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Effect of Modified Livecommercescapes on Repurchase Intention: Mediating Roles of Perceived Usefulness and Flow

수정된 라이브커머스 스케이프가 재구매의도에 미치는 영향: 지각된 유용성과 플로우의 매개역할

  • Sang-Min KIM (School of Business, Major in ESG Management, Sejong University) ;
  • Jae-Myung HWANG (School of Business, Major in ESG Management, Sejong University) ;
  • Young-Won KIM (School of Business, Major in ESG Management, Sejong University)
  • 김상민 ;
  • 황재명 ;
  • 김영원
  • Received : 2024.04.15
  • Accepted : 2024.04.26
  • Published : 2024.06.30

Abstract

Purpose: This study used the SOR model to analyze the impact of live commerce's modified livecommercescape factors (interactivity, presence, playfulness, convenience, and broadcaster characteristics) on repurchase intention through usefulness and flow. Research design, data, and methodology: 1,149 respondents with live commerce purchase experience were collected through an online survey, and the collected data was analyzed with SPSS 25.0 and SmartPLS 4.0 statistical package programs. Results: Presence and playfulness were found to have the highest influence on flow and usefulness. In particular, Presence and broadcaster characteristics were found to be the factors that had the greatest influence on flow. Playfulness was found to have the greatest impact on usefulness, and two-way communication was found to have the lowest influence among the five servicescape factors. Broadcaster characteristics also affect flow but not usefulness, and convenience only affects usefulness and does not affect flow. Flow shows results that affect usefulness and repurchase intention. Conclusion: Our findings provide a richer understanding of causal relationships within the SOR framework, demonstrating that broadcaster characteristics, two-way communication, presence, and playfulness can influence flow, perceived usefulness, and, consequently, consumer purchasing behavior.

Keywords

References

  1. Animesh, A., Pinsonneault, A., Yang, S. B., & Oh, W. (2011). An odyssey into virtual worlds: exploring the impacts of technological and spatial environments on intention to purchase virtual products. MIS Quarterly, 35(3), 789-810.
  2. Barhorst, J. B., McLean, G., Shah, E., & Mack, R. (2021). Blending the real world and the virtual world: Exploring the role of flow in augmented reality experiences. Journal of Business Research, 122, 423-436.
  3. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
  4. Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57-71
  5. Bonner, J. M. (2010). Customer interactivity and new product performance: Moderating effects of product newness and product embeddedness. Industrial Marketing Management, 39(3), 485-492.
  6. Brundl, S., Matt, C., Hess, T., & Engert, S. (2023). How synchronous participation affects the willingness to subscribe to social live streaming services: The role of co-interactive behavior on Twitch. European Journal of Information Systems, 32(5), 800-817.
  7. Busch, J., Steinberger, J. K., Dawson, D. A., Purnell, P., & Roelich, K. (2014). Managing critical materials with a technology-specific stocks and flows model. Environmental Science & Technology, 48(2), 1298-1305.
  8. Butler, P., & Peppard, J. (1998). Consumer purchasing on the Internet: Processes and prospects. European Management Journal, 16(5), 600-610.
  9. Cheema, U., Rizwan, M., Jalal, R., Durrani, F., & Sohail, N. (2013). The trend of online shopping in 21st century: Impact of enjoyment in TAM Model. Asian Journal of Empirical Research, 3(2), 131-141.
  10. Chen, C. C., & Lin, Y. C. (2018). What drives live-stream usage intention? The perspectives of flow, entertainment, social interaction, and endorsement. Telematics and Informatics, 35(1), 293-303.
  11. 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.
  12. Chen, Z., Benbasat, I., & Cenfetelli, R. T. (2017). "Grassroots internet celebrity plus live streaming" activating it-mediated lifestyle marketing services at e-commerce websites. International Conference on Information Systems 2017 Proceedings, p. 7.
  13. Chuah, S. H. W., Rauschnabel, P. A., Krey, N., Nguyen, B., Ramayah, T., & Lade, S. (2016). Wearable technologies: The role of usefulness and visibility in smartwatch adoption. Computers in Human Behavior, 65, 276-284.
