Skip to main content
Log in

The intangible values of live streaming and their effect on audience engagement

  • Original Article
  • Published:
Journal of Marketing Analytics Aims and scope Submit manuscript

Abstract

Although live streaming via social media offers consumers real-time shopping experiences and potentially increases sales volume, the intangible values carried by live streaming from the streamer’s perspective are relatively unknown. Building upon the Trust Transfer Theory, this study examined the values behind Instagram live streaming that could potentially build young consumers’ trust in and engagement with social commerce sellers. Known for its visually appealing content, simplicity, speed, and mobility, Instagram is unlike other social media platform. More importantly, its targeting ability makes it an influencer dominant social media platform. Analysis using dual-stage PLS-SEM and ANN from 209 respondents revealed that utilitarian and symbolic values significantly influence trust, which subsequently builds customer engagement. Hedonic values and economic values, on the other hand, were found to play no significant role in building trust and customer engagement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Addo, P.C., J. Fang, A.O. Asare, and N.B. Kulbo. 2021. Customer engagement and purchase intention in live-streaming digital marketing platforms. Service Industries Journal 41 (11–12): 767–786.

    Article  Google Scholar 

  • Arnold, M.J., and K.E. Reynolds. 2003. Hedonic shopping motivations. Journal of Retailing 79 (2): 77–95.

    Article  Google Scholar 

  • Arora, A, D. Glaser, P. Kluge, A. Kim, S. Kohli, and N. Sak. 2021. It’s showtime! How live commerce is transforming the shopping experience, 21 July, https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/its-showtime-how-live-commerce-is-transforming-the-shopping-experience#/. Assessed 26 Jul 2023.

  • Ba, S., and P.A. Pavlou. 2002. Evidence of the effect of trust building technology in electronic markets: price premiums and buyer behavior. MIS Quarterly 26 (3): 243–268.

    Article  Google Scholar 

  • Babin, B.J., W.R. Darden, and M. Griffin. 1994. Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research 20 (4): 644–656.

    Article  Google Scholar 

  • Bagozzi, R.P., Y. Yi, and L.W. Phillips. 1991. Assessing construct validity in organizational research. Administrative Science Quarterly 36 (3): 421–458.

    Article  Google Scholar 

  • Bridges, E., and R. Florsheim. 2008. Hedonic and utilitarian shopping goals: the online experience. Journal of Business Research 61 (4): 309–314.

    Article  Google Scholar 

  • Calder, B.J., E.C. Malthouse, and U. Schaedel. 2009. An experimental study of the relationship between online engagement and advertising effectiveness. Journal of Interactive Marketing 23 (4): 321–331.

    Article  Google Scholar 

  • Cham, T.H., J.H. Cheah, H. Ting, and M.A. Memon. 2022a. Will destination image drive the intention to revisit and recommend? Empirical evidence from golf tourism. International Journal of Sports Marketing and Sponsorship 23 (2): 385–409.

    Article  Google Scholar 

  • Cham, T.H., B.L. Cheng, Y.H. Lee, and J.H. Cheah. 2022b. Should I buy or not? Revisiting the concept and measurement of panic buying. Current Psychology. https://doi.org/10.1007/s12144-022-03089-9.

    Book  Google Scholar 

  • Chandrruangphen, E., N. Assarut, and S. Sinthupinyo. 2022. The effects of live streaming attributes on consumer trust and shopping intentions for fashion clothing. Cogent Business & Management 9 (1): 2034238.

    Article  Google Scholar 

  • Chen, C. Der., Q. Zhao, and J.L. Wang. 2020. How livestreaming increases product sales: role of trust transfer and elaboration likelihood model. Behaviour and Information Technology 41 (3): 558–573.

    Article  Google Scholar 

  • Chen, Z., and A.J. Dubinsky. 2003. A conceptual model of perceived customer value in e-commerce: a preliminary investigation. Psychology & Marketing 20 (4): 323–347.

