Search results

Strategic management plays a pivotal role in the growth and success of organizations, significantly impacting their business performance and competitive edge. In today’s globalized markets, strategic management is gaining prominence as a means to enhance company performance and distinctiveness. Within this landscape, the evaluation of organizational effectiveness takes on heightened significance, complemented by the emergence of strategic management frameworks designed to secure enduring competitive advantages for businesses.

One of the best known approaches to organizational resource assessment is the value, rarity, inimitability and organizational-oriented (VRIO) framework. However, this tool comes with inherent limitations that have hindered its advancement, primarily related to the need for less subjective means of identifying and assigning weights to resources and capabilities during the evaluation process. This study, therefore, endeavored to refine the VRIO framework, making it more transparent and empirically robust. To achieve this aim, the framework was combined with the decision-making trial and evaluation laboratory (DEMATEL) method (i.e. a multiple criteria decision analysis (MCDA) method), and a real-life application was conducted.

The evaluation system created was tested, and the results demonstrate that the dual methodology used can increase the understanding of resource appraisal and lead to more informed and potentially better evaluations of resources and capabilities. The strengths and shortcomings of this new structured evaluation model are also analyzed.

The authors know of no prior work reporting the integrated use of VRIO and DEMATEL in this study context.

The risk of adverse events in a hospital evaluation is an important process in healthcare management. It involves several technical, social, and economical aspects. The purpose of this paper is to propose an integrated approach to evaluate the risk of adverse events in the hospital sector.

This paper aims to provide a decision-making framework to evaluate hospital service. Three well-known methods are applied. More specifically are proposed the following methods: analytic hierarchy process (AHP), a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology developed by Thomas L. Saaty in the 1970s; decision-making trial and evaluation laboratory (DEMATEL) to construct interrelations between criteria/factors and VIKOR method, a commonly used multiple-criteria decision analysis technique for determining a compromise solution and improving the quality of decision making.

The example provided has demonstrated that the proposed approach is an effective and useful tool to assess the risk of adverse events in the hospital sector. The results could help the hospital identify its high performance level and take appropriate measures in advance to prevent adverse events. The authors can conclude that the promising results obtained in applying the AHP–DEMATEL–VIKOR method suggest that the hybrid method can be used to create decision aids that it simplifies the shared decision-making process.

This paper presents a novel approach based on the integration of AHP, DEMATEL and VIKOR methods. The final aim is to propose a robust methodology to overcome disadvantages associated with each method.

Industry 4.0 implementation appears to have a far-reaching effect on consumer demand. Research findings on market prospects and implementation status are also rare. The purpose of this study is to address the essential factors regarding the implementation status of the Indian manufacturing industries that would entail a complete implementation of the Industry 4.0 innovations in developing nations and execute them entirely to achieve related benefits.

The primary factors impacting the Industry 4.0 implementation status recognized a focus on comprehensive literature analysis and its validation by recommendations from 12 specialists with substantial expertise in Industry 4.0. The DEMATEL technique has been implemented in this analysis to examine the structure of causal interactions among the recognized essential factors.

From a literature analysis and recommendations from specialists, 16 essential factors are recognized. Using DEMATEL techniques, ranking of the essential factors has been obtained according to their importance. Moreover, the findings show the cause and effect interactions among essential factors in the perspective of Industry 4.0 innovations in Indian manufacturing industries.

The current research is restricted to Indian manufacturing industries (developing nations).

It will help industries move towards an Industry 4.0 implementation by knowing their status. A research model is being developed, including specific vital features of Industry 4.0 as indicators for its implementation. Nevertheless, few are renowned for how industries, especially in developing nations, perceive the possible effects of Industry 4.0 technological innovations and industrial efficiency.

To the best of the authors’ knowledge, the present research contributes first to be carried out regarding the model of information about the nature of causal interactions among the recognized essential factors of Industry 4.0 in the surrounding of Indian manufacturing industries to address the implementation status of Industry 4.0 innovations using DEMATEL technique.

The 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.

Seventeen 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.

The 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.

