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Since its conception, corporate social responsibility (CSR) has seen continuous growth and become a highly discussed issue. In this paper, we propose an evaluation of how the COVID-19 pandemic could impact CSR applications. The pandemic has provided an opportunity for commerce to move on to being more authentic, to offer genuine CSR applications and to contribute toward dealing with pressing environmental and social issues. Hence, this purpose of the research is to obtain a better understanding of whether the integration of environment, social, corporate governance and economic (ESGE) aspects into CSR strategies can support sustainable development toward more sustainable growth during the COVID-19 pandemic. To meet this challenge, we offer a mixture multiple-criteria decision making (MCDM) model. Very few empirical studies have discussed CSR in the high-tech industry and proposed strategies and planning for ESGE efficiency. Using interviews with experts and a literature review, we identify the elements related to actual practices of the high-tech industry’s appraisal and the integrated MCDM techniques to suggest efficient enhancement models. The best worst method (BWM) and modified VIKOR are implemented to estimate the strategic weights and the gaps of the aspiration value. The results are valuable for classifying the priorities of CSR and are therefore helpful for those who are associated with high-tech industry management, practices and implementation.
Shih-Chia Chang; Ming-Tsang Lu; Mei-Jen Chen; Li-Hua Huang. Evaluating the Application of CSR in the High-Tech Industry during the COVID-19 Pandemic. Mathematics 2021, 9, 1715 .
AMA StyleShih-Chia Chang, Ming-Tsang Lu, Mei-Jen Chen, Li-Hua Huang. Evaluating the Application of CSR in the High-Tech Industry during the COVID-19 Pandemic. Mathematics. 2021; 9 (15):1715.
Chicago/Turabian StyleShih-Chia Chang; Ming-Tsang Lu; Mei-Jen Chen; Li-Hua Huang. 2021. "Evaluating the Application of CSR in the High-Tech Industry during the COVID-19 Pandemic." Mathematics 9, no. 15: 1715.
The effects of green marketing orientations for increasing the competitive advantage and improving the sustainability of the hospitality industry during the COVID-19 pandemic are receiving more attention. As the hospitality industry attempts to assimilate green marketing and move in the path of sustainable development, administrators need to expand their efforts for improving natural environmental orientation (NEO), market orientation, resource orientation, and brand orientation by applying their green marketing orientations to hospitality’s strategies during the COVID-19 pandemic. Only few studies have examined the improvement of green marketing orientations. The objective of the research is to address this issue, applying the methods of fuzzy mixture MCDM (multiple criteria decision-making), with fuzzy decision-making trials and an evaluation laboratory (DEMATEL), and fuzzy DEMATEL-based ANP (fuzzy DANP) to inspect the feedback and interdependent issues among numerous elements/dimensions of green marketing orientations. In an uncertain environment, an empirical case study of the hospitality industry is shown to demonstrate the recommended combined approaches and, finally, to state the best enhancement approaches for administrators. This result shows that the natural environmental orientation is the most important factor.
Chun-Yi Ho; Bi-Huei Tsai; Chiao-Shan Chen; Ming-Tsang Lu. Exploring Green Marketing Orientations toward Sustainability the Hospitality Industry in the COVID-19 Pandemic. Sustainability 2021, 13, 4348 .
AMA StyleChun-Yi Ho, Bi-Huei Tsai, Chiao-Shan Chen, Ming-Tsang Lu. Exploring Green Marketing Orientations toward Sustainability the Hospitality Industry in the COVID-19 Pandemic. Sustainability. 2021; 13 (8):4348.
Chicago/Turabian StyleChun-Yi Ho; Bi-Huei Tsai; Chiao-Shan Chen; Ming-Tsang Lu. 2021. "Exploring Green Marketing Orientations toward Sustainability the Hospitality Industry in the COVID-19 Pandemic." Sustainability 13, no. 8: 4348.
Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.
Shih-Chia Chang; Ming-Tsang Lu; Tzu-Hui Pan; Chiao-Shan Chen. Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry. Life 2021, 11, 310 .
AMA StyleShih-Chia Chang, Ming-Tsang Lu, Tzu-Hui Pan, Chiao-Shan Chen. Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry. Life. 2021; 11 (4):310.