    Article  Google Scholar 

  • Chiu, C.M., E.T. Wang, Y.H. Fang, and H.Y. Huang. 2012. Understanding customers’ repeat purchase intentions in B2C e-commerce: the roles of utilitarian value, hedonic value and perceived risk. Information System Journal 24 (1): 85–114.

    Article  Google Scholar 

  • Choi, K., Y. Wang, and B. Sparks. 2019. Travel app users’ continued use intentions: it’s a matter of value and trust. Journal of Travel and Tourism Marketing 36 (1): 131–143.

    Article  Google Scholar 

  • Choo, H.J., H. Moon, H. Kim, and N. Yoon. 2012. Luxury customer value. Journal of Fashion Marketing and Management: An International Journal 16 (1): 81–101.

    Article  Google Scholar 

  • Chow, S.S.W.S. 2015. Trust development and transfer in social commerce: prior expreince as moderator. Industrial Management and Data Systems 115 (7): 1182–1203.

    Article  Google Scholar 

  • Cohen, J. 1988. Statistical power analysis for the behavioral sciences, 2nd ed. New York: Routledge.

    Google Scholar 

  • Duman, T., and A.S. Mattila. 2005. The role of affective factors on perceived cruise vacation value. Tourism Management 26 (3): 311–323.

    Article  Google Scholar 

  • El Hedhli, K., J.C. Chebat, and M.J. Sirgy. 2013. Shopping well-being at the mall: construct, antecedents, and consequences. Journal of Business Research 66 (7): 856–863.

    Article  Google Scholar 

  • Fam, K.S., B.L. Cheng, T.H. Cham, C.Y.M. Tan, and H. Ting. 2023. The role of cultural differences in customer retention: evidence from the high-contact service industry. Journal of Hospitality & Tourism REsearch 47 (1): 257–288.

    Article  Google Scholar 

  • Featherman, M.S., J.S. Valacich, and J.D. Wells. 2006. Is that authentic or artificial? Understanding consumer perceptions of risk in e-service encounters. Information System Journal 16 (2): 107–134.

    Article  Google Scholar 

  • Fiore, A.M., H.-J. Jin, and J. Kim. 2005. For fun and profit: hedonic value from image interactivity and responses toward and online store. Psychology and Marketing 22 (8): 669–694.

    Article  Google Scholar 

  • Fornell, C., and D.F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1): 39–50.

    Article  Google Scholar 

  • Gefen, D., E. Karahanna, and D.W. Straub. 2003. Trust and TAM in online shopping: an integrated model. MIS Quarterly 27 (1): 51–90.

    Article  Google Scholar 

  • Gummerus, J., V. Liljander, M. Pura, and A.V. Riel. 2004. Customer loyalty to content-based web sites: the case of an online health-care service. Journal of Services Marketing 18 (3): 175–186.

    Article  Google Scholar 

  • Habibi, M.R., M. Laroche, and M.O. Richard. 2014. The roles of brand community and community engagement in building brand trust on social media. Computers in Human Behavior 37: 152–161.

    Article  Google Scholar 

  • Hair, J.F., G.T.M. Hult, C. Ringle, and M. Sarstedt. 2014. A primer on partial least squares structural equation modeling (PLS-SEM), 1st ed. Thousand Oaks: Sage.

    Google Scholar 

  • Hair, J.F., G.T.M. Hult, C.M. Ringle, and M. Sarstedt. 2017. A primer on partial least squares structural equation modeling (PLS-SEM), 2nd ed. Thousand Oaks: Sage.

    Google Scholar 

  • Hair, J.F., C.M. Ringle, and M. Sarstedt. 2011. PLS-SEM: indeed a silver bullet. The Journal of Marketing Theory and Practice 19 (2): 139–152.

    Article  Google Scholar 

  • Hair, J.F., J.J. Risher, M. Sarstedt, and C.M. Ringle. 2019. When to use and how to report the results of PLS-SEM. European Business Review 31 (1): 2–24.

