DEMATEL-based Analytic Network Process Research Articles

An Empirical Study of Sustainable Development Model for Recreational Fishery Based on Multiple Perspectives

ABSTRACTTo analyze the sustainable development of recreational fisheries, this study constructs an evaluation model by employing resource‐based theory, service‐dominant logic, and consumer value cocreation. Data are collected using a questionnaire survey of offshore platform operators, government officials, and scholars with expertise in tourism, leisure, and recreation. Furthermore, the decision‐making trial and evaluation laboratory (DEMATEL) and DEMATEL‐based analytic network process (DANP) methods are adopted to evaluate the causal relationships between the dimensions and criteria and their magnitudes of influences. The results show that recreational fishery operators in Penghu believe that improving the evaluation dimension of service experience should have the highest priority, while officials and scholars consider marine environmental value as the most important for sustainable development. The evaluation model and analysis results will be provided to Penghu offshore platform operators to improve the service experience items provided by recreational fishery through designing high‐value recreational fishery experiential activities.

Critical Success Factors of Electric Mobility Transition in Indonesia: A DEMATEL-Based ANP Approach

The high index of poor air quality and the increasing demand for oil fuel pose severe problems for Indonesia. The largest sector contributing to both of these issues is the transportation sector. Electric mobility offers a notable opportunity for decreasing carbon emissions within the transportation domain. Despite the Indonesian government's notable backing of this initiative, the implementation has been slow. Therefore, this study aims to identify the critical factors necessary for a successful transition to electric mobility. This study identifies the factors influencing the transition to e-mobility in the initial stage. Subsequently, these factors are validated and assessed by a panel of nine experts. In the validation phase, data processing involves the use of the Content Validity Index (CVI) and Modified Kappa methods. To assess relationships and prioritize essential success factors, the Decision-making Trial and Evaluation Laboratory-based Analytic Network Process (DEMATEL-based ANP) is applied. This study identifies six dimensions and 24 critical success factors. The political dimension emerges as the most significant, with the top five priorities being government funding, charging infrastructure, value proposition, fuel price, and charging time. The findings can be used to provide recommendations to the government or relevant stakeholders in supporting the shift to electric mobility in Indonesia.

Applying Fuzzy Decision-Making Trial and Evaluation Laboratory and Analytic Network Process Approaches to Explore Green Production in the Semiconductor Industry

As environmental awareness grows, society emphasizes green business. Thus, semiconductor companies encompass energy-saving processes and innovative product development. This study employs the fuzzy decision-making trial and evaluation laboratory (DEMATEL) analysis method to assess the impact of four key dimensions, externalities, market orientation, green technology, and corporate social responsibility, on semiconductor companies’ green production decisions. This study uses the DEMATEL-based analytic network process (DANP) approach to rank the criteria order in green production decision-making. The results from the DEMATEL causality diagram highlight externalities as the most critical dimension influencing other dimensions of green production decisions. This study suggests that regulatory pollution punishment and subsidies emerge as the primary drivers for green production decisions. Companies adopt environmentally friendly production practices to prevent regulatory pollution penalties or reduce carbon trading costs. Additionally, the DANP results reveal that corporate image criteria in the corporate social responsibility dimension hold the utmost priority in semiconductor firms’ green production decision-making. This implies that considerations for improving a company’s image should take precedence as semiconductor companies seek shareholder support and governmental subsidies to ensure sustainable operations. Externalities arise as the secondary priority dimension in green production decision-making, aligning with the impact of externalities identified in DEMATEL findings.

Psychological resilience factors in intensive care nursing: a hybrid multi-criteria decision-making model

PurposeTo analyze the key factors influencing the psychological resilience of intensive care unit (ICU) nurses during the COVID-19 pandemic and put forward suggestions promoting resilience based on key improvement factors and clinical experience.MethodsData were collected from 35 ICU nurses in a hospital in Zhejiang Province, China, through a questionnaire survey conducted between January and February 2023. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was then used to construct and visualize the relationship structure between the factors. The DEMATEL-based Analytical Network Process (DANP) was applied to determine the influential weights of all factors. Finally, the key improvement factors were identified using importance-performance analysis (IPA).ResultsBased on the cause-effect impact network diagram (CEIND), it was concluded that (C11), (C22), and (C32) are the key factors that promote the improvement of psychological resilience among ICU nurses. Additionally, these factors were the key factors that influence psychological resilience. The confidence levels of these results and the gap were 99.6% and 0.4%, respectively, which exceed the threshold value of 95%, indicating good stability. Finally, for the case hospitals, (C13) was identified as the key improvement factor.ConclusionsHospital administrators should support ICU nurses in enhancing their psychological resilience during major epidemics by: (i) Providing training on comprehensive protective measures and nursing skills; (ii) Effectively managing the human resources of nurses in the hospital to reduce their workload; (iii) Increasing social and organizational support for nurses to alleviate anxiety caused by large-scale public health events and improve their psychological resilience.

