Understanding the factors influencing individuals’ intention to buy second-hand clothing: A Mauritius perspective
Shelley Tyne Tyne Tang Fat Sang ORCID ↗ · Xue Bing Peng
International Journal of Research in Business and Social Science · 2025 · Vol. 14 / Issue 2 · 27-45
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 07:22 UTC
Observed 21 Oct 2026 07:23 UTC
Observed 21 Oct 2026 23:02 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
Individuals are becoming more aware of the negative effects of the rapid fashion industry and are shifting to second-hand clothes. Due to its potential to minimize clothing waste, purchasing second-hand garments is reflected as environmentally friendly. Using an online questionnaire survey, this research examines the factors influencing consumers’ purchasing intention of second-hand clothing via the mediation of individualism and product attitude by applying the Statistical Package for the Social Sciences (SPSS) 25.0 and the Analysis of Moment Structures (AMOS) 25.0 to analyze the data collected information. The proposed models are expanded by additional construct factors to evaluate their influence on purchase intention. The results indicate that online second-hand clothing purchase intention (PI) is partially explained by the theory of planned behavior (TPB) with product attitude (PA) and individualism (IN). Among the additional factors encompassed, consumer perceived value (CPV) and consumer perceived risk (CPR) negatively impacted the consumer’s intention to buy second-hand clothing. Additionally, this study validates the effectiveness of the integrated model of TPB in interpreting customers’ buying intentions for second-hand clothing. This study also yielded theoretical and managerial implications, as well as proposals for further research.
Keywords: {'name': 'Second-hand clothing'}, {'name': 'Influencing factors'}, {'name': 'Purchase intention'}, {'name': 'Mauritius'}
Authors & affiliations
Shelley Tyne Tyne Tang Fat Sang
Affiliation not supplied
Xue Bing Peng
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
DOI: 10.1016/0749-5978(91)90020-T
DOI: 10.1002/hbe2.195
Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracin, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 173–221). Mahwah, NJ: Erlbaum.
DOI: 10.1037//0033-2909.103.3.411
DOI: 10.1080/15487733.2024.2381871
DOI: 10.21201/2005.112464
Bauer, R. A. (1967). Consumer behavior as risk-taking. In Marketing: Critical perspectives on business and management (Vol. 593, pp. 13–21).
Benebru, N. (2017). Influence of advertisement on consumer purchase intention: The case of Addis Ababa beer market.
Brooks, A. (2019). Clothing poverty: The hidden world of fast fashion and second-hand clothes. Bloomsbury Publishing.
DOI: 10.1108/IJRDM-10-2016-0176
Cherry, K. (2023). The components of attitude. Verywell Mind. https://www.verywellmind.com/attitudes-how-they-form-change-shape-behavior-2795897
DOI: 10.5850/JKSCT.2013.37.4.618
DOI: 10.1177/002224376400100405
Curtis, K. R. (2008). Conducting market research using primary data. Western Extension Marketing Committee, 1–10. Available at: http://valueaddedag.org/nichemarkets/07conductingmarketresearch.pdf
DOI: 10.1016/j.spc.2019.02.009
Dutta, S., Lanvin, B., León, L. R., & Wunsch-Vincent, S. (Eds.). (2021). Global innovation index 2021: Tracking innovation through the COVID-19 crisis. WIPO.
DOI: 10.1002/mar.21334
FIBRE2FASHION. (2024). Mauritius’s textile industry: Challenges and export opportunities. FIBRE2FASHION. https://www.fibre2fashion.com/industry-article/3587/mauritius-textile
DOI: 10.4324/9780203838020
Gabriella, G., Smith, J. A., & Thompson, L. R. (2021). Using convenience sampling in consumer behavior research: A methodological overview. Journal of Consumer Studies, 45(2), 123–140.
Geertz, C. (1973). The interpretation of cultures (Vol. 5019). Basic Books.
