Abstract
As an integral component of Chinese national culture, traditional handicrafts face dual challenges of being replaced by modern industrial products and market contraction. In the context of the digital economy, the youth demographic, serving as primary participants and innovators in live-streaming e-commerce, positions Douyin live as a pivotal avenue to explore new opportunities for traditional handicrafts in modern markets. This study focuses on Lin’an District, Hangzhou City, Zhejiang Province, employing questionnaire surveys and on-site interviews with 53 artisans to investigate the role of Douyin live in enhancing the sales of traditional handicrafts. The findings reveal that youth engagement drives the sales of traditional handicrafts through dual pathways of consumption support and cultural participation: young creators significantly improve the online visibility of handicrafts through content innovation; the Douyin platform facilitates the preservation of intangible cultural heritage, markedly boosting market sales; and policy support and resource integration facilitated by Douyin positively influence sales, with young livestream hosts demonstrating greater adaptability in leveraging policy resources. Based on empirical analysis, this study confirms the positive impact of Douyin live on traditional handicraft sales and proposes actionable strategies, including content innovation, brand building, and technological empowerment, to further promote sales and sustainable development. The results not only provide practical marketing strategies for artisans but also offer novel insights into the inheritance and innovative development of traditional handicrafts.
References
Abarbanel, B., & Johnson, M. R. (2020). Gambling engagement mechanisms in Twitch live streaming. International Gambling Studies, 20(3), 393–413. https://doi.org/10.1080/14459795.2020.1766097
Bansal, G. (2023). Contract farming, capital and state: Corporatisation of Indian agriculture. The Journal of Peasant Studies, 50(5), 2116–2119. https://doi.org/10.1080/03066150.2022.2137629
Bao, N., Liu, J., Liu, Y., & Yang, J. (2023). Exploring the development path of traditional culture handicraft industry under the background of digital economy – A case study of Jingdezhen. In C. T. Dang, J. Cifuentes-Faura, & X. Li (Eds.), Proceedings of the 2nd Inter-national Conference on Business and Policy Studies (pp. 1383–1397). Springer, Singapore. https://doi.org/10.1007/978-981-99-6441-3_125
Chen, C.-P. (2023). Hardcore viewer engagement and social exchange with streamers and their digital live streaming communities. Qualitative Market Research, 26(1), 37–57. https://doi.org/10.1108/QMR-06-2021-0074
Chen, X., Wu, M., & Yang, Y. (2024). Determining the role of live streamers in mobile commerce: Psychological effect of social presence and risk preference. Current Psychology, 43, 22781–22796. https://doi.org/10.1007/s12144-024-05939-0
Fan, X., Zhang, L., Guo, X., & Zhao, W. (2024).The impact of live-streaming interactivity on live-streaming sale mode based on game-theoretic analysis. Journal of Retailing and Consumer Services, 81, 103981. https://doi.org/10.1016/j.jretconser.2024.103981
Gao, X., Xu, X.-Y., Tayyab, S. M. U., & Li, Q. (2021). How the live streaming commerce viewers process the persuasive message: An ELM perspective and the moderating effect of mindfulness. Electronic Commerce Research and Applications, 49, 101087.
https://doi.org/10.1016/j.elerap.2021.101087
Giertz, J. N., Weiger, W. H., Törhönen, M., & Hamari, J. (2021). Content versus community focus in live streaming services: How to drive engagement in synchronous social media. Journal of Service Management, 33(1), 33–58.
https://doi.org/10.1108/JOSM-12-2020-0439
Henderson, I. L., Avis, M., Tsui, W. H. K., Ngo, T., & Gilbey, A. (2023). Compound brands and the multi-creation of brand associations: Evidence from airports and shopping malls. Sustainability, 15(2), 1450. https://doi.org/10.3390/su15021450
Huang, Z., Yan, X., & Deng, J. (2024). How social presence influences consumer well-being in live video commerce: The mediating role of shopping enjoyment and the moderating role of familiarity. Journal of Theoretical and Applied Electronic Commerce Research, 19(2), 725–742. https://doi.org/10.3390/jtaer19020039
Liu, H., Si, J., Yang, Y., Zhang, X., & Zeng, Y. (2022). Research on the sustainable development of Live broadcast to help farmers in the 5G era. Sustainable Development, 12(2), 396–401. https://www.oalib.com/research/6771713
Lu, B., & Chen, B. (2021). Live streaming commerce and consumers’ purchase intention: An uncertainty reduction perspective. Information & Management, 58(7), 103509. https://doi.org/10.1016/j.im.2021.103509
Lu, Y., He, Y., & Ke, Y. (2023). The influence of e-commerce live streaming affordance on consumer’s gift-giving and purchase intention. Data Science and Management, 6(1), 13–20. https://doi.org/10.1016/j.dsm.2022.10.002
Luo, L., Xu, M., & Zheng, Y. (2024). Informative or affective? Exploring the effects of streamers’ topic types on user engagement in live streaming commerce. Journal of Retailing and Consumer Services, 79, 103799.
