Caution Notice

Volume 1, Issue 1

Home / Journal / Browse Issues / Journal Of General Management Research /
Volume 1, Issue 1

Transfer of Environmentally Sound Technologies


Manju Singh and Abhishek Behl


Symbiosis International University, Pune, India


The application of new, resource efficient Environmentally Sound Technologies (ESTs) has become crucial for both development and the environment. Technology transfer is most fundamentally complex process of learning and the effective transfer is not possible until all the factors related to transfer process is well understood. Present paper aims to understand Hierarchy and inter-relationship among barriers to the process of adoption of environmentally sound technologies using an interpretive structural modelling (ISM) technique. The paper will reveal how ISM supports policy planners and implementing agencies in recognizing and exploring interdependencies among barriers to EST. The main findings of the paper contain the development of Hierarchy and inter-relationship of barriers to EST adoption with ISM model. The identified barriers are divided into five blocks of Hierarchy that display their inter-relationship depicting the driving-dependence relationship. This academic exercise of ISM model development is expected to direct a way forward to the policy planners, makers and implementers to leverage their resources optimally with effective adoption of EST.


Interpretive Structural Modeling, Environmental Sound Technology, Barriers

  1. Cooray, N. (1999), “Cleaner production assessment in small and medium industries of Sri Lanka”, Global Competitiveness through Cleaner Production, Proceedings of the Second Asia Pacific Cleaner Production Roundtable, Brisbane, April 21-23, pp. 108-114.
  2. Del Rı´o, P., Carrillo-Hermosilla, J. and Ko¨nno¨la¨, T. (2010), “Policy strategies to promote eco-innovation”, Journal of Industrial Ecology, Vol. 14 No. 4, pp. 541-557.
  3. Del Rı´o Gonza´lez, P. (2005), “Analysing the factors influencing clean technology adoption – a study of the Spanish pulp and paper industry”, Business Strategy and the Environment, Vol. 14 No. 1, pp. 20-37.
  4. Dwyer, J. (2007), “Unsustainable measures”, IET Manufacturing, Vol. 86 No. 6, pp. 14-19.
  5. Herren, A. and Hadley, J. (2010), “Barriers to environmental sustainability facing small businesses in Durham, NC”, Masters Project, Duke University, Durham, NC.
  6. IEA (2007), “Tracking industrial energy efficiency and CO2-emissions – in support of the G8 plan of action”, available at: textbase/nppdf/free/2007/tracking_emissions. pdf (accessed July 1, 2011).
  7. Ioannou, K. and Veshagh, A. (2011), “Managing sustainability in product design and manufacturing”, in Hesselbach, J. and Herrmann, C. (Eds), Globalized Solutions for Sustainability in Manufacturing – Proceedings of the 18th CIRP International Conference on LCE, Springer, Berlin, Heidelberg, pp. 213-218.
  8. Jharkharia, S. and Shankar, R. (2005), “IT- enablement of supply chains: understanding the barriers”, Journal of Enterprise Information Management, Vol. 18 No. 1, pp. 11-27.
  9. Kaebernick, H. and Kara, S. (2006), “Environmentally sustainable manufacturing: a survey on industry practices”, Proceeding of LCE 2006, May 31-June 2, KU Leuven, pp. 19-28.
  10. Koho, M., Torvinen, S. and Romiguer, A.T.(2011), “Objectives, enablers and challenges of sustainable development and sustainable manufacturing: views and opinions of Spanish companies, assembly and manufacturing (ISAM)”, 2011 IEEE International Symposium, Tampere University of Technology, Tampere, May 25-27, pp. 1-6, available at: http://¼5942343 (accessed April 28, 2012).
  11. Luken, R. and Van Rompaey, F. (2008), “Drivers for and barriers to environmentally sound technology adoption by manufacturing plants in nine developing countries”, Journal of Cleaner Production, Vol. 16 No. S1, pp. 67-77.
  12. Luthra, S., Kumar, V., Kumar, S. and Haleem, A. (2011), “Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique – an Indian perspective”, Journal of Industrial Engineering and Management, Vol. 4 No. 2, pp. 231-257.
  13. Mandal, A. and Deshmukh, S.G. (1994), “Vendor selection using interpretive structural modelling (ISM)”, International Journal of Operations & Production Management, Vol. 14 No. 6, pp. 52-59.
  14. Massoud, M.A., Fayad, R., Kamleh, R. and El-Fadel, M. (2010), “Environmental management system (ISO 14001) certification in developing countries: challenges and implementation strategies”, Environment, Science and Technology, Vol. 44 No. 6, pp. 1884-1887.
  15. Mitchell, C.L. (2006), “Beyond barriers: examining root causes behind commonly cited cleaner production barriers in Vietnam”, Journal of Cleaner Production, Vol. 14 No. 18, pp. 1576-1585.
  16. Mittal, V.K. and Sangwan, K.S. (2011), “Development of an interpretive structural model of obstacles to environmentally conscious technology adoption in Indian industry”.
  17. Proceeding of the 18th CIRP International Conference on Life Cycle Engineering (LCE 2011), Technische Universita¨t, Braunschweig, May 2-4.
