PURCHASE DECISION EFFECTS OF IN STORE LIVE STREAMING IN INDONESIA

Authors

  • Kurnia Chris Pradana Wicaksono Universitas Prasetiya Mulya
  • Denise Theresia Laurena Universitas Prasetiya Mulya
  • Annisa Fathurrohmah Universitas Prasetiya Mulya
  • Junnany Universitas Prasetiya Mulya
  • Ronald Octavianus Universitas Prasetiya Mulya

DOI:

https://doi.org/10.65096/pmb.v2i02.1285

Keywords:

In-store live streaming, Offline purchase intentions, Influencer marketing, Consumer attitudes

Abstract

Introduction- Based on previous literature, in-store live streaming has gained immense popularity in the Chinese market, providing interactive engagement for consumers. This study investigates how in-store live streaming influences Indonesian consumers' desire to make in-person purchases, considering different retail environments and influencer characteristics in the Indonesian market. In this research, we add the variable of Consumers Attitude toward Platform Interactivity, in addition to the previous two variables, Consumers Attitude toward In-Store Influencer and Consumers Attitude toward Product in the organism in the SOR model.

Review of Literature and Hypotheses Development- The present research employs the Stimulus-Organism-Response (SOR) model to examine the influences of informativeness, wishful identification, para-social interaction, and customer inspiration on consumers’ perceptions of influencers, products, and platform interactivity.

Research Method-. This research examines how in-store live streaming influences consumers' offline purchase intent in Indonesia. A survey of 300 live stream viewers measured perceptions of the influencer, product, and platform, along with offline purchase motivation. Findings from exploratory factor and regression analysis reveal that an informative, interactive, and inspiring streaming session positively affects attitudes and buying intent.

Results and Discussion- The majority of respondents were 26-35 year old employed females with an undergraduate degree and monthly income below IDR 16 million. Shopee (38%) and TikTok (37%) were the most used platforms for viewing live streams. Exploratory factor analysis confirmed scale validity and reliability. Regression analysis revealed informative and inspirational streaming content positively influences attitudes towards the influencer and product, driving key purchase motivation. An engaging platform also reinforces buying intent. These findings indicate live commerce can effectively stimulate offline sales in Indonesia.

Conclusion- The research examines the impact of in-store live streaming on consumer purchase decisions in Indonesia. Results reveal a positive relationship between informativeness, wishful identification, para-social interaction, and inspiration with attitudes toward influencers, products, and platforms. Positive perceptions of influencers and products lead to increased offline purchase intent after live streaming. Moreover, interactive platforms contribute to motivating offline purchases. Implementing an effective in-store live streaming strategy can effectively enhance offline purchase intentions.

References

Agnihotri, A., & Bhattacharya, S. (2021). Endorsement effectiveness of celebrities versus social media influencers in the materialistic cultural environment of India. J. Int. Consum. Market, 33(3), 280–302.

Ang, T., Wei, S., & Anaza, N. A. (2018). Livestreaming vs pre-recorded: How social viewing strategies impact consumers’ viewing experiences and behavioral intentions. European Journal of Marketing, 52(9–10), 2075–2104. https://doi.org/10.1108/EJM-09-2017-0576

Bottger, T., Rudolph, T., Evanschitzky, H., & Pfrang, T. (2017). Customer inspiration: conceptualization, scale development, and validation. J. Market, 81(6), 116–131.

Chetioui, Y., Benlafqih, H., & Lebdaoui, H. (2020). How fashion influencers contribute to consumers’ purchase intention. J. Fash. Mark. Manag., 24(3), 361–380.

Cheung, C., & Thadani, D. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54, 461–470. https://doi.org/10.1016/j.dss.2012.06.008

Clement Addo, P., Fang, J., Asare, A. O., & Kulbo, N. B. (2021). Customer engagement and purchase intention in live-streaming digital marketing platforms: 实时流媒体数字营销平台中的客户参与和购买意向. Service Industries Journal, 41(11–12), 767–786. https://doi.org/10.1080/02642069.2021.1905798

Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.

Fu, S., Chen, X., & Zheng, H. (2021). Exploring an adverse impact of smartphone overuse on academic performance via health issues: a stimulus-organism-response perspective. Behav. Inf. Technol., 40(7), 663–675.

Ganesh, J., Reynolds, K., Luckett, M., & Pomirleanu, N. (n.d.). Online shopper motivations, and e-store attributes: an examination of online patronage behavior and shopper typologies. J. Retailing, 86(1), 106–115.

Gao, W., Fan, H., Li, W., & Wang, H. (2021). Crafting the customer experience in omnichannel contexts: The role of channel integration. Journal of Business Research, 126, 12–22. https://doi.org/10.1016/j.jbusres.2020.12.056

Hair, J. F., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling. In PLS-SEM). Sage publications.