    Article  Google Scholar 

  • Hair, J.F., M. Sarstedt, C.M. Ringle, and S.P. Gudergan. 2018. Advanced issues in partial least squares structural equation modelling, 3rd ed. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Hansen, M.H., J.L. Morrow Jr., and J.C. Batista. 2002. The impact of trust on cooperative membership retention, performance, and satisfaction: an exploratory study. The International Food and Agribusiness Management Review 5 (1): 41–59.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Hilvert-Bruce, Z., J.T. Neill, M. Sjoblom, and J. Hamari. 2018. Social motivations of live-streaming viewer engagaement on Twitch. Computers in Human Behavior 84: 58–67.

    Article  Google Scholar 

  • Hu, M., and S.S. Chaudhry. 2020. Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Research 30 (3): 1019–1041.

    Article  Google Scholar 

  • Hu, M., M. Zhang, and Y. Wang. 2017. Why do audience choose to kepp watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior 75: 594–606.

    Article  Google Scholar 

  • Hwang, Y., and D.J. Kim. 2007. Customer self-service systems: the effects of perceived web quality with service contents on enjoyment, anxiety, and e-trust. Decision Support Systems 43 (3): 746–760.

    Article  Google Scholar 

  • Jarvenpaa, S.L., N. Tractinsky, and M. Vitale. 2000. Consumer trust in an internet store. Information Technology and Mangement 1: 45–71.

    Google Scholar 

  • Kadekova, Z., and M. Holienciova. 2018. Influencer marketing as a modern phenomenon creating a new frontier of virtual opportunities. Communication Today 9 (2): 90–105.

    Google Scholar 

  • Kang, K., J. Lu, L. Guo, and W. Li. 2021. The dynamic effect of interactivity on customer engagement behavior through tie strength: evidence from live streaming commerce platforms. International Journal of Information Management 56: 102251.

    Article  Google Scholar 

  • Kim, S.Y., J.U. Kim, and S.C. Park. 2017. The effects of perceived value, website trust and hotel trust on online hotel booking intention. Sustainability 9 (12): 2262.

    Article  Google Scholar 

  • Kim, S., and H. Park. 2013. Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management 33 (2): 318–332.

    Article  Google Scholar 

  • Kim, Y., and R.A. Peterson. 2017. A meta-analysis of online trust relationship in e-commerce. Journal of Interactive Marketing 38: 44–54.

    Article  Google Scholar 

  • Kock, N. 2015. Common method bias in PLS-SEM: a full collinearity assessment approach. International Journal of e-Collaboration (IJeC) 11 (4): 1–10.

    Article  Google Scholar 

  • Kuan, H.-H., and G.-W. Bock. 2007. Trust transference in brick and click retailers: an investigation of the before-online-visit phase. Information and Management 44 (2): 175–187.

    Article  Google Scholar 

  • Kumar, A., and A.K. Kashyap. 2018. Leveraging utilitarian perspective of online shopping to motivate online shoppers. International Journal of Retail and Distribution Management 46 (3): 247–263.

    Article  Google Scholar 

  • Lacap, J.P.G., T.H. Cham, and X.J. Lim. 2021. The influence of corporate social responsibility on brand loyalty and the mediating effects of brand satisfaction and perceived quality. International Journal of Economics & Management 15 (1): 69–87.

    Google Scholar 

  • Lee, H.-H., J. Kim, and A.M. Fiore. 2010. Affective and cognitive online shopping experience: effects of image interactivity technology and experimenting with appearance. Clothing and Textiles Research Journal 28 (2): 140–154.

    Article  Google Scholar 

  • Leung, W.K.S., S. Shi, and W.S. Chow. 2019. Impacts of user interactions on trust development in C2C social commerce: the central role of reciprocity. Internet Research 30 (1): 335–356.

    Article  Google Scholar 

  • Li, F., E.C.X. Aw, G.W.H. Tan, T.H. Cham, and K.B. Ooi. 2022. The Eureka moment in understanding luxury brand purchases! A non-linear fsQCA-ANN approach. Journal of Retailing and Consumer Services 68: 103039. https://doi.org/10.1016/j.jretconser.2022.103039.

    Article  Google Scholar 

  • Liu, Y. 2003. Developing a scale to measure the interactivity of websites. Journal of Advertising Research 43 (2): 207–216.

