How to cite this paper
Sharma, V., Grover, S & Sharma, S. (2017). Analyzing the barriers affecting the effective utilization of quality tools and techniques using Integrated ISM approach.Management Science Letters , 7(11), 525-540.
Refrences
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Attri, R., & Grover, S. (2015a). Analyzing the scheduling system stage of production system life cy-cle. Management Science Letters, 5(5), 431-442.
Attri, R., & Grover, S. (2015b). Contextual relationship among the quality enabled factors of invento-ry control system stage. International Journal of Recent advances in Mechanical Engineering, 4(2), 45-57.
Baumgartner, R. J., & Zielowski, C. (2007). Analyzing zero emission strategies regarding impact on organizational culture and contribution to sustainable development. Journal of Cleaner Produc-tion, 15(13), 1321-1327.
Capó-Vicedo, J., Mula, J., & Capó, J. (2011). A social network-based organizational model for im-proving knowledge management in supply chains. Supply Chain Management: An International Journal, 16(4), 284-293.
Cheng, J. H., Yeh, C. H., & Tu, C. W. (2008). Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal, 13(4), 283-295.
Cohen, S., & Brand, R. (1993). Total quality management in government. Jossey-Bass.
Dwivedi, Y. K., Janssen, M., Slade, E. L., Rana, N. P., Weerakkody, V., Millard, J., ... & Snijders, D. (2017). Driving innovation through big open linked data (BOLD): Exploring antecedents using in-terpretive structural modelling. Information Systems Frontiers, 19(2), 197-212.
Ertas, A., Smith, M. W., Tate, D., Lawson, W. D., & Baturalp, T. B. (2016). Complexity of system maintainability analysis based on the interpretive structural modeling methodology: Transdiscipli-nary approach. Journal of Systems Science and Systems Engineering, 25(2), 254-268.
Garg, A., Shukla, B., & Kendall, G. (2015). Barriers to implementation of IT in educational institu-tions. The International Journal of Information and Learning Technology, 32(2), 94-108.
Gehin, A., Zwolinski, P., & Brissaud, D. (2008). A tool to implement sustainable end-of-life strategies in the product development phase. Journal of Cleaner Production, 16(5), 566-576.
Govindan, K., Shankar, K. M., & Kannan, D. (2016). Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production–a study in an Indian scenario. Journal of Cleaner Production, 114, 199-213.
Govindan, K., Palaniappan, M., Zhu, Q., & Kannan, D. (2012). Analysis of third party reverse logis-tics provider using interpretive structural modeling. International Journal of Production Econom-ics, 140(1), 204-211.
Huang, C. C., & Lin, S. H. (2010). Sharing knowledge in a supply chain using the semantic web. Expert Systems with Applications, 37(4), 3145-3161.
Ingwersen, W. W., & Stevenson, M. J. (2012). Can we compare the environmental performance of this product to that one? An update on the development of product category rules and future chal-lenges toward alignment. Journal of Cleaner Production, 24, 102-108.
Jharkharia, S., & Shankar, R. (2004). IT enablement of supply chains: modeling the ena-blers. International Journal of Productivity and Performance Management, 53(8), 700-712.
Kaebernick, H., & Kara, S. (2006, May). Environmentally sustainable manufacturing: a survey on in-dustry practices. In Proceedings of 13th CIRP international conference on life cycle engineer-ing (pp. 19-28).
Kannan, G., Pokharel, S., & Kumar, P. S. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resources, conservation and recycling, 54(1), 28-36.
Kara, S., Honke, I., & Kaebernick, H. (2005, December). An integrated framework for implementing sustainable product development. In Environmentally Conscious Design and Inverse Manufactur-ing, 2005. Eco Design 2005. Fourth International Symposium on (pp. 684-691). IEEE.
Kara, S., Manmek, S., & Kaebernick, H. (2007). An integrated methodology to estimate the external environmental costs of products. CIRP Annals-Manufacturing Technology, 56(1), 9-12.
Khurana, V.K. (2009). Management of Technology and Innovation. Ane Books Pvt Ltd.
Kuo, T. H. (2013). How expected benefit and trust influence knowledge sharing. Industrial Manage-ment & Data Systems, 113(4), 506-522.
