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Big data with cognitive computing: A review for the future

Citations

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Cited by:

  1. Purva Grover & Arpan Kumar Kar & Yogesh K. Dwivedi, 2022. "Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions," Annals of Operations Research, Springer, vol. 308(1), pages 177-213, January.
  2. Muhammad Shehrayar Khan & Atif Rizwan & Muhammad Shahzad Faisal & Tahir Ahmad & Muhammad Saleem Khan & Ghada Atteia, 2022. "Identification of Review Helpfulness Using Novel Textual and Language-Context Features," Mathematics, MDPI, vol. 10(18), pages 1-20, September.
  3. Gupta, Shivam & Modgil, Sachin & Bhatt, Priyanka C. & Chiappetta Jabbour, Charbel Jose & Kamble, Sachin, 2023. "Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry," Technovation, Elsevier, vol. 120(C).
  4. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
  5. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
  6. Valerio Veglio & Rubina Romanello & Torben Pedersen, 2025. "Employee turnover in multinational corporations: a supervised machine learning approach," Review of Managerial Science, Springer, vol. 19(3), pages 687-728, March.
  7. Lutfi, Abdalwali & Alrawad, Mahmaod & Alsyouf, Adi & Almaiah, Mohammed Amin & Al-Khasawneh, Ahmad & Al-Khasawneh, Akif Lutfi & Alshira'h, Ahmad Farhan & Alshirah, Malek Hamed & Saad, Mohamed & Ibrahim, 2023. "Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  8. Ariyaluran Habeeb, Riyaz Ahamed & Nasaruddin, Fariza & Gani, Abdullah & Targio Hashem, Ibrahim Abaker & Ahmed, Ejaz & Imran, Muhammad, 2019. "Real-time big data processing for anomaly detection: A Survey," International Journal of Information Management, Elsevier, vol. 45(C), pages 289-307.
  9. Hossain, Md Afnan & Akter, Shahriar & Yanamandram, Venkata & Strong, Carolyn, 2024. "Navigating the platform economy: Crafting a customer analytics capability instrument," Journal of Business Research, Elsevier, vol. 170(C).
  10. Taiga Saito & Shivam Gupta, 2025. "Big data applications with theoretical models and social media in financial management," Annals of Operations Research, Springer, vol. 348(3), pages 1489-1511, May.
  11. Djonata Schiessl & Helison Bertoli Alves Dias & José Carlos Korelo, 2022. "Artificial intelligence in marketing: a network analysis and future agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(3), pages 207-218, September.
  12. Pelau Corina & Barbul Maria, 2021. "Consumers’ perception on the use of cognitive computing," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 639-649, December.
  13. Wei-wei Zhang & Jyoti Bhola & Rajeev Kumar & Nitin Saluja, 2022. "Study and analysis of big data for characterization of user association in large scale," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 375-384, March.
  14. 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.
  15. 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.
  16. Aftab, Junaid & Wei, Feng & Srivastava, Mohit & Abid, Nabila & Ishaq, Muhammad Ishtiaq, 2025. "Intermediating mechanisms and market conditions in big data knowledge management for enhanced market performance," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  17. Kadaifci, Cigdem, 2024. "A new approach to MACTOR considering interaction effects: An example from the telecommunications industry in Turkey," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  18. Dicuonzo, Grazia & Donofrio, Francesca & Fusco, Antonio & Shini, Matilda, 2023. "Healthcare system: Moving forward with artificial intelligence," Technovation, Elsevier, vol. 120(C).
  19. Calvard, Thomas Stephen & Jeske, Debora, 2018. "Developing human resource data risk management in the age of big data," International Journal of Information Management, Elsevier, vol. 43(C), pages 159-164.
  20. Feng, Yi & Yin, Yunqiang & Wang, Dujuan & Ignatius, Joshua & Cheng, T.C.E. & Marra, Marianna & Guo, Yihan, 2024. "Enhancing e-commerce customer churn management with a profit- and AUC-focused prescriptive analytics approach," Journal of Business Research, Elsevier, vol. 184(C).
  21. Zaitsava, Maryia & Marku, Elona & Di Guardo, Maria Chiara, 2022. "Is data-driven decision-making driven only by data? When cognition meets data," European Management Journal, Elsevier, vol. 40(5), pages 656-670.
  22. Philip Mundlos, 2025. "The impact of artificial intelligence on managerial attention allocation for discontinuous change: a conceptual framework," Management Review Quarterly, Springer, vol. 75(2), pages 1-45, June.
  23. Balakrishnan, Janarthanan & Abed, Salma S. & Jones, Paul, 2022. "The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
  24. Kaw, Javaid A. & Loan, Nazir A. & Parah, Shabir A. & Muhammad, K. & Sheikh, Javaid A. & Bhat, G.M., 2019. "A reversible and secure patient information hiding system for IoT driven e-health," International Journal of Information Management, Elsevier, vol. 45(C), pages 262-275.
  25. 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).
  26. 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.
  27. Sodhro, Ali Hassan & Luo, Zongwei & Sangaiah, Arun Kumar & Baik, Sung Wook, 2019. "Mobile edge computing based QoS optimization in medical healthcare applications," International Journal of Information Management, Elsevier, vol. 45(C), pages 308-318.
  28. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
  29. Lendowski, Eva & Grotenhermen, Jan-Gerrit & Jürgenschellert, Britta & Schewe, Gerhard, 2023. "The role of organisational drivers of exploration and exploitation – Market dynamism as a contingency factor," European Management Journal, Elsevier, vol. 41(3), pages 445-457.
  30. Yu Cao & Liyan Huang & Nur Mardhiyah Aziz & Syahrul Nizam Kamaruzzaman, 2022. "Building Information Modelling (BIM) Capabilities in the Design and Planning of Rural Settlements in China: A Systematic Review," Land, MDPI, vol. 11(10), pages 1-34, October.
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