DEMATEL Technique Research Articles

The Interaction of Purchasing Factors in Hedonic Shoppers

Geçmişte yapılan çalışmalar, bireylerin alışveriş süreçlerine dair bilinmeyenleri açıklamaya başlamış olsa da hala tüketici zihnini anlamak tam anlamıyla mümkün olamamaktadır. Tüketici davranışlarına dair yapılan her çalışma, bu bilinmezliği ortadan kaldırmak adına, literatüre katkı sunmaktadır. “Tüketicilerin satın alma davranışlarına etki eden hangi gösterge, hangi hedonik alışveriş motivasyonu içerisinde daha etkilidir?” sorusuna yanıt aramak için yapılan bu çalışma, tüketicilerin satın alma kararlarını verirken yaşadıkları karmaşanın çözümü adına, karar verme yöntemlerinden DEMATEL tekniği kullanılarak hazırlanmıştır. Tüketicilerin satın alma davranışlarına etki eden göstergelerin, hedonik alışveriş motivasyonlarına göre nasıl konumlandıklarını anlamak amacıyla hedonik ürün listesinde yer alan ürünleri yakın zamanda tercih etmiş bireylerden veri toplanmıştır. Katılımcıların hem hedonik alışveriş motivasyonlarını hem de satın alma davranışlarına etki eden göstergelerini bölümlendirerek analize devam edilmiştir. Herhangi bir hedonik alışveriş motivasyonun 3’ün üzerinde hesaplanması (5’li likert için) katılımcının ilgili motivasyona sahip olduğuna yorumlanmıştır. Benzer şekilde, tüketicilerin satın alma davranışlarına etki eden göstergelerde de katılımcıların verdikleri cevaplara göre bir hiyerarşi elde edilmiştir. Hedonik alışveriş motivasyonuna sahip olduğu belirlenen katılımcılar için, DEMATEL analizi yardımıyla tüketicilerin satın alma davranışlarına etki eden göstergeler arasındaki etki ve önemleri hesaplanmıştır. Bu yöntem ile satın alma davranışına etki eden göstergeler arasındaki nedenselliğin yönü de ortaya çıkartılmıştır. Araştırma sonuçlarına göre, bireylerin sosyalleşmek için alışveriş yapma ve fikir edinmek için alışveriş yapma motivasyonlarında göstergelerin önem istatistikleri diğer motivasyonlara göre yüksek hesaplanmıştır. Prestij algısı, fırsatları yakalamak için alışveriş yapma motivasyonunda en yüksek etki değerine sahipken; benlik algısı diğer tüm hedonik alışveriş motivasyonlarında en yüksek etki değerine sahip gösterge olarak hesaplanmıştır. Doğrudan gözlem yoluyla anlaşılması mümkün olmayan örüntülerin ortaya çıkarılmasında kullanılabilecek bu yöntem, çalışmada hedonik alışveriş motivasyonları çerçevesinde kullanılmıştır. Bu çalışmada kullanılan DEMATEL araştırma yönteminin, tüketici psikolojisine etki eden farklı unsurların ortaya çıkarılmasında kullanılabileceği gelecek araştırmalarda kullanılması önerilmektedir.

Modelling the drivers of responsiveness of automotive supply chain using an integrated fuzzy DEMATEL-ISM approach

