越寂寞的人越離不開直播? 探索直播持續觀看意圖

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簡宇澤(Yu-Ze Jian) 查詢紙本館藏

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論文名稱

越寂寞的人越離不開直播? 探索直播持續觀看意圖
(Lonely People Cannot Live Without Online Streaming? – A Study on Livestream Continuance Watching Intentions)

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摘要(中)

近年來直播的快速崛起對媒體產業產生巨大的衝擊。有別於傳統大眾媒體，直播具有高互動性，使用者可以在直播頻道內與直播主或是使用者之間彼此互動，在直播中使用者持續觀看人數，是影響直播主與該直播平台的重要收益來源。因此，影響使用者持續使用意圖的因素是相當重要的研究課題。此外在社群媒體與傳統媒體中，寂寞感被廣泛討論，寂寞感的人持續使用社群媒體滿足現實人際關係的缺乏，在持續使用意圖中，寂寞感是否有影響也同樣是值得探討的。
本研究試圖探討使用者持續觀看直播之因素，以社會認同理論與擬社會互動為基礎，並加入寂寞感作為調節變項，以瞭解他是否會影響使用者持續觀看直播之意圖。研究模型是基於整理相關文獻提出，利用網路發放問卷進行問卷調查法，共蒐集257份有效樣本。並透過SPSS、AMOS與SmartPLS 2.0進行資料分析，以檢驗本研究模型與假說。
研究結果顯示：(1) 在直播中擬社會互動程度會對直播主的認同有顯著影響 (2) 直播主認同對於持續觀看直播意圖有顯著影響 (3) 直播主認同到持續觀看直播意圖的影響，會受到寂寞感調節，當直播主認同低時有顯著差異 (4) 不同的直播類型，影響使用者觀看因素不同。

摘要(英)

Live streaming has critical impact on traditional media in recent years. Compared to traditional media, live streaming is more interactive. User can interact with both audiences and broadcasters on live streaming platforms. On a live streaming platform, user’s continuous watching behavior contributes to income for both broadcasters and platform managers. Therefore the factors affecting live streaming users continuance intention is an important researchable issue. In addition, loneliness has been identified as a factor in social media and traditional media participation. Lonely people use social media to satisfy their lack of real life interpersonal relationship. Therefore, it is important to examine the impact of loneliness in continuous intention.
This study attempts to explore user’s continuance watching intention, using factors based on social identity and para-social interaction, and includes loneliness as a moderator. An online questionnaire survey was carried out, valid data from 257 respondents, and was analyzed with SPSS, AMOS and SmartPLS 2.0.
Analysis reveals that: (1) para-social interaction affects broadcaster identification (2) broadcaster identification affects continuous watching intention (3) loneliness partially moderates the impact of broadcaster identification on continuous watching intention; and (4) different live streaming genres have different determinants for user intentions.

關鍵字(中)

★ 直播
★ 擬社會互動
★ 社會認同
★ 持續使用意圖

關鍵字(英)

★ streaming
★ para-social
★ social identity
★ continuous use intention

論文目次

目錄
第一章緒論 1
1-1 研究背景 1
1-2 研究動機 1
1-3 研究目的 2
第二章文獻探討 3
2-1 直播 3
2-2 擬社會互動 4
2-3 社會認同理論 5
2-4 社會寂寞感 7
2-5 持續使用意圖 9
第三章研究方法 11
3-1 研究架構與假說 11
3-2 研究變數之定義與操作 15
3-3 研究設計 19
3-4 資料分析方法 19
第四章資料分析 21
4-1 樣本描述性統計分析 21
4-2 問卷量表之信度與效度檢驗 23
4-3 研究假說檢定 26
4-4 小結 31
4-5 事後分析 32
第五章結論與討論 35
5-1 研究結果 35
5-2 研究貢獻 36
5-3 管理意涵 37
5-4 研究限制 37
參考文獻 39
英文文獻 39
中文文獻 44
網路文獻 45

