Diffusion of Innovation by Aviroop Banik

Empresariales

CREATIVITY INNOVATION DIFFUSED in the society Difference between Creativity & Innovation

Droplet of Innovation Water as a Social system Ripple effect of innovation innovation

We love to Diffuse the Innovation Guys! We would explain you what is DoI theory , just enjoy

He was looking out for some hand signs to cheer his football team

Cloud Computing Organisational example of DoI Theory

and a premium version with a 25 GB storage space,for which it charges $50 per user per year. Google offers 2 versions a standard version (which is lighter, offers less email space and does not guarantee service levels)

Cloud computing & Google Apps Early Adopters are SME’s Early Majority are all healthcare, IT firms etc Late Majority are Telcos, banks and government institutions Laggards are all Individuals like us

Guys, now its time to Diffuse our Innovation …

We are made to THINK many times before lying on the operation bed. WHY???? Only because we are going for a HIGH INVOLVEMENT SERVICE (H.I.S) PURCHASE.

Things go with a high involvement service (H.I.S) purchase. 1.Where to get it done? 2.Ask about doctor’s reputation. 3.Needs a lot of knowledge and education for a high involvement purchase. 4. The web sites and advertisements have to be lengthy and explanatory. .

Customer Delight Not Customer Satisfaction, but... Contributed by Amod Kankekar-06

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Biotechnology Industry in India (2011), a graphical snapshot

Background: A new buzzword “STEM CELL BANKING” is slowly but continuously engulfing the consumers’ attention in India. In India, the industry put-together has banked about >70,000 cord blood units over the last three years. This number is set to increase substantially with increased market reach and awareness; increase in regulatory approvals for stem cells based products and lowered resistance to private banking will together encourage more clients to choose stem cell banking. Problem: Like every new innovation which comes to the market faces strong resistance from consumer side, Stem cell banking is also facing heat of resistance from Indian consumers. Many companies (both domestic and international) have started umbilical cord stem cell banking business, but they have not yet successful towards lowering consumer resistance towards this service. This banking service is only limited to attract financially robust consumers (but still, not everyone is enrolling).The other lower sections still need to be tapped to generate more revenues. Purpose: The purpose of this study is to identify and analyze the relationship between consumers' resistance and different factors from innovation and consumers' characteristics. Thereafter, important factors are identified that mainly affect/determine consumers' resistance to stem cell banking. Moreover, the inter-relationship (correlation) among the selected factors is found out, to know the affects of each factor on other factors. Method: A theoretical model has been proposed from the hypotheses; and Structural Equation Modeling has been applied, where results are estimated through Partial Least Square method using a sample of 100 respondents from Mumbai, B’lore, Gujarat, Tripura (by sending Equestionnaires and personal discussions). SmartPLS2.0 software has been used to estimate results along with SPSS 12.0. Conclusions: Four out of eight hypotheses have been supported by the empirical data, where H1 i.e. relative advantage, H3 i.e. complexity, and H4 i.e. perceived risk, are from innovation characteristics, while H6 i.e. motivation, is from consumers' characteristics. Motivation, Complexity, Relative Advantage, and Perceived Risk are found as important factors that affect/determine consumers' resistance to stem cell banking. Relative Advantage & Motivation are found as positively correlated, and Perceived Risk & Complexity are found as positively correlated. Negative correlation has been found between Perceived Risk and Relative advantage. Similarly, negative correlation has also been found between motivation and complexity. The proposed model of consumers’ resistance to stem cell banking shows an acceptable goodness of fit, where 90% (R-square value) of variation in consumers’ resistance is caused/explained by the hypothesized factors

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