This presentation describes the results of a large-scale survey in 12 European countries on the state of the sharing economy. The presentation is part of the Horizon 2020 project "Ps2Share: Participation, Privacy, and Power in the Sharing Economy" (www.ps2share.eu) and the accompanying report can be found here: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3046473
Power sharing is a technique used in democracies to distribute power across different levels of government and groups. In India, power is shared between the central government and state governments. Belgium also employs power sharing between its Dutch-speaking and French-speaking communities through equal representation in government. Sri Lanka has faced civil war due to demands for independence from its Tamil minority, highlighting the need for power sharing between ethnic groups.
The document discusses how sharing content online can benefit businesses through increased traffic and exposure. It covers traditional economic models where consumers pay for goods, current models where digital goods are shared online for free, and potential future models using incentives. The key points are that sharing non-rival and non-excludable "public goods" online allows businesses to gain more visitors and potential customers compared to models where distribution is controlled. Sharing valuable digital content widely has significant benefits for attracting an audience.
The document discusses power sharing in democracy. It provides examples of power sharing in Belgium and Sri Lanka. In Belgium, power is shared between the Dutch-speaking and French-speaking communities through representation in government. In Sri Lanka, the dominance of the Sinhalese community led to the establishment of Sinhalese supremacy over Tamils through acts making Sinhala the sole official language and preferential policies for Sinhalese. This caused distrust between communities and led to the formation of groups demanding an independent Tamil state, resulting in civil war.
Strategies of Employee relations and High Performance StrategiesRajan Neupane
The document discusses strategic employee relation strategies and performance management. It outlines different approaches to employee relations like adversarial, traditional, partnership and power sharing. It also discusses developing high performance work systems through analyzing business strategy, defining performance culture, identifying gaps, and prioritizing and implementing improvements.
Spanish consumers rely most on in-person channels for marketing and sales information and find negative experiences highly frustrating. Their customer service expectations have increased but satisfaction remains low, and loyalty and advocacy are lower than other mature markets. While most Spanish consumers use digital technologies, social media is not seen to significantly impact engagement or opinions.
The State of Content: Rules of Engagement 2016blaiq
Consumers are increasingly multiscreening, using an average of 5 devices and 10 services globally. On average, 83% of global consumers report multiscreening using 2.23 devices simultaneously. While most feel positive emotions from multiscreening like being entertained, connected, and productive, nearly half also feel distracted by it. As attention spans shrink, 59% prefer beautifully designed content over simple content, even with limited time. Display quality and overall design are most important to consumers' content experience. Content needs to be optimized for multiscreening to engage today's distracted, multi-device audiences.
The document discusses the results of a study on consumer content engagement habits. Some key findings include:
- Consumers are increasingly multitasking across multiple devices, averaging use of 2.23 devices simultaneously.
- Nearly half report feeling distracted by multitasking, though most also feel entertained and connected by it.
- 59% prefer beautifully designed content even with limited time, prioritizing display quality in their experiences.
- 89% will stop engaging or switch devices if content is too long or fails to meet expectations of display.
- Entertainment and humor are seen as ways for brands to better connect with consumers, though few rate brand content as entertaining currently.
Power sharing is a technique used in democracies to distribute power across different levels of government and groups. In India, power is shared between the central government and state governments. Belgium also employs power sharing between its Dutch-speaking and French-speaking communities through equal representation in government. Sri Lanka has faced civil war due to demands for independence from its Tamil minority, highlighting the need for power sharing between ethnic groups.
The document discusses how sharing content online can benefit businesses through increased traffic and exposure. It covers traditional economic models where consumers pay for goods, current models where digital goods are shared online for free, and potential future models using incentives. The key points are that sharing non-rival and non-excludable "public goods" online allows businesses to gain more visitors and potential customers compared to models where distribution is controlled. Sharing valuable digital content widely has significant benefits for attracting an audience.
The document discusses power sharing in democracy. It provides examples of power sharing in Belgium and Sri Lanka. In Belgium, power is shared between the Dutch-speaking and French-speaking communities through representation in government. In Sri Lanka, the dominance of the Sinhalese community led to the establishment of Sinhalese supremacy over Tamils through acts making Sinhala the sole official language and preferential policies for Sinhalese. This caused distrust between communities and led to the formation of groups demanding an independent Tamil state, resulting in civil war.
Strategies of Employee relations and High Performance StrategiesRajan Neupane
The document discusses strategic employee relation strategies and performance management. It outlines different approaches to employee relations like adversarial, traditional, partnership and power sharing. It also discusses developing high performance work systems through analyzing business strategy, defining performance culture, identifying gaps, and prioritizing and implementing improvements.
Spanish consumers rely most on in-person channels for marketing and sales information and find negative experiences highly frustrating. Their customer service expectations have increased but satisfaction remains low, and loyalty and advocacy are lower than other mature markets. While most Spanish consumers use digital technologies, social media is not seen to significantly impact engagement or opinions.
The State of Content: Rules of Engagement 2016blaiq
Consumers are increasingly multiscreening, using an average of 5 devices and 10 services globally. On average, 83% of global consumers report multiscreening using 2.23 devices simultaneously. While most feel positive emotions from multiscreening like being entertained, connected, and productive, nearly half also feel distracted by it. As attention spans shrink, 59% prefer beautifully designed content over simple content, even with limited time. Display quality and overall design are most important to consumers' content experience. Content needs to be optimized for multiscreening to engage today's distracted, multi-device audiences.
The document discusses the results of a study on consumer content engagement habits. Some key findings include:
- Consumers are increasingly multitasking across multiple devices, averaging use of 2.23 devices simultaneously.
- Nearly half report feeling distracted by multitasking, though most also feel entertained and connected by it.
- 59% prefer beautifully designed content even with limited time, prioritizing display quality in their experiences.
- 89% will stop engaging or switch devices if content is too long or fails to meet expectations of display.
- Entertainment and humor are seen as ways for brands to better connect with consumers, though few rate brand content as entertaining currently.
Consumers are increasingly multiscreening, using an average of 5 devices and 10 services globally. On average, 83% of consumers report multiscreening using 2.23 devices simultaneously. While most feel entertained, connected and productive while multiscreening, nearly half also feel distracted by it. As attention spans shrink, consumers prefer beautifully designed content even when short on time. Display quality and overall design are most important for content experience. Content needs to be optimized for multiscreen consumption given these multitasking behaviors and expectations.
Connected consumers are not created equal a global perspectiveOliver Grave
Connected consumers are motivated to go online by four main factors: interpersonal connection, self-expression, exploration, and convenience. A global study of 10,000 connected consumers found that over half are continuously connected, often every waking hour. However, the level of continuous connectivity varies by country. While most purchases still occur in-store, connectivity enhances the overall shopping experience by providing access, speed, and convenience. Motivations for connectivity also differ in some ways between developed and developing markets.
The document provides instructions for requesting an assignment writing service from HelpWriting.net in 5 steps:
1. Create an account with a password and email.
2. Complete a 10-minute order form providing instructions, sources, and deadline. Attach a sample if imitating writing style.
3. Review bids from writers and choose one based on qualifications, history, and feedback, then pay a deposit.
4. Review the completed paper and authorize full payment if pleased, or request revisions for free.
5. Request multiple revisions to ensure satisfaction, with a full refund option for plagiarized content.
Mba Scholarship Essay Examples. Online assignment writing service.Sonya Pope
The document discusses three groups that experienced similar hardships during World War 2 due to Germany: Jews, Poles, and Soviet citizens. Jews faced discrimination, ghettoization, and the Holocaust. Poles endured oppression, exploitation of resources, and brutal treatment. Soviet citizens suffered mass killings, starvation, and devastation of towns under German occupation. All three groups faced immense suffering inflicted by Nazi Germany as it sought to expand its territory and influence across Europe during the war.
