An interpretive structural modelling approach for modelling the practices of total quality management in service sector

Talib, Faisal; Rahman, Zillur; Qureshi, M.N.

doi:10.1504/ijmom.2011.039528

Cited by 58 publications

(46 citation statements)

References 85 publications

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“…Linkage variables can be considered relatively unstable (Singh et al 2007;Talib et al 2011). Therefore, in the context of innovation through BOLD, any action on almost all the variables will have an effect on the others as well as feedback on themselves.…”

Section: Discussionmentioning

confidence: 99%

“…Similarly, Agarwal et al (2007) applied ISM to identify and analyse the interrelationships of the variables influencing supply chain agility. Moreover, Talib et al (2011) employed ISM to analyse the interactions among the barriers to total quality management implementation. The application of ISM typically forces managers to review perceived priorities and improves their understanding of the linkages among key concerns.…”

Section: Methodsmentioning

confidence: 99%

“…As acceptance is a factor with weak driving power and relatively high dependence power, practitioners should give high priority to understanding the acceptance of innovations and using BOLD. All other factors except acceptance and data quality fall under the linkage cluster, making them unstable as any action on these factors will have an impact on the others and also feedback on themselves (Talib et al 2011). This reiterates the importance for practitioners to ensure their attention is shared across all variables identified.…”

Section: Practical Implicationsmentioning

confidence: 99%

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Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

et al. 2016

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Innovation is vital to find new solutions to problems, increase quality, and improve profitability. Big open linked data (BOLD) is a fledgling and rapidly evolving field that creates new opportunities for innovation. However, none of the existing literature has yet considered the interrelationships between antecedents of innovation through BOLD. This research contributes to knowledge building through utilising interpretive structural modelling to organise nineteen factors linked to innovation using BOLD identified by experts in the field. The findings show that almost all the variables fall within the linkage cluster, thus having high driving and dependence powers, demonstrating the volatility of the process. It was also found that technical infrastructure, data quality, and external pressure form the fundamental foundations for innovation through BOLD. Deriving a framework to encourage and manage innovation through BOLD offers important theoretical and practical contributions.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Practical Implicationsmentioning

confidence: 99%

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Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

et al. 2016

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“…Soti et al (2010) used the ISM to study the enablers of six-sigma and to establish the relationship among them. Talib et al (2011) utilize the ISM methodology to understand the mutual relationship among the TQM practices and presented a hierarchy-based model of the practices. Singh (2011) employed ISM approach to develop the structural relationship among different factors of coordination and responsiveness in supply chain to take strategic decision.…”

Section: Ism Methodologymentioning

confidence: 99%

Integration of Six Sigma and ISM to improve Supply Chain Coordination – A conceptual framework

Mishra¹,

Sharma²

2015

Int. J. Prod. Manag. Eng.

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To achieve competitiveness and to improve supply chain performance, supply chain coordination (SCC) is considered as a key challenge by the companies to satisfy their customers. In today's turbulent economic environment, SCC is a topic of great significance among business houses because SCC creates understanding, molds human behavior and improve competitiveness. As observed from literature that the dynamics of global market has resulted in serious pressure and distraction to activities of various supply chain entities i.e. suppliers, manufacturer, distributors, wholesaler, retailers and customers, which ultimately affects the SC performance. Thus, supply chains are exposed to risks due to uncertain and turbulent economic environment. To overcome these challenges, authors in this study developed a conceptual framework based on Six Sigma and ISM which can be used to study various supply chain dimensions be it human, process or quality dimensions. The main advantage of this framework is that it not only helps to understand information regarding the strength and weaknesses of various supply chain entities in a supply chain but also helps to determine the structural relationship among key dimensions of interest. The proposed framework can be applied by industries to model and analyze their processes effectively, compare their performance both within and outside their industry segment and thus improve competitiveness by following various supply chain management practices.

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“…As a result basic metals sector plays a limited role in the country's economic development, GDP contribution as well as employment creation and a means of foreign substitution and foreign exchange. However, both developed and developing nation firms are now looking at securing cost, quality, technology, sustainability, knowledge, health, resource and other competitive advantages as strategies to pursue in a globally competitive environment [29][30][31][32][33]. As result currently in highly competitive and complex marketplace, a company follows with a more effective and efficient continuous improvement tool and systems have one of critical ingredients for improving company performances and attain global competitiveness.…”

Section: Competitiveness Analysis Using Cause and Effect Diagrammentioning

confidence: 99%

The Roles of TQM and JIT For Basic Metal Industries Global Competitiveness

Aw¹,

Kitaw²,

Ebinger³

2017

Ind Eng Manage

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The purpose of this study is to develop an integrated continuous improvement model so as to improving the global competitiveness of basic metal industries. The study concerned on the Ethiopian basic metal-manufacturing firms, with a special emphasis on the medium and large manufacturing industries. However, basic metal industries occupy a prominent position in the development agenda of many developing countries like Ethiopia. Hence, this study investigated the role of continuous improvement for global competition of basic metal industries, so as to tackle global competition problems on the firms. From numerous contentious improvements, we have to emphasis integrated JIT and TQM implementation on basic metal industries to improve competitive performance. The survey study is conduct through field observation, literature review of research articles, books, magazines, manuals, company report and electronic-sources which are analysis. A case study also conducted at Kaliti Metal Products Factory. The survey data is analyzed using descriptive analysis, SPCT (fishbone diagram). At literature level, the global competitiveness of Ethiopian economy was assessed and the current trends of continuous improvement tools implementation for global competitiveness of basic metal industries was analyzed. Poor supply chain system, manpower, raw material problems, energy fluctuation, outdated technology, manufacturing systems, financial and logistics problems are identified as the obstacles and influence the Ethiopian basic metal industry performance and global competitiveness. Based on the investigations an integrated continuous improving models are developed so as to improve the performance and global competitiveness of basic metal industries.

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An interpretive structural modelling approach for modelling the practices of total quality management in service sector

Cited by 58 publications

References 85 publications

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

Driving innovation through big open linked data (BOLD): Exploring antecedents using interpretive structural modelling

Integration of Six Sigma and ISM to improve Supply Chain Coordination – A conceptual framework

The Roles of TQM and JIT For Basic Metal Industries Global Competitiveness

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