Liker, J. K., & Hoseus, M. (2008). Toyota culture: The heart and soul of the Toyota way. McGraw-Hill, New York.
Ljungström, M., & Klefsjö, B. (2002). Implementation obstacles for a work development-oriented TQM strategy. Total Quality Management, 13(5), 621-634.
Luthra, S., Garg, D., & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspec-tive. Resources Policy, 46, 37-50.
Muhammad, N., & Jeng Feng, C. (2014). Methodology to optimize value in discrete event imulation for production planning and control studies. In Proceedings of the International Conference on In-dustrial Engineering and Operations Management (pp. 676-684).
Newall, D., & Dale, B. G. (1991). The introduction and development of a quality improvement pro-cess: a study. The International Journal of Production Research, 29(9), 1747-1760.
Purohit, J. K., Mittal, M. L., Mittal, S., & Sharma, M. K. (2016). Interpretive structural modeling-based framework for mass customisation enablers: An Indian footwear case. Production Planning & Control, 27(9), 774-786.
Raj, T., & Attri, R. (2011). Identification and modelling of barriers in the implementation of TQM. International Journal of Productivity and Quality Management, 8(2), 153-179.
Rajaprasad, S. V. S., & Chalapathi, P. V. (2015). Factors influencing implementation of OHSAS 18001 in Indian construction organizations: interpretive structural modeling approach. Safety and health at work, 6(3), 200-205.
Sage, A. (1977). Interpretive structural modeling: methodology for large-scale systems, 91–164.
Sharma, H. D., & Gupta, A. D. (1995). The objectives of waste management in India: a futures in-quiry. Technological Forecasting and Social Change, 48(3), 285-309.
Shen, L., Song, X., Wu, Y., Liao, S., & Zhang, X. (2016). Interpretive Structural Modeling based fac-tor analysis on the implementation of Emission Trading System in the Chinese building sec-tor. Journal of Cleaner Production, 127, 214-227.
Singh, J., Rastogi, V., & Sharma, R. (2014). Implementation of 5S practices: A review. Uncertain Supply Chain Management, 2(3), 155-162.
Sureshchandar, G. S., Rajendran, C., & Anantharaman, R. N. (2001). A holistic model for total quali-ty service. International Journal of Service Industry Management, 12(4), 378-412.
Talib, F., Rahman, Z., & Qureshi, M. N. (2011). Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling ap-proach. Benchmarking: An International Journal, 18(4), 563-587.
Talib, F., Rahman, Z., & Qureshi, M. N. (2011). An interpretive structural modelling approach for modelling the practices of total quality management in service sector. International Journal of Modelling in Operations Management, 1(3), 223-250.
Thakkar, J., Deshmukh, S. G., Gupta, A. D., & Shankar, R. (2005, January). Selection of third-party logistics (3PL): a hybrid approach using interpretive structural modeling (ISM) and analytic net-work process (ANP). In Supply Chain Forum: An International Journal, 6(1), 32-46.
Trivedi, A., Singh, A., & Chauhan, A. (2015). Analysis of key factors for waste management in hu-manitarian response: An interpretive structural modelling approach. International Journal of Disas-ter Risk Reduction, 14, 527-535.
Vasanthakumar, C., Vinodh, S., & Ramesh, K. (2016). Application of interpretive structural model-ling for analysis of factors influencing lean remanufacturing practices. International Journal of Production Research, 54(24), 7439-7452.
Venkatesh, V. G., Rathi, S., & Patwa, S. (2015). Analysis on supply chain risks in Indian apparel re-tail chains and proposal of risk prioritization model using Interpretive structural modeling. Journal of Retailing and Consumer Services, 26, 153-167.
Vinodh, S., Ramesh, K., & Arun, C. S. (2016). Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system. Clean Technologies and Envi-ronmental Policy, 18(2), 413-428.
Warfield, J.N. (1974), Toward interpretation of complex structural modeling, IEEE Transaction on Systems and Man Cybernetics, 4(5), 405-417.
Yin, S. H., Wang, C. C., Teng, L. Y., & Hsing, Y. M. (2012). Application of DEMATEL, ISM, and ANP for key success factor (KSF) complexity analysis in RD alliance. Scientific Research and Es-says, 7(19), 1872-1890.