Navigating critical barriers for green bond markets using A fuzzy multi-criteria decision-making model: Case study in Vietnam

As potent financial instruments channeling capital into climate and environmental projects, green bonds' issuance is frustrated by myriad obstacles. Therefore, this study aims to explore the critical barriers to green bond issuance in Vietnam. This study elucidates the salient barriers by utilizing an integrated multi-criteria decision-making methodology synthesizing the Fuzzy set theory-based Delphi, Decision-Making Trial and Evaluation Laboratory (DEMATEL), and DEMATEL-based Analytic Network Process (DANP). An extensive literature review of green bonds delineates five key dimensions related to impediments: Policy, Market, Financial, Capacity, and Awareness, with 38 discrete indicators representing potential obstacles. Firstly, employing a Fuzzy Delphi survey of 16 experts, 32 indicators are distilled for further analysis. Then, Fuzzy DEMATEL modeling evaluates the interrelationships and interactions among barriers. Finally, DANP is applied to obtain the relative importance of key barriers. Results unveil the five most formidable barriers as a weak regulatory framework and infrastructure (PO1), Limited availability of green bond issuance guidelines and templates (PO2), Insufficient incentives or tax benefits for green bond issuers (PO3), Limited coordination and alignment with international green bond standards (PO5), Lack of investor confidence in the quality and credibility of green projects (AW4), and Capacity constraints among issuers, particularly in smaller organisations or government agencies (CA1). The research contributes to the broader literature on green finance and offers valuable insights for promoting sustainable finance practices in Vietnam and other developing economies.

DEMATEL-Based ANP Model for Identifying Critical Indicators in Sustainable Emergency Material Reserve Systems

DEMATEL-Based ANP Model for Identifying Critical Indicators in Sustainable Emergency Material Reserve Systems

Management of products in the apparel manufacturing industry using DEMATEL-based analytical network process technique

Management of products in the apparel manufacturing industry using DEMATEL-based analytical network process technique

Diagnosing the Organizational Climate of Junior High Schools in Taiwan

The study aims to prioritize critical climate components for school improvement. A psychometrically validated instrument named the Chinese “Organizational Climate Diagnostic Instrument for Junior High Schools” (OCDI-JH) was used to diagnose climate factors through expert judgments and fuzzy DEMATEL-based ANP. Results of the study identified the six factors clustered under the two dimensions of ‘Safety' (D1) or ‘Academic emphasis' (D2) should be given particular attention for school effectiveness. The established climate diagnosis appraisal computed by fuzzy DEMATEL-based ANP can be extended to other school regions for systematically developing school climate based on contextually specific needs and concerns. Future research studies are expected to provide incremental and value-added contributions to the competitive advantages of Taiwan's junior high school education.

Intellectual Capital Evaluation Index Based on a Hybrid Multi-Criteria Decision-Making Technique

In the context of a burgeoning knowledge economy, enterprise intellectual capital has emerged as a pivotal asset for organizational growth. Evaluating it requires a comprehensive and robust index, yet there is no standard methodology for such assessments. Here, we propose an index for evaluating enterprise intellectual capital. We use the Delphi method to delineate a scientific decision structure. A grey-based decision-making trial and evaluation laboratory (DEMATEL) is coupled with an analytic network process (ANP)—i.e., grey DEMATEL-based ANP (GDANP)—to determine the relative weight of indicators. Then, we use the technique for order preference by similarity to an ideal solution to validate the effectiveness and applicability of the proposed evaluation index based on data on thirty new-technology companies in China. This study bridges a critical gap in academic discourse, and we discuss the practical implications for the strategic management of intellectual capital in corporate settings.

