THE IMPACT OF ANCHOR CHARACTERISTICS ON CUSTOMERS' SUSTAINABLE FOLLOW IN E-COMMERCE LIVE BROADCAST—BASED ON THE SURVEY OF TIKTOK USERS IN CHINA

  • Li Qi Horgos Business School, Yi Li Normal University
  • Shao Xiaoli Al-Farabi Kazakh National University
Keywords: anchor characteristics, sustainable follow, perceived value, flow experience

Abstract

With the development of Internet commerce, live broadcast has become a new e-commerce milestone. This study uses SOR model for reference, taking customer perceived value and customer flow experience as intermediary variables, to explore the impact of anchor characteristics on the sustainable follow of customers in the live broadcast room. The research findings demonstrate that the credibility, professionalism, interactivity, and attractiveness of e-commerce anchors have a significant positive impact on customer perceived value and customer flow experience. Customer perceived value and customer flow experience positively influence the sustainable retention of customers in live broadcast rooms. Moreover, these factors act as mediators between the characteristics of e-commerce anchors and the sustainable retention of customers. Therefore, it is imperative for live broadcast e-commerce merchants to adapt their strategies based on anchor attributes in order to enhance customer perceived value and improve customer flow experience. This will effectively guide customers towards sustained engagement and yield favorable marketing outcomes. It is helpful for e-commerce anchors to effectively reduce customer loss and form customer loyalty, and also provides a reference for enterprises to use live broadcast e-commerce for product sales and brand promotion.

References

Bai Lin. (2009). Review of research on the relationship between Customer Perceived Value, customer satisfaction and behavioral orientation. Management Review, 21(01)87-93.

Dipayan, Biswas, Abhijit, et al (2013). The Differential Effects of Celebrity and Expert Endorsements on Consumer Risk Perceptions. The Role of Consumer Knowledge, Perceived Congruency, and Product Technology Orientation. Journal of Advertising.

Gao Yunhui (2022). Research on the Impact of E-commerce Anchor Characteristics on Consumer Purchase Intention. Harbin: Harbin Institute of Technology.

Han Xiaoyi, Xu Zhengliang (2021). The impact of e-commerce anchor attributes on consumers' online purchase intention: a study based on the Grounded theory method. Foreign Economy and Management, 42(10),62-75.

Hausman A V, Siekpe J S (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1),5-13.

https://doi.org/10.1016/j.jbusres.2008.01.018

Hu Wenyu (2012). Research on Online Purchase Intention Based on Heart Flow Experience Theory. Beijing University of Posts and Telecommunications.

Ji Man, Zhuo Xiangzhi (2020). The influencing factors of consumer purchase intention in e-commerce live streaming environment based on SOR model. Journal of Huabei Normal University (Philosophy and Social Sciences Edition), 41 (04),49-57.

Khalifa M, Limayem M, Liu V (2002). Online Customer Stickiness: A Longitudinal Study. Journal of Global Information Management, 10(July),1-14.

https://doi.org/10.4018/jgim.2002070101

Lee K H, Hyun S S (2016). A model of value-creating practices, trusting beliefs, and online tourist community behaviors. International Journal of Contemporary Hospitality Management. 19(2),49-63.

Li Yuxi, Ye Li (2022). The impact of e-commerce live streaming on consumer purchase intention: an empirical analysis based on the iceberg model and SOR model. National Circulation Economy, 3(12),5-8.

Lin Tingting (2021). A Study on the Purchase Intention of E-commerce Live Consumers Based on Trust and Perceived Value. Kunming: Yunnan University of Finance and Economics.

Lin Tingting, Qu Hongjian (2022). The impact of internet celebrity marketing elements on clothing consumers' purchase intention. Silk, 56 (03),59-67.

Lin Yan, Yu Sha (2019). Online flow experience, customer fit and brand loyalty - based on the perspective of online shopping VR. Economics and Management, (6).

