| 研究生: |
陳麗萍 Arthita Tantai |
|---|---|
| 論文名稱: |
A Study in Investigation the Impacts of Value of Time and Endorsement on Customer Purchase Intentions: A Case of Live Streaming Commerce A Study in Investigation the Impacts of Value of Time and Endorsement on Customer Purchase Intentions: A Case of Live Streaming Commerce |
| 指導教授: |
林彣珊
Lin, Wen-Shan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 國際經營管理研究所 Institute of International Management |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 英文 |
| 論文頁數: | 68 |
| 外文關鍵詞: | Live streaming commerce, Social interaction, Influencer endorsement, Value of time, Consumer attitude, Purchase intention |
| 相關次數: | 點閱:81 下載:10 |
| 分享至: |
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Nowadays, social network sites have evolved into the primary online shopping channels, referred to as social commerce or s-commerce. Many small individual sellers have embraced live-streaming platforms, for example, Facebook live which broadcast videos in the real time, as a direct sale tool in s-commerce. This study focused on how social interaction, influencer endorsement, and value of time impact to consumer attitude and purchase intention toward the small and medium online enterprises by using Facebook live to sell their products. The stopping rules, parasocial interaction theory, and social interaction theory are collaborated in this study. To test the result, we use experimental research to execute a factorial design 2x2x2. Explicating the role of live stream in improving sales and purchasing intention. The results suggest that if suppliers provide the beneficial information with the effective amount of time, influencer, and social interaction between audiences and streamers, it will influence to the live streaming customer’s attitude in the positive way toward the product that streamer presented and lead to increasing in purchase intention.
Ahituv, N., Igbaria, M., & Sella, A. (1998). The Effects of Time Pressure and Completeness of Information on Decision Making. J. of Management Information Systems, 15, 153-172. doi: 10.1080/07421222.1998.11518212
Ahn, J. (2011). The effect of social network sites on adolescents' social and academic development: Current theories and controversies. Journal of the American Society for Information Science and Technology, 62(8), 1435-1445. doi: https://doi.org/10.1002/asi.21540
Alhabash, S., Park, H., Kononova, A., Chiang, Y.-h., & Wise, K. (2012). Exploring the Motivations of Facebook Use in Taiwan. Cyberpsychology, Behavior, and Social Networking, 15(6), 304-311. doi: 10.1089/cyber.2011.0611
Allen, J. P., Porter, M. R., & McFarland, F. C. (2006). Leaders and followers in adolescent close friendships: Susceptibility to peer influence as a predictor of risky behavior, friendship instability, and depression. Development and Psychopathology, 18(1), 155-172. doi: 10.1017/S0954579406060093
Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Everyone's an influencer: quantifying influence on twitter. Paper presented at the Proceedings of the fourth ACM international conference on Web search and data mining, Hong Kong, China. https://doi.org/10.1145/1935826.1935845
Balasubramanian, S. K., Patwardhan, H., Pillai, D., & Coker, K. K. (2014). Modeling attitude constructs in movie product placements. Journal of Product and Brand Management, 23(7), 516-531. doi: 10.1108/JPBM-04-2014-0552
Bawden, D., & Robinson, L. (2008). The dark side of information: overload, anxiety and other paradoxes and pathologies. Journal of Information Science, 35(2), 180-191. doi: 10.1177/0165551508095781
Ben Zur, H., & Breznitz, S. J. (1981). The effect of time pressure on risky choice behavior. Acta Psychologica, 47(2), 89-104. doi: https://doi.org/10.1016/0001-6918(81)90001-9
Bernard, Y., Wheeler, G., & Wheeler, V. M. (2017). Rigidity and stability of spheres in the Helfrich model. Interfaces and Free Boundaries, 19(4), 495-523. doi: 10.4171/IFB/390
Bokunewicz, J. F., & Shulman, J. (2017). Influencer identification in Twitter networks of destination marketing organizations. Journal of Hospitality and Tourism Technology.
