IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v350y2025i2d10.1007_s10479-023-05733-4.html
   My bibliography  Save this article

Interplay between absorptive capacity, analytics competence and sustainable economic performance of MSMEs in supply chain: the mediating role of risk resilience

Author

Listed:
  • Ruchi Mishra

    (Institute of Rural Management, Anand (IRMA))

  • Rajesh Kr Singh

    (Management Development Institute (MDI))

  • Jose Arturo Garza-Reyes

    (The University of Derby)

Abstract

This paper aims to assess the effects of absorptive capacity and analytics competence on sustainable economic performance. Data is gathered from 237 micro, small and medium enterprises (MSMEs) to examine the relationship between the research constructs using the structural equation modelling approach. The study supports the hypothesis that absorptive capacity directly affects sustainable economic performance and indirectly influences sustainable economic performance through risk resilience. On the other hand, analytics competence positively influences risk resilience but does not affect sustainable economic performance. The study adds to the body of knowledge by demonstrating the mediating role of risk resilience in absorptive capacity and sustainable economic performance relationships. Findings also indicate that risk resilience can be enhanced by developing absorptive capacity and analytics competencies in firms. The study discusses valuable implications for practitioners and scholars working in the field of risk resilience and analytics competence.

Suggested Citation

  • Ruchi Mishra & Rajesh Kr Singh & Jose Arturo Garza-Reyes, 2025. "Interplay between absorptive capacity, analytics competence and sustainable economic performance of MSMEs in supply chain: the mediating role of risk resilience," Annals of Operations Research, Springer, vol. 350(2), pages 853-877, July.
    • Handle: RePEc:spr:annopr:v:350:y:2025:i:2:d:10.1007_s10479-023-05733-4
    DOI: 10.1007/s10479-023-05733-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-023-05733-4
    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/s10479-023-05733-4?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Rameshwar Dubey & Angappa Gunasekaran & David J. Bryde & Yogesh K. Dwivedi & Thanos Papadopoulos, 2020. "Blockchain technology for enhancing swift-trust, collaboration and resilience within a humanitarian supply chain setting," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3381-3398, June.
    2. Larissa Alves Sincorá & Marcos Paulo Valadares de Oliveira & Hélio Zanquetto-Filho & Marcelo Bronzo Ladeira, 2018. "Business analytics leveraging resilience in organizational processes," RAUSP Management Journal, Emerald Group Publishing Limited, vol. 53(3), pages 385-403, July.
    3. Nam, Dalwoo & Lee, Junyeong & Lee, Heeseok, 2019. "Business analytics adoption process: An innovation diffusion perspective," International Journal of Information Management, Elsevier, vol. 49(C), pages 411-423.
    4. Kevin Zhu & Kenneth L. Kraemer, 2002. "e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector," Information Systems Research, INFORMS, vol. 13(3), pages 275-295, September.
    5. Muhammad Idrees Asghar & Haris Aslam & Amer Saeed, 2021. "Linking supply chain professional's competencies to resilience in a turbulent world," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 72(5), pages 1304-1320, November.
    6. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    7. Ziad Alkalha & Zu'bi M.F. Al-Zu'bi & Saad Zighan, 2021. "Investigating the impact of absorptive capacity on operational performance: the mediating role of supply chain resilience," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 14(3), pages 306-329.
    8. 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.
    9. Dmitry Ivanov & Alexandre Dolgui & Boris Sokolov, 2019. "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Taylor & Francis Journals, vol. 57(3), pages 829-846, February.
    10. Kostopoulos, Konstantinos & Papalexandris, Alexandros & Papachroni, Margarita & Ioannou, George, 2011. "Absorptive capacity, innovation, and financial performance," Journal of Business Research, Elsevier, vol. 64(12), pages 1335-1343.
    11. Lai-Wan Wong & Garry Wei-Han Tan & Voon-Hsien Lee & Keng-Boon Ooi & Amrik Sohal, 2020. "Unearthing the determinants of Blockchain adoption in supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2100-2123, April.
    12. Khayer, Abul & Talukder, Md. Shamim & Bao, Yukun & Hossain, Md. Nahin, 2020. "Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach," Technology in Society, Elsevier, vol. 60(C).
    13. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    14. Lin, Hsiu-Fen, 2014. "Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework," Technological Forecasting and Social Change, Elsevier, vol. 86(C), pages 80-92.
    15. Birger Wernerfelt, 1984. "A resource‐based view of the firm," Strategic Management Journal, Wiley Blackwell, vol. 5(2), pages 171-180, April.
    16. Gupta, Himanshu & Yadav, Avinash Kumar & Kusi-Sarpong, Simonov & Khan, Sharfuddin Ahmed & Sharma, Shashi Chandra, 2022. "Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic," Technology in Society, Elsevier, vol. 69(C).
