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Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach

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  • Behl, Abhishek
  • Gaur, Jighyasu
  • Pereira, Vijay
  • Yadav, Rambalak
  • Laker, Benjamin

Abstract

The extant literature suggests that digital technologies (big data analytics, artificial intelligence, blockchain) help firms gain a competitive advantage. However, the studies do not focus on the micro, small and medium enterprises (MSME) sector. Moreover, MSMEs face various challenges, including significant supply chain disruption due to the COVID-19 pandemic. Hence, there was an urgent requirement to shift to digital technologies to survive during this difficult time. In the context of MSME, various positive changes are discussed in the recent literature. However, a dearth of studies discusses the role of big data analytics capabilities (BDAC) to gain sustainable competitive advantage (SCA). Our study aims to fill this gap and answer this question – How do BDAC help MSMEs gain SCA? To understand the phenomenon, we receive theoretical support from organizational information processing theory (OIPT) and institutional theory (IT). We develop a conceptual framework that links BDAC and SCA through supply chain coordination, swift trust, and supply chain risk. Additionally, the age and size of the firm are used as control variables. The data is collected from Indian service sector employees of MSMEs, resulting in 497 usable responses. We use PLS-SEM using Warp PLS 7.0 to test the hypotheses. A critical finding is that the BDAC indirectly impacts the SCA. Finally, the other findings, limitations, and scope for future research are discussed.