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This document discusses therapeutic approaches for treating personality disorders. It provides learning objectives for students to analyze therapeutic approaches and consider one they might use for a specific personality disorder. It outlines requirements for a discussion post, including describing a personality disorder, explaining a therapeutic approach and how the client would be informed of the diagnosis. Key requirements are a clear purpose statement, citing scholarly resources, and addressing all bullet points.
PPT - How To Write A Literary Essay PowerPoint PresentNancy Rinehart
Here are the key steps to determine the hardness of water using a calcium carbonate stock solution:
1. Make dilutions of the calcium carbonate stock solution (e.g. 10 mL stock in 100 mL water) to create calibration standards of known hardness.
2. Add an aliquot of each standard to a graduated cylinder along with detergent.
3. Shake vigorously and record the height of the bubbles/foam. This is inversely related to hardness - more bubbles means softer water.
4. Plot bubble height vs concentration on a graph. Determine the line of best fit equation in the form of y = mx + c.
5. Add an aliquot of the unknown tap water sample
Financial Services: Insight and TrendsNadya Powell
What do customers think of Financial Services brands? What cultural trends should Financial Services brands take note of. This deck hopefully gives you everything you need to know. Thanks to Zoe Decool for research help.
This document summarizes the key findings of a survey of 1,001 low-income consumers regarding their awareness, perceptions and attitudes about smart grids and smart meters. Some of the main findings include: 1) Low-income consumers have less awareness and more unfavorable views of smart grids/meters than the general population. 2) They prefer to get news from TV and in their preferred language. 3) They value the reliability and outage prevention benefits of smart grids similarly to other consumers. 4) They are as interested as others in dynamic pricing programs but less in "pay as you go" programs. 5) They believe in energy efficiency but have less knowledge of actions to implement it.
The document discusses key considerations for implementing a successful telework program within a company's culture. It notes that top management buy-in is important for telework to work. Some companies may not be ready for the flexibility and cultural changes that telework requires. Management may also mistrust that employees will be productive without direct supervision. Companies will need to address IT security and data protection if allowing telework.
How Multi-Generational Farming Operations Make Major Purchase DecisionsPaulsen
Older producers are getting ready to retire. Younger producers are taking on more responsibility on the farm. Both have their own opinions about buying equipment, inputs and technology. Find out what they have to say in Paulsen Marketing’s latest thought paper.
Fintech Data: Unpacking Digital Wealth Advice ComponentsJosh Book
Customer focused digital wealth syndicated research overview uses innovative data products and executive level financial services experience to deliver leading data driven insights to help firms make choices.
This document outlines the chapter structure and learning objectives for a microeconomics textbook. It introduces key concepts that will be covered in each chapter, such as the economic problem of scarcity, how economies answer fundamental questions of production and distribution, the role of economic models, and the differences between microeconomics and macroeconomics. The chapter outlines provide an overview of the essential information that will be presented in each chapter for students to understand economic foundations and models.
What People Want: Accenture Public Service Citizen Survey - Wave 2accenture
What do people want from digital government? We asked thousands of citizens across six countries: Australia, France, Germany, Singapore, UK and USA. We suggest a three part agenda for decision makers in governments, public service agencies and digital government program offices: create delightful experiences, focus on public safety and leverage digital platforms to involve citizens.
The document discusses research into debt recovery practices in the UK. It finds that over 60% of UK adults have experienced debt recovery procedures. The reasons for debt are often not due to affordability issues alone, and include factors like forgetfulness and protest over inaccurate bills. Retailers are seen as using best practices like friendly staff and payment options, while energy companies, local authorities, and credit card companies often use poor practices like aggressive tactics. Getting debt recovery right can improve customer loyalty and promptness of future payments, while poor practices may cause customers to switch or delay payments in retaliation.
Ericsson ConsumerLab: Smartphone Usage Experience ReportEricsson
For more from the ConsumerLab visit: http://www.ericsson.com/thinkingahead/consumerlab
Having access to an internet connection has become an integrated part of everyday life. Each day, around 40 percent of smartphone owners use their smartphones before they have
even got out of bed. On the morning commute, data usage peaks at nearly 70 percent and remains high throughout the day, with users accessing the network in short and frequent bursts.
For the purpose of this report, Ericsson ConsumerLab conducted surveys across Finland, Switzerland and the Netherlands. Consumers were asked to discuss their
perception of network quality, including current satisfaction levels and common problems encountered. from this, it was possible to assess the potential impact for operators. The findings compare feedback from 3,000 smartphone users who took part in an online survey alongside the experiences of a further 500 smartphone users. These 500 users were provided with a tailor made app with which to log the nature and frequency of any issues encountered – and their reactions to these issues.
The document summarizes key findings from the 2015 Aimia Global Loyalty Lens report. It finds that:
1) Younger consumers, especially Millennials and Generation Z, are more willing to share personal information with companies in exchange for personalized offers and content. Over 80% of respondents globally are willing to share basic contact details.
2) Customer loyalty programs have very high membership rates globally, with an average of 85% of consumers belonging to at least one program. However, there is some country-level variation, with Germans being the least likely to join at 31%.
3) Trust is a more important factor for consumers sharing data than rewards. While rewards can influence some "non-shar
A general report that looks at the communication and marketing trends happening in the market. Report covers both technology factors and consumer trends, and how these two areas are converging like never before.
Nordic Centre for Internet & Society - An IntroductionChristoph Lutz
This document summarizes the work of the Nordic Centre for Internet & Society. It discusses their research agenda focusing on how digital technologies impact work and social interactions. Their research examines issues like virtual teams, self-quantification, sharing economies, and human-machine interaction from perspectives of labor specialization, fairness, diversity and participation. It also outlines some of their current research projects investigating sharing platforms and privacy concerns. The center is made up of eight scholars and is looking at topics such as the sharing economy, online participation, and privacy in different online contexts.
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The document provides instructions for requesting an assignment writing service from HelpWriting.net in 5 steps:
1. Create an account with a password and email.
2. Complete a 10-minute order form providing instructions, sources, and deadline. Attach a sample if imitating writing style.
3. Review bids from writers and choose one based on qualifications, history, and feedback, then pay a deposit.
4. Review the completed paper and authorize full payment if pleased, or request revisions for free.
5. Request multiple revisions to ensure satisfaction, with a full refund option for plagiarized content.
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The document discusses three groups that experienced similar hardships during World War 2 due to Germany: Jews, Poles, and Soviet citizens. Jews faced discrimination, ghettoization, and the Holocaust. Poles endured oppression, exploitation of resources, and brutal treatment. Soviet citizens suffered mass killings, starvation, and devastation of towns under German occupation. All three groups faced immense suffering inflicted by Nazi Germany as it sought to expand its territory and influence across Europe during the war.
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This document discusses therapeutic approaches for treating personality disorders. It provides learning objectives for students to analyze therapeutic approaches and consider one they might use for a specific personality disorder. It outlines requirements for a discussion post, including describing a personality disorder, explaining a therapeutic approach and how the client would be informed of the diagnosis. Key requirements are a clear purpose statement, citing scholarly resources, and addressing all bullet points.
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Here are the key steps to determine the hardness of water using a calcium carbonate stock solution:
1. Make dilutions of the calcium carbonate stock solution (e.g. 10 mL stock in 100 mL water) to create calibration standards of known hardness.
2. Add an aliquot of each standard to a graduated cylinder along with detergent.
3. Shake vigorously and record the height of the bubbles/foam. This is inversely related to hardness - more bubbles means softer water.
4. Plot bubble height vs concentration on a graph. Determine the line of best fit equation in the form of y = mx + c.
5. Add an aliquot of the unknown tap water sample
Financial Services: Insight and TrendsNadya Powell
What do customers think of Financial Services brands? What cultural trends should Financial Services brands take note of. This deck hopefully gives you everything you need to know. Thanks to Zoe Decool for research help.