Exploring critical determinants influencing businesses’ continuous usage of mobile payment in post-pandemic era: Based on the UTAUT2 perspective

Consumers across demographics have diverse digital lifestyles and rely heavily on e-commerce to purchase necessities including food and beverages. The COVID-19 pandemic has habituated consumers to making mobile payments at an accelerated pace. Despite rising consumer demand for mobile payments, comparable trends in the supply side for businesses remains crucial for the future sustainability of mobile payments. However, businesses must remain willing to accept mobile payments and engage in continued marketing to promote mobile payment. Few studies thus far have applied multi-criteria decision-making analyses to evaluate the critical determinants of intention and motivation to use mobile payment; quantitative analysis methods, such as factor, regression, and variance analyses, are more commonly applied. This study examined the critical evaluation constructs and criteria that affect retailers and service providers in outlying islands using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) as our theoretical basis. It then established a multi-criteria decision-making framework for understanding the factors influencing businesses' mobile payment use. This study uses the multi-criteria evaluation of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and DEMATEL-based Analytic Network Process (DANP) to create network relation maps of the constructs and criteria for the willingness of outlying island retailers and service providers to continue accepting mobile payments. Penghu County is located on the outlying islands of Taiwan and has witnessed a substantial shift in transaction practices among its small and medium-sized enterprises following the outbreak of the pandemic. It experienced a marked decrease in tourist influx during the COVID-19 pandemic, significantly impacting local businesses. This study aimed to better understand the opinions and motivations of businesses in Penghu County regarding mobile payment services. Insights from this perspective should help improve local businesses’ adaptability and usage habits. The findings offer significant strategies for the government to provide specific training programs and subsidies or incentives for businesses adopting mobile payment technologies, ultimately expanding mobile payment services across small businesses that target tourists.

Evaluating Drivers and Barriers of Integrated Waste Management System Implementation in Indonesian Construction Industry: A DEMATEL-Based Analytical Network Process

The growth of construction industries in Indonesia creates an increasing level of generated construction waste. The limited implementation of ISO 14001 in the Indonesian construction industry might indicate the limited implementation of waste management based on sustainability principles. Therefore, this study aims to explore the drivers and barriers to implementing integrated waste management in construction industries. The Content Validity Index (CVI) and Modified Kappa methods were utilized to validate the indicators from the literature review. A total of 18 driver factors and 21 barrier factors in six dimensions were assessed by seven experts. This study then employs the decision-making evaluation and laboratory-based analytical network process (DEMATEL-based ANP) to find the weight and relation between each indicator and dimension. The results show that environmental awareness is the most important factor that drives construction industries to implement waste management in their company. In contrast, a lack of education about waste management is the most significant factor that inhibits construction industries from implementing sound waste management systems.

ASSESSING THE DIFFUSION OF FINTECH INNOVATION IN FINANCIAL INDUSTRY: USING THE ROUGH MCDM MODEL

We develop a conceptual structure to explore how financial technology (FinTech) innovation is being implemented to deal with vague, inconsistent and ambiguous knowledge in actual world. The structure of this study is built upon the technology, organization, environment (TOE) context, which one uses the concept of multi-criteria estimation to measure the significance of FinTech innovation. We develop an integrated MCDM (multiple criteria decision-making) model through rough set theory help administrators obtain a strategic influence relation map for enhancing performance approaching towards the aspiration value. This model involves three steps: primary, we apply this rough number to define group views which reflect upon experts’ real experiences; second, we use the rough DEMATEL-based ANP-(RDANP) to acquire the rough influential weights and rough influential network relationship map (RINRM) based on this TOE structure and its corresponding attributes; finally, we utilize the rough modified VIKOR with the influence to analyze the gap between the performance value and the aspirated level. The empirical case was originated from financial industry in Taiwan. According to the weighting results the expected benefits, technology integration, and competitive pressure were the most important criteria. Our results also illustrate how FinTech innovation can be used for promoting financial services.

Analyzing the interrelations among investors’ behavioral biases using an integrated DANP method

This research investigates the relationships between investors’ behavioral biases and compares their relative importance. For this purpose, a survey is conducted, and analytical methods are used. The sample for this study has been 512 individual investors of the Tehran Stock Exchange who completed an online questionnaire. The respondents replied about their behavior in different situations to analyze the prevalence of asymmetric discounting, mental accounting, shifting risk preference, loss aversion, regret aversion, overconfidence, proxy decision making, ambiguity aversion bias, anchoring, and herd behavior as significant fields of behavioral biases in their investment decisions. The data is analyzed using two different analytical techniques. A model based on structural equations is designed and tested to analyze the relations between these fields. Another integrated method, the DEMATEL-based analytic network process, is also used to prioritize and rank these behavioral biases. Finally, the results are compared and confirmed by each other. Analyzing the results proves the existence of 19 positive and statistically significant relations between these fields. Thus, an increase or decrease in the intensity of a particular field of behavioral biases in one’s decisions significantly affects the intensity of other fields. The present study finds that shifting risk preference, anchoring, loss aversion, and regret aversion are the most important fields of behavioral biases based on their prevalence among investors and their correlations with other biases.

