IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v15y2024i1d10.1007_s13132-023-01208-w.html
   My bibliography  Save this article

The Effect of Big Data Capability on Organizational Innovation: a Resource Orchestration Perspective

Author

Listed:
  • Weihong Xie

    (Guangdong University of Technology
    Guangdong University of Technology)

  • Qian Zhang

    (Guangdong University of Technology)

  • Yuyao Lin

    (Guangdong University of Technology)

  • Zhong Wang

    (Guangdong University of Technology)

  • Zhongshun Li

    (Guangdong University of Technology)

Abstract

This paper explores the relationship between big data capability and organizational innovation and the formation mechanism of big data capability based on resource orchestration theory. Data was collected from 179 questionnaires and used to empirically test the model. Our findings suggest that big data resources acquisition capability (BDRA) is conducive to the construction of big data resources integration and utilization (BDRIU) capability and thus can actively promote product innovation. Throughout this process, the big data expected benefits negatively influence the relationship between BDRA capability and product innovation and positively influence the relationship between BDRIU capability and product and business model innovation. In terms of the formation mechanism of big data capabilities, government support has a significant positive impact on the BDRA and BDRIU capabilities. Data governance partially mediates the relationship between government support and big data capabilities.

Suggested Citation

  • Weihong Xie & Qian Zhang & Yuyao Lin & Zhong Wang & Zhongshun Li, 2024. "The Effect of Big Data Capability on Organizational Innovation: a Resource Orchestration Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3767-3791, March.
    • Handle: RePEc:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01208-w
    DOI: 10.1007/s13132-023-01208-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-023-01208-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13132-023-01208-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jeffrey W. Alstete & E. Gregory M. Cannarozzi, 2014. "Big data in managerial decision-making: concerns and concepts to reduce risk," International Journal of Business Continuity and Risk Management, Inderscience Enterprises Ltd, vol. 5(1), pages 57-71.
    2. 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.
    3. Wang, Gang & Gunasekaran, Angappa & Ngai, Eric W.T. & Papadopoulos, Thanos, 2016. "Big data analytics in logistics and supply chain management: Certain investigations for research and applications," International Journal of Production Economics, Elsevier, vol. 176(C), pages 98-110.
    4. Lin, Canchu & Kunnathur, Anand, 2019. "Strategic orientations, developmental culture, and big data capability," Journal of Business Research, Elsevier, vol. 105(C), pages 49-60.
    5. Paul Chwelos & Izak Benbasat & Albert S. Dexter, 2001. "Research Report: Empirical Test of an EDI Adoption Model," Information Systems Research, INFORMS, vol. 12(3), pages 304-321, September.
    6. Yuanzhu Zhan & Kim Hua Tan & Yina Li & Ying Kei Tse, 2018. "Unlocking the power of big data in new product development," Annals of Operations Research, Springer, vol. 270(1), pages 577-595, November.
    7. 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.
    8. 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.
    9. Bingqin Dai & Wenquan Liang, 2022. "The Impact of Big Data Technical Skills on Novel Business Model Innovation Based on the Role of Resource Integration and Environmental Uncertainty," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    10. Clint Chadwick & Janice F. Super & Kiwook Kwon, 2015. "Resource orchestration in practice: CEO emphasis on SHRM, commitment-based HR systems, and firm performance," Strategic Management Journal, Wiley Blackwell, vol. 36(3), pages 360-376, March.
    11. Morris, Michael & Schindehutte, Minet & Allen, Jeffrey, 2005. "The entrepreneur's business model: toward a unified perspective," Journal of Business Research, Elsevier, vol. 58(6), pages 726-735, June.
    12. Christoph Zott & Raphael Amit, 2007. "Business Model Design and the Performance of Entrepreneurial Firms," Organization Science, INFORMS, vol. 18(2), pages 181-199, April.
    13. 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.
    14. Bowyer, Dorothea & Chapman, Ross L., 2014. "Does privatisation drive innovation? Business model innovation through stakeholder viewpoints: the case of Sydney Airport 10 years post-privatisation," Journal of Management & Organization, Cambridge University Press, vol. 20(3), pages 365-386, May.
