Barriers affecting the green transformation process in healthcare organizations

References

• Mittal VK, Sangwan KS. Prioritizing barriers to green manufacturing: environmental, social and economic perspectives. Procedia Cirp. 2014;17:559–564.
   Google Scholar
• Maddock S, Morgan G. Barriers to transformation: beyond bureaucracy and the market conditions for collaboration in health and social care. Int J Publ Sect Manag. 1998;11(4):234–251.
   Google Scholar
• Sun Y, Tong L, Liu D. An empirical study of the measurement of spatial-temporal patterns and obstacles in the green development of northeast China. Sustainability. 2020;12(23):10190.
   Web of Science ®Google Scholar
• Chien F, Ngo QT, Hsu CC, et al. Assessing the mechanism of barriers towards green finance and public spending in small and medium enterprises from developed countries. Environ Sci Poll Res. 2021;28(43):60495–60510.
   PubMed Web of Science ®Google Scholar
• Xia D, Zhang M, Yu Q, et al. Developing a framework to identify barriers of green technology adoption for enterprises. Resour Conserv Recycl. 2019;143:99–110.
   Web of Science ®Google Scholar
• Abdullah M, Zailani S, Iranmanesh M, et al. Barriers to green innovation initiatives among manufacturers: the Malaysian case. Rev Manag Sci. 2016;10(4):683–709.
   Google Scholar
• Lay GC, Ahmad R, Ming BH. The barriers to adoption of green technology by higher education institutions in Malaysia. MOJEM: Malaysian Online J Educ Manag. 2017;1(3):23–34.
   Google Scholar
• Gohoungodji P, N’Dri AB, Latulippe JM, et al. What is stopping the automotive industry from going green? A systematic review of barriers to green innovation in the automotive industry. J Cleaner Prod. 2020;277:123524.
   Web of Science ®Google Scholar
• Chukwu VE. Potentials, drivers and barriers to green economy transition: implications for Africa. Adv. J. Plant Biol. 2020;1(1):7–17.
   Google Scholar
• Woolman T, Veshagh A. Designing support for manufacturing SMEs approaching ecodesign and cleaner production – learning from UK survey results. 13th CIRP conference on life cycle engineering, Leuven; 2006.
   Google Scholar
• Wihlborg M, Sörensen J, Olsson JA. Assessment of barriers and drivers for implementation of blue-green solutions in Swedish municipalities. J Environ Manag. 2019;233:706–718.
   PubMed Web of Science ®Google Scholar
• Mudgal RK, Shankar R, Talib P, et al. Modelling the barriers of green supply chain practices: an Indian perspective. Int J Logist Syst Manag . 2010;7(1):81–107.
   Google Scholar
• Shrivastava P. Environmental technologies and competitive advantage. Strateg Manage J. 1995;16(S1):183–200.
   Web of Science ®Google Scholar
• Hansson J, Backlund F, Lycke L. Managing commitment: increasing the odds for successful implementation of TQM. TPM or RCM. Int J Qual Reliabil Manag. 2003;20(9):993–1008.
   Google Scholar
• Saad GH, Siha S. Managing quality: critical links and a contingency model. Int J Oper Prod Manage. 2000;20(10):1146–1164.
   Web of Science ®Google Scholar
• Parente SL, Prescott EC. Barriers to technology adoption and development. J. Polit Econ. 1994;102(2):298–321.
   Web of Science ®Google Scholar
• Gupta H, Barua MK. A framework to overcome barriers to green innovation in SMEs using BWM and fuzzy TOPSIS. Sci Total Environ. 2018;633:122–139.
   PubMed Web of Science ®Google Scholar
• Song M, Wang S, Wu K. Environment-biased technological progress and industrial land-use efficiency in China’s new normal. Ann Oper Res. 2018;268(1):425–440.
   Web of Science ®Google Scholar
• Song M, Cui X, Wang S. Simulation of land green supply chain based on system dynamics and policy optimization. Int J Prod Econ. 2019;217:317–327.
   Web of Science ®Google Scholar
• Xia D, Chen B, Zheng Z. Relationships among circumstance pressure, green technology selection and firm performance. J Cleaner Prod. 2015;106:487–496.
   Web of Science ®Google Scholar
• Albrecht J. Environmental issue entrepreneurship: a Schumpeterian perspective. Futures. 2002;34(7):649–661.