Suggested Citation

  • Behl, Abhishek & Gaur, Jighyasu & Pereira, Vijay & Yadav, Rambalak & Laker, Benjamin, 2022. "Role of big data analytics capabilities to improve sustainable competitive advantage of MSME service firms during COVID-19 – A multi-theoretical approach," Journal of Business Research, Elsevier, vol. 148(C), pages 378-389.
    • Handle: RePEc:eee:jbrese:v:148:y:2022:i:c:p:378-389
    DOI: 10.1016/j.jbusres.2022.05.009
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    1. Jayalaxmi P. Shetty & Dibyendu Choudhury & Rajesh Panda, 2020. "MSME initiatives to support cloud adoption in India," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 21(2), pages 225-246.
    2. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    3. Lee, Yikuan & Cavusgil, S. Tamer, 2006. "Enhancing alliance performance: The effects of contractual-based versus relational-based governance," Journal of Business Research, Elsevier, vol. 59(8), pages 896-905, August.
    4. Pan Liu & Shu-ping Yi, 2016. "Investment Decision-Making and Coordination of Supply Chain: A New Research in the Big Data Era," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-10, May.
    5. Adhikari, Arnab & Bisi, Arnab & Avittathur, Balram, 2020. "Coordination mechanism, risk sharing, and risk aversion in a five-level textile supply chain under demand and supply uncertainty," European Journal of Operational Research, Elsevier, vol. 282(1), pages 93-107.
    6. Akter, Shahriar & Wamba, Samuel Fosso & Gunasekaran, Angappa & Dubey, Rameshwar & Childe, Stephen J., 2016. "How to improve firm performance using big data analytics capability and business strategy alignment?," International Journal of Production Economics, Elsevier, vol. 182(C), pages 113-131.
    7. Giannakis, Mihalis & Papadopoulos, Thanos, 2016. "Supply chain sustainability: A risk management approach," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 455-470.
    8. Sawik, Tadeusz, 2009. "Coordinated supply chain scheduling," International Journal of Production Economics, Elsevier, vol. 120(2), pages 437-451, August.
    9. Tseng, Ming-Lang & Lim, Ming K. & Wu, Kuo-Jui, 2019. "Improving the benefits and costs on sustainable supply chain finance under uncertainty," International Journal of Production Economics, Elsevier, vol. 218(C), pages 308-321.
    10. Mridul Maheshwari & Arbind Samal & Vaibhav Bhamoriya, 2020. "Role of employee relations and HRM in driving commitment to sustainability in MSME firms," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 69(8), pages 1743-1764, June.
    11. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    12. Shamim, Saqib & Zeng, Jing & Khan, Zaheer & Zia, Najam Ul, 2020. "Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    13. Nicola Luigi Bragazzi & Haijiang Dai & Giovanni Damiani & Masoud Behzadifar & Mariano Martini & Jianhong Wu, 2020. "How Big Data and Artificial Intelligence Can Help Better Manage the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(9), pages 1-8, May.
    14. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    15. Behl, Abhishek & Dutta, Pankaj, 2020. "Engaging donors on crowdfunding platform in Disaster Relief Operations (DRO) using gamification: A Civic Voluntary Model (CVM) approach," International Journal of Information Management, Elsevier, vol. 54(C).
    16. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    17. Bresciani, Stefano & Ciampi, Francesco & Meli, Francesco & Ferraris, Alberto, 2021. "Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda," International Journal of Information Management, Elsevier, vol. 60(C).
    18. Miemczyk, Joe, 2008. "An exploration of institutional constraints on developing end-of-life product recovery capabilities," International Journal of Production Economics, Elsevier, vol. 115(2), pages 272-282, October.
    19. Maroufkhani, Parisa & Tseng, Ming-Lang & Iranmanesh, Mohammad & Ismail, Wan Khairuzzaman Wan & Khalid, Haliyana, 2020. "Big data analytics adoption: Determinants and performances among small to medium-sized enterprises," International Journal of Information Management, Elsevier, vol. 54(C).
    20. Rajasekhara Mouly Potluri & Narasimha Rao Vajjhala, 2021. "Risks in Adoption and Implementation of Big Data Analytics: A Case of Indian Micro, Small, and Medium Enterprises (MSMEs)," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 10(3), pages 1-11, July.
    21. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
    22. Mojtaba Salem & Niels Van Quaquebeke & Maria Besiou & Louisa Meyer, 2019. "Intergroup Leadership: How Leaders Can Enhance Performance of Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 28(11), pages 2877-2897, November.
    23. Sheng, Margaret L. & Saide, Saide, 2021. "Supply chain survivability in crisis times through a viable system perspective: Big data, knowledge ambidexterity, and the mediating role of virtual enterprise," Journal of Business Research, Elsevier, vol. 137(C), pages 567-578.
    24. Joe Miemczyk, 2008. "An exploration of institutional constraints on developing end-of-life product recovery capabilities," Post-Print hal-00765366, HAL.
    25. Kock, Ned, 2019. "Factor-based structural equation modeling with WarpPLS," Australasian marketing journal, Elsevier, vol. 27(1), pages 57-63.
    26. Zakaria, Norhayati & Mohd Yusof, Shafiz Affendi, 2020. "Crossing Cultural Boundaries Using the Internet: Toward Building a Model of Swift Trust Formation in Global Virtual Teams," Journal of International Management, Elsevier, vol. 26(1).
    27. Jighyasu Gaur & Mehdi Amini & Arza Keshava Rao, 2020. "The impact of supply chain disruption on the closed-loop supply chain configuration profit: a study of sourcing policies," International Journal of Production Research, Taylor & Francis Journals, vol. 58(17), pages 5380-5400, September.
    28. Christine Oliver, 1997. "Sustainable competitive advantage: combining institutional and resource‐based views," Strategic Management Journal, Wiley Blackwell, vol. 18(9), pages 697-713, October.
    29. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    30. Venkatesh Mani & Catarina Delgado & Benjamin T. Hazen & Purvishkumar Patel, 2017. "Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain," Sustainability, MDPI, vol. 9(4), pages 1-21, April.
    31. Yu, Wantao & Zhao, Gen & Liu, Qi & Song, Yongtao, 2021. "Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    32. Dmitry Ivanov & Ajay Das, 2020. "Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: a research note," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 13(1), pages 90-102.
    33. Rameshwar Dubey & David James Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2020. "Agility in humanitarian supply chain: An organizational information processing perspective and relational view," Post-Print hal-03539292, HAL.
    34. Mishra, Deepa & Sharma, R.R.K. & Kumar, Sameer & Dubey, Rameshwar, 2016. "Bridging and buffering: Strategies for mitigating supply risk and improving supply chain performance," International Journal of Production Economics, Elsevier, vol. 180(C), pages 183-197.
    35. Anupam Singh & Priyanka Verma, 2019. "The impact of corporate social responsibility on brand equity of Indian firms," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 20(1), pages 64-86.
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