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Gartner's hype cycle and information system research issues

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  • O'Leary, Daniel E.

Abstract

This paper uses Gartner Group's hype cycle as a basis to analyze research issues and opportunities in information systems. The findings including, “where” we find a technology in the hype cycle can influence the kinds of research questions we can ask, the information available about that technology and the research methods that can be employed on the technology at that stage.

Suggested Citation

  • O'Leary, Daniel E., 2008. "Gartner's hype cycle and information system research issues," International Journal of Accounting Information Systems, Elsevier, vol. 9(4), pages 240-252.
    • Handle: RePEc:eee:ijoais:v:9:y:2008:i:4:p:240-252
    DOI: 10.1016/j.accinf.2008.09.001
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    Cited by:

    1. Alles, Michael, 2018. "Examining the role of the AIS research literature using the natural experiment of the 2018 JIS conference on cloud computing," International Journal of Accounting Information Systems, Elsevier, vol. 31(C), pages 58-74.
    2. Gatchev, Vladimir A. & Pirinsky, Christo A. & Venugopal, Buvaneshwaran, 2022. "A language-based approach to measuring creative exploration," Research Policy, Elsevier, vol. 51(1).
    3. Sutton, Steve G. & Holt, Matthew & Arnold, Vicky, 2016. "“The reports of my death are greatly exaggerated”—Artificial intelligence research in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 22(C), pages 60-73.
    4. Konchitchki, Yaniv & O'Leary, Daniel E., 2011. "Event study methodologies in information systems research," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 99-115.
    5. Gray, Glen L. & Chiu, Victoria & Liu, Qi & Li, Pei, 2014. "The expert systems life cycle in AIS research: What does it mean for future AIS research?," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 423-451.

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