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Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation

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  • Ciampi, Francesco
  • Demi, Stefano
  • Magrini, Alessandro
  • Marzi, Giacomo
  • Papa, Armando

Abstract

Big Data Analytics Capabilities (BDAC) represent critical tools for business competitiveness in highly dynamic markets. In this connection, by leveraging on the Dynamic Capabilities View (DCV) this study analyses the relationship between BDAC and Business Model Innovation (BMI). It argues that the impact of BDAC (a lower-order dynamic capability) on BMI is mediated by Entrepreneurial Orientation (EO; a higher-order dynamic capability). The proposed model is assessed by PLS-SEM (symmetric) and fuzzy-set Qualitative Comparative Analysis (asymmetric) methods using survey data from 253 UK firms. Our findings demonstrate that BDAC have both direct and indirect positive effects on BMI, with the latter being mediated by EO. These results enrich the innovation management literature on Big Data (BD) by showing that BDAC influence company strategic logics and objectives, rather than depending on them, thus playing a significant role in creating value for companies and their stakeholders.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jbrese:v:123:y:2021:i:c:p:1-13
    DOI: 10.1016/j.jbusres.2020.09.023
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    as
    1. Mahda Garmaki & Imed Boughzala & Samuel Fosso Wamba, 2016. "The effect of big data analytics capability on firm performance," Post-Print hal-01414811, HAL.
    2. Jeffrey G. Covin & G.T. Lumpkin, 2011. "Entrepreneurial Orientation Theory and Research: Reflections on a Needed Construct," Entrepreneurship Theory and Practice, , vol. 35(5), pages 855-872, September.
    3. Hau L. Lee, 2018. "Big Data and the Innovation Cycle," Production and Operations Management, Production and Operations Management Society, vol. 27(9), pages 1642-1646, September.
    4. Cepeda Carrión, Gabriel & Henseler, Jörg & Ringle, Christian M. & Roldán, José Luis, 2016. "Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section," Journal of Business Research, Elsevier, vol. 69(10), pages 4545-4551.
    5. Izabella V. Lokshina & Barbara J. Durkin & Cees Lanting, 2018. "The IoT- and Big Data-Driven Data Analysis Services: KM, Implications and Business Opportunities," International Journal of Knowledge Management (IJKM), IGI Global, vol. 14(4), pages 88-107, October.
    6. Makkonen, Hannu & Pohjola, Mikko & Olkkonen, Rami & Koponen, Aki, 2014. "Dynamic capabilities and firm performance in a financial crisis," Journal of Business Research, Elsevier, vol. 67(1), pages 2707-2719.
    7. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    8. Ricarda B. Bouncken & Christian Lehmann & Katharina Fellnhofer, 2016. "The role of entrepreneurial orientation and modularity for business model innovation in service companies," International Journal of Entrepreneurial Venturing, Inderscience Enterprises Ltd, vol. 8(3), pages 237-260.
    9. Wang, Yichuan & Hajli, Nick, 2017. "Exploring the path to big data analytics success in healthcare," Journal of Business Research, Elsevier, vol. 70(C), pages 287-299.
    10. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    11. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, September.
    12. Jose Benitez & Ana Castillo & Javier Llorens & Jessica Braojos, 2018. "IT-enabled knowledge ambidexterity and innovation performance in small U.S. firms: The moderator role of social media capability," Post-Print hal-01998044, HAL.
    13. Sidney G. Winter & Gabriel Szulanski, 2001. "Replication as Strategy," Organization Science, INFORMS, vol. 12(6), pages 730-743, December.
    14. Ghasemaghaei, Maryam & Calic, Goran, 2019. "Does big data enhance firm innovation competency? The mediating role of data-driven insights," Journal of Business Research, Elsevier, vol. 104(C), pages 69-84.
    15. Akbar, Payam & Mai, Robert & Hoffmann, Stefan, 2016. "When do materialistic consumers join commercial sharing systems," Journal of Business Research, Elsevier, vol. 69(10), pages 4215-4224.
    16. Christian Arnold & Daniel Kiel & Kai-Ingo Voigt, 2016. "How The Industrial Internet Of Things Changes Business Models In Different Manufacturing Industries," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-25, December.
