A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain

Dehshiri, Seyyed Jalaladdin Hosseini; Emamat, Mir Seyed Mohammad Mohsen; Amiri, Maghsoud

doi:10.1016/j.eswa.2022.116826

Cited by 44 publications

(22 citation statements)

References 103 publications

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“…In addition, to study the trend and degree of changes in the indicator layer when a certain criterion layer indicator changes, and to guide decision-makers to make decisions at higher levels, 1000 sampling points were selected for each criterion layer indicator in the aforementioned evaluation system to test its sensitivity. The closer CR is to zero, the better 39 . Perform weight sensitivity analysis on the indicators, and the results are shown in Fig.…”

Section: Weight Determination Methodsmentioning

confidence: 99%

Domain-specific Digital Twin Platforms: Concept, Evaluation Framework and Case Study

Tang,

Zhuang,

Zhang

2024

Preprint

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As digital twin (DT) applications continue to proliferate across diverse industries, a noticeable gap exists in the availability of evaluation methods or frameworks to aid in the selection and development of DT platforms, particularly for Domain-specific application. To address this gap, this paper proposes a comprehensive evaluation framework for DT platforms, with a focus on Domain-specific application. The framework uses the Best-Worst Method and Fuzzy Comprehensive Evaluation method (BWM-FCE) to assess the performance, user experience, and economic effects of DT platforms. The proposed framework is applied to a case study of a high-speed railway DT platform and compared with other evaluation methods (Analytic Hierarchy Process and Best-Worst Method-Set Pair Analysis). The results demonstrate the feasibility and effectiveness of the proposed framework and highlight its potential for guiding the development and selection of DT platforms for Domain-specific applications.

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Section: Weight Determination Methodsmentioning

confidence: 99%

Domain-specific Digital Twin Platforms: Concept, Evaluation Framework and Case Study

Tang,

Zhuang,

Zhang

2024

Preprint

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“…Subotić et al (2020) tried to solve location selection problem with the help of the integrated BWMbased approach. Hosseini Dehshiri et al (2022) proposed a MCDM approach using BWM for assessing the criteria in automotive industry supply chain. Previous results indicated that BWM technique performed better in consistency ratio, conformity, and other indicators.…”

Section: Mcdm Methods About Supplier Selectionmentioning

confidence: 99%

“…It is noteworthy that only the maximum value of group utility is taken into account during the assessment calculation steps of vector or full vector matrices are introduced, wherein the former tries to simplify data collection and the latter wants to provide richer information. However, we can neither check the consistency ratio of a single vector-based comparison matrix nor improve the calculation efficiency since a full vector matrix might ask too many questions and make decision makers confused (Hosseini Dehshiri et al 2022). On the contrary, the BWM can perfectly solve these problems since it simplifies the complexity of data collection and enables clear computation of the consistency of the comparison matrix (Rezaei 2020).…”

Section: Comparative Analysismentioning

confidence: 99%

A multi-criteria decision-making framework for electric vehicle supplier selection of government agencies and public bodies in China

Wei

Chao

2022

Environ Sci Pollut Res

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Electric vehicle deployment shows promising potentials in promoting cleaner energy utilization and reducing carbon emission. Due to increasing carbon neutral pressure and market competition from transportation sector, government agencies and public bodies (GAPBs) have emphasized the significance of electric vehicle adoption through supplier selection. Consequently, GAPBs must consider a reasonable criteria system and a comprehensive supplier selection framework and rationally select the electric vehicle supplier that matches their practical needs in terms of economic, social, environmental, and technical factors. This paper provides insights into electric vehicle supplier selection (EVSS) from the perspective of GAPBs using an integrated multi-criteria decision-making (MCDM) framework based on best-worst method (BWM) and fuzzy ViseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR). Initially, 14 critical factors from economic, social, environmental, and technical dimensions are identified as the criteria by literature review and experts' opinions. Then, a comprehensive decision framework using the integrated MCDM approach is proposed. To validate the applicability and feasibility of the proposed framework, a case study is launched and analyzed. It emerges that bad environmental record, cost, quality, service, and environmental initiatives are the most important criteria in EVSS for GAPBs with the weight values of 0.1995, 0.1172, 0.1219, 0.0708, and 0.2553. The comparative analysis and the sensitivity analysis are performed for verifying the reliability of the proposed framework. The work helps to understand the electric vehicle supplier selection criteria and makes methodological decision-making support for GAPBs.

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“…Nonetheless, research into its practical applications in the industry has been done, and it has been recognized as an innovation with the potential to significantly alter the current state of the industry (Nawari and Ravindran, 2019). This is because BT is distinguished by its verifiability (Xie et al , 2019), sharability (Shojaei et al , 2020), traceability (Hosseini et al , 2022), programmability (Paul, 2021), decentralization (Hosseini et al , 2022) and anonymity (Li, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is widely believed that the construction industry is highly fragmented (Xu et al, 2022), even though it is a key contributor to economic growth in every country (Abdul-Rashid and Hassan, 2005;Watt, 2020;Mohammed and Alharthi, 2022). The industry is notorious for its low performance, resistance to change (Xu et al, 2022) and failure to meet the expectations of its stakeholders (Hosseini et al, 2022). The construction industry's reputation for conservatism stems from its resistance to change (Kim et al, 2020), the growing problems of a skills gap (Chen et al, 2018) and a lack of technological advancements within the field (Shemov et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the drivers to the implementation of blockchain technology in the construction supply chain management in Nigeria

Okanlawon,

Oyewobi,

Jimoh

2023

JFMPC

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Purpose Blockchain technology (BT) is a relatively new technological innovation in all industries, including the construction industry, that is used to improve supply chain management. Therefore, this study assesses the drivers for the implementation of BT in the construction supply chain management in Nigeria. Design/methodology/approach This study used a quantitative research approach, with a questionnaire survey administered to professionals in the Nigerian construction industry using the snowball sampling method, yielding 155 respondents. The collected data were analysed using descriptive and exploratory factor analysis (EFA) while Cronbach’s alpha was used to evaluate the reliability. Findings The analysis revealed that all the identified drivers ranked higher than the average mean item score, with level of awareness of the new technology and data management ranking topmost. The identified drivers were clustered into five categories using EFA: technological driver, social-economic driver, management driver, transparency and security driver and information driver. Research limitations/implications This research was carried out in the Southwestern region which is one of the six geo-political zones in Nigeria using a cross-sectional survey method. Practical implications The findings will be extremely useful to both professionals and practitioners in the Nigerian construction industry in gaining knowledge about the potential drivers to the implementation of BT in construction supply chain management. Originality/value The research categorized the drivers into technological, social-economic, management, transparency and security and information driver. It also identified that level of awareness of BT as the major driver in the implementation of BT in construction supply chain management.

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A novel group BWM approach to evaluate the implementation criteria of blockchain technology in the automotive industry supply chain

Cited by 44 publications

References 103 publications

Domain-specific Digital Twin Platforms: Concept, Evaluation Framework and Case Study

Domain-specific Digital Twin Platforms: Concept, Evaluation Framework and Case Study

A multi-criteria decision-making framework for electric vehicle supplier selection of government agencies and public bodies in China

Evaluation of the drivers to the implementation of blockchain technology in the construction supply chain management in Nigeria

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