Bond, B. J. (2016). Following Your “Friend”: Social Media and the Strength of Adolescents' Parasocial Relationships with Media Personae. Cyberpsychology, Behavior, and Social Networking, 19(11), 656-660. doi: 10.1089/cyber.2016.0355
Browne, G. J., & Pitts, M. G. (2004). Stopping rule use during information search in design problems. Organizational Behavior and Human Decision Processes, 95(2), 208-224. doi: 10.1016/j.obhdp.2004.05.001
Browne, G. J., & Walden, E. A. (2021). Stopping information search: An fMRI investigation. Decision Support Systems, 143. doi: 10.1016/j.dss.2021.113498
Brynjolfsson, E., Hu, Y., & Simester, D. (2011). Goodbye Pareto Principle, Hello Long Tail: The Effect of Search Costs on the Concentration of Product Sales. Management Science, 57(8), 1373-1386. doi: 10.1287/mnsc.1110.1371
Center, P. R. (2011). Teens, kindness and cruelty on social network sites. Retrieved May 11, 2021, from https://www.pewresearch.org/internet/2011/11/09/teens-kindness-and-cruelty-on-social-network-sites/
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. doi: 10.1016/j.tele.2017.12.003
Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511-535. doi: https://doi.org/10.1016/S0022-4359(01)00056-2
Choi, S. M., & Rifon, N. J. (2012). It Is a Match: The Impact of Congruence between Celebrity Image and Consumer Ideal Self on Endorsement Effectiveness. Psychology & Marketing, 29(9), 639-650. doi: https://doi.org/10.1002/mar.20550
Chung, S., & Cho, H. (2017). Fostering Parasocial Relationships with Celebrities on Social Media: Implications for Celebrity Endorsement. Psychology & Marketing, 34(4), 481-495. doi: https://doi.org/10.1002/mar.21001
ConsumerLab, E. (2016). Live Streaming Joins Social Media. Retrieved April 30, 2021, from https://www.ericsson.com/assets/local/mobility-report/documents/2016/emr-november-2016-live-streaming-joins-social-media.pdf
Curras-Perez, R., Ruiz-Mafe, C., & Sanz-Blas, S. (2014). Determinants of user behaviour and recommendation in social networks: An integrative approach from the uses and gratifications perspective. Industrial Management and Data Systems, 114(9), 1477-1498. doi: 10.1108/IMDS-07-2014-0219
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. doi: 10.1287/mnsc.35.8.982
De Jaegher, H., Di Paolo, E., & Gallagher, S. (2010). Can social interaction constitute social cognition? Trends in cognitive sciences, 14(10), 441-447.
De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798-828. doi: 10.1080/02650487.2017.1348035
Dennis, A. R., & Taylor, N. J. (2006). Information foraging on the web: The effects of “acceptable” Internet delays on multi-page information search behavior. Decision Support Systems, 42(2), 810-824. doi: https://doi.org/10.1016/j.dss.2005.05.032
Dhar, R., & Nowlis, S. (1999). The Effect of Time Pressure on Consumer Choice Deferral. Journal of Consumer Research, 25, 369-384. doi: 10.1086/209545
Duffy, B. E. (2018). (Not) getting paid to do what you love: Yale University Press.
Dunbar, R. I. (2016). Do online social media cut through the constraints that limit the size of offline social networks? Royal Society Open Science, 3(1), 150292.
Dwidienawati, D., Tjahjana, D., Abdinagoro, S. B., Gandasari, D., & Munawaroh. (2020). Customer review or influencer endorsement: which one influences purchase intention more? Heliyon, 6(11), e05543. doi: 10.1016/j.heliyon.2020.e05543
Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites. Journal of Computer-Mediated Communication, 12(4), 1143-1168. doi: 10.1111/j.1083-6101.2007.00367.x
Facebook. (2017). Helping Small Businesses Succeed in a Mobile World. Retrieved April 30, 2021, from https://www.facebook.com/business/news/helping-small-businesses-succeed-in-a-mobile-world
Facebook. (2018). Millions shared New Year's Eve moments with friends and family on Facebook Live. Retrieved April 30, 2021, from https://www.facebook.com/formedia/blog/millions-shared-new-years-eve-moments-with-friends-and-family-on-facebook-live
Ghose, A., Goldfarb, A., & Han, S. P. (2013). How is the mobile Internet different? Search costs and local activities. Information Systems Research, 24(3), 613-631.