DOI: 10.1086/209388
Han, K. M., & Na, Y. J. (2004). Preferred sensation of adolescents according to their lifestyle and individualism/collectivism. Fashion & Textile Research Journal, 6(1), 51–60. https://doi.org/10.5805/SFTI.2004.6.1.51
DOI: 10.33736/ijbs.3270.2020
DOI: 10.1016/0090-2616(80)90013-3
DOI: 10.1016/0092-6566(88)90022-0
DOI: 10.1016/j.jclepro.2020.122951
DOI: 10.1016/j.ijhm.2020.102464
DOI: 10.1111/ijcs.12013
DOI: 10.1108/RJTA-12-2018-0063
Kim, C. J. (1991). Risk perceived by consumers in apparel buying situation (I): Risk types and their relationships with consumers' demographic variables. Journal of the Korean Society of Clothing and Textiles, 15(4), 405–416.
DOI: 10.3390/su13031208
DOI: 10.1108/RJTA-12-2020-0139
DOI: 10.1016/j.jbusres.2015.05.017
DOI: 10.1108/IJRDM-10-2021-0470
DOI: 10.1108/JPBM-11-2021-3721
DOI: 10.1386/cc.5.2.247_1
DOI: 10.1186/s40691-018-0139-z
Lee, C., & Jung, D. R. (1994). A comparative cultural study on the purchase decision-making of Korean-Arab consumer: Fishbein Behavioral Intention Model. Korean Soc. Consum. Stud, 5, 115–133.
DOI: 10.1111/ijcs.12393
DOI: 10.1016/S1567-4223(03)00025-5
DOI: 10.1108/JFMM-07-2018-0099
Markus, H. R., & Kitayama, S. (2014). Culture and the self: Implications for cognition, emotion, and motivation. In College student development and academic life (pp. 264–293). Routledge.
DOI: 10.1016/B978-008045089-6.50020-4
DOI: 10.7176/JESD
DOI: 10.1177/0040517520944524
DOI: 10.5805/SFTI.2015.17.2.216
Park, H. S., & Kim, H. S. (1998). A study on the dimensions of clothing attitudes. Journal of the Korean Society of Clothing and Textiles, 22, 279–289.
DOI: 10.1177/0047287516675062
DOI: 10.5805/SFTI.2014.16.1.91
DOI: 10.1016/j.jclepro.2020.123882
Rodrigues, P., Almeida, F., & Santos, L. (2023). Demographic diversity and its implications in consumer behavior studies: A review of sampling strategies. Journal of Marketing Research, 60(1), 89–102.
DOI: 10.1177/1469540519891274
DOI: 10.1080/13683500.2020.1829571
Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students (5th ed.). Essex, England: Pearson Education. Available at: http://books.google.com/books?id=u-txtfaCFiEC
DOI: 10.1080/09652540600956426
DOI: 10.1016/0148-2963(91)90050-8
DOI: 10.1086/208894
DOI: 10.1108/JPBM-06-2015-0894
DOI: 10.1177/002224379803500209
DOI: 10.1111/j.1559-1816.1995.tb02636.x
DOI: 10.1177/00405175231175057
DOI: 10.1016/S0272-4944(05)80168-9
ThredUp & Global Data. (2023). Resale Report. Retrieved from https://cf-assets-tup.thredup.com/resale_report/2023/thredUP_2023_Resale_Report_FINAL.pdf
DOI: 10.1108/JPBM-05-2014-0603
DOI: 10.4324/9780203207833
DOI: 10.1086/209243
DOI: 10.1016/j.ausmj.2010.11.001
DOI: 10.1111/ijcs.12139
DOI: 10.1108/YC-02-2014-00429
Yoon, W. A., & Kim, K. O. (2000). A scale development in the propensity of collectivism-individualism among Korean consumers. Journal of Consumer Studies, 11(3), 1–14.
DOI: 10.3390/su11041034
DOI: 10.1177/002224298805200302
DOI: 10.1016/j.jclepro.2020.123184