Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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The Economics of Para-social Interactions During Live Streaming Broadcasts: A Study of Wanghongs

  • Yongfu Quan (SJ Company) ;
  • Jin Seon Choe (Barun ICT Research Center, Yonsei University / Yonsei Business Research Institute, Yonsei University) ;
  • Il Im (School of Business, Yonsei University)
  • Received : 2019.09.21
  • Accepted : 2019.12.21
  • Published : 2020.03.30
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Abstract

The rapid growth of economic transactions generated by live streaming broadcasts ("LSB") has created opportunities for retailers to increase sales. However, little is known about what impact LSB celebrities have on customers and what causes LSB celebrities to become famous. This study aimed to fill this gap by studying the economics of LSBs. This study was conducted through a para-social relationship and attractiveness theory framework. Consequently, social and task attraction were assumed to be the antecedents of the para-social relationship that induced purchase intention. This study examined the impact of relationship rewards, self-disclosure, affective interactivity, informative interactivity, and the amount of information provided on purchase intentions through LSB. Celebrities can use the results of this study to enhance their appeal to fans and promote customers' purchase on e-commerce. This study contributed to the IS field by investigate the impact of para-social relationship on the online shopping context.

Keywords

References

  1. Ajzen, I. (1977). Information processing approaches to interpersonal attraction. Theory and Practice in Interpersonal Attraction, 51-77. 
  2. Altman, I., and Taylor, D. (1973). Social penetration theory. New York: Holt, Rinehart and Mnston. 
  3. Aronson, E., and Linder, D. (1965). Gain and loss of esteem as determinants of interpersonal attractiveness. Journal of Experimental Social Psychology, 1(2), 156-171.  https://doi.org/10.1016/0022-1031(65)90043-0
  4. Ballantine, P. W. (2005). Effects of interactivity and product information on consumer satisfaction in an online retail setting. International Journal of Retail and Distribution Management, 33(6), 461-471.  https://doi.org/10.1108/09590550510600870
  5. Bazarova, N. N. (2012). Public intimacy: Disclosure interpretation and social judgments on Facebook. Journal of Communication, 62(5), 815-832.  https://doi.org/10.1111/j.1460-2466.2012.01664.x
  6. Berger, C. R., and Calabrese, R. J. (1974). Some explorations in initial interactions and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1(2), 99-112.  https://doi.org/10.1111/j.1468-2958.1975.tb00258.x
  7. Berscheid, E., Snyder, M., and Omoto, A. M. (1989). The relationship closeness inventory: Assessing the closeness of interpersonal relationships. Journal of Personality and Social Psychology , 57(5), 792-805.  https://doi.org/10.1037/0022-3514.57.5.792
  8. Burgoon, J. K., Bonito, J. A., Bengtsson, B., Ramirez Jr, A., Dunbar, N. E., and Miczo, N. (1999). Testing the interactivity model: Communication processes, partner assessments, and the quality of collaborative work. Journal of Management Information Systems, 16(3), 33-56.  https://doi.org/10.1080/07421222.1999.11518255
  9. Campbell, D. E., Wells, J. D., and Valacich, J. S. (2013). Breaking the ice in B2C relationships: Understanding pre-adoption e-commerce attraction. Information Systems Research, 24(2), 219-238.  https://doi.org/10.1287/isre.1120.0429
  10. Chai, S. M. (2011). Information sharing on blogosphere: An impact of trust and online privacy concerns. Asia Pacific Journal of Information Systems, 21(3), 1-18.  https://doi.org/10.1111/j.1365-2575.2010.00367.x
  11. Chen, Z., Benbasat, I., and Cenfetelli, R. T. (2017). Grassroots internet celebrity plus live streaming activating It-mediated lifestyle marketing services on e-commerce websites. (ICIS) 2017 38th International Conference on Information Systems. 
