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Recent years have witnessed a significant rise in Indian healthcare establishments (HCEs) which indicate that there is a constant need to improve the healthcare quality services through the adoption and implementation of TQM enablers. The purpose of this paper is to identify such enablers and then propose a ranking model for TQM implementation in Indian HCEs for improved performance.

The study identifies 20 TQM enablers through comprehensive literature survey and expert’s opinion, and classifies them into five main categories. The prominence of these enablers is established using a recently developed novel multi-criteria decision making (MCDM) method, i.e. best-worst method (BWM). The importance of the various main category and sub-category enablers is decided on the basis of their weights which are determined by the BWM. In comparison to other MCDM methods, such as analytical hierarchy process, BWM requires relatively lesser comparison data and also provides consistent comparisons which results in both optimal and reliable weights of the enablers considered in this paper. Further, a sensitivity analysis is also carried out to ensure that the ranking (based on the optimal weights) of the various enablers is reliable and robust.

The results of this study reveal that out of five main category enablers, the “leadership-based enablers (E1)” and the “continuous improvement based enablers (E5)” are the most and the least important enablers, respectively. Similarly, among the 20 sub-category enablers, “quality leadership and role of physicians (E14)” and “performing regular survey of customer satisfaction and quality audit (E52)” are the most and the least dominating sub-category enablers, respectively.

This study does not explore the interrelationship between the various TQM enablers and also does not evaluate performance of the various HCEs based on the weights of the enablers.

The priority of the TQM enablers determined in this paper enables decision makers to understand their influence on successful implementation of the TQM principles and policies in HCEs leading to an overall improvement in the system’s performance.

This study identifies the various TQM enablers in HCEs and categorizes them into five main categories and ranks them using the BWM. The findings of this research are quite useful for management of the HCEs to properly understand the relative importance of these enablers so that managers can formulate an effective and efficient strategy for their easy and smooth implementation which is necessary for continuous improvement.

The extent to which an organisation is successful can be influenced by a number of its strategies and business initiatives. This success can be measured internally, using traditional measures such as profitability, return on net assets and cash flow. Equally, this success can also be measured in terms of external measures such as growth, the competition and the impact of a changing business environment. This paper attempts to assess the association between the extent to which TQM initiatives have been successfully implemented and the changes in performance measures both internal and external. This has been done by analysing benchmarking data collected from nearly 450 service organisations from the North East of England. The survey results suggest that the TQM enablers have the greatest impact upon operational performance and then business performance, but only limited impact on external measures of sustainability such as business growth, competitive advantage and change management.

The purpose of this study is to identify and rank total quality management (TQM) enablers and information technology (IT) resources to provide a reliable and valid measurement instrument for evaluation in Indian information and communications technology (ICT) organizations.

Based on a literature review of TQM enablers and IT resources, 17 factors are identified, of which, 9 are TQM enablers and 8 are IT resources. The empirical data, retrieved from 801 ICT organizations, is tested by descriptive analysis and factor analysis (FA). FA is used to ensure that items in each scale sufficiently reflect the scope of each factor.

This paper has developed an instrument that can be used to evaluate items to implement TQM enablers and IT resources. The instrument identifies 17 reliable and valid factors, out of which 16 are input factors, while 1 is an outcome factor.

This instrument will provide a practical understanding to enable the monitoring of TQM enabler and IT resource activities in ICT organizations. Along with this, these instruments will help to build models related to constructs that will further achievement of customer satisfaction (CS).

This paper presents an instrument which validates the different items of TQM enablers and IT resources. It also shows the relationship between the two in terms of CS.

The purpose of this paper is to identify and analyze the interactions among different enablers of total quality management (TQM) and its outcome variables in service sector specific to Indian domestic airline industry. No study has been done regarding the implementation of TQM in Indian domestic aviation sector. To fill this gap interpretive structural modeling (ISM) and total interpretive structural modeling (TISM) based quality framework model has been developed to understand the mutual interactions among the variables and to identify the driving and dependence power of these variables.

An ISM and TISM based approach have been used to study and analyze the interactions between identified variables.

In this research work, a total of 14 variables have been identified based on extensive literature review, brainstorming and experts opining from the Indian airline industry and academia. The result showed that top management commitment, training, continuous improvement, benchmarking, employee involvement and commitment have strong driving power and weak dependence power and are at the lowest level in hierarchy in the ISM and TISM model, while the outcome variables of TQM have low driving power but have high dependence power.