  14. Clarke, S. G., & Haworth, J. T. (1994). 'Flow' experience in the daily lives of sixth-form college students. British Journal of Psychology, 85(4), 511-523.
  15. Clement Addo, P., Fang, J., Asare, A. O., & Kulbo, N. B. (2021). Customer engagement and purchase intention in live-streaming digital marketing platforms. The Service Industries Journal, 41(11-12), 767-786
  16. CNC News. (2024) http://www.cncnews.co.kr/mobile/article.html?no=8983.
  17. Correa, J., Dutting, P., Fischer, F., Schewior, K., & Ziliotto, B. (2020). Streaming algorithms for online selection problems. Innovations in Theoretical Computer Science (ITCS), 86.
  18. Csikszentmihalyi, M. (1988). The flow experience and its significance for human psychology. Optimal experience: Psychological Studies of Flow in Consciousness, 2, 15-35.
  19. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177-184.
  20. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150.
  21. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. Akron: OH: University of Akron Press.
  22. Florenthal, B. (2019). Young consumers' motivational drivers of brand engagement behavior on social media sites: A synthesized U&G and TAM framework. Journal of Research in Interactive Marketing, 13(3), 351-391.
  23. Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211-231.
  24. Gao, W., Liu, Y., Liu, Z., & Li, J. (2018). How does presence influence purchase intention in online shopping markets? An explanation based on self-determination theory. Behaviour & Information Technology, 37(8), 786-799.
  25. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
  26. Gronroos, C. (2006). Adopting a service logic for marketing. Marketing Theory, 6(3), 317-333.
  27. 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.
  28. Harris, L. C., & Goode, M. M. (2010). Online servicescapes, trust, and purchase intentions. Journal of Services Marketing, 24(3), 230-243.
  29. Hassan, A., Pinkwart, N., & Shafi, M. (2021). Serious games to improve social and emotional intelligence in children with autism. Entertainment Computing, 38, 100417.
  30. Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention: A general structural equation model. European Journal of Marketing, 37(11/12), 1762-1800.
  31. Hong, S. Y., (2021). Naver, Kakao, Coupang, Bae Min all jumped in... 10 trillion giant market is growing, Maeil Business Newspaper, 28 May , Retrieved from https://www.mk.co.kr/news/it/9891028. Seoul, Korea.
  32. Hsu, C. L., Wu, C. C., & Chen, M. C. (2013). An empirical analysis of the antecedents of e-satisfaction and e-loyalty: Focusing on the role of flow and its antecedents. Information Systems and e-Business Management, 11, 287-311.
  33. Hsu, M. H., Chang, C. M., & Chuang, L. W. (2015). Understanding the determinants of online repeat purchase intention and moderating role of habit: The case of online group-buying in Taiwan. International Journal of Information Management, 35(1), 45-56.
  34. Huang, D., Li, Z., Mou, J., & Liu, X. (2017). Effects of flow on young Chinese consumers' purchase intention: A study of e-servicescape in hotel booking context. Information Technology & Tourism, 17, 203-228.
  35. Huang, L. T. (2016). Flow and social capital theory in online impulse buying. Journal of Business Research, 69(6), 2277-2283.
  36. Huang, T. L., & Hsu Liu, F. (2014). Formation of augmented-reality interactive technology's persuasive effects from the perspective of experiential value. Internet Research, 24(1), 82-109.
  37. Hu, M., & Chaudhry, S. S. (2020). Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Research, 30(3), 1019-1041
  38. Huseynov, F., & Yildirim, S. O. (2016). Internet users' attitudes toward business-to-consumer online shopping: A survey. Information Development, 32(3), 452-465.
  39. Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1(2), 59-88.
  40. Javornik, A. (2016). 'It's an illusion, but it looks real!'Consumer affective, cognitive and behavioural responses to augmented reality applications. Journal of Marketing Management, 32(9-10), 987-1011.
