IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p2689-d1363462.html
   My bibliography  Save this article

The Influence of Digital Transformation on the Reconfigurability and Performance of Supply Chains: A Study of the Electronic, Machinery, and Home Appliance Manufacturing Industries in China

Author

Listed:
  • Limin Zhang

    (School of Management Engineering, Capital University of Economics and Business, Beijing 100083, China
    Logistics School, Beijing Wuzi University, Beijing 101126, China)

  • Fei Gu

    (School of Management Engineering, Capital University of Economics and Business, Beijing 100083, China
    Logistics School, Beijing Wuzi University, Beijing 101126, China)

  • Mingke He

    (Business School, Beijing Technology and Business University, Beijing 100048, China)

Abstract

In this era of intense global competition, supply chains are facing challenges in coping with emerging market issues. Within diverse industries worldwide, supply chains are experiencing accelerated reconfiguration, with one of the most notable transformations being the digitalization of supply chain operations. But the literature lacks empirical evidence about how digital transformation effectively contributes to it. Thus, this paper delves into the implications of the supply chain digital transformation (SCDT) and supply chain reconfigurability (SCR) on its overall performance. Cross-sectional data from 379 respondents in the machinery, electronics, and home appliance manufacturing industries were collected through a closed questionnaire. Utilizing a hybrid approach involving the Partial Least Squares Structural Equation Model (PLS-SEM) and fuzzy-set Qualitative Comparative Analysis (fsQCA), this study employs a cross-validation of the conceptual model. Initially, the PLS-SEM is employed to unveil the direct impact of SCDT on supply chain performance (SCP), as well as the intermediary effect of SCR. Building on this foundation, the fsQCA method is further utilized to investigate the configuration paths that enable enterprises to achieve high SCP under the combined influence of SCR and SCDT. The research results affirm the significant influence of SCDT on SCP. Likewise, the findings highlight the crucial intermediary role of SCR between SCDT and SCP. Ultimately, three distinct configurations driving high supply chain performance are identified: technical, management, and flexible configurations, each playing a unique role.

