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Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms

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  • Shamim, Saqib
  • Zeng, Jing
  • Khan, Zaheer
  • Zia, Najam Ul

Abstract

This study examines the role of big data contractual and relational governance in big data decision-making performance of firms based in China. It investigates the mediation of big data analytics (BDA) capability in the association of contractual and relational governance with decision-making performance. Furthermore, moderating role of data-driven culture in the relationship of BDA capability and decision-making performance is examined. Data are collected from 108 Chinese firms engaged in big data-related activities. Structural equation modeling is employed to test the hypotheses. This study contributes towards the literature on big data management and governance mechanisms, by establishing the relationship of decision-making performance with big data contractual and relational governance directly and through the mediation of BDA capabilities. It also contributes towards knowledge based dynamic capabilities (KBDCs) view of firms, arguing that dynamic capabilities such as BDA capabilities can be influenced through knowledge sources and activities. We add to the discussions on whether contractual and relational governance are alternatives or they complement each other, by establishing the moderating role of big data relational governance in the relationship of contractual governance and decision-making performance. Finally, we argue that social capital can enhance KBDCs through contractual and relational governance in big data context.

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  • 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).
    • Handle: RePEc:eee:tefoso:v:161:y:2020:i:c:s0040162520311410
    DOI: 10.1016/j.techfore.2020.120315
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    1. Germann, Frank & Lilien, Gary L. & Fiedler, Lars & Kraus, Matthias, 2014. "Do Retailers Benefit from Deploying Customer Analytics?," Journal of Retailing, Elsevier, vol. 90(4), pages 587-593.
    2. Amankwah-Amoah, Joseph, 2016. "Emerging economies, emerging challenges: Mobilising and capturing value from big data," MPRA Paper 85625, University Library of Munich, Germany.
    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. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    5. Jie Wu, 2013. "Diverse Institutional Environments and Product Innovation of Emerging Market Firms," Management International Review, Springer, vol. 53(1), pages 39-59, February.
    6. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    7. van den Broek, Tijs & van Veenstra, Anne Fleur, 2018. "Governance of big data collaborations: How to balance regulatory compliance and disruptive innovation," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 330-338.
    8. 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.
    9. 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.
    10. Amankwah-Amoah, Joseph, 2016. "Emerging economies, emerging challenges: Mobilising and capturing value from big data," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 167-174.
    11. Amankwah-Amoah, Joseph & Hinson, Robert E., 2019. "Contextual influences on new technology ventures: A study of domestic firms in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 289-296.
    12. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
    13. 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.
    14. Kathleen M. Eisenhardt & Jeffrey A. Martin, 2000. "Dynamic capabilities: what are they?," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1105-1121, October.
    15. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    16. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    17. 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.
    18. Prashant Kale & Harbir Singh & Howard Perlmutter, 2000. "Learning and protection of proprietary assets in strategic alliances: building relational capital," Strategic Management Journal, Wiley Blackwell, vol. 21(3), pages 217-237, March.
    19. Paul S. Adler, 2001. "Market, Hierarchy, and Trust: The Knowledge Economy and the Future of Capitalism," Organization Science, INFORMS, vol. 12(2), pages 215-234, April.
    20. 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.
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