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Rawabdeh I, Arafah M, Mustafa MM. Analysis of the interrelationships between enablers and results in King Abdullah II award for excellence model. BENCHMARKING-AN INTERNATIONAL JOURNAL 2021. [DOI: 10.1108/bij-09-2020-0475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThis study aims to validate the KAIIAE model in the public sector and analyse the interrelationships between Enablers and Results in the King Abdullah II Award for Excellence (KAIIAE) model to better understand the dynamic logic behind improving excellence results.Design/methodology/approachThe methodology used is structural equation modelling (partial least squares technique), and the data were obtained from the assessment processes for the KAIIAE for 98 Jordanian public organisations.FindingsThe findings showed that the award model has proven to be a reliable and valid framework, as the criteria and sub-criteria were highly correlated. The set of Enablers was strongly related to the set of Results, and the synergies between the critical criteria confirmed the importance of leadership, strategy, and processes for the organisation's excellence results. It was found that the new significant and direct relationships between “People” and “People Results” and between “Partnerships and Resources” and both “Society Results” and “Key Results” improved the understanding and implementation of the model. There was a significant interrelationship between model criteria, excluding the relationship between “Society Results” and “Key Results”, since the government's main objective is to serve society. A new structural model for the KAIIAE with the new relationships was suggested.Research limitations/implicationsThis paper concentrated only on the public sector, although the excellence model has been implemented in the private sector. Features of the different types of organisations were not tested. Furthermore, the variations in size, covered fields, number of employees and provided services need to be investigated further.Practical implicationsGovernment award bodies can use these research findings to develop a new model version for public sector awards by combining a cohesive array of elements for any government organisational need or application. The study suggested adding new criteria or relationships or eliminating those that are not significant and have no impact on public sector organisations. The findings will assure the organisations' managers that the KAII excellence model criteria are highly correlated and synergised for public sector organisations. These criteria perform efficiently once they are considered and implemented in an interconnected manner rather than managing them independently, which makes up their management framework. This knowledge about the validity of the structure of the model allows public sector organisations to benefit fully from the self-assessment processes and improve the organisation's management, enhancing their faith in excellence award models.Social implicationsThis study has contributed to the existing literature on the reliability and validity of business excellence models as a framework for implementing, evaluating, and improving excellence, particularly in the government sector. Several important insights have emerged from this study. The relevant analysis supports a new model structure for excellence in the public sector. Among the model structure relationships, the study identified the existence of new direct relationships between enablers and results. New significant and direct relationships are added to the model that advances the implementation and understanding of the model. Moreover, it informs theory about Excellence Award implementation in developing countries within the context of Jordan – a topic that has previously received limited attention in the international business excellence literature. Since there is limited research on the suitability of implementing the KAIIEA excellence model (that is based on nine criteria of the EFQM model) in public organisations, this work suggested introducing a new modification to the model to suit the characteristics of the public sector.Originality/valueThe considerable prominence of the government sector has drawn attention to the excellence parameters within its organisations. Hence, a lack of studies and inadequate knowledge in the governmental management system have limited testing excellence in the public sector. This paper provides support that the excellence model (KAIIAE model that is EFQM based) is an appropriate framework by identifying direct and significant model interrelationships for the public sector based on the actual and sufficient performance of its entities so as to drive the changes of the next model generation. This is the first study that attempts to comprehend and describe the validation of the KAIIAE model in the public sector.
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Ouyang M, Li J, Li B, Tang K, Huang F. Quality cooperation and retail service supply chain model selection: based on the perspective of service quality concerns. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2020. [DOI: 10.1108/jeim-07-2020-0288] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeIn the new retail era, the supply chain synergy produced by quality integration has become the new direction of service supply chain research. The purpose of this paper is to study how to promote the sustainable development of the retail service supply chain (RSSC) by comparing and analyzing the optimal quality behavior, optimal returns, and the combination of conditions and strategies of the participating members of the RSSC.Design/methodology/approachFrom the perspective of quality function development and service quality concern, this paper considers RSSC as a two-level supply chain structure composed of functional service provider and retail service integrator. In this paper, a dynamic optimization model of quality input-cooperation-coordination of RSSC is proposed under two quality cooperation modes of decentralization and integration. This paper adopts the differential game method to compare and analyze the optimal quality behavior, optimal income, forming conditions and strategic combination of the participating members of the RSSC in different situations.Findings(1) Compared with quality dispersion, quality integration has more significant Pareto improvement effect on quality behavior and optimal revenue of RSSC. (2) In the case of quality integration, the optimal revenue obtained by the service sharing model is generally better than that obtained by the retail alliance collaboration model. (3) Benefit distribution ratio and quality cost allocation determine the optimal quality behavior of participating members of the RSSC, and also become the key factors for participating members to choose the collaborative mode in the case of quality integration.Originality/valueBased on the quality function development of RSSC, this paper introduces the concept of steady service quality, and discusses the relationship between the quality cooperation stability and the mode selection of RSSC. This provides a theoretical basis for how to build a RSSC with efficient operation and stable quality.