Attri, R., & Grover, S. (2015a). Analyzing the scheduling system stage of production system life cy-cle. Management Science Letters, 5(5), 431-442.
Attri, R., & Grover, S. (2015b). Contextual relationship among the quality enabled factors of invento-ry control system stage. International Journal of Recent advances in Mechanical Engineering, 4(2), 45-57.
Baumgartner, R. J., & Zielowski, C. (2007). Analyzing zero emission strategies regarding impact on organizational culture and contribution to sustainable development. Journal of Cleaner Produc-tion, 15(13), 1321-1327.
Capó-Vicedo, J., Mula, J., & Capó, J. (2011). A social network-based organizational model for im-proving knowledge management in supply chains. Supply Chain Management: An International Journal, 16(4), 284-293.
Cheng, J. H., Yeh, C. H., & Tu, C. W. (2008). Trust and knowledge sharing in green supply chains. Supply Chain Management: An International Journal, 13(4), 283-295.
Cohen, S., & Brand, R. (1993). Total quality management in government. Jossey-Bass.
Dwivedi, Y. K., Janssen, M., Slade, E. L., Rana, N. P., Weerakkody, V., Millard, J., ... & Snijders, D. (2017). Driving innovation through big open linked data (BOLD): Exploring antecedents using in-terpretive structural modelling. Information Systems Frontiers, 19(2), 197-212.
Ertas, A., Smith, M. W., Tate, D., Lawson, W. D., & Baturalp, T. B. (2016). Complexity of system maintainability analysis based on the interpretive structural modeling methodology: Transdiscipli-nary approach. Journal of Systems Science and Systems Engineering, 25(2), 254-268.
Garg, A., Shukla, B., & Kendall, G. (2015). Barriers to implementation of IT in educational institu-tions. The International Journal of Information and Learning Technology, 32(2), 94-108.
Gehin, A., Zwolinski, P., & Brissaud, D. (2008). A tool to implement sustainable end-of-life strategies in the product development phase. Journal of Cleaner Production, 16(5), 566-576.
Govindan, K., Shankar, K. M., & Kannan, D. (2016). Application of fuzzy analytic network process for barrier evaluation in automotive parts remanufacturing towards cleaner production–a study in an Indian scenario. Journal of Cleaner Production, 114, 199-213.
Govindan, K., Palaniappan, M., Zhu, Q., & Kannan, D. (2012). Analysis of third party reverse logis-tics provider using interpretive structural modeling. International Journal of Production Econom-ics, 140(1), 204-211.
Huang, C. C., & Lin, S. H. (2010). Sharing knowledge in a supply chain using the semantic web. Expert Systems with Applications, 37(4), 3145-3161.
Ingwersen, W. W., & Stevenson, M. J. (2012). Can we compare the environmental performance of this product to that one? An update on the development of product category rules and future chal-lenges toward alignment. Journal of Cleaner Production, 24, 102-108.
Jharkharia, S., & Shankar, R. (2004). IT enablement of supply chains: modeling the ena-blers. International Journal of Productivity and Performance Management, 53(8), 700-712.
Kaebernick, H., & Kara, S. (2006, May). Environmentally sustainable manufacturing: a survey on in-dustry practices. In Proceedings of 13th CIRP international conference on life cycle engineer-ing (pp. 19-28).
Kannan, G., Pokharel, S., & Kumar, P. S. (2009). A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resources, conservation and recycling, 54(1), 28-36.
Kara, S., Honke, I., & Kaebernick, H. (2005, December). An integrated framework for implementing sustainable product development. In Environmentally Conscious Design and Inverse Manufactur-ing, 2005. Eco Design 2005. Fourth International Symposium on (pp. 684-691). IEEE.
Kara, S., Manmek, S., & Kaebernick, H. (2007). An integrated methodology to estimate the external environmental costs of products. CIRP Annals-Manufacturing Technology, 56(1), 9-12.
Khurana, V.K. (2009). Management of Technology and Innovation. Ane Books Pvt Ltd.
Kuo, T. H. (2013). How expected benefit and trust influence knowledge sharing. Industrial Manage-ment & Data Systems, 113(4), 506-522.
Liker, J. K., & Hoseus, M. (2008). Toyota culture: The heart and soul of the Toyota way. McGraw-Hill, New York.