  41. Kim, J., & Lennon, S. J. (2013). Effects of reputation and website quality on online consumers' emotion, perceived risk and purchase intention: Based on the stimulus-organism-response model. Journal of Research in Interactive Marketing, 7(1), 33-56.
  42. Kim, M. J., Lee, C. K., & Bonn, M. (2017). Obtaining a better understanding about travel-related purchase intentions among senior users of mobile social network sites. International Journal of Information Management, 37(5), 484-496.
  43. Kim, M. J., Lee, C. K., & Jung, T. (2020). Exploring consumer behavior in virtual reality tourism using an extended stimulus-organism-response model. Journal of Travel Research, 59(1), 69-89.
  44. Kim, Y., Chen, H. T., & De Zuniga, H. G. (2013). Stumbling upon news on the Internet: Effects of incidental news exposure and relative entertainment use on political engagement. Computers in Human Behavior, 29(6), 2607-2614.
  45. King, R. C., Schilhavy, R. A., Chowa, C., & Chin, W. W. (2016). Do customers identify with our website? The effects of website identification on repeat purchase intention. International Journal of Electronic Commerce, 20(3), 319-354.
  46. Korzaan, M. L. (2003). Going with the flow: Predicting online purchase intentions. Journal of Computer Information Systems, 43(4), 25-31.
  47. Kotler, P., & Keller, K. L. (2009). Marketing management (1 dan 2). Erlangga. Kristin, NB (2016), 20.
  48. La, K. W., & Oh, K. W. (2021). Effects of Wanghong marketing in live commerce on Chinese consumers' purchase intention toward fashion products-Focusing on the mediating effect of Wanghong's characteristics and consumers' co-experience. Journal of the Korea Fashion and Costume Design Association, 23(1), 19-36
  49. Lee, A. R. (2021). Investigating the factors influencing the use of live commerce in the un-tact era: Focusing on multidimensional interactivity, presence, and review credibility. Knowledge Management Research, 22(1), 269-286.
  50. Lee, C. H., & Chen, C. W. (2021). Impulse buying behaviors in live streaming commerce based on the stimulus-organism-response framework. Information, 12(6), 241.
  51. Lee, H. H., Fiore, A. M., & Kim, J. (2006). The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses. International Journal of Retail & Distribution Management, 34(8), 621-644.
  52. Lee, H., Lee, Y.-K., & Kim, J. Y. (2023). Effects of CSR motives authenticity and attitude in the food and beverage franchise sectors. Korean Journal of Franchise Management, 14(4), 1-16.
  53. Lee, J., & Kwon, K. H. (2022). Mobile shopping beauty live commerce changes in COVID-19 pandemic focused on fun contents of MZ generation in Republic of Korea. Journal of Cosmetic Dermatology, 21(6), 2298-2306.
  54. Lennon, S. J., Sanik, M. M., & Stanforth, N. F. (2003). Motivations for television shopping: Clothing purchase frequency and personal characteristics. Clothing and Textiles Research Journal, 21(2), 63-74.
  55. Leong, L. Y., Ooi, K. B., Chong, A. Y. L., & Lin, B. (2011). Influence of individual characteristics, perceived usefulness and ease of use on mobile entertainment adoption. International Journal of Mobile Communications, 9(4), 359-382.
  56. Liao, J., Chen, K., Qi, J., Li, J., & Yu, I. Y. (2023). Creating immersive and parasocial live shopping experience for viewers: The role of streamers' interactional communication style. Journal of Research in Interactive Marketing, 17(1), 140-155.
  57. Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens' continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197.
  58. Li, Y., Wang, X., Lin, X., & Hajli, M. (2018). Seeking and sharing health information on social media: A net valence model and cross-cultural comparison. Technological Forecasting and Social Change, 126, 28-40.
  59. Liu, F., Wang, Y., Dong, X., & Zhao, H. (2022). Marketing by live streaming: How to interact with consumers to increase their purchase intentions. Frontiers in Psychology, 13, 933633.
  60. Liu, M., Park, J. Y., & Lee, H. E. (2021). Technology acceptance model in live commerce context: The effect of para-social interactivity and source characteristics on consumers' shopping intention on live commerce platform. The Journal of the Korea Contents Association, 21(6), 138-154.