A multi-criteria decision-making integrated approach for identifying and ranking factors affecting the quality of cosmetic surgery clinic services

Considering the increasing demand for cosmetic surgery and the number of private cosmetic surgery clinics, it is essential to measure and manage the quality of services provided by these clinics. Obtaining sufficient knowledge about the content perceived by the clients of the quality of services provided by specialized clinics can affect identifying improvement opportunities and criteria that will cause their competitive advantage, and on the other hand, it also prevents wasting resources. For this purpose, this study aims to identify, evaluate, and prioritize the criteria for quality improvement in cosmetic surgery clinics. First, the effective criteria focus on the quality of medical services have been identified by reviewing the research background. Then, the identified criteria in the case study are customized by the Delphi method, and then the DEMATEL-based analytic network process method (DANP) is applied to reveal their causal relationships between criteria and sub-criteria to determine the direct and indirect influences, and finally, all of them are prioritized. In the end, based on the obtained results and knowledge of experienced medical experts in the case study, some managerial solutions are proposed to improve the quality of the provided medical services.

How does the type of MCDM method affect the results of the prioritization and assessment of ecosystem services? A case study in the Ebro River Delta (Spain)

The prioritization and assessment of ecosystem services allow governments to apply public policies on target to improve these natural areas' sustainable development and human well-being. It also enhances the environmental, socio-cultural and agricultural management of ecosystems. Previous research has proved that geographical and socio-cultural factors could influence the results obtained in real study cases. However, other factors should be studied since stakeholders have differing views on the most suitable method to prioritize ecosystem services. Regarding how stakeholders structure criteria, networked processes are, theoretically, more appropriate than the hierarchical techniques such as AHP, since they capture all the relationships among criteria. Consequently, nowadays ANP has become one of the most common MCDM methods in this field. Moreover, this technique also analyzes the consistency of the decision-makers' judgements. Nonetheless, the use of this method also encompasses some weak points: it is too laborious and time-consuming. Additionally, it is not easy to manage when the number of criteria per cluster is too large. It is why some researchers prefer using other techniques such as AHP in spite of the fact that it does not capture the relationships among criteria, or a hybrid DEMATEL-Based ANP technique, better-known as DANP, which does not utilize pairwise comparisons and hence is not able to study judgments’ inconsistencies. Therefore, this study aims to analyze how each method (AHP, ANP and DANP) influences the prioritization of ecosystem services in a real case conducted in the Ebro River Delta (Spain). Once all priorities are obtained, the results are compared through a statistical analysis of compatibility and correlation. Regarding the results of the three techniques, they show no compatibility among them. However, the correlation between the rankings obtained with ANP and DANP is reasonably correlated for seven of the eleven experts participating in the study. Besides, when the results are aggregated, their compatibility and correlation increase. On the contrary, the results obtained in AHP differ from the other two methods. Finally, and contrary to the initial hypothesis, most experts agreed more with the results obtained with DANP and AHP than with ANP.

Design of Customer Satisfaction Criteria for Telecommunications Operators: Fixed Broadband Services

Customer dissatisfaction is an opportunity lost for telecommunications operators in fixed broadband services in expanding its market, it is indicating that the criteria used in designing the loyalty program that being provided to customer are still less precise. This research aims to provide recommendations for telecommunications operator loyalty programs for fixed broadband services based on customer satisfaction’s criteria. This research uses DEMATEL-Based ANP (DANP) and Simple Additive Weighting (SAW) method to get assessment of loyalty program that best fits the customer satisfaction’s criteria. This research resulted in 5 dimensions and 22 criteria of customer satisfaction for telecommunications operators in fixed broadband services, where the dimension that most influences is resource and the dimension that is most influenced is relationship. The best loyalty program for telecommunications operators in fixed broadband services at PT X is High Value Customer (HVC), while the worst loyalty program is Customer Application.

Consumers' switching intention towards E-commerce platforms’ store-to-store pickup services: The application of the extended PPM model

The knowledge of the preference of innovative service consumers is crucial for e-commerce platforms to boost profit, gain a competitive advantage, and achieve remarkable growth. In this research, the consumer's viewpoint was applied. Furthermore, the extended Push-Pull-Mooring (PPM) model was integrated into the multi-attribute decision-making (MADM) approach to investigate the elements impacting the consumers' attempt of shifting to the store-to-store pickup service developed by e-commerce platforms. Besides, the development of the Decision-Making Trial and Evaluation Laboratory (DEMATEL) was for the investigation into the reciprocal effects of evaluation dimensions and factors and the development of an influential network relation map (NRM). The DEMATEL-based Analytic Network Process (DANP) was used to calculate the influential weights of these dimensions and factors. It could be seen from the NRM that the first dimension that required improvement and adjustment ought to begin with a push and subsequently a pull, mooring, switching intentions, and inertia. The influential weights from the DANP highlighted inertia as the most impactful dimension, with mooring coming in second. Meanwhile, push held the lowest significance. The next discussion focuses on the theoretical, managerial and practical implications.