  12. Chin, J. P., Diehl, V. A., and Norman, K. L. (1988). Development of an instrument measuring user satisfaction with the human-computer interface. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, J. J. O'Hare (ed.), Washington, D.C., U.S.A. ACM Press, 213-218. 
  13. Collins, N. L., and Miller, L. C. (1994). Self-disclosure and liking: A meta-analytic review. Psychological Bulletin, 116(3), 457. 
  14. Cyr, D., Head, M., and Ivanov, A. (2009). Perceived interactivity leading to e-loyalty: Development of a model for cognitive-affective user responses. International Journal of Human-computer Studies, 67(10), 850-869.  https://doi.org/10.1016/j.ijhcs.2009.07.004
  15. De, P., Hu, Y., and Rahman, M. S. (2013). Product-oriented web technologies and product returns: An exploratory study. Information Systems Research, 24(4), 998-1010.  https://doi.org/10.1287/isre.2013.0487
  16. Delegate, V. J. (1984). Self-disclosure and intimate relationships. Communication, Intimacy, and Close Relationships, Academic Press, 1-9. 
  17. Derlega, V. J., Metts, S., Sandra, P., and Margulis, S. T. (1987). Self-disclosure: Theory, research, and therapy. Springer Science and Business Media. 
  18. Derlega, V. J., Winstead, B. A., and Greene, K. (2008). Self-disclosure and starting a close relationship. Handbook of Relationship Beginnings, 153-174. 
  19. Dillon, W. R. G., Dillon, M. W. R., and Goldstein, M. (1984). Multivariate analysis methods and applications. John Wiley and Sons. 
  20. Ellegaard. C., and Koch, C. (2012). The effects of low internal integration between purchasing and operations on suppliers' resource mobilization. Journal of Purchasing and Supply Management, 18(3), 148-158.  https://doi.org/10.1016/j.pursup.2012.06.001
  21. Eroglu, S. A., Machleit, K. A., and Davis, L. M. (2001). Atmospheric qualities of online retailing: a conceptual model and implications. Journal of Business Research, 54(2), 177-184.  https://doi.org/10.1016/S0148-2963(99)00087-9
  22. Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.  https://doi.org/10.1177/002224378101800104
  23. Greene, K., Derlega, V. J., and Mathews, A. (2006). Self-disclosure in personal relationships. The Cambridge handbook of personal relationships, 409-427. 
  24. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice hall. 
  25. Hajli, M. N. (2014). A study of the impact of social media on consumers, international. Journal of Market Research, 56(3), 387-404. 
  26. Hausman, A. V., and Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62(1), 5-13.  https://doi.org/10.1016/j.jbusres.2008.01.018
  27. Hogg, M. A., and Vaughan, G. M. (2002). Social Psychology (3rd Edition). Prentice Hall, London. 
  28. Horton, D., and Richard Wohl R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215-229.  https://doi.org/10.1080/00332747.1956.11023049
  29. Hu, M., Milner, J., and Wu, J. (2015). Liking and following and the newsvendor: Operations and marketing policies under social influence. Management Science, 62(3), 867-879.  https://doi.org/10.1287/mnsc.2015.2160
  30. Hu, M., Zhang, M., and Wang, Y. (2017). Why do audiences choose to keep watching on live video streaming platforms? An explanation of dual identification frameworks. Computers in Human Behavior, 75, 594-606.  https://doi.org/10.1016/j.chb.2017.06.006
  31. Hua, W., Leong, C., and Yu, J. (2017). Exploring user-created digital content ecosystems: A study of china's digital celebrity industry. (ICIS) 2017 38th International Conference on Information Systems. 
