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Big Data Capability and Sustainable Competitive Advantage: The Mediating Role of Ambidextrous Innovation Strategy

Author

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  • Zhengang Zhang

    (School of Business Administration, South China University of Technology, Guangzhou 510641, China
    Guangzhou Institute of Digital Innovation, Guangzhou 510641, China)

  • Yu Shang

    (School of Business Administration, South China University of Technology, Guangzhou 510641, China)

  • Linyuan Cheng

    (School of Public Administration, South China University of Technology, Guangzhou 510641, China)

  • Antao Hu

    (School of Business Administration, South China University of Technology, Guangzhou 510641, China)

Abstract

After the rapid expansion of data variety, velocity and volume, human civilization experienced rapid changes in the period between the “IT” and “Data” ages. Researchers view big data and data capability as new sustainable competitive advantages that enhance the sustainability of organizational development. This paper aims to develop and empirically test a framework that will investigate how big data capability is achieved through exploitative, explorative and ambidextrous modes of innovation strategies, and will also explore how they can, in turn, build firms’ sustainable competitive advantage. Using data from surveys of 229 respondents working in Chinese manufacturing firms, we test the framework using regression and bootstrapped mediation analyses. It also shows how big data capability will make firms more inclined to implement exploitative innovation strategy and construct sustainable competitive advantage, as opposed to explorative innovation strategy; when viewed from an ambidextrous perspective, combined dimension of ambidextrous innovation strategy is found to partially mediate between big data capability and sustainable competitive advantage while balanced dimension of ambidextrous innovation strategy does not. The conclusions are of great significance because they will help firms to deal with challenges that arise in big data applications and digital transformation. The findings offer new insight into the strategic choices of organizational innovations.

Suggested Citation

  • Zhengang Zhang & Yu Shang & Linyuan Cheng & Antao Hu, 2022. "Big Data Capability and Sustainable Competitive Advantage: The Mediating Role of Ambidextrous Innovation Strategy," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8249-:d:856714
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    as
    1. Soetanto, Danny & Jack, Sarah, 2016. "The impact of university-based incubation support on the innovation strategy of academic spin-offs," Technovation, Elsevier, vol. 50, pages 25-40.
    2. Lin, Canchu & Kunnathur, Anand, 2019. "Strategic orientations, developmental culture, and big data capability," Journal of Business Research, Elsevier, vol. 105(C), pages 49-60.
    3. Robert E. Morgan & Pierre Berthon, 2008. "Market Orientation, Generative Learning, Innovation Strategy and Business Performance Inter‐Relationships in Bioscience Firms," Journal of Management Studies, Wiley Blackwell, vol. 45(8), pages 1329-1353, December.
    4. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    5. 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.
    6. Michael Song & Haili Zhang & Jinjin Heng, 2020. "Creating Sustainable Innovativeness through Big Data and Big Data Analytics Capability: From the Perspective of the Information Processing Theory," Sustainability, MDPI, vol. 12(5), pages 1-23, March.
    7. Zi-Lin He & Poh-Kam Wong, 2004. "Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis," Organization Science, INFORMS, vol. 15(4), pages 481-494, August.
    8. Hongjia Ma & Qing Sun & Yang Gao & Yuan Gao, 2019. "Resource Integration, Reconfiguration, and Sustainable Competitive Advantages: The Differences between Traditional and Emerging Industries," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    9. 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).
    10. Youn Kue Na & Sungmin Kang & Hye Yeon Jeong, 2019. "The Effect of Market Orientation on Performance of Sharing Economy Business: Focusing on Marketing Innovation and Sustainable Competitive Advantage," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    11. M. Shakaib Akram & M. Awais Shakir Goraya & Aneela Malik & Amer M. Aljarallah, 2018. "Organizational Performance and Sustainability: Exploring the Roles of IT Capabilities and Knowledge Management Capabilities," Sustainability, MDPI, vol. 10(10), pages 1-20, October.
    12. 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.
    13. Changyue Luo & Dongli Zhang & Biao Luo & Jiajia Ge, 2017. "Ambidextrous Strategy and Firm Performance: The Moderating Effects of Organizational Slack and Organizational Life Cycle," Business and Management Studies, Redfame publishing, vol. 3(4), pages 1-11, December.
    14. Zhi Chen & Shenglan Huang & Chong Liu & Min Min & Liying Zhou, 2018. "Fit between Organizational Culture and Innovation Strategy: Implications for Innovation Performance," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    15. Robert R. Wiggins & Timothy W. Ruefli, 2002. "Sustained Competitive Advantage: Temporal Dynamics and the Incidence and Persistence of Superior Economic Performance," Organization Science, INFORMS, vol. 13(1), pages 81-105, February.
    16. 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.
    17. Shamim, Saqib & Zeng, Jing & Shafi Choksy, Umair & Shariq, Syed Muhammad, 2020. "Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level," International Business Review, Elsevier, vol. 29(6).
    18. Qing Cao & Eric Gedajlovic & Hongping Zhang, 2009. "Unpacking Organizational Ambidexterity: Dimensions, Contingencies, and Synergistic Effects," Organization Science, INFORMS, vol. 20(4), pages 781-796, August.
    19. 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).
    20. Shirish Jeble & Rameshwar Dubey & Stephen J. Childe & Thanos Papadopoulos & David Roubaud & Anand Prakash, 2018. "Impact of big data and predictive analytics capability on supply chain sustainability," Post-Print hal-02061341, HAL.
    21. Lee, Jeoung Yul & Xiao, Shufeng(Simon) & Choi, Byungchul, 2021. "Unpacking the drivers of emerging market firms’ international joint venture formation: The interplay between technological innovation strategies and home- and host-institutional pressures," Journal of Business Research, Elsevier, vol. 134(C), pages 378-392.
    22. Ching-Hsun Chang, 2011. "The Influence of Corporate Environmental Ethics on Competitive Advantage: The Mediation Role of Green Innovation," Journal of Business Ethics, Springer, vol. 104(3), pages 361-370, December.
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    2. Sultan Alaswad Alenazi & Tawfeeq Mohammed Alanazi, 2023. "The Mediating Role of Sustainable Dynamic Capabilities in the Effect of Social Customer Relationship Management on Sustainable Competitive Advantage: A Study on SMEs in Saudi Arabia," Sustainability, MDPI, vol. 15(3), pages 1-12, January.
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    5. Guixiang Cao & Xintong Fang & Ying Chen & Jinghuai She, 2023. "Regional Big Data Application Capability and Firm Green Technology Innovation," Sustainability, MDPI, vol. 15(17), pages 1-29, August.

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