References
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In J. Kuhl, & J. Beckman, Action control: From cognition to behavior. (pp. 11-39). Heidelberg, Germany: Springer.
Ajzen, I. (1991). The Theory of Planned Behavior. Organizational behavior and human decision processes, 50(2), pp. 179-211.
Bhattacherjee, A. (2012). Social science research: Principles, methods, and practices. Tampa: University of South Florida.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quartely, 30(4), 805-825.
Bulut, Z. A., & Karabulut, A. N. (2018). Examining the role of two aspects of eWOM in online repurchase intention: An integrated trust–loyalty perspective. Journal of Consumer Behaviour, 17(4), 407-417. doi:10.1002/cb.1721
Campbell, J. L., Quincy, C., Osserman, J., & Pedersen, O. K. (2013). Coding in-depth semi-structured interviews: Problems of unitization and intercoder reliability and agreement. Sociological Methods & Research, 294-320.
Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide through Qualitative Analysis. London: Sage.
Chen, C., & Lin, Y. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), pp. 293-303. Retrieved from http://dx.doi.org/10.1016/j.tele.2017.12.003
Cheung, C., & Thadani, D. (2012). The Impact of Electronic Word-of-Mouth Communication: A Literature Analysis and Integrative Model. Decision Support System, 54(1), 461-470.
Cheung, C., Lee, M., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247. doi:10.1108/10662240810883290
Cheung, M., Luo, C., Sia, C., & Chen, H. (2009). Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations. International Journal of Electronic Commerce, 13(4), 9-38.
CINNIC. (2024). The 53th Statistical Reports on Internet Development in China. China Internet Network Information Center.
Cohen, J. (1960). A Coefficient Of Agreement For Nominal Scales. Educational and psychological measurement, 37-46.
Cohen, L., Manion, L., & Morrison, K. (2000). Research Methods. Routledge.
Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory. (4th ed.). Sage publications.
Creswell, J. W., & Poth, C. N. (2013). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Thousand Oaks: Sage.
Eagly, A. H., & Chaiken, S. (1993). The Psychology of Attitudes. Harcourt Brace Jovanovich College Publishers.
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47-55.
Erkan, I., & Evans, C. (2018). Social media or shopping websites? The influence of eWOM on consumers’ online purchase intentions. Journal of Marketing Communications, 24(6), 617-632.
Fan, Y.-W., Miao, Y.-F., Fang, Y.-H., & Lin, R.-Y. (2013). Establishing the Adoption of Electronic Word-of-Mouth through Consumers’ Perceived Credibility. International Business Research, 6(3), 58-65. doi:10.5539/ibr.v6n3p58
Filieri, R., Mcleay, F., Tsui, B., & Lin, Z. (2018). Consumer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information and Management, 55(8), 956-970. doi:https://doi.org/10.1016/j.im.2018.04.010
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Canada: Addison-Wesley Publishing Company.
Glaser, G. B., Strauss, L. A., & Strutzel, E. (1968). The discovery of grounded theory; strategies for qualitative research. Nursing research, 17(4), p. 364.
Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field methods, 18(1), 59-82.
Hennig-Thurau, T., Gwinner, K. P., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52.
Hu, M., & Chaudhry, S. (2020). Enhancing Consumer Engagement in E-commerce Live Streaming via Relational Bonds. Internet Research, 30(3), 1019-1041. doi:10.1108/INTR-03-2019-0082
Huang, T., Chen, W., Chen, C., & Silalahi, A. K. (2022). Understanding How Product Reviews on YouTube Affect Consumers’ Purchase Behaviors in Indonesia: An Exploration Using the Stimulus-Organism-Response Paradigm. Human Behavior and Emerging Technologies, 1-19.
Hussain, S., Ahmed, W., Jafar, R., Rabnawaz, A., & Yang, J. (2017). eWOM source credibility, perceived risk and food product customer’s information adoption. Computers in Human Behavior, 66, 96-102.
Johnston, L. (2006). Software and method: Reflections on teaching and using QSR NVivo in doctoral research. International Journal of Social Research Methodology, 9(5), pp. 379-391. doi:10.1080/13645570600659433
Khwaja, M., & Zaman, U. (2020). Configuring the evolving role of eWOM on the consumers information adoption. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 1-13.
King, A. R., Racherla, P., & Bush, V. D. (2014). What we know and don’t know about online word-of-mouth: A review and synthesis of the literature. Journal of Interactive Marketing, 167-183.
Landis, J., & Koch, G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 159-174.
Lee, C., & Chen, C. (2021). Impulse buying behaviors in live streaming commerce based on the stimulus-organism-response framework. Information, 12(6), pp. 1-17.
Leong, C., Loi, M. A., & Woon, S. (2021). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics.
Li, Y., & Liu, C. (2019). The power of coworkers in service innovation: the moderating role of social interaction. International Journal of Human Resource Management, 30(12), 1956-1976.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic Inquiry. United Kindom: Sage Publications.
Liu, C., Sun, K., & Liu, L. (2023). The Formation and Transformation Mechanisms of Deep Consumer Engagement and Purchase
Luo, X., Lim, W., Cheah, J.-h., Lim, X.-j., & Dwivedi, Y. (2023). Live Streaming Commerce: A Review and Research Agenda Live Streaming Commerce: A Review and Research Agenda. Journal of Computer Information Systems, 1-25.