   Web of Science ®Google Scholar
• Hong P, Youn S, Nahm A. Supply chain partnerships and supply chain integration: the mediating role of information quality and sharing. Int J Logist Syst Manag . 2008;4(4):437–456.
   Google Scholar
• Hall J. Environmental supply chain dynamics. J Cleaner Prod. 2000;8(6):455–471.
   Google Scholar
• Sarkis J. A strategic decision framework for green supply chain management. J Cleaner Prod. 2003;11(4):397–409.
   Web of Science ®Google Scholar
• Harris N, Pisa L, Talioaga S, et al. Hospitals going green: a holistic view of the issue and the critical role of the nurse leader. Holist Nurs Pract. 2009;23(2):101–111.
   PubMed Web of Science ®Google Scholar
• Koinis A, Giannou V, Drantaki V, et al. The impact of healthcare workers job environment on their mental-emotional health. coping strategies: the case of a local general hospital. Health Psychol Res. 2015;3(1).
   PubMedGoogle Scholar
• Charmaz K. Constructing grounded theory. Sage; 2014.
   Google Scholar
• Tashakkori A, Teddlie C. Quality of inferences in mixed methods research: calling for an integrative framework. Adv Mixed Meth Res. 2008;53(7):101–119.
   Google Scholar
• Rico JC, Oruezabala G. Green supply management in the healthcare public sector: stakes, practices, and perspectives. Int J Healthc Manag. 2012;5(3):154–163.
   Google Scholar
• Robson C. Real world research: a resource for social scientists and practitioner-researchers. Wiley-Blackwell; 2002.
   Google Scholar
• Thaler T, Attems MS, Bonnefond M, et al. Drivers and barriers of adaptation initiatives – how societal transformation affects natural hazard management and risk mitigation in Europe. Sci Total Environ. 2019;650:1073–1082.
   PubMed Web of Science ®Google Scholar
• Abuzeinab A, Arif M, Qadri MA. Barriers to MNEs green business models in the UK construction sector: an ISM analysis. J Cleaner Prod. 2017;160:27–37.
   Web of Science ®Google Scholar
• Bag S, Viktorovich DA, Sahu AK, et al. Barriers to adoption of blockchain technology in green supply chain management. J Glob Operat Stratg Sourc. 2020;14(1):104–133.
   Web of Science ®Google Scholar
• Biresselioglu ME, Nilsen M, Demir MH, et al. Examining the barriers and motivators affecting European decision-makers in the development of smart and green energy technologies. J Cleaner Prod. 2018;198:417–429.
   Web of Science ®Google Scholar
• Ullah S, Ahmad N, Khan FU, et al. Mapping interactions among green innovations barriers in manufacturing industry using hybrid methodology: insights from a developing country. Int J Environ Res Public Health. 2021;18(15):7885.
   PubMed Web of Science ®Google Scholar
• Kong T, Feng T, Ye C. Advanced manufacturing technologies and green innovation: The role of internal environmental collaboration. Sustainability. 2016;8(10):1056.
   Web of Science ®Google Scholar
• Wu GC. The influence of green supply chain integration and environmental uncertainty on green innovation in Taiwan’s IT industry. Suppl Chain Manag Int J. 2013;18(5):539–552.
   Web of Science ®Google Scholar
• Gluch P, Gustafsson M, Thuvander L. An absorptive capacity model for green innovation and performance in the construction industry. Constr Manag Econ. 2009;27(5):451–464.
   Google Scholar
• Muduli K, Govindan K, Barve A, et al. Barriers to green supply chain management in Indian mining industries: a graph theoretic approach. J Cleaner Prod. 2013;47:335–344.
   Web of Science ®Google Scholar
• Zhang X, Platten A, Shen L. Green property development practice in China: costs and barriers. Build Environ. 2011;46(11):2153–2160.
   Web of Science ®Google Scholar
• Wimala M, Akmalah E, Sururi MR. Breaking through the barriers to green building movement in Indonesia: insights from building occupants. Energ Proc. 2016;100:469–474.
   Google Scholar
• De Jesus A, Mendonça S. Lost in transition? drivers and barriers in the eco-innovation road to the circular economy. Ecol Econ. 2018;145:75–89.
   Web of Science ®Google Scholar
• Bai C, Satir A. Barriers for green supplier development programs in manufacturing industry. Resour Conserv Recycl. 2020;158:104756.