This 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.

The 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.

Kids get exposed to advertising on social media platforms when they visit them to perform various goals. The purpose of this study is to find out the factors which affect kids' behaviour when the kids encounter advertising on social media and also to establish causal relationships amongst the factors of social media advertising (SMA).

A total of 11 factors of SMA have been identified with the help of experts and the causal relationships amongst the SMA factors have been constructed by the implementation of decision-making trail and laboratory evaluation (DEMATEL). Based on the established relationships, a causal diagram has been also developed to understand the structural nature of interdependence amongst the factors.

DEMATEL technique is based on logical steps, which have assisted in categorising the identified factors into two groups: cause group and effect group. Cause group factors are the reasons for the effect group factors to occur. Customisation, entertainment, information and interactivity have been observed as cause factors whereas, relevance, engagement with SMA, purchase intention, product involvement, advertising value, attitude towards SMA and irritation have been observed as effect factors. Product involvement is found to have the highest level of interaction with all other factors. Information and interactivity are observed to influence all other factors.

Kids possess a limited understanding of the selling intent of advertisers which makes kids vulnerable to advertising. This study supports that the content of the advertisement should be kept in accordance with the need of kids and also suggests that marketers should emphasise cause group factors which derive subsequent consequences on effect group factors. The foremost limitation of this study lies in the process of identifying the factors through expert opinions. The sets of contextual relationships may vary when different experts are considered.

This study strives to identify the factors which affect kids' understanding of SMA and also establishes causal relationships amongst them. This kind of study is unique in state of the art and to the authors' knowledge no significant research has been conducted in India which involves establishment of inter-relationships amongst SMA factors that affect kids' behaviour.

Supply chain finance (SCF) is an advanced financing solution for medium and small organizations. However, due to its nascent stage, SCF is still struggling with its application in the supply chain. The blockchain application in SCF can bring lots of opportunities and smart techniques to deal with financing to organizations. However, some factors restrict the proper adoption of blockchain in SCF. Therefore, this study aims to identify and analyze the factors obstructing blockchain adoption in SCF.

The present study applied a hybrid fuzzy DELPHI-AHP-DEMATEL to validate and analyze the factors. The fuzzy Delphi techniques were adopted to validate the identified factors. Thereafter, the analytic hierarchy process (AHP) has been used to prioritize the validated factors. Further, the decision-making trial and evaluation laboratory (DEMATEL) method has opted to classify the factors into cause-and-effect groups.

The result of the study revealed that lack of technological competence and confidentiality leaking are the most prioritized factors and act as the prime factors for the obstacles in the blockchain application in the SCF. The application of the DEMATEL method revealed that the highest causing factor is authenticity, and the highest effecting factor is high cost.

The current study enhances the knowledge and information of managers and policymakers about the challenges associated with the blockchain application in SCF as well as provides better insight to deal with various factors obstructing blockchain adoption in SCF.

The current study is the first of its kind, where factors obstructing blockchain adoption in SCF are identified and validated with the help of experts and practitioners by incorporating the fuzzy Delphi method. Thereafter, the validated factors are prioritized by using fuzzy AHP and fuzzy DEMATEL techniques helps to identify the cause-and-effect group, which opens the door for future research work.

The purpose of this paper is to develop the strategy map (SM) of an Iranian automotive industry and the causal and effects relations of the SM’s variables though fourth generation of balanced scorecard (BSC) and fuzzy DEMATEL (decision-making trial and evaluation laboratory) technique.

This research has employed a fuzzy DEMATEL approach in order to find cause and effect relations. At first step, CSFs in Company A’s SM were determined. Then four experts’ views of Company A’s strategic planning department were gathered and calculated by fuzzy set theory.

Results showed the important role of customer perspective in supporting and achieving the organization’s vision which ultimately will lead to fulfillment of the financial objective of the company through satisfied customers. In other words, the dominant approach to logic of SM design in Company A and the obtained results from this research indicate, Company A can achieve strategic result with a more prominent role of customer and financial perspective, through employing the enabler perspective, i.e. learning and growth perspective.

