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This research explores extant research on artificial intelligence (AI) and big data published in the premier Information Systems (IS) journals over a period of 26 years (1997–2022), and it uses the techniques of citation analysis, bibliographic coupling, and co-word analysis. Citation analysis results reveal IS as the most cited reference discipline, followed by general business, organization science, and marketing. Two major topical clusters have been identified — problem domain-specific AI (e.g., predictive analytics, machine learning algorithms, and text mining) and organizational-specific AI (e.g., big data capabilities, firm performance, agility, and strategy). Co-word analysis revealed a gradual shift of scholarly interest from problem-domain-specific AI toward organizational-specific AI. Using the citation data, the most influential (cited) authors, (cited) articles, journals, institutions, and countries are identified. Gaps in extant research and future research paths are discussed.
Dwivedi et al. (Fri,) studied this question.