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Enhancing organizational sustainable innovation performance through organizational readiness for big data analytics

Author

Listed:
  • Muhammad Arshad

    (Yunnan University of Finance and Economics)

  • Aneela Qadir

    (Guangzhou Huashang College)

  • Waqar Ahmad

    (University of Central Punjab)

  • Muhammad Rafique

    (Xian Jiaotong University Xian)

Abstract

Organizations must employ big data analytics to maintain sustained innovation in the highly dynamic and evolving business landscape. Even though BDA has a transformative power to revolutionize how businesses do things and engage with their customers’ adopting BDA has faced significant challenges, especially in developing countries. This research aims to create a theoretical framework to understand how organizational readiness for BDA can influence sustainable innovation performance. Sampling errors were mitigated through a time-lagged study design, and the data was collected in three phases. The test results using Partial Least Squares Structural Equation Modeling show that organizational readiness is a critical mediator, establishing a robust chain between BDA skills and sustainable innovation performance. The results of this study imply the need for organizational foundation and alignment, which are critical to the compelling strategic deployment of BDA for sustainability innovation performance. Thus, this study can offer a valuable contribution to this topic in the future and a profound implication of the phenomenon at receptive stages.

Suggested Citation

  • Muhammad Arshad & Aneela Qadir & Waqar Ahmad & Muhammad Rafique, 2024. "Enhancing organizational sustainable innovation performance through organizational readiness for big data analytics," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03424-4
    DOI: 10.1057/s41599-024-03424-4
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    1. Hemlata Gangwar, 2018. "Understanding the Determinants of Big Data Adoption in India: An Analysis of the Manufacturing and Services Sectors," Information Resources Management Journal (IRMJ), IGI Global, vol. 31(4), pages 1-22, October.
    2. Yen, Yu-Xiang & Yen, Shang-Yung, 2012. "Top-management's role in adopting green purchasing standards in high-tech industrial firms," Journal of Business Research, Elsevier, vol. 65(7), pages 951-959.
    3. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    4. Pasquale Del Vecchio & Gioconda Mele & Valentina Ndou & Giustina Secundo, 2018. "Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    5. Aboelmaged, Mohamed Gamal, 2014. "Predicting e-readiness at firm-level: An analysis of technological, organizational and environmental (TOE) effects on e-maintenance readiness in manufacturing firms," International Journal of Information Management, Elsevier, vol. 34(5), pages 639-651.
    6. Yu-Shan Chen & Shyh-Bao Lai & Chao-Tung Wen, 2006. "The Influence of Green Innovation Performance on Corporate Advantage in Taiwan," Journal of Business Ethics, Springer, vol. 67(4), pages 331-339, September.
    7. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    8. Nuno Queiroz & Nicolas E. Humphries & Ana Couto & Marisa Vedor & Ivo Costa & Ana M. M. Sequeira & Gonzalo Mucientes & António M. Santos & Francisco J. Abascal & Debra L. Abercrombie & Katya Abrantes &, 2021. "Reply to: Caution over the use of ecological big data for conservation," Nature, Nature, vol. 595(7866), pages 20-28, July.
    9. 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.
    10. Maroufkhani, Parisa & Tseng, Ming-Lang & Iranmanesh, Mohammad & Ismail, Wan Khairuzzaman Wan & Khalid, Haliyana, 2020. "Big data analytics adoption: Determinants and performances among small to medium-sized enterprises," International Journal of Information Management, Elsevier, vol. 54(C).
    11. Abraham Carmeli, 2005. "Exploring determinants of job involvement: an empirical test among senior executives," International Journal of Manpower, Emerald Group Publishing Limited, vol. 26(5), pages 457-472, July.
    12. 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.
    13. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    14. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    15. Chien-Lung Chan & Chi-Chang Chang, 2022. "Big Data, Decision Models, and Public Health," IJERPH, MDPI, vol. 19(14), pages 1-9, July.
    16. Haklae Kim, 2019. "Analysis of standard vocabulary use of the open government data: the case of the public data portal of Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1611-1622, May.
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