An empirical study of the rise of big data in business scholarship |
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| Institution: | 1. King Abdulaziz University, Faculty of Economics and Administration, Jeddah 21589, Saudi Arabia;2. HEC Montreal, Marketing Department 3000 Côte Sainte-Catherine, Montreal, QC H3T 2A7, Canada;1. State University of New York, New Paltz, United States;2. The City College of New York, City University of New York, United States;1. Instituto de Ingeniería de Alimentos para el Desarrollo, Departamento de Tecnología de Alimentos, Universidad Politécnica de Valencia, Camino de Vera, s/n, 46022 Valencia, Spain;2. Laboratorio de Estudios Métricos de Información (LEMI), Departamento de Bibliotecomía y Documentación, Universidad Carlos III, Avenida de la Universidad, 30, 28911 Leganes, Madrid, Spain;3. Instituo de Gestión de la Información y del Conocimiento (CSIC—Universidad Politécnica de Valencia), UISYS (Universidad de Valencia), Plaza Cisneros, 4, 46003 Valencia, Spain;1. School of Dance & Culture Item Factory Center, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Republic of Korea;2. Department of E-business, College of Business Administration, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Republic of Korea;3. Jindal School of Management, University of Texas at Dallas, Richardson, TX 75080, United States |
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| Abstract: | Big data has captured the interests of scholars across many disciplines over the last half a decade. Business scholars have increasingly turned their attention to the impact of this emerging phenomenon. Despite the rise in attention, our understanding of what big data is and what it means for organizations and institutional actors remains uncertain. In this study, we conduct a systematic review on “big data” across business scholarship over the past six years (2009–2014). We analyzed 219 peer-reviewed academic papers from 152 journals from the most comprehensive business literature database. We conducted the systematic review both quantitatively and qualitatively using the data analysis software NVivo10. Our results reveal several key insights about the scholarly investigation of big data, including its top benefits and challenges. Overall, we found that big data remains a fragmented, early-stage domain of research in terms of theoretical grounding, methodological diversity and empirically oriented work. These challenges serve to improve our understanding of the state of big data in contemporary research, and to further prompt scholars and decision-makers to advance future research in the most productive manner. |
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| Keywords: | Big data Systematic review Data practices Disruptive innovation |
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