IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v15y2024i4d10.1007_s13132-023-01680-4.html
   My bibliography  Save this article

Identifying Digital Transformation Barriers in Small and Medium-Sized Construction Enterprises: A Multi-criteria Perspective

Author

Listed:
  • Zhen-Song Chen

    (Wuhan University)

  • Jing-Yi Lu

    (Wuhan University)

  • Xian-Jia Wang

    (Wuhan University)

  • Witold Pedrycz

    (University of Alberta
    Polish Academy of Sciences
    Istinye University)

Abstract

The digitalization of small and medium-sized enterprises within the construction sector is significantly limited as a result of their distinct characteristics. Despite the potential for significant and enlightening research, there has been an inadequate concentration on identifying the factors that impede the rapid progress of digitalization in small and medium-sized construction enterprises (SMCEs). The objective of this study is to examine the barriers hindering the digital transformation of SMCEs and provide a framework for assessing and prioritizing these barriers. Therefore, this research endeavors to design a barrier indicator system specifically tailored to the digital transformation of SMCEs. Based on this, a novel decision support model has been proposed within the context of basic uncertain linguistic information (BULI) by integrating the three-way decision (TWD) model and the consensus reaching process framework. The suggested model adopts the concept of BULI to effectively represent and manage uncertain information. It further offers the BULI-based TWD model, which is designed to categorize the relevance of barriers. In addition, the model suggests the BULI-based minimal adjustment consensus model, which aims to enhance the degree of consensus. The model’s usefulness is confirmed by its application in evaluating barriers to digital transformation in an SMCE located in Wuhan, China. Furthermore, the sensitivity and comparative analyses are conducted to illustrate the benefits of the proposed model in comparison to existing approaches. The proposed model expands upon the existing theory and practical implementation of the TWD method. It also offers a valuable approach for devising a barrier response strategy that can be applied to the digital transformation of SMCEs.

