Unlocking big data success in the AI-driven era: Toward a unified theory for intelligent decision support

Abstract

Upon a grounded theory-based literature review of 220 articles published in the AIS “Senior Scholars' Basket of Journals” over the period of twenty years of 2000–2020, this study examines concepts, constructs, topics, methodologies, and research models/paradigms of Big Data literature in the information systems (IS) discipline. We extend the well-established IS success model into the Big Data area, synthesize theoretical perspectives and empirical findings of literature, identify critical success factors and interrelationships, and develop a unified Big Data success theory in the organizational context. Building upon the literature review, we propose a set of research agendas and articulate opportunities and challenges of the evolving Big Data literature. The paper concludes with research implications, contributions, and limitations of the study in the ever-emerging AI-Driven era.