PurposeThe automotive industry appears to overcome much of its obstacles, despite the constant struggle facing COVID-19. The pandemic has resulted in significant improvements in the habits and conduct of consumers. There is an increased preference for personal mobility. In this dynamic environment with unexpected changes and high market rivalry, automotive supply chains focus more on executing responsive strategies with minimum costs. This paper aims to identify and model the drivers to the responsiveness of automotive supply chain.Design/methodology/approachSeventeen drivers for supply chain responsiveness have been identified from the extensive literature, expert interview. An integrated methodology of fuzzy decision-making trial and evaluation laboratory–interpretive structural modelling (DEMATEL–ISM) is developed to establish the interrelationship between the drivers. The cause–effect relationship between the drivers was obtained through fuzzy DEMATEL technique, and a hierarchical structure of the drivers was developed using the ISM technique.FindingsThe result of the integrated methodology revealed that strategic decision-making of management, accurate forecasting of demand, advanced manufacturing system in the organisation and data integration tools are the critical drivers.Research limitations/implicationsThis study has conceptual and analytical limitations. In this study, a limited number of drivers are examined for supply chain responsiveness. Further research may examine the role of other key performance indicators in the broad field of responsiveness in the automotive supply chain or other industry sectors. Future study can uncover the interrelationships and relative relevance of indicators using advanced multi-criteria decision-making methodologies.Originality/valueThe authors proposed an integrated methodology that will be benefitted to the supply chain practitioners and automotive manufacturers to develop management strategies to improve responsiveness. This study further helps to compare the responsiveness of the supply chain between various automotive manufacturers.

Modelling drought vulnerability tracts under changed climate scenario using fuzzy DEMATEL and GIS techniques

Modelling drought vulnerability tracts under changed climate scenario using fuzzy DEMATEL and GIS techniques

AHP-DEMATEL modelling of consultant related delay factors affecting sustainable housing construction in Saudi Arabia

Considering the significance of project consultants in the delivery of sustainable housing, it is imperative to recognize the performance of Saudi Arabian-based consultants as a critical factor in the delay of construction projects. However, most of the related literatures focus more on project owners and contractors. Thus, this study examined the relationship between consultant-related delay factors affecting sustainable housing development in Saudi Arabia. The Content Analysis was combined with an expert-driven survey to determine the critical consultant related delay factors while the results were analyzed using the AHP and DEMATEL techniques. Lack of communication between consultant and contractor was the most crucial consultant related delay factor affecting timely completion of mass housing development in Saudi Arabia. The outcomes of this paper are important to practitioners and policymakers to support the establishment of sustainable strategies for mitigating the impact of construction projects delay associated with the consultants and in turn enhance the efficiency of project team members in timely delivery of projects and promoting sustainable housing development in Saudi Arabia. While the outcomes of this study are predominantly based on issues peculiar to the local construction sector, the study findings may perhaps be applicable to construction sectors in other developing countries.

Rural livelihood risk to hydro-meteorological extreme events: Empirical evidence from Indian Sundarban applying IPCC-AR5 and DEMATEL methodology

The Sundarbans, located at the southern end of West Bengal (India), is a prominent climatic hotspot. For a long time, the delta has been facing major climatic and other socio-ecological adversities. The purpose of this study is to look at how vulnerable rural livelihoods are to climate-related catastrophic events in our study area. Many authors have tried to investigate micro-level livelihood vulnerability and climate risk among 15 villages of Sundarban using hazard, exposure, sensitivity and coping capacity, addressing IPCC-AR5 (2014) framework. In the quantitative phase, DEMATEL technique has been used. The overall risks calculated from the components of IPCC-AR5, show that households in Kakdwip Subdivision that rely on nature, are extremely vulnerable to climate change, with an index of 0.601 (in island villages) compared to 0.217 in inland villages. According to the IPCC-AR5 risk assessment, farming and fishing households in coastal communities were also more vulnerable, with an index of 0.427, compared to those in riverine areas, with an index of 0.345. The violin plot clearly indicates which quartile a household belongs to, as well as the risk level among residents in different geographic places. DEMATEL analysis has been used to assist policymakers in understanding climate-resilient pathways. Following the DEMATEL technique to the IPCC AR5 components, additional indicators of the specific components have been considered in order to determine the nature of causal influences between them. The paper reveals that despite the fact that climate change-related uncertainties are increasing, local people are accustomed to living with and managing with them.