Top management must stress on variables having strong driving power for efficient implementation of TQM. By implementation of TISM model in the Indian airline industry, organizations would become more productive, competitive and would eventually become more profitable.

In this research work, ISM and TISM based quality framework structural model have been proposed for Indian domestic aviation industry which is a new effort in the area of TQM implementation in this sector.

Though there has been steady growth in the automobile sector in India, India is still a player of little consequence in global auto production. Despite total quality management (TQM) playing an increasingly important role in the survival and growth of companies in the automobile sector, the dynamic interactions among its subsystems have not received due attention in the literature. Based on the Malcolm Baldrige National Quality Award model, this paper develops causal relationships among the different variables that represent “enablers” and “results” – operating within 44 identified feedback loops. Of these loops, 33 are positive and 11 are negative. The resulting causal loop diagram provides an insight into understanding the dynamic interactions among TQM subsystems which helps identify proactive action in implementing the TQM philosophy.

The purpose of this paper is to investigate the dimensions of TQM, analyse interrelationships and their combined influence on results achieved in ISO certified engineering institutes in India.

This study is based on the questionnaire survey of a sample of 216 faculty members serving in various ISO certified institutes of southern states of India. The data were obtained using a questionnaire that is in line with the self‐assessment philosophy of European Foundation for Quality Management Excellence Model (EFQM). The dataset was subjected to exploratory factor analysis using SPSS17.0 program for Windows. The confirmatory and causal analyses were carried out using AMOS 16.0 software.

The factor analysis confirmed the existence of ten important dimensions of TQM that guide ISO institutes in their quality journey. Structural equation modelling was used to validate the developed TQM model. Leadership of top management was the main driving force for establishing an effective quality management system (QMS) in engineering institutes.

The main limitation is related to the notion of causality. The study has considered perception data for the predictive analysis.

The paper unfolds ten important TQM factors that need attention from education administrators to manage quality in engineering education. The six enablers of the proposed TQM model significantly influence result criteria. The results obtained in this study encourage academic leaders to implement TQM concepts in their institutes to achieve a higher level of stakeholder satisfaction.

The paper is a new contribution to broad understanding of TQM concepts and their impact on performance measures in engineering education in India.

Prior studies by Salaheldin (2009) and Talib et al. (2011) have assessed the relationships between TQM critical success factors (CSF) and business results. The purpose of this paper is to build upon this research by considering the relationships between these CSFs and their sequencing during the implementation of TQM. Furthermore, the influence exerted by the maturity of TQM implementation on the link between instrumental drivers and performance is explored.

The TQM drivers are clustered by means of three constructs: strategic enablers, tactical drivers and instrumental drivers and a model employed in which the strategic and tactical factors are treated as antecedents of the instrumental drivers. The direct effect of each cluster on business results and the indirect relationship of strategic and tactical factors via the mediating role of the instrumental drivers are assessed. These assessments use the partial least squares (PLS) approach which is a variance-based structural equation modeling technique using a sample of 113 Spanish organizations with experience of implementing a TQM program.

The findings confirm the existing relationships among the CSFs and business performance identified by studies Salaheldin (2009) and Talib et al. (2011). However, the results reveal that instrumental drivers possess the highest variance explanation power over business performance outcomes and it is possible to identify a CSF implementation sequence that generates the greatest impact on business performance. Furthermore, the study was inconclusive with regard to the influence exerted by the number of years of TQM implementation on the link between the instrumental drivers and performance.

The first is related to organizational bias. It seems likely that those firms which are not satisfied with their TQM system performance would be less likely to be motivated to contribute to the development of this study. Therefore, the authors have included in the sample a higher proportion of “good” systems than is the case in the population at large. Second, although the authors provide evidence of causality, causality itself has not been proven. Third, this research relies mainly on perceptions and the authors only used a single method to elicit these perceptions. Finally, this research was carried out in a specific geographical setting (Spanish companies) and the authors must be cautious about generalizing these results in other contexts.

This study offers a substantial number of practical implications. First firms’ managers should emphasize that continuous improvement, benchmarking and zero-defects mentality is a never-ending process. Especially, they should understand that reliable product/service design is critical to exceed the customers’ expectations, leading to improved business success. The results of this study should also lead managers to seeing a “return on investment” in their efforts to implement a TQM program by first, paying more attention on how to implement the instrumental factors, and second, avoiding the belief that the passage of time and experience-based learning will bring business performance enhancement and success on their own.

