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The purpose of this paper is to apply a multi-criteria decision-making (MCDM) framework to evaluate distribution strategies for an e-tailer. An application of MCDM method, the hybrid DANP–VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) model, is used for e-tailers’ distribution strategy evaluation. The choice of distribution strategies under various dimensions is evaluated.

The authors used a hybrid MCDM model to solve the decision-making framework, which combines Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based analytic network process and VIKOR method. Data were collected from the experts (e-tail manager, logistics manager, operations manager and distribution center (DC) manager) using two questionnaires, first for the influential relationship among the criteria and dimensions and second for a performance rating of each alternative (distribution strategies) against each criterion.

DANP with VIKOR method prioritizes the distribution strategies in the following order: DC shipment, drop shipment, click and collect, store shipment and click and reserve. Performance gap was calculated based on the VIKOR method to provide distribution strategies to an e-tailer under different situations. The authors infer that in developing country, product characteristics and transportation have a major influence on deciding the distribution strategy.

Decision-making framework will provide e-tail mangers a knowledge-based understanding to select the distribution strategy under the different situations related to the performance, product, e-tailer and external characteristics for smooth order fulfillment process. The insights developed by this research provide a framework for rational decision making in distribution strategy selection in e-business.

This is the first kind of a study which offers a decision framework for e-tail managers on how to choose distribution strategies under different situations which are related to the performance, product, e-tailer and external characteristics.

The purpose of this research article is to investigate the critical risk factors associated with the digitalization impact on the Indian construction industry, as these firm plans to implement digitalization in order to improve their construction management processes.

In this research article, risk factors and dimensions are taken from diverse industries and validated in the construction domain by industry and academic experts. Further, multi-criteria decision-making techniques are employed to assess the Indian construction sector scenario quantitatively. The interrelationship and weightage of risk factors and dimensions are determined by the Fuzzy Decision-making Trial and Evaluation Laboratory Analytic Network Process (DANP) method. However, the method Grey Technique for the Order of Prioritization by Similarity to Ideal Solution (TOPSIS) is used to determine the ranking of each risk factor.

This study finds 14 critical risk factors along with four risk dimensions. Operational and financial dimensions are significant risk dimensions. Whereas the threat of high outlay and low yield is a significant risk factor in construction. Besides that, the interrelationship among risk factors, the weightage of each factor and the ranking of critical risk factors are also identified.

This research article uses Fuzzy DANP and Grey TOPSIS techniques as exploratory research methods with a limited group of construction professionals from a leading Indian construction firm. Furthermore, comprehensive confirmatory research can also be performed with a large group of construction experts using advanced analytical techniques to validate the ranking of critical risk factors.

The findings of this study provide insight into the knowledge of construction firms by emphasizing significant risk factors related to digitalization in construction operations. Another finding of this study shows that the risks associated with digitalization in construction are similar to those in manufacturing, where high outlay and low yield hold a significant role in the transformation process.

The research is unique since there have only been limited studies in the Indian construction scenario to analyze the significant risks associated with digitalization. Furthermore, this study demonstrates that the combination of Fuzzy DANP and Grey TOPSIS techniques may be used successfully to prioritize risks in construction digitalization, which is still in its early phases.

The purpose of this paper is to explore key factors or criteria of sustainable supply chain management (SSCM) influencing Indonesian coal companies, using “adoption, implementation, and performance” (A-I-P) of SSCM, thru three means: first, to investigate which criteria have higher weight to achieve SSCM in Indonesia; second, to see whether there are any differences between the Indonesia case and existing literature of SSCM; third, to highlight any causal relationships between the Indonesia case and the SSCM theory.

DEMATEL-based analytic network process (DANP) questionnaire survey with a theoretical SSCM model is applied to conduct an empirical test for the coal production and supply chain companies in Indonesia.

The “performance” dimension out of the A-I-P of the SSCM is the most important one, while the “adoption” dimension is the least. Out of the 12 criteria under the three dimensions, the “operational, economic, environmental, and social” factors under the category of the performance dimension and the “ISO 14001 certification” criteria belonging to the dimension of “implementation” are the top five key factors in the SSCM.

There are some limitations in this study. First and foremost is the relatively small sample size with a limited geographic area, although they are unavoidable owing to one country case study.

The test results are helpful to draw guidance for sustainable supply chain managers in implementing efficient SSCM in the wave of tough competition and changing marketplace.

This study contributes first to developing a theoretical framework for SSCM under the A-I-P model and second, to applying DANP to an empirical case of SSCM of the coal industry in Indonesia. As a result, the authors draw helpful guidelines and policy implications for SSCM of the coal industry, referring to the A-I-P dimension as drivers and enablers for the SSCM performances of the industry.

The purpose of this study is to measure the R&D performance of 81 cities in Turkey by using a scientific approach.

