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Modeling the role of message content and influencers in social media rebroadcasting

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Cited by:

  1. Onofrei, George & Filieri, Raffaele & Kennedy, Lorraine, 2022. "Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors," Journal of Business Research, Elsevier, vol. 142(C), pages 100-112.
  2. Farivar, Samira & Wang, Fang, 2022. "Effective influencer marketing: A social identity perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  3. Bo Yang & Chao Liu & Xusen Cheng & Xi Ma, 2022. "Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective," Group Decision and Negotiation, Springer, vol. 31(4), pages 819-842, August.
  4. Abouk, Rahi & Jalali, Nima & Papatla, Purushottam, 2024. "Can tweets be word of mouth that changes risky behaviors?," Journal of Business Research, Elsevier, vol. 174(C).
  5. Sanz-Blas, Silvia & Buzova, Daniela & Pérez-Ruiz, Pilar, 2021. "Building relational worth in an online social community through virtual structural embeddedness and relational embeddedness," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  6. Fangfang Li & Jorma Larimo & Leonidas C. Leonidou, 2021. "Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 51-70, January.
  7. Rietveld, Robert & van Dolen, Willemijn & Mazloom, Masoud & Worring, Marcel, 2020. "What You Feel, Is What You Like Influence of Message Appeals on Customer Engagement on Instagram," Journal of Interactive Marketing, Elsevier, vol. 49(C), pages 20-53.
  8. Matthew J. Schneider & Shawn Mankad, 2021. "A Two-Stage Authorship Attribution Method Using Text and Structured Data for De-Anonymizing User-Generated Content," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(3), pages 66-83, September.
  9. Qian, Yang & Ling, Haifeng & Meng, Xiangrui & Jiang, Yuanchun & Chai, Yidong & Liu, Yezheng, 2024. "Voice of the Professional: Acquiring competitive intelligence from large-scale professional generated contents," Journal of Business Research, Elsevier, vol. 180(C).
  10. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
  11. Hartmann, Jochen & Huppertz, Juliana & Schamp, Christina & Heitmann, Mark, 2019. "Comparing automated text classification methods," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 20-38.
  12. Irina Maiorescu & Mihaela Bucur & Bogdan Georgescu & Daniel Moise & Vasile Alecsandru Strat & Ion Daniel Zgură, 2020. "Social Media and IOT Wearables in Developing Marketing Strategies. Do SMEs Differ From Large Enterprises?," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
  13. Khan, Naseer Abbas & Khan, Ali Nawaz & Moin, Muhammad Farrukh, 2021. "Self-regulation and social media addiction: A multi-wave data analysis in China," Technology in Society, Elsevier, vol. 64(C).
  14. Bano, Shehar & Cisheng, Wu & Khan, Ali Nawaz & Khan, Naseer Abbas, 2019. "WhatsApp use and student's psychological well-being: Role of social capital and social integration," Children and Youth Services Review, Elsevier, vol. 103(C), pages 200-208.
  15. Ning Zhong & David A. Schweidel, 2020. "Capturing Changes in Social Media Content: A Multiple Latent Changepoint Topic Model," Marketing Science, INFORMS, vol. 39(4), pages 827-846, July.
  16. Qingliang Wang & Fred Miao & Giri Kumar Tayi & En Xie, 2019. "What makes online content viral? The contingent effects of hub users versus non–hub users on social media platforms," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1005-1026, November.
  17. Tyler Horan, 2021. "Commercial Limits to Personality: Instagram Influencers and Commoditized Content Receptivity," Societies, MDPI, vol. 11(3), pages 1-10, July.
  18. Han, Zhongya & Tang, Zhongjun & He, Bo, 2022. "Improved Bass model for predicting the popularity of product information posted on microblogs," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  19. Bitty Balducci & Detelina Marinova, 2018. "Unstructured data in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 557-590, July.
  20. Zhao, Yan & Wen, Lingling & Feng, Xiangnan & Li, Ran & Lin, Xiaolin, 2020. "How managerial responses to online reviews affect customer satisfaction: An empirical study based on additional reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
  21. Xiao Han & Leye Wang & Weiguo Fan, 2023. "Cost-Effective Social Media Influencer Marketing," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 138-157, January.
  22. Prithwiraj Mukherjee & Souvik Dutta & Arnaud De Bruyn, 2022. "Did clickbait crack the code on virality?," Journal of the Academy of Marketing Science, Springer, vol. 50(3), pages 482-502, May.
  23. Joaquin Sanchez & Carmen Abril & Michael Haenlein, 2020. "Competitive spillover elasticities of electronic word of mouth: an application to the soft drink industry," Journal of the Academy of Marketing Science, Springer, vol. 48(2), pages 270-287, March.
  24. Jia Liu & Olivier Toubia, 2018. "A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries," Marketing Science, INFORMS, vol. 37(6), pages 930-952, November.
  25. Hansen, Nele & Kupfer, Ann-Kristin & Hennig-Thurau, Thorsten, 2018. "Brand crises in the digital age: The short- and long-term effects of social media firestorms on consumers and brands," International Journal of Research in Marketing, Elsevier, vol. 35(4), pages 557-574.
  26. Lo, Pei-San & Dwivedi, Yogesh K. & Wei-Han Tan, Garry & Ooi, Keng-Boon & Cheng-Xi Aw, Eugene & Metri, Bhimaraya, 2022. "Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis," Journal of Business Research, Elsevier, vol. 147(C), pages 325-337.
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