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Turning Crisis into Opportunities: How a Firm Can Enrich Its Business Operations Using Artificial Intelligence and Big Data during COVID-19

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  • Yasheng Chen

    (Department of Accounting, School of Management, Xiamen University, Xiamen 361005, China)

  • Mohammad Islam Biswas

    (Institute of Financial and Accounting Studies, School of Management, Xiamen University, Xiamen 361005, China
    Department of Accounting, School of Business, Bangladesh University of Business and Technology (BUBT), Dhaka 1216, Bangladesh)

Abstract

The COVID-19 pandemic has severe impacts on global health and social and economic safety. The present study discusses strategies for turning the COVID-19 crisis into opportunities to use artificial intelligence (AI) and big data in business operations. Based on the shared experience and theoretical ground, researchers identified five major business challenges during the COVID-19 pandemic: production and supply-chain disruption, appropriate business model selection, inventory management, budget planning, and workforce management. These five challenges were outlined with eight business cases as examples of companies that had already utilized AI and big data for their business operations during the COVID-19 pandemic. The outcomes of this study provide valuable insights into contemporary social science research and business management with AI and big data applications as a business response to any crisis in the future.

Suggested Citation

  • Yasheng Chen & Mohammad Islam Biswas, 2021. "Turning Crisis into Opportunities: How a Firm Can Enrich Its Business Operations Using Artificial Intelligence and Big Data during COVID-19," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12656-:d:680379
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    References listed on IDEAS

    as
    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    3. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
    4. Barnes, M.D. & Hanson, C.L. & Novilla, L.M.B. & Meacham, A.T. & McIntyre, E. & Erickson, B.C., 2008. "Analysis of media agenda setting during and after Hurricane Katrina: Implications for emergency preparedness, disaster response, and disaster policy," American Journal of Public Health, American Public Health Association, vol. 98(4), pages 604-610.
    5. Appel Mahmud & Donghong Ding & Md. Morshadul Hasan, 2021. "Corporate Social Responsibility: Business Responses to Coronavirus (COVID-19) Pandemic," SAGE Open, , vol. 11(1), pages 21582440209, January.
    6. Hamza Saleem & Yongjun Li & Zulqurnain Ali & Aqsa Mehreen & Muhammad Salman Mansoor, 2020. "An empirical investigation on how big data analytics influence China SMEs performance: do product and process innovation matter?," Asia Pacific Business Review, Taylor & Francis Journals, vol. 26(5), pages 537-562, October.
    7. Wang, Yonggui & Hong, Aoran & Li, Xia & Gao, Jia, 2020. "Marketing innovations during a global crisis: A study of China firms’ response to COVID-19," Journal of Business Research, Elsevier, vol. 116(C), pages 214-220.
    8. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
    9. Shaowen Luo & Kwok Ping Tsang, 2020. "China And World Output Impact Of The Hubei Lockdown During The Coronavirus Outbreak," Contemporary Economic Policy, Western Economic Association International, vol. 38(4), pages 583-592, October.
    10. Fernando, Mario, 2010. "Corporate social responsibility in the wake of the Asian tsunami: Effect of time on the genuineness of CSR initiatives," European Management Journal, Elsevier, vol. 28(1), pages 68-79, February.
    11. Md. Morshadul Hasan & Lu Yajuan & Appel Mahmud, 2020. "Regional Development of China’s Inclusive Finance Through Financial Technology," SAGE Open, , vol. 10(1), pages 21582440199, February.
    12. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
    13. Omar Rabeea Mahdi & Islam A. Nassar, 2021. "The Business Model of Sustainable Competitive Advantage through Strategic Leadership Capabilities and Knowledge Management Processes to Overcome COVID-19 Pandemic," Sustainability, MDPI, vol. 13(17), pages 1-27, September.
    14. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    15. Tsan‐Ming Choi & James H. Lambert, 2017. "Advances in Risk Analysis with Big Data," Risk Analysis, John Wiley & Sons, vol. 37(8), pages 1435-1442, August.
    16. Sufyan Habib & Nawaf N. Hamadneh, 2021. "Impact of Perceived Risk on Consumers Technology Acceptance in Online Grocery Adoption amid COVID-19 Pandemic," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    17. Sigala, Marianna, 2020. "Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research," Journal of Business Research, Elsevier, vol. 117(C), pages 312-321.
    18. Carnevale, Joel B. & Hatak, Isabella, 2020. "Employee adjustment and well-being in the era of COVID-19: Implications for human resource management," Journal of Business Research, Elsevier, vol. 116(C), pages 183-187.
    19. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    20. Prince Clement Addo & Fang Jiaming & Nora Bakabbey Kulbo & Li Liangqiang, 2020. "COVID-19: fear appeal favoring purchase behavior towards personal protective equipment," The Service Industries Journal, Taylor & Francis Journals, vol. 40(7-8), pages 471-490, June.
    21. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    22. Dana AlTarrah & Entisar AlShami & Nawal AlHamad & Fatemah AlBesher & Sriraman Devarajan, 2021. "The Impact of Coronavirus COVID-19 Pandemic on Food Purchasing, Eating Behavior, and Perception of Food Safety in Kuwait," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    23. Cubric, Marija, 2020. "Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study," Technology in Society, Elsevier, vol. 62(C).
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    2. Christopher M. Durugbo & Zainab Al-Balushi, 2023. "Supply chain management in times of crisis: a systematic review," Management Review Quarterly, Springer, vol. 73(3), pages 1179-1235, September.

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