Industrial development has made major breakthroughs in the last decade in the wake of increased production, government policies and public demand. At the same time, problems related to environmental sustainability have become a major concern for producers. The unsatisfactory dimension of environmental protection has always been highlighted, because the environmental management system (EMS) is ignored and not consistently implemented in certain Tunisian companies. This increasing interest in environmental consciousness is pushing manufacturers to aspire to adopt successful environmental management strategies. Organizations are in fact increasingly responsible for monitoring and enhancing their environmental efficiency. The present work is intended to resolve these issues by establishing the essential factors and modelling their interrelationships in the Tunisian context. By reviewing literature and expert opinions, 14 critical factors have been identified which leads to responsive in the implementation of EMS- based ISO 14001. For better understanding, the MICMAC research was used to identify the critical variables according to their driving and dependence power. The present study highlights “Top management commitment and support” and “Government policies and legislation” as the most significant factors for ISO 14001 implementation. This research will facilitate organizations' readiness for implementation of ISO 14001 by providing a detailed understanding of mutual relationships among EMS factors based on ISO 14001.

The development of the Islamic State (IS) in Southeast Asia creates changes in the social order in a direct and indirect manner. This study aims to identify the factors that influence the development of the Islamic State (IS) and analyze the influence of its development on social vulnerability in Southeast Asia. This study employed a mixed-method supported by the Interpretive Structural Modeling (ISM), Analytical Hierarchy Process (AHP), and System Dynamics (SD). Based on the results of research from relevant experts, this study uncovered seven the most dominant and structured problems. Furthermore, there are fourteen elements related to the social vulnerability of the Islamic State (IS) in Southeast Asia. The social vulnerability value is 0.01 and is categorized as Low Vulnerability. The aspects that influence the development of Islamic State indicate that the existing social system in Southeast Asia is strong enough in encountering the influence of ideology and the development of the Islamic State.

The challenge of improving construction safety performance is observed in many countries. Safety is considered by practitioners and researchers as an important topic in construction industry sites. Despite the findings of implementing safety programs, it is revealed that accidents and injuries are not perfectly reduced in construction projects. In the literature, authors tried to establish several frameworks and proposed methods to reach this objective by identifying the key factors affecting safety performance. The aim of this study is to present critical factors used in the implementation of safety programs and to explore their relationships using Interpretive Structural Modeling (ISM). Then, via ISM technique, the overall structure among factors was revealed. By using the Fuzzy MICMAC analysis, the factors were classified into four groups based on their driving power and dependence power. The results showed that “Safety Training” and “Management Commitment” have the most important impact on safety programs, but also it is very important to study the interactions among factors at different stages. This analysis offers key resources for practitioners and decision makers by analyzing the relationships between factors and its driving or dependence strength. These results shed lights on the effective development of measures to facilitate the implementation of safety programs in the construction sector.

The aim of this paper is to provide a practical approach by using an interpretive structural modeling (ISM) approach to prioritize the most critical success factors that influence the supply chain output in small and medium enterprises (SMEs). The analysis of MICMAC was also considered for the identification of factors having a high power of influence. The findings show that the most significant factors with the highest driving power are associated with innovation and communication tools. Such findings can assist policy makers, administrators, and practitioners in formulating supply chain effectiveness strategies and policies.

The nature and complexity of today’s supply chains have predisposed them to various risks, which are described under different terms, including disturbances, uncertainties and riots. Under these conditions, organizations are required to manage their supply chain in a way that is responsive to changes. The purpose of this study is to analyze the relationships between the strategies of coping with disturbances in supply chain networks. This is an applied research and using the research literature, 41 factors are selected for the solutions of coping with risk in supply chain networks. Then, these factors are entered in a questionnaire and presented for some supply chain experts. After that, Interpretative Structural Modeling (ISM) and Fuzzy MICMAC are implemented to rate the solutions of coping with risk in supply chain networks. The results show that the establishment of a supply chain continuity system at the seventh level is the basis of agility in the supply chain. The proper and efficient design of processes in the supply chain network will lead to proper operation in management solutions and appropriate synchronization in the supply chain networks. Using appropriate management solutions in synchronization leads to the integration and proper sharing of information within a supply chain network and between various supply chains and government. Additionally, using the synchrony and integration of supply chain networks, it is possible to design the proper supply chain network and appropriate communication between employees and network elements.

The role of sustainability in supply chain is becoming critical due to increasing environment related problems and societal issues. Sustainable Supply Chain Management (SSCM) helps in reducing environmental degradation as well as social and economic implications. SSCM practices in Indian industries are in initial stage of implementation and industries find difficult to implement. Therefore, in present research, key enablers to initiate SSCM are recognized and analyzed. This research has recognized twelve enablers with the help of previous researches and expert survey. A Structural framework has been drawn with the use of Interpretive Structural Modeling (ISM) technique, to understand the relationship among the identified enablers and also to find the reliance of one on another. Further, MICMAC analysis has been employed for evaluating these identified enablers in accordance with Driving power and Dependence power. From ISM Methodology “Government policies and supportive systems” is found to be a key bottom enabler, which is important to implement the SSCM in Indian industries. For further future perspective, Decision Making Trial and Evaluation Laboratory (DEMATEL), can also be recommended for evaluation purpose. Present research may be helpful to find the importance of different enablers for successful implementation of SSCM in Indian industries.

Since strategy planning describes organization strategy and helps people understand it, it has a significant role in strategic management by drawing cause-and-effect relations; this plan provides the management more power to correct administrating of strategies. In this paper, Interpretive Structural Modeling (ISM) approach is used to produce a strategic planning for tile and ceramic industry. In the method introduced in this paper, after identifying the key measure of function assessment in case study of tile and ceramic by using ISM stages, cause-and-effect relations among the measures have been identified and finally the diagraph which is the strategic plans in four dimensions (BSC) has been drawn.

Technology transfer, from research and technology organizations (RTOs) toward local industries, is considered as one of important and significant strategies for countries & apos; industrial development. In addition to recover the enormous costs of research and development for RTOs, successful technology transfer from RTOs toward local firms forms technological foundations and develops the ability to enhance the competitiveness of firms. Better understanding of factors influencing process of technology transfer helps RTOs and local firms prioritize and manage their resources in an effective and efficient way to maximize the success of technology transfer. This paper aims to identify important effective factors in technology transfer from Iranian RTOs and provides a comprehensive model, which indicate the interactions of these factors. In this regard, first, research background is reviewed and Cummings and Teng’s model (2003) [Cummings, J. L., & Teng, B.-S. (2003). Transferring R & D knowledge: The key factors affecting knowledge transfer success. Journal of Engineering and Technology Management, 20(1-2), 39-68.] was selected as the basic model in this study and it was modified through suggesting new factors identified from literature of inter-organizational knowledge and technology transfer and finally a Delphi method was applied for validation of modified model. Then, research conducted used Interpretive Structural Modeling (ISM) to evaluate the relationship between the factors of final proposed model. Results indicate that there were twelve factors influencing on technology transfer process from Iranian RTOs to local firms and also the intensity of absorption capability in transferee could influence on the intensity of desorption capability in transferor.