Measuring the Innovation Journey - From “Absolute” to “Relative” Diffusion Time and Leaps of Faith
Dear all – based on the
first set of case studies being gathered and evaluated for our conference
article (see https://open-european-innovation-network.blogspot.com/2020/04/online-cirpe-2020-8th-cirp-global-web.html) please see below
for a very first draft of the discussion section. Currently much too long to
the conference article, however a good foundation to condense from and at the
same time important material for the following journal article. Please remember
that the intent of the articles is to set a stake in ground regarding our applied
research approach via appropriate peer reviewed publications and permanent
references. The below draft is obviously only preliminary and there are a few
more case studies pending to be integrated, however the general pattern of
insights is becoming clearer. Very simply put – why do we continue to research
and invent without thinking of our later adopters and preparing for the funding
and resources needed to diffuse to them at pace (see https://open-european-innovation-network.blogspot.com/2020/05/a-first-comparative-view-of-actual.html)?
Comments welcome as usual! The image is from https://soulspring.org/have-the-courage-to-take-intuitive-leaps-of-faith and not sure if that leap is going to work out....
Section 6. Discussion
This section explores
the changes to the research method during the investigation, the changes to the
dependent variable of interest during the investigation, the validation of
maturity levels and insights de- und inducted from the results of a covariate
analysis performed on case study assessment results.
Changes to the
Research Method during the Investigation
The effort of the
authors initially focused on using the research method to explore the time
needed for an innovation to move from the inception of an idea (invention) to a
total relative market diffusion of 84%. During the course of investigation two
primary changes occurred in the research method in order to align with how
interviewees interpreted the roles in and the purpose of the generic diffusion
of innovation web (see https://open-european-innovation-network.blogspot.com/2020/01/the-narrative-for-generic-diffusion-of.html).
The first change was the redefinition of the generic roles of the generic
innovation diffusion web (see https://open-european-innovation-network.blogspot.com/2020/01/the-narrative-for-generic-diffusion-of.html) as follows: the role
of “user” became the role of “key user”, the role of “researcher” became the
role of “inventor”, the role of “thought leader” became the role of “super user”,
the role of “innovator” became the role of “product owner”, the role of “seller”
became the role of “business sponsor”, the role of “marketeer” became the role
of “influencer” and the role of “funder” became the role of investor. Furthermore,
the role of “moderator” was added. The second change was that the purpose of
the innovation diffusion web was redefined as its ability to achieve the intended
total relative market diffusion in the time “planned” by the business sponsor
for capturing the intended value of the venture. While these changes enabled interviewees
to more effectively describe and interpret the case studies, the changes did
not impact the narrative of the overall innovation journey and previous
research it is based upon.
Changes to the Dependent
Variable of Interest during the Investigation
The dependent
variable of interest thus evolved from an “absolute” measure for “Forecast Time
to Market Saturation” measured in time periods to a measure “relative” to the planned
time to value generation which is of primary interest to the Business Sponsor
and Investor. The question of “how long will the innovation journey take” to “will
the innovation journey complete to schedule” moved to the front of the case
study investigations. This evolution of focus furthermore led to the classification
of roles into two groups in those that were “core” to creating the idea itself
and were primarily aligned to TRLs (therefore the key user, the inventor, the product owner and the
business sponsor) and those roles whose contribution was the “acceleration” of
the diffusion journey as a whole (therefore investor, influencer, super user
and moderator). The closer the innovation journey is completed to schedule the
closer the progression of diffusion will be to a projected / planned ideal and
thus the lower any relevant risks and uncertainties related to time, cost or
quality. During this process a potential gap in the research method was
identified related to the lack of a diffusion forecasting model for the time
needed from ideation to a TRL level that enables launch of diffusion into the
first market adoption phases; while the generic diffusion of innovation model
suggests that such is embedded in the overall diffusion patterns it is unclear
whether the Bass Model applied for the forecasts also applied robustly enough
with the TRL evolution. Further investigation of this question is recommended.
The Validation of Maturity
Levels
The innovation journey
assessments were aligned to maturity levels and this alignment then reviewed with
interviewees in respect to the degree they align with their perceptions. In all
cases interviewees affirmed that the alignment was “good enough” for
understanding the degree to which their expectations of time to value generation
might be met. The simple nature of the assessment enabled conversations around relevant
actionable interventions.
Insights
A covariate analysis
of case study results was performed on all answers gathered through the case
studies in order to determine potential dependencies between variables. Due to
the low amount of data available the statistical uncertainty associated with
analysis results was considered to be high and thus the results of interviewee validations
weighted highly in order to arrive at a “good enough” approximation for
purposes of the research study and implementation recommendations for
interviewees. Key insights were:
1.
The lower the total diffusion time, the more likely it was that there
was a high overall maturity score of the accelerator roles in the population accompanied
by a high overall maturity score for the idea in respect to availability of budget
and resources, urgency of need, observability of impact and compatibility with
existing ways of work.
2.
In respect to the idea the degree of innovativeness, technical readiness
level, and degree of complexity did not appear to correlate significantly with
the total diffusion time.
3.
In respect to the population the individual maturity level of roles
correlated less to total diffusion time than the aggregated maturity of
accelerator roles.
4.
The more accurate the forecast of total diffusion time, the higher the subjective
confidence of interviewees in their answers.
The verification of
insights with interviewees resulted in two basic reaction patterns. Those
interviewees with deep industrial experience immediately agreed in the tenor of
one respondent who mentioned “It is not unusual to launch projects without
appropriate funding, resources or sponsorship and hope for the best. Most
efforts are leaps of faith since even the most robust plans will constantly
change. The key success element is having the that mixture of participants that
can handle the challenges of the changes that will occur”. For those
interviewees with primarily research or academic experience the overarching
importance of populating the accelerator roles and permitting an idea to evolve
as a collaborative effort were highly revealing since their primary focus was on
the process of invention versus diffusion of such; indeed as one interview
suggested “We had not realized the importance of funding and sponsorship at the
very beginning of research.” Ongoing discussions suggest that based on the case
study work both groups of interviewees appreciate the need for deeper
integration of the TRL process with the diffusion of adoption cycle.
P.S. If you are
interested in learning more please visit us at www.innovation-web.eu, our
LinkedIn Group at https://www.linkedin.com/groups/8779542/, our blog at
https://www.innovation-web.eu/entov-hvm-blog, our Researchgate project page at
https://www.researchgate.net/project/Open-European-Network-for-Enterprise-Innovation-in-High-Value-Manufacturing-ENTOV-HVM,
our Sourceforge page at https://sourceforge.net/projects/entov-hvm/ and our Facebook page at
https://www.facebook.com/groups/2014779865300180/. You can also follow us via
Twitter: @owschwabe (#innovationweb) and the LinkedIn Group page
https://www.linkedin.com/company/entov.
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