How to Leverage the Power of Feedback and the Law of Participation | Enterprise 2.0 Summit in Frankfürt Nov. 09
1. How-to Leverage the Power of Feedback
and the Law of Participation
Julien Le Nestour
@jnestour | coreedges.com
Enterprise 2.0 Summit | Frankfürt - Nov 09
2. “The evidence is mounting that corporate
prediction markets work as advertised, delivering
quick, accurate, and decisive predictions in areas
of great interest.
So are there any good reasons left for not using
them, or at least experimenting with them?
I ask seriously: why would any enlightened
company not avail itself of this technology?”
—Andrew McAfee
SOURCE: http://andrewmcafee.org/2009/07/mobs-rule/
3. “The evidence is mounting that corporate
prediction markets work as advertised, delivering
quick, accurate, and decisive predictions in areas
of great interest.
So are there any good reasons left for not using
them, or at least experimenting with them?
I ask seriously: why would any enlightened
company not avail itself of this technology?”
—Andrew McAfee
SOURCE: http://andrewmcafee.org/2009/07/mobs-rule/
5. E2.0 tools: powering interactions
Real Challenge:
How to achieve
E2.0 tools: hyper-efficient Adoption”?
“Enterprise as interaction enablers
E2.0 tools: enable network (or combinatorial,
➡
etc.) effects
End-users use them
➡
E2.0 tools: IT deploys them
enable increasing returns of scale
➡ Executives support them
17. “The Physical Effect on the
Individual of the Idea of Death
suggested by the Collectivity.”
—Marcel Mauss (1926)
18. 3. Smart, rational actors
StakeHolders = Actors who:
➡ are their ultimate decision-makers
➡ have goals and enjoyable actions
➡ use all leverage possible to achieve
these
19. Actors
➡ unbundle different types of employees
➡ actors’ perception, self-perception and
goals are strongly shaped by
organizational context
➡ actors are smart, rational, and make
their own decisions
20. Adoption?
➡ Simple: when it satisfies own goals at
an acceptable cost
➡ Explore all 3 actors using the concept
of “Return on Attention”
29. Predictor of Value
➡ evaluated at the individual, end-user
level
➡ optimizing the scarcest resource
➡ if ROA is good enough, will use tools
30. Defining ROA
➡ perceived return from a unit of time
spent using an application
➡ Return =
information, authority, etc. minus
opportunity cost, monetary cost if any,
etc.
31. Characteristics of ROA
➡ impacted by every “non-nil” factors
➡ as weak as the weakest link in the chain
➡ subjective and situated
32. Criteria Examples
➡ Priority versus other
➡ Application Usability activities?
➡ Training required? ➡ Need to change
➡ RSS feeds/alerts? established workflows?
➡ Mobile Interface? ➡ Perception from
➡ Hardware limitations? common organizational
culture?
33. ROA as predictor of adoption
➡ At individual level, but dependent on
organizational context (can emphasize dumbness)
➡ Understand finely anticipated ROA at individual
level
➡ If ROA>0 absolutely and relatively to other
activities/applications
➡ Predictor of value, hence of adoption
35. ROA as IT metric
➡ Use ROA as an aggregated set of criteria:
➡ Properties of application
➡ How these properties weave together with the
corporate fabric
➡ ROA: aggregates all the single trade-offs each
application incorporates
➡ From features to ROA for application comparison
➡ Now, what is the impact of a tool?
38. Ex. of criteria for Typology
Criteria Definition
Applications or Activities are
Corporate Specificity
unique to company?
Transformational, Transactional,
Nature of Work
Tacit
Knowledge Manipulation /
Nature of Knowledge Work
Decision-Making
“Every knowledge worker in a modern
organization is an “executive” if, by virtue of his
position or knowledge, he is responsible for a
Drucker’s executive scale contribution that materially affects the capacity
of the organization to perform and to obtain
results.”
SOURCE: McKinsey Quarterly; The Effective Executive - Peter Drucker
39. ROA as component
X X $$$
ROA Population Relative Value
Subset per positions
40. ROA as component
X X $$$ X !
ROA Population Relative Value Frequency of
Subset per positions activity,
weighted by
criticality
41. ROA as component
X X $$$ X !
ROA Population Relative Value Frequency of
Subset per positions activity,
weighted by
criticality
Weighted ROA = anticipated effect
on Business KPI
42. Weighted ROA: portfolio management
➡ Weighted ROA enables comparison between
different IT projects: automation, CRM, social
enterprise computing
➡ Enables IT Portfolio management to both invest
and arbitrate between projects
43. How should IT use ROA?
➡ Develop expertise in anticipating ROA for different
types of positions
➡ Develop expertise in approximating weighted ROA
➡ Improve ROA of existing applications/processes
➡ Number of strategies: consumer apps, internal
SAAS, etc.
➡ Manage portfolio agnostically with ROA as key
metric (NOT ROI)
46. Interest of weighted ROA for executives
➡ Make concrete what hitherto unknown
➡ Incorporate and mitigate the risks (decision-
making)
➡ Fully participate in IT decision-making
47. ROA: congruence tools + organization
➡ Understand ROA comes from congruence of tools
and organizational context
➡ ROA is situated: Focus on bounded use cases,
processes of high value: prioritization
48. Re-engineer organization
➡ Re-engineer organization to extract full value from
E2.0 technologies
➡ Institutional Innovation
➡ Redefine business metrics, based on new
organizational modes and tools
➡ In parallel with E2.0 technologies introduction
49. Ex.: Supplier Prediction Market
➡ Emile Servan-Schreiber (Newsfuture)
➡ Ex. of Boeing dreamliner
➡ PMs threaten established internal org
➡ PMs threaten supplier-customer relationship
➡ Institutional innovation: PM run by neutral 3rd-
party, confidentially at supplier, with aggregate
results and metrics provided to customer (ex. delay of
more than 6 months)
50. How-to Leverage the Power of Feedback
and the Law of Participation?
➡ Depends on each organization
➡ Need to take a holistic view: quality of technology,
but mainly organizational context
➡ Patterns exist: E2.0 industry is not making it simple
to identify and use them
➡ Consultants: also look outside of E2.0 world,
towards incredible companies, to look for innovative
organizational context, not tools