Hermann, R. R., Mosgaard, M. A., & Kerndrup, S. (2016). The function of intermediaries in
collaborative innovation processes: Retrofitting a Danish small island ferry with green technology. International Journal of Innovation and Sustainable Development, 10, 361.
Hughes, D. L., Rana, N. P., & Dwivedi, Y. K. (2019). Elucidation of IS project success factors: An
interpretive structural modelling approach. Annals of Operations Research, 285, 35–66.
Kerr, W. R., & Nanda, R. (2015). Financing innovation. Annual Review of Financial Economics, 7,
445–462.
Liao, W., & Wang, T. (2018). Promoting green and sustainability: A multi-objective optimization
method for the job-shop scheduling problem. Sustainability, 10(11), 4205.
Lin, C. Y., & Ho, Y. H. (2008). An empirical study on logistics service providers’ intention to adopt
green innovations. Journal of Technology Management & Innovation, 3(1), 17–26.
Madrid-Guijarro, A., Garcia, D., & Van Auken, H. (2009). Barriers to innovation among Spanish
manufacturing SMEs. Journal of Small Business Management, 47(4), 465–488.
Malek, J., & Desai, T. N. (2019). Interpretive structural modelling based analysis of sustainable
manufacturing enablers. Journal of Cleaner Production, 238, 117996.
Mangla, S. K., Govindan, K., & Luthra, S. (2017). Prioritizing the barriers to achieve sustainable
consumption and production trends in supply chains using fuzzy Analytical Hierarchy Process.
Journal of cleaner production, 151, 509–525.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil
Engineering, Belgrade, 2(1), 5–21.
Pawanchik, A., & Sulaiman, S. (2010). In search of InnovAsian: the Malaysian innovation climate
report 2010. Alpha Catalyst Consulting.
Perron, G. M. (2005). Barriers to environmental performance improvements in Canadian SMEs.
Canada: Dalhousie University.
Porter, M. E., & Van der Linde, C. (1995). Green and competitive: ending the stalemate. Harvard
Business Review, 73(5), 120–134.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57.
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear
model. Omega, 64, 126–130.
Rezaei, J., Nispeling, T., Sarkis, J., & Tavasszy, L. (2016). A supplier selection life cycle approach
integrating traditional and environmental criteria using the best worst method. Journal of
Cleaner Production, 135, 577–588.
Saunila, M., Ukko, J., & Rantala, T. (2018). Sustainability as a driver of green innovation
investment and exploitation. Journal of cleaner production, 179, 631–641.
Song, M., & Wang, S. (2018). Market competition, green technology progress and comparative
advantages in China. Management Decision, 56(1), 188–203.
Song, M., Peng, J., Wang, J., & Dong, L. (2018). Better resource management: An improved
resource and environmental efficiency evaluation approach that considers undesirable outputs.
Resources, Conservation and Recycling, 128, 197–205.
Tam, V. W., Tam, C. M., Shen, L. Y., Zeng, S. X., & Ho, C. M. (2006). Environmental performance
assessment: perceptions of project managers on the relationship between operational and
environmental performance indicators. Construction Management and Economics, 24(3),
287–299.
Walker, H., Di Sisto, L., & McBain, D. (2008). Drivers and barriers to environmental supply chain
management practices: Lessons from the public and private sectors. Journal of purchasing and
supply management, 14(1), 69–85.
Warfield, J. N. (1974). Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, (1), 81–87.
Xia, D., Zhang, M., Yu, Q., & Tu, Y. (2019). Developing a framework to identify barriers of Green
technology adoption for enterprises. Resources, Conservation and Recycling, 143, 99–110.
Zhao, H., Guo, S., & Zhao, H. (2018). Comprehensive benefit evaluation of eco-industrial parks by
employing the best-worst method based on circular economy and sustainability. Environment,
Development and Sustainability, 20(3), 1229–1253.