Suggested Citation

  • Zhen-Song Chen & Jing-Yi Lu & Xian-Jia Wang & Witold Pedrycz, 2024. "Identifying Digital Transformation Barriers in Small and Medium-Sized Construction Enterprises: A Multi-criteria Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 15959-15995, December.
  • Handle: RePEc:spr:jknowl:v:15:y:2024:i:4:d:10.1007_s13132-023-01680-4
    DOI: 10.1007/s13132-023-01680-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-023-01680-4
    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/s13132-023-01680-4?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    2. Wu, Zhibin & Xu, Jiuping, 2016. "Managing consistency and consensus in group decision making with hesitant fuzzy linguistic preference relations," Omega, Elsevier, vol. 65(C), pages 28-40.
    3. Veepan Kumar & Prem Vrat & Ravi Shankar, 2021. "A Graph-Theoretic Approach to Evaluate the Intensity of Barriers in the Implementation of Industry 4.0," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 18(08), pages 1-41, December.
    4. Jafari-Sadeghi, Vahid & Amoozad Mahdiraji, Hannan & Alam, Gazi Mahabubul & Mazzoleni, Alberto, 2023. "Entrepreneurs as strategic transformation managers: Exploring micro-foundations of digital transformation in small and medium internationalisers," Journal of Business Research, Elsevier, vol. 154(C).
    5. Dong, Yucheng & Xu, Yinfeng & Li, Hongyi & Feng, Bo, 2010. "The OWA-based consensus operator under linguistic representation models using position indexes," European Journal of Operational Research, Elsevier, vol. 203(2), pages 455-463, June.
    6. Mihalis Giannakis & Chao Luo & Yanbing Ju & Peiwu Dong & Aihua Wang, 2021. "A novel methodology to select sustainable municipal solid waste management scenarios from three-way decisions perspective," Post-Print hal-02991420, HAL.
    7. Cardoza, Guillermo & Fornes, Gaston & Farber, Vanina & Gonzalez Duarte, Roberto & Ruiz Gutierrez, Jaime, 2016. "Barriers and public policies affecting the international expansion of Latin American SMEs: Evidence from Brazil, Colombia, and Peru," Journal of Business Research, Elsevier, vol. 69(6), pages 2030-2039.
    8. Tang, Ming & Liao, Huchang & Xu, Jiuping & Streimikiene, Dalia & Zheng, Xiaosong, 2020. "Adaptive consensus reaching process with hybrid strategies for large-scale group decision making," European Journal of Operational Research, Elsevier, vol. 282(3), pages 957-971.
    9. Labella, Álvaro & Liu, Hongbin & Rodríguez, Rosa M. & Martínez, Luis, 2020. "A Cost Consensus Metric for Consensus Reaching Processes based on a comprehensive minimum cost model," European Journal of Operational Research, Elsevier, vol. 281(2), pages 316-331.
    10. Anastasiia Mazurchenko & Martin Zelenka, 2022. "Employees' Digital Competency Development in the Construction and Automotive Industrial Sectors," Central European Business Review, Prague University of Economics and Business, vol. 2022(1), pages 41-63.
    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. Gong, Zaiwu & Guo, Weiwei & Słowiński, Roman, 2021. "Transaction and interaction behavior-based consensus model and its application to optimal carbon emission reduction," Omega, Elsevier, vol. 104(C).
    2. Mingwei Wang & Decui Liang & Zeshui Xu & Wen Cao, 2022. "Consensus reaching with the externality effect of social network for three-way group decisions," Annals of Operations Research, Springer, vol. 315(2), pages 707-745, August.
    3. Meng, Fanyong & Tang, Jie & An, Qingxian, 2023. "Cooperative game based two-stage consensus adjustment mechanism for large-scale group decision making," Omega, Elsevier, vol. 117(C).
    4. Guo, Weiwei & Gong, Zaiwu & Zhang, Wei-Guo & Xu, Yanxin, 2023. "Minimum cost consensus modeling under dynamic feedback regulation mechanism considering consensus principle and tolerance level," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1279-1295.
    5. Meng, Fan-Yong & Zhao, Deng-Yu & Gong, Zai-Wu & Chu, Jun-Fei & Pedrycz, Witold & Yuan, Zhe, 2024. "Consensus adjustment for multi-attribute group decision making based on cross-allocation," European Journal of Operational Research, Elsevier, vol. 318(1), pages 200-216.
    6. Wu, Zhibin & Huang, Shuai & Xu, Jiuping, 2019. "Multi-stage optimization models for individual consistency and group consensus with preference relations," European Journal of Operational Research, Elsevier, vol. 275(1), pages 182-194.
    7. Zhang, Hengjie & Dong, Yucheng & Chiclana, Francisco & Yu, Shui, 2019. "Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design," European Journal of Operational Research, Elsevier, vol. 275(2), pages 580-598.
    8. Zhi-Jiao Du & Zhi-Xiang Chen & Su-Min Yu, 2021. "Improved Failure Mode and Effect Analysis: Implementing Risk Assessment and Conflict Risk Mitigation with Probabilistic Linguistic Information," Mathematics, MDPI, vol. 9(11), pages 1-20, May.
    9. Wu, Xingli & Liao, Huchang, 2019. "A consensus-based probabilistic linguistic gained and lost dominance score method," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1017-1027.
    10. Weiqiao Liu & Jianjun Zhu & Peide Liu & Peng Wang & Wen Song, 2023. "A Linguistic Cloud-Based Consensus Framework with Three Behavior Classifications Under Trust-Interest Relations," Group Decision and Negotiation, Springer, vol. 32(6), pages 1497-1533, December.
    11. Cheng, Dong & Yuan, Yuxiang & Wu, Yong & Hao, Tiantian & Cheng, Faxin, 2022. "Maximum satisfaction consensus with budget constraints considering individual tolerance and compromise limit behaviors," European Journal of Operational Research, Elsevier, vol. 297(1), pages 221-238.
    12. Tang, Ming & Liao, Huchang, 2024. "Group efficiency and individual fairness tradeoff in making wise decisions," Omega, Elsevier, vol. 124(C).
    13. Geng, Yong & Xiang, Xiaojian & Zhang, Guosheng & Li, Xue, 2024. "Digital transformation along the supply chain: Spillover effects from vertical partnerships," Journal of Business Research, Elsevier, vol. 183(C).
    14. Ying Ji & Yangyun Yuan & Zhisheng Peng, 2024. "A Novel Robust Flexible Minimum Cost Consensus Model with Consensus Granule," Group Decision and Negotiation, Springer, vol. 33(3), pages 441-467, June.
    15. Ying Ji & Huanhuan Li & Huijie Zhang, 2022. "Risk-Averse Two-Stage Stochastic Minimum Cost Consensus Models with Asymmetric Adjustment Cost," Group Decision and Negotiation, Springer, vol. 31(2), pages 261-291, April.
    16. Yejun Xu & Dou Rui & Huimin Wang, 2017. "A dynamically weight adjustment in the consensus reaching process for group decision-making with hesitant fuzzy preference relations," International Journal of Systems Science, Taylor & Francis Journals, vol. 48(6), pages 1311-1321, April.
    17. Tang, Ming & Liao, Huchang, 2021. "Multi-attribute large-scale group decision making with data mining and subgroup leaders: An application to the development of the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    18. Jie Tang & Fanyong Meng, 2024. "An Adaptive Core-Nash Bargaining Game Consensus Mechanism for Group Decision Making," Group Decision and Negotiation, Springer, vol. 33(4), pages 805-837, August.
    19. Meng, Fan-Yong & Gong, Zai-Wu & Pedrycz, Witold & Chu, Jun-Fei, 2023. "Selfish-dilemma consensus analysis for group decision making in the perspective of cooperative game theory," European Journal of Operational Research, Elsevier, vol. 308(1), pages 290-305.
    20. Kaixin Gong & Weimin Ma & Hui Zhang & Mark Goh, 2023. "Heterogeneous Multi-attribute Large-Scale Group Decision-Making Considering Individual Concerns and Information Credibility," Group Decision and Negotiation, Springer, vol. 32(6), pages 1315-1349, 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:jknowl:v:15:y:2024:i:4:d:10.1007_s13132-023-01680-4. 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.