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

Hokey Min () and Bih-Ru Lea ()
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Hokey Min: Bowling Green State University
Bih-Ru Lea: Missouri University of Science and Technology

Information Systems Frontiers, 2024, vol. 26, issue 3, No 11, 1062 pages

Abstract: 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.

Keywords: Business analytics; Business intelligence; Data mining; Data visualization; Cross-cultural study (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10796-023-10399-1

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