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The purpose of this paper is to evaluate the service quality automobile garages through development of a service quality index based on the factors influencing service quality.

A structural methodology of graph theory and matrix approach is applied for developing the service quality index.

The automobile maintenance can be considered as a service industry and in order to sustain in the competitive business environment, the service providers must ensure quality in their services. There are several factors that influence the service quality. Each factor is comprised of several sub-factors. Moreover, the factors are interrelated with each other. Modelling of these factors and their interrelations with due consideration of their structure is accomplished through the graph theory. The directed graph (digraph) of the service quality is defined; the nodes of this symbolize the quality influencing factors, while the edges represent their degrees of interrelationships. An equivalent matrix developed from the digraph establishes a service quality function which leads to evaluation of service quality index (SQI). A greater value of the service quality index displays that the organization and functioning of the garage is adequate.

The methodology can be applied for evaluating as well as comparing service quality of different garages. The observations would be helpful to the managers the garages to make strategies for improving their service quality.

The paper establishes the interrelations among various factors that influence the service quality at automobile garages and develop a numeric index for the evaluation of the same.

The purpose of this paper is to develop a framework for the safety performance measurement of belt conveyor systems.

A structural methodology of graph theory and matrix approach is used for developing a framework for safety performance measurement of belt conveyor systems.

The development of a framework for safety performance measurement of belt conveyor systems is essential for ensuring plant safety. For this, safety performance factors, including design and operating contextual factors of belt conveyor systems, are identified. The factors along with their interrelations are modeled using digraph. An equivalent matrix of the digraph provided safety performance function (SPF) of belt conveyor systems, leading to the development of a safety performance index (SPI).

The developed framework will enable the designers for evaluating and comparing alternative designs of conveyor systems from the safety viewpoint. The plant operators can make inferences from the SPI to identify the weak contextual factors in the plant and develop action plans for its mitigation.

The paper is novel and employs graph theory and matrix approach for safety performance measurement. The methodology helps in the quantitative evaluation of the safety performance of belt conveyor systems.

The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.

This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.

This research focuses mainly on readiness factors for agility in healthcare sector.

Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.

In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

The purpose of this paper is to identify, analyze and develop a model to measure the interactions among different factors of organizational readiness for change in service sector specific to healthcare organization. The total interpretive structural modeling (TISM)-based readiness for change is to build a theoretical framework to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.

TISM is used to identify factors that contribute to analyze the readiness state before starting a change implementation process in healthcare. Matrice d’Impacts croises-multiplication applique´ a classement analysis is used to find the driving and dependent factors of change in healthcare.

This paper identified 12 factors of readiness for change from literature review followed by expert interview to understand the inner connection of factors and study inner relationships. The result says that state of affairs, recent trends in healthcare sector, technology advancement and interdependence among departments are key factors for readiness of change.

This research mainly focused on readiness factors for change in the healthcare sector.

This study will be useful for researcher and practitioners to understand the readiness factors for change.

In this research work, TISM-based readiness for the change framework structural model has been proposed for healthcare organizations which is a new effort in the area of organizational change management in this sector.

This study aims to develop a framework for the action hierarchy of sustainability practices and financial performance and their optimal combination for supplier evaluation and selection in business-to-business (B2B) for the Indian manufacturing industry.

Through the extensive literature review followed by comprehensive interviews conducted using the Delphi methodology with professionals, this study attempts to represent the interactions of the sustainability practices and financial performance factors on B2B buying behaviour using a graph-theoretic approach.

The contribution of environmental, social, economic and financial performance to B2B buying behaviour is obtained quantitatively in the context of the Indian manufacturing industry.

This study considers inputs from the Indian manufacturing industry, which may vary significantly based on the type of industry and geographical locations.

This study provides a direction to prioritize their supplier evaluation and selection criteria for sustainability practices and financial performance with quantifiable rationale.

The study seeks to encourage manufacturing industries to plan their actions by quantifying the intangibles through a systematic approach.