This document summarizes the key findings of a survey of 1,001 low-income consumers regarding their awareness, perceptions and attitudes about smart grids and smart meters. Some of the main findings include: 1) Low-income consumers have less awareness and more unfavorable views of smart grids/meters than the general population. 2) They prefer to get news from TV and in their preferred language. 3) They value the reliability and outage prevention benefits of smart grids similarly to other consumers. 4) They are as interested as others in dynamic pricing programs but less in "pay as you go" programs. 5) They believe in energy efficiency but have less knowledge of actions to implement it.
The document discusses key considerations for implementing a successful telework program within a company's culture. It notes that top management buy-in is important for telework to work. Some companies may not be ready for the flexibility and cultural changes that telework requires. Management may also mistrust that employees will be productive without direct supervision. Companies will need to address IT security and data protection if allowing telework.
How Multi-Generational Farming Operations Make Major Purchase DecisionsPaulsen
Older producers are getting ready to retire. Younger producers are taking on more responsibility on the farm. Both have their own opinions about buying equipment, inputs and technology. Find out what they have to say in Paulsen Marketing’s latest thought paper.
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This document outlines the chapter structure and learning objectives for a microeconomics textbook. It introduces key concepts that will be covered in each chapter, such as the economic problem of scarcity, how economies answer fundamental questions of production and distribution, the role of economic models, and the differences between microeconomics and macroeconomics. The chapter outlines provide an overview of the essential information that will be presented in each chapter for students to understand economic foundations and models.
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For more from the ConsumerLab visit: http://www.ericsson.com/thinkingahead/consumerlab
Having access to an internet connection has become an integrated part of everyday life. Each day, around 40 percent of smartphone owners use their smartphones before they have
even got out of bed. On the morning commute, data usage peaks at nearly 70 percent and remains high throughout the day, with users accessing the network in short and frequent bursts.
For the purpose of this report, Ericsson ConsumerLab conducted surveys across Finland, Switzerland and the Netherlands. Consumers were asked to discuss their
perception of network quality, including current satisfaction levels and common problems encountered. from this, it was possible to assess the potential impact for operators. The findings compare feedback from 3,000 smartphone users who took part in an online survey alongside the experiences of a further 500 smartphone users. These 500 users were provided with a tailor made app with which to log the nature and frequency of any issues encountered – and their reactions to these issues.
The document summarizes key findings from the 2015 Aimia Global Loyalty Lens report. It finds that:
1) Younger consumers, especially Millennials and Generation Z, are more willing to share personal information with companies in exchange for personalized offers and content. Over 80% of respondents globally are willing to share basic contact details.
2) Customer loyalty programs have very high membership rates globally, with an average of 85% of consumers belonging to at least one program. However, there is some country-level variation, with Germans being the least likely to join at 31%.
3) Trust is a more important factor for consumers sharing data than rewards. While rewards can influence some "non-shar
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The Dark Side of Online Participation (AoIR 2016 talk)Christoph Lutz
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Connected for Success: How Network Centrality on ResearchGate Relates to Bibl...Christoph Lutz
Academic social network sites (SNS) are booming. A recent large-scale survey published in Nature indicates that almost 90 percent of researchers in science and engineering and more than 70 percent in the social sciences, arts and humanities are aware of ResearchGate – next to Academia.edu the largest academic SNS with more than 6 million users. However, only limited research has been carried out on academic SNS. Although a vivid community creates and implements alternative measures of scientific impact with social media data, little use has been made of the potential of academic SNS as a data source. Consequently, few studies employ person-based metrics that cover users’ social capital in the form of structural indicators and network statistics (centrality, density, homophily, clustering). This contribution draws on extensive data from ResearchGate to address this issue and add a relational component to altmetrics research. It includes a follower/following network of 302 nodes on ResearchGate: the complete faculty of a Swiss public university who are members on this academic SNS as of early 2014. We describe the overall network with classical metrics of social network analysis and compute the centrality of each individual node. Results indicate low density, high institutional homophily, a skewed degree distribution and many isolates. We then compare the structural properties of individual nodes with other metrics of influence. To do so, the network data is complemented with detailed attribute data, such as department affiliation, gender and position within the university hierarchy. Moreover, we collect researchers’ activity on ResearchGate, bibliometric information, webometrics and altmetrics, i.e., the prominence of their publications on general and specific social media platforms. We evaluate whether the relational aspect of influence in the form network centrality correlates with activity, bibliometric, webometric and almetrics indicators as well as personal attributes. Significant and intermediate correlations between activity and centrality are found, while the correlations between centrality and bibliometric as well as altmetrics are weaker but still significant. No significant correlations between webometrics (coverage of publications on general social media platforms, like Twitter and Facebook) and network centrality occur. The analysis suggests that network centrality is distinct but correlated with (bibliometric) output metrics and therefore worthy of inclusion in future altmetrics studies.
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Social media are becoming more and more popular in scientific communication. Scientists use them for a range of purposes, from sharing publications, to blogging about their own or others’ research, conference tweeting, interpersonal communication and online participation, for example via Q&As on academic social network sites like ResearchGate and academia.edu. Moreover, many social media platforms can be used for impact measurement via so-called altmetrics. Altmetrics capture and aggregate social media metrics such as (re)tweets, Facebook likes, Mendeley bookmarks and Wikipedia cites. They can challenge or at least complement bibliometric impact measures, like the Journal Impact Factor and the h-index, which have been criticized on various grounds. This presentation first summarizes recent studies on social media adoption in science. It then focuses on altmetrics and summarizes key findings in that domain. Finally, it gives a hands-on introduction to altmetrics by demonstrating two prominent services: Impactstory and Altmetric.com.
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This presentation emerged from a project at the Digital Methods Summer School at the University of Amsterdam (https://wiki.digitalmethods.net/Dmi/SummerSchool2014). Tommaso Elli, Myrthe Bil, Claudio Coletta, Iris Beerepot, Carlo de Gaetano and I formed the project group. We were interested in the representation of Twitter bots at the World Cup 2014 in Brasil and used different approaches and techniques to detect the bots. It must be said, though, that our approach is largely explorative and cannot provide an exhaustive overview of bot activity at the WorldCupt 2014. Still, some interesting findings emerged that we compiled to this presentation.
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This presentation is a summary of my master thesis. The presentation was on 28 November 2012 in the marvellous and splendid city of Zurich @ University of Zurich.
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Millions of researchers all around the world have profiles on academic social network sites, such as ResearchGate, Academia.edu, or Mendeley. Still these channels are hardly used for impact assessment. While scientific impact has traditionally been measured with bibliometrics, social media provide new avenues for influence measurement (Altmetrics). We focus on one specific type of social media, namely academic social network sites. How can such platforms provide insights into scientific impact and add to Altmetrics? To answer this question, we rely on a social network analysis of a research community on ResarchGate. The underlying data was provided by the platform provider. It contains detailed interaction and publication information of 55 faculty members of a Swiss public university. We apply a structural perspective and use centrality measures as core indicators of influence within the network.
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During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
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In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
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* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
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See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
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- Key themes to consider in developing and maintaining your privacy program
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
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Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
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The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Programming Foundation Models with DSPy - Meetup Slides
Power in the Sharing Economy: European Perspectives
1. Survey Results
Power in the Sharing Economy: European
Perspectives
October, 2017
Gemma Newlands, Christoph Lutz, and Christian Fieseler
2. Power in the
Sharing Economy
Page 2 Executive Summary
Peer-to-Peer
Relationships
• Users of the sharing economy report moderate levels of emotional labor.
• Consumers perceive themselves as receiving better interpersonal treatment than providers.
• Sharing economy consumers have high expectations of professionalism from providers.
• The majority of participants do not want the rating/review system to be removed.
• However, almost one in five consumers think that consumers should not be rated/reviewed.
Peer-to-Platform
Relationships
• Sharing economy users have low expectations that platforms would take action to correct their
concerns.
• Almost a third of users are hesitant to question a sharing platform’s policies.
• Less than half of all users think that sharing platforms’ pricing policies are fair.
• European users agree that platforms take too much money from each transaction.
• Almost a third of all providers feel pressured to provide more often than they would like.
Platform-to-Society
Relationships
• More than a third of all providers use online communities to connect with other providers.