參考文獻

1. Algesheimer, R., Dholakia, U. M., & Herrmann, A. (2005). The social influence of brand community: Evidence from European car clubs. Journal of marketing, 69(3), 19-34.
2. Ancu, M., & Cozma, R. (2009). MySpace politics: Uses and gratifications of befriending candidates. Journal of Broadcasting & Electronic Media, 53(4), 567-583.
3. Bagozzi, R. P., & Dholakia, U. M. (2002). Intentional social action in virtual communities. Journal of interactive marketing, 16(2), 2-21.
4. Bagozzi, R. P., & Dholakia, U. M. (2006). Antecedents and purchase consequences of customer participation in small group brand communities. International journal of research in marketing, 23(1), 45-61.
5. Basil, M. D. (1996). Identification as a mediator of celebrity effects. Journal of Broadcasting & Electronic Media, 40(4), 478-495.
6. Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision support systems, 32(2), 201-214.
7. Bhattacherjee, A. (2001b). Understanding information systems continuance: an expectation-confirmation model. MIS quarterly, 351-370.
8. Brown, A. D. (2015). Identities and identity work in organizations. International Journal of Management Reviews, 17(1), 20-40.
9. Brown, W. J., & Basil, M. D. (2010). Parasocial interaction and identification: Social change processes for effective health interventions. Health Communication, 25(6-7), 601-602.
10. Chang, T.-Z., & Wildt, A. R. (1994). Price, product information, and purchase intention: An empirical study. Journal of the Academy of Marketing science, 22(1), 16-27.
11. Conway, J. C., & Rubin, A. M. (1991). Psychological predictors of television viewing motivation. Communication Research, 18(4), 443-463.
12. Cramer, K. M., Ofosu, H. B., & Barry, J. E. (2000). An abbreviated form of the social and emotional loneliness scale for adults (SELSA). Personality and Individual Differences, 28(6), 1125-1131.
13. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
14. Dholakia, U. M., Bagozzi, R. P., & Pearo, L. K. (2004). A social influence model of consumer participation in network-and small-group-based virtual communities. International journal of research in marketing, 21(3), 241-263.
15. DiTommaso, E., & Spinner, B. (1997). Social and emotional loneliness: A re-examination of weiss′ typology of loneliness. Personality and Individual Differences, 22(3), 417-427.
16. Dutton, J. E., Dukerich, J. M., & Harquail, C. V. (1994). Organizational images and member identification. Administrative science quarterly, 239-263.
17. Edwards, M. R. (2005). Organizational identification: A conceptual and operational review. International Journal of Management Reviews, 7(4), 207-230.
18. Ellemers, N., Kortekaas, P., & Ouwerkerk, J. W. (1999). Self-categorization, commitment to the group and social self-esteem as related but distinct aspects of social identity. European Journal of Social Psychology, 29, 371 – 389
19. Fitzgerald, D., & Wakabayashi, D. (2014). Apple quietly builds new networks. Wall Street Journal. Retrieved from https://www.wsj.com/articles/apple-quietly-builds-new-networks-1391474149?tesla=y (May 16, 2018)
20. Giles, D. C. (2002). Parasocial interaction: A review of the literature and a model for future research. Media psychology, 4(3), 279-305.
21. Grundberg, S., & Hansegard, J. (2014). YouTube’s biggest draw plays games, earns $4 million a year. The Wall Street Journal, 16. Retrieved from https://www.wsj.com/articles/youtube-star-plays-videogames-earns-4-million-a-year-1402939896 (May 18, 2018)
22. Hamilton, E. (2014). Entrepreneurial narrative identity and gender: a double epistemological shift. Journal of Small Business Management, 52(4), 703-712.
23. Hartmann, T., & Goldhoorn, C. (2011). Horton and Wohl revisited: Exploring viewers′ experience of parasocial interaction. Journal of communication, 61(6), 1104-1121.
24. Hilvert-Bruce, Z., Neill, J. T., Sjöblom, M., & Hamari, J. (2018). Social motivations of live-streaming viewer engagement on Twitch. Computers in Human Behavior, 84, 58-67.

25. Hogg, M. A., Abrams, D., Otten, S., & Hinkle, S. (2004). The Social Identity Perspective: Intergroup Relations, Self-Conception, and Small Groups. Small Group Research, 35(3), 246-276.
26. Hogg, M. A., Hains, S. C., & Mason, I. (1998). Identification and leadership in small groups: Salience, frame of reference, and leader stereotypicality effects on leader evaluations. Journal of Personality and Social Psychology, 75(5), 1248.
27. Hong, S.-J., & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: The case of mobile data services. Information systems research, 17(2), 162-179.
28. Horton, D., & Richard Wohl, R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215-229.
29. Horton, D., & Strauss, A. (1957). Interaction in audience-participation shows. American Journal of Sociology, 62(6), 579-587.
30. Hsu, C.-L., & Lu, H.-P. (2007). Consumer behavior in online game communities: A motivational factor perspective. Computers in Human Behavior, 23(3), 1642-1659.
31. 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.
32. Kelman, H. C. (1961). Processes of opinion change. Public Opinion Quarterly, 25, 57-58.
33. Kestnbaum, M., Robinson, J. P., Neustadtl, A., & Alvarez, A. (2002). Information technology and social time displacement. IT & Society, 1(1), 21-37.
34. Kim, J., Hong, S., Min, J., & Lee, H. (2011). Antecedents of application service continuance: A synthesis of satisfaction and trust. Expert Systems with Applications, 38(8), 9530-9542.
35. Kim, J., LaRose, R., & Peng, W. (2009). Loneliness as the cause and the effect of problematic Internet use: The relationship between Internet use and psychological well-being. CyberPsychology & Behavior, 12(4), 451-455.
36. Kuenzel, S., & Krolikowska, E. (2008). The effect of bonds on loyalty towards auditors: the mediating role of commitment. The Service Industries Journal, 28(5), 685-700.

