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 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 objective of this paper is to examine the determinants of the supplier selection process with green consideration. Thus, this analysis gathers a collection of factors from established literature of green supplier selection (GSS), including seven categories and 58 attributes. The objective of this research is to classify the key factors which are presented as qualitative information. Fuzzy logic rules are used to transform qualitative expert knowledge into numerical data. Then, we adopt the Delphi method (DM) to filter and rate unneeded factors according to their relevance. The results indicate 24 important factors for the GSS process. Five categories are included: Performance and technology ability, Environmental management, Pollution control, Quality and Service. The most significant factors are recognized as green research and development, eco-design, green image, green packaging and remanufacturing. Finally, the debate is held on the basis of the findings and future research are also recognized and stated.

Recently, Lean Six Sigma (LSS) has attracted much attention from both researchers and practitioners. In fact, many published papers used a quantitative research methodology to build and test theory in the field of LSS implementation in manufacturing area. Very few studies have been reported about the critical success factors influencing of six sigma implementations. The aim of this study is to present the results, from an empirical evidence, of Six Sigma implementation in Tunisian manufacturing. Therefore, fourteen main factors have been identified through literature review and questionnaire survey. Interpretive structural modeling (ISM) has been used to develop a hierarchical structure for analyzing the interactions among the key factors. By using the MICMAC technique, the barriers were classified into four groups according to their driving power and dependence power. Our finding provides important insight to managers and practitioners about factors in the LSS implementation process.

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.

In today’s complex and competitive environment, supply function becomes more a strategic differentiator and a core competency. This function is strongly related to relationship between buyer and supplier. In addition, buyer supplier relationships (BSR) have undertaken considerable changes during the last decade. Although previous empirical research has found the importance of identifying factors that influence BSR, the present paper analyses the factors influencing the successful relationship between buyer and seller. Based on the Interpretive Structural Modeling (ISM), the complex interrelationships between the established factors are inspected. Classification of factors has been carried out based on dependence and driving power by using MICMAC analysis. The present study highlights “Innovation and technology” and “Information exchange” as the most significant factors with high influential power for the BSR. This study aims to aid the decision makers (buyer or supplier) in evolving effective business strategies.