Introduction to the Special Issue on Perspectives onBig Data

• 成果类型: Editorial Material
• 署名作者: Singhal, Kalyan; Feng, Qi; Ganeshan, Ram; Sanders, Nada R.; Shanthikumar, J. George
• 署名单位: University System of Maryland; University of Baltimore; Purdue University System; Purdue University; William & Mary; Northeastern University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.12939
• 发表日期: 2018
• 页码: 1639-1641
• 关键词: big data; Data analytics; healthcare operations; operations management; service operations; supply-chain management

摘要

Big data has the potential of offering valuable insights into the way organizations function, and it is changing theway organizations make decisions. Nine invited essays provide a wide range of perspectives on the role of big data in customer-driven supply chains, healthcare operations, retail operations, demand planning and manufacturing, environmental and social issues, humanitarian operations, agriculture supply chains, and service operations. Decision makers should have clean, valid, and reliable data, and they should have a thorough understanding of thecontexts of applications. Big data shorten virtual distance to customers, and thus facilitate personalization of products and services. Successful implementation of big data applications requires sharing the data with appropriate stakeholders.