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Motivators and Inhibitors for Business Analytics Adoption from the Cross-Cultural Perspectives: A Data Mining Approach

Author

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  • Hokey Min

    (Bowling Green State University)

  • Bih-Ru Lea

    (Missouri University of Science and Technology)

Abstract

In the increasingly knowledge-based world economy, the multinational firm’s success often hinges on its business intelligence capability nurtured by business analytics (BA). Despite the growing recognition of BA's role in enhancing the firm’s intellectual capital and subsequent competitiveness, it is still unknown what truly motivates and inhibits BA adoption. This study aims to identify key influencing factors for BA adoption such as organizational characteristics, information security/privacy, and information technology maturity (knowledge level). In so doing, this study employed data mining and data visualization techniques to develop specific patterns of BA adoption practices based on a combined sample of 224 Korean firms and 106 U.S. firms representing various industry sectors. This study is one of the first attempts to develop practical guidelines for the successful implementation of BA based on the cross-national study of BA practices among both Korean and U.S. firms.

Suggested Citation

  • Hokey Min & Bih-Ru Lea, 2024. "Motivators and Inhibitors for Business Analytics Adoption from the Cross-Cultural Perspectives: A Data Mining Approach," Information Systems Frontiers, Springer, vol. 26(3), pages 1041-1062, June.
    • Handle: RePEc:spr:infosf:v:26:y:2024:i:3:d:10.1007_s10796-023-10399-1
    DOI: 10.1007/s10796-023-10399-1
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