Stakeholder sentiment in service supply chains: big data meets agenda-setting theory

Ray Qing Cao (), Dara G. Schniederjans () and Vicky Ching Gu ()
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Ray Qing Cao: University of Houston Downtown
Dara G. Schniederjans: University of Rhode Island
Vicky Ching Gu: University of Houston Clear Lake

Service Business, 2021, vol. 15, issue 1, No 7, 175 pages

Abstract: Abstract With growing reluctance to store and disseminate sensitive data throughout a supply chain network, there is a need to understand sentiment of big data and ways of control to achieve greater economic viability in the service-oriented supply chain which reflect a greater focus on knowledge sharing from traditional supply chains. Social network data were collected after referencing a focal corporate media (CM) document. This study provides causal inference by first conducting a CM document search and then a social network post web scrape of postings that reference the CM document while controlling for time and other demographic variables. This study finds salience of the big data topic positively impacts stakeholder sentiment but not when future applications are discussed.

Keywords: Text analytics; Sentiment analysis; Digital technologies; Corporate media; Regression (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11628-021-00437-w

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