An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective

• 成果类型: Article
• 署名作者: Srinivasan, Ravi; Swink, Morgan
• 署名单位: Loyola University Maryland; Texas Christian University
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.12746
• 发表日期: 2018
• 页码: 1849-1867
• 关键词: common method variance; big data; Environmental uncertainty; PRODUCT DEVELOPMENT; integration; management; performance; models; INNOVATION; inventory

摘要

Many businesses are seeking to develop and exploit analytics capabilities today. Using organizational information processing theory (OIPT), we study demand visibility and supply visibility as foundational resources for analytics capability, and organizational flexibility as a complementary capability. We further examine relationships among these factors under varying conditions of market volatility, a type of environmental uncertainty. The results from our analysis of data from 191 global firms indicate that both demand and supply visibility are associated with the development of analytics capability. In turn, analytics capability is shown to be more strongly associated with operational performance when supply chain organizations also possess organizational flexibility needed to act upon analytics-generated insights quickly and efficiently. Furthermore, the empirical results indicate that analytics capability and organizational flexibility are more valuable as complementary capabilities for firms who operate in volatile markets, rather than in stable ones. These findings extend OIPT to create a better understanding of contemporary applications of information processing technologies, while also providing theoretically grounded guidance to managers in the development of analytics capabilities within their firms.