Current study is limited to Iranian automotive industry. So, the strategic planning managers and future researchers shall consider their own company’s strategic structures for developing their SM.

To the best of knowledge of the authors, it is the first attempt, particularly in the context of Iran, aimed at using fourth generation of BSC and fuzzy DEMATEL technique in an automotive industry which led to the confirmation that these two approaches can jointly be employed for the identifying cause and effect relations in SM and clarification and easy understanding of it. This proposed research structure can be a suitable base for the development of SM in other companies.

The aim of this paper is to predict and minimize the risks of oil, gas and petrochemical projects. Besides, reducing the likelihood of occurrence and minimizing risks impact on the projects to reduce the probable costs and improve the economic situation is another purpose of this paper.

This paper provides a fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) – a technique that assist to solve decision-making problems – and IP (Impact & Probability) table methods to identify and analyze critical risks in energy projects, and then fuzzy Binary Logistic Regression (BLR) in order to predict the probability of each level of risk for more efficient risk management in projects. Furthermore, in this paper, the fuzzy BLR (FBLR) is optimized such that the probability of a high level of risk for the implementation of the project has been minimized using meta-heuristic algorithm.

The results from the point of view of experts show that combination of fuzzy DEMATEL with FBLR approach as well as using SA algorithm, in order to optimize the high level of risks, can provide a smart approach to managing risks with more success.

The application of the proposed method is illustrated via a real data set from energy projects.

We propose combined fuzzy DEMATEL and FBLR methods to predict and optimize the risks of the energy projects, which is the innovation of this paper.

The inclusion of sustainable practices in the service only supply chain (SOSC) is less evident in the literature. The aim of this research is to analyse the enablers of sustainability to be implemented in (SOSC).

A rigorous literature review and experts’ outlook are used to identify fifteen key enablers of sustainability to be implemented in the SOSC. These key enablers are analysed by the interpretive structural modelling (ISM) and fuzzy decision making trial and evaluation laboratory (DEMATEL) technique. A case study of an Indian hospital is taken for testing the relevancy of the research.

ISM identified the six hierarchical levels of the enablers and MICMAC classified the enablers into four categories based on the driving and dependence power of the enablers. The fuzzy DEMATEL technique categorized the enablers into cause and effect groups. Four enablers were found in the effect group and eleven enablers were identified in the cause group.

This research will help the managers in identifying the enablers of sustainability to implement in the SOSC and to handle the critical enablers with care.

This is the first of its kind of study which not only identifies the key enablers to achieve sustainability in the SOSC but also derives the hierarchy levels of enablers and categorizes these enablers into cause and effect groups.

Food supply chains (FSCs) are fast becoming more and more complex. Sustainability is a necessary strategy in FSCs to meet the environmental, economic and societal requirements. Industry 4.0 (I4.0) applications for a circular economy (CE) will play a significant role in sustainable food supply chains (SFSCs). I4.0 applications can be used in for traceability, tracking, inspection and quality monitoring, environmental monitoring, precision agriculture, farm input optimization, process automation, etc. to improve circularity and sustainability of FSCs. However, the factors integrating I4.0 and CE adoption in SFSC are not yet very well understood. Furthermore, despite such high potential I4.0 adoption is also met with several barriers. The present study identifies and analyzes twelve barriers for the adoption of I4.0 in SFSC from an CE context.

A cause-effect analysis and prominence ranking of the barriers are done using Rough-DEMATEL technique. DEMATEL is a widely used technique that is applied for a structured analysis of a complex problems. The rough variant of DEMATEL helps include the uncertainty and vagueness of decision maker related to the I4.0 technologies.

“Technological immaturity,” “High investment,” “Lack of awareness and customer acceptance” and “technological limitations and lack of eco-innovation” are identified as the most prominent barriers for adoption of I4.0 in SFSC.

Successful mitigation of these barriers will improve the sustainability of FSCs through accelerated adoption of I4.0 solutions. The findings of the study will help managers, practitioners and planners to understand and successfully mitigate these barriers.