TRANSFORMATIONAL ISSUES OF BIG DATA AND ANALYTICS IN NETWORKED BUSINESS

• 成果类型: Article
• 署名作者: Baesens, Bart; Bapna, Ravi; Marsden, James R.; Vanthienen, Jan; Zhao, J. Leon
• 署名单位: KU Leuven; University of Minnesota System; University of Minnesota Twin Cities; University of Connecticut; KU Leuven; City University of Hong Kong
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2016/40:4.03
• 发表日期: 2016
• 页码: 807-818
• 关键词: risk-management; CHALLENGES

摘要

The era of big data and analytics is upon us and is changing the world dramatically. The field of Information Systems should be at the forefront of understanding and interpreting the impact of both technologies and management so as to lead the efforts of business research in the big data era. We need to prepare ourselves and our students for this changing world of business. In this discussion, we focus on exploring the technical and managerial issues of business transformation resulting from the insightful adoption and innovative applications of data sciences in business. We end by providing an overview of the papers included in this special issue and outline future research directions.