Marketing

Big data

World Wide Web

Service (business)

Causal inference

Public relations

Dissemination

Telecommunications

Economics

Data mining

Computer science

Business

Salience (neuroscience)

Social media

Political science

Inference

Econometrics

Supply chain

Data science

Artificial intelligence

Knowledge management

Sentiment analysis

Stakeholder

Machine learning

Service Business

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.

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