Is the latest IT innovation the Next Big Thing — or just the Next Big Sell? Understanding the dynamics that produce IT innovation waves can help executives make wise decisions about which innovations to adopt when.
The relentless advance of information technology today means that a key task of the business manager now is to cope with one wave of IT innovations after another. At any given time, an executive is likely to feel more or less inundated by a current wave, unsure of what all the commotion is about, unable to avoid the topic in conversation and yet suspicious that the latest “killer app” may be mostly hype. Is there a better way?
Drawing years of research as well as the research of others, this article asserts that the IT adoption cycle is a kind of wave machine that carries an innovation through five stages: (1) breaking the surface, (2) sending out ripples, (3) causing a squawk, (4) building the swell and (5) riding the crest. An important characteristic of IT innovations is that implementation is frequently costly, time-consuming and highly problematic.
One consequence is that the number of adoptions of an IT innovation — which are essentially commitments that organizations make to implement the new technology — may outstrip successful implementations, resulting in a worrisome “implementation gap” that calls for explanation and can serve to dampen enthusiasm for the innovation. The rate at which value is achieved by an IT innovation is likely to peak long after the community’s attention to the original organizing vision has dissipated.
Thus, managers need to distinguish carefully between the attention an IT innovation receives and actual adoption, implementation and value gained from its use. Understanding these dynamics more clearly can lead executives to make better decisions about which “waves” to catch and which to let roll by.
1 Comment On: The Manager’s Guide to IT Innovation Waves
It seems that the “wave” Dr. Swanson has caught is the Gartner Hype Cycle introduced in 1995. The Gartner Hype Cycle is used to illustrate and plan for the typical trajectory of a technology from when it is first triggered through when its expectations are inflated then deflated, to when its market perception becomes more enlightened and its adoption more productive and mainstream, then toward its potential decline & supplanting. (Ref:http://www.gartner.com/technology/research/methodologies/hype-cycle.jsp) –Doug Laney, VP Research, Gartner, @doug_laney