Decision Making Trial And Evaluation Laboratory Research Articles

Analysing hindrances to digital disruption with a focus on cleaner cloud manufacturing

PurposeThis study aims to identify and analyse critical barriers to cloud manufacturing (CM) adoption for achieving sustainability amongst manufacturing micro, small and medium-sized enterprises (MSMEs) in an emerging economy.Design/methodology/approachInitially, through a literature survey and expert inputs, this study identified and finalized 21 critical barriers to CM adoption, which were further analysed by employing a hybrid multiple criteria decision-making (MCDM) approach. In this approach, the best–worst method (BWM) was used to rank the identified barriers. However, to analyse the interrelation amongst these barriers and classify them into the cause-effect group, the decision-making trial and evaluation laboratory (DEMATEL) method was employed. Furthermore, the study recommended various strategies that can help overcome high-priority barriers and enhance CM adoption within firms.FindingsThe results of the study show that organizational, legal and economic barriers are the high-priority barriers that need to be addressed to enhance CM adoption.Practical implicationsThe findings of the study will help managers and decision-makers in manufacturing MSMEs develop effective strategies and policies to enhance CM adoption.Originality/valueNotably, this investigation is one of the preliminary research activities to explore the sustainability aspect of CM adoption amongst MSMEs in an emerging economy.

Exploring the Impact of Pandemic Measures on Airport Performance

The impact of COVID-19 measures on airport performance is obvious, and there have been numerous studies on this topic. However, most of these studies discuss prevention measures, the effects on airport operations, forecasts of economic impacts, changes in service quality, etc. There is a lack of research on the effects of various prevention measures on airport operations and the interrelationships between these measures. This study focuses on addressing this gap. In this study, an integrated approach is devised that combines the decision-making trial and evaluation laboratory (DEMATEL) method and interpretive structural modeling (ISM). This integrated method is useful for exploring the relationship between pandemic measures and airport performance as well as the complex relationship between them, and the combination of methods improves upon the shortcomings of the original models. This study reveals that mandating vaccination certificates for entry into a country is the most significant measure affecting airport performance. Additionally, aircraft movement at the airport has the greatest overall impact and can be considered the most crucial factor influencing airport performance from an operational standpoint. The findings show that both factors directly influence financial performance, as reflected in the net income. Some management implications are provided to mitigate the consequences of the measures taken to counter the pandemic crisis. This integrated approach should also assist authorities and policy-makers in planning cautious action for future crises.

The pathways to lean manufacturing for circular economy: Implications for sustainable development goals

Purpose This study aims to address the critical challenge of implementing lean manufacturing (LM) in emerging economies, where sustainability complexities on the production floor hinder production efficiency and the transition towards a circular economy (CE). Addressing a gap in existing research, the paper introduces a path analysis model to systematically identify, prioritize and overcome LM implementation barriers, aiming to enhance performance through strategic removal. Design/methodology/approach The authors used a mixed-method approach, combining empirical survey data with literature reviews to pinpoint key LM barriers. Using the grey-based Decision-Making Trial and Evaluation Laboratory (DEMATEL) along with the Network Knowledge (NK) method, they mapped causal relationships and barrier intensities. This formed the basis for developing a path simulation algorithm, integrating heuristic considerations for practical decision-making. Findings This analysis reveals that the primary barriers to LM adoption is the negative perception and inadequate understanding of lean tools and CE principles. The study provides a strategic framework for managers, offering new insights into barrier prioritization and overcoming strategies to facilitate successful LM adoption. Research limitations/implications This research provides a strategic pathway for overcoming LM implementation barriers, empowering managers in emerging economies to enhance sustainability and competitive advantage through LM and CE integration. It emphasizes the significance of structured barrier management in the manufacturing sector. Originality/value This research pioneers a systematic exploration of LM implementation barriers in the CE context, making a significant contribution to the literature. It identifies, evaluates barriers and proposes a practical model for overcoming them, enriching sustainable manufacturing practices in emerging markets.