Gong, W., & Li, X. (2017). Engaging fans on microblog: the synthetic influence of parasocial interaction and source characteristics on celebrity endorsement. Psychology & Marketing, 34(7), 720-732. doi: https://doi.org/10.1002/mar.21018
Group, P. (2016). Social commerce in Southeast Asia: All you need to know. Retrieved April 30, 2021, from https://www.pricezagroup.com/2016/social-commerce-southeast-asia/
Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate Data Analysis: A Global Perspective.
Hajli, N. (2015). Social commerce constructs and consumer's intention to buy. International Journal of Information Management, 35(2), 183-191. doi: https://doi.org/10.1016/j.ijinfomgt.2014.12.005
Hartup, W. W., & Stevens, N. (1997). Friendships and adaptation in the life course. Psychological Bulletin, 121(3), 355-370. doi: 10.1037/0033-2909.121.3.355
Hegtvedt, K. A., & Turner, J. H. (1989). A Theory of Social Interaction. Social Forces, 68(2). doi: 10.2307/2579266
Hemp, P. (2009). Death by information overload. Harvard Business Review, 87(9).
Horton, D., & Richard Wohl, R. (1956). Mass Communication and Para-Social Interaction. Psychiatry, 19(3), 215-229. doi: 10.1080/00332747.1956.11023049
Hung, S.-Y., Tsai, J. C.-A., & Chou, S.-T. (2016). Decomposing perceived playfulness: A contextual examination of two social networking sites. Information & Management, 53(6), 698-716. doi: https://doi.org/10.1016/j.im.2016.02.005
Jalilvand, M. R., & Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30, 460-476. doi: 10.1108/02634501211231946
Jamil, R. A., & Hassan, S. R. u. (2014). Influence of celebrity endorsement on consumer purchase intention for existing products: a comparative study. Journal of Management Info, 1(4), 1-8. doi: 10.31580/jmi.v4i1.18
Khalis, A., & Mikami, A. Y. (2018). Talking face-to-Facebook: Associations between online social interactions and offline relationships. Computers in Human Behavior, 89, 88-97. doi: 10.1016/j.chb.2018.07.033
Kim, J., & Song, H. (2016). Celebrity's self-disclosure on Twitter and parasocial relationships: A mediating role of social presence. Computers in Human Behavior, 62, 570-577. doi: https://doi.org/10.1016/j.chb.2016.03.083
Kim, Y.-J., & Na, J.-H. (2007). Effects of celebrity athlete endorsement on attitude towards the product: the role of credibility, attractiveness and the concept of congruence. International Journal of Sports Marketing and Sponsorship, 8(4), 23-33. doi: 10.1108/IJSMS-08-04-2007-B004
Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361-370. doi: https://doi.org/10.1016/j.dss.2013.07.002
Klingberg, T. (2009). The overflowing brain: Information overload and the limits of working memory: Oxford University Press.
Lafferty, B. A., & Goldsmith, R. E. (1999). Corporate Credibility’s Role in Consumers’ Attitudes and Purchase Intentions When a High versus a Low Credibility Endorser Is Used in the Ad. Journal of Business Research, 44(2), 109-116. doi: https://doi.org/10.1016/S0148-2963(98)00002-2
Lagrée, P., Cappé, O., Cautis, B., & Maniu, S. (2018). Algorithms for Online Influencer Marketing. ACM Trans. Knowl. Discov. Data, 13(1), Article 3. doi: 10.1145/3274670
Ledbetter, A. M., & Meisner, C. (2021). Extending the personal branding affordances typology to parasocial interaction with public figures on social media: Social presence and media multiplexity as mediators. Computers in Human Behavior, 115. doi: 10.1016/j.chb.2020.106610
Ledbetter, A. M., & Redd, S. M. (2016). Celebrity Credibility on Social Media: A Conditional Process Analysis of Online Self-Disclosure Attitude as a Moderator of Posting Frequency and Parasocial Interaction. Western Journal of Communication, 80(5), 601-618. doi: 10.1080/10570314.2016.1187286
Li, R. (2018). The Secret of Internet Celebrities: A Qualitative Study of Online Opinion Leaders on Weibo.