    Article  Google Scholar 

  • Low, M.P., T.H. Cham, Y.S. Chang, and X.J. Lim. 2021. Advancing on weighted PLS-SEM in examining the trust-based recommendation system in pioneering product promotion effectiveness. Quality & Quantity. https://doi.org/10.1007/s11135-021-01147-1.

    Article  Google Scholar 

  • Lu, Y., L. Zhao, and B. Wang. 2010. From virtual community members to C2C e-commerce buyers: trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications 9 (4): 346–360.

    Article  Google Scholar 

  • McLachlan, S. 2022. 35 instagram stats that matter to marketers in 2022, Hootsuite, 18 January. https://blog.hootsuite.com/instagram-statistics/. Accessed 18 Aug 2022.

  • Nghia, H.T., S.O. Olsen, and N.T.M. Trang. 2020. Shopping value, trust, and online shopping well-being: a duality approach. Marketing Intelligence and Planning 38 (5): 545–558.

    Article  Google Scholar 

  • Nicholson, C.Y., L.D. Compeau, and R. Sethi. 2001. The role of interpersonal liking in building trust in long-term channel relationships. Journal of the Academy of Marketing 29 (3): 3–15.

    Article  Google Scholar 

  • Nitzl, C., J.L. Roldan, and G. Cepeda. 2016. Mediation analysis in partial least squares path modeling: helping researchers discuss more sophisticated models. Industrial Management & Data Systems 116 (9): 1849–1864.

    Article  Google Scholar 

  • Olenski, S. 2017. The impact of live streaming on influencer marketing. Forbes, 25 September 25. https://www.forbes.com/sites/steveolenski/2017/09/25/the-impact-of-live-streaming-on-influencer-marketing/?sh=100b63c8e607. Accessed 2 Jul 2021.

  • Pansari, A., and V. Kumar. 2017. Customer engagement: the construct, antecedents, and consequences. Journal of the Academy of Marketing Science 45 (3): 294–311.

    Article  Google Scholar 

  • Park, J., J. Park, and S. Ezell. 2017. The impact of customers’ direct and indirect experience on e-trust. In The customer is NOT always right? Marketing orientations in a dynamic business world. Developments in marketing science. Proceedings of the academy of marketing science, ed. C.L. Campbell, 726–732 Cham: Springer.

  • Pavlou, P.A., and D. Gefen. 2004. Building effective online marketplaces with institution-based trust. Information System Research 15 (1): 37–59.

    Article  Google Scholar 

  • Ramayah, T., J. Cheah, F. Chuah, H. Ting, and M.A. Memon. 2018. Partial least squares structural equation modelling (PLS-SEM) using SMARTPLS 3.0: an updated and practical guide to statistical analysis, 2nd ed. Malaysia: Pearson.

    Google Scholar 

  • Ringle, C.M., M. Sarstedt, R. Mitchell, and S.P. Gudergan. 2018. Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management 31 (2): 1617–1643.

    Google Scholar 

  • Rintamaki, T., A. Kanto, H. Kuusela, and M.T. Spence. 2006. Decomposing the value of department store shopping into utilitarian, hedonic and social dimension. International Journal of Retail and Distribution Management 34 (1): 6–24.

    Article  Google Scholar 

  • Sánchez-Fernández, Raquel, and M.A. Iniesta-Bonillo. 2007. The concept of perceived value: a systematic review of the research. Marketing Theory 7 (4): 427–451.

    Article  Google Scholar 

  • Santora, J. 2022. Key influencer marketing statistics you need to know for 2022. Influencer marketing Hub, 3 August, https://influencermarketinghub.com/influencer-marketing-statistics/. Accessed 18 Aug 2022.

  • Sashi, C. 2012. Customer engagement, buyer-seller relationships, and social media. Management Decision 50 (2): 253–272.

    Article  Google Scholar 

  • Shmueli, G., M. Sarstedt, J.F. Hair, J.-H. Cheah, H. Ting, S. Vaithilingam, and C.M. Ringle. 2019. Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing 53 (11): 2322–2347.

