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The purpose of this chapter is to identify and analyze various critical success factors (CSFs) that can facilitate retailing business in Thailand. This chapter further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them. A framework for Thai retailers has been developed, wherein the hierarchical interrelationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs. In the present research, 15 CSFs have been identified through literature review and expert opinions. The methodology employed in this study provides a mechanism to conduct an exploratory study by identifying the factors and analyzing their interactions through the development of a hierarchical framework. The proposed framework developed through qualitative modeling is an effort to understand relevant factors that can apply to the Thai retailers. This study makes a significant contribution in the literature of retailing business, which captures the perspective of different customers.

In recent years, sustainable issues have gained increasing importance in the higher education sector across the country. To remain competitive, higher education institutions (HEIs) have to engage themselves in providing world-class opportunities for higher education and research so that the beneficiaries may not be at a disadvantage in the international level. However, many HEIs still encounter barriers that can affect their growth. The purpose of this study is to identify and interpret the most significant barriers affecting the growth of HEIs in India and understand the mutual interactions and interdependence among them.

In this study, 12 barriers affecting the growth of HEIs in India were identified and sorted by literature review, and these were validated through discussion with experts. Contextual relationships were drawn between them during brainstorming sessions. A hierarchical, seven-level structural model of these barriers affecting the growth of HEIs was developed by utilizing the total interpretive structural modeling (TISM) approach.

The results of this study showed “lack of climate change research” as the topmost outcome of the model having the highest dependence and lowest driving power. “Facilitator domination over academic experts” occupied the bottom-level input, compared to other barriers of the model, with highest driving power and lowest dependence. Further, Matrice d'Impacts Croisés – Multiplication Appliquée à un Classement (MICMAC) analysis was also performed to categorize the identified barriers for better understanding. Under MICMAC analysis, five barriers were categorized as driver barriers, four barriers as dependent barriers and the rest as linkage barriers, while none as autonomous. A TISM-based model that partitioned the barriers into different levels was developed, showcasing direct and important transitive relations.

The TISM-based model developed in this study may provide a more realistic approach to the problems faced by decision-makers, academicians and top managers in the growth of HEIs in India. Thus, it will provide a roadmap to focus on the most influential barriers and reduce or eliminate them.

The present study identified major barriers that when dealt with can help overcome the effect of other barriers preventing the growth of HEIs in India. It also introduces a model to identify and manage the barriers by understanding the effectiveness of each barrier and minimizing the overall effect in Indian HEIs. Moreover, the analysis of interdependence and interactions studied among these barriers may also help decision-makers, academicians and top managers to find deeper insights, prioritize and rectify them, to re-establish the growth of HEIs and gain a competitive advantage.

Recently, sustainability aspects are gaining importance among supply chain management (SCM) research field, hence this study aims to explore barriers to sustainable supply chain management (SSCM) implementation in Egyptian industries and the interrelationships among these barriers to provide a structured detailed model for barriers and suggest recommendations to deal with these barriers.

The paper is an empirical study with a descriptive research approach using qualitative methodology. Data were collected through interviewing experts involved in sustainability implementation within supply chain functions. Afterward interpretive structural modeling (ISM) for barriers was conducted to develop a structured model representing possible interrelationships between barriers.

Findings have reported slight differences among barriers to SSCM implementation in Egyptian industries other than those stated previously. ISM analysis helped in shaping barriers into a detailed structured model where interrelationships among barriers can be clearly defined. Additionally, based on the data collected and the ISM model, this study managed to offer recommendations to deal with these barriers.

Future researches might consider developing ISM analysis for a smaller number of barriers, or focus on each of internal and external barriers individually to minimize ISM analysis complexity and enhance its accuracy. As ISM analysis technique is highly dependent on experts' opinions and experience, validation is highly recommended either by structural equation modeling (SEM) or linear structural relationship approach.

This study provides insights for managers about internal and external barriers to SSCM implementation in Egyptian industries, a detailed structured model for interrelationships among these barriers and recommendations to deal with these barriers.

This study is one of the very first studies to implement ISM for barriers to SSCM on data collected from Egyptian industries. Consequently, it will direct further research focusing on developing strategies or recommendations to overcome these barriers.

This paper is a research note on “Quality framework in education through application of Interpretive Structural Modeling” (Sahney, S., Banwet, D.K. and Karunes, S. (2010), Quality framework in education through the application of Interpretive Structural Modeling: an administrative staff perspective in the Indian context, The TQM Journal, 22(1)). Sahney et al. applied Interpretive Structural Modeling (ISM) to prioritize, sequence and categorize elements critical to quality management in education; however, it seems that the final reachability matrix, and consequently the results, may not be true as some transitivity was not incorporated. So, the purpose of this paper is to apply a method to develop a transitive and compatible reachability matrix.