An Integrated Gray DEMATEL and ANP Method for Evaluating the Green Mining Performance of Underground Gold Mines

Green mining (GM) can achieve the harmonious development of mineral resource exploitation and environmental protection. Performance evaluation is the key to promoting GM. This research explores favorable methods to evaluate the green mining performance (GMP) of underground gold mines. First, according to the specific characteristics of underground gold mines, an evaluation criteria system for GM is formulated. Meanwhile, the weights are calculated using an integrated gray DEMATEL and ANP technique, which considers the correlation between indicators. Subsequently, the solution methodology for performance evaluation is proposed based on normalization of indicators. Finally, six underground gold mines are utilized as case studies to verify the methodological feasibility. The results of the empirical study show that there is a significant gap between ordinary mines and pilot green mines, and this study, via comparison analysis and cause–effect analysis, gives direction for mines improvement. Not only will the work provide technical and theoretical support for the evaluation and construction of similar green mines, it will also serve as a reference for government policy implementation.

Dynamics of Pertinent Project Delay Variables in the Thai Construction Sector: Mathematical Analysis

Abstract Project completion behind schedule is a struggle for the construction sector, affecting time, cost, and quality. This investigation has been necessitated by the lingering nature of project delay risks despite many extant analyses. This study collated expert opinions from the Thai construction sector on salient construction delay variables and their influence on each other for DEMATEL-SD analysis. The collated data were analysed and found consistent with a Cronbach’s alpha of 0.939. Then, the DEMATEL technique was used to establish the influence weight of factors for the System dynamics (SD) analysis. It was discovered that minimising the design error at the preconstruction stage significantly reduces the magnitude of delay. Increasing values of design error and change order increase the rework profile. Besides, the project delivery within the scheduled 232 weeks can be ensured by minimising the threat of design error, design change, change order, rework, productivity problem, and by improving project management. This study adopted a hybrid mathematical system to holistically examine the construction delay risk by comprehensively exploring the dynamics of influencing variables and investigating their impact on the project scheme. The system helps project stakeholders to arrive at an effective decision in overcoming delay risks, thus minimising the cost overrun and improving the project quality.

Identifying and classifying the financial resilience measurement indices using intuitive fuzzy DEMATEL

PurposeThe current study aims to identify and classify the financial resilience measurement indices using the intuitive fuzzy approach.Design/methodology/approachThe present study aims to identify and classify firms' indices of financial resilience measurement using the Fuzzy–Delphi combined method and the intuitive fuzzy DEMATEL technique with interval values. For the study and the literature review, 29 financial resilience indices were identified, and 12 were finalised after screening and localisation. Next, the selected indices were classified into two groups of influencing and being influenced, and the significant range of each one was determined. Finally, the executive and research suggestions were presented based on the obtained results.FindingsThe study results indicate a higher significance level of redundancy and visibility in financial resilience.Originality/valueThe present study is the pioneer study to assess, identify and classify the contributing indices to financial resilience.

Decision-making framework for supplier selection using an integrated MCDM approach in a lean-agile-resilient-green environment: evidence from Indian automotive sector

