The Influence of IT Affordance and Customer Engagement on Actual Purchase in Tiktok Live Commerce in Indonesia

Authors

  • Yonatan Chondro Nugroho Universitas Sebelas Maret
  • Catur Sugiarto Universitas Sebelas Maret

DOI:

https://doi.org/10.37385/ijedr.v5i4.6458

Keywords:

Information Technology, Consumer Engagement, Live Commerce Tiktok

Abstract

This research aims to analyze the influence of information technology affordability (IT affordance) on consumer behavior in live commerce on the TikTok application, with a focus on the role of customer engagement as an intervening variable. Using quantitative methods with a descriptive and survey approach, data was collected through questionnaires distributed online to 420 respondents who were users of the live shopping feature on TikTok. The analysis results show that various IT affordance factors, including visibility, meta voicing, guided shopping, trading, triggered attending, and social connecting, have a significant effect on consumer engagement (flow, trust, and interactivity). Furthermore, consumer involvement has been proven to influence purchase intention, which ultimately has an impact on actual purchases. The implications of this research provide insight for developers and business actors in designing more effective online sales strategies, taking into account the importance of interaction and trust in improving consumer experience and encouraging purchases on live commerce platforms. This research also provides a reference for further research to explore other factors that influence consumer behavior in the context of e-commerce.

References

Azhari, C. T., & Hasanah, Y. N. (2023). The Influence of Information Technology Affordance on Purchase Intention: Case of TikTok Live Streaming Shopping. Economics and Digital Business Review, 4(2), 216–223. https://doi.org/10.37531/ECOTAL.V4I2.652

Bygstad, B., Munkvold, B. E., & Volkoff, O. (2016). Identifying generative mechanisms through affordances: A framework for critical realist data analysis. Journal of Information Technology, 31(1), 83–96. https://doi.org/10.1057/JIT.2015.13/METRICS

Cabiddu, F., Carlo, M. De, & Piccoli, G. (2014). Social media affordances: Enabling customer engagement. Annals of Tourism Research, 48, 175–192. https://doi.org/10.1016/J.ANNALS.2014.06.003

Cai, J., & Wohn, D. Y. (2019). Live Streaming Commerce: Uses and Gratifications Approach to Understanding Consumers’ Motivations. Hawaii International Conference on System Sciences 2019 (HICSS-52). https://aisel.aisnet.org/hicss-52/dsm/live_streaming_services/3

Cao, J., Li, J., Wang, Y., & Ai, M. (2022). The Impact of Self-Efficacy and Perceived Value on Customer Engagement under Live Streaming Commerce Environment. Security and Communication Networks, 2022. https://doi.org/10.1155/2022/2904447

Chen, C. C., & Yao, J. Y. (2018). What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model. Telematics and Informatics, 35(5), 1249–1262. https://doi.org/10.1016/J.TELE.2018.02.007

Chen, Y., & Chang, S. (2021). The Effect of Influencer Influence on Recommendation Intention: Focused on TikTok Live Commerce in China. IJASC, 3(3), 15–26. https://www.earticle.net/Article/A407395

Cooper dan Schindler. (2014). Business Research Method 12th edition. New York: McGrawHill

Dong, X., & Wang, T. (2018). Social tie formation in Chinese online social commerce: The role of IT affordances. International Journal of Information Management, 42, 49–64. https://doi.org/10.1016/j.ijinfomgt.2018.06.002

Dong, X., Wang, T., & Benbasat, I. (2016). Measuring IT affordance in OSC IT Affordances in Online Social Commerce: Conceptualization Validation and Scale Development Full papers. In Americas Conference on Information Systems (Issue 1).