A miscellaneous model for comprehensive attractiveness assessment of chemical plants: Integrating chemical hazards, domino effects and plant traits

The growing threat of intentional attacks on major petrochemical plants underscores the urgent need for robust security risk assessments (SRA). Such assessments are widely acknowledged as crucial for risk mitigation and are currently a focus of active research. This study introduces a methodology for assessing the attractiveness of the petrochemical sector to intentional attacks, considering chemical hazards, domino effects, and plant traits. Within this framework, we have identified 12 risk factors that capture the multifaceted nature of targeting incentives, relating to the enterprise, location, population, and other key features. We have developed a hybrid decision-making model that analyzes the interrelationships among these factors and determines their weights, integrating the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP). The applicability of this method is demonstrated through a detailed case study. The results indicate that our method can effectively rank the attractiveness of chemical plants within a specific region, serving as a preliminary screening phase in the SRA. The findings of the attractiveness assessment may assist in identifying potential targets among numerous existing plants and support the allocation of security resources and the formulation of defensive measures.

Sistem Pendukung Keputusan Pemilihan Kepala Cabang SCO di JNE Menerapkan Kombinasi Metode Dematel dan Aras

The head of the SCO (Sales Counter Officer) branch is a person who has good experience, knowledge and skills to lead and process finances every day who offer products available from the goods delivery service at the JNE Ekpress company. The SCO branch head also plays a role in organizing and coordinating SCO workers on duty, starting from arranging shifts, taking work records, and minimizing losses caused by SCO input errors. Decision Support Systems are computer-based systems consisting of several components, namely language system components, knowledge system components and problem processing system components, which are interconnected with each other in making a decision. through the use of data and decision models in order to solve a problem. DEMATEL (Decision Making Trial And Evaluation Laboratory) aims to find direct (dependency) in a variable system. The Additive Ratio Assessment (ARAS) method is a method used for ranking criteria. In carrying out the ranking process, this method is very suitable for use in selecting candidates for SCO branch heads. Where the highest value is the best value of the final result. Based on the test results, it is known that Rahmad is a candidate who meets the criteria to become the new SCO branch head with a score of 0.957972 or 96%.

Digitalization of Small and Medium-Sized Hotels in Vietnam: Interdependent Critical Factors

People responsible for managing digitalization must clarify the role of its critical factors. Many studies have already identified these factors, assuming that they are independent. These factors, however, are likely to interact since digitalization is a multi-stakeholder and multi-dimensional transformation. Ignoring their interactions is likely to cause biases in measurement and analysis. Therefore, this study explores the influential weight and interactions of the critical factors behind the digitalization of Vietnam’s small and medium-sized hotels. According to the technology-organization-environment (TOE) framework, the results of a combined analytical hierarchy process (AHP) and the decision-making trial and evaluation laboratory (DEMATEL) analysis present four key findings: 1) technological context is a cause, but organizational context is an effect, while environmental context is neutral; 2) technological context has influence than others; 3) among the 12 critical factors identified, marketing benefits, financial resources, usage barriers, and cross-technology compatibility are the most important; and 4)  marketing benefits, cross-technology compatibility, financial resources, organizational characteristics, and competitor pressure are causes. The findings show that contexts (factors) interact. Cause context (factor) directly and indirectly influences digitalization through other contexts (factors). In addition, there are no dominant contexts and factors. Accordingly, to be effective, digitalization needs to take all critical factors into account. Prioritizing the primary context (factors) and improving the core cause context (factors) are therefore appropriate.