  32. Joines, J. L., Scherer, C. W., and Scheufele, D. A. (2003). Exploring motivations for consumer web use and their implications for e-commerce. Journal of Consumer Marketing, 20(2), 90-108.  https://doi.org/10.1108/07363760310464578
  33. Kiang, M. Y., Raghu, T. S., and Shang, K. H. (2000). Marketing on the Internet-Who can benefit from an online marketing approach? Decision Support Systems, 27(4), 383-393.  https://doi.org/10.1016/S0167-9236(99)00062-7
  34. Kim, M., and Lennon, S. J. (2000). Television shopping for apparel in the united states: Effects of perceived amount of information on perceived risks and purchase Intentions. Family and Consumer Sciences Research Journal, 28(3), 301-331.  https://doi.org/10.1177/1077727X00283002
  35. Kim, S., Yu, E., and Jung, J. (2016). The impact of viewing motivation and social viewing on continued use and willingness to pay in the personal broadcasting service: Focused on AfreecaTV. Review of Culture & Economy, 19(3), 57-84. 
  36. Kuruzovich, J., Viswanathan, S., and Agarwal, R. (2008). Marketspace or marketplace? Online information search and channel outcomes in auto retailing. Information Systems Research, 19(2), 182-201.  https://doi.org/10.1287/isre.1070.0146
  37. Labrecque, L. I. (2014). Fostering consumers? Brand relationships in social media environments: The role of para-social interactions. Journal of Interactive Marketing 28(2), 134-148.  https://doi.org/10.1016/j.intmar.2013.12.003
  38. Lee, J., and Hong, I. B. (2016). Predicting positive user responses to social media advertising: The roles of emotional appeal, informativeness, and creativity. International Journal of Information Management, 36(3), 360-373.  https://doi.org/10.1016/j.ijinfomgt.2016.01.001
  39. Lee, W. K. (2014). A framework for purchase intentions toward a brand-new smartphone based on self-presentation and aesthetics. Asia Pacific Journal of Information Systems, 24(4), 515-529.  https://doi.org/10.14329/apjis.2014.24.4.515
  40. Levinger, G. (1980). Toward the analysis of close relationships. Journal of Experimental Social Psychology, 16(6), 510-544.  https://doi.org/10.1016/0022-1031(80)90056-6
  41. Lin, R., and Utz, S. (2017). Self-disclosure on SNS: Do disclosure intimacy and narrativity influence interpersonal closeness and social attraction? Computers in Human Behavior, 70, 426-436.  https://doi.org/10.1016/j.chb.2017.01.012
  42. Loiacono, E. T., Watson, R. T., and Goodhue, D. L. (2007). WebQual: An instrument for consumer evaluation of websites. International Journal of Electronic Commerce, 11(3), 51-87.  https://doi.org/10.2753/JEC1086-4415110302
  43. Lydon, J. E., Jamieson, D. W., and Zanna, M. P. (1988). Interpersonal similarity and the social and intellectual dimensions of first impressions. Social Cognition, 6(4), 269-286.  https://doi.org/10.1521/soco.1988.6.4.269
  44. Lynch Jr, J. G., and Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing science, 19(1), 83-103.  https://doi.org/10.1287/mksc.19.1.83.15183
  45. Marwick, A. (2015). You may know me from YouTube: A companion to celebrity. Sean Redmond and P. David Marshall. Chichester (eds.), Wiley Blackwell, 333-349. 
  46. McCroskey, J. C., and McCain, T. A. (1974). The measurement of interpersonal attraction. Speech Monographs, 41(3), 261-266.  https://doi.org/10.1080/03637757409375845
  47. McCroskey, L. L., McCroskey, J. C., and Richmond, V. P. (2006). Analysis and improvement of the measurement of interpersonal attraction and homophily. Communication Quarterly, 54(1), 1-31.  https://doi.org/10.1080/01463370500270322
  48. Montoya, R. M., and Horton, R. S. (2004). On the importance of cognitive evaluation as a determinant of interpersonal attraction. Journal of Personality and Social Psychology, 86(5), 696-714.  https://doi.org/10.1037/0022-3514.86.5.696
  49. Ni, X., Xue, G. R., Ling, X., Yu, Y., and Yang, Q. (2007). Exploring the weblog space by detecting informative and affective articles. In Proceedings of the 16th International Conference on the World Wide Web, 281-290. 
