Consumer Trust Mediates Live Streaming Optimization and Product Specialization in Increasing Marketplace Purchase Interest
DOI:
https://doi.org/10.59211/mjpjetl.v4i1.309Keywords:
Consumer Trust; Live Streaming; Marketplace; Product Specialization; Purchase Interest.Abstract
This study addressed the empirical gap regarding the mechanisms underlying consumer purchase decisions within the direct digital commerce framework, focusing on Erlimakids consumers on Shopee and TikTok Shop. The primary objective was to investigate the structural path of live streaming perceptions and product specialization in driving purchase intentions, while concurrently examining the specific role of marketplace consumer trust as an operational mediator. Utilizing an explanatory quantitative approach based on the Stimulus-Organism-Response model, primary data from 161 validated respondents were statistically analyzed via Structural Equation Modeling Partial Least Squares (SEM-PLS). The structural model evaluation demonstrated that both live streaming quality and strategic product specialization substantially reinforced consumer trust, which subsequently exerted a critical directive influence on purchase intention. Furthermore, product specialization emerged as the most dominant direct determinant of purchase preferences. The mediation analysis verified that consumer trust in the marketplace operated as a substantive partial mediator, indicating a dual-track cognitive mechanism where purchase intention was simultaneously shaped by trust-based psychological evaluations and direct attribute assessment. Consequently, integrating specialized product positioning with interactive digital communication effectively maximized transactional conversions.
Downloads
References
[1] P. Ranjan and G. V. R. K. Acharyulu, “An exploration of online marketplace quality dimension and relationship with purchase intention: the mediating roles of trust and e-WOM,” Int. J. Electron. Mark. Retail., vol. 13, no. 4, pp. 490–512, 2022, doi: 10.1504/IJEMR.2022.125588.
[2] G. Yang, W. Chaiyasoonthorn, and S. Chaveesuk, “Exploring the influence of live streaming on consumer purchase intention: A structural equation modeling approach in the Chinese E-commerce sector,” Acta Psychol. (Amst)., vol. 249, no. August, pp. 1–10, 2024, doi: 10.1016/j.actpsy.2024.104415.
[3] J. Liu and M. Zhang, “Formation mechanism of consumers’ purchase intention in multimedia live platform: a case study of Taobao Live,” Multimed. Tools Appl., vol. 83, no. 2, pp. 3657–3680, 2024, doi: 10.1007/s11042-023-15666-6.
[4] Y. Fu, J. Kim, and S. Cho, “Relationship between Product Characteristics and Customer Purchase Intention in Cross-Border Online Shopping : Focus on Chinese Consumers,” J. Econ. Mark. Manag., vol. 10, no. 6, pp. 47–57, 2022.
[5] A. Februadi and N. Septiani, “Interactivity and Professionalism to increase Purchase Intention in Live-Streaming Distribution Channel: The Mediation Effect of Trust in Sellers and Platform,” J. Distrib. Sci., vol. 22, no. 10, pp. 55–63, 2024, doi: 10.15722/jds.22.10.202410.55.
[6] J. Creswell and D. Creswell, Research Design, Qualitative, Quantitative and Mixed Methods Approaches, vol. Sixth Edit, no. 1. 2023.
[7] M. Sarstedt, J. F. H. Jr, J.-H. Cheah, J.-M. Becker, and C. M. Ringle, “How to specify, estimate, and validate higher-order constructs in PLS-SEM,” Australas. Mark. J., vol. 27, no. 3, pp. 197–211, 2019, doi: 10.1016/j.ausmj.2019.05.003.
[8] J. F. Hair, T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), Second Edi. Los Angeles: SAGE Publications, Inc, 2017.
[9] J.-M. Becker, J.-H. Cheah, R. Gholamzade, C. M. Ringle, and M. Sarstedt, “PLS-SEM’s most wanted guidance,” 2022. doi: https://doi.org/10.1108/IJCHM-04-2022-0474.
[10] X. Zhao, J. G. Lynch, and Q. Chen, “Reconsidering Baron and Kenny: Myths and truths about mediation analysis,” J. Consum. Res., vol. 37, no. 2, pp. 197–206, 2010, doi: 10.1086/651257.
[11] J. Jacoby, “Stimulus-Organism-Response Reconsidered: An Evolutionary Step in Modeling (Consumer) Behavior,” J. Consum. Psychol., vol. 12, no. 1, pp. 51–57, 2002, doi: 10.1207/s15327663jcp1201_05.
[12] R. Vongurai and N. Chavee, “Factors Impacting Trust, Satisfaction, and Purchase Intention Via Social Live Stream Commerce with Thai Influencers,” J. Multidiscip. Soc. Sci., vol. 19, no. 2, pp. 30–41, 2023, [Online]. Available: https://so03.tci-thaijo.org/index.php/sduhs/article/view/268399
[13] Y. H. Chang, A. D. K. Silalahi, I. J. Eunike, and D. Riantama, “Socio-technical systems and trust transfer in live streaming e-commerce: analyzing stickiness and purchase intentions with SEM-fsQCA,” Front. Commun., vol. 9, pp. 01–21, 2024, doi: 10.3389/fcomm.2024.1305409.
[14] Y. Kim and R. A. Peterson, “A Meta-analysis of Online Trust Relationships in E-commerce,” J. Interact. Mark., vol. 38, pp. 44–54, 2017, doi: 10.1016/j.intmar.2017.01.001.
Downloads
Published
Issue
Section
URN
License
Copyright (c) 2026 Abdul Salam, Nasharuddin Mas, Survival, Aji Suraji, Rahayu Puji Suci

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors grant the journal the right of first publication. which permits unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited. Authors are responsible for ensuring that any third-party materials included in their work have proper permissions.






