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Identification and modelling of barriers in the implementation of TQM

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  • Tilak Raj
  • Rajesh Attri

Abstract

Total quality management (TQM) implementation has been an important aspect for improving organisational efficiency. Organisations work for TQM implementation, spend their resources on it and expect anticipated benefits of TQM in terms of profitability, customer satisfaction and quality of product. There are, however, certain barriers which inhibit the successful implementation of TQM. The main objective of this paper is to understand the mutual interaction of these barriers and identify the 'driving barriers' (i.e. which influence the other barriers) and the 'dependent barriers' (i.e. which are influenced by others). In the present work, these barriers have been identified through the literature, their ranking is done by a questionnaire-based survey and interpretive structural modelling (ISM) approach has been utilised in analysing their mutual interaction. An ISM model has been prepared to identify some key barriers and their managerial implications in the implementation of TQM.

Suggested Citation

  • Tilak Raj & Rajesh Attri, 2011. "Identification and modelling of barriers in the implementation of TQM," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 8(2), pages 153-179.
    • Handle: RePEc:ids:ijpqma:v:8:y:2011:i:2:p:153-179
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    Citations

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    Cited by:

    1. Jyoti Prakas Majumdar & B. Murali Manohar, 2016. "Why Indian manufacturing SMEs are still reluctant in adopting total quality management," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 17(1), pages 16-35.
    2. Shubham Gupta & Pradeep Khanna & Umang Soni, 2023. "Analyzing the interaction of critical success factor for TQM implementation- A grey-DEMATEL approach," Operations Management Research, Springer, vol. 16(3), pages 1619-1640, September.
    3. Irameet Kaur & Charu Shri & K.M. Mital, 2016. "Modelling Enhancement of Team Emotional Intelligence," Vision, , vol. 20(3), pages 184-198, September.
    4. Arif Jamal Habib Gokak & Smita Mehendale & Sanjay M. Bhāle, 2023. "Modelling and analysis for higher education shadow institutions in Indian context: an ISM approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3425-3451, August.
    5. Sanaz Shafiee & Ali Rajabzadeh Ghatari & Alireza Hasanzadeh & Saeed Jahanyan, 2022. "Developing a model for smart tourism destinations: an interpretive structural modelling approach," Information Technology & Tourism, Springer, vol. 24(4), pages 511-546, December.
    6. Amir Latif & Martha Fani Cahyandito & Gemilang Lara Utama, 2023. "Circular Economy Concept at the Micro-Level: A Case Study of Taruna Mukti Farmer Group, Bandung Regency, West Java, Indonesia," Agriculture, MDPI, vol. 13(3), pages 1-14, February.
    7. Satyabrata Aich & Sushanta Tripathy & Moon-Il Joo & Hee-Cheol Kim, 2021. "Critical Dimensions of Blockchain Technology Implementation in the Healthcare Industry: An Integrated Systems Management Approach," Sustainability, MDPI, vol. 13(9), pages 1-17, May.
    8. Paranitharan Kannusamy Panneer Selvam & Ramesh Babu Thangavelu, 2019. "The IMBES model for achieving excellence in manufacturing industry: an interpretive structural modeling approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 602-622, August.
    9. Rajesh Attri & Sandeep Grover, 2017. "Modelling the quality enabled factors of facility layout design stage of production system life cycle," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 413-423, January.

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