PurposeToday, proficient practices are required to stimulate along various boundaries of the supply chain (SC) to exploit manufacturing resources economically, effectually and gracefully for retaining operational excellence. Accordingly, varieties of paramount practices, i.e. Lean, Agile, Resilient and Green practices, are integrated in present study with the objective to develop a Decision Support Framework (DSF) to select robust supplier under the extent of Lean-Agile-Resilient-Green (LARG) practices for a manufacturing firm. The framework is developed and validated in the Indian automotive sector, where the primary data is collected based on perceptions of the respondents working in an automotive company.Design/methodology/approachLARG metrics can ponder ecological balance, customer satisfaction, associations, effectiveness and sustainability and thus, the study consolidated LARG practices in one umbrella to develop a DSF. The analytical approach under DSF is developed by the integration AHP, DEMATEL, ANP, Extended MOORA and SAW techniques in present study to evaluate a robust supplier under the aegis of LARG practices in SC. DSF is developed by scrutinizing and categorizing LARG characteristics, where the selected LARG characteristics are handled by fuzzy sets theory to deal with the impreciseness and uncertainty in decision making.FindingsThe study has identified 63 measures (15 for Lean, 15 for Agile, 14 for resilient and 19 for Green) to support the robust supplier selection process for manufacturing firms. The findings of study explicate “Internal communication agility”, “Interchangeability to personnel resources”, “Manufacturing flexibility”, “degree of online solution”, “Quickness to resource up-gradation”, “Manageability to demand and supply change”, “Overstocking inventory practices” as significant metrics in ranking order. Additionally, “Transparency to share information”, “Internal communication agility”, “Manufacturing Flexibility”, “Green product (outgoing)” are found as influential metrics under LARG practices respectively.Practical implicationsA technical DSF to utilize by the managers is developed, which is connected with knowledge-based theory and a case of an automobile manufacturing firm is presented to illustrate its implementation. The companies can utilize presented DSF to impose service excellence, societal performance, agility and green surroundings in SC for achieving sustainable outcomes to be welcomed by the legislations, society and rivals. The framework represents an important decision support tool to enable managers to overcome imprecise SC information sources.Originality/valueThe study presented a proficient platform to review the most significant LARG alternative in the SC. The study suggested a cluster of LARG metrics to support operational improvement in manufacturing firms for shifting gear toward sustainable SC practices. The present study embraces its existence in enrolling a high extent of collaboration amongst clients, project teams and LARG practices to virtually eradicate the likelihood of absolute project failure.

The future of apitourism in Iran based on critical uncertainty approach and DEMATEL/COPRAS techniques

PurposeApitourism is a form of tourism that deals with the culture and traditions of rural communities and can be considered one of the most sustainable methods of development and tourism. Accordingly, this study aims to identify the key factors and plausible scenarios of Iranian apitourism in the future.Design/methodology/approachThis study is applied research. For this purpose, first, by examining the theoretical foundations and interviewing experts, the key factors affecting the future of Iranian apitourism were identified. Then, using a binomial test, these factors were screened. Both critical uncertainty and DEMATEL techniques were used to select the final drivers.FindingsTwo drivers of “apitourism information system and promotional activities” and “organizing ecological infrastructure” were selected for scenario planning using critical uncertainty and DEMATEL techniques. According to these two drivers, four golden beehive, expectancy, anonymous bee and black beehive scenarios were developed. Each scenario represents a situation for apitourism in the future. According to the criteria of trend compliance, fact-based plausibility and compliance with current data, the “Black Beehive” scenario was selected as the most likely scenario. The “Golden Beehive” scenario shows the best case in terms of apitourism information system and implementation of promotional activities and organizing and providing ecological infrastructure. The “Black Beehive” scenario, on the other hand, describes an isolated and vulnerable system.Originality/valueDeveloping plausible Iranian apitourism scenarios helps key stakeholders and actors develop flexible plans for various situations.

Identifying the influential contributing factors to micro-enterprises’ workplace accidents using a hybrid D-DEMATEL-IFISM method

IntroductionMicro-enterprises are acknowledged as one of the most high-risk workplaces often due to poor safety practices and performance. Despite ongoing efforts to reduce these workplace accidents, they remain as a serious problem. Therefore, understanding the relationship between the contributing factors to workplace accidents in micro-enterprises remains a key area of interest for safety professionals. MethodThis paper presents a new integrated approach comprised of a D number Decision Making Trial and Evaluation Laboratory (D-DEMATEL) technique, and an Intuitionistic Fuzzy Interpretive Structural Modeling (IFISM) technique. The DEMATEL technique is applied to determine the cause-and-effect relationships of contributing factors, and D number theory is applied to take into account their uncertain characteristics. Lastly the IFISM technique is used to examine the hierarchical structure of driver-driven relationships. ResultsResults showed that sixteen factors contribute to the micro-enterprises’ workplace accidents in which “repairing or maintaining equipment under unsafe conditions” and “improper use of tools” are the most important causes. The hierarchal structure analysis showed that the root and basic causes of micro-enterprises’ workplace accidents based on the ISM method were the “improper use of tools” and “repairing or maintaining equipment under unsafe conditions”. ConclusionsThis study is the first of its kind to propose a hybrid D-DEMATEL–IFISM method for identifying and evaluating the contributing factors affecting the occurrence of workplace accidents in micro-enterprises. The new method allows insights on contributing factors to be based not only importance, intensity and impact of each identified contributing factor but also on the relationship amongst the contributing factors. Practical applicationThe study presents key information on the main contributing factors to micro enterprise workplace accidents. These results provide safety professionals with evidence which can be used to focus safety efforts, with a view to reducing workplace accidents in micro enterprises.