A four-step solution approach is developed for this problem. In the first step, a hierarchical structure of 14 indicators (including number of patents, publications, R&D expense, etc.) in three dimensions is constructed. In the second step, explicitly and implicitly spatial indicators such as university location and R&D manpower are mapped by using geographic information system (GIS). In the third step, a hybrid multi-criteria decision making model, namely, DANP that combines decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (ANP) techniques is applied to assign different level of importance to the indicators. In the last step, Višekriterijumska Optimizacijai kompromisno Rešenje (VIKOR) method is used to rank the performance of 81 cities. Obtained results are visualized using GIS to show the pros and cons of each city in terms of R&D performance.

Results of the paper show that Istanbul, Ankara and Konya are ordered as contenders of best R&D performances and on the contrary, Igdir, Sirnak and Tunceli are ordered as the worst R&D performances among 81 cities.

One limitation of the study can be the considered criteria. However, all the criteria are obtained from literature and experts; thus, the paper covers as much criteria as possible.

The proposed study may allow Ministry of Science, Industry and Technology of Turkey to formulate more effective strategies to improve cities’ R&D performance. In addition, any country can apply the same methodology for measuring the R&D performance of their cities by using their related data. As the worst R&D city performances belong to the eastern part of Turkey, it can be deducted that the socio-cultural structure of the eastern part of the country needs improvement.

To the best of the author’s knowledge, this is the first study which applies a GIS-based MCDM approach for R&D performance measurement. Thus, the value of this paper belongs to both literature and real life.

The successful transition towards the circular economy is a requirement of this technological era. The objective of this study is to identify critical success factors behind the successful transition to the circular economy.

A systematic literature review and experts' inputs are used to identify the major critical success factors of a successful transition towards a circular economy. Further, DANP is applied to discover the interrelationships among the critical success factors dimensions by analyzing causal relations between the relevant critical success factors. Additionally, the ranking of significant critical success factors for the successful transition towards the circular economy is determined.

This study has used the DANP methodology to understand the relationships among the five dimensions and the twenty-two critical success factors and identified the key influencing critical success factors through their global weights. Research findings suggest that “vision regard to a circular economy” has the highest weights, followed by “financial sustainability” which is regarded as the most important CSF.

The outcomes of this work may help organizations on issues related to the transition of the linear economy towards circular economy, in understanding the degree of importance of the each critical success factors, based on which the organizations can formulate an effective strategy to systematically emphasize critical success factors as per their importance for the successful transition towards circular economy.

This study tries to explore and analyze critical success factors of the transition from the linear economy to a circular economy. Further, the finding of this study provides deeper insights into academia and mangers that helps to formulate their action plan for moving towards the circular economy.

The decision to become international is a highlighted organisational decision that affects all dimensions at all firm levels. Human resources are also among the parts of the organisation affected by this decision. Paying attention to employees can speed up and facilitate this process. Organisational integrity is one of the most significant issues that must be considered. In this regard, identifying, investigating and planning to deal with the destructive effects that may influence the employees of small and medium-sized enterprise (SMEs) in internationalisation, are among the subjects that have so far received less attention and should be studied more. The present study explores the destructive influences of internationalisation on the employees of SMEs by a hybrid multi-layer decision-making model-psychological solution. First, by reviewing the literature, the destructive impacts of internationalisation on employees are extracted. In the next stage, these factors are screened according to the condition of the SMEs in an emerging economy by interval-valued intuitionistic hesitant fuzzy Delphi (IVIHF-Delphi). The impact of these factors on each other is then evaluated applying interval-valued intuitionistic hesitant fuzzy DEMATEL-based ANP (IVIHF-DANP). Consequently, the highlighted destructive impacts are determined and the psychological solutions to face them are provided.

The sustainable and circular growth of agro-produce is crucial in today's era. The current paper focuses on identifying the drivers which promote sustainability as well as circularity in the agro-produce supply chain and favor its implementation in agro-produce supply chain.

Drivers are identified by carrying out a brief literature review and then short-listed based on the expert's opinion. The crucial drivers identified are then categorized into four groups, i.e. farms, social, government and organization. A DEMATEL-DANP approach is used to analyze the relation among subfactors and factors by deriving network relations map. Further, the weights of each subfactor are measured followed by calculating the ranks of the drivers in significance with successful implementation of sustainable circular economy.

This study has applied DEMATEL-DANP approach to analyze the relationship among four factors and twelve sub factors and their contribution towards adopting the culture of sustainable circular economy in agro-produce supply chain. The results show that “Integration of farmers” and “Updated infrastructure and tools of the farm to promote diverse farming” are primary drivers for implementing SCE in APSC.