    15. Zhou, Steven S & Zhou, Abby J & Feng, Junzheng & Jiang, Shisong, 2019. "Dynamic capabilities and organizational performance: The mediating role of innovation," Journal of Management & Organization, Cambridge University Press, vol. 25(5), pages 731-747, September.
    16. Viswanath Venkatesh & Hillol Bala, 2012. "Adoption and Impacts of Interorganizational Business Process Standards: Role of Partnering Synergy," Information Systems Research, INFORMS, vol. 23(4), pages 1131-1157, December.
    17. Vincenzo Morabito, 2015. "Big Data Governance," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 83-104, Springer.
    18. Riggins, Frederick J. & Klamm, Bonnie K., 2017. "Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data," Journal of Accounting Education, Elsevier, vol. 38(C), pages 23-36.
    19. Vincenzo Morabito, 2015. "Big Data and Analytics for Government Innovation," Springer Books, in: Big Data and Analytics, edition 127, chapter 0, pages 23-45, Springer.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huynh, Minh-Tay & Nippa, Michael & Aichner, Thomas, 2023. "Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    2. Balboni, Bernardo & Bortoluzzi, Guido & Pugliese, Roberto & Tracogna, Andrea, 2019. "Business model evolution, contextual ambidexterity and the growth performance of high-tech start-ups," Journal of Business Research, Elsevier, vol. 99(C), pages 115-124.
    3. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    4. Sascha Kraus & Alexander Brem & Miriam Schuessler & Felix Schuessler & Thomas Niemand, 2019. "Innovative Born Globals: Investigating the Influence of Their Business Models on International Performance," World Scientific Book Chapters, in: Alexander Brem & Joe Tidd & Tugrul Daim (ed.), Managing Innovation Internationalization of Innovation, chapter 11, pages 275-328, World Scientific Publishing Co. Pte. Ltd..
    5. Oana Buliga & Christian W. Scheiner & Kai-Ingo Voigt, 2016. "Business model innovation and organizational resilience: towards an integrated conceptual framework," Journal of Business Economics, Springer, vol. 86(6), pages 647-670, August.
    6. 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.
    7. Belussi, Fiorenza & Orsi, Luigi & Savarese, Maria, 2019. "Mapping Business Model Research: A Document Bibliometric Analysis," Scandinavian Journal of Management, Elsevier, vol. 35(3).
    8. Elias Carayannis & Stavros Sindakis & Christian Walter, 2015. "Business Model Innovation as Lever of Organizational Sustainability," The Journal of Technology Transfer, Springer, vol. 40(1), pages 85-104, February.
    9. Matthias Filser & Sascha Kraus & Matthias Breier & Ioanna Nenova & Kaisu Puumalainen, 2021. "Business model innovation: Identifying foundations and trajectories," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 891-907, February.
    10. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "Towards a business analytics capability for the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    12. 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.
    13. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
    14. Marco Cucculelli & Valentina Peruzzi, 2020. "Post-crisis firm survival, business model changes, and learning: evidence from the Italian manufacturing industry," Small Business Economics, Springer, vol. 54(2), pages 459-474, February.
    15. Andreja Pucihar & Gregor Lenart & Mirjana Kljajić Borštnar & Doroteja Vidmar & Marjeta Marolt, 2019. "Drivers and Outcomes of Business Model Innovation—Micro, Small and Medium-Sized Enterprises Perspective," Sustainability, MDPI, vol. 11(2), pages 1-17, January.
    16. Cinzia Battistella & Gianluca Murgia & Fabio Nonino, 2021. "Free-driven web-based business models," Electronic Commerce Research, Springer, vol. 21(2), pages 445-486, June.
    17. Amandine Maus & Sylvie Sammut, 2018. "Business model innovation in incubators: the role played by dynamic capabilities theory," Post-Print hal-02466175, HAL.
    18. Wüstenhagen, Rolf & Menichetti, Emanuela, 2012. "Strategic choices for renewable energy investment: Conceptual framework and opportunities for further research," Energy Policy, Elsevier, vol. 40(C), pages 1-10.
    19. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    20. Esben Rahbek Gjerdrum Pedersen & Wencke Gwozdz & Kerli Kant Hvass, 2018. "Exploring the Relationship Between Business Model Innovation, Corporate Sustainability, and Organisational Values within the Fashion Industry," Journal of Business Ethics, Springer, vol. 149(2), pages 267-284, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jknowl:v:15:y:2024:i:1:d:10.1007_s13132-023-01208-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.