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Do MH, Huang YF, Do TN. The effect of total quality management-enabling factors on corporate social responsibility and business performance: evidence from Vietnamese coffee firms. BENCHMARKING-AN INTERNATIONAL JOURNAL 2020. [DOI: 10.1108/bij-09-2020-0469] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PurposeThis article aims to evaluate total quality management (TQM)-enabling factors' impact on corporate social responsibility (CSR) activities and business performance through evidence from Vietnamese coffee firms.Design/methodology/approachBased on collecting data via in-depth face-to-face interviews with employees, who are working in the Vietnamese coffee companies. The partial least squares structural equation modeling (PLS-SEM) approach has been employed to investigate the relationship among the TQM-enabling factors, corporate social performance (CSP) and business performance.FindingsA total of 13 TQM-enabling factors have been identified and divided into two categories, namely human and functional. The statistical results revealed a positive signal to remarkably enhance CSP and business performance by adopting those TQM-enabling factors into Vietnamese coffee firms.Research limitations/implicationsThe framework model of this research should be evaluated in different contexts worldwide or in another sector that can further identify the TQM-enabling factor and the correlation among these constructs.Practical implicationsThis article provides top managers of Vietnamese coffee firms with knowledge of TQM-enabling factors that may enable them to meet superior performance, including CSP, finance and reputation.Originality/valueThis is a unique study to employ the approach into the Vietnamese coffee industry context up-to-date, which is one of the essential sectors affecting Vietnam's sustainable development.
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Kumar A, Singh RK, Modgil S. Influence of data-driven supply chain quality management on organizational performance: evidences from retail industry. TQM JOURNAL 2020. [DOI: 10.1108/tqm-06-2020-0146] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
PurposeThe objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.Design/methodology/approachBased on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.FindingsThe research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.Originality/valueThe study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.
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Tseng ML, Tran TPT, Wu KJ, Tan RR, Bui TD. Exploring sustainable seafood supply chain management based on linguistic preferences: collaboration in the supply chain and lean management drive economic benefits. INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS 2020. [DOI: 10.1080/13675567.2020.1800608] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Ming-Lang Tseng
- Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
- Faculty of Economic and Management, University Kebangsaan Malaysia, Bangi, Malaysia
| | - Thi Phuong Thuy Tran
- Department of Business Administration, College of Management, Asia University, Taichung, Taiwan
- Foreign Trade University, Hochiminh City campus, Hanoi, Vietnam
| | - Kuo-Jui Wu
- School of Business, Dalian University of Technology, Panjin, People’s Republic of China
| | - Raymond R. Tan
- Department of Chemical Engineering, De La Salle University, Manila, Philippines
| | - Tat Dat Bui
- Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung, Taiwan
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Lu Y, Foropon CR, Wang D, Xu S. Arbitrage in gray markets and its impact on supply chain decisions. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2020. [DOI: 10.1108/jeim-02-2020-0069] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe purpose of this paper is to investigate the impacts of different gray markets’ structures on both supply chain decisions and associated profits.Design/methodology/approachWithin the context of gray markets, using game theory approach in this paper, supply chains have been considered as assets of manufacturers, distributors and speculators, within which manufacturers sell products to distinctive markets either directly or through authorized distributors, while speculators buy products from a lower price market and then sell them in a higher price market. Our study has examined different decision variables within such a framework.FindingsConsidering a situation where one manufacturer sells its products either directly in one market (Market 1) or through its authorized distributor (Market 2), due to different products prices in both markets, results have shown that, when market elasticity is less than its critical value, a speculator can sell a gray market product arbitrage in market 2, whereas when the market elasticity is greater than its critical value, a speculator can sell a gray market product arbitrage in market 1. In addition, manufacturers—as leaders of Stackelberg game—are always the most profitable stakeholders within a gray market supply chain.Practical implicationsIn this study, equilibrium results for each market have been obtained, optimal results have been compared, and accordingly, valuable insights have been developed. Such results would help managers to take better managerial decisions, as well as strategizing policies in gray markets.Originality/valueIn this paper, we have considered a gray market where both distributors and speculators exist and act as parallel channels. To the best of our knowledge, the extant literature focuses either on distributors or speculators, but never concurrently on both. In fact, the coexistence of one distributor and one speculator in a gray market will impact their own decisions, as well as both decisions and profits of other stakeholders, and hence, will exert an impact on the manufacturer side.
