Innovation is widely regarded as a critical factor to a company´s competitive edge and performance. Schumpeter (1934, 1939, 1942) pointed to technological competition (through innovation) as the driving force behind economic growth and innovation. Early technological innovators will be rewarded with profits, and imitators will soon “swarm” the industry or sector hoping to get their share of the benefits. This will in turn fuel new cycles of innovations. Both in the business world and in academics, the loosely defined term “innovation” is often substituted for creativity, change or knowledge.
Still, “Innovation” isn’t just the invention of a new process, product, technology or service. As Schumpeter point out, the concept of innovation is closely tied in with value added — an innovation doesn’t occur until someone successfully implements it and makes money from it.
New technology can offer enticing value propositions, but the return on investment on any given technology or innovation is notoriously difficult to pinpoint. In 1993, Erik Brynjolfsson popularized the “productivity paradox,” which noted the apparent contradiction between the remarkable advances in computer power, heavy IT-investments, and the relatively slow growth of productivity at the level of the whole economy, individual firms and many specific applications. The concept is sometimes referred to as the “Solow computer paradox” in reference to Robert Solow’s famous statement “You can see the computer age everywhere but in the productivity statistics.”
Since then, McAfee and Brynjolfsson (2008) have done extensive research, tracking performance data for all publicly traded US companies from 1960 to 2005, noting that a new competitive dynamic has emerged (2008, p. 100), because new technologies that enabled companies to improve operating models exponentially. In this view, the mere existence, or availability of new technologies is not a fundamental driver of change. Rather, technology and organization is seen as dynamically interacting; IT serving as a catalyst for innovative ideas and an engine for delivering them.
This notion of technology-enabled opportunities mirrors Leonard-Barton (1988), who argues that as technology is implemented, a process of mutual adaptation between the technology and the organization occurs where developers and users strive to wring productivity increases from the innovation. The diffusion of technology includes changes in organization as well as the technology itself, and the outcomes are not always predetermined.
Leonard-Barton proposed that implementation misalignments between technology and organization fit into three categories: Technical, delivery system, and value. Of special interest is the latter, which is a mismatch between technology and organization, where technology disrupts and reforms the organization in fairly unpredictable and situation-specific ways. The significance and impact on job performance criteria can work on different levels. The author mentions end-users, organization managers, business managers and corporate management. Discrepancies between these four “reward systems” may strongly affect the success of technology implementation.
This project will examine how value is created in the aforementioned interplay between organizational, technological and market forces, and specifically how misalignments between technology and organization may affect value.