Educational institutes must embrace the principles of total quality management (TQM) if they seek to remain competitive, and survive and succeed in the long run. An educational institution must embrace the principles of quality management and incorporate them into all of their activities. Starting with a theoretical background, the paper outlines the results of a study conducted on both internal and external customers of the educational system, with select engineering and management institutes as foci of study. The study is an attempt toward developing an integrated customer-centric model of quality management in education, through the use of multiple methodologies so as to be able to evaluate service quality; prioritize improvement of service; and guide and develop educational services by incorporating the voice of the customer (VOC). The purpose of this paper is to establish the prioritization for improvement of service design of an educational system through incorporation of the VOC, be it internal or external customers, through the use of multiple methodologies, leading to generalization of results.

The study uses multiple methodologies with various techniques for analysis through the application of the SERVQUAL; quality function deployment (QFD); interpretive structural modeling (ISM); and path analysis. The SERVQUAL was applied to identify the gap and determine the level of service quality. Following this, QFD, ISM and path analysis were used to identify the set of minimum design characteristics/quality components that would meet the requirements the various internal and external customers of the educational system. The QFD was used to identify the set of minimum design characteristics/quality components that meet the requirements of the various internal and external customers of the educational system. The ISM and path analysis were used to identify and prioritize the design characteristics/quality components that would meet the requirements the various internal and external customers of the educational system.

The findings from the various techniques were amalgamated, and proposed as an integrated model of TQM in higher education. The study helped identify with a customer perspective, the quality components which would help design TQM for higher education institutions in India.

The paper could be useful to government bodies, funding agencies, policy makers and administrators in developing a system that could lead to satisfaction of both internal and external customers of the educational system.

The study includes within its scope the varied customers of the educational system, namely, internal and external customers of the educational system; the internal customers being the faculty and the administrative staff, and the external customers being the students and the industry (as the employer). This is yet to be seen in other research studies. Also, the integration of the multiple tools and their application to the field of higher education in India, has not yet been made available in the literature.

The purpose of this paper is to identify, analyse and categorize the major factors affecting lean procurement (LP) in a construction project of a company in India using total interpretive structural modelling (TISM) approach. The readiness factors identified help the managers to recognize the areas that lack, i.e. purchase, stocks and receipts, and provide importance to the successful implementation of LP in those areas. This study further intends to examine the hierarchical interrelationships among the factors identified using dependence and driving power.

Ten factors were identified from literature review, and expert opinions were collected from the organization which is in construction phase in India. Scheduled interviews were conducted based on questionnaire survey in the organizations to identify the relevance of the relations among the factors. Matrix impact cross-multiplication applied to classification analysis uses dependence and driving power to understand the hierarchical relationship among the factors identified.

Results indicate that supplier selection is the key readiness factor for LP. The manager needs to concentrate more on readiness factors to formulate execution process of LP for the betterment of the construction project undergoing organization in India. The readiness factors help the manager to identify the target area for LP execution.

This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LP in construction projects. The managers of companies undergoing construction project can use the outcome of the present study to implement LP in a competent way. Basing the priorities of attention on the ten readiness LP factors in the appropriate order of importance, as suggested by this study, can give project managers a more scientific basis in which to specify the level of attention required for each of the factors to implement readiness in LP.

The present study identifies the readiness factors related to LP, especially for construction project. None of the researchers have studied readiness factors of LP for organizations undergoing construction projects. This is the first attempt made to analyze the relationship between LP readiness factors and TISM approach in construction project organization.

This paper aims to identify, analyze and categorize the major readiness factors for implementing Lean Six Sigma (LSS) in health-care organizations using total interpretive structural modelling technique. The readiness factors are identified would help the managers to recognize the areas that lack and provide importance to the successful implementation of LSS in those areas. The paper further intends to understand the hierarchical interrelationships among the readiness factors identified using dependence and driving power.