   Web of Science ®Google Scholar
• Warfield J. Extending interpretive structural modeling; April 1976.
   Google Scholar
• Singh MD, Kant R. Knowledge management barriers: an interpretive structural modeling approach. Int J Manag Sci Eng Manag. 2008;3(2):141–150.
   Google Scholar
• Attri R, Dev N, Sharma V. Interpretive structural modelling (ISM) approach: an overview. Res J Manag Sci. 2013;2319(2):1171.
   Google Scholar
• Sushil S. Interpreting the interpretive structural model. Glob J Flex Sys Manag. 2012;13(2):87–106.
   Google Scholar
• Vaishnavi V, Suresh M, Dutta P. A study on the influence of factors associated with organizational readiness for change in healthcare organizations using TISM. Benchmarking Int J. 2019;26(4):1290–1313.
   Web of Science ®Google Scholar
• Vaishnavi V, Suresh M, Dutta P. Modelling the readiness factors for agility in healthcare organization: a TISM approach. Benchmarking Int J. 2019;26(7):2372–2400.
   Web of Science ®Google Scholar
• Warfield JN. Societal systems planning, policy and complexity. Cybernet Sys. 1978;8(1):113–115.
   Google Scholar
• Yadav N. Total interpretive structural modelling (TISM) of strategic performance management for Indian telecom service providers. Int J Prod Perform Manag. 2014;63(4):421–445.
   Google Scholar
• Jena J, Sidharth S, Thakur LS, et al. Total interpretive structural modeling (TISM): approach and application. J Adv Manag Res. 2017;14(2):162–181.
   Web of Science ®Google Scholar
• Patil M, Suresh M. Modelling the enablers of workforce agility in IoT projects: a TISM approach. Glob J Flex Sys Manag. 2019;20(2):157–175.
   Google Scholar
• Menon S, Suresh M. Total interpretive structural modelling: evolution and applications). International conference on innovative data communication technologies and application. Cham: Springer; 2019. p. 257–265.
   Google Scholar
• Suresh M, Nathan RA. Readiness for lean procurement in construction projects. Constr Innov. 2020;20(4):587–608.
   Web of Science ®Google Scholar
• Menon S, Suresh M. Modelling the enablers of sustainability in higher education institutions. J Mod Manage. 2021;17(2):405–439.
   Google Scholar
• Lakshmi Priyadarsini S, Suresh M. Factors influencing the epidemiological characteristics of pandemic COVID 19: a TISM approach. Int J Healthc Manag. 2020;13(2):89-98.
   Web of Science ®Google Scholar
• Josyula SS, Suresh M, Raman RR. How to make intelligent automation projects agile? Identification of success factors and an assessment approach. Int J Org Anal. 2021.
   Web of Science ®Google Scholar
• Ramiya S, Suresh M. Factors influencing lean-sustainable maintenance using TISM approach. Int J Syst Assur Eng Manag. 2021;12(6):1117–1131.
   Web of Science ®Google Scholar
• Chillayil J, Suresh M, Viswanathan PK, et al. Is imperfect evaluation a deterrent to adoption of energy audit recommendations? Int J Produc Perform Manag. 2021;71(4):1385–1406.
   Web of Science ®Google Scholar
• Sreenivasan A, Suresh M. Modeling the enablers of sourcing risks faced by startups in COVID-19 era. J Glob Operat Strat Sourc. 2021;15(2):151–171.
   Web of Science ®Google Scholar
• Suresh M, Ganesh S, Raman R. Modelling the factors of agility of humanitarian operations. Int J Agile Syst Manage . 2019;12(2):108–123.
   Google Scholar
• Suresh M, Mahadevan G, Abhishek R. Modelling the factors influencing the service quality in supermarkets. Int J Syst Assur Eng Manag. 2019;10(6):1474–1486.
   Web of Science ®Google Scholar
• Whetten DA. What constitutes a theoretical contribution? Acad Manage Rev. 1989;14(4):490–495.
   Web of Science ®Google Scholar
• Sindhwani R, Singh PL, Iqbal A, Prajapati DK, Mittal VK. Modeling and analysis of factors influencing agility in healthcare organizations: an ISM approach. In Advances in industrial and production engineering. Singapore: Springer; 2019. p. 683–696.
   Google Scholar