• Non-users are more supportive of provider unionization than users.
• A large majority of respondents think that sharing platforms should follow the same rules and
regulations as established companies.
• Respondents want some regulation but not a complete ban.
3. Power in the
Sharing Economy
Page 3
Introduction:
Power and
the Sharing Economy1User perceptions and concerns
4. Power in the
Sharing Economy
Page 4
Overview of the Report
Peer-to-Peer
Relationships
Peer-to-Platform
Relationships
Platform-to-Society
Relationships
Power Dynamics
The growth of commercial sharing platforms, the breadth of their economic and social
impact, and the conflicting interests among stakeholders have brought to light
underlying tensions in the perceived power-balance between platforms, providers, and
consumers. In the three sections of this presentation, we address peer-to-peer
relationships, peer-to-platform relationships, and the platform-to-society relationships.
5. Power in the
Sharing Economy
Page 5
Emotional Labor in the
Sharing Economy
2Self-conscious emotional regulation among
providers and consumers during a sharing
transaction
6. Power in the
Sharing Economy
Page 6
Emotional Labor
Sharing with strangers often necessitates human interaction. However, the ‘service layer’ of
certain platforms demands emotional regulation akin to traditional service industries. Are
providers, and even consumers, forced to put on a friendly face?
7. Power in the
Sharing Economy
Page 7
Emotional Labor: Sharing Economy users present high
levels of emotional labor during transactions.
83.6%
of users usually express*
friendly emotions during
a sharing transaction.
63.2%
of users usually hide*
their annoyance about
something during a
sharing transaction.
*Percentage of providers/consumers who selected “About half the time”, “Most of the
time”, or “Always”
62.7%
of users usually hide*
their disapproval about
something during a
sharing transaction.
8. Power in the
Sharing Economy
Page 8
Consumers perform more emotional labor than
providers.
N = 1699 Consumers and Providers: 556 Providers and 1143 Consumers; Arithmetic means for each item are displayed. 1-5
scale with 1-never, 2-sometimes, 3-about half the time, 4-most of the time, 5-always
3.1
3.38
2.77 2.74
3.2
3.48
2.78
2.83
Express feelings of sympathy (e.g., saying
you are sorry to hear about something,
saying you understand).
Express friendly emotions (e.g., smiling,
giving compliments, making small talk).
Hide your disapproval about something
someone has done.
Hide your annoyance about something
someone has done.
Providers Consumers
The largest differences
between consumers and
providers are in
expressing positive
emotions
9. Power in the
Sharing Economy
Page 9
text
3.24
3.56
2.82 2.83
3.1
3.35
2.74 2.77
Express feelings of sympathy (e.g., saying
you are sorry to hear about something,
saying you understand).
Express friendly emotions (e.g., smiling,
giving compliments, making small talk).
Hide your disapproval about something
someone has done.
Hide your annoyance about something
someone has done.
Female Male
The biggest gap between
genders is in expressing
friendly emotions
Women perform more emotional labor than men.
N = 1699 Consumers and Providers: 556 Providers and 1143 Consumers; Arithmetic means for each item are displayed. 1-5
scale with 1-never, 2-sometimes, 3-about half the time, 4-most of the time, 5-always
10. Power in the
Sharing Economy
Page 10
Portuguese users perform the most expressive emotional
labor; Norwegian users perform the least.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-never, 2-sometimes,
3-about half the time, 4-most of the time, 5-always
Portugal reports highest
scores on both elements.
3.44
3.41
3.18
3.85
3.61
3.32
3.28
3.58
3.5
3.43.4
3.473.45
2.99
3.253.25
3.75
3.18
2.95
3.22
3.13
3.04
3.24
3.13.08
3.18
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-
Country
Average Express friendly emotions (e.g., smiling, giving compliments, making small talk).
Express feelings of sympathy (e.g., saying you are sorry to hear about something, saying you understand).
Norway reports low
scores on both elements.
11. Power in the
Sharing Economy
Page 11
Users do not frequently perform suppressive
emotional labor.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-never, 2-sometimes,
3-about half the time, 4-most of the time, 5-always
English speaking
participants score highest
for suppressive emotional
labor.
France and The
Netherlands report the
least suppressive
emotional labor.
2.84
2.78
2.89
2.77
2.89
2.82
2.51
2.77
2.93
2.83
2.55
2.762.78
2.92
2.75
2.8
2.89
2.77
2.9
2.6
2.87
2.95
2.77
2.59
2.77
2.8
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-
Country
Average
Hide your disapproval about something someone has done. Hide your annoyance about something someone has done.
12. Power in the
Sharing Economy
Page 12
Key Insights into Emotional Labor
• Users of the sharing economy report, on average, moderate to high levels of
expressing positive emotions and moderate levels of suppressing negative
emotions.
• However, consumers score slightly higher for emotional labor than providers.
• Women perform more emotional labour than men.
• There is a North-South pattern, with Southern European countries such as
Portugal and Italy having higher values for emotional labor than Northern
European countries such as Norway.
13. Power in the
Sharing Economy
Page 13
Interpersonal Treatment
in the Sharing Economy3Do providers and consumers treat each other
with respect, dignity, and politeness?
14. Power in the
Sharing Economy
Page 14
Interpersonal Treatment
The respectful treatment of one’s peers is an underappreciated aspect of the experiential
reality of the sharing economy. For those who share more frequently, how users are treated
has a significant impact on whether the sharing economy provides decent working conditions.
15. Power in the
Sharing Economy
Page 15
Consumers perceive themselves as receiving better
treatment than providers.
3.68
3.62 3.61
3.92
3.83
3.88
Consumers/Providers treat me in a polite manner. Consumers/Providers treat me with dignity. Consumers/Providers treat me with respect.
Providers Consumers
N = 1699 Consumers and Providers; Arithmetic means for each group are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Users overall still
perceive themselves as
being treated with
politeness, dignity, and
respect.
16. Power in the
Sharing Economy
Page 16
text
3.94
3.85
3.89
3.74
3.68
3.7
Consumers/Providers treat me in a polite manner. Consumers/Providers treat me with dignity. Consumers/Providers treat me with respect.
Female Male
Female users perceive themselves as receiving better
treatment than male users.
N = 1699 Consumers and Providers; Arithmetic means for each gender are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
The largest experiential
difference between
genders is in polite
treatment.
17. Power in the
Sharing Economy
Page 17
Perceptions of respectful treatment differ between
northern and southern Europe.
3.69
3.6
3.78
4.19
3.48
3.17
3.5
3.67
3.72
3.53
3.89
3.36
3.63
3.89
3.81
4.07
4.16
3.783.78
3.81
3.87
3.823.83
3.863.85
3.88
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
Consumers treat me with respect. Providers treat me with respect.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Norwegian and Danish
providers feel the least
respected by consumers.
Portuguese and
Spanish consumers
feel the most respected
by providers.
18. Power in the
Sharing Economy
Page 18
Professionalism: Sharing Economy users have high
expectations of professionalism from their peers.
66%
of consumers expect* a
professional level of
service from their
providers.
*Percentage of providers/consumers who selected “somewhat agree” or “strongly agree”
19. Power in the
Sharing Economy
Page 19
European consumers expect a professional level of
service from their providers.
N = 1143 Consumers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree,
3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Italian and English speaking
consumers have the highest
expectations of professionalism
from their providers.
Dutch, Swiss, French
and German consumers
have the lowest
expectation of
professionalism from their
providers.
3.98
3.63
3.76
3.84
3.75
3.78
3.57
4.11
4.01
3.653.65
3.83.79
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
20. Power in the
Sharing Economy
Page 20
text
Younger consumers have the lowest expectations of
professionalism from providers.
3.66
3.84
3.79
3.88 3.89
18-24 25-34 35-44 45-54 55-65
I expect a professional level of service from my providers.
N = 1143 Consumers; Arithmetic means for each age-group are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat
disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Young consumers
show a sharp increase in
expected professionalism
in their mid-20s.