Ghozali, I. (2014). SEM alternative method using Partial Least Squares (PLS). Semarang: Diponegoro University Publishing Agency. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=SEM+Alternative+Method+using+Partial+Least+Squares+%28PLS%29+I+Ghozali+&btnG=

Gunawan, H., & Ayuningtiyas, K. (2018). The Influence of Trust, Convenience and Quality of Information on Online Purchasing Decisions in the Bukalapak Application among Batam State Polytechnic Students. Journal Of Applied Business Administration, 2(1), 152–165. https://doi.org/10.30871/JABA.V2I1.763

Guo, L., Hu, X., Lu, J., & Ma, L. (2021). Effects of customer trust on engagement in live streaming commerce: mediating role of swift guanxi. Internet Research, 31(5), 1718–1744. https://doi.org/10.1108/INTR-02-2020-0078/FULL/XML

Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2019). Multivariate Data Analysis, Multivariate Data Analysis. Book, 87(4), 611–628. https://digitalcommons.kennesaw.edu/facpubs/2925

Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modelling (PLS-SEM) using R: A workbook (p. 197). Springer Nature

Hu, M., Zhang, M., & Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification framework. Computers in Human Behavior, 75, 594–606. https://doi.org/10.1016/J.CHB.2017.06.006

Kang, K., Lu, J., Guo, L., & Li, W. (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. https://doi.org/10.1016/J.IJINFOMGT.2020.102251

Keel, A., & Nataraajan, R. (2012). Celebrity Endorsements and Beyond: New Avenues for Celebrity Branding. Psychology and Marketing, 29(9), 690–703. https://doi.org/10.1002/MAR.20555

Koo, H. (2018). Factors affecting streamers’ loyalty to live streaming platforms. http://hdl.handle.net/10419/190353

Lee, C.-H., Chen, C.-W., Qi, J., & Širca, N. T. (2021). Impulse Buying Behaviours in Live Streaming Commerce Based on the Stimulus-Organism-Response Framework. Information 2021, Vol. 12, Page 241, 12(6), 241. https://doi.org/10.3390/INFO12060241

Li, D., Zhang, G., Xu, Z., Lan, Y., Shi, Y., Liang, Z., & Chen, H. (2018). Modelling the roles of cewebrity trust and platform trust in consumers’ propensity of live-streaming: An extended TAM method. Computers, Materials and Continua, 55(1), 137–150. https://doi.org/10.3970/cmc.2018.055.137

Liao, J., Chen, K., Qi, J., Li, J., & Yu, I. Y. (2023). Creating immersive and parasocial live commerce experience for viewers: the role of streamers’ interactional communication style. Journal of Research in Interactive Marketing, 17(1), 140–155. https://doi.org/10.1108/JRIM-04-2021-0114/FULL/XML

Liu, H., Chu, H., Huang, Q., & Chen, X. (2016). Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce. Computers in Human Behavior, 58, 306–314. https://doi.org/10.1016/J.CHB.2016.01.012

Lu, B., & Chen, Z. (2021). Live streaming commerce and consumers’ purchase intention: An uncertainty reduction perspective. Information & Management, 58(7), 103509. https://doi.org/10.1016/J.IM.2021.103509

Ma, A. K. F., Liao, W., & Liu, Z. (2022). The Future of e-Commerce: Live Stream Shopping and Purchase Intention Post-COVID-19. International Journal of Electronic Commerce Studies, 13(3), 147–184. https://doi.org/10.7903/ijecs.2129

Ma, L., Gao, S., & Zhang, X. (2022). How to Use Live Streaming to Improve Consumer Purchase Intentions: Evidence from China. Sustainability (Switzerland), 14(2). https://doi.org/10.3390/su14021045

Maharani, S., Made Bayu Dirgantara, I., & Diponegoro, U. (2023). Factors That Influence Immersion During Live Streaming Syaria Shopping and Their Influence on Purchase Interest (Study on Social Commerce Tik Tok Indonesia). Scientific Journal of Islamic Economics, 9(2), 2942–2955. https://doi.org/10.29040/JIEI.V9I2.9854

Moslehpour, M., Odgerel, E., Lin, P. K., & Dadvari, A. (2022). The Role of Internet Celebrities in Purchase Intention and Impulse Buying. International Journal of Internet Marketing and Advertising, 1(1), 1. https://doi.org/10.1504/IJIMA.2022.10047371

Org, W. I., & Chen, L. Y. (2019). The Effects of Livestream Shopping on Customer Satisfaction and Continuous Purchase Intention. INTERNATIONAL JOURNAL OF ADVANCED STUDIES IN COMPUTER SCIENCE AND ENGINEERING IJASCSE, 8.