37. Liu, S.-m., Liao, J.-q., & Wei, H. (2015). Authentic leadership and whistleblowing: Mediating roles of psychological safety and personal identification. Journal of Business Ethics, 131(1), 107-119.
38. McMillan, D. W., & Chavis, D. M. (1986). Sense of community: A definition and theory. Journal of community psychology, 14(1), 6-23.
39. Morahan-Martin, J. (1999). The relationship between loneliness and Internet use and abuse. CyberPsychology & Behavior, 2(5), 431-439.
40. Morahan-Martin, J., & Schumacher, P. (2003). Loneliness and social uses of the Internet. Computers in Human Behavior, 19(6), 659-671.
41. Oliver, R. L., Rust, R. T., & Varki, S. (1997). Customer delight: foundations, findings, and managerial insight. Journal of retailing, 73(3), 311-336.
42. Peplau, L. A., & Perlman, D. (1982). Perspectives on loneliness. Loneliness: A sourcebook of current theory, research and therapy, 1-20.
43. Postelnicu, M., & Cozma, R. (2007). Social network politics: A content analysis of MySpace profiles of political candidates. National Communication Association.
44. Rubin, A. M., Perse, E. M., & Powell, R. A. (1985). Loneliness, parasocial interaction, and local television news viewing. Human Communication Research, 12(2), 155-180.
45. Rubin, A. M., & Step, M. M. (2000). Impact of motivation, attraction, and parasocial interaction on talk radio listening. Journal of Broadcasting & Electronic Media, 44(4), 635-654.
46. Russell, D., Cutrona, C. E., Rose, J., & Yurko, K. (1984). Social and emotional loneliness: an examination of Weiss′s typology of loneliness. Journal of Personality and Social Psychology, 46(6), 1313.
47. Russell, D., Peplau, L. A., & Ferguson, M. L. (1978). Developing a measure of loneliness. Journal of personality assessment, 42(3), 290-294.
48. 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.
49. Skumanich, S., & Kintsfather, D. (1993). Television shopping: A mediated communications perspective. Pennsylvania Sociological Society.
50. Smith, T., Obrist, M., & Wright, P. (2013). Live-streaming changes the (video) game. Interactive TV and video.
51. Sood, S., & Rogers, E. M. (2000). Dimensions of parasocial interaction by letter-writers to a popular entertainment-education soap opera in India. Journal of Broadcasting & Electronic Media, 44(3), 386-414.
52. Stephens, D. L., Hill, R. P., & Bergman, K. (1996). Enhancing the consumer-product relationship: Lessons from the QVC home shopping channel. Journal of business research, 37(3), 193-200.
53. Stets, J. E., & Burke, P. J. (2000). Identity theory and social identity theory. Social psychology quarterly, 224-237.
54. Sullivan, H. S. (1953). The interpersonal theory of psychiatry. New York, NY, US: W W Norton & Co.
55. Tajfel, H. (1974). Social identity and intergroup behaviour. Information (International Social Science Council), 13(2), 65-93.
56. Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In S. Worchel & WG Austin (Eds.), Psychology of intergroup relations: 7-24. Chicago: Nelson-Hall.
57. Tajfel, H., & Turner, J. C. (1979). An integrative theory of intergroup conflict. The social psychology of intergroup relations, 33(47), 74.
58. Tang, J. C., Venolia, G., & Inkpen, K. M. (2016). Meerkat and periscope: I stream, you stream, apps stream for live streams. 2016 CHI Conference on Human Factors in Computing Systems.
59. Tiikkainen, P., & Heikkinen, R. L. (2005). Associations between loneliness, depressive symptoms and perceived togetherness in older people (Vol. 9).
60. Weiss, R. S. (1973). Loneliness: The experience of emotional and social isolation. Cambridge, MA: MIT Press.
61. Weiss, R. S. (1982). Issues in the study of loneliness. Loneliness: A sourcebook of current theory, research and therapy, 71-80.
62. Yeh, Y.-H., & Choi, S. M. (2011). MINI-lovers, maxi-mouths: An investigation of antecedents to eWOM intention among brand community members. Journal of Marketing Communications, 17(3), 145-162.
63. Zhou, T. (2011). Understanding online community user participation: a social influence perspective. Internet research, 21(1), 67-81.

