ABSTRACT
The study aimed to determine the factors that influenced millennial consumers toward purchase sustainable products in the fashion industry especially in fast fashion firms in Kuala Lumpur, Malaysia. A quantitative research approach was used in this study to collect numerical data to explain a specific occurrence. Furthermore, this study was considered as cross-sectional study and conducted between May to July 2018. A survey research strategy was conducted through the questionnaires. The questionnaires were distributed online through the internet such as social media and online fashion communities and distributed physically throughout the university premises (UCSI University). The target population were millennial consumers of fashion clothing in Kuala Lumpur, Malaysia, who were born between years 1980 to 2000. The millennial consumers age ranged between 18 years old and 38 years old. The sample sizes were 384 respondents and selected by probability sampling method. Primary data was collected through self-administered questionnaires and distributed personally to targeted respondents through internet. In this study, the secondary data was gathered from printed and online articles and journals from online databases. The data was accumulated and analysed with SPSS program. The study had showed significant relationships between the variables such that green purchase behaviour was correlated with environmental concern, green purchase behaviour was correlated with subjective norms and finally green purchase behaviour was correlated with price-sensitivity.
- Joung, H. M. 2014. Fast-fashion consumers' post-purchase behaviours. International Journal of Retail & Distribution Management, 42, 8, 688--697. doi:https://doi.org/10.1108/IJRDM-03-2013-0055Google ScholarCross Ref
- Cham, T. H., Ng, C. K., Lim, Y. M. and Cheng, B. L. 2017. Factors influencing clothing interest and purchase intention: a study of Generation Y consumers in Malaysia. The International Review of Retail, Distribution and Consumer Research. doi:https://doi.org/10.1080/09593969.2017.1397045Google Scholar
- Maslow, A. H. 1987. Motivation and Personality (3rd ed.). New York, USA: Harper & Row.Google Scholar
- Choi, T. M., Liu, N., Liu, S. C., Mak, J. and To, Y. T. 2010. Fast fashion brand extensions: An empirical study of consumer preferences. Journal of Brand Management, 17, 7, 472--487. doi:https://doi.org/10.1057/bm.2010.8Google ScholarCross Ref
- Shen, B., Wang, Y., Lo, C. K. and Shum, M. 2012. The impact of ethical fashion on consumer purchase behavior. Journal of Fashion Marketing and Management: An International Journal, 16, 2, 234--245. doi:https://doi.org/10.1108/13612021211222842Google Scholar
- Moon, K. K.L., Lai, C. S. Y., Lam, E. Y. N. and Chang, J. M. 2014). Popularization of sustainable fashion: barriers and solutions. The Journal of The Textile Institute, 106, 9, 939--952. doi:https://doi.org/10.1080/00405000.2014.955293Google ScholarCross Ref
- Kong, H. M., & Ko, E. 2017. Why do consumers choose sustainable fashion? A cross-cultural study of South Korean, Chinese, and Japanese consumers. Journal of Global Fashion Marketing, 8,3, 220--234. doi:https://doi.org/10.1080/20932685.2017.1336458Google ScholarCross Ref
- Connell, K. H., & Kozar, J. M. 2014. Environmentally Sustainable Clothing Consumption: Knowledge, Attitudes, and Behavior. Roadmap to Sustainable Textiles and Clothing, 41--61. doi:https://doi.org/10.1007/978-981-287-110-7_2Google Scholar
- O'Cass, A. 2004. Fashion clothing consumption: antecedents and consequences of fashion clothing involvement. European Journal of Marketing, 38, 7,869--882. doi:doi: 10.1108/03090560410539294Google ScholarCross Ref
- Kim, J., Taylor, C. R., Kim, K. H. and Lee, K. H. 2015. Measures of perceived sustainability. Journal of Global Scholars of Marketing Science, 25, 2, 182--193. doi:https://doi.org/10.1080/21639159.2015.1015473Google ScholarCross Ref