A counter-example was used to show that the final reachability matrix was incorrect, and then, based on Warfield’s studies, a transitive and compatible reachability matrix was developed directly.

As high priority should be placed on tackling the design characteristics which have a high driving power and thus possessing the capability to influence other elements, the correct analysis of ISM and its consequences is important to the priorities. The results from this study differed from the results of the Sahney et al. to a large extent. According to their analysis, all attributes were in the linkage area which has high driving power and high dependence. However, the authors reached different values for the relative importance and the interdependencies among the elements resulting in three different clusters.

This note clarifies and corrects the way the ISM methodology can be applied.

Given the need to simultaneously implement lean and agile (LeAgile) paradigms in supply chain, managers do not know which of these paradigms practices should be given priority. Not knowing this, not only will they fail to apply these paradigms properly, but they will also waste significant financial resources. The purpose of this paper is to investigate the relationship between the practices of LeAgile paradigms and their effects on the supply chain performance.

Because the military products play a key role in national security enhancement, this research is done in the military product supply chain. Research methodology is an exploratory, mixed and descriptive one. In terms of its purpose, it is an applied research based on identifying and searching for practices and the use of interpretive equations. First, the authors identify the most important and implementable LeAgile practices in the form of importance feasibility analysis matrices. Then, using fuzzy interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between paradigms, practices and their impact on supply chain performance. The research tool in both main stages of the research was the questionnaire completed by industrial and academic experts. The selection of experts was done purposefully.

The results show that of total 100 practices introduced in the previous research for LeAgile supply chain, 21 practices in the lean and agility of the supply chain of military industries are important and implementable. The final model of this study illustrates the hierarchical relationships between 21 practices and its effect on supply chain performance key measures. This model shows that LeAgile paradigms are intertwined and their simultaneous implementation leads to improved supply chain performance. In this model, supplier-related practices play a driving and fundamental role and become a top priority for implementation.

Military products variation in land, air and sea areas and the large number of industries in each sectors, forced us to select the only land area. Although the results of this research can be used in the air and sea areas, one cannot say that Implementation of this study by its presented model will fully lead to the military industries supply chain (SC) lean and agility in air and sea sectors.

To the best of the authors’ knowledge, this is the first research on the SC legality in Iran’s military industry which tries to apply these two paradigms simultaneously in the SC and bridge the gap between theory and practice. Clustering LeAgile practices, based on two measures of importance and feasibility, and defining four strategies for implementing these measures, is a new approach to focus on deploying practices that are currently more feasible. Identifying a significant number of SC LeAgile practices (100 practices) and demonstrating the interactions between important and feasible practices in the military products SC are another innovation in this research.

Firms have been adopting lean manufacturing to improve their business performances. However, they are facing failures or less success in implementation, mainly due to lack of understanding in relating the lean practices (LPs) from the required performance measures perspective. In view of the lack of research and the importance of understanding them, the purpose of this paper is to prioritize LPs.

As LPs are scattered in the literature and a variety of performance measures are used, an extensive literature review is first carried out to identify the LPs and performance measures. The blend of interpretive structural modeling and interpretive ranking process interpretive tools is adopted in establishing the contextual relationship among LPs and then ranking them based on the performance measures. A three-dimensional priority matrix is proposed for better explanation of the results.

The proposed framework can help firms better understand LPs and their levels of importance in lean implementation.

The involvement of lean experts may produce some bias in evaluating the LPs.

The proposed framework can help practitioners to develop an industry-specific road-map for the result-oriented LP implementation. Based on the area of performance to be improved, practitioners can prioritize LPs for implementation.

This is the first study that provides a comprehensive review of LPs available in the literature and prioritizes them in accordance with performance with interpretive tools.

Lean six sigma (LSS) has attained a prominent position in mature organizations but small- and medium-sized enterprises (SMEs) are struggling in the proper implementation of LSS in their core business. This study aims to make a comprehensive analysis of LSS implementation barriers in SMEs so that LSS execution can be much fluent in SMEs.

This research work is carried out based on investigation of LSS barriers through extensive literature review. For validating the identified barriers, a questionnaire survey was conducted, and out of 400 samples, 260 responses received back. The collected responses are analyzed statistically and found 16 significant barriers. The finalized barriers are modeled using interpretive structural modeling (ISM) and clustered them through matrice d’impacts croisés-multiplication appliquée a un classement (MICMAC) analysis. Furthermore, to check the consistency of results, ISM-MICMAC outcomes are validated through structural equation modeling (SEM).

The result reveals that 16 LSS implementation barriers are finalized through expert’s opinion and validated through statistical reliability test with Cronbach’s alpha value of 0.820. The ISM model reveals that the management relevant barriers are exhibiting the leading role to influence the implementation of LSS in SMEs. Moreover, the obtained results validated through SEM are found in good agreement.