    Article  Google Scholar 

  • Singh, S., N. Singh, Z. Kalinić, and F.J. Liébana-Cabanillas. 2021. Assessing determinants influencing continued use of live streaming services: an extended perceived value theory of streaming addiction. Expert Systems with Applications 68: 114241.

    Article  Google Scholar 

  • Smith, J.B., and M. Colgate. 2007. Customer value creation: a practical framework. Journal of Marketing Theory and Practice 15 (1): 7–23.

    Article  Google Scholar 

  • Song, J.H., and G.M. Zinkhan. 2008. Determinants of perceived web site interactivity. Journal of Marketing 72 (2): 99–113.

    Article  Google Scholar 

  • Stewart, K.J. 2003. Trust transfer on the world wide web. Organization Science 14 (1): 5–17.

    Article  Google Scholar 

  • Swan, J.E., and J.J. Nolan. 1985. Gaining customer trust: A conceptual guide for the salesperson. Journal of Personal Selling & Sales Management 5 (2): 39–48.

  • Tan, J.X., T.H. Cham, D. Zawawi, and Y.A. Aziz. 2019. Antecedents of organizational citizenship behavior and the mediating effect of organization commitment in the hotel industry. Asian Journal of Business Research 9 (2): 121–139.

    Google Scholar 

  • Tehseen, S., T. Ramayah, and S. Sajilan. 2017. Testing and controlling for common method variance: a review of available methods. Journal of Management Sciences 4 (2): 142–168.

    Article  Google Scholar 

  • Thakur, R. 2018. Customer engagement and online reviews. Journal of Retailing and Consumer Services 41: 48–59.

    Article  Google Scholar 

  • Todd, P.R., and J. Melancon. 2018. Gender and live-streaming: source credibility and motivation. Journal of Research in Interactive 12 (1): 79–93.

    Google Scholar 

  • Tu, W., C. Yan, Y. Yan, X. Ding, and L. Sun. 2018. Who is earning? Understang and modeling the virtual gifts behavior of users in live-streaming economy. In Proceedings of the conference on multimedia information processing and retrieval (MIPR), Miami, FL, USA, 10–12 April 2018, 118–123. New York: IEEE.

  • Tynan, C., S. McKechnie, and C. Chhuon. 2010. Co-creating value for luxury brands. Journal of Business Research 63 (11): 1156–1163.

    Article  Google Scholar 

  • Vohra, A., and N. Bhardwaj. 2019. From active participation to engagement in online communities: analysing the mediating role of trust and commitment. Journal of Marketing Communications 25 (1): 89–114.

    Article  Google Scholar 

  • Wiedmann, K., N. Hennings, and A. Siebels. 2009. Value-based segmentation of luxury consumption behavior. Psychology and Marketing 26 (7): 625–635.

    Article  Google Scholar 

  • Wohn, D. Y., G. Freeman, and C. Mclaughlin. 2018 Explaning viewers' emotional, instrumental, and financial support provision for live streamers. In Proceedings of the 2018 CHI conference on human factors in computing systems, 21–26 April 2018. Montréal: Association for Computing Machinery.

  • Wongkitrungrueng, A., and N. Assarut. 2020. The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research 117: 543–556.

    Article  Google Scholar 

  • Wongkitrungrueng, A., N. Dehouche, and N. Assarut. 2020. Live streaming commerce from the sellers’ perspective: implications for online relationship marketing. Journal of Marketing Management 36 (5–6): 488–518.

    Article  Google Scholar 

  • Xue, J., X. Liang, T. Xie, and H. Wang. 2020. See now, act now: how to interact with customers to enhance social commerce engagement? Information and Management 57 (6): 103324.

    Article  Google Scholar 

  • Yahia, I.B., N. Al-Neama, and L. Kerbache. 2018. Investigating the drivers for social commerce in social media platforms: importance of trust, social support and the platform perceived usage. Journal of Retailing and Consumer Services 41: 11–19.

