Factors Effecting of the Consumer Purchase Intention by Local Life Services Live Streaming

Authors

  • Qi Yang
  • Anaspree Chaiwan
  • Chaiwat Nimanussornkul

DOI:

https://doi.org/10.54097/fbem.v9i3.9662

Keywords:

Live streaming, Local life services, Consumer perceived value, Consumer purchase intention.

Abstract

 As new e-commerce and local life service model, local service live streaming has great potential. This study intends to investigate the connections between live streamers, viewers, the product, the platform (i.e., ability, interaction, comment, promotion, trust and popularity) and the consumer's purchase intention. It also investigates the moderating role of consumer perceived value (i.e. perceived risk, perceived usefulness and perceived social value). Collected data from questionnaire and examined the hypotheses with structural equation model. The results suggest that interaction and ability have direct positive effects on purchase intention, and consumer perceived risk, perceived usefulness and perceived social value has significant moderating effect between factors and intention. This study gives some management implications for local service live streaming while extending the field of theoretical research on consumers purchase intention.

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References

Ni, Z.h. (2022). Innovation and development of live streaming industry in the era of 5G. National Circulation Economy (11), 25-27. doi:10.16834/j. cnki.issn1009-5292.2022.11.034.

Fitzgerald, M. (2012). O2O: O2 for local business. Retrieved from the website: http://www. Online economy. org/tag/online-to-offline.

Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543-556. doi: 10.1016/j.jbusres.2018.08.032.

Lin, K., Fong, L. H. N., & Law, R. (2022). Live streaming in tourism and hospitality: a literature review. Asia Pacific Journal of Tourism Research, 27(3), 290-304. doi: 10.1080/10941665.2022.2061365.

Wongsunopparat, S., & Deng, B. (2021). Factors Influencing Purchase Decision of Chinese Consumer under Live Streaming E-Commerce Model. Journal of Small Business and Entrepreneurship, 9(2), 1-15. doi:10.15640/jsbed.v9n2a1.

Hilvert-Bruce, Z., Neill, J. T., Sjöblom, M., & Hamari, J. (2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human Behavior, 84, 58-67. doi:10.1016/j.chb.2018.02.013.

Hou, F., Guan, Z., Li, B., & Chong, A. Y. L. (2019). Factors influencing people’s continuous watching intention and consumption intention in live streaming: Evidence from China. Internet Research. https://doi.org/10.1108/INTR-04-2018-0177.

Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., & Yale, L. J. (1998). A dyadic study of interpersonal information search. Journal of the academy of marketing science, 26(2), 83-100. doi:10.1177/0092070398262001.

Meng, L., Liu, F.J., Chen, S.Y., & Duan, S.H.. (2020). Can I evoke you - A study on the mechanism of different types of live ceblebrity information source characteristics on consumers' purchase intention. Nankai Management Review (01), 131-143.

Liu, Z.Y., Zhao, X.H., & Long, W. .(2020). The formation mechanism of consumer's purchase intention under the live streaming of celebrity e-commerce - an analysis based on rooting theory. China Circulation Economy (08), 48-57. doi:10.14089/j.cnki.cn11-3664/f.2020.08.005.

Wang, Q. Z., Yao, Q., & Ye, Y.. (2014). A study on the mechanism of price discount and number of buyers on consumers' impulse purchase intention in online group purchase scenario. Journal of Management Engineering (04), 37-47. doi:10.13587/j.cnki.jieem.2014.04.034.

Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American economic review, 75(3), 424-440. https://www.jstor.org/stable/1814809.

Flavián, C., & Guinalíu, M. (2006). Consumer trust, perceived security and privacy policy: three basic elements of loyalty to a web site. Industrial management & data Systems. doi:10.1108/02635570610666403.

De Ruyter, K., Wetzels, M., & Kleijnen, M. (2001). Customer adoption of e‐service: an experimental study. International journal of service industry management, 12(2), 184-207. doi:10.1108/09564230110387542.

Jahng, J., Jain, H., & Ramamurthy, K. (2007). Effects of interaction richness on consumer attitudes and behavioral intentions in e-commerce: some experimental results. European Journal of Information Systems, 16(3), 254-269. doi:10.1057/palgrave.ejis.3000665.

Finsterwalder, J., & Kuppelwieser, V. G. (2011). Co-creation by engaging beyond oneself: the influence of task contribution on perceived customer-to-customer social interaction during a group service encounter. Journal of Strategic Marketing, 19(7), 607-618. doi:10.1080/0965254X.2011.599494.

Lu, C.B., Qin, Q.X., & Lin, Y.Y. .(2013). Cognitive mechanisms of consumer purchase decisions in false promotions: An empirical study based on time pressure and overconfidence. Nankai Management Review (02), 92-103.

Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of marketing, 52(3), 2-22.

Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of retailing, 77(2), 203-220.doi:10.1016/S0022-4359(01)00041-0.

Hox, J. J., & Bechger, T. M. (1998). An introduction to structural equation modeling. Doi:10.1007/978-3-030-80519-7_1.

Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention: A general structural equation model. European journal of marketing. doi:10.1108/03090560310495456.

Kline, R. B. (1998). Software review: Software programs for structural equation modeling: Amos, EQS, and LISREL. Journal of psychoeducational assessment, 16(4), 343-364.

Cohen, I., Huang, Y., Chen, J., Benesty, J., Benesty, J., Chen, J., ... & Cohen, I. (2009). Pearson correlation coefficient. Noise reduction in speech processing, 1-4.

Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychological methods, 7(4), 422.

Johnson, R. W. (2001). An introduction to the bootstrap. Teaching statistics, 23(2), 49-54.

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Published

28-06-2023

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Articles

How to Cite

Yang, Q., Chaiwan, A., & Nimanussornkul, C. (2023). Factors Effecting of the Consumer Purchase Intention by Local Life Services Live Streaming. Frontiers in Business, Economics and Management, 9(3), 224-232. https://doi.org/10.54097/fbem.v9i3.9662