In total, 16 readiness factors are identified from the literature review and expert opinions are collected from hospitals. The scheduled interview is conducted based on a questionnaire survey in hospitals in the Indian context to identify the relevance of the relations among the readiness factors. The expert opinions are used in the initial reachability matrix and interpretative interaction matrix. Matrix impact cross multiplication applied to classification (MICMAC) analysis uses dependence and driving power to understand the hierarchical relationship among the readiness factors identified.

The result indicates that customer-oriented and goal management cultures are the key readiness factors for LSS. The execution technique and training are given according to the current demand of customers and goal change of organization. The manager needs to concentrate more on readiness factors to formulate the execution process of LSS for continuous improvement of the health-care organization. The readiness level helps the manager to identify the target area for LSS execution.

This research focuses mainly on readiness factors for the implementation of LSS in the health-care industry.

This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LSS.

Many research studies are being done on the success and failure rate of implementation of factors. The present study identifies the readiness factors related to LSS, especially for the health-care industry.

The purpose of this paper is to identify and develop a hierarchy of corporate social responsibility (CSR) dimensions and their interrelationships using interpretive structural modelling (ISM) methodology.

This research used ISM for framework development. ISM is, however, a sound method for developing insight into the collective understanding of the relationships between dimensions of corporate social responsibility (CSR) identified from the literature review. The steps involved in the ISM technique are structural self-interaction matrix, reachability matrix, level partitions, developing the canonical matrix, classification of dimensions for CSR and formation of ISM.

The findings indicate that company size is the only key driver for the other dimensions of CSR and is hence placed at the very bottom of the ISM model. Above this, at Level II, the key dimensions are corporate governance, diversity and corporate profile. These act as mediating dimensions between company size and the topmost level (i.e. Level III), which comprises 15 dimensions including CSR.

Some limitations of this research indicate the need for further research. First, the proposed ISM model has only been conceptualised and has not been empirically tested using primary data. Future research is needed to validate the model in whole or part, to understand the perceived CSR of a company. Second, the methodology was limited to the use of ISM to model the CSR dimensions; it was not extended to fuzzy MICMAC analysis or to interpretive ranking.

The proposed ISM-based model for the identification and ranking of CSR dimensions and their interrelationships offers decision makers and practitioners a more convincing representation of the problems affecting the exploration of CSR dimensions. The utility of the proposed ISM method lies in imposing order and direction on the complexity of relationships among these dimensions, which will help top management and decision makers to better use their available resources in optimising their CSR practices. The framework allows policymakers to effectively incorporate these dimensions into their practising of CSR.

This is the first research on CSR to conceptualise a framework of causal interactions among its key dimensions using ISM methodology.

The Indian higher educational system is one of the largest in the world. Besides, the growth of students and universities, the range of disciplines and universities in professional and vocational education has greatly increased. With the sudden immense growth of the educational institutes all over the country, educational institutions must improve the quality of their services to compete and achieve a leading position. Orientation towards quality and competitiveness in higher education in India has thus started gaining the attention of the policy makers, educational planners, and administrators as also the various stakeholders of the educational system. With the internal and external stakeholders becoming more demanding in a gradually liberalizing Indian economy, the issues related to quality need to be addressed from varying perspectives on the very conceptualization, implementation, and assessment. Starting with a theoretical background, the purpose of this paper is to present the results of an empirical study conducted on the administrative staff, so as to obtain the internal customer's perspective on quality.

Based on the literature review followed by a pilot study and an earlier study based on the quality function deployment technique, certain elements critical to quality management in education are identified. Thereafter, the interpretive structural modeling (ISM) technique is applied.

The ISM technique helps prioritize the strategic issues in quality assessment qualitatively, so as to propose a hierarchical structure through prioritizing, sequencing, and categorizing of ideas. The elements are classified as drivers, enablers and dependents, and the hierarchically structured.

The adoption of such a framework in educational institutions would lead to the creation of an environment where the administrative staff would be satisfied and in turn, be able to deliver quality service to the other customers and stakeholders.

An implementation of the integrated framework of such critical components can help policy makers, educational planners, and administrators as also the various stakeholders of the educational system contribute towards growth, success and survival in the rapidly changing environment.