  61. Luna, D., Peracchio, L. A., & de Juan, M. D. (2002). Cross-cultural and cognitive aspects of web site navigation. Journal of the Academy of Marketing Science, 30(4), 397-410.
  62. Maestre-Andres, S., Calvet-Mir, L., & van den Bergh, J. C. (2016). Sociocultural valuation of ecosystem services to improve protected area management: a multi-method approach applied to Catalonia, Spain. Regional Environmental Change, 16, 717-731.
  63. Mari, M., & Poggesi, S. (2013). Servicescape cues and customer behavior: A systematic literature review and research agenda. The Service Industries Journal, 33(2), 171-199.
  64. Matos, C. A. D., & Krielow, A. (2019). The effects of environmental factors on B2B e-services purchase: Perceived risk and convenience as mediators. Journal of Business & Industrial Marketing, 34(4), 767-778.
  65. Ma, Y. (2021). To shop or not: Understanding Chinese consumers' live-stream shopping intentions from the perspectives of uses and gratifications, perceived network size, perceptions of digital celebrities, and shopping orientations. Telematics and Informatics, 59, 101562.
  66. McLean, G., & Wilson, A. (2019). Shopping in the digital world: Examining customer engagement through augmented reality mobile applications. Computers in Human Behavior, 101, 210-224.
  67. Mehrabian, A., & Russell, J. A. (1974). A verbal measure of information rate for studies in environmental psychology. Environment and Behavior, 6(2), 233-252.
  68. Moriuchi, E. (2019). Okay, Google!: An empirical study on voice assistants on consumer engagement and loyalty. Psychology & Marketing, 36(5), 489-501.
  69. Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.
  70. Pai, F. Y., & Yeh, T. M. (2014). The effects of information sharing and interactivity on the intention to use social networking websites. Quality & Quantity, 48, 2191-2207.
  71. Park, H. J., & Lin, L. M. (2020). The effects of match-ups on the consumer attitudes toward internet celebrities and their live streaming contents in the context of product endorsement. Journal of Retailing and Consumer Services, 52, 101934.
  72. Reimer, A., & Kuehn, R. (2005). The impact of servicescape on quality perception. European Journal of Marketing, 39(7/8), 785-808.
  73. Ringle, C. M., Sarstedt, M., Schlittgen, R., & Taylor, C. R. (2013). PLS path modeling and evolutionary segmentation. Journal of Business Research, 66(9), 1318-1324.
  74. Rouibah, K., Lowry, P. B., & Hwang, Y. (2016). The effects of perceived enjoyment and perceived risks on trust formation and intentions to use online payment systems: New perspectives from an Arab country. Electronic Commerce Research and Applications, 19, 33-43.
  75. Senecal, S., Gharbi, J. E., & Nantel, J. (2002). The influence of flow on hedonic and utilitarian shopping values. Advances in Consumer Research, 29(1), 483-484.
  76. Sharma, S., & Crossler, R. E. (2014). Disclosing too much? Situational factors affecting information disclosure in social commerce environment. Electronic Commerce Research and Applications, 13(5), 305-319.
  77. Shin, D. (2018). Empathy and embodied experience in virtual environment: To what extent can virtual reality stimulate empathy and embodied experience?. Computers in Human Behavior, 78, 64-73.
  78. Sjoblom, M., & Hamari, J. (2017). Why do people watch others play video games? An empirical study on the motivations of Twitch users. Computers in Human Behavior, 75, 985-996.
  79. 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.
  80. Tankovic, A. C., & Benazic, D. (2018). The perception of e-servicescape and its influence on perceived e-shopping value and customer loyalty. Online Information Review, 42(7), 1124-1145.
  81. Teng, H. J., Ni, J. J., & Chen, H. H. (2018). Relationship between e-servicescape and purchase intention among heavy and light internet users. Internet Research, 28(2), 333-350.
