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Abstract
Despite the publicity regarding big data and analytics (BDA), the success rate of these projects and strategic value created from them are unclear. Most literature on BDA focuses on how it can be used to enhance tactical organizational capabilities, but very few studies examine its impact on organizational value. Further, we see limited framing of how BDA can create strategic value for the organization. After all, the ultimate success of any BDA project lies in realizing strategic business value, which gives firms a competitive advantage. In this study, we describe the value proposition of BDA by delineating its components. We offer a framing of BDA value by extending existing frameworks of information technology value, then illustrate the framework through BDA applications in practice. The framework is then discussed in terms of its ability to study constructs and relationships that focus on BDA value creation and realization. We also present a problem-oriented view of the framework—where problems in BDA components can give rise to targeted research questions and areas for future study. The framing in this study could help develop a significant research agenda for BDA that can better target research and practice based on effective use of data resources.
Notes
2. A 2017 survey by McKinsey, also emphasized the importance of leadership and culture. See https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/fueling-growth-through-data-monetization.
4. https://www.dezyre.com/article/how-big-data-analysis-helped-increase-walmarts-sales-turnover/109.
7. A recent survey on “Big Data Trends for 2017” by Tableau, indicates that data variety, not volume or velocity presents the biggest challenge and is the new frontier for BDA value. See https://www.scribd.com/document/339346218/Whitepaper-Top-10-Big-Data-Trends-2017.
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Notes on contributors
Varun Grover
Varun Grover ([email protected]) is the David D. Glass Endowed Chair and Distinguished Professor of Information Systems at the Walton School of Business, University of Arkansas. His work focuses on the impacts of digitalization on individuals and organizations. He has published extensively in the information systems (IS) field, with over 400 publications, 220 of which are in major refereed journals. He was recognized as one of 100 Highly Cited Scholars in Business by Thompson Reuters (2013). He has been a senior or associate editor of several major IS journals, a recipient of numerous awards for his research and teaching, and is a Fellow of the Association for Information Systems. He has been invited to give numerous keynote addresses and talks at various institutions and forums around the world.
Roger H.L. Chiang
Roger Chiang ([email protected]) is a professor of information systems (IS) at the University of Cincinnati. He received his Ph.D. in computers and information systems from the University of Rochester. His research interests are in business intelligence and analytics, data and knowledge management, and intelligent systems. He has served as the senior or associate editor of numerous IS journals. He has published over 50 refereed articles in journals and conference proceedings, including ACM Transactions on Database Systems, ACM Transactions on Management Information Systems, Communications of the ACM, Journal of Management Information Systems, Marketing Science, MIS Quarterly, and others.
Ting-Peng Liang
Ting-Peng Liang ([email protected]; corresponding author) is a Life-time National Chair Professor at National Sun Yat-Sen University in Taiwan and Fellow, Leo Awardee and president-elect of the Association for Information Systems. He received his Ph.D. degree from the Wharton School of the University of Pennsylvania and has taught at the University of Illinois, Purdue University, Chinese University of Hong Kong and City University of Hong Kong. His research interests include electronic commerce, intelligent decision support systems, and strategic applications of information technologies. He has published extensively in Journal of Management Information Systems, MIS Quarterly, Management Science, Operations Research, International Journal of Electronic Commerce, and others. He is the editor in chief of the Pacific Asia Journal of AIS and has served on the editorial board of many other journals.
Dongsong Zhang
Dongsong Zhang ([email protected]; corresponding author) is a professor in the Department of Information Systems at the University of Maryland, Baltimore County and guest chair professor at the International Business School, Jinan University, China. He received his Ph.D. in management information systems from the University of Arizona. His research interests include social computing, mobile human–computer interaction, data analytics, health information technologies, and online communities. He has published over 140 papers in journals and conference proceedings, including Journal of Management Information Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, and MIS Quarterly, etc. His research has been funded by the U.S. National Science Foundation, U.S. National Institutes of Health, U.S. Department of Education, National Natural Science Foundation of China, Chinese Academy of Sciences, and Google, Inc.