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An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective
Author(s) -
Srinivasan Ravi,
Swink Morgan
Publication year - 2018
Publication title -
production and operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.279
H-Index - 110
eISSN - 1937-5956
pISSN - 1059-1478
DOI - 10.1111/poms.12746
Subject(s) - analytics , flexibility (engineering) , exploit , supply chain , visibility , business analytics , computer science , data analysis , data science , knowledge management , business , process management , marketing , economics , business model , data mining , computer security , physics , management , optics , business analysis
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.