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研究生:洪純雅
研究生(外文):CHUN-YA HUNG
論文名稱:影響臉書使用者持續關注企業粉絲專頁貼文意願之因素
論文名稱(外文):Exploring the Factors Influencing Facebook Users’ Continuous Follow Intention toward Posts on Firm-Oriented Fan Page
指導教授:柯秀佳柯秀佳引用關係
指導教授(外文):HSIU-CHIA KO
口試委員:吳梅君黃莉君陳怜秀鄭秀華柯秀佳
口試委員(外文):MEI-CHUN WULI-CHUN HUANGLING-HSIU CHENHSIU-HUA CHENGHSIU-CHIA KO
口試日期:2016-07-25
學位類別:碩士
校院名稱:朝陽科技大學
系所名稱:資訊管理系
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:122
中文關鍵詞:粉絲專頁關注意願刺激-有機體-反應理論思考可能模式內容品質獎勵娛樂品牌知名度互動性
外文關鍵詞:Fan PageFollow IntentionS-O-R ModelELM ModelInformation QualityRewardsEntertainmentBrand AwarenessInteractivity
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  粉絲專頁可以協助企業傳遞產品相關訊息予潛在或既有客戶,並維護與顧客的關係,因此備受企業的矚目。但是,在粉絲之時間資源有限的情況下,企業粉絲專頁的貼文不見得有機會被粉絲觀看到。因此,瞭解影響粉絲主動持續關注粉絲專頁貼文之意願的因素是個重要的研究問題。
  本研究以刺激-有機體-反應理論及思考可能模式為基礎,探討企業粉絲專頁貼文內容之刺激因素如何影響粉絲持續關注貼文的意願。本研究先透過線上文本的分析探索企業專頁之貼文內容中可能包含的中央及邊陲刺激因素,並透過問卷調查法進一步驗證這些因素及其組合對粉絲之態度、情緒反應、及持續關注貼文意願的影響。本研究以Facebook的企業粉絲專頁為研究場域。研究結果發現內容品質、品牌知名度、及互動性會正向影響粉絲對專頁的態度;而內容品質、娛樂、及互動性則正向影響粉絲的情緒反應。此外,粉絲對專頁的態度及情緒反應亦會正向影響粉絲持續關注貼文的意願。研究結果並顯示,內容品質與獎勵的刺激因素組合會正向影響粉絲的情緒反應。最後,透過研究結果與實務意涵的討論,提出實質建議予企業粉絲專頁經營者及其他研究者進行未來相關研究的參考。

  A Fan page of Facebook can help firms to deliver commercial messages to exist and potential customers, as well as maintain customer relationships, which has made it gain a lot of attention. However, due to the limitation of time resource, the messages posted on fan page may not be exposed to followers effectively. Therefore, understanding the factors that drive fans to continue follow the posts on a firm’s fan page actively is a vital research issue.
  Based on the Stimulus-Organism-Response Model (S-O-R) and Elaboration Likelihood Model (ELM), this study explores what the stimulus on posts of firm-oriented fan pages influence fans’ willingness toward following fan page posts. This study firstly explores the central cues and peripheral cues which may be included on posts by analyzing the content of popular firm-oriented posts. Second, through the survey method, this study further verifies the influence of these factors and their combinational effects on fans’ attitude, emotions, and continuous follow intention toward posts.
  The results revealed that information quality, brand awareness, and interactivity would enhance fans’ positive attitude toward a fan page. Moreover, information quality, entertainment, and interactivity have positive influence on fans’ emotion of posts. The research results also show that the attitude toward a fan page and emotions of posts would increase fans’ continuous follow intention. Finally, through the discussion of theoretical and practical implications, this study proposes several suggestions to fan page operators and future researchers.

