References
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/https://doi.org/10.1016/0749-5978(91)90020-T
- Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411. https://doi.org/https://doi.org/10.1037/0033-2909.103.3.411
- Armitage, C. J., & Conner, M. (1999). The theory of planned behaviour: Assessment of predictive validity and perceived control. British Journal of Social Psychology, 38(1), 35–54. https://doi.org/https://doi.org/10.1348/014466699164022
- Arvola, A., Vassallo, M., Dean, M., Lampila, P., Saba, A., Lähteenmäki, L., & Shepherd, R. (2008). Predicting intentions to purchase organic food: The role of affective and moral attitudes in the Theory of Planned Behaviour. Appetite, 50(2–3), 443–454. https://doi.org/https://doi.org/10.1016/j.appet.2007.09.010
- Bamberg, S. (2003). How does environmental concern influence specific environmentally related behaviours? A new answer to an old question. Journal of Environmental Psychology, 23(1), 21–32. https://doi.org/https://doi.org/10.1016/S0272-4944(02)00078-6
- Berger, I. E., & Corbin, R. M. (1992). Perceived consumer effectiveness and faith in others as moderators of environmentally responsible behaviors. Journal of Public Policy & Marketing, 11(2), 79–89. https://doi.org/https://doi.org/10.1177/074391569201100208
- Caperello, N., & Kurani, K. (2011). Households’ stories of their encounters with a plug-in hybrid electric vehicle. Environment and Behavior, 44(4), 493–508. https://doi.org/https://doi.org/10.1177/0013916511402057
- Central Pollution Control Board. (2019). Annual Report 2018–2019. https://cpcb.nic.in/openpdffile.php?id=UmVwb3J0RmlsZXMvMTExOV8xNTk3MDM3NTM0X21lZGlhcGhvdG8xOTY1Ni5wZGY=
- Chan, R. Y., & Lau, L. B. (2000). Antecedents of green purchases: A survey in China. Journal of Consumer Marketing, 17(4), 338–357. https://doi.org/https://doi.org/10.1108/07363760010335358
- Chaudhary, R., & Bisai, S. (2018). Factors influencing green purchase behavior of millennials in India. Management of Environmental Quality: An International Journal, 29(5), 798–812. https://doi.org/https://doi.org/10.1108/MEQ-02-2018-0023
- Chen, M. F., & Tung, P. J. (2014). Developing an extended theory of planned behavior model to predict consumers’ intention to visit green hotels. International Journal of Hospitality Management, 36, 221–230. https://doi.org/https://doi.org/10.1016/j.ijhm.2013.09.006
- Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
- Chiu, C. M., & Wang, E. T. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information & Management, 45(3), 194–201. https://doi.org/https://doi.org/10.1016/j.im.2008.02.003
- CII-AT Kearney Report. (2019). CII India retail submit 2019: Building towards sustainable retail. CII Confederation of Indian Industry.
- De Winter, A. F., Oldehinkel, A. J., Veenstra, R., Brunnekreef, J. A., Verhulst, F. C., & Ormel, J. (2005). Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents. European Journal of Epidemiology, 20(2), 173–181. https://doi.org/https://doi.org/10.1007/s10654-004-4948-6
- Diamantopoulos, A., Schlegelmilch, B. B., Sinkovics, R. R., & Bohlen, G. M. (2003). Can socio-demographics still play a role in profiling green consumers? Journal of Business Research, 56(6), 465–480. https://doi.org/https://doi.org/10.1016/S0148-2963(01)00241-7
- DuPont Green Living Survey. (2014). Dupont Indian consumer study: India’s confidence in green & biobased products is highest in global index. http://www.dupont.co.in/corporate-functions/media/press-releases/Green-living-India-press-release.html
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/https://doi.org/10.1177/002224378101800104
- Hair Jr, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 23(2), 106–121. https://doi.org/https://doi.org/10.1108/EBR-10-2013-0128
- Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vols. 5, No. 3). Prentice hall.
- Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1–2), 1–12. https://doi.org/https://doi.org/10.1016/j.lrp.2013.01.001
- Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/https://doi.org/10.2753/MTP1069-6679190202
- Hair, J., Anderson, R., Tatham, R., & Black, W. (2006). Multivariate data analysis 6th edition prentice hall. Prentice Hall, NJ.