21. Power in the
Sharing Economy
Page 21
Key Insights on Interpersonal Treatment
• Overall treatment of peers in the European sharing economy is very good:
Consumers and providers treat each other with respect, with dignity, and in a
polite manner.
• Consumers report better treatment than providers.
• Women report better treatment than men.
• Consumers expect a professional level of service from providers.
• Service expectations increase with age.
22. Power in the
Sharing Economy
Page 22
The Rating/Review
Systems of the Sharing
Economy4The feedback systems employed by sharing
economy platforms are essential in building
trust between strangers
23. Power in the
Sharing Economy
Page 23
The Rating/Review Systems
Rating systems, through their ability to determine the eligibility and ranking of providers, put
consumers into a position of control. But what can you expect from a five-star rating…and
how far would you go to get one?
24. Power in the
Sharing Economy
Page 24
The Irish and southern Europeans have the most
positive assessment of the rating/review systems
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Ireland and Southern
Europe perceive
rating/review systems as
the most fair.
The Netherlands and
Norway perceive
rating/review systems as
the least fair (but still
overall agree).
3.52
3.33
3.59
3.44
3.33
3.233.22
3.66
3.56
3.35
3.38
3.433.42
3.59
3.39
3.69
3.55
3.39
3.41
3.36
3.61
3.7
3.41
3.543.55
3.52
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
The rating/review system is fair. The rating/review system works well.
25. Power in the
Sharing Economy
Page 25
Consumers perceive rating/review systems more
positively than providers.
N = 1699 Consumers and Providers: 556 Providers and 1143 Consumers; Arithmetic means for each item are displayed. 1-5
scale with 1-strongly disagree, 2-somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
3.38
3.46
3.43
3.57
Providers Consumers
The rating/review system is fair. The rating/review system works well.
Users overall tend to
perceive rating/review
systems as fair and
working well.
26. Power in the
Sharing Economy
Page 26
Ratings Literacy: Sharing Economy consumers feel only
moderately comfortable with how the rating/review
systems work.
53.9%
of consumers claim* to
know how the
rating/review system
works.
48.8%
of providers agree* that
consumers know how
the rating/review system
works
*Percentage of providers/consumers who selected “somewhat agree” or “strongly agree”
27. Power in the
Sharing Economy
Page 27
Ratings and Reviews: Sharing Economy users overall do
not think that the rating/review systems should be
removed.
*Percentage of consumers who selected “somewhat agree” or “strongly agree”
19.2%
of consumers think* that
consumers should not be
rated/reviewed.
28. Power in the
Sharing Economy
Page 28
Ratings and Reviews: Sharing Economy users overall do
not think that the rating/review systems should be
removed.
22.4%
of providers want* the
rating/review systems to
be removed
12.5%
of consumers want* the
rating/review systems to
be removed
*Percentage of providers/consumers who selected “somewhat agree” or “strongly agree”
29. Power in the
Sharing Economy
Page 29
European providers are divided over the accuracy of
their ratings.
N = 556 Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree, 3-
neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Irish and Portuguese
providers think that
consumers have the most
unrealistic expectations.
Dutch providers agree that
consumers have unrealistic
expectations… but
nevertheless think that
consumers are the least
harsh.
2.96
2.55
3.02
3.38
2.48
3.03
2.38
2.47
3.03
2.43
2.48
2.66
2.74
3.31
2.88
3.13
3.38
2.74
3.08
3.31
3.05
3.53
2.77
2.98
2.78
3.08
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
Consumers rate me too harshly. Consumers have unrealistic expectations.
30. Power in the
Sharing Economy
Page 30
Uber drivers perceive their ratings to be the most
tough.
N = 1253 Consumers and Providers; Arithmetic means for each item are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat
disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
2.66
2.33
3.08
2.41
2.32
2.68
Airbnb BlaBlaCar Uber
Consumers rate me too harshly. Providers rate me too harshly.
Uber customers also report
highest dissatisfaction with the
rating/review process.
31. Power in the
Sharing Economy
Page 31
Southern European users think that the rating/review
system creates power imbalances.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Southern European
providers view the
rating/review system as
most disempowering.
3.31
2.93
3.37
3.69
3.05
3.02
2.88
3.49
3.36
2.83
3.26
3.16
3.2
3.15
2.98
3.15
2.78
2.97
3.18
2.8
3.45
3.15
2.83
3.3
2.93
3.06
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
The rating/review system gives consumers power over me. The rating/review system gives providers power over me.
32. Power in the
Sharing Economy
Page 32
Key Insights on the Rating/Review System
• Rating/review systems are assessed relatively positively and seen as a
necessary part of the sharing economy.
• A sizable minority of respondents reports only moderate knowledge about
how the rating/review systems work.
• Countries are divided about whether consumers have unrealistic expectations
towards providers.
• Uber drivers perceive the rating/review systemss as tougher than Airbnb hosts
and BlaBlaCar drivers.
33. Power in the
Sharing Economy
Page 33
Dispute Resolution in
the Sharing Economy
5Despite the cutting-edge technologies which
characterize certain sharing economy
platforms, peer-to-peer transactions between
strangers and mediated by sharing platforms
might not always go flawlessly….
34. Power in the
Sharing Economy
Page 34
Dispute Resolution
Platforms mediate communication through software, determining what, how, and when
comments can be made by users. Since customer service interactions are mediated, how can
users resolve problems that arise?
35. Power in the
Sharing Economy
Page 35
Platform concerns: Sharing Economy users have low
expectations about platforms resolving their user
problems.
36.5%
of users think* that
sharing platforms give
high priority to handling
user concerns.
38.9%
of users think* that
sharing platforms would
take action to correct
their concerns.
49.7%
of users think* that all
users are treated the
same by the sharing
platform.
*Percentage of providers/consumers who selected “somewhat agree” or “strongly agree”
36. Power in the
Sharing Economy
Page 36
Northern Europeans have lower perceptions of platforms
as problem solvers than southern Europeans.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Dutch and Norwegian
users report the lowest
opinions of platforms as
problem solvers.
Italian, Portuguese
and Spanish users
report the highest
opinions of platforms as
problem solvers.
3.3
3.21
3.57
3.42
3.34
3.11
3.06
3.42
3.33
3.31
3.37
3.22
3.3
3.3
3.22
3.52
3.45
3.15
3.08
3.11
3.48
3.333.32
3.4
3.19
3.3
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
The sharing platform takes action to correct the concerns that I bring up. The sharing platform gives high priority to handling provider/consumer concerns.
37. Power in the
Sharing Economy
Page 37
Providers assign more responsibility to themselves for
resolving issues which come up during a sharing experience.
15.1
11 8.6
43
25
19.9
41.5
64
71.5
Providers Consumers Aware Non-Users
Providers Sharing Platforms Both Sharing platforms and Providers
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each item are displayed. Respondents were asked “Who
do you think should be responsible for resolving problems that might come up during a sharing experience?“.
38. Power in the
Sharing Economy
Page 38
Italians view platforms as more responsible for resolving
problems that might come up during a sharing experience.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each item are displayed. Respondents were asked “Who
do you think should be responsible for resolving problems that might come up during a sharing experience?“.
6.7
10
6.1
11.511.3
16.2
10.17.8
11.812.4
4.1
9.59.79
17
28.3
31.4
26.926.9
23.5
16.7
31.1
17.8
23.4
25.4
20.9
24
76.7
61.762.561.861.860.4
73.1
61.1
70.4
64.2
70.669.5
66.2
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
Providers Sharing Platforms Both Sharing platforms and Providers
39. Power in the
Sharing Economy
Page 39
Providers assign more responsibility to themselves for
resolving negative externalities.
20.70
11.20 9.90
45.00
37.10
25.50
34.40
51.70
64.90
Providers Consumers Aware Non-Users
Providers Sharing Platforms Both Sharing platforms and Providers
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each item are displayed. Respondents were asked “Who
do you think should be responsible for resolving problems that impact non-users?“.