中文文獻
1. 方毓賢 (2015)。探討使用社群媒體轉發線上內容之意願。國立中央大學資訊管理研究所博士論文。
2. 朱美慧 (2000)。我國大專學生個人特性、網路使用行為與網路成癮關係之研究。私立大葉大學資訊管理所碩士論文。
3. 李亞 (2017)。直播:獲利全攻略：從網紅主播、幕後推手到平臺經營，立馬搞懂直播產業鏈與周邊商機。台北：大世文化公司。
4. 李睿書 (2016)。社群媒體行銷活動對持續使用意圖影響之實證研究。國立大同大學資訊經營所碩士論文。
5. 邱鈺婷 (2012)。探討在名人微博上影響粉絲信任意圖之因素研究。國立中正大學電訊傳播研究所碩士論文。
6. 邱瓊慧 (2000)。成年前期女性寂寞經驗與適應歷程。國立彰化師範大學輔導與諮商研究所碩士論文。
7. 張如佩 (2013)。臉書主動資訊揭露與負面情緒和寂寞的關係。國立交通大學資訊科學與工程研究所碩士論文。
8. 張淑楨 (2008)。社交焦慮與孤獨感之線上聊天行為。國立臺北大學資訊管理研究所碩士論文。
9. 陳佑好 (2016)。運動賽事線上直播服務屬性偏好之研究 - 以聯合分析法探討。國際體育事務碩士論文。
10. 陳金英 (2004)。網路使用習性、網路交友期望與社交焦慮之分析。資訊社會研究，7，111-145。
11. 陳威珞 (2012)。Justin TV 網路影音直播平台使用行為研究。國立中正大學傳播學系電訊傳播研究所學位論文。
12. 陳建銘 (2015)。遊戲直播網站忠誠度與持續使用意圖之研究：以Twitch TV為例。國立東華大學資訊管理研究所碩士論文。
13. 蔡府錦 (2018)。網路影音直播實況主評選模式之建立與應用。私立世新大學傳播管理學研究所碩士論文。
14. 鄭佳興 (2017)。臉書直播主的互動模式與印象管理之研究。私立世新大學公共關係暨廣告學研究所研究所碩士論文。
15. 簡嘉裕 (2017)。中國網路直播平臺行銷應用之技術報告-以法國嬌蘭2016年中國行銷方案為例。私立世新大學傳播管理學研究所碩士論文。
16. 蘇文進 (2014)。大學生的網路使用與其寂寞及憂鬱之關係研究。高雄師大學報: 教育與社會科學類，37，27-49。

網路文獻

1. CNNIC (2016)。第37次中國互聯網統計報告，中國互聯網信息中心，2018 年 5 月 29 日取自：
https://www.cnnic.net.cn/hlwfzyj/hlwxzbg/201601/P020160122469130059846.pdf
2. Leslie, C. (2015). 100 million people are watching Twitch every month. The Daily Dot. 2018 年 5 月 20 日取自： https://dotesports.com/league-of-legends/news/twitch-2014-year-in-review-1308
3. TWNIC (2017)。2017 年台灣寬頻網路使用調查報告，財團法人台灣網路資訊中心，2018 年 5 月 18 日取自：
https://www.twnic.net.tw/download/200307/20170721e.pdf
4. 創市際 (2017)。創市際2017合作專題一：台灣直播市場「台灣網友直播看什麼？」調查，2018 年 4 月 28 日取自：http://www.ixresearch.com/news/news_07_06_17
5. 資策會 (2017)。直播大調查系列一，資策會產業情報研究所，2018年 4月15日取自：
https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=475
6. 資策會 (2017)。直播大調查系列二，資策會產業情報研究所，2018年 4月15日取自：
https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=476

指導教授

范錚強

審核日期

2018-7-4

推文