- Higueras-Castillo, E., Liébana-Cabanillas, F. J., Muñoz-Leiva, F., & García-Maroto, I. (2019). Evaluating consumer attitudes toward electromobility and the moderating effect of perceived consumer effectiveness. Journal of Retailing and Consumer Services, 51, 387–398. https://doi.org/https://doi.org/10.1016/j.jretconser.2019.07.006
- Jaiswal, D., & Kant, R. (2018). Green purchasing behaviour: A conceptual framework and empirical investigation of Indian consumers. Journal of Retailing and Consumer Services, 41, 60–69. https://doi.org/https://doi.org/10.1016/j.jretconser.2017.11.008
- Jang, J., Ko, E., Chun, E., & Lee, E. (2012). A study of a social content model for sustainable development in the fast fashion industry. Journal of Global Fashion Marketing, 3(2), 61–70. https://doi.org/https://doi.org/10.1080/20932685.2012.10593108
- Kim, Y., & Choi, S. M. (2005). Antecedents of green purchase behavior: An examination of collectivism, environmental concern, and PCE. ACR North American Advances, 32, 592-599. http://www.acrwebsite.org/volumes/9156/volumes/v32/NA-32.
- Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546–580. https://doi.org/https://doi.org/10.17705/1jais.00302
- Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (IJEC), 11(4), 1–10. https://doi.org/https://doi.org/10.4018/ijec.2015100101.
- Kollmuss, A., & Agyeman, J. (2002). Mind the Gap: Why do people act environmentally and what are the barriers to pro-environmental behavior? Environmental Education Research, 8(3), 239–260. https://doi.org/https://doi.org/10.1080/13504620220145401
- Kong, H. M., Witmaier, A., & Ko, E. (2021). Sustainability and social media communication: How consumers respond to marketing efforts of luxury and non-luxury fashion brands. Journal of Business Research, 131, 640–651. https://doi.org/https://doi.org/10.1016/j.jbusres.2020.08.021
- Kumar, B., Manrai, A. K., & Manrai, L. A. (2017). Purchasing behaviour for environmentally sustainable products: A conceptual framework and empirical study. Journal of Retailing and Consumer Services, 34, 1–9. https://doi.org/https://doi.org/10.1016/j.jretconser.2016.09.004
- Lavrakas, P. J. (2008). Encyclopedia of survey research methods. Sage publications.
- Lindner, J. R., Murphy, T. H., & Briers, G. E. (2001). Handling nonresponse in social science research. Journal of Agricultural Education, 42(4), 43–53. https://doi.org/https://doi.org/10.5032/jae.2001.04043
- Manchiraju, S., & Sadachar, A. (2014). Personal values and ethical fashion consumption. Journal of Fashion Marketing and Management, 18(3), 357–374. https://doi.org/https://doi.org/10.1108/JFMM-02-2013-0013
- Mostafa, M. M. (2006). Antecedents of Egyptian consumers’ green purchase intentions: A hierarchical multivariate regression model. Journal of International Consumer Marketing, 19(2), 97–126. https://doi.org/https://doi.org/10.1300/J046v19n02_06
- Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory 3E. McGraw-Hill.
- Paul, J., Modi, A., & Patel, J. (2016). Predicting green product consumption using theory of planned behavior and reasoned action. Journal of Retailing and Consumer Services, 29, 123–134. https://doi.org/https://doi.org/10.1016/j.jretconser.2015.11.006
- Puspita, H., & Chae, H. (2021). An explorative study and comparison between companies’ and customers’ perspectives in the sustainable fashion industry. Journal of Global Fashion Marketing, 12(2), 133–145. https://doi.org/https://doi.org/10.1080/20932685.2020.1853584
- Roozen, I., Raedts, M., & Meijburg, L. (2021). Do verbal and visual nudges influence consumers’ choice for sustainable fashion? Journal of Global Fashion Marketing, 12(4), 327–342. https://doi.org/https://doi.org/10.1080/20932685.2021.1930096
- Ru, X., Qin, H., & Wang, S. (2019). Young people’s behaviour intentions towards reducing PM2. 5 in China: Extending the theory of planned behaviour. Resources, Conservation and Recycling, 141, 99–108. https://doi.org/https://doi.org/10.1016/j.resconrec.2018.10.019
- Saricam, C., & Okur, N. (2019). Analysing the consumer behavior regarding sustainable fashion using theory of planned behavior. In S. Muthu (Eds.), Consumer Behaviour and Sustainable Fashion Consumption. Textile Science and Clothing Technology. Singapore: Springer. https://doi.org/https://doi.org/10.1007/978-981-13-1265-6-1.
