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The usage of large data sets in online consumer behaviour: A bibliometric and computational text-mining–driven analysis of previous research

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Cited by:

  1. Das, Kallol & Patel, Jayesh D. & Sharma, Anuj & Shukla, Yupal, 2023. "Creativity in marketing: Examining the intellectual structure using scientometric analysis and topic modeling," Journal of Business Research, Elsevier, vol. 154(C).
  2. Ruturaj Baber & Yogesh Upadhyay & Prerana Baber & Rahul Pratap Singh Kaurav, 2023. "Three Decades of Consumer Ethnocentrism Research: A Bibliometric Analysis," Business Perspectives and Research, , vol. 11(1), pages 137-158, January.
  3. Gonzalo Wandosell & María C. Parra-Meroño & Alfredo Alcayde & Raúl Baños, 2021. "Green Packaging from Consumer and Business Perspectives," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
  4. Kim, Hyunsu & Li, Jing & So, Kevin Kam Fung, 2024. "Psychological ownership research in business: A bibliometric overview and future research directions," Journal of Business Research, Elsevier, vol. 174(C).
  5. Madjid Tavana & Akram Shaabani & Francisco Javier Santos-Arteaga & Iman Raeesi Vanani, 2020. "A Review of Uncertain Decision-Making Methods in Energy Management Using Text Mining and Data Analytics," Energies, MDPI, vol. 13(15), pages 1-23, August.
  6. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
  7. Tuğçe Ozansoy Çadırcı & Ayşegül Sağkaya Güngör, 2021. "26 years left behind: a historical and predictive analysis of electronic business research," Electronic Commerce Research, Springer, vol. 21(1), pages 223-243, March.
  8. Fernando Garrigós-Simón & Silvia Sanz-Blas & Yeamduan Narangajavana & Daniela Buzova, 2021. "The Nexus between Big Data and Sustainability: An Analysis of Current Trends and Developments," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
  9. Lim, Weng Marc & Rasul, Tareq & Kumar, Satish & Ala, Mamun, 2022. "Past, present, and future of customer engagement," Journal of Business Research, Elsevier, vol. 140(C), pages 439-458.
  10. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
  11. Rosanna Cataldo & Leonardo Salvatore Alaimo & Maria Gabriella Grassia & Filomena Maggino, 2024. "How Subjective Well-being Evolved Over Time: Insights from Bibliometric and Text Mining Analyses," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 19(5), pages 2389-2415, October.
  12. Muhammad Sani Khamisu & Ratna Achuta Paluri & Vandana Sonwaney, 2024. "Analysis of the Past, Present and the Future of International Student Mobility: A Retrospective Review," South Asian Journal of Business and Management Cases, , vol. 13(1), pages 54-80, April.
  13. Blasco-Arcas, Lorena & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2023. "Leveraging user behavior and data science technologies for management: An overview," Journal of Business Research, Elsevier, vol. 154(C).
  14. Mariani, Marcello M. & Borghi, Matteo & Laker, Benjamin, 2023. "Do submission devices influence online review ratings differently across different types of platforms? A big data analysis," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  15. Aleem, Majid & Sufyan, Muhammad & Ameer, Irfan & Mustak, Mekhail, 2023. "Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda," Journal of Business Research, Elsevier, vol. 154(C).
  16. Mishra, Arindra N. & Raj, Alok & Pani, Ashis K., 2020. "Construal Level Research in Decision Making: Analysis and Pushing Forward the Debate Using Bibliometric Review and Thematic Analysis," American Business Review, Pompea College of Business, University of New Haven, vol. 23(1), pages 106-135, May.
  17. Reyes-Menendez, Ana & Clemente-Mediavilla, Jorge & Villagra, Nuria, 2023. "Understanding STI and SDG with artificial intelligence: A review and research agenda for entrepreneurial action," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  18. Lu, Lin & Xu, Pei & Wang, Yen-Yao & Wang, Yu, 2023. "Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms," Journal of Business Research, Elsevier, vol. 169(C).
  19. Akyildirim, Erdinc & Sensoy, Ahmet & Gulay, Guzhan & Corbet, Shaen & Salari, Hajar Novin, 2021. "Big data analytics, order imbalance and the predictability of stock returns," Journal of Multinational Financial Management, Elsevier, vol. 62(C).
  20. Aversa, Joseph & Azmy, Ali & Hernandez, Tony, 2024. "Untapping the potential of mobile location data: The opportunities and challenges for retail analytics," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  21. Loutfi, Ahmad Amine, 2022. "A framework for evaluating the business deployability of digital footprint based models for consumer credit," Journal of Business Research, Elsevier, vol. 152(C), pages 473-486.
  22. Riad Shams, S.M. & Vrontis, Demetris & Chaudhuri, Ranjan & Chavan, Gitesh & Czinkota, Michael R., 2020. "Stakeholder engagement for innovation management and entrepreneurial development: A meta-analysis," Journal of Business Research, Elsevier, vol. 119(C), pages 67-86.
  23. Mustak, Mekhail & Salminen, Joni & Plé, Loïc & Wirtz, Jochen, 2021. "Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 389-404.
  24. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
  25. Ciechanowski, Leon & Jemielniak, Dariusz & Gloor, Peter A., 2020. "TUTORIAL: AI research without coding: The art of fighting without fighting: Data science for qualitative researchers," Journal of Business Research, Elsevier, vol. 117(C), pages 322-330.
  26. Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).
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