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The Source of SMEs’ Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models

Author

Listed:
  • Jianmin Song

    (Chongqing University)

  • Senmao Xia

    (Coventry University)

  • Demetris Vrontis

    (University of Nicosia)

  • Arun Sukumar

    (Coventry University)

  • Bing Liao

    (Chongqing University)

  • Qi Li

    (University of Electronic Science and Technology of China
    Chongqing Ruiyun Technology Company)

  • Kun Tian

    (University of East Anglia)

  • Nengzhi Yao

    (Durham University Business School)

Abstract

Literature notes that firms are keen to develop big data analytics capability (BDAC, e.g. big data analytics (BDA) management and technology capability) to improve their competitive performance (e.g. financial performance and growth performance). Unfortunately, the extant literature has limited understanding of the mechanisms by which firms’ BDAC affects their competitive performance, especially in the context of small and medium-sized enterprises (SMEs). Using resource capability as the theoretical lens, this paper specifically examines how BDAC influences SMEs’ competitive performance via the mediating role of business models (BMs). Also, this study explores the moderating effect of COVID-19 on the relationship between BDAC and BMs. Supported by Partial Least Squares-Structural Equation Modelling (PLS-SEM) and data from 242 SMEs in China, this study finds the mediating roles of infrastructure and value attributes of BMs in enhancing the relationship of BDAC on competitive performance. Furthermore, the improvement of financial performance comes from the matching of BDA management capability with infrastructure attributes of BMs, while the improvements in growth come from the matching of BDA management capability and BDA technology capability with value attributes of BMs. The result also confirms the positive moderating effects of COVID-19 on the relationship of BDA management capability and value attributes of BMs. This study enriches the integration of BDAC and BMs literature by showing that the match between BDAC and BMs is vital to achieve competitive performance, and it is helpful for managers to adopt an informed BDA strategy to promote widespread use of BDAs and BMs.

Suggested Citation

  • Jianmin Song & Senmao Xia & Demetris Vrontis & Arun Sukumar & Bing Liao & Qi Li & Kun Tian & Nengzhi Yao, 2022. "The Source of SMEs’ Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models," Information Systems Frontiers, Springer, vol. 24(4), pages 1167-1187, August.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:4:d:10.1007_s10796-022-10287-0
    DOI: 10.1007/s10796-022-10287-0
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    References listed on IDEAS

