Intelligent agents as innovations

Authors:
Alexander Serenko;Brian Detlor
Affiliations:
McMaster University, Michael G. DeGroote School of Business, Hamilton, ON, Canada;McMaster University, Michael G. DeGroote School of Business, Hamilton, ON, Canada
Venue:
AI & Society
Year:
2004

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Abstract

This paper explores the treatment of intelligent agents as innovations. Past writings in the area of intelligent agents focus on the technical merits and internal workings of agent-based solutions. By adopting a perspective on agents from an innovations point of view, a new and novel description of agents is put forth in terms of their degrees of innovativeness, competitive implications, and perceived characteristics. To facilitate this description, a series of innovation-based theoretical models are utilized as a lens of analysis, namely Kleinschmidt and Cooper’s (J Prod Innovation Manage 8:240–251, 1991) market and technological newness map, Abernathy and Clark’s (Res Policy 14:3–22, 1985) competitive implications framework, and Moore and Benbasat’s (Inf Syst Res 2:192–222, 1991) list of perceived innovating characteristics. Together, these models provide a theoretical foundation by which to describe intelligent agents, yielding new insights and perceptions on this relatively new form of software application.