IDEAS home Printed from https://ideas.repec.org/a/spr/intemj/v21y2025i1d10.1007_s11365-024-01051-8.html
   My bibliography  Save this article

Evaluating digital maturity in specialized enterprises: a multi-criteria decision-making approach

Author

Listed:
  • Yanmin Zhu

    (Zhejiang Business Technology Institute)

  • Huanyu Wan

    (Ningbo University)

  • Llopis-Albert Carlos

    (Universitat Politècnica de València (UPV))

  • Junhong Ye

    (Zhejiang College, Shanghai University of Finance and Economics)

  • Shouzhen Zeng

    (Ningbo University
    Zhejiang Gongshang University)

Abstract

As the digital economy rapidly evolves and enterprise digital transformation progresses further, specialization, refinement, differential, and innovation (SRDI) enterprises are facing new requirements and challenges. High levels of digital maturity are critical for the success of enterprises. Therefore, effectively assessing the digital maturity of SRDI enterprises is a problem that must be addressed. This study develops a multi-criteria decision-making model to evaluate the digital maturity of SRDI enterprises in complex situations. First, an integrated weighting model that combines the best–worst method with the entropy model is presented. Second, by combining the traditional evaluation based on the distance from the average solution with a single-valued neutrosophic set, a novel multi-criteria decision-making framework including an integrated weights approach is constructed, and its main computing steps are described in detail. Third, a case study of the proposed method in the digital maturity of SRDI enterprises level evaluation is explored based on the constructed evaluation index system. Finally, a numerical example of SRDI enterprises in five cities of China is designed. The assessment methodology and conclusion of the development level of SRDI enterprises for digital maturity proposed in this study provide a theoretical reference and practical inspiration for public administration departments and related enterprises.