Parchoma, G. (2014). The contested ontology of affordances: Implications for researching technological affordances for collaborative knowledge production. Computers in Human Behavior, 37, 360–368. https://doi.org/10.1016/J.CHB.2012.05.028

Saffanah, L., Handayani, P. W., & Sunarso, F. P. (2023a). Actual purchases on Instagram Live Shopping: The influence of live commerce engagement and information technology affordance. Asia Pacific Management Review, 28(2), 204–214. https://doi.org/10.1016/j.apmrv.2022.09.002

Saffanah, L., Handayani, P. W., & Sunarso, F. P. (2023b). Actual purchases on Instagram Live Shopping: The influence of live commerce engagement and information technology affordance. Asia Pacific Management Review, 28(2), 204–214. https://doi.org/10.1016/J.APMRV.2022.09.002

Saunders, M., Lewis, P. and Thornhill, A. (2016). Research Methods for Business Students. 7th Edition, Pearson, Harlow

Sekaran, U., & Bougie, R. (2017). Research Methods for Business Approaches. Skills-Development. Jakarta. Salemba Four, 1–280. http://www.penerbitsalemba.com

Sheng, C., & Yang, S.-B. (2022). The Impact of Influencer Characteristics and Platform Affordances on the Likelihood of Impulse Buying: Focusing on the Chinese TikTok Live Commerce Platform. 23(2), 278–306. https://doi.org/10.15706/JKSMS.2022.23.2.012

Solangius Mbete, G., & Tanamal, R. (n.d.). Effect of Easiness, Service Quality, Price, Trust of Quality of Information, and Brand Image of Consumer Purchase Decision on Shopee Online Purchase. 5(2), 2622–4615. https://doi.org/10.32493/informatika.v5i2.4946

Suarna, I. F. (2022). Purchase Decision pada Live Streaming Shopping Pengguna Media Sosial Tiktok di Bandung. Ekono Insentif, 16(2), 138–152. https://doi.org/10.36787/jei.v16i2.942

Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019a). How live streaming influences purchase intentions in social commerce: An IT affordance perspective. Electronic Commerce Research and Applications, 37. https://doi.org/10.1016/j.elerap.2019.100886

Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019b). How live streaming influences purchase intentions in social commerce: An IT affordance perspective. Electronic Commerce Research and Applications, 37. https://doi.org/10.1016/j.elerap.2019.100886

Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2020). A 2020 perspective on “How live streaming influences purchase intentions in social commerce: An IT affordance perspective.” Electronic Commerce Research and Applications, 40. https://doi.org/10.1016/j.elerap.2020.100958

Todd, P. R., & Melancon, J. (2018). Gender and live-streaming: source credibility and motivation. Journal of Research in Interactive Marketing, 12(1), 79–93. https://doi.org/10.1108/JRIM-05-2017-0035/FULL/XML

Tong, J. (2017). A Study on the Effect of Web Live Broadcast on Consumers’ Willingness to Purchase. Open Journal of Business and Management, 05(02), 280–289. https://doi.org/10.4236/OJBM.2017.52025

Tuncer, I. (2021). The relationship between IT affordance, flow experience, trust, and social commerce intention: An exploration using the S-O-R paradigm. Technology in Society, 65. https://doi.org/10.1016/j.techsoc.2021.101567

Turban, E., Outland, J., King, D., Lee, J. K., Liang, T.-P., & Turban, D. C. (2018). Electronic Commerce 2018. https://doi.org/10.1007/978-3-319-58715-8