    17. Yuan Zhou & Meijuan Pan & Frauke Urban, 2018. "Comparing the International Knowledge Flow of China’s Wind and Solar Photovoltaic (PV) Industries: Patent Analysis and Implications for Sustainable Development," Sustainability, MDPI, vol. 10(6), pages 1-34, June.
    18. 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.
    19. Christina W.Y. Wong & Chee Yew Wong & Sakun Boon‐itt, 2018. "How Does Sustainable Development of Supply Chains Make Firms Lean, Green and Profitable? A Resource Orchestration Perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 27(3), pages 375-388, March.
    20. Gao, Shijia & Yeoh, William & Wong, Siew Fan & Scheepers, Rens, 2017. "A literature analysis of the use of Absorptive Capacity construct in IS research," International Journal of Information Management, Elsevier, vol. 37(2), pages 36-42.
    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. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    2. Abdullah Kaid Al-Swidi & Mohammed A Al-Hakimi & Hussam Al Halbusi & Jaithen Abdullah Al Harbi & Hamood Mohammed Al-Hattami, 2024. "Does blockchain technology matter for supply chain resilience in dynamic environments? The role of supply chain integration," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-22, January.
    3. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    4. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    5. Zheng, Handong & Ye, Xin & Chen, Rongsheng & Chen, Yi, 2025. "Resilient high-end equipment manufacturing supply chain design with irreplaceable suppliers: An IFTOPSIS-MOMIP hybrid model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 195(C).
    6. Dominik Oehlschläger & Andreas H. Glas & Michael Eßig, 2024. "How Digital Twins Impact Responsiveness: A Dynamic Fit Approach to Information Processing for High-Involvement Product Demand Management," Schmalenbach Journal of Business Research, Springer, vol. 76(4), pages 661-706, December.
    7. Amine Belhadi & Venkatesh Mani & Sachin S. Kamble & Syed Abdul Rehman Khan & Surabhi Verma, 2024. "Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: an empirical investigation," Annals of Operations Research, Springer, vol. 333(2), pages 627-652, February.
    8. Mahak Sharma & Rose Antony & Konstantinos Tsagarakis, 2025. "Green, resilient, agile, and sustainable fresh food supply chain enablers: evidence from India," Annals of Operations Research, Springer, vol. 347(1), pages 13-39, April.
    9. Rizwan Manzoor & B. S. Sahay & Sujeet Kumar Singh, 2025. "Blockchain technology in supply chain management: an organizational theoretic overview and research agenda," Annals of Operations Research, Springer, vol. 348(3), pages 1307-1354, May.
    10. 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).
    11. Mehrbakhsh Nilashi & Abdullah M. Baabdullah & Rabab Ali Abumalloh & Keng-Boon Ooi & Garry Wei-Han Tan & Mihalis Giannakis & Yogesh K. Dwivedi, 2025. "How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?," Annals of Operations Research, Springer, vol. 348(3), pages 1649-1690, May.
    12. Qader, Ghulam & Junaid, Muhammad & Abbas, Qamar & Mubarik, Muhammad Shujaat, 2022. "Industry 4.0 enables supply chain resilience and supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    13. Soumyadeb Chowdhury & Oscar Rodriguez-Espindola & Prasanta Dey & Pawan Budhwar, 2023. "Blockchain technology adoption for managing risks in operations and supply chain management: evidence from the UK," Annals of Operations Research, Springer, vol. 327(1), pages 539-574, August.
    14. Tiwari, Sunil & Sharma, Pankaj & Jha, Ashish Kumar, 2024. "Digitalization & Covid-19: An institutional-contingency theoretic analysis of supply chain digitalization," International Journal of Production Economics, Elsevier, vol. 267(C).
    15. Mehrbakhsh Nilashi & Abdullah Baabdullah & Rabab Ali Abumalloh & Keng-Boon Ooi & Garry Wei-Han Tan & Mihalis Giannakis & Yogesh Dwivedi, 2023. "How can big data and predictive analytics impact the performance and competitive advantage of the food waste and recycling industry?," Post-Print hal-05081422, HAL.
    16. Qiansong Zhang & Yingying Zhang & Taiwen Feng, 2024. "Impacts of paradox cognition and organizational unlearning on supply chain resilience: a perspective of paradox theory," Operations Management Research, Springer, vol. 17(3), pages 1022-1038, September.
    17. Guo, Hailan & Shen, Zhen & Chen, Yanting & Dong, Ming, 2025. "Analyzing the impact of government R&D subsidy and digital transformation on supply chain risk dynamics management and firm performance in the China's chip industry," International Journal of Production Economics, Elsevier, vol. 281(C).
    18. Chen, Guangren & Yu, Zuwei, 2024. "Digital finance, value cocreation, and supply chain resilience: Evidence from listed manufacturing firms in China," Finance Research Letters, Elsevier, vol. 70(C).
    19. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.
    20. David T. W. Wong & Eric W. T. Ngai, 2025. "The effects of analytics capability and sensing capability on operations performance: the moderating role of data-driven culture," Annals of Operations Research, Springer, vol. 350(2), pages 781-816, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:annopr:v:350:y:2025:i:2:d:10.1007_s10479-023-05733-4. 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.