Theory building with big data-driven research – Moving away from the “What” towards the “Why”
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DOI: 10.1016/j.ijinfomgt.2020.102205
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- Basu, Bibaswan & Sebastian, M.P. & Kar, Arpan Kumar, 2024. "What affects the promoting intention of mobile banking services? Insights from mining consumer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
- Amit Kumar Kushwaha & Ruchika Pharswan & Prashant Kumar & Arpan Kumar Kar, 2023. "How Do Users Feel When They Use Artificial Intelligence for Decision Making? A Framework for Assessing Users’ Perception," Information Systems Frontiers, Springer, vol. 25(3), pages 1241-1260, June.
- C, Deep Prakash & Majumdar, Adrija, 2023. "Predicting sports fans’ engagement with culturally aligned social media content: A language expectancy perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
- Arpan Kumar Kar & Amit Kumar Kushwaha, 2023. "Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics," Information Systems Frontiers, Springer, vol. 25(4), pages 1351-1374, August.
- Mohina Gandhi & Arpan Kumar Kar & Sanjit Kumar Roy, 2024. "Managing Industrial Innovation Communications on Social Media Platforms for Effective User Engagement," Information Systems Frontiers, Springer, vol. 26(4), pages 1417-1434, August.
- Dwivedi, Yogesh K & Shareef, Mahmud A & Akram, Muhammad S & Bhatti, Zeeshan A & Rana, Nripendra P, 2022. "Examining the effects of enterprise social media on operational and social performance during environmental disruption," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Wu, Pei-Ju, 2024. "The vulnerability and resilience of service quality management in food supply chains: Lessons from unstructured data on food-safety cases," Journal of Retailing and Consumer Services, Elsevier, vol. 80(C).
- Prabhsimran Singh & Surleen Kaur & Abdullah M. Baabdullah & Yogesh K. Dwivedi & Sandeep Sharma & Ravinder Singh Sawhney & Ronnie Das, 2023. "Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter," Information Systems Frontiers, Springer, vol. 25(1), pages 199-219, February.
- Islam, Towhidul & Meade, Nigel & Carson, Richard T. & Louviere, Jordan J. & Wang, Juan, 2022. "The usefulness of socio-demographic variables in predicting purchase decisions: Evidence from machine learning procedures," Journal of Business Research, Elsevier, vol. 151(C), pages 324-338.
- Maryia Zaitsava & Elona Marku & Maria Chiara Guardo & Azar Shahgholian, 2023. "A fine-grained perspective on big data knowledge creation: dimensions, insights, and mechanism from a pilot study," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 547-573, June.
- Taiga Saito & Shivam Gupta, 2022. "Big Data Applications with Theoretical Models and Social Media in Financial Management," CIRJE F-Series CIRJE-F-1205, CIRJE, Faculty of Economics, University of Tokyo.
- Shivam Gupta & Théo Justy & Shampy Kamboj & Ajay Kumar & Eivind Kristoffersen, 2021. "Big data and firm marketing performance: Findings from knowledge-based view," Post-Print hal-03609916, HAL.
- Taiga Saito & Shivam Gupta, 2022. "Big data applications with theoretical models and social media in financial management," CARF F-Series CARF-F-550, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Alex V. Teixeira & Denis Alcides Rezende, 2023. "A Multidimensional Information Management Framework for Strategic Digital Cities: A Comparative Analysis of Canada and Brazil," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 107-121, March.
- Arpan Kumar Kar & Shalini Nath Tripathi & Nishtha Malik & Shivam Gupta & Uthayasankar Sivarajah, 2023. "How Does Misinformation and Capricious Opinions Impact the Supply Chain - A Study on the Impacts During the Pandemic," Annals of Operations Research, Springer, vol. 327(2), pages 713-734, August.
- Xing, Yunfei & Wang, Xiwei & Qiu, Chengcheng & Li, Yueqi & He, Wu, 2022. "Research on opinion polarization by big data analytics capabilities in online social networks," Technology in Society, Elsevier, vol. 68(C).
- Suzanne Elayan & Martin Sykora, 2024. "Digital intermediaries in pandemic times: social media and the role of bots in communicating emotions and stress about Coronavirus," Journal of Computational Social Science, Springer, vol. 7(3), pages 2481-2504, December.
- Geissinger, Andrea & Laurell, Christofer & Öberg, Christina & Sandström, Christian, 2023. "Social media analytics for innovation management research: A systematic literature review and future research agenda," Technovation, Elsevier, vol. 123(C).
- Tat‐Dat Bui & Jiun‐Wei Tseng & Thi Phuong Thuy Tran & Hien Minh Ha & Ming K. Lim & Ming‐Lang Tseng, 2023. "Circular supply chain strategy in Industry 4.0: The canned food industry in Vietnam," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 6047-6073, December.
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Keywords
Big data analytics; Image mining; Network mining; Sentiment analysis; Text mining; Inductive theory building; Machine learning; Information management; Data science; Review;All these keywords.
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