Chicago/Turabian StyleShih-Chia Chang; Ming-Tsang Lu; Tzu-Hui Pan; Chiao-Shan Chen. 2021. "Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry." Life 11, no. 4: 310.
Evaluating Industry 4.0 technology application in small and medium-sized enterprises (SMEs) is an issue that requires a multi-criteria strategy comprising quantitative and qualitative elements. The purpose of this study is to integrate performance estimation of Industry 4.0 technology application using the technology–organization–environment (TOE) framework. Relating TOE to Industry 4.0 technology application evaluation is more multifaceted than other methods and it requires comprehensive analysis. In this study, we applied a multiple-criteria decision-making (MCDM) approach to develop a model which integrates MCDM to perform an assessment that prioritizes the influence weights of Industry 4.0 technology application to SMEs’ factors. Firstly, we carried out a review of the literature and the TOE framework was selected to generate nine elements, along with three aspects used to measure Industry 4.0 technology application in SMEs. Secondly, the approach of the decision-making trial and evaluation laboratory (DEMATEL) was set up using an influence network relations digraph (INRD). The DEMATEL-based analytic network process (DANP) was used to indicate the influence weights linking the above aspects and elements. Lastly, the modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) technique applied influence weights to assess the aspects/elements in the gaps identified and to investigate how to reduce the gaps so as to estimate the application of Industry 4.0 technology by SMEs. The results show that the technology aspect is the most influential factor.
Shih-Chia Chang; Hsu-Hwa Chang; Ming-Tsang Lu. Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach. Mathematics 2021, 9, 414 .
AMA StyleShih-Chia Chang, Hsu-Hwa Chang, Ming-Tsang Lu. Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach. Mathematics. 2021; 9 (4):414.
Chicago/Turabian StyleShih-Chia Chang; Hsu-Hwa Chang; Ming-Tsang Lu. 2021. "Evaluating Industry 4.0 Technology Application in SMEs: Using a Hybrid MCDM Approach." Mathematics 9, no. 4: 414.
This study explores the critical factors influencing sustainable development performance in the electrical wire and cable industry because this industry has potential contributions to sustainability in terms of energy efficiency. Although much previous work identified the factors influencing sustainable development performance, few studies discussed the influential weights of the factors and their interrelationships in this industry from a comprehensive viewpoint. Therefore, this study aims to investigate the feedback and interrelationships among the factors influencing sustainable development performance by an integrated fuzzy multiple attribute decision-making (MADM) approach including fuzzy DEMATEL, fuzzy DANP, and fuzzy modified VIKOR methods. The proposed method can provide guidance to prioritize the influential factors in the improvement strategies for achieving the aspired value of sustainable development performance. This paper applies the proposed method in the Taiwanese electrical wire and cable industry as an empirical study. The outcomes indicate that the environmental aspect should be improved firstly, and top management support is the most significant factor influencing sustainable development performance. Additionally, the finding is useful for identifying the priorities of the factors that offer guidance on allocating limited resources to reduce the performance gaps in the Taiwanese electrical wire and cable industry.
Ming-Tsang Lu; Jung-Fa Tsai; Shig-Ping Shen; Ming-Hua Lin; Yi-Chung Hu. Estimating sustainable development performance in the electrical wire and cable industry: Applying the integrated fuzzy MADM approach. Journal of Cleaner Production 2020, 277, 122440 .
AMA StyleMing-Tsang Lu, Jung-Fa Tsai, Shig-Ping Shen, Ming-Hua Lin, Yi-Chung Hu. Estimating sustainable development performance in the electrical wire and cable industry: Applying the integrated fuzzy MADM approach. Journal of Cleaner Production. 2020; 277 ():122440.
Chicago/Turabian StyleMing-Tsang Lu; Jung-Fa Tsai; Shig-Ping Shen; Ming-Hua Lin; Yi-Chung Hu. 2020. "Estimating sustainable development performance in the electrical wire and cable industry: Applying the integrated fuzzy MADM approach." Journal of Cleaner Production 277, no. : 122440.