Lu, Y., Zhou, T., & Wang, B. (2009). Exploring Chinese users’ acceptance of instant messaging using the theory of planned behavior, the technology acceptance model, and the flow theory. Computers in Human Behavior, 25(1), 29-39. doi: https://doi.org/10.1016/j.chb.2008.06.002
Lu, Z., Xia, H., Heo, S., & Wigdor, D. (2018). You Watch, You Give, and You Engage. Paper presented at the Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems.
Menon, M., Boone, L., & Rogers, H. (2001). Celebrity Advertising: An Assessment of Its Relative Effectiveness.
Mikami, S., Watanabe, D., Li, Y., & Sakiyama, K. (2015). Fully Integrated Passive UHF RFID Tag for Hash-Based Mutual Authentication Protocol. The Scientific World Journal, 2015, 498610. doi: 10.1155/2015/498610
Oh, H. J., Ozkaya, E., & LaRose, R. (2014). How does online social networking enhance life satisfaction? The relationships among online supportive interaction, affect, perceived social support, sense of community, and life satisfaction. Computers in Human Behavior, 30, 69-78. doi: https://doi.org/10.1016/j.chb.2013.07.053
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. doi: 10.1016/j.jretconser.2019.101934
Parker, J. G., & Asher, S. R. (1993). Friendship and Friendship Quality in Middle Childhood: Links With Peer Group Acceptance and Feelings of Loneliness and Social Dissatisfaction. Developmental Psychology, 29(4), 611-621. doi: 10.1037/0012-1649.29.4.611
Payne, J., Bettman, J., & Johnson, E. (1988). Adaptive Strategy Selection in Decision Making. Journal of Experimental Psychology: Learning, Memory, and Cognition, 14, 534-552. doi: 10.1037/0278-7393.14.3.534
Peng, L., & Liang, S. (2013). The effects of consumer perceived value on purchase intention in e-commerce platform: A time-limited promotion perspective. Proceedings of the International Conference on Electronic Business (ICEB), 56-64.
Pennington, R. R., & Kelton, A. S. (2016). How much is enough? An investigation of nonprofessional investors information search and stopping rule use. International Journal of Accounting Information Systems, 21, 47-62. doi: 10.1016/j.accinf.2016.04.003
Pirolli, P., & Card, S. (1999). Information foraging. Psychological Review, 106(4), 643-675. doi: 10.1037/0033-295X.106.4.643
Pornwasin, A. (2018). Social commerce rides social media boom. Retrieved April 2, 2021, from https://www.nationthailand.com/Startup_and_IT/30350986?source=post_page---------------------------
Ranga, M., & Sharma, D. (2014). INFLUENCER MARKETING- A MARKETING TOOL IN THE AGE OF SOCIAL MEDIA. Abhinav-International Monthly Refereed Journal Of Research In Management & Technology, 3, 16-21.
Rasmussen, L. (2018). Parasocial Interaction in the Digital Age: An Examination of Relationship Building and the Effectiveness of YouTube Celebrities. Social media and society, 7, 280-294.
Rihl, A., & Wegener, C. (2019). YouTube celebrities and parasocial interaction: Using feedback channels in mediatized relationships. Convergence: The International Journal of Research into New Media Technologies, 25, 554 - 566.
Rötzel, P. G., & Fehrenbacher, D. D. (2019). On the Role of Information Overload in Information Systems (IS) Success: Empirical Evidence from Decision Support Systems. Paper presented at the ICIS.
Roy, S., & Moorthi, Y. L. R. (2012). Investigating endorser personality effects on brand personality, causation & reverse causation in India. Journal of Brand Strategy, 1(2), 164-179.