40. Power in the
Sharing Economy
Page 40
Norwegians view providers as more responsible for
resolving negative externalities.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each country are displayed. Respondents were asked
“Who do you think should be responsible for resolving problems that impact non-users?“.
9.5011.9
7.7
13.614.516.4
7.59.6
13.913.3
5.1
1311.33
25.20
32.739.126.926.9
26.9
28.3
33.221.4
34.7
33.3
26.129.56
65.30
55.353.2
59.558.6
58.6
64.2
57.2
64.7
52
61.760.959.27
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
Providers Sharing Platforms Both Sharing platforms and Providers
41. Power in the
Sharing Economy
Page 41
Key Insights on Dispute Resolution
• Sharing economy users in Europe have low expectations about how sharing
platforms handle their concerns. However, a large part might not have
experienced concerns and are undecided.
• There is a North-South difference: Southern European users assess platforms
more positively when it comes to handling concerns, northern European and
Dutch users are more critical.
• Providers see more responsibility among themselves and on the side of the
sharing platform to resolve problems during and after sharing transactions.
Consumers and aware non-users see both the providers and the platforms
responsible to a larger extent.
• Users in Italy and Spain see platform responsibility as particularly pronounced,
whereas users in Norway report higher values for provider responsibility.
42. Power in the
Sharing Economy
Page 42
Terms and Conditions in
the Sharing Economy
6Terms and conditions are crucial elements of
a platform’s governance. They describe user
rights and show the underlying philosophies
of how a platform operates
43. Power in the
Sharing Economy
Page 43
Terms and Conditions
The human limitations of information processing when it comes to ‘terms and conditions’
enables sharing platforms to unilaterally determine the terms of exchange. Do users
understand the terms and conditions? Are they even accessible?
44. Power in the
Sharing Economy
Page 44
Terms and Conditions: Sharing Economy users are
largely ambivalent about the terms and conditions of
platforms.
25.6%
of users think* that
sharing platforms change
the terms and conditions
too frequently.
46.9%
of users think* that the
terms and conditions of
platforms are easy to
understand.
32.9%
of users are hesitant* to
question sharing
platform’s policies.
*Percentage of providers/consumers who selected “somewhat agree” or “strongly agree”
45. Power in the
Sharing Economy
Page 45
BlaBlaCar is perceived to have the most accessible
terms and conditions. Uber has the least accessible.
3.56
3.6
3.28
3.37
3.51
3.17
3.33
3.43
3.05
Airbnb BlaBlaCar Uber
The terms and conditions are easy to find. The terms and conditions are easy to understand. I have read the terms and conditions.
N = 1253 Consumers and Providers; Arithmetic means for each group are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
46. Power in the
Sharing Economy
Page 46
European users display moderate literacy about
platform terms and conditions.
3.2
3.13
3.64
3.3
3.46
3.39
2.94
3.5
3.31
3.23
3.41
3.27
3.32
3.05
3.1
3.62
3.18
3.34
3.14
2.73
3.54
3.3
3.2
3.5
3.13
3.24
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
The terms and conditions are easy to understand. I have read the terms and conditions.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Dutch users have the
lowest literacy about
platform terms and
conditions.
Spanish users have the
highest literacy about
platform terms and
conditions.
47. Power in the
Sharing Economy
Page 47
Older users display higher literacy about platform
terms and conditions.
3
3.2
3.34
3.45
3.5
3.43
3.56 3.55
3.68 3.68
18-24 25-34 35-44 45-54 55-65
I have read the terms and conditions. I feel confident in my understanding of how the sharing platform operates.
N = 1699 Consumers and Providers; Arithmetic means for each age-group are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
48. Power in the
Sharing Economy
Page 48
Across Europe, participants show hesitancy towards
questioning a platform’s policies.
2.972.97
3.16
2.99
3.59
3.18
3.26
3.32
2.97
2.94
3.04
2.9
3.11
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Polish users are the most
hesitant to question a platform’s
policies.
Danish users are the least
hesitant to question a platform’s
policies.
49. Power in the
Sharing Economy
Page 49
Key Insights on Terms and Conditions
• Sharing economy users have mixed opinions about platform terms and
conditions, with a slight positive angle overall.
• BlaBlaCar’s terms and conditions fare best, followed by Airbnb. Users assess
Uber’s terms and conditions as the worst among the three major sharing
platforms in Europe.
• Users in the Netherlands report the lowest levels of literacy about terms and
conditions. Those in Spain report the highest levels.
• Literacy about sharing platforms and their terms and conditions increases with
age.
• Polish users are least critical towards platform policies. Danish users are most
critical.
50. Power in the
Sharing Economy
Page 50
Pricing in the Sharing
Economy
7The complicated model of sharing economy
pricing can raise questions about the
transparency and fairness of platform pricing
models
51. Power in the
Sharing Economy
Page 51
Pricing
Sharing economy platforms continue to ‘disrupt’ traditional businesses, operating with new
pricing options and models. Are these options fair? Are platforms taking too much of a ‘cut’
for what is simply mediating between peers?
52. Power in the
Sharing Economy
Page 52
Pricing: Opinions vary about the fairness of the sharing
economy’s pricing mechanisms.
31.5%
of users think* that the
sharing platform cut is
too large.
54%
of users think* that
sharing platforms
provide clear
information about the
pricing system.
44.6%
of users think* that the
sharing platforms’ pricing
policies are fair.
*Percentage of providers/consumers who selected “somewhat agree” or “strongly agree”
53. Power in the
Sharing Economy
Page 53
text
3.36
3.44
3.48
3.62
3.65
18-24 25-34 35-44 45-54 55-65
The sharing platform provides clear information about the pricing system.
Older users perceive platform pricing information
most clearly.
N = 1699 Consumers and Providers; Arithmetic means for each age-group are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Users show a sharp
increase in perceived pricing
clarity in their mid-40s.
54. Power in the
Sharing Economy
Page 54
European Users agree that platforms take too much
money from each transaction.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
3.18
3.01
3.36
3.33
3.15
3.063.05
3.28
3.21
3.01
3.33
3.1
3.17
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
Spain, Portugal, and
France score highest for
perceiving the platform
cut to be too high.
Switzerland and
Germany score lowest
for perceiving the
platform cut to be too
high.
55. Power in the
Sharing Economy
Page 55
European users perceive platform pricing policies as
being moderately fair.
N = 1699 Consumers and Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-
somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
3.32
3.29
3.413.41
3.32
3.27
3.29
3.52
3.38
3.39
3.28
3.353.35
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
Norwegians perceive
platform pricing policies
as the least fair.
Italians perceive
platform pricing policies
as the most fair.
56. Power in the
Sharing Economy
Page 56
Key Insights on Pricing
• Users’ opinions about pricing practices are mixed, with a large part of users
being ambivalent or not knowledgeable.
• The pricing information provided by platforms seems to be clear but a third of
users think that the platform cut is too large.
• Younger users find the pricing information less clear than older users.
• The perceptions of platforms as greedy vary across countries: More users in
Spain, Portugal, and France find the platform cut too large compared with
Germany and Switzerland.
• There is a small North-South divide in pricing fairness perceptions. Users in the
South, particularly in Italy, Portugal, and Spain, find the pricing policy fairer
than those in Norway, France, Switzerland, and the Netherlands.
57. Power in the
Sharing Economy
Page 57
Platform Control in the
Sharing Economy
8Matching platforms enable flexible and
convenient access to under-used assets by
connecting providers and consumers. But how
do platforms ensure availability and
accessibility among providers?
58. Power in the
Sharing Economy
Page 58
Platform Control
Does the view of convenient flexibility reflect reality or do providers feel pressured to provide
more often than they would want to? Are providers able to determine their own schedule or
do they feel overly constrained by the platform? Do they think they have the option to reject
transactions and to determine themselves who to share with?
59. Power in the
Sharing Economy
Page 59
The Micro-Entrepreneur: Sharing Economy providers
want control over their own schedules.
30.4%
of providers feel*
pressured to provide
more often than they
would like.