Suggested Citation

  • Yanmin Zhu & Huanyu Wan & Llopis-Albert Carlos & Junhong Ye & Shouzhen Zeng, 2025. "Evaluating digital maturity in specialized enterprises: a multi-criteria decision-making approach," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-22, December.
    • Handle: RePEc:spr:intemj:v:21:y:2025:i:1:d:10.1007_s11365-024-01051-8
    DOI: 10.1007/s11365-024-01051-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11365-024-01051-8
    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/s11365-024-01051-8?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. Roman Teichert, 2019. "Digital Transformation Maturity: A Systematic Review of Literature," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(6), pages 1673-1687.
    2. Qiuqin He & Carlos Lassala & Rosa Currás-Móstoles, 2024. "Can family CEOs promote enterprises’ digital transformation? An analysis based on ability-willingness paradox," International Entrepreneurship and Management Journal, Springer, vol. 20(4), pages 3181-3205, December.
    3. André Hanelt & René Bohnsack & David Marz & Cláudia Antunes Marante, 2021. "A Systematic Review of the Literature on Digital Transformation: Insights and Implications for Strategy and Organizational Change," Journal of Management Studies, Wiley Blackwell, vol. 58(5), pages 1159-1197, July.
    4. Ziliang Deng & Xufei Ma & Ziyan Zhu, 2022. "Transactional Dependence and Technological Upgrading in Global Value Chains," Journal of Management Studies, Wiley Blackwell, vol. 59(2), pages 390-416, March.
    5. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    6. Jarosław Brodny & Magdalena Tutak, 2021. "Assessing the level of digital maturity of enterprises in the Central and Eastern European countries using the MCDM and Shannon’s entropy methods," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-38, July.
    7. Shouzhen Zeng & Dandan Luo & Chonghui Zhang & Xingsen Li, 2020. "A Correlation-Based TOPSIS Method for Multiple Attribute Decision Making with Single-Valued Neutrosophic Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 343-358, February.
    8. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    9. Dongsheng Xu & Xiangxiang Cui & Huaxiang Xian, 2020. "An Extended EDAS Method with a Single-Valued Complex Neutrosophic Set and Its Application in Green Supplier Selection," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
    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. Fatih Gurcan & Gizem Dilan Boztas & Gonca Gokce Menekse Dalveren & Mohammad Derawi, 2023. "Digital Transformation Strategies, Practices, and Trends: A Large-Scale Retrospective Study Based on Machine Learning," Sustainability, MDPI, vol. 15(9), pages 1-23, May.
    2. Bora Ly, 2024. "The Interplay of Digital Transformational Leadership, Organizational Agility, and Digital Transformation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4408-4427, March.
    3. Titov Sergei & Trachuk Arkady & Linder Natalya & RD Pathak & Danny Samson & Zafar Husain & S Sushil, 2023. "Digital transformation enablers in high-tech and low-tech companies: A comparative analysis," Australian Journal of Management, Australian School of Business, vol. 48(4), pages 801-843, November.
    4. Pinto, Marcelo Rezende & Salume, Paula Karina & Barbosa, Marcelo Werneck & de Sousa, Paulo Renato, 2023. "The path to digital maturity: A cluster analysis of the retail industry in an emerging economy," Technology in Society, Elsevier, vol. 72(C).
    5. Marcello Cosa & Riccardo Torelli, 2024. "Digital Transformation and Flexible Performance Management: A Systematic Literature Review of the Evolution of Performance Measurement Systems," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 25(3), pages 445-466, September.
    6. Jinqiu He & Huiwen Su, 2022. "Digital Transformation and Green Innovation of Chinese Firms: The Moderating Role of Regulatory Pressure and International Opportunities," IJERPH, MDPI, vol. 19(20), pages 1-21, October.
    7. Rizvi, Syed Kumail Abbas & Rahat, Birjees & Naqvi, Bushra & Umar, Muhammad, 2024. "Revolutionizing finance: The synergy of fintech, digital adoption, and innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    8. Ding, Jiantao & Yin, Yingkai & Kuang, Jinsong & Ding, Dezhi & Madsen, Dag.Øivind & Yang, Kunyu, 2024. "The impact of enterprise digital transformation on financial mismatch: Empirical evidence from listed companies in China," Finance Research Letters, Elsevier, vol. 66(C).
    9. Deist, Maximilian K. & McDowell, William C. & Bouncken, Ricarda B., 2023. "Digital units and digital innovation: Balancing fluidity and stability for the Creation, Conversion, and Dissemination of sticky knowledge," Journal of Business Research, Elsevier, vol. 161(C).
    10. Long Xu & Yunsheng Zhou & Liang Chen, 2024. "Digital Transformation and Breakthrough Innovation in Chinese Manufacturing Firms: Based on Ability-Motivation-Opportunity (AMO) Framework of Human Capital," SAGE Open, , vol. 14(3), pages 21582440241, July.
    11. Piepponen, Amanda & Ritala, Paavo & Keränen, Joona & Maijanen, Päivi, 2022. "Digital transformation of the value proposition: A single case study in the media industry," Journal of Business Research, Elsevier, vol. 150(C), pages 311-325.
    12. Weber, Ellen & Büttgen, Marion & Bartsch, Silke, 2022. "How to take employees on the digital transformation journey: An experimental study on complementary leadership behaviors in managing organizational change," Journal of Business Research, Elsevier, vol. 143(C), pages 225-238.
    13. Thomson, Linus & Sjödin, David & Parida, Vinit & Jovanovic, Marin, 2023. "Conceptualizing business model piloting: An experiential learning process for autonomous solutions," Technovation, Elsevier, vol. 126(C).
    14. Changwei Pang & Qiong Wang, 2024. "How Digital Transformation Promotes Disruptive Innovation? Evidence from Chinese Entrepreneurial Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7788-7818, June.
    15. Mete, Suleyman & Yucesan, Melih & Gul, Muhammet & Ozceylan, Eren, 2023. "An integrated hybrid MCDM approach to evaluate countries’ COVID-19 risks," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    16. Daliborka Witschel & Julian Marius Müller & Kai-Ingo Voigt, 2023. "What Takes the Wind out of Their Sails? A Micro-Foundational Perspective of Challenges for Building Dynamic Capabilities Towards Digital Business Model Innovation," Schmalenbach Journal of Business Research, Springer, vol. 75(3), pages 345-388, September.
    17. Shao, Yanmin & Xu, Kunliang & Shan, Yuan George, 2024. "Leveraging corporate digitalization for green technology innovation: The mediating role of resource endowments," Technovation, Elsevier, vol. 133(C).
    18. Chen, Xuanyu & Yang, Na, 2024. "How does business environment affect firm digital transformation: A fsQCA study based on Chinese manufacturing firms," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1114-1124.
    19. Wang, Sai & Wen, Wen & Niu, Yuhao & Li, Xin, 2024. "Digital transformation and corporate labor investment efficiency," Emerging Markets Review, Elsevier, vol. 59(C).
    20. Raghu Nandan Chawla & Praveen Goyal & Deepak Kumar Saxena, 2023. "The role of CIO in digital transformation: an exploratory study," Information Systems and e-Business Management, Springer, vol. 21(4), pages 797-835, December.

    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:intemj:v:21:y:2025:i:1:d:10.1007_s11365-024-01051-8. 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.