Sjöblom, 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. doi: https://doi.org/10.1016/j.chb.2016.10.019
Social, H. W. A. (2017). Global digital statshot in Q3 2017. Retrieved April 20, 2021, from https://www.slideshare.net/wearesocialsg/global-digital-statshot-q3-2017
Sokolova, K., & Kefi, H. (2020). Instagram and YouTube bloggers promote it, why should I buy? How credibility and parasocial interaction influence purchase intentions. Journal of Retailing and Consumer Services, 53, 101742. doi: https://doi.org/10.1016/j.jretconser.2019.01.011
Starbucks. (2020). LIVE : Be A Barista with Starbucks Coffee Masters. Retrieved April 30, 2021, from https://www.facebook.com/StarbucksThailand/posts/10158562985392766/
Stever, G. S., & Lawson, K. (2013). Twitter as a way for celebrities to communicate with fans: Implications for the study of parasocial interaction. North American Journal of Psychology, 15(2), 339-354.
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. doi: 10.1016/j.elerap.2019.100886
Sutcliffe, K. M., & Weick, K. E. (2009). Information overload revisited The Oxford handbook of organizational decision making: Oxford University Press.
Svenson, O., & Edland, A. (1987). Change of Preferences Under Time Pressure. Scandinavian Journal of Psychology, 28, 322-330. doi: 10.1111/j.1467-9450.1987.tb00769.x
Szwedo, D. E., Mikami, A. Y., & Allen, J. P. (2011). Qualities of Peer Relations on Social Networking Websites: Predictions From Negative Mother–Teen Interactions. Journal of Research on Adolescence, 21(3), 595-607. doi: https://doi.org/10.1111/j.1532-7795.2010.00692.x
Talkwalker. (2020). What Is Influencer Marketing Retrieved May 12, 2021, from https://www.talkwalker.com/blog/what-is-influencer-marketing-and-why-your-brand-needs-it
Till, B. D., & Busler, M. (2000). The Match-Up Hypothesis: Physical Attractiveness, Expertise, and the Role of Fit on Brand Attitude, Purchase Intent and Brand Beliefs. Journal of Advertising, 29(3), 1-13. doi: 10.1080/00913367.2000.10673613
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204. doi: 10.1287/mnsc.46.2.186.11926
Voss, K. E., Spangenberg, E. R., & Grohmann, B. (2003). Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of Marketing Research, 40(3), 310-320. doi: 10.1509/jmkr.40.3.310.19238
Wang, S. W., Kao, G. H.-Y., & Ngamsiriudom, W. (2017). Consumers' attitude of endorser credibility, brand and intention with respect to celebrity endorsement of the airline sector. Journal of Air Transport Management, 60, 10-17. doi: https://doi.org/10.1016/j.jairtraman.2016.12.007
Weber, E., Smith, C., & Ram, S. (1987). Crisis support systems: Recognizing and managing crises
Decision Support Systems Conference-87 transactions.
Weidman, A. C., & Levinson, C. A. (2015). I’m still socially anxious online: Offline relationship impairment characterizing social anxiety manifests and is accurately perceived in online social networking profiles. Computers in Human Behavior, 49, 12-19. doi: https://doi.org/10.1016/j.chb.2014.12.045
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. doi: 10.1016/j.jbusres.2018.08.032
Wright, P. (1974). The harassed decision maker: Time pressures, distractions, and the use of evidence. Journal of Applied Psychology, 59(5), 555-561. doi: 10.1037/h0037186
Yoo, J.-W., & Jin, Y. J. (2015). Reverse Transfer Effect of Celebrity-Product Congruence on the Celebrity's Perceived Credibility. Journal of Promotion Management, 21(6), 666-684. doi: 10.1080/10496491.2015.1055046
Young, D. L., Goodie, A. S., Hall, D. B., & Wu, E. (2012). Decision making under time pressure, modeled in a prospect theory framework. Organ Behav Hum Decis Process, 118(2), 179-188. doi: 10.1016/j.obhdp.2012.03.005
Zhang, C.-B., Li, Y.-N., Wu, B., & Li, D.-J. (2017). How WeChat can retain users: Roles of network externalities, social interaction ties, and perceived values in building continuance intention. Computers in Human Behavior, 69, 284-293. doi: https://doi.org/10.1016/j.chb.2016.11.069