50.3%
of providers think* there
should be no
consequences for
rejecting a transaction
63%
of providers determine
their own schedule*.
*Percentage of providers who selected “somewhat agree” or “strongly agree”
60. Power in the
Sharing Economy
Page 60
Italian providers feel the most pressured to provide
more often than they would like.
2.88
2.83
2.76
3.23
2.98
2.89
2.75
3.26
3.14
2.62
2.65
2.7
2.89
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
N = 556 Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree, 3-
neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Italian, Irish, and
Portuguese providers
feel the most pressured
to provide.
61. Power in the
Sharing Economy
Page 61
3.5
3.74 3.76
3.83
4.16
18-24 25-34 35-44 45-54 55-65
I determine my own schedule.
Younger providers have the least control over their
schedules. Older providers have the most control.
N = 556 Providers; Arithmetic means for each age-group are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree,
3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
62. Power in the
Sharing Economy
Page 62
2.84
2.51
3.4
Airbnb BlaBlaCar Uber
I feel pressured to provide more often than I would like.
Uber drivers feel the strongest pressure to provide
more often than they would like.
N = 316 Providers; Arithmetic means for each group are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree, 3-
neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Whereas BlaBlaCar and
Airbnb providers largely
do not feel pressured to
provide, Uber drivers
feel the pressure strongly.
63. Power in the
Sharing Economy
Page 63
European providers want control over the matching
process.
3.62
3.43
3.69
4.08
3.31
3.16
3.94
3.39
3.56
3.45
3.84
3.14
3.55
3.42
3.19
3.5
3.85
3.41
3
3.69
3.4
3.47
3.28
3.49
3.443.43
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
There should be no consequences for rejecting a transaction. I should not be restricted by the platform in choosing who to share with.
N = 556 Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree, 3-
neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Norwegian providers
want the least control
over the matching
process.
Portuguese providers
want the most control
over the matching
process.
64. Power in the
Sharing Economy
Page 64
Choice: Sharing Economy users want the ability to
choose who they share with.
44%
of providers think* they
should not be restricted
in choosing who to share
with.
59.5%
of consumers think* they
should be allowed to
choose a provider based
on their own criteria.
40.8%
of consumers feel* they
have control over the
matching process.
*Percentage of providers/consumers who selected “somewhat agree” or “strongly agree”
65. Power in the
Sharing Economy
Page 65
European consumers want a lot of control over
choosing their providers.
N = 1143 Consumers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree,
3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
3.56
3.7
3.65
3.53
3.79
3.59
3.55
3.76
3.77
3.79
3.71
3.81
3.68
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
Portuguese providers
want the least control
over selecting a provider.
Danish consumers
want the most control
over selecting a provider.
66. Power in the
Sharing Economy
Page 66
Key Insights on Platform Control
• Providers desire control over sharing transaction modalities and report high
flexibility.
• At the same time, many providers feel pressured to provide more often than they
would want to.
• Providers in Italy, Portugal, and Ireland feel most pressured. Providers in Germany
and France feel least pressured.
• Younger providers have less control over their schedule than older ones.
• Consumers in Denmark, Germany, and Poland want most control over choosing
their providers. Consumers in Portugal, the Netherlands, UK, and Norway have
lower levels of desired control.
67. Power in the
Sharing Economy
Page 67
Collective Action in the
Sharing Economy9An important discussion when it comes to
labor and the sharing economy revolves
around collective action
68. Power in the
Sharing Economy
Page 68
Collective Action
Decentralization and hierarchization among users acts as a significant barrier to group
identification and subsequent collective action. Are providers organizing and speaking
collectively to have their interests represented?
69. Power in the
Sharing Economy
Page 69
Online Communities: Sharing Economy
35%
of providers use online
communities to connect
with other providers*.
30.9%
of female providers use
online communities to
connect with other
providers*.
35.5%
of male providers use
online communities to
connect with other
providers*.
*Percentage of providers who selected “somewhat agree” or “strongly agree”
70. Power in the
Sharing Economy
Page 70
Use of online communities among providers varies
strongly by country.
3.19
2.98
3.2
3.46
3.41
3.19
2.44
3.04
3.33
2.622.63
2.82
3.03
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
N = 556 Providers; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly disagree, 2-somewhat disagree, 3-
neither agree nor disagree, 4-somewhat agree, 5-strongly agree
Dutch, French, and
German providers
score lowest for use of
online communities.
Portuguese and Polish
providers score highest
for use of online
communities.
71. Power in the
Sharing Economy
Page 71
Some examples of provider communal action.
50%
50%
of Uber drivers use
online communities to
connect with other
providers*.
32%
32%
of Airbnb hosts use
online communities to
connect with other
providers*. 25.5%
of BlaBlaCar drivers use
online communities to
connect with other
providers*.
25.5%
*Percentage of providers who selected “somewhat agree” or “strongly agree”
72. Power in the
Sharing Economy
Page 72
Non-Users support provider unionization more than
users.
N = 5517 Consumers, Providers and Aware Non-Users; Arithmetic means for each group are displayed. 1-5 scale with 1-strongly
disagree, 2-somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
3.00 2.98
3.08
Providers Consumers Aware Non-Users
Differences in perception
between respondent group
are, however, slight.
73. Power in the
Sharing Economy
Page 73
Dutch respondents oppose unionization most strongly;
British respondents are most supportive.
N = 5517 Consumers, Providers and Aware Non-Users; Arithmetic means for each country are displayed. 1-5 scale with 1-strongly
disagree, 2-somewhat disagree, 3-neither agree nor disagree, 4-somewhat agree, 5-strongly agree
3.21
2.99
3.17
3
3.11
3.15
2.75
3.01
3.07
2.91
3.07
3.16
3.05
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
74. Power in the
Sharing Economy
Page 74
Key Insights on Collective Action
• More than a third of all providers in the survey report using online
communities to connect with other providers.
• The use of online communities is more prevalent among male providers than
female providers.
• Uber drivers use online communities to a larger extent than Airbnb hosts and
BlaBlaCar drivers.
• Support for unionization of providers is stronger among non-users than among
providers and consumers.
• Support for unionization of providers is strongest in the UK and weakest in the
Netherlands.
75. Power in the
Sharing Economy
Page 75
Narratives of the
Sharing Economy10The initial framing of issues in the media has
created path dependencies for discussing
platform narratives
76. Power in the
Sharing Economy
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Narratives of the Sharing Economy
How do respondents perceive sharing economy platforms in terms of their primary function
and mission? Do they see them as mere intermediaries between provider and consumers?
77. Power in the
Sharing Economy
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Providers have the highest perception of themselves as employees.
Non-users have the lowest perception of providers as employees.
40.65
36.05
34
59.35
63.95
66
Providers
Consumers
Aware Non-
Users
As employees who work directly for the platform. As independent contractors who use the platform to connect to potential customers.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each item are displayed.
78. Power in the
Sharing Economy
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Norwegians have strongest perceptions of providers as employees;
The Dutch have the weakest perceptions of providers as
employees.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each item are displayed.
39.937.4
31.633.7
39.541.5
22.4
35.232.530.4
36.939.8
35.07
60.162.6
68.466.3
60.558.5
77.6
64.867.569.6
63.160.2
64.93
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
As employees who work directly for the platform. As independent contractors who use the platform to connect to potential customers.
79. Power in the
Sharing Economy
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Providers have the highest perceptions of ride-hailing
platforms as primarily software companies.
48.90
36.40
30.60
51.10
63.60
69.40
Providers Consumers Aware Non-Users
They are primarily software companies. They are primarily transportation companies.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each country are displayed. Respondents were asked
“Which statement best describes your view of ride-hailing platforms like Uber?”
“.
80. Power in the
Sharing Economy
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Polish and Italian respondents have the highest perceptions of
ride-hailing platforms as primarily software companies.
