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Exploring the Relationship between Data Analytics Capability and Competitive Advantage: The Mediating Roles of Supply Chain Resilience and Organization Flexibility

Author

Listed:
  • Ghazal Rezaei

    (Department of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran)

  • Seyed Mohammad Hassan Hosseini

    (Department of Industrial Engineering and Management, Shahrood University of Technology, Shahrood 3619995161, Iran)

  • Shib Sankar Sana

    (Department of Mathematics, Kishore Bharati Bhagini Nivedita College, Ramkrishna Sarani, Kolkata 700060, India)

Abstract

In today’s business environment, data analytics capability has gained popularity among organizations as a source of competitive advantage. Furthermore, due to the current business outsourcing, supply chain management is known to be an extremely challenging task. Most previous studies focused on the relationship between data analytics capability and competitive advantage regardless of the role of organizational characteristics, particularly supply chain resilience. This paper aimed to assess the impact of data analytics capability on competitive advantage in the textile industry concerning the mediating role of supply chain resilience and organizational flexibility. To this end, a new conceptual model was developed to investigate the relationships and partial least squares–structural equation modeling (PLS-SEM) was applied for analysis. The population of this study comprised 450 qualified persons and four well-known brands of sleep products. In addition, a pilot survey was conducted with 30 respondents before the questionnaire was used for the final survey. Based on the results, data analytics capability positively affected competitive advantage, supply chain resilience, and organizational flexibility. Additionally, supply chain resilience and organizational flexibility played mediating roles in the relationship between data analytics capability and competitive advantage. Finally, some management insights are presented that are of interest to top managers. However, the results of this study were limited to the area of the textile industry (sleeping goods manufacturers) in Iran in order to maintain the uniformity of the research constructs.

Suggested Citation

  • Ghazal Rezaei & Seyed Mohammad Hassan Hosseini & Shib Sankar Sana, 2022. "Exploring the Relationship between Data Analytics Capability and Competitive Advantage: The Mediating Roles of Supply Chain Resilience and Organization Flexibility," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10444-:d:894732
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    References listed on IDEAS

    as
    1. Jin, Yan & Vonderembse, Mark & Ragu-Nathan, T.S. & Smith, Joy Turnheim, 2014. "Exploring relationships among IT-enabled sharing capability, supply chain flexibility, and competitive performance," International Journal of Production Economics, Elsevier, vol. 153(C), pages 24-34.
    2. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    3. Chuu, Shian-Jong, 2011. "Interactive group decision-making using a fuzzy linguistic approach for evaluating the flexibility in a supply chain," European Journal of Operational Research, Elsevier, vol. 213(1), pages 279-289, August.
    4. Kamalahmadi, Masoud & Parast, Mahour Mellat, 2016. "A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 116-133.
    5. Li, Da-yuan & Liu, Juan, 2014. "Dynamic capabilities, environmental dynamism, and competitive advantage: Evidence from China," Journal of Business Research, Elsevier, vol. 67(1), pages 2793-2799.
    6. Brusset, Xavier & Teller, Christoph, 2017. "Supply chain capabilities, risks, and resilience," International Journal of Production Economics, Elsevier, vol. 184(C), pages 59-68.
    7. Akter, Shahriar & Gunasekaran, Angappa & Wamba, Samuel Fosso & Babu, Mujahid Mohiuddin & Hani, Umme, 2020. "Reshaping competitive advantages with analytics capabilities in service systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    8. Ozdemir, Dilek & Sharma, Mahak & Dhir, Amandeep & Daim, Tugrul, 2022. "Supply chain resilience during the COVID-19 pandemic," Technology in Society, Elsevier, vol. 68(C).
    9. Fan, Huan & Li, Gang & Sun, Hongyi & Cheng, T.C.E., 2017. "An information processing perspective on supply chain risk management: Antecedents, mechanism, and consequences," International Journal of Production Economics, Elsevier, vol. 185(C), pages 63-75.
    10. Ravi Srinivasan & Morgan Swink, 2018. "An Investigation of Visibility and Flexibility as Complements to Supply Chain Analytics: An Organizational Information Processing Theory Perspective," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1849-1867, October.
    11. Miri Kim & Jaeki Song & Jason Triche, 2015. "Toward an integrated framework for innovation in service: A resource-based view and dynamic capabilities approach," Information Systems Frontiers, Springer, vol. 17(3), pages 533-546, June.
    12. Henk W. Volberda, 1996. "Toward the Flexible Form: How to Remain Vital in Hypercompetitive Environments," Organization Science, INFORMS, vol. 7(4), pages 359-374, August.
    13. Afraz, Muhammad Fawad & Bhatti, Sabeen Hussain & Ferraris, Alberto & Couturier, Jerome, 2021. "The impact of supply chain innovation on competitive advantage in the construction industry: Evidence from a moderated multi-mediation model," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    14. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    15. Maury, Benjamin, 2018. "Sustainable competitive advantage and profitability persistence: Sources versus outcomes for assessing advantage," Journal of Business Research, Elsevier, vol. 84(C), pages 100-113.
    16. Sawik, Tadeusz, 2013. "Selection of resilient supply portfolio under disruption risks," Omega, Elsevier, vol. 41(2), pages 259-269.
    17. Zeplin Jiwa Husada Tarigan & Hotlan Siagian & Ferry Jie, 2021. "Impact of Internal Integration, Supply Chain Partnership, Supply Chain Agility, and Supply Chain Resilience on Sustainable Advantage," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    18. 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.
    19. Shah, Tushar R., 2022. "Can big data analytics help organisations achieve sustainable competitive advantage? A developmental enquiry," Technology in Society, Elsevier, vol. 68(C).
    20. 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.
    21. Baoshan Ge & Yibing Yang & Dake Jiang & Yang Gao & Xiaomin Du & Tingting Zhou, 2018. "An Empirical Study on Green Innovation Strategy and Sustainable Competitive Advantages: Path and Boundary," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    22. Michael O’Neill & Anthony Brabazon, 2019. "Business analytics capability, organisational value and competitive advantage," Journal of Business Analytics, Taylor & Francis Journals, vol. 2(2), pages 160-173, July.
    23. Yu, Wantao & Zhao, Gen & Liu, Qi & Song, Yongtao, 2021. "Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
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