This study explores the implementation of legal artificial intelligence (AI) robot issues for sustainable development related to legal advisory institutions. While a legal advisory AI Bot using the unique arithmetic method of AI offers rules of convenient legal definitions, it has not been established whether users are ready to use one at legal advisory institutions. This study applies the MCDM (multicriteria decision-making) model DEMATEL (decision-making trial and evaluation laboratory)-based Analytical Network Process (ANP) with a modified VIKOR, to explore user behavior on the implementation of a legal AI bot. We first apply DEMATEL-based ANP, called influence weightings of DANP (DEMATEL-based ANP), to set up the complex adoption strategies via systematics and then to employ an M-VIKOR method to determine how to reduce any performance gaps between the ideal values and the existing situation. Lastly, we conduct an empirical case to show the efficacy and usefulness of this recommended integrated MCDM model. The findings are useful for identifying the priorities to be considered in the implementation of a legal AI bot and the issues related to enhancing its implementation process. Moreover, this research offers an understanding of users’ behaviors and their actual needs regarding a legal AI bot at legal advisory institutions. This research obtains the following results: (1) It effectively assembles a decision network of technical improvements and applications of a legal AI bot at legal advisory institutions and explains the feedbacks and interdependences of aspects/factors in real-life issues. (2) It describes how to vary effective results from the current alternative performances and situations into ideal values in order to fit the existing environments at legal advisory institutions with legal AI bot implementation.
Juin-Hao Ho; Gwo-Guang Lee; Ming-Tsang Lu. Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions. Sustainability 2020, 12, 5991 .
AMA StyleJuin-Hao Ho, Gwo-Guang Lee, Ming-Tsang Lu. Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions. Sustainability. 2020; 12 (15):5991.
Chicago/Turabian StyleJuin-Hao Ho; Gwo-Guang Lee; Ming-Tsang Lu. 2020. "Exploring the Implementation of a Legal AI Bot for Sustainable Development in Legal Advisory Institutions." Sustainability 12, no. 15: 5991.
With the growing prevalence of mobile devices, the use of near-field communication (NFC) technology has increased constantly in recent years. Scholars expect NFC technology to be used to develop new campuses with sustainable education environments for safely transferring information or services. In campuses, the decisions to adopt NFC technology considers multiple attribute decision making (MADM) problems, which require multicriteria decision analysis that in turn involves the feedback and interdependence effects among criteria/dimensions. This paper proposes an improvement model that could facilitate NFC technology promotion for creating the sustainable education environment in a campus (Kainan University of Taiwan). Furthermore, in this model, the interdependence and feedback effects among criteria/dimensions, optimal alternative selections, and systematic improvements for NFC technology promotion can be addressed by using a hybrid modified MADM model, which integrating the decision making trial and evaluation laboratory (DEMATEL) method, the DEMATEL-based analytic network process (DANP) method and the modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method. Finally, an empirical case for improving NFC technology promotion in the context of creating the sustainable education environment is presented to prove the proposed model. The results revealed that government policy was the largest driver in NFC technology promotion and the most influential criterion for creating the sustainable education environment, and that alternative C (educational institution) should be the first improvement priority. Furthermore, the comparative results revealed that the proposed method is better than the traditional method because using hybrid modified MADM model can obtain the most realistic performance-gap to innovation and determine the most effective improvement plan towards achieving the aspiration value.
Shu-Kung Hu; James J. H. Liou; Ming-Tsang Lu; Yen-Ching Chuang; Gwo-Hshiung Tzeng. Improving NFC Technology Promotion for Creating the Sustainable Education Environment by Using a Hybrid Modified MADM Model. Sustainability 2018, 10, 1379 .
AMA StyleShu-Kung Hu, James J. H. Liou, Ming-Tsang Lu, Yen-Ching Chuang, Gwo-Hshiung Tzeng. Improving NFC Technology Promotion for Creating the Sustainable Education Environment by Using a Hybrid Modified MADM Model. Sustainability. 2018; 10 (5):1379.
Chicago/Turabian StyleShu-Kung Hu; James J. H. Liou; Ming-Tsang Lu; Yen-Ching Chuang; Gwo-Hshiung Tzeng. 2018. "Improving NFC Technology Promotion for Creating the Sustainable Education Environment by Using a Hybrid Modified MADM Model." Sustainability 10, no. 5: 1379.