Suggested Citation

  • Limin Zhang & Fei Gu & Mingke He, 2024. "The Influence of Digital Transformation on the Reconfigurability and Performance of Supply Chains: A Study of the Electronic, Machinery, and Home Appliance Manufacturing Industries in China," Sustainability, MDPI, vol. 16(7), pages 1-22, March.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2689-:d:1363462
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/2689/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/7/2689/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tridas Mukhopadhyay & Sunder Kekre, 2002. "Strategic and Operational Benefits of Electronic Integration in B2B Procurement Processes," Management Science, INFORMS, vol. 48(10), pages 1301-1313, October.
    2. G. Behzadi & M.J. O’Sullivan & T.L. Olsen & A. Zhang, 2018. "Allocation flexibility for agribusiness supply chains under market demand disruption," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3524-3546, May.
    3. Dixit, Vijaya & Verma, Priyanka & Tiwari, Manoj Kumar, 2020. "Assessment of pre and post-disaster supply chain resilience based on network structural parameters with CVaR as a risk measure," International Journal of Production Economics, Elsevier, vol. 227(C).
    4. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    5. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    6. Jakki Mohr & Robert Spekman, 1994. "Characteristics of partnership success: Partnership attributes, communication behavior, and conflict resolution techniques," Strategic Management Journal, Wiley Blackwell, vol. 15(2), pages 135-152, February.
    7. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    8. Chang, Shuchih Ernest & Chen, Yi-Chian & Lu, Ming-Fang, 2019. "Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 1-11.
    9. 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.
    10. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.
    11. Zhai, Huayun & Yang, Min & Chan, Kam C., 2022. "Does digital transformation enhance a firm's performance? Evidence from China," Technology in Society, Elsevier, vol. 68(C).
    12. Navin K. Dev & Ravi Shankar & Angappa Gunasekaran & Lakshman S. Thakur, 2016. "A hybrid adaptive decision system for supply chain reconfiguration," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 7100-7114, December.
    13. Tao Zhang & Zhan-Zhong Shi & Yi-Rong Shi & Neng-Jun Chen, 2022. "Enterprise digital transformation and production efficiency: mechanism analysis and empirical research," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 2781-2792, December.
    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. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    2. Vanpoucke, E. & Boyer, K. & Vereecke, A., 2009. "Supply chain information flow strategies: an empirical taxonomy," Vlerick Leuven Gent Management School Working Paper Series 2009-03, Vlerick Leuven Gent Management School.
    3. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael & Önkal, Dilek, 2019. "Judgmental adjustments through supply integration for strategic partnerships in food chains," Omega, Elsevier, vol. 87(C), pages 20-33.
    4. Li Cui & Hao Wu & Lin Wu & Ajay Kumar & Kim Hua Tan, 2023. "Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19," Annals of Operations Research, Springer, vol. 327(2), pages 825-853, August.
    5. Zur, Andrew & Leckie, Civilai & Webster, Cynthia M., 2012. "Cognitive and affective trust between Australian exporters and their overseas buyers," Australasian marketing journal, Elsevier, vol. 20(1), pages 73-79.
    6. Maria Ripollés & Andreu Blesa, 2020. "And yet, non-equity cooperative entries do improve international performance: uncovering the role of networks’ social capital," Small Business Economics, Springer, vol. 55(3), pages 761-776, October.
    7. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2022. "Managing knowledge in Indian Organizations: An empirical investigation to examine the moderating role of jugaad," Journal of Business Research, Elsevier, vol. 141(C), pages 26-39.
    8. Artz, Kendall W. & Brush, Thomas H., 2000. "Asset specificity, uncertainty and relational norms: an examination of coordination costs in collaborative strategic alliances," Journal of Economic Behavior & Organization, Elsevier, vol. 41(4), pages 337-362, April.
    9. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    10. Kim, Dong W. & Trimi, Silvana & Hong, Soon G. & Lim, Seongbae, 2020. "Effects of co-creation on organizational performance of small and medium manufacturers," Journal of Business Research, Elsevier, vol. 109(C), pages 574-584.
    11. Kim, Yusoon & Choi, Thomas Y., 2021. "Supplier relationship strategies and outcome dualities: An empirical study of embeddedness perspective," International Journal of Production Economics, Elsevier, vol. 232(C).
    12. Rizaldi Yusfiarto & Septy Setia Nugraha & Galuh Tri Pambekti & Annes Nisrina Khoirunnisa, 2023. "Building loyalty in Islamic banking relationship: a multiple mediation approach empirically in Indonesia," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(2), pages 306-320, June.
    13. Ludwig Bstieler & Martin Hemmert, 2010. "Trust formation in Korean new product alliances: How important are pre-existing social ties?," Asia Pacific Journal of Management, Springer, vol. 27(2), pages 299-319, June.
    14. M. Isabel Sánchez-Hernández & Tomás M. Bañegil-Palacios & Ramón Sanguino-Galván, 2017. "Competitive Success in Responsible Regional Ecosystems: An Empirical Approach in Spain Focused on the Firms’ Relationship with Stakeholders," Sustainability, MDPI, vol. 9(3), pages 1-18, March.
    15. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Pereira, Vijay, 2022. "Examining the industrial buying behavior in Indian market: From behavior and cultural perspective for B2B buyers and suppliers," Journal of Business Research, Elsevier, vol. 151(C), pages 86-99.
    16. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    17. Hausman, Angela & Stock, James R., 2003. "Adoption and implementation of technological innovations within long-term relationships," Journal of Business Research, Elsevier, vol. 56(8), pages 681-686, August.
    18. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    19. Tendai Douglas Svotwa & Olumide Jaiyeoba & Mornay Roberts-Lombard & Charles Makanyeza, 2022. "Perceived Access to Finance, Entrepreneurial Self-Efficacy, Attitude Toward Entrepreneurship, Entrepreneurial Ability, and Entrepreneurial Intentions: A Botswana Youth Perspective," SAGE Open, , vol. 12(2), pages 21582440221, May.
    20. Astrachan, Claudia Binz & Patel, Vijay K. & Wanzenried, Gabrielle, 2014. "A comparative study of CB-SEM and PLS-SEM for theory development in family firm research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 116-128.

    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:gam:jsusta:v:16:y:2024:i:7:p:2689-:d:1363462. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.