  82. Tubillejas Andres, B., Cervera-Taulet, A., & Calderon Garcia, H. (2016). Social servicescape effects on post-consumption behavior: The moderating effect of positive emotions in opera-goers. Journal of Service Theory and Practice, 26(5), 590-615.
  83. Van Noort, G., Voorveld, H. A., & Van Reijmersdal, E. A. (2012). Interactivity in brand web sites: Cognitive, affective, and behavioral responses explained by consumers' online flow experience. Journal of Interactive Marketing, 26(4), 223-234.
  84. Van Zeeland, E., & Henseler, J. (2018). The behavioural response of the professional buyer on social cues from the vendor and how to measure it. Journal of Business & Industrial Marketing, 33(1), 72-83.
  85. Vinzi, V. E., Trinchera, L., & Amato, S. (2010). PLS path modeling: from foundations to recent developments and open issues for model assessment and improvement. In Vinzi, V. E., Chin, W. W., Henseler, J., Wang, H. (Eds.), Handbook of partial least squares (pp. 47-82). Springer.
  86. Vukadin, A., Wongkitrungrueng, A., & Assarut, N. (2018). When art meets mall: Impact on shopper responses. Journal of Product & Brand Management, 27(3), 277-293.
  87. Wang, Y., Wang, J., & Yao, T. (2019). What makes a helpful online review? A meta-analysis of review characteristics. Electronic Commerce Research, 19, 257-284.
  88. Wen, C., Prybutok, V. R., & Xu, C. (2011). An integrated model for customer online repurchase intention. Journal of Computer Information Systems, 52(1), 14-23.
  89. Wirtz, B. W., & Gottel, V. (2016). Technology acceptance in social media: Review, synthesis and directions for future empirical research. Journal of Electronic Commerce Research, 17(2), 97-115.
  90. 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.
  91. Wu, Y. L., & Li, E. Y. (2018). Marketing mix, customer value, and customer loyalty in social commerce: A stimulus-organism-response perspective. Internet Research, 28(1), 74-104.
  92. Xue, J., Liang, X., Xie, T., & Wang, H. (2020). See now, act now: How to interact with customers to enhance social commerce engagement?. Information & Management, 57(6), 103324.
  93. Ye, S., Lei, S. I., Shen, H., & Xiao, H. (2020). Social presence, telepresence and customers' intention to purchase online peer-to-peer accommodation: A mediating model. Journal of Hospitality and Tourism Management, 42, 119-129.
  94. Yim, M. Y. C., Chu, S. C., & Sauer, P. L. (2017). Is augmented reality technology an effective tool for e-commerce? An interactivity and vividness perspective. Journal of Iinteractive Marketing, 39(1), 89-103.
  95. Yu, E., Jung, C., Kim, H., & Jung, J. (2018). Impact of viewer engagement on gift-giving in live video streaming. Telematics and Informatics, 35(5), 1450-1460.
  96. Zahari, N. H. M., Azmi, N. N. N., Kamar, W. N. I. W. A., & Othman, M. S. (2021). Impact of live streaming on social media on impulse buying. Asian Journal of Behavioural Sciences, 3(1), 13-23.
  97. 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.
  98. 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.
  99. Zhao, Q., Chen, C. D., Cheng, H. W., & Wang, J. L. (2018). Determinants of live streamers' continuance broadcasting intentions on Twitch: A self-determination theory perspective. Telematics and Informatics, 35(2), 406-420.
  100. Zheng, S., Wang, Z., & Wachenheim, C. J. (2019). Technology adoption among farmers in Jilin Province, China: The case of aerial pesticide application. China Agricultural Economic Review, 11(1), 206-216.
  101. Zhou, B., Li, J., Wang, X., Gu, Y., Xu, L., Hu, Y., & Zhu, L. (2018). Online internet traffic monitoring system using spark streaming. Big Data Mining and Analytics, 1(1), 47-56.
  102. Zhou, J., Zhou, J., Ding, Y., & Wang, H. (2019). The magic of danmaku: A social interaction perspective of gift sending on live streaming platforms. Electronic Commerce Research and Applications, 34, 100815.