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    Identifying Digital Transformation Barriers in Small and Medium-Sized Construction Enterprises: A Multi-criteria Perspective
    (Springer, 2024) Chen, Zhen-Song; Lu, Jing-Yi; Wang, Xian-Jia; Pedrycz, Witold
    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.
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    Optimized decision support for BIM maturity assessment
    (Elsevier, 2023) Chen, Zhen-Song; Zhou, Meng-Die; Chin, Kwai-Sang; Darko, Amos; Wang, Xian-Jia; Pedrycz, Witold
    Building information modeling (BIM) maturity models occupy a crucial role in guiding BIM-reliant stakeholders and enterprises to identify BIM capabilities and facilitate process improvements. Nevertheless, few quantitative BIM maturity models are available for the measurement and improvement of BIM utilization performance. This study designs a refined assessment system for the maturity measurement of BIM-based projects during the design and construction stages. The advocated BIM maturity model combines a probability distribution function aggregation paradigm and a large-scale group decision-making framework to provide an expert-based assessment system for evaluating project-based BIM performance. The case study of the Corning Gen 10.5 glass substrate production line workshop in Wuhan demonstrates the feasibility and effectiveness of the proposed model. This paper establishes a generalizable structural framework that can potentially facilitate BIM maturity analysis in a portfolio of projects or the industry as a whole and will generate fresh insight into designing quantitative BIM maturity models across various contexts.
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    Requirement-driven sustainable supplier selection: creating an integrated perspective with stakeholders' interests and the wisdom of expert crowds
    (Elsevier Ltd, 2023) Chang, Jian-Peng; Chen, Zhen-Song; Wang, Xian-Jia; Martínez, Luis; Pedrycz, Witold; Skibniewski, Miros?aw
    Driven by the pressure from various stakeholders to embrace sustainability and from the market to enhance competitiveness, more and more companies have been committed to conducting sustainable supplier selection (SSS). SSS is a requirement-driven multi-criteria decision-making (MCDM) problem and the existing literatures have attempted to integrate quality function deployment (QFD) with various MCDM methods to model the problem. However, these models have not conducted SSS based on stakeholders’ satisfaction from alternatives, and used the weights of criteria obtained from stakeholders’ preferences for requirements, which is used to model the compensation among satisfaction levels of different requirements, to guide the compensation among alternatives’ performances on different criteria. In order to address these deficiencies, this paper develops a novel generalized (QFD)-based MCDM structure for SSS, based on which we further design a QFD-based multi-stakeholders and multi-experts MCDM model considering stakeholders’ consensus of interest and wisdom of expert crowds. Firstly, multiple stakeholder groups with multiple participants in each one are asked to output their expectations and preferences for their own requirements; within each group, the algorithm for consensus reaching process (CRP) is designed to formulate the acceptable collective expectations, and the best worst method (BWM) method integrated with an algorithm for consistency improving process (CIP) and an algorithm for CRP is developed to weight requirements. Secondly, multiple experts use basic uncertain linguistic information (BULI) to characterize performances of alternatives on criteria and relationship between requirements and criteria, and a method of weighting individual judgements with the capability of drawing on wisdom of crowds (WOC) while accommodating organizers’ trust level in reliability given by experts is used to facilitate formulating collective judgements. Thirdly, for each alternative and each requirement of each stakeholder group, we can quantify the comprehensive performance of the alternative on the requirement with the help of QFD, based on which and the group's expectation we can use the value function of prospect theory to quantify the group's satisfaction of the requirement from the alternative; aggregating the weighted satisfaction levels of requirements gives rise to the comprehensive satisfaction level of each group from each alternative; and then the Maximin decision rule is introduced to rank alternatives because of its ability of accommodating the non-compensation among different stakeholder groups. Finally, a case study is conducted to investigate the validity and effectiveness of the proposed model. © 2022 Elsevier Ltd