Plan Estatal 2013-2016 Retos (From: 01-01-2014 To: 31-12-2016)
Summary:
Open Innovation is an emergent paradigm by which organizations make
use of their internal and external resources to perform their
innovation processes. The growth of information and communication
technologies has facilitated the spread of online open innovation
communities and ideas contests, allowing a more direct contact with
customers and users. The purpose of this proposal is to analyze the
behavior of online community members and improve the efficiency of
these communities with a double aim. First, to demonstrate the
existence of a reduced group of users responsible of the majority of
contributions. This fact is in line with the phenomenon of
participation inequality typical of online communities. More
specifically, to determine to what extent this reduced core of the
community can be defined in terms of reputation and popularity.
Second, to assess the evaluation schemes based on collective
intelligence considering their ability to detect those users sharing
ideas potentially applicable by the organization. That is, to what
extent they can identify the so called 'lead users'.
Typically, open innovation communities offers several complementary
types of participation: sharing ideas, commenting ideas previously
shared, or evaluating ideas. One of the main challenges of these
communities is that they generate hundreds or even thousands of
ideas in a short period of time, which far exceed the evaluation
resources and the absorptive capacity of organizations. That is the
reason why collective evaluation procedures are introduced. In this
scheme, Community members are the ones who assess shared ideas,
highlighting the best or the worst ideas. The main problem of this
solution is that although information about users' preferences are
collected, they can also promote non affordable ideas, ideas with a
prohibitive cost or ideas that are not aligned with the strategic
innovation policies of the organization. The lead user theory from
Von Hippel posits the existence of lead users characterized because
they can foresee innovations much earlier than the rest of users,
sharing ideas that are finally adopted by the organization. This is
a quite relevant group of users for the organization and its early
detection constitutes a much more efficient alternative to the
collective evaluation schemes. As a result, the proposal is going to
measure how the collective evaluation schemes are or not appropriate
for the lead users identification and it will propose new
identification schemes for this group of users based on social
network analysis and computational intelligence techniques.
Findings in this proposal have important implications over those
organizations developing open innovation strategies and over
community managers. The proposal is going to provide a new
participation analysis methodology based on social networks that
will improve the management of these communities by focusing on the
lead users group. It will also provide a solution to the problem of
managing high volumes of information, so organization can
concentrate in those ideas potentially applicable.
Research group SEJ-548, Andalucia Research Programme, University of Seville, Spain
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