  18. Mittal, V.K., Sangwan, K.S., Herrmann, C. and Egede, P. (2013), “Comparison of drivers and barriers to green manufacturing: a case of India and Germany”, Proceeding of the 20th CIRP International Conference on Life Cycle Engineering (LCE 2013), Singapore, April 17- 19.
  19. Mittal, V.K., Sangwan, K.S., Herrmann, C., Egede, P. and Wulbusch, C. (2012), “Drivers and barriers of environmentally conscious manufacturing: a comparative study of Indian and German organizations”, Proceeding of the 19th CIRP Conference on Life Cycle Engineering, Leveraging Technology for a Sustainable World, Springer, Berlin, Heidelberg, May 23-25, pp. 97-102.
  20. Montalvo, C. (2008), “General wisdom concerning the factors affecting the adoption of cleaner technologies – a survey 1990-2007”, Journal of Cleaner Production, Vol. 16 No. 1, pp. 7-13.
  21. Moors, E.H.M., Mulder, K.F. and Vergragt, P.J.(2005), “Towards cleaner production: barriers and strategies in the base metals producing industry”, Journal of Cleaner Production, Vol.13 No. 7, pp. 657-668.
  22. Ravi, V. and Shankar, R. (2005), “Analysis of interactions among the barriers of reverse logistics”, International Journal of Technological Forecasting & Social change, Vol. 72 No. 8, pp. 1011-1029.
  23. Sage, A.P. (1977), Interpretive Structural Modeling: Methodology for Large-Scale Systems, McGraw-Hill, New York, NY, pp. 91-164.
  24. Sangwan, K.S. (2006), “Performance value analysis for justification of green manufacturing systems”, Journal of Advanced Manufacturing Systems, Vol. 5 No. 1, pp. 59-73.
  25. Sangwan, K.S. (2011), “Development of a multi criteria decision model for justification of green manufacturing systems”, International Journal of Green Economics, Vol. 5 No. 3, pp. 285-305.
  26. Scho¨nsleben, P., Vodicka, M., Bunse, K. and Ernst, F.O. (2010), “The changing concept of sustainability and economic opportunities for energy-intensive industries”, CIRP Annals – Manufacturing Technology, Vol. 59 No. 1, pp.477-480.
  27. Seidel, M., Seidel, R., Des, T., Cross, R., Wait, L. and Ha¨mmerle, E. (2009), “Overcoming barriers to implementing environmentally benign manufacturing practices – strategic tools for SMEs”, Environmental Quality Management, Vol. 18 No. 3, pp. 37-55.
  28. Shi, H., Peng, S.Z., Liu, Y. and Zhong, P. (2008), “Barriers to the implementation of cleaner production in Chinese SMEs – government, industry and expert stakeholders’ perspectives”, Journal of Cleaner Production, Vol. 16 No. 7, pp. 842-852.
  29. Siaminwe, L., Chinsembu, K.C. and Syakalima, M. (2005), “Policy and operational constraints for the implementation of cleaner production in Zambia”, Journal of Cleaner Production, Vol. 13 Nos 10-11, pp. 1037-1047.
  30. Singh, A., Singh, B. and Dhingra, A.K. (2012), “Drivers and barriers of green manufacturing practices: a survey of Indian industries”, International Journal of Engineering Sciences, Vol. 12 No. 1, pp. 5-19.
  31. Singh, M.D., Shankar, R., Narain, R. and Agarwal, A. (2003), “An interpretive structural modeling of knowledge management in engineering industries”, Journal of Advances in Management Research, Vol. 1 No. 1, pp. 28-40.
  32. Singh, P.J. (2010), “Development of performance measures for environmentally conscious manufacturing”, PhD thesis, Punjab University, Chandigarh.
  33. Singh, R.K., Garg, S.K. and Deshmukh, S.G.(2007), “Interpretive structural modelling of factors for improving competitiveness of SMEs”, International Journal of Productivity and Quality Management, Vol. 2 No. 4, pp. 423-440.
  34. Studer, S., Welford, R. and Hills, P. (2006), “Engaging Hong Kong businesses in environmental change: drivers and barriers”, Business Strategy and the Environment, Vol. 15 No. 6, pp. 416-431.
  35. Veshagh, A. and Li, W. (2006), “Survey of eco design and manufacturing in automotive SMEs”,Proceeding of LCE 2006, May 31-June 2, KU Leuven, pp. 305-310.
  36. Wang, G.H., Wang, Y.X. and Zhao, T. (2008), “Analysis of interactions among barriers to energy saving in China”, Energy Policy, Vol. 36 No. 6, pp. 1879-1889.
  37. Yu, J., Hills, P. and Welford, R. (2008), “Extended producer responsibility and eco-design changes: perspectives from China”, Corporate Social Responsibility and Environmental Management, Vol. 15 No. 2, pp. 111-124.
  38. Yuksel, H. (2008), “An empirical evaluation of cleaner production practices in Turkey”, Journal of Cleaner Production, Vol. 16 No. S1, pp. S50-S57.
  39. Zhang, B., Bi, J. and Liu, B. (2009), “Drivers and barriers to engage enterprises in environmental management initiatives in Suzhou Industrial Park, China”, Frontiers of Environmental Science & Engineering in China, Vol. 3 No. 2, pp. 210-220.
  40. Zhang, T.Z. (2000), “Policy mechanisms to promote cleaner production in China”, Journal of Environmental Science and Health, Vol. 35 No. 10 Part A, pp. 1989-1994.
  41. Zhu, Q. and Geng, Y. (2013), “Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers”, Journal of Cleaner Production, Vol. 40, pp. 6-12.