Unlocking the potential of blockchain technology in enhancing the fisheries supply chain: an exploration of critical adoption barriers in China

The application of blockchain technology holds significant potential for improving efficiency, resilience, and transparency within the Fisheries Supply Chain (FSC). This study addresses the critical barriers hindering the adoption of blockchain technology (BT) in the Chinese FSC, recognizing the unique challenges posed by its intricacies. Through a comprehensive literature review, fourteen Critical Barrier Factors (CBFs) were identified, and a grey Delphi method was employed to distill this set. Five pivotal CBFs emerged, including "Regulatory Compliance," "Cost of Implementation," and "Complex Supply Chain Network". A subsequent grey Decision-Making Trial and Evaluation Laboratory (DEMATEL) analysis revealed the causal relationships among these factors, categorizing them into effect and cause groups. "Regulatory Compliance," "Cost of Implementation," and "Complex Supply Chain Network" were identified as primary influencing factors demanding attention for effective BT integration in the FSC. The findings serve as a valuable resource for FSC stakeholders, assisting in prioritizing efforts to address these barriers. The discerned causal relationships provide guidance for managers in optimizing resource allocation. Ultimately, this research advocates for the adoption of blockchain technology in the fisheries supply chain to enhance overall performance and operational efficiency.

A Combined Decision-Making Analysis Under Single-Valued Neutrosophic Set for Selecting Favorable Knowledge Management Strategy

The Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are pivotal methods in multi-criteria decision-making, addressing causal relationships among criteria and ranking alternatives, respectively. This paper introduces a novel approach, integrating DEMATEL and TOPSIS under the framework of single-valued neutrosophic set (SVNS) to handle indeterminacy in decision-making. Applied to a knowledge management strategy case, the method utilizes eight criteria and four alternatives derived from the literature. The process involves DEMATEL for expert weight determination and direct-relation matrix creation through linguistic variable influence. Subsequently, TOPSIS is employed to rank alternatives based on distance measures. The combined method identifies the ‘Human Resource Department’ as the most crucial in knowledge management strategy. This integrated approach facilitates organizations in pinpointing vital criteria and alternatives for effective knowledge management. Comparative analyses with existing methods are also presented.

A hybrid multi-attribute decision-making model for the systematic evaluation of exoticism-themed retail spaces from the perspective of consumer experience

Previous studies have provided abundant evidence confirming the significant impact of the physical environment in retail spaces themed with exoticism on brand establishment, consumer attraction, and stimulation of consumption behavior. However, there has been limited research employing systematic approaches to examine the influence of physical environmental elements on consumer experiences in Exoticism-themed retail spaces. Therefore, this study aims to propose a comprehensive and systematic evaluation framework from the perspective of consumer experience. It integrates the Caption Evaluation Method (CEM), Kano model, and Decision Making Trial and Evaluation Laboratory (DEMATEL) technique into a Multiple Attribute Decision Making (MADM) model. This study selects cases from China to demonstrate the superiority of the model. The research findings suggest that in the development and renovation process of integrating exoticism elements into retail environments, more attention should be paid to infrastructure such as street layout and facilities. Real plants, in particular, have the greatest primary influence on other elements. Theoretically, it offers a novel perspective on decision-making concerning the enhancement of the physical environment system in Exoticism-themed retail spaces. Practically, the analytical model developed in this study can provide decision-making insights and experiential references for similar themed retail spaces globally.

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.

Product Design of Balance Bikes Using Decision-Making Trial and Evaluation Laboratory (DEMATEL)

By analyzing the relationship between components of a product, the decision-making trial and evaluation laboratory (DEMATEL) was used to visualize the structure of intricate causal relationships of factors that affect purchase decisions for Balance Bikes. Cluster analysis was employed to visualize the structural relationship. We took three Balance Bike designs to apply DEMATEL in their design development and compared DEMATEL results with the results of the questionnaire survey and interviews. The result showed that DEMATEL can be applied to product design and development. For Balance Bike design, respondents valued aesthetics and delivery more than other indicators including practicality, productivity, functionality, and operability.

Exploring Key Barriers of HACCP Certification Adoption in the Meat Industry: A Decision-Making Trial and Evaluation Laboratory Approach.