- Seligman, C., Kriss, M., Darley, J. M., Fazio, R. H., Becker, L. J., & Pryor, J. B. (1979). Predicting summer energy consumption from home-Owners’ attitudes’. Journal of Applied Social Psychology, 9(1), 70–90. https://doi.org/https://doi.org/10.1111/j.1559-1816.1979.tb00795.x
- Shalender, K., & Sharma, N. (2020). Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India. Environment, Development and Sustainability 23(1), 665–681. https://doi.org/https://doi.org/10.1007/s10668-020-00602-7.
- Shukla, S. (2019). A study on millennial purchase intention of green products in India: Applying extended theory of planned behavior model. Journal of Asia-Pacific Business, 20(4), 322–350. https://doi.org/https://doi.org/10.1080/10599231.2019.1684171
- Stanley, M. (2017, March 17). India’s millennials to recast economy in own tech savvy image. https://www.morganstanley.com/ideas/India-millennials-makeover-disruption-growth
- Statista. (2020, November 23). Share in world exports of the leading clothing exporters 2019, by country. https://www.statista.com/statistics/1094515/share-of-the-leading-global-textile-clothing-by-country/
- Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International Journal of Research in Marketing, 12(2), 137–155. https://doi.org/https://doi.org/10.1016/0167-8116(94)00019-K
- Tyagi, N. (2020). Textile Industry in India - Garment & Apparels Market in . . . Invest India. https://www.investindia.gov.in/sector/textiles-apparel
- U.S. Census. (2015). Millennials outnumber baby boomers and are far more diverse. https://www.census.gov/newsroom/press-releases/2015/cb15-113.html
- Wan, C., Shen, G. Q., & Yu, A. (2014). The moderating effect of perceived policy effectiveness on recycling intention. Journal of Environmental Psychology, 37, 55–60. https://doi.org/https://doi.org/10.1016/j.jenvp.2013.11.006
- Wang, P., Liu, Q., & Qi, Y. (2014). Factors influencing sustainable consumption behaviors: A survey of the rural residents in China. Journal of Cleaner Production, 63, 152–165. https://doi.org/https://doi.org/10.1016/j.jclepro.2013.05.007
- Wang, S., Fan, J., Zhao, D., Yang, S., & Fu, Y. (2016). Predicting consumers’ intention to adopt hybrid electric vehicles: Using an extended version of the theory of planned behavior model. Transportation, 43(1), 123–143. https://doi.org/https://doi.org/10.1007/s11116-014-9567-9
- Yadav, R., & Pathak, G. S. (2017). Determinants of consumers’ green purchase behavior in a developing Nation: Applying and extending the theory of planned behavior. Ecological Economics, 134(C), 114–122. https://doi.org/https://doi.org/10.1016/j.ecolecon.2016.12.019
- Yadav, R., & Pathak, G. S. (2016). Young consumers’ intention towards buying green products in a developing nation: Extending the theory of planned behavior. Journal of Cleaner Production, 135, 732–739. https://doi.org/https://doi.org/10.1016/j.jclepro.2016.06.120
- Youth in India Report. (2017). Youth in India 2017 Government of India. http://mospi.nic.in/sites/default/files/publication_reports/Youth_in_India-2017.pdf
- Zhang, L., Fan, Y., Zhang, W., & Zhang, S. (2019). Extending the theory of planned behavior to explain the effects of cognitive factors across different kinds of green products. Sustainability, 11(15), 4222. https://doi.org/https://doi.org/10.3390/su11154222