Think exogenous to excel: alternative supply chain data to improve transparency and decisions. Issue 5 (3rd September 2017)

• Record Type: Journal Article
• Authors: Wood, Lincoln C.; Reiners, Torsten; Srivastava, Hari S.
• Is Part Of: International journal of logistics. Volume 20:Issue 5(2017)
• Page Start: 426
• Page End: 443
• Publication Date: 2017-09-03
• Subjects: Supply chain management -- sentiment analysis -- bullwhip effect -- information sharing -- collaboration; Business logistics -- Periodicals; 658.005
• DOI: 10.1080/13675567.2016.1267126
• Languages: English
• ISSNs: 1367-5567

Abstract

ABSTRACT: Efficient decisions along the supply chain have traditionally demanded sophisticated information sharing processes. Even with decades of research on theoretical and practical developments on integrating systems and stakeholders, in practice, we still seem to struggle to achieve full transparency and mitigate inefficiency challenges. We explore the emerging sentiment analysis technique to augment sales and operations planning with currently unavailable exogenous information. Even though sentiment analysis has gained traction, a comprehensive application in supply chains has not yet been attempted. Relevant topics are reviewed to allow an examination of the key relationships in a process framework, grounded in dual-process and bullwhip effect theory. Our proposed conceptual framework extends our conception of sentiment analysis integration to improve supply chain decisions and performance. The framework addresses managers interested in developing additional analytical capabilities and researchers to initiate further empirical research on the potential held by sentiment analysis in supply chain research.