Wang, S., Paulo Esperança, J., & Wu, Q. (2022). Effects of Live Streaming Proneness, Engagement and Intelligent Recommendation on Users’ Purchase Intention in Short Video Community: Take TikTok (DouYin) Online Courses as an Example. International Journal of Human–Computer Interaction, 39(15), 3071–3083. https://doi.org/10.1080/10447318.2022.2091653

Wang, Y., Lu, Z., Cao, P., Chu, J., Wang, H., & Wattenhofer, R. (2022). How Live Streaming Changes Shopping Decisions in E-commerce: A Study of Live Streaming Commerce. Computer Supported Cooperative Work: CSCW: An International Journal, 31(4), 701–729. https://doi.org/10.1007/S10606-022-09439-2/FIGURES/1

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

Xiong, J., Wang, Y., & Li, Z. (2023a). Understanding the Relationship between IT Affordance and Consumers’ Purchase Intention in E-Commerce Live Streaming: The Moderating Effect of Gender. International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447318.2023.2250607

Xiong, J., Wang, Y., & Li, Z. (2023b). Understanding the Relationship between IT Affordance and Consumers’ Purchase Intention in E-Commerce Live Streaming: The Moderating Effect of Gender. https://doi.org/10.1080/10447318.2023.2250607

Xu, P., Cui, B. J., & Lyu, B. (2022). Influence of Streamer’s Social Capital on Purchase Intention in Live Streaming E-Commerce. Frontiers in Psychology, 12, 748172. https://doi.org/10.3389/FPSYG.2021.748172/BIBTEX

Xue, J., & Liu, M. T. (2023). Investigating the live streaming sales from the perspective of the ecosystem: the structures, processes and value flow. Asia Pacific Journal of Marketing and Logistics, 35(5), 1157–1186. https://doi.org/10.1108/APJML-11-2021-0822/FULL/XML

Yan, Y., Chen, H., Shao, B., & Lei, Y. (2023). How IT affordances influence customer engagement in live streaming commerce? A dual-stage analysis of PLS-SEM and fsQCA. Journal of Retailing and Consumer Services, 74, 103390. https://doi.org/10.1016/J.JRETCONSER.2023.103390

Zhang, L., Chen, M., & Zamil, A. M. A. (2023). Live stream marketing and consumers’ purchase intention: An IT affordance perspective using the S-O-R paradigm. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1069050

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, 127, 107052. https://doi.org/10.1016/J.CHB.2021.107052

Zhang, X., Cheng, X., & Huang, X. (2022). “Oh, My God, Buy It!” Investigating Impulse Buying Behavior in Live Streaming Commerce. Https://Doi.Org/10.1080/10447318.2022.2076773. https://doi.org/10.1080/10447318.2022.2076773

Zhaoxing, W., Lee, S.-J., & Lee, K.-R. (2018). Factors Influencing Product Purchase Intention in Taobao Live Streaming Shopping. 19(4), 649–659. https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07425764

Zhou, L., Jin, F., Wu, B., Wang, X., Lynette Wang, V., & Chen, Z. (2022). Understanding the role of influencers on live streaming platforms: when tipping makes the difference. European Journal of Marketing, 56(10), 2677–2697. https://doi.org/10.1108/EJM-10-2021-0815/FULL/XML

Zhou, W., Dong, J., & Zhang, W. (2023). The impact of interpersonal interaction factors on consumers’ purchase intention in social commerce: a relationship quality perspective. Industrial Management and Data Systems, 123(3), 697–721. https://doi.org/10.1108/IMDS-06-2022-0392/FULL/HTML

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Published

2024-11-08

How to Cite

Nugroho, Y. C., & Sugiarto, C. (2024). The Influence of IT Affordance and Customer Engagement on Actual Purchase in Tiktok Live Commerce in Indonesia. International Journal of Economics Development Research (IJEDR), 5(5), 4035–4052. https://doi.org/10.37385/ijedr.v5i4.6458