Although, the literature agrees that strategic factors are valuable assets and have a crucial role in the deployment of TQM systems, the study empirically validates this assertion. However, at the same time it shows that this impact on performance is stronger and much more significant by reconfiguring instrumental factors. This implies that strategic and tactical factors do have an effect on business success, but they do so indirectly, by reconfiguring and reinforcing instrumental factors that better fit the stakeholders’ needs and expectations.

The results suggest the need to consider whether all the CSFs are equally relevant on the basis of their contribution to business success. For example, strategic enablers are generally considered to be of primary importance with tactical and instrumental drivers assuming a secondary position. The study challenges this view and highlights the role of instrumental drivers over strategic and tactical factors with the clear implication that managers should focus strongly on daily implementation tasks such as benchmarking, zero-defects mentality and continuous improvement processes in order to achieve good business performance outcomes.

The purpose of this paper is to identify ISO 9001's contribution to the five enablers of the European Foundation for Quality Management (EFQM) excellence model.

Empirical research was conducted in Cypriot ISO 9001 certified organizations to evaluate the motives that lead them to certification, the difficulties they faced during the standards' implementation and their performance improvement in the five enablers of the EFQM excellence model. Companies were asked to evaluate their performance in 85 issues related to these Enablers both before and after certification.

The results of the survey indicate the “most” and the “least” important improvements from ISO 9001 certification in the five enablers of the EFQM excellence model. The results also prove that performance improvement is statistically significant in all enablers and it is also significantly related to the companies' motives for certification.

Future research should focus on the least important improvement areas of certification and the appropriate methods and techniques to boost performance in these areas towards excellence, either during the implementation of the standard or after certification.

Shows the average improvement from ISO 9001 certification in key excellence areas. It also highlights the areas on which companies should focus after certification in order to improve their performance towards excellence.

Examines the performance improvement of certified organizations in relation to the five enablers of the EFQM excellence model.

Total quality management (TQM) has been a widely applied process for improving competitiveness around the world. The implementation of TQM usually consists of both TQM philosophy from Deming’s “14 points”, Juran’s “ten steps”, and Crosby’s “14 steps” and techniques such as SPC, QCC, benchmark, QFD, etc. The integration of philosophy and methods are usually used in implementing practices of TQM. Some researches indicated only TQM philosophy enhances quality performances; the others indicated both philosophy and methods help. This research conducts a questionnaire survey in Taiwan to test the following propositions: TQM philosophy enhances quality performance; TQM methods enhance quality performance; and the integration of TQM philosophy and TQM tools enhances quality performance. The results showed TQM philosophy, and TQM tools have a positive relationship with business performance. The integration of TQM philosophy and tools positively influenced both cost reduction and business performance.

This paper aims to review total quality management (TQM) literature in the past three decades to identify the quality related key terms, to analyse their linkage among the identified key terms and their developmental trends.

Bibliometric and statistical methods are used to analyse article titles published in the Total Quality Management and Business Excellence journal during 1990–2019. The current research is based on a search from the ProQuest academic database and the journal’s website, resulting in 2,452 articles collected. The VOSviewer and Microsoft Excel were then used for the analyses.

A total of 52 key terms were extracted from the journal’s 2,452 article titles, the top three key terms in terms of occurrences were “quality,” “total quality management” and “service quality.” Five themes were then proposed from clustering the 52 key terms: “frameworks/models,” “essentials/enablers,” “methods/techniques,” “culture/characteristics” and “effects/results.” Trend analyses were also conducted regarding the five themes in an attempt to highlight the patterns of research publications from 1990 to 2019. It is found that the research publications for “essentials/enablers,” “methods and techniques” and “effects/results” have steadily increased during the analysis period, while “frameworks/models” and “culture/characteristic” have slightly decreased. These insights provide implication for the historical evolution of quality from “quality control,” “total quality management” and “service quality,” combining with the development of “service sciences.”

This paper highlights the concept of quality since its meaning has changed and evolved over time from quality control, TQM to service quality. And it is emerging in the present and future development of service sciences because of both of TQM and service sciences having the same nature of multidisciplinary background and characteristics. Also the authors can conclude that quality and service sciences are in fact two sides of the same coin because both of them having the same duality of “tangible-intangible” and “physical-virtual” faces which are the important topics that TQM should focus on.