Although the electronic health record (EHR) is a promising innovation in the healthcare industry, the implementation of EHR has been relatively slow. A theoretical structure for the exploration and improvement of this usage of EHR is proposed. Incorporating the theoretical structure of TOE (technology-organization-environment), we apply the DEMATEL (decision-making trial and evaluation laboratory) technique to illustrate the influence-matrix and to construct the INRM (influential network relationship map). Based on this DEMATEL influence matrix and the fundamental concepts of ANP (Analytic Hierarchy Process), we derive influential weights for the criteria. These influential weights are then combined with the modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) method to find ways to understand and enhance the usage of EHR technology. The outcome demonstrates that our model can not only be used for implementation of EHR technology, but can also be applied to analyze the gaps in performance between the aspiration level and present performance values in individual criterion/dimension.
James J. H. Liou; Ming-Tsang Lu; Shu-Kung Hu; Chia-Hua Cheng; Yen-Ching Chuang. A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs. Sustainability 2017, 9, 1819 .
AMA StyleJames J. H. Liou, Ming-Tsang Lu, Shu-Kung Hu, Chia-Hua Cheng, Yen-Ching Chuang. A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs. Sustainability. 2017; 9 (10):1819.
Chicago/Turabian StyleJames J. H. Liou; Ming-Tsang Lu; Shu-Kung Hu; Chia-Hua Cheng; Yen-Ching Chuang. 2017. "A Hybrid MCDM Model for Improving the Electronic Health Record to Better Serve Client Needs." Sustainability 9, no. 10: 1819.
Mobile banking services are one of the most promising recent technological innovations. In this study, we developed a conceptual model to explore mobile banking services for user behavior in the financial banking industry in intention adoption. The aim of this study is to explore the effect of user behavior and guidance on the mobile banking services intention adoption structure model among customers based on decomposed theory of planned behavior and trust-related behaviors based on the knowledge of experts. In this study, we use a new hybrid model, the multiple attribute decision making (MADM) model, which combines decision making trial and evaluation laboratory (DEMATEL) for building an influential network relationship map (INRM), DANP (DEMATEL-based ANP) for determining the influential weights of criteria, and the VIKOR method using the influential weights to evaluate and integrate the criteria in the gaps and reduce the gaps to satisfy the users’ behavior needs based on INRM. An empirical case of Taiwan’s financial banking industry is used as an example to demonstrate the application of the proposed hybrid MADM model and its efficiency. In the results, we find that the proposed user behavior framework can offer a deeper understanding of the variables/criteria that influence the interrelationship for the intention adoption of mobile banking services by DEMATEL technique. We can also combine the influential weights of DANP with weighting gaps using the VIKOR method to evaluate how to reduce these gaps and provide the best improvement strategies to satisfy the mobile banking services for users’ behavior needs.
Ming-Tsang Lu; Gwo-Hshiung Tzeng; Hilary Cheng; Chih-Cheng Hsu. Exploring mobile banking services for user behavior in intention adoption: using new hybrid MADM model. Service Business 2014, 9, 541 -565.
AMA StyleMing-Tsang Lu, Gwo-Hshiung Tzeng, Hilary Cheng, Chih-Cheng Hsu. Exploring mobile banking services for user behavior in intention adoption: using new hybrid MADM model. Service Business. 2014; 9 (3):541-565.
Chicago/Turabian StyleMing-Tsang Lu; Gwo-Hshiung Tzeng; Hilary Cheng; Chih-Cheng Hsu. 2014. "Exploring mobile banking services for user behavior in intention adoption: using new hybrid MADM model." Service Business 9, no. 3: 541-565.
Ming-Tsang Lu; Gwo-Hshiung Tzeng; Shu-Kung Hu; Yung-Chang Lin. Evaluating Business-to-Business M-Commerce in SMEs By Using MCDM Approach. 2013, 1 .
AMA StyleMing-Tsang Lu, Gwo-Hshiung Tzeng, Shu-Kung Hu, Yung-Chang Lin. Evaluating Business-to-Business M-Commerce in SMEs By Using MCDM Approach. . 2013; ():1.
Chicago/Turabian StyleMing-Tsang Lu; Gwo-Hshiung Tzeng; Shu-Kung Hu; Yung-Chang Lin. 2013. "Evaluating Business-to-Business M-Commerce in SMEs By Using MCDM Approach." , no. : 1.