目錄
摘要 I
Abstract II
誌謝 III
第一章、序論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究目的 7
第四節 研究流程 9
第二章、理論與文獻探討 11
第一節 粉絲專頁 11
第二節 思考可能模式 18
第三節 S-O-R模式 26
第四節 文本分析結果 34
第三章、研究模式與假說推導 45
第一節 假說推導 45
第二節 研究模式 52
第四章、研究方法 54
第一節 問卷設計與操作型定義 54
第二節 資料分析方法與工具 63
第五章、資料分析 68
第一節 基本資料分析 68
第二節 因素分析及信效度分析 73
第三節 研究模式與假說檢定 80
第四節 交互作用 84
第六章、結論與研究貢獻 86
第一節 研究結果與討論 86
第二節 研究貢獻 94
第三節 研究限制及未來研究方向建議 98
參考文獻 100
附錄原始問卷 106

表目錄
表2-1:粉絲專頁過去文獻整理 16
表2-2:ELM過去研究整理 24
表2-3:S-O-R模式過去研究整理 32
表2-4:貼文內容的統整 36
表2-5:受歡迎之粉絲專頁貼文可能包含的刺激元素 38
表3-1:研究假說彙整表 53
表4-1:內容品質之衡量問項 55
表4-2:獎勵之衡量問項 56
表4-3:娛樂之衡量問項 57
表4-4:品牌知名度之衡量問項 58
表4-5:互動性之衡量問項 59
表4-6:情緒之衡量問項 60
表4-7:態度之衡量問項 61
表4-8:持續關注意願之衡量問項 62
表4-9:研究構念操作型定義匯整表 62
表4-10:資料分析流程 67
表5-1:研究樣本基本資料分析 71
表5-2:驗證性因素分析與單一構念性檢定 75
表5-3:研究模式各構念的平均數、標準差、相關係數、AVE、CR、及 AVE 的平方根 78
表5-4:研究模式各構念的交叉負荷量 79
表5-5:研究假說驗證結果彙整表 82
表5-6:內容品質(IQ) 獎勵(IC)對情緒反應的影響 85

圖目錄
圖1-1:本研究之研究流程 10
圖2-1:ELM模式 19
圖2-2:S-O-R模式 27
圖2-3:生鮮市集產品折扣訊息 39
圖2-4:好吃宅配網產品折扣訊息 39
圖2-5:瘋狂賣客抽獎貼文 40
圖2-6:7-11抽獎貼文 40
圖2-7:GOMAJI的娛樂貼文 41
圖2-8:瘋狂賣客的娛樂貼文 41
圖2-9:17Life發表具品牌知名度產品貼文 42
圖2-10:好吃宅配網的互動貼文 43
圖2-11:瘋狂賣客的互動貼文 43
圖2-12:內容品質獎勵 44
圖2-13:品牌知名度獎勵 44
圖3-1:研究模式 52
圖5-1:PLS研究模式驗證結果 82
圖6-1:17Life娛樂貼文 91
圖6-2:瘋狂賣客娛樂貼文 91
圖6-3:Gomaji品牌知名度貼文 93
圖6-4:7-11品牌知名度貼文 93
Abratt, R., & Smythe, M. R. (1989). A Survey of Sales Incentive Programs. Industrial Marketing Management, 18(3), 209-214.
Agarwal, R., & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies? Decision Sciences, 30(2), 361-390.
Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management, 44, 263-275.
Al-Debei, M. M., Al-Lozi, E., & Papazafeiropoulou, A. (2013). Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective. Decision Support Systems, 55, 43-54.
Al-Nasser, M., Yusoff, R. Z., Islam, R., & ALNasser, A. (2015). Effects of consumers' trust and attitude toward online shopping. American Journal of Economics and Business Administration, 6(2), 58-71.
Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quarterly, 33(2), 339-370.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16(1), 74-94.
Baker, J., Grewal, D., & Levy, M. (1992). An experimental approach to making retail store environmental decisions. Journal of Retailing, 68(4), 445-460.
Baker, J., & Levy, M. (1992). An experimental approach to making retail store environmental decisions. Journal of Retailing, 68(4), 445-460.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS Quarterly, 30(4), 805-825.
Bock, G.-W., Zmud, R. W., & Kim, Y.-G. (2005). Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Quarterly, 29(1), 87-111.
Brengman, M., & Geuens, M. (2004). The four dimensional impact of color on shopper's emotions. Advances in Consumer Research, 31, 122-128.
Chen, B. (2016). 廣告收入飆漲,Facebook 2015 第四季營收 58.4 億美元創新高. Retrieved Jun 7, 2016, from http://finance.technews.tw/2016/01/28/facebook-q4-2015-earnings/
Chin, W. W. (1998). The partial least squares approach for structural equation modeling.
Collins, R. P., Litman, J. A., & Spielberger, C. D. (2004). The measurement of perceptual curiosity. Personality and Individual Differences, 36(5), 1127-1141.
Coyle, J. R., & Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of Advertising, 30(3), 65-77.
Cvijikj, I. P., & Michahelles, F. (2013). Online engagement factors on Facebook brand pages. Social Network Analysis and Mining, 3(4), 843-861.
Cyr, D., Head, M., & 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.
Cyr, D., Lim, E., Head, M., & Stibe, A. (2015). The art of online persuasion through design: The role of issue involvement as it influences users based on prior knowledge. Paper presented at the Proceedings of the Fourteenth Annual Workshop on HCI Research in MIS.