8 Evaluation of Manufacturing Organizations Ability to Overcome Internal Barriers. . .
159
collaborative innovation processes: Retrofitting a Danish small island ferry with green technology. International Journal of Innovation and Sustainable Development, 10, 361.
Hughes, D. L., Rana, N. P., & Dwivedi, Y. K. (2019). Elucidation of IS project success factors: An
interpretive structural modelling approach. Annals of Operations Research, 285, 35–66.
Kerr, W. R., & Nanda, R. (2015). Financing innovation. Annual Review of Financial Economics, 7,
445–462.
Liao, W., & Wang, T. (2018). Promoting green and sustainability: A multi-objective optimization
method for the job-shop scheduling problem. Sustainability, 10(11), 4205.
Lin, C. Y., & Ho, Y. H. (2008). An empirical study on logistics service providers’ intention to adopt
green innovations. Journal of Technology Management & Innovation, 3(1), 17–26.
Madrid-Guijarro, A., Garcia, D., & Van Auken, H. (2009). Barriers to innovation among Spanish
manufacturing SMEs. Journal of Small Business Management, 47(4), 465–488.
Malek, J., & Desai, T. N. (2019). Interpretive structural modelling based analysis of sustainable
manufacturing enablers. Journal of Cleaner Production, 238, 117996.
Mangla, S. K., Govindan, K., & Luthra, S. (2017). Prioritizing the barriers to achieve sustainable
consumption and production trends in supply chains using fuzzy Analytical Hierarchy Process.
Journal of cleaner production, 151, 509–525.
Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil
Engineering, Belgrade, 2(1), 5–21.
Pawanchik, A., & Sulaiman, S. (2010). In search of InnovAsian: the Malaysian innovation climate
report 2010. Alpha Catalyst Consulting.
Perron, G. M. (2005). Barriers to environmental performance improvements in Canadian SMEs.
Canada: Dalhousie University.
Porter, M. E., & Van der Linde, C. (1995). Green and competitive: ending the stalemate. Harvard
Business Review, 73(5), 120–134.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49–57.
Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear
model. Omega, 64, 126–130.
Rezaei, J., Nispeling, T., Sarkis, J., & Tavasszy, L. (2016). A supplier selection life cycle approach
integrating traditional and environmental criteria using the best worst method. Journal of
Cleaner Production, 135, 577–588.
Saunila, M., Ukko, J., & Rantala, T. (2018). Sustainability as a driver of green innovation
investment and exploitation. Journal of cleaner production, 179, 631–641.
Song, M., & Wang, S. (2018). Market competition, green technology progress and comparative
advantages in China. Management Decision, 56(1), 188–203.
Song, M., Peng, J., Wang, J., & Dong, L. (2018). Better resource management: An improved
resource and environmental efficiency evaluation approach that considers undesirable outputs.
Resources, Conservation and Recycling, 128, 197–205.
Tam, V. W., Tam, C. M., Shen, L. Y., Zeng, S. X., & Ho, C. M. (2006). Environmental performance
assessment: perceptions of project managers on the relationship between operational and
environmental performance indicators. Construction Management and Economics, 24(3),
287–299.
Walker, H., Di Sisto, L., & McBain, D. (2008). Drivers and barriers to environmental supply chain
management practices: Lessons from the public and private sectors. Journal of purchasing and
supply management, 14(1), 69–85.
Warfield, J. N. (1974). Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, (1), 81–87.
Xia, D., Zhang, M., Yu, Q., & Tu, Y. (2019). Developing a framework to identify barriers of Green
technology adoption for enterprises. Resources, Conservation and Recycling, 143, 99–110.
Zhao, H., Guo, S., & Zhao, H. (2018). Comprehensive benefit evaluation of eco-industrial parks by
employing the best-worst method based on circular economy and sustainability. Environment,
Development and Sustainability, 20(3), 1229–1253.
8 Evaluation of Manufacturing Organizations Ability to Overcome Internal Barriers. . .
159