Ling Z, Lu Y, Wang B, et al (2011). What makes them happy and curious online? An empirical study on high school students' Internet use from a self-determination theory perspective. Computers & Education, 56(2),346-356.

https://doi.org/10.1016/j.compedu.2010.08.006

Liu Lamei (2021). The impact of negative online word-of-mouth on consumers' purchase intention in the context of internet celebrity marketing. Guangdong University of Foreign Studies and Business.

Luo Zichan (2022). Research on the Impact of Mobile E-commerce Live Broadcast Platform Broadcasters on Consumer Purchase Intention. Guangzhou: Guangdong University of Technology.

Mengfei (2019). Research on the Impact of Opinion Leaders on Purchase Intention in a Social Business Environment. Nanjing University.

Patwardhan P, Ramaprasad J (2005). Rational Integrative Model of Online Consumer Decision Making. Journal of Interactive Advertising, 6(1), 2-13.

https://doi.org/10.1080/15252019.2005.10722103

Rettie, Ruth (2001). An exploration of flow during Internet use. Internet Research, 11(2), 218-250.

https://doi.org/10.1108/10662240110695070

Smith D N, Sivakumar K (2005). Flow and Internet shopping behavior: A conceptual model and research propositions. Journal of Business Research, 57(10),1199-1208.

https://doi.org/10.1016/S0148-2963(02)00330-2

Tao Z, Li H, Yong L (2010). The effect of flow experience on mobile SNS users' loyalty. Industrial Management & Data Systems, 110(5-6), 930-946.

https://doi.org/10.1108/02635571011055126

Wang H, Ding J, AKRAM U, et al (2021). An Empirical Study on the Impact of E-Commerce Live Features on Consumers' Purchase Intention: From the Perspective of Flow Experience and Social Presence. Information, 12, 324.

https://doi.org/10.3390/info12080324

Wu Ruijuan, Wang Chenglu (2014). A Study on the Impact of Online Shop Professionalism on Consumer Emotion and Behavior: An Empirical Study Based on College Students. Management Review, (01), 109-119.

Yang Qiang, Zhang Kang, Wang Xiaomin, et al (2018). A Study on the Impact of the Characteristics of "Internet Red" Information Sources on Consumer Purchase Intention: A Mediated Model. Operations and Management, (11), 65-68.

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.

https://doi.org/10.1177/002224298805200302

Zhang Y Q, Bae K H (2016). An Empirical Study on Factors Affecting Customer Stickiness in Chinese Local Life-Service Online Group-Buying Market. Journal of Distribution and Management Research, 19(2), 33-42.

https://doi.org/10.17961/jdmr.19.2.201604.33

Zhao Baoguo, Wang Yunfeng (2022). The impact of e-commerce anchor characteristics on consumer purchase intention. Business Research, (1), 1-6.

Zhao Bin, Chen Jie, Cong Fang (2009). Analysis of Brand Loyalty Behavior of Online Consumers from the Perspective of "Heart Flow Experience". Modern Management Science, (02), 54-56.

Zhao Qing, Zhang Li, Xue Jun (2012). The Formation Mechanism and Empirical Analysis of Sticky Behavior of Network Users. Intelligence Theory and Practice, 35 (010), 25-29.

Zheng Wenqing, Hu Guozhu, Feng Yuqin (2015). The Impact of Marketing Strategies on Brand Loyalty: The Mediation of Customer Perceived Value. Economic longitude and latitude, 31 (06), 90-95.

Zheng Xing (2020). A study on the impact of e-commerce live streaming interaction types on consumers' impulsive purchase intention. Chongqing Business University.

Zhong Xiaona(2010). The impact of website characteristics and individual consumer characteristics on online shopping acceptance. [D] Zhejiang University.

Published
2024-04-04
How to Cite
Li Qi, & Shao Xiaoli. (2024). THE IMPACT OF ANCHOR CHARACTERISTICS ON CUSTOMERS’ SUSTAINABLE FOLLOW IN E-COMMERCE LIVE BROADCAST—BASED ON THE SURVEY OF TIKTOK USERS IN CHINA. International Journal of Business and Society, 25(1), 354-367. https://doi.org/10.33736/ijbs.6919.2024