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Unleashing the power of big data for platform firms: A configuration analysis

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  • Zhen Wang
  • Chunhui Yuan
  • Xiaolong Li

Abstract

This study investigates the impact of big data on platform performance using a multidimensional perspective and the fuzzy set qualitative comparative analysis (fsQCA) method. We identify two pathways for platforms to leverage big data to achieve performance improvement: “volume‐centric configuration” and “volume‐talent synergistic configuration.” Our results indicate that big data volume and talent of big data are the core conditions impacting platform performance, but an increase in these factors does not always equate to an improvement in performance. The study makes two substantial contributions: (1) identifying the configurations of big data that lead to high performance of the platform and illuminating the complex interplay of causality between the multidimensional nature of big data resources and their supporting conditions and (2) measuring the multidimensionality of big data resources in platform firms through the utilization of operational data of the app in question. This study has significant practical implications, providing guidance to platform firms on identifying appropriate big data resources to gain a competitive advantage and utilizing supporting conditions to address deficiencies in data assets.

Suggested Citation

  • Zhen Wang & Chunhui Yuan & Xiaolong Li, 2024. "Unleashing the power of big data for platform firms: A configuration analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 300-314, January.
    • Handle: RePEc:wly:mgtdec:v:45:y:2024:i:1:p:300-314
    DOI: 10.1002/mde.4000
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    1. Kamini Gupta & Donal Crilly & Thomas Greckhamer, 2020. "Stakeholder engagement strategies, national institutions, and firm performance: A configurational perspective," Strategic Management Journal, Wiley Blackwell, vol. 41(10), pages 1869-1900, October.
    2. Yaqoob, Ibrar & Hashem, Ibrahim Abaker Targio & Gani, Abdullah & Mokhtar, Salimah & Ahmed, Ejaz & Anuar, Nor Badrul & Vasilakos, Athanasios V., 2016. "Big data: From beginning to future," International Journal of Information Management, Elsevier, vol. 36(6), pages 1231-1247.
    3. Shengbin Hao & Haili Zhang & Michael Song, 2019. "Big Data, Big Data Analytics Capability, and Sustainable Innovation Performance," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    4. Rialti, Riccardo & Zollo, Lamberto & Ferraris, Alberto & Alon, Ilan, 2019. "Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    5. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
    6. Liu, Weihua & Long, Shangsong & Xie, Dong & Liang, Yanjie & Wang, Jinkun, 2021. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model," International Journal of Production Economics, Elsevier, vol. 231(C).
    7. Krämer, Jan & Wohlfarth, Michael, 2018. "Market power, regulatory convergence, and the role of data in digital markets," Telecommunications Policy, Elsevier, vol. 42(2), pages 154-171.
    8. Ghasemaghaei, Maryam & Calic, Goran, 2020. "Assessing the impact of big data on firm innovation performance: Big data is not always better data," Journal of Business Research, Elsevier, vol. 108(C), pages 147-162.
    9. 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.
    10. Surajit Bag & Shivam Gupta & Ajay Kumar & Uthayasankar Sivarajah, 2021. "An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance," Post-Print hal-03188195, HAL.
    11. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    12. Jean-Sébastien Lacam & David Salvetat, 2023. "Influence of the CEO's personality traits of SME on the orchestration of big data," Post-Print hal-03972993, HAL.
    13. Opresnik, David & Taisch, Marco, 2015. "The value of Big Data in servitization," International Journal of Production Economics, Elsevier, vol. 165(C), pages 174-184.
    14. Alharthi, Abdulkhaliq & Krotov, Vlad & Bowman, Michael, 2017. "Addressing barriers to big data," Business Horizons, Elsevier, vol. 60(3), pages 285-292.
    15. Yong-Hong Kuo & Andrew Kusiak, 2019. "From data to big data in production research: the past and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4828-4853, August.
    16. Dimakopoulos, Philipp & Sudaric, Slobodan, 2018. "Privacy and Platform Competition," Rationality and Competition Discussion Paper Series 67, CRC TRR 190 Rationality and Competition.
    17. Maryam Farboodi & Roxana Mihet & Thomas Philippon & Laura Veldkamp, 2019. "Big Data and Firm Dynamics," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 38-42, May.
    18. Lee, In, 2017. "Big data: Dimensions, evolution, impacts, and challenges," Business Horizons, Elsevier, vol. 60(3), pages 293-303.
    19. Thomas Greckhamer, 2016. "CEO compensation in relation to worker compensation across countries: The configurational impact of country-level institutions," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 793-815, April.
    20. Zeng, Jing & Mahdi Tavalaei, M. & Khan, Zaheer, 2021. "Sharing economy platform firms and their resource orchestration approaches," Journal of Business Research, Elsevier, vol. 136(C), pages 451-465.
    21. Zhou, Zhongsheng & Li, Zhuo, 2023. "Corporate digital transformation and trade credit financing," Journal of Business Research, Elsevier, vol. 160(C).
    22. Choi, Jay Pil & Jeon, Doh-Shin & Kim, Byung-Cheol, 2019. "Privacy and personal data collection with information externalities," Journal of Public Economics, Elsevier, vol. 173(C), pages 113-124.
    23. Subramaniam, Mohan & Iyer, Bala & Venkatraman, Venkat, 2019. "Competing in digital ecosystems," Business Horizons, Elsevier, vol. 62(1), pages 83-94.
    24. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    25. Choi, Hyoung-Yong & Park, Junyoung, 2022. "Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    26. Gao, Qiang & Cheng, Changming & Sun, Guanglin, 2023. "Big data application, factor allocation, and green innovation in Chinese manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    27. Yuming Zhang & Han Liu & Shuang Li & Chao Xing, 2023. "The Digital Transformation Effect in Trade Credit Uptake: The Buyer Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(7), pages 2056-2078, May.
    28. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    29. Imanol Arrieta-Ibarra & Leonard Goff & Diego Jiménez-Hernández & Jaron Lanier & E. Glen Weyl, 2018. "Should We Treat Data as Labor? Moving beyond "Free"," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 38-42, May.
    30. Dimakopoulos, Philipp D. & Sudaric, Slobodan, 2018. "Privacy and platform competition," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 686-713.
    31. Bawack, Ransome Epie & Wamba, Samuel Fosso & Carillo, Kevin Daniel André, 2021. "Exploring the role of personality, trust, and privacy in customer experience performance during voice shopping: Evidence from SEM and fuzzy set qualitative comparative analysis," International Journal of Information Management, Elsevier, vol. 58(C).
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