Exploring the critical factors influencing the outlying island talent recruitment and selection evaluation model: Empirical evidence from Penghu, Taiwan

The declining birth rate, population ageing and the outbound migration of young people in recent years have created obstacles for local companies in recruiting skilled personnel. Similar factors have also affected recruitment in the outlying island of Penghu, Taiwan. Multiple-attribute decision-making (MADM) techniques for evaluation model development were incorporated in the present research to investigate the key determinants of talent recruitment by the coffee house operators in the outlying island of Penghu. The decision-making trial and evaluation laboratory (DEMATEL) approach was first implemented to (i) examine the extent of mutual impact between evaluation predictors and (ii) develop an influential network relation map (NRM) for indicator and sub-indicator assessments. Subsequently, the DEMATEL-based analytic network process (DANP) technique was utilised to compute the weights of every indicator and sub-indicator. Additionally, the modified VlseKriterijumska Optimizcija I Kaompromisno Resenje or VIKOR (in Serbian) approach evaluated every indicator and sub-indicator performance gap for empirical data analysis with suggested conclusions and recommendations. The results showed that the first dimension that should be improved is past experience, followed by personality traits and professional competence, according to the causal diagram of the NRM. The weights acquired through the DANP indicated that professional competence was the most influential dimension, followed by personality traits, whereas past experience was the least influential. Past experience revealed that the highest gap value is the most important for development if coffee house operators want to attain the appropriate levels. Finally, the theoretical, managerial, and practical implications were discussed. Notably, the research outcomes could optimise talent recruitment, establish appropriate talent recruitment methods for coffee house operators, and enhance the human resource quality in the outlying island of Penghu.

A New Hybrid Decision-Making Model for Promoting Sustainable Social Rental Housing

The realization of sustainable social rental housing is regarded as an important policy to solve the housing burden, but social rental housing is often unsustainable. This study assesses the sustainability of social rental housing. However, the decision-making models, such as the classical decision-making hierarchy (AHP) used in the current study, conflict with the resolution of the complex influence of the relationship between evaluation dimensions/criteria. Based on this, we construct a new hybrid multi-attribute decision-making model (MADM) combining the Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL), Fuzzy DEMATEL-based analytic network process (DANP) and the modified VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method for the sustainability assessment of government-led social rental housing (SRH) using Taiwanese experts as the subject of the investigation. The Fuzzy DEMATEL found that economic sustainability (D1), as the core dimension, affects environmental (D3) and social sustainability (D2). Furthermore, criteria with the “cause” position, including the reasonable development model (C2), the provision of living facilities and services needed (C5), the adoption of environmentally friendly technology and equipment (C10), guaranteed rent and lease (C1), the acquisition of working skill and employment opportunities (C6) and space planning and design (C3), should receive more attention from decision makers because improving these can further enhance the sustainability of the overall scheme. Combined with the DANP weight and modified VIKOR, we also indicate that these criteria should be optimized to make the evaluation more sustainable for a selected social housing case in Taiwan. The research also further proposes management strategy implications.

Identifying Critical Indicators in Performance Evaluation of Green Supply Chains Using Hybrid Multiple-Criteria Decision-Making

Performance evaluation of green supply chains (GSC) is an important tool to improve their comprehensive management. Identifying critical indicators is crucial to evaluation. This study examines the critical indicators in performance evaluations of GPC and provides relevant suggestions for managers to improve GSCs’ performances. Firstly, we summarized 24 evaluation indicators from five dimensions—financial value, customer service-level, business processes, innovation and development, and the so-called green level. Secondly, the Delphi method was used to determine the formal research framework. The fuzzy decision-making trial and evaluation laboratory based analytic network process (fuzzy DEMATEL-based ANP) model was applied. The weighted prominence of each indicator was calculated to identify those that were critical, and a causality diagram was constructed for them. Finally, corresponding countermeasures and implications regarding those were put forward. The research results show that the critical indicators include the return rate of net assets, the growth rate of profit, the rate of service satisfaction, market share, production flexibility, and the green consensus. Among them, the green consensus, the growth rate of profit and the rate of service satisfaction form a virtuous circle, leading to the improvement of the overall performance of GSC.