Ljungström, M., & Klefsjö, B. (2002). Implementation obstacles for a work development-oriented TQM strategy. Total Quality Management, 13(5), 621-634.
Luthra, S., Garg, D., & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspec-tive. Resources Policy, 46, 37-50.
Muhammad, N., & Jeng Feng, C. (2014). Methodology to optimize value in discrete event imulation for production planning and control studies. In Proceedings of the International Conference on In-dustrial Engineering and Operations Management (pp. 676-684).
Newall, D., & Dale, B. G. (1991). The introduction and development of a quality improvement pro-cess: a study. The International Journal of Production Research, 29(9), 1747-1760.
Purohit, J. K., Mittal, M. L., Mittal, S., & Sharma, M. K. (2016). Interpretive structural modeling-based framework for mass customisation enablers: An Indian footwear case. Production Planning & Control, 27(9), 774-786.
Raj, T., & Attri, R. (2011). Identification and modelling of barriers in the implementation of TQM. International Journal of Productivity and Quality Management, 8(2), 153-179.
Rajaprasad, S. V. S., & Chalapathi, P. V. (2015). Factors influencing implementation of OHSAS 18001 in Indian construction organizations: interpretive structural modeling approach. Safety and health at work, 6(3), 200-205.
Sage, A. (1977). Interpretive structural modeling: methodology for large-scale systems, 91–164.
Sharma, H. D., & Gupta, A. D. (1995). The objectives of waste management in India: a futures in-quiry. Technological Forecasting and Social Change, 48(3), 285-309.
Shen, L., Song, X., Wu, Y., Liao, S., & Zhang, X. (2016). Interpretive Structural Modeling based fac-tor analysis on the implementation of Emission Trading System in the Chinese building sec-tor. Journal of Cleaner Production, 127, 214-227.
Singh, J., Rastogi, V., & Sharma, R. (2014). Implementation of 5S practices: A review. Uncertain Supply Chain Management, 2(3), 155-162.
Sureshchandar, G. S., Rajendran, C., & Anantharaman, R. N. (2001). A holistic model for total quali-ty service. International Journal of Service Industry Management, 12(4), 378-412.
Talib, F., Rahman, Z., & Qureshi, M. N. (2011). Analysis of interaction among the barriers to total quality management implementation using interpretive structural modeling ap-proach. Benchmarking: An International Journal, 18(4), 563-587.
Talib, F., Rahman, Z., & Qureshi, M. N. (2011). An interpretive structural modelling approach for modelling the practices of total quality management in service sector. International Journal of Modelling in Operations Management, 1(3), 223-250.
Thakkar, J., Deshmukh, S. G., Gupta, A. D., & Shankar, R. (2005, January). Selection of third-party logistics (3PL): a hybrid approach using interpretive structural modeling (ISM) and analytic net-work process (ANP). In Supply Chain Forum: An International Journal, 6(1), 32-46.
Trivedi, A., Singh, A., & Chauhan, A. (2015). Analysis of key factors for waste management in hu-manitarian response: An interpretive structural modelling approach. International Journal of Disas-ter Risk Reduction, 14, 527-535.
Vasanthakumar, C., Vinodh, S., & Ramesh, K. (2016). Application of interpretive structural model-ling for analysis of factors influencing lean remanufacturing practices. International Journal of Production Research, 54(24), 7439-7452.
Venkatesh, V. G., Rathi, S., & Patwa, S. (2015). Analysis on supply chain risks in Indian apparel re-tail chains and proposal of risk prioritization model using Interpretive structural modeling. Journal of Retailing and Consumer Services, 26, 153-167.
Vinodh, S., Ramesh, K., & Arun, C. S. (2016). Application of interpretive structural modelling for analysing the factors influencing integrated lean sustainable system. Clean Technologies and Envi-ronmental Policy, 18(2), 413-428.
Warfield, J.N. (1974), Toward interpretation of complex structural modeling, IEEE Transaction on Systems and Man Cybernetics, 4(5), 405-417.
Yin, S. H., Wang, C. C., Teng, L. Y., & Hsing, Y. M. (2012). Application of DEMATEL, ISM, and ANP for key success factor (KSF) complexity analysis in RD alliance. Scientific Research and Es-says, 7(19), 1872-1890.