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Social media competitive analysis and text mining: A case study in the pizza industry

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Cited by:

  1. Jisoo Sim & Patrick Miller, 2019. "Understanding an Urban Park through Big Data," IJERPH, MDPI, vol. 16(20), pages 1-16, October.
  2. Braojos-Gomez, Jessica & Benitez-Amado, Jose & Javier Llorens-Montes, F., 2015. "How do small firms learn to develop a social media competence?," International Journal of Information Management, Elsevier, vol. 35(4), pages 443-458.
  3. Grover, Purva & Kar, Arpan Kumar & Davies, Gareth, 2018. "“Technology enabled Health” – Insights from twitter analytics with a socio-technical perspective," International Journal of Information Management, Elsevier, vol. 43(C), pages 85-97.
  4. Arno de Caigny & Kristof Coussement & Koen W. de Bock & Stefan Lessmann, 2019. "Incorporating textual information in customer churn prediction models based on a convolutional neural network," Post-Print hal-02275958, HAL.
  5. Xu, Xun & Wang, Xuequn & Li, Yibai & Haghighi, Mohammad, 2017. "Business intelligence in online customer textual reviews: Understanding consumer perceptions and influential factors," International Journal of Information Management, Elsevier, vol. 37(6), pages 673-683.
  6. I. F. Kuzminov & P. A. Lobanova, 2021. "Economic and Geographical Analysis of the Current State of the Pulp and Paper Industry of European Russia: How is Text Mining Helpful?," Regional Research of Russia, Springer, vol. 11(4), pages 477-489, October.
  7. Pace, Stefano & Buzzanca, Stefano & Fratocchi, Luciano, 2016. "The structure of conversations on social networks: Between dialogic and dialectic threads," International Journal of Information Management, Elsevier, vol. 36(6), pages 1144-1151.
  8. Tanzeela AQIF & Abdul WAHAB, 2022. "Reshaping The Future Of Retail Marketing Through Big Data: A Review From 2009 To 2022," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 14(3), pages 5-24, September.
  9. Misirlis, Nikolaos & Vlachopoulou, Maro, 2018. "Social media metrics and analytics in marketing – S3M: A mapping literature review," International Journal of Information Management, Elsevier, vol. 38(1), pages 270-276.
  10. Luis Pilacuan-Bonete & Purificación Galindo-Villardón & Francisco Delgado-Álvarez, 2022. "HJ-Biplot as a Tool to Give an Extra Analytical Boost for the Latent Dirichlet Assignment (LDA) Model: With an Application to Digital News Analysis about COVID-19," Mathematics, MDPI, vol. 10(14), pages 1-17, July.
  11. Aladwani, Adel M., 2015. "Facilitators, characteristics, and impacts of Twitter use: Theoretical analysis and empirical illustration," International Journal of Information Management, Elsevier, vol. 35(1), pages 15-25.
  12. Esther Calderón-Monge & José M. Ramírez-Hurtado, 2022. "Measuring the consumer engagement related to social media: the case of franchising," Electronic Commerce Research, Springer, vol. 22(4), pages 1249-1274, December.
  13. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sánchez-Alonso, Salvador, 2023. "Twitter as a predictive system: A systematic literature review," Journal of Business Research, Elsevier, vol. 157(C).
  14. Moro, Sérgio & Ramos, Pedro & Esmerado, Joaquim & Jalali, Seyed Mohammad Jafar, 2019. "Can we trace back hotel online reviews’ characteristics using gamification features?," International Journal of Information Management, Elsevier, vol. 44(C), pages 88-95.
  15. Ngai, Eric W.T. & Tao, Spencer S.C. & Moon, Karen K.L., 2015. "Social media research: Theories, constructs, and conceptual frameworks," International Journal of Information Management, Elsevier, vol. 35(1), pages 33-44.
  16. Wu, Sihong & Fan, Di, 2023. "Taking two to tango: A comparative nationalism view of cross-border acquisitions," International Business Review, Elsevier, vol. 32(3).
  17. Lipizzi, Carlo & Iandoli, Luca & Ramirez Marquez, José Emmanuel, 2015. "Extracting and evaluating conversational patterns in social media: A socio-semantic analysis of customers’ reactions to the launch of new products using Twitter streams," International Journal of Information Management, Elsevier, vol. 35(4), pages 490-503.
  18. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.
  19. Ragini, J. Rexiline & Anand, P.M. Rubesh & Bhaskar, Vidhyacharan, 2018. "Big data analytics for disaster response and recovery through sentiment analysis," International Journal of Information Management, Elsevier, vol. 42(C), pages 13-24.
  20. DOGAN-SUDAS Hatice & KARA Ali & CABUK Serap & KAYA Kadir, 2022. "Social Media Customer Relationship Management And Business Performance: Empirical Evidence From An Emerging Market," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 17(2), pages 90-107, August.
  21. Nisar, Tahir M. & Prabhakar, Guru & Patil, Pushp P., 2018. "Sports clubs’ use of social media to increase spectator interest," International Journal of Information Management, Elsevier, vol. 43(C), pages 188-195.
  22. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
  23. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.
  24. Podstawka, Łukasz, 2021. "Food Service Industry Response to the COVID-19 Pandemic," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 319701, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
  25. Shirish, Anuragini & Boughzala, Imed & Srivastava, Shirish C., 2016. "Adaptive use of social networking applications in contemporary organizations: Examining the motivations of Gen Y cohorts," International Journal of Information Management, Elsevier, vol. 36(6), pages 1111-1123.
  26. Zhang, Junsheng & Sun, Yunchuan & Jara, Antonio J., 2015. "Towards semantically linked multilingual corpus," International Journal of Information Management, Elsevier, vol. 35(3), pages 387-395.
  27. Tran, Chi Phuong & Pernia, Ronald A. & Nguyen-Thanh, Nhan, 2023. "Mess or match? How do academic perspectives meet the practitioner perspectives in terms of digital transformation?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  28. Frizzo-Barker, Julie & Chow-White, Peter A. & Mozafari, Maryam & Ha, Dung, 2016. "An empirical study of the rise of big data in business scholarship," International Journal of Information Management, Elsevier, vol. 36(3), pages 403-413.
  29. Tang, Chuanyi & Mehl, Matthias R. & Eastlick, Mary Ann & He, Wu & Card, Noel A., 2016. "A longitudinal exploration of the relations between electronic word-of-mouth indicators and firms’ profitability: Findings from the banking industry," International Journal of Information Management, Elsevier, vol. 36(6), pages 1124-1132.
  30. Ghezzi, Antonio & Gastaldi, Luca & Lettieri, Emanuele & Martini, Antonella & Corso, Mariano, 2016. "A role for startups in unleashing the disruptive power of social media," International Journal of Information Management, Elsevier, vol. 36(6), pages 1152-1159.
  31. Chen, Xi & Wong, Tse Chiu, 2021. "Application of social media data in supply chain management : A systematic review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 499-523, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  32. Hassani, Abdeslam & Mosconi, Elaine, 2022. "Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
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