During pairwise comparisons, there may be some prejudice and subjectivity as human judgments are engaged.

This study provides impetus to practitioners and consultant for the initiation of LSS in the business organization through tackling the LSS barriers as per their driving and dependence power.

In the past, limited studies had explored the LSS barriers, but a few studies analyzed the mutual relationship between barriers. No such study is reported in literature that validates the mutual interaction model of LSS barriers. Hence, this paper presents the original research work of identification and modeling of barriers associated with LSS implementation in SMEs through hybrid ISM-SEM approach.

The purpose of this research paper is to identify the enablers for Lean implementation in the manufacturing sector, to establish a relationship among them using interpretive structural modeling (ISM) and to rank them using interpretive ranking process (IRP).

The research paper presents a blend of theoretical framework and practical applications. In the paper, eight enablers of Lean production are identified from literature survey and experts’ opinion. These include 5S, value stream mapping (VSM), just in time, single minute exchange of die, computer-integrated manufacturing, concurrent engineering, training and enterprise resource planning. ISM is used to obtain a structural relationship among these enablers of Lean. MICMAC analysis is used to identify the driving power and dependence of the variables. Further, IRP is used to rank the lean enablers with respect to key performance areas.

The ISM- and IRP-based models indicate that “training” is the most significant factor for the Lean implementation process in manufacturing sector. The MICMAC analysis also shows that “training” has the maximum driving power and the least dependence and hence has strong managerial significance. The management should place high priority on tackling this criterion. VSM occupies the top level in the ISM hierarchy, indicating that all other Lean enablers should act in unison to make VSM implementation a success.

Enablers are the building blocks for deployment of the Lean concept. To know the key enablers and relationship among them can help many organizations to develop Lean competencies. This study is perhaps among the first few that focuses on two modeling procedures based on interpretive logic, i.e. ISM and IRP. The paper provides useful insights to the Lean production implementers, consultants and researchers.

The purpose of this paper is to identify and build a hierarchy of the factors influencing competitiveness of electronics manufacturing industry (EMI) at the industry level and apply the interpretive structural modeling, fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á UN Classement (i.e. the cross-impact matrix multiplication applied to classification; MICMAC) and analytic hierarchy process (AHP) approaches. These factors have been explained with respect to managerial and government policymakers’ standpoint in Indian context.

This study presents a hierarchy and weight-based model that demonstrates mutual relationships among the significant factors of competitiveness of the Indian EMI.

This study covers a wide variety of factors that form the bedrock of the competitiveness of the EMI. Interpretive structural modeling and fuzzy MICMAC are used to cluster the influential factors of competitiveness considering the driving and dependence power. AHP is used to rank the factors on the basis of weights. Results show that the “government role” and “foreign exchange market” have a significantly high driving power. On the other hand, the “capital resource availability” and “productivity measures” come at the top of the interpretive structural modeling hierarchy, implying high dependence power.

The study has strong practical implications for both the manufacturers and the policymakers. The manufacturers need to focus on the factors of competitiveness to improve performance, and at the same time, the government should come forward to build a suitable environment for business in light of the huge demand and frame suitable policies.

The lackluster performance of the industry is because of the existing electronics policies and environmental conditions. The proposed interpretive structural modeling and fuzzy MICMAC and AHP frameworks suggest a better understanding of the key factors and their mutual relationship to analyze competitiveness of the electronics manufacturing industry in view of the Indian Government’s “Make in India” initiatives.

This paper contributes to the industry level competitiveness and dynamics of multi-factors approach and utilize the ISM–fuzzy MICMAC and AHP management decision tool in the identification and ranking of factors that influence the competitiveness of the EMI in the country.

This study aims to recognize the significant barriers of small and medium-sized enterprises (SMEs) in Bangladesh, hindering the adoption of total quality management (TQM). Additionally, this research intends to explore the interrelations among these barriers to develop essential managerial insights for promoting TQM implementation in SMEs.

The interpretive structural modeling (ISM) approach and Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) a cross-impact matrix multiplication applied to classification show the relationship among the barriers and classification of the barriers to TQM implementation respectively, and partial least squares structural equation modeling (PLS-SEM) is applied for ISM model validation.

This study examined previous literature and conducted interviews with professionals to identify 17 barriers. The study then develops and investigates a model that outlines the relationships and priorities among these barriers and categorizes them based on their impact and interdependence. This analysis can assist SMEs in implementing TQM during their operations successfully.

This research emphasizes the crucial obstacles that greatly affect other barriers and require immediate attention. Furthermore, this study provides valuable information for SMEs to effectively prioritize their resources and efforts to overcome these obstacles.

This study delves into the primary obstacles impeding the integration of TQM in SMEs through a novel approach. Additionally, this study constructs a verified contextual framework that depicts the hierarchies and interconnections among these barriers.