Food safety management represents an important concern in contemporary society. The Hazard Analysis Critical Control Point (HACCP) system is a crucial tool for meat producers, preventing and controlling major food safety concerns in the process. This research investigates key barriers to HACCP implementation in the meat industry, employing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) model to identify and categorize these obstacles. Using the insights of 18 experts, a cause-and-effect relationship diagram is generated through which twelve barriers are categorized in terms of their cause and effect and then analyzed. Threshold value is calculated as 0.299. The findings reveal poor management as the primary impediment, followed by challenges in training, knowledge, and dedication. Categorizing the barriers into four groups emphasizes the critical role of effective management and human resources. The study contributes valuable insights to food safety management literature, serving as a practical resource for industry practitioners. Despite limitations in relying on expert opinions and the industry-specific focus, the research lays a foundation for informed decision-making, stressing the importance of effective management in successful HACCP implementation. Future research directions include diversifying geographical representation, exploring practical solutions, and integrating emerging technologies for a better understanding of HACCP adoption challenges.

Evolutionary model and risk analysis of ship collision accidents based on complex networks and DEMATEL

To manage and control ship collision risk, this paper aims to develop a quantitative risk analysis approach based on complex networks and Decision-making Trial and Evaluation Laboratory (DEMATEL), to study the evolution of ship collision accidents. Firstly, through the search, selection and analysis of accident investigation reports of ship collisions in the world, 46 Risk Influential Factors (RIFs) were identified, and a network model for the evolution of ship collision was established. Secondly, a risk analysis of the evolution model for ship collision accidents was conducted by utilizing the topology characteristics of the complex network theory. Thirdly, a robustness analysis was used to identify 10 key RIFs involved in ship collisions from a global network perspective, and the grey relation analysis technique was employed to verify the key RIFs. Finally, the DEMATEL method was utilized to identify 11 key RIFs from a perspective of causality, and corresponding risk control measures were proposed to mitigate those key RIFs. The research results provide theoretical support for identifying the key RIFs and controlling the risk transmission of ship collision, and have practical significance for preventing the occurrence of ship collision accidents and ensuring the safe navigation of ships.

Exploring barriers towards effective coal supply-A non-core perspective using ISM-DEMATEL

While other energy sources are becoming more popular, India is expected to continue to depend on coal in the coming years. This study aims to identify and assess barriers to the efficient supply of coal to non-core industries reliant on this energy source. Employing a hybrid approach combining Interpretive Structural Modeling (ISM) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), we analyse the hierarchical structure and causal relationships among barriers affecting the coal sourcing process. The hybrid model emphasizes that the 'biased government approach' and 'lack of mining technology and infrastructure' are crucial barriers. These key barriers exert a substantial influence on other factors within the scope of our study. Unlike earlier studies, this research enhances theoretical understanding by thoroughly exploring barriers to effective coal sourcing strategies. Policymakers engaged in decision-making for the non-core coal-dependent sector in India can benefit from this research. Attention should be directed towards addressing key barriers influencing effective coal sourcing, specifically focusing on ‘biased approach by the government’, ‘lack of mining technology and infrastructure’, ‘social and political constraints’, ‘low research and development’, and ‘lack of skilled personnel’.

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.

An assessment of barriers to integrate lean six sigma and industry 4.0 in manufacturing environment: case based approach

ABSTRACT The integration of Lean Six Sigma (LSS) with Industry 4.0 (I4.0) has numerous advantages for the organization. LSS and I4.0 integration in manufacturing environments face some challenges, including data integration, a lack of understanding of the strategic implications of integrating LSS and I4.0, security and data privacy issues, return on investment, and a shortage of consultants and trainers. This paper aims to analyse the barriers and their interrelationship that could hinder the manufacturing organisation from embracing LSS with I4.0. Fifteen potential barriers were identified from the literature review and by taking the opinion of experts and decision-makers. The grey decision-making trial and evaluation laboratory (DEMATEL) method was applied to find the influence of each barrier on other barriers. The cause–effect relationship between the barriers was identified and later validated by experts. Using a single case study methodology, this study prioritises the identified barriers that hinder the automotive component manufacturing industry from integrating LSS with I4.0. The top three barriers were ‘lack of long-term vision’, ‘timely and accurate data availability’, and ‘lack of automation’. This paper will help the managers to better understand which barriers could affect the integration of LSS with I4.0.