  50. Oh, S., Ahn, J., and Baek, H. (2015). The effects of social media on music-induced tourism: A case of Korean pop music and inbound tourism to Korea. Asia Pacific Journal of Information Systems, 25(1), 121-143.  https://doi.org/10.14329/apjis.2015.25.1.121
  51. Park, J., and Lennon, S. J. (2006). Psychological and environmental antecedents of the impulse buying tendency in the multichannel shopping Context. Journal of Consumer Marketing, 23(2), 56-66.  https://doi.org/10.1108/07363760610654998
  52. Parks, M. R., and Floyd, K. (1996). Making friends in cyberspace. Journal of Computer-mediated Communication, 1(4), JCMC144. 
  53. Peck, J., and Wiggins, J. (2006). It just feels good: Customers' affective responses to touch and its influence on persuasion. Journal of Marketing, 70(4), 56-69. 
  54. Podsakoff, P. M., MacKenzie, S. B., and Lee, J. Y. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. 
  55. Rains, S. A., Brunner, S. R., and Oman, K. (2014). Social media and risk communication. The Sage Handbook of Risk Communication, 228-243. 
  56. Riordan, C. A., Quigley-Fernandez, B., and Tedeschi, J. T. (1982). Some variables affecting changes in interpersonal attraction. Journal of Experimental Social Psychology, 18(4), 358-374.  https://doi.org/10.1016/0022-1031(82)90059-2
  57. Rubin, R. B., and McHugh, M. P. (1987). Development of para-social interaction relationships. Journal of Broadcasting and Electronic Media, 31(3), 279-292.  https://doi.org/10.1080/08838158709386664
  58. Schafer, J. B., Konstan, J. A., and Riedl, J. (2001). E-commerce recommendation applications. Data Mining and Knowledge Discovery, 5(1), 115-153.  https://doi.org/10.1023/A:1009804230409
  59. Sheldon, P. (2009). I'll poke you. You'll poke me! Self-disclosure, social attraction, predictability and trust as important predictors of Facebook relationships, cyberpsychology. Journal of Psychosocial Research on Cyberspace, 3(2), Article 1. 
  60. Siau, K., and Shen, Z. (2003). Building customer trust in mobile commerce. Communications of the ACM, 46(4), 91-94.  https://doi.org/10.1145/641205.641211
  61. Sjoblom, M., and 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.  https://doi.org/10.1016/j.chb.2016.10.019
  62. Spry, A., Pappu, R., and Cornwell, T. B. (2011). Celebrity endorsement, brand credibility, and brand equity. European Journal of Marketing, 45(6), 882-909.  https://doi.org/10.1108/03090561111119958
  63. Thorson, K. S., and Rodgers, S. (2006). Relationships between Blogs as eWOM and interactivity, perceived interactivity, and para-social interaction. Journal of Interactive Advertising, 6(2), 5-44.  https://doi.org/10.1080/15252019.2006.10722117
  64. Wheeless, L. R. (1978). A follow up study of the relationships among trust, disclosure, and interpersonal solidarity. Human Communication Research, 4(2), 143-157.  https://doi.org/10.1111/j.1468-2958.1978.tb00604.x
  65. Wold, H. (1989). Introduction to the second generation of multivariate analysis. New York: Paragon House: H. Wold (ed.). 
  66. Yongyi Wu. (2017). E-commerce live: How to win the future. Modern Corporate Culture, 1, 110-112. 
  67. Yoo, J. (2016). Individual broadcasting: The source of benefit. Journal of the Korean Institute of Communication Sciences, 33(4), 71-78. 
  68. Zhongmei Li. (2016). Analysis of how e-commerce video broadcasts effectively improve transaction conversion rates. Cooperative Economy and Technology, 22, 82-96.