Metzger, M. J., Flanagin, A. J., Eyal, K., Lemus, D. R., & Mccann, R. M. (2003). Credibility for the 21st Century: Integrating Perspectives on Source, Message, and Media Credibility in the Contemporary Media Environment. Annals of the International Communication Association, 293-335.
Ming, J., Zeng, J., Bilal, M., Akram, U., & Fan, M. (2021). How social presence influences impulse buying behavior in live streaming commerce? The role of S-O-R theory. International Journal of Web Information Systems, 17(4), 300-320. doi:10.1108/IJWIS-02-2021-0012
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness and attractiveness. Journal of Advertising, 19(3), 39-52. doi:https://doi.org/10.1080/00913367.1990.10673191
Ou, X. (2024, April 5). Market size of live streaming e-commerce in China from 2019 to 2023 with estimates until 2026. Retrieved from statista: https://www.statista.com/statistics/1127635/china-market-size-of-live-commerce/
Ou, X. (2024, February 27). Distribution of leading livestreaming e-commerce platforms’ gross merchandise in China in 2022, by platform. Retrieved from statista: https://www.statista.com/statistics/1339406/china-market-share-of-leading-live-commerce-platforms/
Ou, X. (2024, July 22). Kuaishou’s gross merchandise value (GMV) of live streaming commerce in China from 2018 to 2023. Retrieved from statisa: https://www.statista.com/statistics/1273678/china-live-commerce-gmv-of-kuaishou/
Ou, X. (2024, September 27). statista. Retrieved from Number of live-commerce service users in China from 2020 to 2023(in millions): https://www.statista.com/statistics/1301256/china-number-of-live-commerce-users/
Park, M., & Lennon, S. J. (2009). Brand name and promotion in online shopping contexts. Journal of Fashion Marketing and Management, 149-160.
Petty, R., & Cacioppo, J. (1986). The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology, 19(C), 123-205. doi:10.1016/S0065-2601(08)60214-2
Phillips, M., & Lu, J. (2018). A quick look at NVivo. Journal of Electronic Resources Librarianship, 104-106.
Shen, W., Hu, Y. J., & Ulmer, J. (2015). Competing for Attention: An Empirical Study of Online Reviewers’ Strategic Behavior. MIS Quarterly, 39(3), 683-696.
Steuer, J. (1992). Defining Virtual Reality: Dimensions Determining Telepresence. Journal of Communication, 42(4), 73-93.
Strauss, A. L. (1987). Qualitative analysis for social scientists. Cambridge university press.
Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019). How live streaming influences purchase intentions in social commerce: An IT affordance perspective. Electronic Commerce Research and Applications, 37, 100886. doi:10.1016/j.elerap.2019.100886
Sundar, S. (2012). Social psychology of interactivity in human-website interaction. Oxford Handbook of Internet Psychology, 1-18.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information systems research, 14(1), 47-65. doi:10.1287/isre.14.1.47.14767
TechNode. (2024, January 4). Douyin reports 256% growth in sales from local life services. Retrieved from TechNode: https://technode.com/2024/01/04/douyin-reports-256-growth-in-sales-from-local-life-services/
Tien, D., Amaya Rivas, A., & Liao, Y. (2019). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review, 24(3), 238-249. doi:10.1016/j.apmrv.2018.06.003
Verma, D., Prakash, P., Behl, A., & Dwivedi, Y. K. (2023). Computers in Human Behavior Understanding the impact of eWOM communication through the lens of information adoption model: A meta-analytic structural equation modeling perspective. Computers in Human Behavior, 1-16.
Wongkitrungrueng, A., & Assarut, N. (2018). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543-556. doi:https://doi.org/10.1016/j.jbusres.2018.08.032
Wongkitrungrueng, A., Dehouche, N., & Assarut, N. (2020). Live streaming commerce from the sellers’ perspective: implications for online relationship marketing. Journal of Marketing Management, 36(5-6), 488-519. Retrieved from https://doi.org/10.1080/0267257X.2020.1748895
Wu, W., Lin, C., Hsu, B., & Yeh, R. (2009). Interpersonal trust and knowledge sharing: Moderating effects of individual altruism and a social interaction environment. Social Behavior and Personality, 37(1), 83-94.
Xiao, L., Guo, F., Yu, F., & Liu, S. (2019). The effects of online shopping context cues on consumers’ purchase intention for cross-border E-Commerce sustainability. Sustainability, 11(10), 1-24.
Xin, B., Hao, Y., & Xie, L. (2023). Strategic product showcasing mode of E-commerce live streaming. Journal of Retailing and Consumer Services, 1-20.
Yen, Y. (2018). Route factors influencing trust and attitude toward TV shopping. Service Industries Journal, 7-8, pp. 402-430. Retrieved from https://doi.org/10.1080/02642069.2017.1393525
Zhang, M., Liu, Y., Wang, Y., & Zhao, L. (2022). How to retain customers: Understanding the role of trust in live streaming commerce with a socio-technical perspective. Computers in Human Behavior, 1-14.
Zhang, M., Qin, F., Wang, G. A., & Luo, C. (2020). The impact of live video streaming on online purchase intention. The Service Industries Journal, 40(9-10), 656-681. doi:https://doi.org/10.1080/02642069.2019.1576642
Zhu, D. H., Chang, Y. P., & Luo, J. J. (2016). Understanding the influence of C2C communication on purchase decision in online communities from a perspective of information adoption model. Telematics and Informatics, 33(1), 8-16. doi:10.1016/j.tele.2015.06.001