Modeling the Constraints to the Utilization of the Internet of Things in Managing Supply Chains of Off-Site Construction: An Approach toward Sustainable Construction

Despite persistent calls for cleaner production and improved automation of construction processes, the adoption of the Internet of Things (IoT) in managing the supply chains of off-site construction businesses has been discouraged due to various constraints. This paper methodically identifies and prioritizes the crucial factors that impede the application of the Internet of Things (IoT) in off-site construction. Content analysis and an expert-based evaluation strategy were used to identify and evaluate the constraints affecting Internet of Things adoption in off-site construction. The ISM, MICMAC, and DEMATEL techniques were used to analyze the data. This study identifies the “lack of clear strategy for governing IoT utilization in supply chain management” as the most significant factor that impedes the application of the Internet of Things (IoT) in off-site construction businesses. The outcomes also provide a rich source of insights into off-site construction businesses to clearly recognize the implications of utilizing IoT technologies in managing the supply chains of businesses and what to expect when applying IoT technologies and solutions. While this paper advocates for improved green construction practices, cleaner production, and automation in the construction industry, it has set the stage for integrating IoT technologies in the supply chain management of off-site construction businesses.

Antecedents towards social circular consumption of food wastes in emerging economies: Transition towards food circular economy

AbstractFood waste not only challenges food security but also contributes to carbon gas emissions leading to climate change. Hence, food wastes management evolved as an important measure for sustainability and circular economy. Time and again, food waste management has serious concerns for the population. Despite the growing concept of circular economy in food waste management, there is a need to understand the antecedents which lead to reuse, recycling, and reducing food wastes. The study aims to address the following research question: What are the antecedents for circular consumption of food wastes and how can we prioritize those risks at the bottom of the pyramid? The study aims to understand all the antecedents identified using the Delphi technique and an extensive literature review. The antecedents have been further analyzed and prioritized using the DEMATEL technique. The prime respondents of the study are practitioners, distributors, households, and waste pickers. The study has derived 15 antecedents of food waste management and validated them through experts. The final selected antecedents have been analyzed and prioritized using DEMATEL. The study proposes a new model for circular consumption of food using Delphi and DEMATEL methodology. The antecedents have been further linked to strategizing business for the same. The outcome will help the practitioners to take appropriate actions for managing food waste. The study will add to the managerial and policy recommendations for managing food waste.

Causal analysis of accidents on construction sites: A hybrid fuzzy Delphi and DEMATEL approach

Though some studies have explored the causes of accidents on construction sites, the interdependency among the underlying causes remains elusive. This undermines the efficacy of any decision made by safety experts in reducing accidents’ impact. To fill this gap, a hybrid fuzzy-based framework is developed in this study to comprehensively identify and prioritize critical causes, as well as map interrelationships among these causes. The proposed framework is based on the infusion of the Pentagonal Fuzzy Delphi Method (PFDM) and Fuzzy DEMATEL techniques. Findings show that six main causes and twenty-three corresponding sub-causes (out of forty-seven identified ones) are the major culprits for the occurrence of related accidents. Furthermore, it was revealed that “organizational” and “workplace and environmental” causes turn out to be the most influential causes, while inappropriate safety guidelines and policies, poor safety management system, poor safety culture, poor safety knowledge of management team, the financial instability of firms, and corruption were the predominant sub-causes affecting the related accidents’ impact. To validate findings, several interviews with senior experts are undertaken. The outcomes of this study are vital for the concerned safety decision-makers by highlighting the influential causes debilitating the safety and health of involved workers.

