Customer engagement in social media: a framework and meta-analysis
By Fernando de Oliveira Santini, Wagner Junior Ladeira, Diego Costa Pinto, M. Herter, Cláudio Hoffmann Sampaio, Barry J. Babin. Journal of the Academy of Marketing Science, 2020
445 citations recorded by the source corpus.
Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/6c58329e3b23daae95d1bb8a62a9dff1d1eb9313
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Citations in the corpus
- Digital technologies: tensions in privacy and data (2022, background): “With user-generated social media content, location insights from geospatial technologies, biometric data, and web tracking technologies such as cookies, firms can improve marketing and business performance by developing market segmentation and (re)targeting strategies, by crafting personalized conte”