    as
    1. Lamba, Kuldeep & Singh, Surya Prakash, 2019. "Dynamic supplier selection and lot-sizing problem considering carbon emissions in a big data environment," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 573-584.
    2. Yuan, Chun & Xue, Doudou & He, Xin, 2021. "A balancing strategy for ambidextrous learning, dynamic capabilities, and business model design, the opposite moderating effects of environmental dynamism," Technovation, Elsevier, vol. 103(C).
    3. Jeffrey G. Covin & Kimberly M. Green & Dennis P. Slevin, 2006. "Strategic Process Effects on the Entrepreneurial Orientation–Sales Growth Rate Relationship," Entrepreneurship Theory and Practice, , vol. 30(1), pages 57-81, January.
    4. Lynn Wu & Lorin Hitt & Bowen Lou, 2020. "Data Analytics, Innovation, and Firm Productivity," Management Science, INFORMS, vol. 66(5), pages 2017-2039, May.
    5. Cheng-Kui Huang & Tawei Wang & Tzu-Yen Huang, 2020. "Initial Evidence on the Impact of Big Data Implementation on Firm Performance," Information Systems Frontiers, Springer, vol. 22(2), pages 475-487, April.
    6. Liu, Ying & Soroka, Anthony & Han, Liangxiu & Jian, Jin & Tang, Min, 2020. "Cloud-based big data analytics for customer insight-driven design innovation in SMEs," International Journal of Information Management, Elsevier, vol. 51(C).
    7. Lianxi Zhou & Bradley R Barnes & Yuan Lu, 2010. "Entrepreneurial proclivity, capability upgrading and performance advantage of newness among international new ventures," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(5), pages 882-905, June.
    8. Jonas Soluk & Ivan Miroshnychenko & Nadine Kammerlander & Alfredo De Massis, 2021. "Family Influence and Digital Business Model Innovation: The Enabling Role of Dynamic Capabilities," Entrepreneurship Theory and Practice, , vol. 45(4), pages 867-905, July.
    9. Christoph Zott & Raphael Amit, 2008. "The fit between product market strategy and business model: implications for firm performance," Strategic Management Journal, Wiley Blackwell, vol. 29(1), pages 1-26, January.
    10. Yuliya Snihur & Llewellyn D. W. Thomas & Robert A. Burgelman, 2018. "An Ecosystem‐Level Process Model of Business Model Disruption: The Disruptor's Gambit," Journal of Management Studies, Wiley Blackwell, vol. 55(7), pages 1278-1316, November.
    11. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    12. Burgelman, Robert A. & Grove, Andrew S., 2007. "Cross-Boundary Disruptors: Powerful Inter-Industry Entrepreneurial Change Agents," Research Papers 1978, Stanford University, Graduate School of Business.
    13. Henry Chesbrough & Richard S. Rosenbloom, 2002. "The role of the business model in capturing value from innovation: evidence from Xerox Corporation's technology spin-off companies," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 529-555, June.
    14. Kwon, Ohbyung & Lee, Namyeon & Shin, Bongsik, 2014. "Data quality management, data usage experience and acquisition intention of big data analytics," International Journal of Information Management, Elsevier, vol. 34(3), pages 387-394.
    15. Gerard George & Adam J. Bock, 2011. "The Business Model in Practice and its Implications for Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 35(1), pages 83-111, January.
    16. Ciampi, Francesco & Demi, Stefano & Magrini, Alessandro & Marzi, Giacomo & Papa, Armando, 2021. "Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation," Journal of Business Research, Elsevier, vol. 123(C), pages 1-13.
    17. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 2018. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 20(2), pages 209-222, April.
    18. Latifi, Mohammad-Ali & Nikou, Shahrokh & Bouwman, Harry, 2021. "Business model innovation and firm performance: Exploring causal mechanisms in SMEs," Technovation, Elsevier, vol. 107(C).
    19. 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.
    20. Zhang, Yucheng & Zhang, Meng & Li, Jing & Liu, Guangjian & Yang, Miles M. & Liu, Siqi, 2021. "A bibliometric review of a decade of research: Big data in business research – Setting a research agenda," Journal of Business Research, Elsevier, vol. 131(C), pages 374-390.
    21. Christoph Zott & Raphael Amit, 2007. "Business Model Design and the Performance of Entrepreneurial Firms," Organization Science, INFORMS, vol. 18(2), pages 181-199, April.
    22. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    23. Brettel, Malte & Strese, Steffen & Flatten, Tessa C., 2012. "Improving the performance of business models with relationship marketing efforts – An entrepreneurial perspective," European Management Journal, Elsevier, vol. 30(2), pages 85-98.
    24. Dominik M. Wielgos & Christian Homburg & Christina Kuehnl, 2021. "Digital business capability: its impact on firm and customer performance," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 762-789, July.
    25. Pankaj C. Patel & Marko Kohtamäki & Vinit Parida & Joakim Wincent, 2015. "Entrepreneurial orientation-as-experimentation and firm performance: The enabling role of absorptive capacity," Strategic Management Journal, Wiley Blackwell, vol. 36(11), pages 1739-1749, November.
    26. Olabode, Oluwaseun E. & Boso, Nathaniel & Hultman, Magnus & Leonidou, Constantinos N., 2022. "Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity," Journal of Business Research, Elsevier, vol. 139(C), pages 1218-1230.
    27. Michael H. Morris & Galina Shirokova & Alexander Shatalov, 2013. "The Business Model and Firm Performance: The Case of Russian Food Service Ventures," Journal of Small Business Management, Taylor & Francis Journals, vol. 51(1), pages 46-65, January.
    28. Raphael Amit & Christoph Zott, 2001. "Value creation in E‐business," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 493-520, June.
    29. Snihur, Yuliya & Thomas, Llewellyn D. W. & Burgelman, Robert A., 2018. "An Ecosystem-Level Process Model of Business Model Disruption: The Disruptor's Gambit," Research Papers 3662, Stanford University, Graduate School of Business.
    30. Fuller, Christie M. & Simmering, Marcia J. & Atinc, Guclu & Atinc, Yasemin & Babin, Barry J., 2016. "Common methods variance detection in business research," Journal of Business Research, Elsevier, vol. 69(8), pages 3192-3198.
    31. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    32. Ferreras-Méndez, José Luis & Olmos-Peñuela, Julia & Salas-Vallina, Andrés & Alegre, Joaquín, 2021. "Entrepreneurial orientation and new product development performance in SMEs: The mediating role of business model innovation," Technovation, Elsevier, vol. 108(C).
    33. Mark Loon & Roy Chik, 2019. "Efficiency-centered, innovation-enabling business models of high tech SMEs: Evidence from Hong Kong," Asia Pacific Journal of Management, Springer, vol. 36(1), pages 87-111, March.
    34. Almohri, Haidar & Chinnam, Ratna Babu & Colosimo, Mark, 2019. "Data-driven analytics for benchmarking and optimizing the performance of automotive dealerships," International Journal of Production Economics, Elsevier, vol. 213(C), pages 69-80.
    35. 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.
    36. Howard E. Aldrich & Martha Argelia Martinez, 2001. "Many are Called, but Few are Chosen: An Evolutionary Perspective for the Study of Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 25(4), pages 41-56, July.
    37. Priya Seetharaman & Saji K. Mathew & Maung K. Sein & Ravindra Babu Tallamraju, 2020. "Being (more) Human in a Digitized World," Information Systems Frontiers, Springer, vol. 22(3), pages 529-532, June.
    38. Miroshnychenko, Ivan & Strobl, Andreas & Matzler, Kurt & De Massis, Alfredo, 2021. "Absorptive capacity, strategic flexibility, and business model innovation: Empirical evidence from Italian SMEs," Journal of Business Research, Elsevier, vol. 130(C), pages 670-682.
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