26 HIGH-INVOLVEMENT INNOVATION
BOX 2.3 The CINet survey.
Whilst there are a number of detailed company-level studies of high-involvement innovation,
there is relatively little information about the ‘bigger picture’ (except in the well-reported case
of Japan (Imai 1987; Lillrank and Kano 1990; Schroeder and Robinson 1993; Imai 1997)).
How far has this approach diffused? Why do organizations choose to develop it? What
benefits do they receive? And what barriers prevent them moving further along the road
towards high involvement?
Questions like these provided the motivation for a large survey carried out in a number of
European countries and replicated in Australia during the late 1990s. It was one of the fruits
of a co-operative r esearch network which was established to share experiences and diffuse
good practice in the area of high involvement innovation (more information on this network
can be found at http://www.continuous-innovation.net/). The survey (the results of which are
described in full in Boer
et al
. (1999)) involved over 1000 organizations in a total of seven
countries and provides a useful map of the take-up and experience with high-involvement
innovation. (The survey only covered manufacturing, although follow-up work is looking at
services as well.) Some of the key findings were as follows.
Overall around 80% of organizations were aware of the concept and its relevance, but
its actual implementation, particularly in more developed forms (see Chapter 4), involved
around half of the firms.
The average number of years which firms had been working with high-involvement
innovation on a systematic basis was 3.8, supporting the view that this is not a ‘quick fix’
but something to be undertaken as a major strategic commitment. Indeed, those firms that
were classified as ‘CI innovators’—operating well-developed high-involvement systems—had
been working on this development for an average of nearly seven years.
High involvement is still something of a misnomer for many firms, with the bulk of efforts
concentrated on shop-floor activities as opposed to other parts of the organization. There is a
clear link between the level of maturity and development of high involvement here—the ‘CI
innovators’ group was much more likely to have spread the practices across the organization
as a whole. (Again this maps well on to the maturity model introduced in Chapter 4 and
described in detail in the second part of the book.)
Motives for making the journey down this road vary widely but cluster particularly around
the themes of quality improvement, cost reduction and productivity improvement. This supports
the view that high-involvement innovation is an ‘engine for innovation’ that can be hooked up
to different strategic targets (see Chapter 7), but it also underlines its main role as a source o f
‘doing what we do better’ innovation rather than the more radical ‘do different’ type.
In terms of the outcome of high-involvement innovation, there is clear evidence of significant
activity, with an average per capita rate of suggestions of 43/year, of which around half
were actually implemented. This is a difficult figure since it reflects differences in measurement
and definition, but it does support the view that there is significant potential in workforces
across a wide geographical range—it is not simply a Japanese phenomenon. Firms in
the sample also reported indirect benefits arising from this including improved morale and
motivation, and a more positive attitude towards change.
What these suggestions can do to improve performance is, of course, the critical question
and the evidence from the survey suggests that key strategic targets were being impacted
upon. On average, improvements of around 15% were reported in process areas like quality,
delivery, manufacturing lead time and overall productivity, and there was also an average