26.9
32.1
37.7
25.5
48.6
28.7
41.5
45.5
30.8
39.4
25.822.3
33.73
73.1
67.9
62.3
74.5
51.4
71.3
58.5
54.5
69.2
60.6
74.277.7
66.27
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
They are primarily software companies. They are primarily transportation companies.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each country are displayed. Respondents were asked
“Which statement best describes your view of ride-hailing platforms like Uber?”
“.
81. Power in the
Sharing Economy
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Men have the highest perceptions of ride-hailing
platforms as primarily software companies.
29.8
37.4
70.2
62.6
Female Male
They are primarily software companies. They are primarily transportation companies.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each group are displayed. Respondents were asked “Which
statement best describes your view of ride-hailing platforms like Uber?”
“.
82. Power in the
Sharing Economy
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Providers have the highest perceptions of view home-
sharing platforms as primarily software companies.
49.60
36.50 32.40
50.40
63.50 67.70
Providers Consumers Aware Non-Users
They are primarily software companies. They are primarily hospitality companies.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each group are displayed. Respondents were asked “Which
statement best describes your view of home-sharing platforms like Airbnb?”.
83. Power in the
Sharing Economy
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Polish respondents have the highest perceptions of home-
sharing platforms as primarily software companies.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each country are displayed. Respondents were asked
“Which statement best describes your view of home-sharing platforms like Airbnb?”.
26.9
35.6
40.1
30.2
50.1
37.138.740.3
28.1
37.8
26
30
35.08
73.1
64.4
59.9
69.8
49.9
62.961.359.7
71.9
62.2
74
70
64.02
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
They are primarily software companies. They are primarily hospitality companies.
84. Power in the
Sharing Economy
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Men have the highest perceptions of home-sharing
platforms as primarily software companies.
30.1
39.8
69.9
60.2
Female Male
They are primarily software companies. They are primarily hospitality companies.
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each group are displayed. Respondents were asked “Which
statement best describes your view of home-sharing platforms like Airbnb?”.
85. Power in the
Sharing Economy
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Key Insights on Narratives
• A two third majority sees providers as independent contractors.
• The proportion of providers who see themselves as employees – rather than
indpendent contractors – is higher than the proportion of consumers and
aware non-users who see providers as employees.
• Respondents in Norway, the UK, and Denmark see providers more as
employees than respondents in other countries.
• A one third minority sees ride-hailing and home-sharing platforms as software
companies, a two third majority as transport and hospitality companies.
86. Power in the
Sharing Economy
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Regulating the
Sharing Economy11A lack of clarity over service legality leaves
users vulnerable
87. Power in the
Sharing Economy
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Regulating the Sharing Economy
The novel nature of sharing economy platforms, in addition to their frequently trans-national
nature, has created a scattered regulatory backdrop against which companies have been
able to expand with varied levels of resistance and compliance.
88. Power in the
Sharing Economy
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Three quarters of Europeans think that sharing economy companies
should follow the same rules and regulations as established companies.
85
73.574.374.573.2
68.667.268.8
79.8
72.67574.373.9
15
26.525.725.526.8
31.432.831.2
20.2
27.42525.726.1
UKSwitzerlandSpainPortugalPolandNorwayNetherlandsItalyIrelandGermanyFranceDenmarkCross-Country
Average
These services should not be required to follow the same rules and regulations as established companies
These services should be required to follow the same rules and regulations as established companies
N = 6111 Consumers, Providers, Aware Non-Users and Non-Aware Non-Users; Percentages for each item are displayed.
89. Power in the
Sharing Economy
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Providers are the most supportive of sharing platforms not following
the same rules and regulations as established companies.
65.10
70.20
76.80
70.50
34.90
29.80
23.20
29.50
Providers
Consumers
Aware Non-Users
Non Aware Non-Users
These services should be required to follow the same rules and regulations as established companies
These services should not be required to follow the same rules and regulations as established companies
N = 6111 Consumers, Providers, Aware Non-Users and Non-Aware Non-Users; Percentages for each item are displayed.
90. Power in the
Sharing Economy
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Younger Europeans are more supportive of platforms not
following the same rules and regulations than older Europeans.
69.4
70.4
74.5
75.7
77.3
30.6
29.6
25.5
24.3
22.7
18-24
25-34
35-44
45-54
55-65
These services should be required to follow the same rules and regulations as established companies
These services should not be required to follow the same rules and regulations as established companies
N = 6111 Consumers, Providers, Aware Non-Users and Non-Aware Non-Users; Percentages for each item are displayed.
91. Power in the
Sharing Economy
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Uber users are more supportive of platforms following the
same rules and regulations as established companies.
64
61.6
75.6
36
38.4
24.4
Airbnb
BlaBlaCar
Uber
These services should be required to follow the same rules and regulations as established companies
These services should not be required to follow the same rules and regulations as established companies
N = 1253 Consumers and Providers; Percentages for each item are displayed.
92. Power in the
Sharing Economy
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Respondents prefer moderate regulation of the sharing economy.
Only a small minority wants no regulation at all or a complete ban.
4.9
4.0
6.6
8.3
28.5
17.8
11.5
8.9
4.4
5.0
0-10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100
Complete BanNo Regulation at all
N = 5517 Consumers, Providers and Aware Non-Users; Percentages for each country are displayed. Respondents were asked “How
much regulation should there be towards the sharing economy? 0 means no regulation at all and 100 means a complete ban.”
93. Power in the
Sharing Economy
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Aware Non-Users want most regulation and
Consumers want the least regulation.
48.81 48.68
54.1
50.4
Provider Consumer Aware Non-User Non-Aware Non-User
N = 6111 Consumers, Providers, Aware Non-Users and Non-Aware Non-Users; Percentages for each item are displayed.
Respondents were asked “How much regulation should there be towards the sharing economy? 0 means no regulation at all and
100 means a complete ban.”
94. Power in the
Sharing Economy
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Uber users want most regulation and BlaBlaCar users
want the least regulation.
47.83
45
51.24
Airbnb BlaBlaCar Uber
N = 1253 Consumers and Providers; Percentages for each item are displayed. Respondents were asked “How much regulation
should there be towards the sharing economy? 0 means no regulation at all and 100 means a complete ban”.
95. Power in the
Sharing Economy
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Key Insights on Regulation
• Three quarters of respondents think that sharing platforms should follow the
same rules and regulations as established companies.
• Respondents opt for a middle ground in regulation, between laissez-faire and a
complete ban.
• Uber drivers are more in favor of equal treatment of sharing platforms and
established companies than BlaBlaCar drivers and Airbnb hosts.
• Aware non-users want most regulation, consumers want the least.
• Younger respondents are more supportive of special rules and regulations for
the sharing economy compared with older respondents.
97. Power in the
Sharing Economy
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Summary of Results
Consumers report better
interpersonal treatment than
providers and equal levels of
emotional labor. They also
perceive the rating/review
system more favourably.
Providers assign more
responsibility to themselves and
to platforms for solving
problems. Consumers see more
shared responsibility between
providers and platforms.
Consumers want the least
regulation of sharing economy
companies of all respondents,
In some regards, especially with
regards to peer-to-peer aspects,
there is a North-South
difference, with southern
European countries reporting
higher levels of emotional labor
and interpersonal treatment.
Dutch users support unionization
the least among all countries.
They also have the weakest
conceptualization of providers
as employees.
Norwegian users view the
pricing policies and
rating/review systems as the
least fair.
Uber drivers feel the most
pressure to provide more often
than they would like to.
Uber’s terms and conditions are
also assessed as being worse than
those of Airbnb and BlaBlaCar.
Uber drivers see themselves
more as employees than Airbnb
hosts and BlaBlaCar drivers. They
use online communities most and
desire most regulation.
Providers and Consumers
report different power-related
attitudes and behaviors.
There are pronounced
country differences
in power aspects.
Platforms partly differ in how
they are perceived in terms of
power aspects.
98. Power in the
Sharing Economy
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thank you for
your consideration
Ps2Share – Power, Privacy and Participation in the
Sharing Economy Consortium
ps2share.eu