https://doi.org/10.1016/j.jretconser.2024.103799
Lv, J., Yao, W., Wang, Y., Wang, Z., & Yu, J. (2022). A game model for information dissemination in live streaming e‐commerce envi-ronment. International Journal of Communication Systems, 35(1), e5010.
https://doi.org/10.1002/dac.5010
Lyu, W., Qi, Y., & Liu, J. (2022). Proliferation in live streaming commerce, and key opinion leader selection. Electronic Commerce Research, 24, 1153–1186. https://doi.org/10.1007/s10660-022-09605-0
Ma, R., & Yang, T. (2024). Manufacturer’s channel strategy in live streaming E‐commerce supply chain. Managerial and Decision Economics, 45(4), 2087–2107. https://doi.org/10.1002/mde.4102
QuestMobile. (2023, November 24). New media ecosystem insights: Industry user base reaches 1.088 billion, user migration and diversion enter a new phase, platforms pursue growth and monetization through two main channels. 36 Kr. https://www.36kr.com/p/2527404954035973
Sato, D., Ikeda, Y., Kawai, S., & Schich, M. (2020). The sustainability and the survivability of Kyoto’s traditional craft industry revealed from supplier-customer network. PloS one, 15(11), e0240618. https://doi.org/10.1371/journal.pone.0240618
Sheng, J., Gao, X., Diao, M., & Gerasimova, K. (2024). Discussion of consumers’ preference for food product traceability information: Beijing traceable tomato case study. Agricultural & Rural Studies, 2(3), 0017. https://doi.org/10.59978/ar02030017
Tang, Y., Dananjayan, S., Hou, C., Guo, Q., Luo, S., & He, Y. (2021). A survey on the 5G network and its impact on agriculture: Challenges and opportunities. Computers and Electronics in Agriculture, 180, 105895.
https://doi.org/10.1016/j.compag.2020.105895
Tan, X., Guo, Y., Orgun, M. A., Xue, L., & Chen, Y. (2018). An engagement model based on user interest and QoS in video streaming systems. Wireless Communications and Mobile Computing, 2018(1), 1398958.
https://doi.org/10.1155/2018/1398958
Tian, Y., & Frank, B. (2024). Optimizing live streaming features to enhance customer immersion and engagement: A comparative study of live streaming genres in China. Journal of Retailing and Consumer Services, 81, 103974. https://doi.org/10.1016/j.jretconser.2024.103974
Tran, L. T. T. (2021). Managing the effectiveness of e-commerce platforms in a pandemic. Journal of Retailing and Consumer Services, 58, 102287. https://doi.org/10.1016/j.jretconser.2020.102287
Wang, K.-Y., Liang, M., & Peracchio, A. L. (2010). Strategies to offset dissatisfactory product performance: The role of post-purchase marketing. Journal of Business Research, 64(8), 809–815. https://doi.org/10.1016/j.jbusres.2010.10.006
Xu, G., Ren, M., Wang, Z., & Li, G. (2024). MEMF: Multi-entity multimodal fusion framework for sale prediction in live streaming commerce. Decision Support Systems, 184, 114277. https://doi.org/10.1016/j.dss.2024.114277
Xu, Y., Kapitan, S., & Phillips, M. (2023).The commercial impact of live streaming: A systematic literature review and future research agenda. International Journal of Consumer Studies, 47(6), 2495–2527. https://doi.org/10.1111/ijcs.12960
Xu, Y., & Ruan, Y. (2023). AI and human broadcasters: Relative impact on consumer engagement in live streaming commerce. Electronic Commerce Research and Applications, 62, 101335. https://doi.org/10.1016/j.elerap.2023.101335
Yang, Q., & Lee, Y.-L. ( 2024). The effect of live streaming commerce quality on customers’ purchase intention: Extending the elaboration likelihood model with herd behaviour. Behaviour & Information Technology, 43(5), 907–928. https://doi.org/10.1080/0144929X.2023.2196355
Zhang, D., Fu, L., Ma, J., & Chen, C. (2024). Social‐oriented versus task‐oriented streamer interaction styles on live streaming e‐commerce: Empirical research in China. Journal of Consumer Behaviour, 23(4), 1995–2008. https://doi.org/10.1002/cb.2320
Zhang, Y., & Xu, Q. (2024). Consumer engagement in live streaming commerce: Value co-creation and incentive mechanisms. Journal of Retailing and Consumer Services, 81, 103987. https://doi.org/10.1016/j.jretconser.2024.103987
Zhang, Z., Chen, Z., Wan, M., & Zhang, Z. (2023). Dynamic quality management of live streaming e-commerce supply chain considering streamer type. Computers & Industrial Engineering, 182, 109357. https://doi.org/10.1016/j.cie.2023.109357

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2025 Linlin Li; Jiayan Chen; Dubin Dong, Jialu Chen, Luhu Shuai