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Kaur M, Singh K, Singh D. Identification of barriers to synergistic implementation of TQM-SCM. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2020. [DOI: 10.1108/ijqrm-05-2019-0141] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe study aims at finding out major barriers for synergistic adoption of TQM-SCM in the medium- and large-scale manufacturing organizations in India. All these barriers create hurdles for the organizations as well as supply chain partners in improving their business performance. The study is a blend of theoretical and practical frameworks, which will focus on key barriers leading to interrupt the successful synergistic implementation of TQM-SCM in manufacturing organization.Design/methodology/approachFirstly, survey of 116 Indian organizations has been carried out to identify barriers that hinder successful implementation of TQM-SCM. Afterward, VIKOR approach was proposed to rank the major barriers of TQM-SCM implementation in Indian manufacturing organizations.FindingsIdentification of barriers to synergistic implementation of TQM-SCM in the manufacturing industry of India, ranking of these barriers in terms of their severity.Originality/valueThe adoption of TQM-SCM on synergistic basis is still in its early stages in India. To the authors’ knowledge, this is the first study that is designed to prioritize barriers responsible for hindering successful synergistic implementation of (TQM-SCM) in Indian manufacturing industry. Further, the results of the study will be helpful for managers in order to prepare action plans to overcome the hurdles to TQM-SCM implementation.
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Kaur M, Singh K, Singh D. Assessing the synergy status of TQM and SCM initiatives in terms of business performance of the medium and large scale Indian manufacturing industry. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2019. [DOI: 10.1108/ijqrm-07-2018-0192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to develop an insight into the prevalent quality and supply chain practices adopted in the contemporary Indian manufacturing industry, and compare business performance measurements between transfusion of total quality management (TQM)–supply chain management (SCM) companies and only SCM implementing companies.
Design/methodology/approach
To meet the goals of this work, i.e., to ascertain contributions made by TQM–SCM practices, a reasonably large number of Indian manufacturing organizations have been extensively surveyed, through a specially designed TQM–SCM questionnaire. And the design of TQM–SCM questionnaire has been finalized through extensive literature review. Finalized TQM–SCM questionnaire was sent to around 720 industries that are implementing TQM and SCM with other related lean manufacturing practices.
Findings
The leading Indian manufacturing organizations have taken proactive initiatives to effectively improve the manufacturing by transfusing various lean manufacturing philosophies like TQM, SCM, TPM, 5S, Six Sigma, etc., for realizing enhanced manufacturing performance. The study reveals that Indian entrepreneurs have been reasonably successful in improving the business performances in the organizations by implementing combination of TQM and SCM, as TQM support to SCM is much effective and this improvement initiative has significantly contributed toward enhancing the overall manufacturing performance.
Practical implications
Synergy of TQM and SCM in the context of Indian manufacturing industry has been proved beneficial in terms of competitive image as well as business performance. Therefore, the whole Indian manufacturing entrepreneurs must continue to make an earnest effort in their endeavour to realize enhanced competitiveness through synergizing different business improvement initiatives. A major implication is that only SCM implementing companies should develop their supply chain through synergy of TQM–SCM after analyzing the business environment and their future plans.
Originality/value
Much of the attention has been given to TQM practices and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know till now there is no study undertaken to analyze synergy status of TQM and SCM and then comparing with only SCM implementing companies in India for medium- and large-scale manufacturing class. Therefore, this study compares the transfusion of TQM–SCM with only SCM companies and can be, thus, treated as filling a gap in the extant literature. Therefore, the findings of this research paper will contribute to future research.
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Strategic impact of SCM and SCQM practices on competitive dimensions of Indian manufacturing industries. TQM JOURNAL 2019. [DOI: 10.1108/tqm-01-2019-0010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to evaluate the capabilities of total quality management (TQM) and supply chain management (SCM) and extract various significant factors which influence the implementation of SCM alone and synergy of both TQM–SCM in terms of business performance of Indian medium and large scale manufacturing industry.
