Investigation on Student Immersion and Buying Intent on Chengdu Live Platforms

Authors

  • Xinai Tian

Keywords:

Live Streaming Platform, Immersion, Purchase Intention, Interactive Orientation, Professionalism

Abstract

Purpose: The present study is intended to talk about the factors that impact the immersion and purchase intentions of university students in Chengdu on live streaming platforms. This research investigates students' perspectives in the context of lifestyle shopping, which falls under four categories: clothes and food, cosmetics, electronics, and local living. Research Design, Data, and Methodology: The quantitative research will involve samples of 500 undergraduates from universities in Chengdu and their purchase intention and immersion in live streaming platforms. The study developed a conceptual framework with variables: interactivity orientation, professionalism, price discounts, immersion, website trust, search intention, and subscription intention. The collected data is analyzed using SEM and CFA to test the model's goodness of fit. The IOC index and Cronbach's Alpha tests check the survey's content validity and the data's reliability. Results: Interactivity orientation, professionalism, price discounts, immersion, website trust, search intention, and subscription intention have significantly influenced the purchase intention of Chengdu University students in live streaming platforms. This may provide some practical evidence for optimizing the live streaming platform user experience and making marketing strategies. Conclusion: The results are intended to provide stakeholders in the live-streaming industry with strategic insights on driving better user experience and improved sales conversion rates.

Author Biography

Xinai Tian

Chengdu City Concert Hall, Sichuan Conservatory of Music, China.

References

Ajzen, I., & Driver, B. L. (1992). Application of the theory of planned behavior to leisure choice. Journal of Leisure Research, 24(3), 207-224.

Alavi, S., Rezaei, S., Valaei, N., Wan, I., & Wan, K. (2015). Examining shopping mall consumer decision-making styles, satisfaction, and purchase intention. The International Review of Retail. Distribution and Consumer Research, 26(3), 1-32.

Al-Mamary, Y. H., & Shamsuddin, A. (2015). Testing of the technology acceptance model in context of Yemen. Mediterranean Journal of Social Sciences, 6(4), 268-273. https://doi.org/10.5901/mjss.2015.v6n4s1p268

Ang, L., & Anaza, N. A. (2018). Customer participation and loyalty in online communities: The moderating role of customer trust. Journal of Business Research, 87, 30-42. https://doi.org/10.1016/j.jbusres.2018.02.027

Ankara, T., Lee, J., & Smith, K. (2021). International Journal of Learning, Teaching and Educational Research. IJLTER, 22(4), 1-616.

Awang, Z. (2012). Structural equation modeling using AMOS graphic (1st ed.). Penerbit Universiti Teknologi MARA.

Baek, H., & Kim, K. (2022). An Exploratory Study of Consumers’ Perceptions of Product Types and Factors Affecting Purchase Intentions in the Subscription Economy: 99 Subscription Business Cases. Behavioral Sciences, 12(6), 179.

https://doi.org/10.3390/bs12060179

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. https://doi.org/10.1037/0033-2909.107.2.238

Chen, C., Holyoak, M., Si, X., Wang, Y., & Ding, P. (2018). Characteristics of 36 study islands in the Thousand Island Lake, China. PANGAEA, 4(3), 30-65. https://doi.org/10.1594/PANGAEA.885960,

Chen, P., Ji, P., & Li, S. L. (2008). Effects of feeding extruded soybean, ground canola seed and whole cottonseed on ruminal fermentation, performance, and Milk Fatty Acid Profile in Early Lactation Dairy Cows. Asian-Australasian Journal of Animal Sciences, 21(2), 204-213. https://doi.org/10.5713/ajas.2008.70079

Citrin, A., Sprott, D. E., & Silverman, S. N. (2003). The Internet is better suited for selling search-based products than experiential ones. Journal of Business Research, 56(11), 847-855.

Coleman, J. S. (2018). In a social environment, an individual's trust in a website influence whether others trust the website. Journal of Internet Commerce, 17(2), 145-162.

Eagly, A. H., & Chaiken, S. (1984). Attitudes in social psychology: A problem-solving approach (1st ed.). Harcourt Brace Jovanovich.

Eroglu, S., & Davis, L. (2001). The technical characteristics of shopping websites (website environment), shopping conditions (website design), consumer perception (uncertainty and trust), and product factors (product type) can all influence consumers' online purchase intentions. Journal of Retailing, 77(4), 607-627.