    Article  Google Scholar 

  • Yrjölä, M., S. Rintamäki, and Joensuu. 2017. Consumer-to-consumer e-commerce: outcomes and implications. International Review of Retail, Distribution and Consumer Research 27 (3): 300–315.

    Google Scholar 

  • Zeithaml, V.A., L.L. Berry, and A. Parasuraman. 1996. The behavioral consequences of service quality. Journal of Marketing 60 (2): 31–46.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tat-Huei Cham.

Ethics declarations

Conflict of interest

There is no conflict of interest among the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix 1: measurement items

Appendix 1: measurement items

Constructs

Items

Customer engagement

CE1

I am likely to revisit the seller's page to watch their new live videos in the near future

CE2

I would be likely to try and keep track of the activities of a seller that uses Instagram Live

CE3

I am likely to recommend sellers that use Instagram Live to my friends

CE4

In the near future, I will definitely buy products from a seller that uses Instagram Live

CE5

I would become a fan and a follower of a page that uses Instagram Live

CE6

I encourage friends and relatives to do business with a seller that uses Instagram Live

CE7

In the near future, I will definitely buy apparels from a seller that uses Instagram Live

CE8

I consider a seller that uses Instagram Live to be my first choice when buying this kind of product

Economic value

EV1

It is worth the economic investment to buy apparels sold through Instagram live streaming

EV2

In general, I am satisfied with the price of the apparels that sell in Instagram live

EV3

The apparels sold on Instagram Live are worth their high price

Hedonic value

HV1

Shopping through Instagram Live is entertaining

HV2

I enjoy shopping via Instagram Live

HV3

While shopping via Instagram Live, I feel a sense of adventure

HV4

Shopping through Instagram Live is a way of relieving stress

HV5

I am able to do a lot of fantasizing while watching Instagram Live

HV6

While shopping through Instagram Live, I am able to forget my problems

HV7

Shopping via Instagram Live is a thrill for me

HV8

Activities (e.g., flash sales, freebies) on Instagram Live get me excited

HV9

I enjoy getting a great deal when I shop via Instagram Live

Symbolic value

SV1

Shopping through Instagram Live makes me feel as though I'm trendy

SV2

I feel that I can identify with the seller

SV3

I feel that the seller recognizes me and remembers my preferences

SV4

I can find apparels that are consistent with my style when I shop via Instagram Live

SV5

I can infer social acceptance of products from other customers' comments during the live stream

SV6

I am eager to tell my friends/acquaintances about this live shopping

SV7

I feel that the seller has the same taste as me

SV8

I feel that I belong to the customer segment of the seller's Instagram page

SV9

I can infer social acceptance of apparels from other customers' comments during the live stream

Trust in seller

TS1

I believe in the information that the seller provides through live streaming

TS2

I can trust Instagram sellers that use live streaming

TS3

I believe that Instagram sellers who use live streaming are trustworthy

TS4

I do not think that Instagram sellers who use live streaming would take advantage of me

Utilitarian value

UV1

Sellers that sell through Instagram Live seem like real merchants

UV2

Products sold through Instagram Live appear to be authentic

UV3

The way a product is presented via Instagram Live (e.g., a seller's try-on) helps me to visualize the appearance of the product on a real figure

UV4

I am able to easily see and visualise the product as it appears on Instagram Live

UV5

The way an apparel is presented online gives me as much sensory information about the apparel as I would experience in a store

UV6

Apparels sold through Instagram Live seem genuine to me

UV7

I feel that I can ask the seller selling via Instagram Live to find apparels I want

UV8

Apparels sold through Instagram Live tend to be up-to-date and on-trend

UV9

The online seller asks and gathers customer feedback directly via Instagram Live

UV10

Via Instagram Live, the online seller answers my questions immediately

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Leong, K.Y., Ho, J.S.Y., Tehseen, S. et al. The intangible values of live streaming and their effect on audience engagement. J Market Anal (2023). https://doi.org/10.1057/s41270-023-00247-1

Download citation

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1057/s41270-023-00247-1

Keywords

Navigation