Abstract
Herd behavior refers to the consumer choosing to follow the others in one collective, in instance where consumer information is incomplete. This research aims to understand herd behavior in the context of group-buying and its influence on the customer experience (CX), ultimately a key precursor of consumer purchase decisions. Based on 17 semi-structured interviews with consumers who shopped from one leading Chinese e-commerce group-buying platform - Pinduoduo, this study identifies that group-buying employs multiple media types to encourage an increase in three-way interactions between the seller, the focal customer, and other consumers. Among these are co-ordering, co-reviewing, commenting, sharing, liking, and gifting. In addition, a relationship of circular causality exists in herd behavior, CX, and group-buying interaction. Specifically, herd behavior within a collective can influence the focal customers’ experience, which contributes to the focal customer’s interaction and intention. Last but not least, the author has adapted the existing measures by combining the research findings in order to assist future quantitative studies to examine the causal relationship between herd behavior, interaction, and CX.
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References
Cao, E., Li, H.: Group buying and consumer referral on a social network. Electron. Commer. Res. 20(1), 21–52 (2019). https://doi.org/10.1007/s10660-019-09357-4
Chow, C.W.C., Chow, C.S.F., Lai, J.Y.M., Zhang, L.L.: Online group-buying: the effect of deal popularity on consumer purchase intention. J. Consum. Behav. 21, 387–399 (2022)
Pinduoduo Inc. 2021 Annual Report. https://investor.pinduoduo.com/financial-information/annual-reports/3. Assessed 20 May 2022
Li, C.-Y.: How social commerce constructs influence customers’ social shopping intention? An empirical study of a social commerce website. Technol. Forecast. Soc. Chang. 144, 282–294 (2019). https://doi.org/10.1016/j.techfore.2017.11.026
Yin, S.: A study on the influence of e-commerce live streaming on consumer’s purchase intentions in mobile internet. In: Stephanidis, C., et al. (eds.) HCII 2020. LNCS, vol. 12427, pp. 720–732. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60152-2_54
Hajli, N.: Social commerce constructs and consumer’s intention to buy. Int. J. Inf. Manag. 35, 183–191 (2015). https://doi.org/10.1016/j.ijinfomgt.2014.12.005
Luo, X., Andrews, M., Song, Y., Aspara, J.: Group-buying deal popularity. J. Mark. 78, 20–33 (2014). https://doi-org.ezproxy.lib.rmit.edu.au/10.1509/jm.12.0422
Fang, J., Chen, L., Wen, C., Prybutok, V.R.: Co-viewing experience in video websites: the effect of social presence on e-loyalty. Int. J. Electron. Commer. 22, 446–476 (2018). https://doi.org/10.1080/10864415.2018.1462929
Jing, X., Xie, J.: Group buying: a new mechanism for selling through social interactions. Manag. Sci. 57, 1354–1372 (2011). https://www.jstor.org/stable/25835785
Lemon, K.N., Verhoef, P.C.: Understanding customer experience throughout the customer journey. J. Mark. 80, 69–96 (2016). https://www.jstor.org/stable/44134974
De Keyser, A., Lemon, K.N., Klaus, P., Keiningham, T.L.: A framework for understanding and managing the customer experience. MSI Working Paper No. Marketing Science Institute, Cambridge, MA, pp. 15–121 (2015)
Koufaris, M.: Applying the technology acceptance model and flow theory to online consumer behavior. Inf. Syst. Res. 13, 205–223 (2002). https://doi-org.ezproxy.lib.rmit.edu.au/10.1287/isre.13.2.205.83
Bleier, A., Harmeling, C.M., Palmatier, R.W.: Creating effective online customer experiences. J. Mark. 83, 98–119 (2018). https://doi.org/10.1177/0022242918809930
Chen, J.-S., Le, T.-T.-Y., Florence, D.: Usability and responsiveness of artificial intelligence chatbot on online customer experience in e-retailing. Int. J. Retail Distrib. Manag. 49, 1512–1531 (2021). https://doi.org/10.1108/IJRDM-08-2020-0312
Cheng, H.-H., Huang, S.-W.: Exploring antecedents and consequence of online group-buying intention: an extended perspective on theory of planned behavior. Int. J. Inf. Manag. 33, 185–198 (2013). https://doi.org/10.1016/j.ijinfomgt.2012.09.003
Kauffman, R.J., Lai, H., Ho, C.-T.: Incentive mechanisms, fairness and participation in online group-buying auctions. Electron. Commer. Res. Appl. 9, 249–262 (2010). https://doi.org/10.1016/j.elerap.2008.11.009
Tsai, M.-T., Cheng, N.-C., Chen, K.-S.: Understanding online group buying intention: the roles of sense of virtual community and technology acceptance factors. Total Qual. Manag. Bus. Excell. 22, 1091–1104 (2011). https://doi-org.ezproxy.lib.rmit.edu.au/10.1080/14783363.2011.614870