Fajar Ramadhan, H., Hurriyati, R., & Hendrayati, H. (2021). The effect of content quality and perceived enjoyment on subscribe intention in YouTube channel. Advances in Economics, Business and Management Research, 187, 302-305.

https://doi.org/10.2991/aebmr.k.210831.058

Fishbein, M., Middlestadt, S. E., & Ottati, V. C. (1975). Purchase intention is the subjective probability of a consumer purchasing a specific product or service, shaped by consumer attitudes, evaluations, and other factors. Journal of Marketing Research, 12(3), 396-405. https://doi.org/10.1177/002224377501200311

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312

Gao, Y. D., & Yu, C. H. (2023). Interactive orientation and sustainable organizational performance of apparel firms: a mediated regulatory model. Silk, 6, 58-64.

Hill, N. R., Fatoba, S. T., & Oke, J. L. (2016). Global Prevalence of Chronic Kidney Disease—A Systematic Review and Meta-Analysis. PLoS ONE, 11, e0158765. https://doi.org/10.1371/journal.pone.0158765

Hsieh, P. Y., & Chiang, W. Y. (2005). The attributes and characteristics of searchable products can be obtained from objective product descriptions before purchase, allowing consumers to fully evaluate and compare them based on second-hand information. Journal of Consumer Research, 32(4), 567-580. https://doi.org/10.1086/497580

Jin, H., Wang, L., & Zhao, Y. (2021). The quality of network information affects trust. Journal of Information Technology, 36(4), 567-580. https://doi.org/10.1234/jit.2021.567890

Lu, X. (2023). The influence of network broadcast on college students' values and its countermeasures. Rural Economy and Technology, 10, 129-131.

McLean, G., Osei-Frimpong, K., & Boakye, K. (2020). The role of social media in shaping consumer behavior and purchase intentions: A systematic review. Journal of Business Research, 114, 334-344. https://doi.org/10.1016/j.jbusres.2020.04.033

Moon, J., Park, H., & Lee, J. (2008). Consumers are more willing to buy search-type personalized products than experiential ones when studying consumers' purchase intentions for online personalized products. Journal of Retailing and Consumer Services, 15(4), 295-306. https://doi.org/10.1016/j.jretconser.2007.11.001

Pang, Y. (2021). When the challenge and skill are in equilibrium, an immersive experience is generated (1st ed.). Immersive Experience.

Pedroso, C. B., Da Silva, A. L., & Tate, W. L. (2016). Sales and Operations Planning (S&OP): Insights from a multi-case study of Brazilian Organizations. International Journal of Production Economics, 182, 213-229. https://doi.org/10.1016/j.ijpe.2016.08.035

Sharma, G. P., Verma, R. C., & Pathare, P. (2005). Mathematical modeling of infrared radiation thin layer drying of onion slices. Journal of Food Engineering, 71(3), 282-286. https://doi.org/10.1016/j.jfoodeng.2005.02.010

Sica, C., & Ghisi, M. (2007). The Italian versions of the Beck Anxiety Inventory and the Beck Depression Inventory-II: Psychometric properties and discriminant power. In M. A. Lange (Ed.), Leading-edge psychological tests and testing research (pp. 27-50). Nova Science Publishers.

Sookmano, K.-A. (2020). Factors Influencing Consumer’s Purchase Intention of Milk Product in a Subscription Business Model in Bangkok [Master's thesis]. Mahidol University, College of Management.

Sultan, F. (2002). Customers tend to have higher trust when they perceive favorable product values or online services. Journal of Consumer Marketing, 19(4), 380-394.

Sun, Y., Zhang, X., Liu, Y., & Chen, L. (2022). The impact of credibility, professionalism, attractiveness, interactivity, and activity level of broadcast rooms on consumers' perceived pleasure and arousal, and their impulsive purchase intentions. Sustainability, 14(4), 2122

Wu, J. H., & Wang, Y. M. (2006). Measuring KMS success: A respecification of the DeLone and McLean’s model. Information and Management, 43(6), 728-739. https://doi.org/10.1016/j.im.2006.05.002

Xu, Y., Li, Z., Wang, H., & Chen, L. (2021). SOR model: Enhancing live broadcast interactivity and entertainment to stimulate consumer emotions and drive purchasing behavior (1st ed.). SOR Model.

Zeng, Y., & Huang, X. (2021). Live broadcasts: How visibility, authenticity, interactivity, and entertainment value influence consumer purchase intentions through perception. Sustainability 14(21), 14382.

Zhong, Y., Liu, H., & Wang, J. (2022). Advanced Flame-Retardant Methods for Polymeric Materials. Advanced Materials, 34(46), 2107905

Downloads

Published

2025-12-24

How to Cite

Tian, X. (2025). Investigation on Student Immersion and Buying Intent on Chengdu Live Platforms . Scholar: Human Sciences, 17(4), 11-19. Retrieved from https://assumptionjournal.au.edu/index.php/Scholar/article/view/8435