The Impact of Gartner’s Maturity Curve, Adoption Curve, Strategic Technologies on Information Systems Research, with Applications to Artificial Intelligence, ERP, BPM and RFID

33 Pages Posted: 19 Sep 2010

See all articles by Daniel E. O'Leary

Daniel E. O'Leary

University of Southern California - Marshall School of Business; University of Southern California - Leventhal School of Accounting

Date Written: September 17, 2010

Abstract

How does technology maturity and adoption affect samples, research issues and use of methodologies in information systems? What is a source of some research issues in strategic and emerging technologies? This paper addresses these questions and others using some frameworks generated by a well-known corporate research group.

Gartner Group has been an icon to their corporate clients. However, Gartner has received only limited attention by academics. This paper examines three related frameworks used by Gartner for their usage in analyzing information systems (IS) and accounting information systems (AIS) research. Although researchers have previously examined the adoption curve, they generally have ignored the impact of the technology maturity curve and the interaction of the two curves. The paper generates a number of findings, including, where a technology is on the maturity curve limits and facilitates the type of research questions that can be addressed regarding that technology. In addition, Gartner’s “strategic technologies” can provide a basis for understanding which technologies are likely to be appropriate for analysis by researchers.

Keywords: Gartner, Maturity Curve, Adoption Curve, Strategic Technologies, AIS Research, Information Systems Research, Artificial Intelligence, Enterprise Resource Planning (ERP) Systems, Business Process Management (BPM), Radio Frequency Identification (RFID)

Suggested Citation

O'Leary, Daniel E., The Impact of Gartner’s Maturity Curve, Adoption Curve, Strategic Technologies on Information Systems Research, with Applications to Artificial Intelligence, ERP, BPM and RFID (September 17, 2010). Marshall School of Business Working Paper No. ACC 3-11, Available at SSRN: https://ssrn.com/abstract=1678827 or http://dx.doi.org/10.2139/ssrn.1678827

Daniel E. O'Leary (Contact Author)

University of Southern California - Marshall School of Business ( email )

701 Exposition Blvd
Los Angeles, CA California 90089
United States

University of Southern California - Leventhal School of Accounting ( email )

Los Angeles, CA 90089-0441
United States

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