- Moon, K. K. L., Lai, C. S. Y., Lam, E. Y.N. and Chang, J. M. 2014. Popularization of sustainable fashion: barriers and solutions. The Journal of The Textile Institute, 106, 9, 939--952. doi:https://doi.org/10.1080/00405000.2014.955293Google ScholarCross Ref
- Moon, K. K.-L., Youn, C., Chang, J. M., & Yeung, A. W.-h. 2013. Product design scenarios for energy saving: A case study of fashion apparel. International Journal of Production Economics, 146, 2, 392--101.Google ScholarCross Ref
- McKay, L. 2010. Generation Green: Why Gen Y and the Millennials are greener than you'll ever be. Customer Relationship Managment Magazine, 14, 4, 12.Google Scholar
- Smith, K. T., & Brower, T. R. 2012. Longitudinal study of green marketing strategies that influence Millennials. Journal of Strategic Marketing, 20, 6, 535--551.Google ScholarCross Ref
- Smith, K. T. 2010. An examination of marketing techniques that influence Millennials' perceptions of whether a product is environmentally friendly. Journal of Strategic Marketing, 18, 6, 437--450.Google ScholarCross Ref
- Furlow, N. E. and Knott, C. 2009. Who's Reading the Label? Millennials' Use of Environmental Product Labels. Journal of Applied Business & Economics, 10, 3, 1--13.Google Scholar
- Ooi, K. B., & Tan, G. W. H. (2016). Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card. Expert Systems with Applications, 59, 33--46.Google ScholarDigital Library
- Tan, G. W. H., Ooi, K. B., Leong, L. Y., & Lin, B. (2014). Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach. Computers in Human Behavior, 36, 198--213.Google ScholarDigital Library
- Tan, G. W. H., & Ooi, K. B. (2018). Gender and age: Do they really moderate mobile tourism shopping behavior?. Telematics and Informatics, 35(6), 1617--1642.Google ScholarCross Ref
- Wong, C. H., Tan, G. W. H., Tan, B. I., & Ooi, K. B. (2015). Mobile advertising: the changing landscape of the advertising industry. Telematics and Informatics, 32(4), 720--734Google ScholarDigital Library
- Braga Junior, S. S., da Silva, D., Gabriel, M. L., and de Oliveira Braga, W. R. 2015. The Effects of Environmental Concern on Purchase of Green Products in Retail. Social and Behavioral Sciences,170, 99--108.Google Scholar
- Braga Junior, S. S., & da Silva, D. 2013. A Relação da Preocupação Ambiental com Compra Declarada para Produtos Verdes no Varejo: Uma Comparação da Percepção do Individuo com sua Percepção de Sociedade. Perspectivas em Gestão & Conhecimento, 3,2, 161--176.Google Scholar
- Awad, T. A. 2011. Environmental segmentation alternatives: Buyers' profiles and implications. Journal of Islamic Marketing, 2, 1, 55--73.Google ScholarCross Ref
- Tang, Y., Wang, X. and Lu, P. 2014. Chinese consumer attitude and purchase intent towards green products. Asia-Pacific Journal of Business Administration, 6, 2, 84--96.Google ScholarCross Ref
- Lee, K. 2010. The Green Purchase Behavior of Hong Kong Young Consumers: The Role of Peer Influence, Local Environmental Involvement, and Concrete Environmental Knowledge. Journal of International Consumer Marketing, 21--44.Google ScholarCross Ref
- Dotson, M. J. and Hyatt, E. M. 2000. A comparison of parents' and children's knowledge of brands and advertising slogans in the United States: implications for consumer socialization. Journal of Marketing Communications, 6, 4, 219--230.Google ScholarCross Ref
- Ajzen, I. and Fishbein, M. 1980. Understanding attitudes and predicting social Behaviour. Englewood Cliffs, N.J: Prentice-Hall.Google Scholar
- Karatu, V. M. and Nik-Mat, N. K. 2015. Determinants of green purchase intention in Nigeria: The mediating role of green perceived value. International Conference on Accounting Studies (ICAS).Google Scholar
Index Terms
- Factors Influencing the Purchase Behaviour of Sustainable Fashion among Millennial Consumers in Kuala Lumpur
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