    17. Wiklund, Johan & Shepherd, Dean, 2005. "Entrepreneurial orientation and small business performance: a configurational approach," Journal of Business Venturing, Elsevier, vol. 20(1), pages 71-91, January.
    18. C Eden & F Ackermann, 2000. "Mapping distinctive competencies: a systemic approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(1), pages 12-20, January.
    19. 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.
    20. Skarmeas, Dionysis & Leonidou, Constantinos N. & Saridakis, Charalampos, 2014. "Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 67(9), pages 1796-1805.
    21. Afonso, Carolina & Silva, Graça Miranda & Gonçalves, Helena Martins & Duarte, Margarida, 2018. "The role of motivations and involvement in wine tourists' intention to return: SEM and fsQCA findings," Journal of Business Research, Elsevier, vol. 89(C), pages 313-321.
    22. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    23. Mazzei, Matthew J. & Noble, David, 2017. "Big data dreams: A framework for corporate strategy," Business Horizons, Elsevier, vol. 60(3), pages 405-414.
    24. Teece, David J., 2016. "Dynamic capabilities and entrepreneurial management in large organizations: Toward a theory of the (entrepreneurial) firm," European Economic Review, Elsevier, vol. 86(C), pages 202-216.
    25. Izabella V. Lokshina & Cees J.M. Lanting & Barbara J. Durkin, 2018. "IoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunities," International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, vol. 9(3), pages 34-52, July.
    26. Ilias O. Pappas & Patrick Mikalef & Michail N. Giannakos & John Krogstie & George Lekakos, 2018. "Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies," Information Systems and e-Business Management, Springer, vol. 16(3), pages 479-491, August.
    27. Gregory W. Fischer & Mary Frances Luce & Jianmin Jia, 2000. "Attribute Conflict and Preference Uncertainty: Effects on Judgment Time and Error," Management Science, INFORMS, vol. 46(1), pages 88-103, January.
    28. Mahda Garmaki & Imed Boughzala & Samuel Fosso Wamba, 2016. "The effect of big data analytics capability on firm performance," Grenoble Ecole de Management (Post-Print) hal-01414811, HAL.
    29. Wang, Guangping & Dou, Wenyu & Zhu, Weichun & Zhou, Nan, 2015. "The effects of firm capabilities on external collaboration and performance: The moderating role of market turbulence," Journal of Business Research, Elsevier, vol. 68(9), pages 1928-1936.
    30. George P. Huber, 1991. "Organizational Learning: The Contributing Processes and the Literatures," Organization Science, INFORMS, vol. 2(1), pages 88-115, February.
    31. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    32. Agnes Asemokha & Jackson Musona & Lasse Torkkeli & Sami Saarenketo, 2019. "Business model innovation and entrepreneurial orientation relationships in SMEs: Implications for international performance," Journal of International Entrepreneurship, Springer, vol. 17(3), pages 425-453, September.
    33. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    34. 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.
    35. 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.
    36. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    37. 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.
    38. Braganza, Ashley & Brooks, Laurence & Nepelski, Daniel & Ali, Maged & Moro, Russ, 2017. "Resource management in big data initiatives: Processes and dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 328-337.
    39. Lisboa, Ana & Skarmeas, Dionysis & Saridakis, Charalampos, 2016. "Entrepreneurial orientation pathways to performance: A fuzzy-set analysis," Journal of Business Research, Elsevier, vol. 69(4), pages 1319-1324.
    40. Richard Makadok, 2001. "Toward a synthesis of the resource‐based and dynamic‐capability views of rent creation," Strategic Management Journal, Wiley Blackwell, vol. 22(5), pages 387-401, May.
    41. Farrell, Andrew M., 2010. "Insufficient discriminant validity: A comment on Bove, Pervan, Beatty, and Shiu (2009)," Journal of Business Research, Elsevier, vol. 63(3), pages 324-327, March.
    42. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    43. Sabrina Schneider & Patrick Spieth, 2013. "Business Model Innovation: Towards An Integrated Future Research Agenda," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-34.
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