Smart City Actions Integrated into Urban Planning: Management of Urban Environments by Thematic Areas

Over the years, the imbalance between population needs and urban spaces’ organized development has been accentuated by increasing urbanization. The implementation of smart city actions began in the 1990s, with the development of integrated solutions in cities, harmonizing social, environmental, and economic aspects. This research measures the impact of thematic areas on smart cities’ management performance. The multi-criteria Decision Making Trial and Evaluation Laboratory (DEMATEL) method was used to identify the interdependent relations between smart cities’ thematic areas, structuring a diagram of cause-and-effect relations using threshold quantification values. Considering their degree of importance in smart city management, the thematic areas of technology and innovation, living environment and infrastructure, education and training, and governance and engagement are highlighted. For the degree of influence, the most influential thematic areas are coexistence and reciprocity, living environment and infrastructure, entrepreneurship, and healthcare. Also, the cause-and-effect analysis identified governance and engagement, education and training, and mobility as central thematic areas for smart city management. Finally, the research construct was developed by ranking the thematic areas’ performance in urban space planning.

The Exploring the Relationship between Financial Performance Indicators, ESG, and Stock Price Returns: A Rough Set-based Bipolar Approach

Using a Rough-Set-based approach, this study investigates the connection between financial performance, Environmental, Social, and Governance (ESG) factors, and stock returns. It analyzes data from various companies and industries to examine how ESG metrics interact with financial indicators to influence stock prices. Those findings underscore the importance of considering financial and ESG factors when evaluating a company's performance and market valuation. The Rough-Set-based bipolar model comprises eight decision rules, and the DEMATEL (Decision-Making Trial and Evaluation Laboratory) analysis reveals the influence relationship among the core attributes. Furthermore, the ranking result, based on the bipolar model, is consistent with the market returns, which suggests the validity of this study.

Application of the DEMATEL approach to analyse the root causes of building defects

AbstractBuilding defects are a common phenomenon in the construction industry. The negative consequences of building defects are not limited to waste generation or low resource efficiency. This challenge can have several direct and indirect implications such as cost overruns, unforeseen delays in project completion time, building occupants’ dissatisfaction and health and safety risks. Despite the increase in the number of studies investigating building defects in recent years, little is known about the prioritisation of their causes by considering the interaction among the causes of defects. Therefore, this study employed the decision-making trial and evaluation laboratory (DEMATEL) method to bridge this gap. Experts' opinion was sought using a questionnaire developed in the form of a matrix and semi-structured interview questions. Thereafter, the interactions among the causes of building defects were analysed and the most prominent causes are identified. The study showed that materials, workmanship and design are the major causes of building defects. Despite being specific context, the findings can be the basis for further research in this area with a focus on a range of different building typologies. Furthermore, the recommendations provided will act as a facilitator to minimise the occurrence of building defects. Lastly, the research findings can be considered in the planning stage of any construction project, to ensure the construction quality, reduce potential waste and enhance the circular economy and resource efficiency in the built environment sector.

Analyzing Barriers to Internet of Things (IoT) Adoption in Humanitarian Logistics: An ISM–DEMATEL Approach

Background: Effective humanitarian logistics (HL) is essential in disaster response. The “Internet of Things” (IoT) holds potential to enhance the efficiency and efficacy of HL, yet adoption is slowed by numerous barriers. Methods: This study employs interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) to explore and classify barriers to IoT integration in HL. Results: A total of 12 barriers were identified, classified, and ranked according to their driving power and dependence. Key barriers include lack of standardization, organizational resistance, data quality issues, and legal challenges. Conclusions: Overcoming these barriers could significantly improve relief operations, reduce errors, and enhance decision-making processes in HL. This investigation is the first of its kind into IoT barriers in HL, laying the groundwork for further research and providing valuable insights for HL managers.