Design/methodology/approach
In the present study, 116 Indian manufacturing organizations have been extensively surveyed to ascertain the inter-relationships between various success factors and competitive dimensions of SCM alone and for combined approach (TQM–SCM), through different statistical techniques. Further, to evaluate the significance of time period on competitive dimensions, two-tailed t-test has been deployed. Finally the discriminant validity test has been applied to extract highly successful and moderately successful organizations for both approaches.
Findings
The study compares the contributions played by only SCM initiatives and combined approach (TQM–SCM) initiatives toward realization of significant improvements of various competitive dimensions of Indian manufacturing organizations. Finally, this study reveals that synergistic relationship of TQM and SCM paradigms can be more helpful as compared to only SCM initiatives for Indian manufacturing industries to enhance overall business performance.
Originality/value
TQM and SCM are considered as performance improvement techniques by the manufacturing organizations. The present research work establishes that combined (TQM–SCM) initiatives have effectively contributed for realization of significant competitive dimensions, progressively from introduction to maturity phases. So, the study stresses upon the need for improving coordination between various manufacturing parameters as well as competitive dimensions of TQM and SCM paradigms to enjoy higher potential of business performance.
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Kaur M, Singh K, Singh D. Synergetic success factors of total quality management (TQM) and supply chain management (SCM). INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2019. [DOI: 10.1108/ijqrm-11-2017-0228] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is twofold: first, to present a set of critical factors for total quality management (TQM) and supply chain management (SCM) practices through an extensive literature review; and, second, to identify the relationships among them by comparing the identified TQM and SCM practices in order to explore the concept of supply chain quality management (SCQM).
Design/methodology/approach
To meet the goals of this work, a review of published quality research papers was carried out. For this, the authors identified papers on TQM and SCM practices and observed how these practices improve the business performance of organizations. Further, on the basis of identified practices, a conceptual model of SCQM was developed.
Findings
The results presented a set of six critical factors each for TQM and SCM practices. Further, it was found that management support and commitment, customer focus, information and supplier partnership are the most common practices found in both TQM and SCM practices. The integration of TQM and SCM (SCQM) throughout the supply chain has the strongest impact on the organizational performance.
Research limitations/implications
The study used data from various research papers of reputed journals which considered the study of India’s manufacturing industry as well as other countries, which may not provide a clear picture. However, this can be overcome by applying the findings of this paper to collect data from Indian manufacturing industry in future studies.
Practical implications
Indian manufacturing industry can improve its competitive image through the synergy of TQM and SCM. The result of this paper will help in providing a greater understanding of identified TQM and SCM practices that will lead to the successful implementation of TQM and SCM strategies to enhance business performance in terms of the improved levels of customer service.
Originality/value
Much of the attention is given on TQM and SCM practices, and very few studies have been undertaken to integrate TQM and SCM practices. But as far as the authors know, there is no study undertaken to integrate TQM and SCM practices in India for the manufacturing class. Therefore, this study compares TQM and SCM practices and considers their integration and can be thus treated as filling a gap in the extant literature. Therefore, the findings of this review paper will contribute in future research.
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A classification scheme for representing the variation in business and supply chain performance in Indian manufacturing industry. BENCHMARKING-AN INTERNATIONAL JOURNAL 2017. [DOI: 10.1108/bij-04-2016-0049] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to identify a classification scheme which represents the variation in business and supply chain performance of supply chains in Indian manufacturing industry. Classification is done by presenting an empirical taxonomy of clusters representing supply chains in Indian manufacturing industry based on variation in supply chain excellence index (SCEI) and business performance index (BPI).
Design/methodology/approach
The clustering of supply chains in Indian manufacturing industry is done by considering BPI and SCEI as clustering variables, which were found by using survey responses and results of a prior empirical study which was carried out in Indian manufacturing industry. The cluster analysis is performed by using Ward’s agglomerative hierarchical clustering followed by using K-means clustering algorithm to establish final set of clusters.
Findings
It was found that supply chains in Indian manufacturing industries can be clustered in four major clusters which are named as strategic, celebrity, capable and undeveloped cluster. The characteristics of these clusters reveal some major characteristics of supply chains in Indian manufacturing industry.
Originality/value
The research work presented in this paper takes a novel way to introduce the clusters of supply chains in Indian manufacturing industry. The researchers who are seeking patterns in large data sets of manufacturing companies of Indian industry will be benefitted by using the proposed clusters. While practitioners who are seeking to move their supply chain one step ahead will also reap the benefits of the paper by seeking the characteristics of particular cluster.
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