Study on the Influencing Factors of Users’ Intention of Participatory Communication Behaviors in Online Game Live Based on VAM and TPB Models
DOI:
https://doi.org/10.54691/bcpssh.v18i.963Keywords:
online game live, participatory communication behavior, value acceptance model, Theory of Planned BehaviorAbstract
In recent years, online game live rockets to fame, in which case live-broadcasting platforms and network anchors have become increasingly popular, inevitably causing many violations and management chaos while competing for users' attention. Therefore, it has become an important topic of theoretical and practical significance to explore the factors influencing users' behavioral intention to participate in live broadcast games. Based on the theories of VAM and TPB, this study attempts to build a research model of the influencing factors of users' behavioral intention to participate in broadcast games, propose hypotheses and conduct a questionnaire survey. SPSS software was used to conduct correlation analysis and stratified regression analysis on 419 valid samples, mainly young people aged about 24. It turns out that perceived usefulness, perceived enjoyment, subjective norms, and perceived behavioral control significantly and positively affect users' behavioral intention to participate in live broadcast games.
Downloads
References
The 49th statistical report on China's Internet development issued by China Internet Network Information Center
Notice on strengthening the management of online audio-visual program platform game live broadcast issued by the Department of online audio-visual program management of the State Administration of radio and television and the Publishing Bureau of the Central Propaganda Department
Zhou Baohua, Lu Ye From media use to media participation: the basic situation of Chinese public media literacy [J] Journalism University. 2008 (04): 58-66
DAVIS F D. Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology[J]. MIS Quarterly, 1989, 13(3): 318-339.
BAO Ran. New Media: from the Passive Age to the Me Age[M]. Beijing: Communication University of China Press, 2010.
Fishbein, M. An investigation of the relationships between beliefs about an object and the attitude toward that object[J]. Human Rela ⁃ tions, 1963, 16(3): 233-239.
Fishbein M, Ajzen I. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research[M]. Reading: MA Addison- Wesley, 1975.
Ajzen I. The theory of planned behavior[J]. Organizational Behav ⁃ ior and Human Decision Processes, 1991, 50(2): 179 –211.
Armitage C J, Conner M. The theory of planned behaviour: Assess ⁃ ment of predictive validity and perceived control[J]. British Jour ⁃ nal of Social Psychology, 2010, 38(1): 35-54.
Zhang H, Bai C H, Li C F. Study on consumers’online purchas⁃ ing intention: Comparison between TRA and TPB[J]. Soft Science, 2011, 25(9): 130- 135.]
Ning Jingyi Research on the motivation model of online game live video users' participation behavior [D] Guangxi: Guangxi University, 2018
Tian Yunqing, Qin Yinglin. TAM model based user engagement evaluation of social e-commerce platform - a case study of the Red APP
Zhou Rongfu, Zhang Lian, Zhang Yaming Impact of Information Content Pushed By Wechat Public Platform On Customer Brand Loyalty [J] Business Research, 2016 (6): 141-147
Davis F D.Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology[J].MIS Quarterly,1989,13 (3) : 319-340.
Yoon H Y. User Acceptance of Mobile Library Applications in Academic Libraries: An Application of the Technology Acceptance Model[J].The Journal of Academic Librarianship, 2016, 42 (6) : 687-693.
Li Baoku, Xie Huiming, Gao Wei. Study on users' willingness to accept lbs group purchase based on TAM [J]. Modern intelligence, 2015, 35 (9): 12-17
Lu Yanhao, Gu Yinan Satisfaction and acceptance: A Study on vlog news audience behavior
Zheng Zhilai, Zhang Qiuting: A study on wechat knowledge sharing behavior based on TPB and TAM Models
Moon J,Kim Y.Extending The TAM for A World-Wide-Web context[J].Information&Management,2001,38:217~230.
K Praveena,S Thomas.Continuance Intention to Use Facebook :A Study of Perceived Enjoyment and TAM.Bonfring International Journal of Industrial Engineering & Management Science,2014,4(I):24-29.
Ma Ling, XING Yun, Wu Xianfeng. Research on influencing Factors of curriculum website use intention [J]. China Electronic Education,2013(02):72-78.
Li L: Research on influencing factors of behavioral intention to use short video APP in elderly population based on TPB model.
Yang Luming, Li Qinyun: Research on the Influencing Factors of mobile consumer shopping.
Liang Guanfeng, Wu Zhiyin, Wu Diming: Research on the influencing factors of "E-commerce live Broadcasting" on college students' online consumption behavior based on planned Behavior Theory.
Niu Xinquan, Liu Qingzhen: Film marketing communication Strategy Analysis based on planned Behavior Theory -- Taking The Wandering Earth as an example.
Li LUyun, Fan Zhenzhen. Research on the influencing factors of users' mobile audio payment intention: Based on TPB-TAM integration model.
Wang Zaifeng. Self - pleasing consumption is the label of an era.