Coulter, K.S., Roggeveen, A.: Deal or no deal? How number of buyers, purchase limit, and time-to-expiration impact purchase decisions on group buying websites. J. Res. Interact. Mark. 6, 78–95 (2012). https://doi.org/10.1108/17505931211265408
Zhou, G., Xu, K., Liao, S.S.Y.: Do starting and ending effects in fixed-price group-buying differ? Electron. Commer. Res. Appl. 12, 78–89 (2013). https://doi.org/10.1016/j.elerap.2012.11.006
Kuan, K.K.Y., Zhong, Y., Chau, P.Y.K.: Informational and normative social influence in group-buying: evidence from self-reported and EEG data. J. Manag. Inf. Syst. 30, 151–178 (2014). https://www.jstor.org/stable/43590187
Shi, X., Liao, Z.: Online consumer review and group-buying participation: the mediating effects of consumer beliefs. Telematics Inform. 34, 605–617 (2017). https://doi.org/10.1016/j.tele.2016.12.001
Gaudet, S.R.D.: Theorizing and Presenting the Results In: A Journey Through Qualitative Research: From Design to Reporting. SAGE Publications Ltd (2019). https://dx.doi.org/10.4135/9781529716733
Schlosser, A.E., White, T.B., Lloyd, S.M.: Converting web site visitors into buyers: how web site investment increases consumer trusting beliefs and online purchase intentions. J. Mark. 70, 133–148 (2006). https://www.jstor.org/stable/30162091
Tseng, C.-H., Wei, L.-F.: The efficiency of mobile media richness across different stages of online consumer behavior. Int. J. Inf. Manag. 50, 353–364 (2020). https://doi.org/10.1016/j.ijinfomgt.2019.08.010
Dong, X., Wang, T., Benbasat, I.: IT affordances in online social commerce: conceptualization validation and scale development. In: Twenty-Second Americas Conference on Information Systems, San Diego, American, pp. 1–10 (2016)
Filieri, R., McLeay, F., Tsui, B.: Antecedents of travellers’ satisfaction and purchase intention from social commerce websites. In: Schegg, R., Stangl, B. (eds.) Information and Communication Technologies in Tourism 2017, pp. 517–528. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-51168-9_37
Erjavec, J., Manfreda, A.: Online shopping adoption during COVID-19 and social isolation: extending the UTAUT model with herd behavior. J. Retail. Consum. Serv. 65, 102867 (2022). https://doi.org/10.1016/j.jretconser.2021.102867
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Appendix
CX [13].
Information obtained from group-buying is useful.
I learned a lot from using group-buying.
I think the information obtained from group-buying is helpful.
Shopping fashion products from group-buying: not fun/fun; not enjoyable/enjoyable; not at all entertaining/very entertaining.
There is a sense of human contact in group-buying.
There is a sense of human warmth in group-buying.
There is a sense of human sensitivity in group-buying.
The product presentation on group-buying is lively.
I can acquire product information on group-buying from different sensory channels (e.g., imagery, auditory).
Group-buying contains product information exciting to senses.
Herd Behavior [27].
It seems that group-buying is the dominant type of shopping; therefore, I would like to use it as well.
I follow others in accepting group-buying.
I would choose to accept group-buying because many other people are already using it.
If I were to use group-buying, I would not be making the decision based on my own research and information.
Media Richness [24].
Group-buying allows to tailor my messages to my own personal requirements (e.g., virtual gifts, emojis).
Group-buying can communicate a variety of different cues in the messages (such as emotional tone, attitude, or formality) compared to buying from a website.
Group-buying allows all participants to use rich and varied language within the shopping journey (e.g., multiple perspective, text + image; short videos; livestream videos; animated GIFs; catwalk videos; customer review videos; augmented reality product view; avatars; descriptive videos; haptic feedbacks).
Interactivity [25].
I have a lot of control over my experience while using group-buying.
While using group-buying, I can freely choose what I want to see.
Group-buying facilitates three-way communication among the sellers, other customers, and me.
Group-buying sellers give me the opportunity to provide real-time feedback.
Group-buying sellers respond to my questions very quickly.
I can get information from the group-buying sellers and other customers very rapidly.
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Zhu, K. (2022). Follow Others: A Study of the Influence of Herd Behavior on Customer Experience in Group-Buying. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2022 – Late Breaking Posters. HCII 2022. Communications in Computer and Information Science, vol 1655. Springer, Cham. https://doi.org/10.1007/978-3-031-19682-9_44
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