Hybrid Analysis of the Decision-Making Factors for Software Upgrade Based on the Integration of AHP and DEMATEL

Software is a very important part to implement advanced information systems, such as AI and IoT based on the latest hardware equipment of the fourth Industrial Revolution. In particular, decision making for software upgrade is one of the essential processes that can solve problems for upgrading the information systems. However, most of the decision-making studies for this purpose have been conducted only from the perspective of the IT professional and management position. Moreover, software upgrade can be influenced by various layers of decision makers, so further research is needed. Therefore, it is necessary to conduct research on what factors are required and affect the decision making of software upgrade at various layers of organization. For this purpose, decision factors of software upgrade are identified by literature review in this study. Additionally, the priority, degree of influence and relationship between the factors are analyzed by using the AHP and DEMATEL techniques at the organizational level of users, managers and IT professionals. The results show that the priority, weight value, causal relationship of decision factors of users, managers and IT professionals who constitute the organizational level were very different. The managers first considered the benefits, such as ROI, for organization as a leader. The users tended to consider their work efficiency and changes due to the software upgrade first. Finally, the IT professionals considered ROI, budget and compatibility for the aspect of the managers and users. Therefore, the related information of each organizational level can be presented more clearly for the systematic and symmetrical decision making of software upgrade based on the results of this study.

Assessing the factors affecting implementation of unmanned aerial vehicles in Indian humanitarian logistics: a g-DANP approach

PurposeThe purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector.Design/methodology/approachThis research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further.FindingsThis study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics.Practical implicationsThe results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain.Originality/valueThis research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.

Prioritizing Multi‐Interwoven Factors in the Project Management Office Using Delphi and Fuzzy DEMATEL

This study aims to evaluate the cause‐and‐effect relationships of potential PMO functions at project‐oriented organizations. In this research, the Delphi technique was first employed to identify the potential PMO functions, and DEMATEL technique was conducted to evaluate the cause‐and‐effect relationships. According to the research findings, structure determination and project organization were the most effective PMO functions, whereas counseling and training through PMO was identified as the most important function. Moreover, participation in project implementation through PMO was the most affected function. To improve the PMO performance, project‐oriented organizations can focus on effective functions and causes in order to modify and improve them.

Evaluating Climate Change Risks in Supply Chain within the Indian E-Commerce Industry Using Ahp and Dematel Techniques

Evaluating Climate Change Risks in Supply Chain within the Indian E-Commerce Industry Using Ahp and Dematel Techniques

Providing a Model for the Implementation of Qa/Qc System in the Construction of Green Buildings, Prioritizing the Factors Using the Dematel Technique, and Analyzing Them Using the Ahp Method (Case Study of Karaj City)

Providing a Model for the Implementation of Qa/Qc System in the Construction of Green Buildings, Prioritizing the Factors Using the Dematel Technique, and Analyzing Them Using the Ahp Method (Case Study of Karaj City)

An analysis of affecting factors on employee's turnover intention thinking: a case study

Many managers have found that sustainable competitive advantage in organisations depends on human resources and employees who have been involved in their work and also have been able to achieve their personal goals aligning with organisational goals leading to the organisation's success in the market. Therefore, the issue of staff turnover has overriding importance. This study aims to identify and rank the affecting factors causing the thoughts and tendencies in employee turnover intentions. In this research, using the review of the background and interview with experts, nine variables were extracted. The statistical population of this research consists of the staffs working at Shiraz University of Medical Sciences. Among the staffs, 15 staffs were selected using available judgmental sampling method. Finally, based on the results of fuzzy DEMATEL's technique, total inventory (C5) is ranked first.