Thrift Business Network Analysis at Happy Thrift Stuff
DOI:
https://doi.org/10.55208/1wteqd78Keywords:
Business Networking, Thrift Business, Business Network AnalysisAbstract
This study aims to comprehend and examine the functioning of the thrift business network at Happythrifstuff. The data collection methods utilized in this study encompass interviews and documentation. The research methodology is a descriptive qualitative approach, which entails collecting, organizing, and presenting data obtained during the study to achieve precise and thorough information. The data suggest that the thrift business network at Happythrifstuff acquires items from Bandung (Gede Bage), which are obtained from distributors in Batam (Sumatra), with the leading suppliers in Korea and Japan. The analysis indicates that the thrift company is well-suited for students or individuals who want to establish an enterprise with relatively small cash and the potential for profitable earnings. This is apparent from the original capital expenditure of 40 goods amounting to Rp. 5,740,000, resulting in Rp profit revenue. 1,148,000 from the sale of 40 products. This essay aims to inspire individuals to engage in the second-hand goods industry, to create cash, and to assist in fulfilling everyday necessities.
References
Ben Rjab, A., & Mellouli, S. (2019). Artificial Intelligence in Smart Cities. Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance, 259–269. https://doi.org/10.1145/3326365.3326400
Dliyaul Haq, M. (2023). How Digital Thrift Shops Escalate Global Supply Chain Sustainability in Indonesia. Journal of Social Science and Business Studies, 1(1), 6–14. https://doi.org/10.61487/jssbs.v1i1.7
Florencio de Souza, F., Bigarelli Ferreira, M., Valélia Saraceni, A., Mendes Betim, L., Lucas Pereira, T., Petter, R. R. H., Negri Pagani, R., Mauricio Martins de Resende, L., Pontes, J., & Moro Piekarski, C. (2020). Temporal Comparative Analysis of Industrial Symbiosis in a Business Network: Opportunities of Circular Economy. Sustainability, 12(5), 1832. https://doi.org/10.3390/su12051832
Hellström, D., & Olsson, J. (2024). Let’s go thrift shopping: Exploring circular business model innovation in fashion retail. Technological Forecasting and Social Change, 198, 123000. https://doi.org/10.1016/j.techfore.2023.123000
Hochtritt, L. (2019). Art Educators’ Thrift Shopping Practices as Social Action. Studies in Art Education, 60(4), 303–316. https://doi.org/10.1080/00393541.2019.1665418
Kaar, C., & Stary, C. (2019). Intelligent business transformation through market‐specific value network analysis: Structured interventions and process bootstrapping in geomarketing. Knowledge and Process Management, 26(2), 163–181. https://doi.org/10.1002/kpm.1587
Kim, S., & Woo, H. (2022). Big data analysis of trends in the second-hand apparel market: a comparison between 2014 and 2019. Research Journal of Textile and Apparel, 26(2), 138–155. https://doi.org/10.1108/RJTA-12-2020-0139
Klimanov, D., & Tretyak, O. (2019). Linking business model research and marketing: new network-based approach to business model analysis. Journal of Business & Industrial Marketing, 34(1), 117–136. https://doi.org/10.1108/JBIM-12-2017-0330
Niu, F. A. L., Jan, R. H., Tabe, R., & Songkaton, Y. (2023). Online Thrift Shop Phenomenon as a Business Opportunity for Young Entrepreneurs in Manado City: A Multicultural Perspective. Kawanua International Journal of Multicultural Studies, 4(2), 118–130. https://doi.org/10.30984/kijms.v4i2.687
Park, H., Kwon, T. A., Zaman, M. M., & Song, S. Y. (2020). Thrift shopping for clothes: To treat self or others? Journal of Global Fashion Marketing, 11(1), 56–70. https://doi.org/10.1080/20932685.2019.1684831
Restrepo, N., Lozano, S., & Anton Clavé, S. (2021). Measuring institutional thickness in tourism: An empirical application based on social network analysis. Tourism Management Perspectives, 37, 100770. https://doi.org/10.1016/j.tmp.2020.100770
Schroeder, A., Ziaee Bigdeli, A., Galera Zarco, C., & Baines, T. (2019). Capturing the benefits of industry 4.0: a business network perspective. Production Planning & Control, 30(16), 1305–1321. https://doi.org/10.1080/09537287.2019.1612111
Skinner, E. A., Le Busque, B., Dorrian, J., & Litchfield, C. A. (2023). #sustainablefashion on Instagram: A content and network analysis of user‐generated posts. Journal of Consumer Behaviour, 22(5), 1096–1111. https://doi.org/10.1002/cb.2182
Wang, X., Xu, Z., Qin, Y., & Skare, M. (2021). Service networks for sustainable business: A dynamic evolution analysis over half a century. Journal of Business Research, 136, 543–557. https://doi.org/10.1016/j.jbusres.2021.07.062
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Nana Heriana, Resya Dwi Marselina, Santi Nurul Adha, Alna Azzahra Nur S (Author)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
