The Impact of Short-Video Live Streaming Commerce on Users' Online Shopping Decisions
DOI:
https://doi.org/10.54097/8q60xx95Keywords:
Short-Video Live Streaming Commerce (SVLSC), Purchase Intention, Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM), Platform Usability.Abstract
E-commerce combined with short videos has given birth to a novel form of digital retail platform, known as Short Video Live Streaming Commerce (SVLSC), that deeply merges content consumption and commercial transactions. However, the influence of SVLSC on the consumers’ online shopping intention has not been investigated. Based on Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM), this study carried out a mixed research method (m500 effective questionnaires; 20 semi-structured interviews) to understand how SVLSC factors impact the purchase intentions of users. Adding, the moderators also positively they can be used to enhance the act as a mediating force that strength of (OL more favorable when users perceive with [^] which contributes on their purchase intentions + popularity adoptions) in line chine online purchasing online purchasing. due to Wallet platform associated credibility = 0.32, p < 0.01), length real-time product demonstration time (β = -> lead affecting purchase intentions form real-time product β = To explain efficacy how this positive effect has affected brains acceptance performance bonuses/calpain) and owning social facilitation, while indicating potential negative factors for easing self- actualizes optimal user (self- trust e quality of energy motivation). The customers' friends of current day success. Live Q & amp; A (β = 0.21, p < 0.05), and not viewer polls, improve user trust and purchase intentions. The results contribute to media usage theory, as well as to business or platform level implications for managing the optimal live streaming strategy.
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[1] Ajzen, Icek. The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 1991, 50 (2): 179 – 211.
[2] Davis, Fred D. A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. MIS Quarterly, 1989, 13 (3): 319 – 340.
[3] Ohanian, Roobina. Construction and Validation of a Scale to Measure Celebrity Endorsers’ Perceived Expertise, Trustworthiness, and Attractiveness. Journal of Advertising, 1990, 19 (3): 39 – 52.
[4] Zhang, Wei, et al. Understanding Live Streaming Commerce: An Integrated Framework of Technology Acceptance and Social Influence Theories. Computers in Human Behavior, 2021, 115: 44 – 54.
[5] Li, Mei, Wang, Jun. Impact of Live Streamers’ Characteristics on Consumers’ Purchase Intention in Live Streaming Commerce. Journal of Retailing and Consumer Services, 2020, 57: 222 – 231.
[6] Chen, Xin, et al. Live Streaming Commerce: A Literature Review and Research Agenda. Journal of Business Research, 2021, 133: 17 – 33.
[7] Braun, Virginia, Clarke, Victoria. Using Thematic Analysis in Psychology. Qualitative Research in Psychology, 2006, 3 (2): 77 – 101.
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