Strategic directions for AI: The role of cios and boards of directors

Jingyu Li, Mengxiang Li, Xincheng Wang, Jason Bennett Thatcher

    Research output: Contribution to journalJournal articlepeer-review

    71 Citations (Scopus)

    Abstract

    This paper applies upper echelons theory to investigate whether chief information officers (CIOs) and boards of directors affect the development of AI orientation, which represents firms’ overall strategic direction and goals regarding the introduction and application of artificial intelligence (AI) technology. We tested our model using a dataset drawn from 1,454 publicly listed firms in China. Our findings show that the presence of a CIO positively influences AI orientation and that board educational diversity, R&D experience, and AI experience positively moderate the CIO’s effect on AI orientation. Our post hoc analysis further demonstrates that these board characteristics represent contingencies that impact AI orientation but not conventional IT orientation. This paper contributes to the upper echelons literature and IT management research by offering contextualized arguments that explain new business and IT strategies such as AI orientation. Further, our findings suggest important implications about how to build top management teams and boards capable of effectively developing AI orientations.

    Original languageEnglish
    Pages (from-to)1603-1643
    Number of pages41
    JournalMIS Quarterly
    Volume45
    Issue number3
    Publication statusPublished - Sept 2021

    Scopus Subject Areas

    • Management Information Systems
    • Information Systems
    • Computer Science Applications
    • Information Systems and Management

    User-Defined Keywords

    • AI orientation
    • Board diversity
    • Board of directors
    • Chief information officer (CIO)
    • Public firms
    • Upper echelons theory

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