The research explored the domains of sustainability and circularity separately. Drivers that could accelerate the implementation of circularity in agro-produce in a sustainable manner were identified. This will help in designing sustainable circular model for working of the agro-produce supply chain.

This study aims to identify and prioritize barriers to corporate social responsibility (CSR) in the construction sector.

A literature review was first conducted to identify barriers to CSR performance. After that, construction professionals were invited to validate the appropriateness of the obstacles. The discussion allowed the establishment of a list of barriers to CSR performance and their corresponding categories. Data collected from the survey were then analyzed to prioritize the importance of these barriers by the fuzzy DEMATEL-based ANP (DANP) technique.

The findings presented 16 barriers to CSR, which were categorized into four clusters. The fuzzy DANP analysis showed that strategic vision is the most crucial cluster, followed by the measurement system, stakeholder perspective and scarce resources. Among the sixteen barriers examined, lack of awareness, knowledge and information of CSR; low priority of CSR; lack of metrics to quantify CSR benefits; lack of guidelines and coherent strategies; and lack of CSR enforcement mechanism are the five most crucial barriers.

This study is one of the first that proposes a comprehensive model to prioritize barriers to CSR performance of contractors considering their interrelationships. It provides construction stakeholders with a framework for understanding the linkage between the barriers and CSR framework under the umbrella of stakeholder theory. Thus, the findings might assist construction practitioners and academics in fostering the success of CSR implementation.

The invention and use of mobile commerce (m-commerce) technology have progressed in recent years. In small to medium-sized enterprises (SMEs), the decision to implement business-to-business m-commerce is a multiple-criteria decision analysis problem that involves both qualitative and quantitative factors, and its evaluation may be based on imprecise information or uncertain data. Furthermore, there may be significant dependences or important feedback among different levels of criteria or alternatives. However, most conventional decision models cannot capture these complex interrelationships. The purpose of this paper is to adopt a new hybrid multiple attribute decision model (MADM) model to evaluate the implementation of business-to-business m-commerce by SMEs in Taiwan to enhance the thinking of management and improve decision gaps.

In this study, the authors present the use of a new hybrid MADM combined with a decision-making trial and evaluation laboratory (DEMATEL) method to construct an influential network relationship map (INRM) and find the influential weights of DANP (DEMATEL-based ANP) in criteria from the influential relationship matrix, and the modified VIKOR method using influential weights to evaluate and integrate the criteria performance in the gaps and to analyze how to reduce the gaps to evaluate the decision to implement business-to-business m-commerce by SMEs based on INRM.

The findings of using the new hybrid MADM model can efficiently and successfully be applied to the business-to-business m-commerce of SMEs to improve and reduce the performance gaps among each criterion/aspect when setting improvement strategies for achieving an aspiration level based on INRM.

This study achieves the following: successfully building a decision network (called an influential network relation map (INRM)) of the technological advances and implementations of business-to-business m-commerce for solving the inter-dependence and feedback of criteria/aspects in the real world problem; how changing effective solutions from existing performance of situations/alternatives into aspiration levels to fit the current competitive markets in the business-to-business m-commerce of SMEs; and efficiently shifting from ranking and selection when determining the most preferable approaches to performance improvement by modified VIKOR methods.

Corporate social responsibility has gradually become an essential enterprise responsibility under stakeholders’ expectations. Employee care strategies involve both qualitative and quantitative factors and are receiving special attention with the advent of the information age. In previous studies, a company’s policy of employee care may not fit with the needs of the employees. Consequently, the purpose of this paper is to investigate enterprises’ employee care from the employee’s perspective by adopting a hybrid multiple attribute decision making (MADM) model.

This study is based on 159 interviews with senior employees and/or department managers using a survey questionnaire. This study uses the MADM model to conduct the analysis. First, this research study used Decision-Making Trial and Evaluation Laboratory (DEMATEL) to construct an influential network relations map of the 4 dimensions and 13 criteria of employee care. Second, this study uses DEMATEL-based Analytic Network Process to conduct a weight analysis for each dimension and criterion. Third, this study uses VIKOR to calculate employees’ level of satisfaction as well as the gap from the “aspired level.”

The results of the study revealed the critical factors influencing employee care and proposed a systematic plan to be used as a reference for improvement. The improvement sequence revealed the following order: Equal employment opportunities→Good industrial relations and benefits→Responsibility to train and educate employees→Occupational health and safety. The empirical results showed there was still 35 percent room for improvement in the enterprises’ implementation policy of employee care.

The implementation of employee care has become an important issue for corporations since it helps to sustain and to increase an enterprise’s competitiveness in the business environment. However, the extant literature on employee care comes from enterprises’ perspectives instead of from employees’ perspectives. This research investigates the key factors of employee care and successfully shows MADM to be an effective model for the planning and implementation of corporate social responsibilities’ employee care from the perspective of employees.