Hartmann, T., & Goldhoorn, C. (2011). Horton and Wohl revisited: exploring viewers’ experience of parasocial interaction. J. Commun, 61(6), 1104–1121.

Hoffner, C., & Buchanan, M. (2005). Young adults’ wishful identification with television characters: the role of perceived similarity and character attributes. Media Psychol, 7(4), 325–351.

Hu, M., & Chaudhry, S. S. (2020). Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Research, 30(3), 1019–1041. https://doi.org/10.1108/INTR-03-2019-0082

Hussain, S., Li, Y., & Li, W. (2021). Influence of platform characteristics on purchase intention in social commerce: mechanism of psychological contracts. Journal of Theoretical and Applied Electronic Commerce Research, 16(1), 1–17. https://doi.org/10.4067/S0718-18762021000100102

Izogo, E., & Mpinganjira, M. (2020). Behavioral consequences of customer inspiration: the role of social media inspirational content and cultural orientation. J. Res. Indian Med., 14(4), 431–459.

Kang, H. J., Shin, J. hye, & Ponto, K. (2020). How 3D Virtual Reality Stores Can Shape Consumer Purchase Decisions: The Roles of Informativeness and Playfulness. Journal of Interactive Marketing, 49, 70–85. https://doi.org/10.1016/j.intmar.2019.07.002

Kim, H., Ko, E., & Kim, J. (2015). SNS users’ para-social relationships with celebrities: social media effects on purchase intentions. J. Glob. Scholars Mark. Sci., 25(3), 279–294.

Kline, R. B. (2005). Principles and Practice of Structural Equation Modeling (2nd ed.). Guilford.

Liu, G. H. W., Sun, M., & Lee, N. C. A. (2021). How can live streamers enhance viewer engagement in eCommerce streaming? Proceedings of the Annual Hawaii International Conference on System Sciences, 2020-January, 3079–3089. https://doi.org/10.24251/hicss.2021.375

Park, H., & Lin, L. (2020). The effects of match-ups on the consumer attitudes toward internet celebrities and their live streaming contents in the context of product endorsement. J. Retailing Consum. Serv., 52.

Reinikainen, H., Munnukka, J., Maity, D., & Luoma-aho, V. (2020). You really are a great big sister. --Parasocial Relationships, Credibility, and the Moderating Role of Audience Comments in Influencer Marketing. J. Market. Manag, 36(3–4), 279–298.

Rotzoll, K. B., Haefner, J. E., & Sandage, C. H. (1986). Advertising in contemporary society: perspectives toward understanding. South-Western Pub. Co.

Schouten, A. J. (2020). Celebrity vs. Influencer Endorsements in Advertising: The Role of Identification, Credibility, and Product-Endorser Fit. Int. J. Advert, 39(2), 258–281.

Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. J. Retailing Consum, Serv., 53.

Vazquez, D., Wu, X., Nguyen, B., Kent, A., Gutierrez, A., & Chen, T. (2020). Investigating narrative involvement, parasocial interactions, and impulse buying behaviours within a second screen social commerce context. Int. J. Inf. Manag., 53.

Williams, B., Onsman, A., & Brown, T. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine.

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. https://doi.org/10.1016/j.jbusres.2018.08.032

Wongkitrungrueng, A., Dehouche, N., & Assarut, N. (2020). Live streaming commerce from the seller’s perspective: implications for online relationship marketing. Journal of Marketing Management. https://doi.org/10.1080/0267257X.2020.1748895

Xu, X., Wu, J. H., & Li, Q. (2020). What drives consumer shopping behavior in live streaming commerce? J. Electron. Commer. Res., 21(3), 144–167.

Xueli Wang, Nadilai Aisihaer, & Aihetanmujiang Aihemaiti. (2022). Research on the impact of live streaming marketing by online influencers on consumer purchasing intentions.

Zhang, P., Chao, C. W. (Fred), Chiong, R., Hasan, N., Aljaroodi, H. M., & Tian, F. (2023). Effects of in-store live stream on consumers’ offline purchase intention. Journal of Retailing and Consumer Services, 72. https://doi.org/10.1016/j.jretconser.2023.103262

Zhu, L., Li, H., Wang, F. K., He, W., & Tian, Z. (2020). How online reviews affect purchase intention: a new model based on the stimulus-organism-response (SOR) framework. Aslib J. Inf. Manag., 72(4), 463–488.

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Published

03/20/2024

How to Cite

Kurnia Chris Pradana Wicaksono, Denise Theresia Laurena, Annisa Fathurrohmah, Junnany, & Ronald Octavianus. (2024). PURCHASE DECISION EFFECTS OF IN STORE LIVE STREAMING IN INDONESIA. Jurnal Pijar, 2(02), 223–237. https://doi.org/10.65096/pmb.v2i02.1285