Donovan, R. J., Rossiter, J. R., Marcoolyn, G., & Nesdale, A. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, 70(3).
Engel, J. F., Blackwell, R. D., & Kollat, D. T. (1995). Consumer Behavior. 8th ed. The Dryden Press: Harcourt Brace College Publisher.
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, 177-184.
Facebook. 粉絲專頁基本入門. Retrieved Mar 7, 2016, from https://www.facebook.com/help/www/281592001947683/
Hair, J., Tatham, R. L., Anderson, R., & Black, W. (1998). Multivariate data analysis(5th ed.). New Jersey: Prentice-Hall, Inc.
Hasan, B. (2010). Exploring gender differences in online shopping attitude. Computers in Human Behavior, 26, 597-601.
Ho, C.-W. (2014). Consumer behavior on Facebook: Does consumer participation bring positive consumer evaluation of the brand? EuroMed Journal of Business, 9(3), 252-267.
Huber, J., Landherr, A., Probst, F., & Reisser, C. (2012). Stimulating user activity on company fan pages in online social networks. Paper presented at the European Conference on Information Systems.
Hyun, S. S., Kim, W., & Lee, M. J. (2011). The impact of advertising on patrons' emotional responses, perceived value, and behavioral intentions in the chain restaurant industry: The moderating role of advertising-induced arousal. International Journal of Hospitality Management, 30, 689-700.
Jacoby, J. (2002). Stimulus-Organism-Response reconsidered: An evolutionary step in modeling (Consumer) behavior. Journal of Consumer Psychology, 12(1), 51-57.
Jahn, B., & Kunz, W. (2012). How to transform consumers into fans of your brand. Journal of Service Management, 23(3), 344-361.
Jain, V., Takayanagi, M., & Malthouse, E. C. (2014). Effects of show windows on female consumers' shopping behaviour. Journal of Consumer Marketing, 31(5), 380-390.
Jang, S., & Namkung, Y. (2009). Perceived quality, emotions, and behavioral intentions: Application of an extended Mehrabian - Russell model to restaurants. Journal of Business Research, 62, 451-460.
Jee, J., & Lee, W.-N. (2002). Antecedents and consequences of perceived interactivity: An exploratory study. Journal of Interactive Advertising, 3(1), 34-45.
Jung, N. Y., & Kim, S. (2014). Influence of consumer attitude toward online brand community on revisit intention and brand trust. Journal of Retailing and Consumer Services, 21, 581-589.
Kane, R. L., Johnson, P. E., Town, R. J., & Butler, M. (2004). A structured review of the effect of economic incentives on consumers' preventive behavior. American Journal of Preventive Medicine, 27(4), 327-352.
Kankanhalli, A., & Tan, B. C. Y. (2005). Contributing knowledge to electronic knowledge repositories: An empirical investigation. MIS Quarterly, 29(1), 113-143.
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, 7(1), 33-56.
Kline, R. B. (1998). Principles and practice of structural equation modeling: The Guilford Press.
Koo, D.-M., & Ju, S.-H. (2010). The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention. Computers in Human Behavior, 26, 377-388.
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
Kulviwat, S., II, G. C. B., Kumar, A., & Clark, S. A. N. a. T. (2007). Toward a unified theory of consumer acceptance technology. Psychology & Marketing, 24(12), 1059-1084.
Lee, S., Ha, S., & Widdows, R. (2011). Consumer responses to high-technology products: Product attrivutes, cognition, and emotions. Journal of Business Research, 64, 1195-1200.
Li, C.-Y. (2013). Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory. Computers in Human Behavior, 29, 264-275.
Lien, N.-H. (2001). Elaboration likelihood model in consumer research: A review. Paper presented at the Proceedings of the National Sciences Council.
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.
Lo, L., & Lin, S.-W. (2013). Three ways to convert browsing into impulse buying: Website streamline and decoration. Paper presented at the Management, Knowledge and Learning.
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, 29-39.
Luo, C., Luo, X. R., Schatzberg, L., & Sia, C. L. (2013). Impact of informational factors on online recommendation credibility: The moderating role of source credibility. Decision Support Systems, 56, 92-102.
Macdonald, E. K., & Sharp, B. M. (2000). Brand awareness effects on consumer decision making for a common, repeat purchase product: A replication. Journal of Business Research, 48, 5-15.
McColl-Kennedy, J. R., & Smith, A. K. (2006). Research on Emotion in Organizations: Emerald Group Publishing Limited.
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38, 217-230.
Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13-46.
Muruganantham, G., & Bhakat, R. S. (2013). A review of impulse buying behavior. International Journal of Marketing Studies, 5(3), 149-160.
Oh, H. (2000). The effect of brand class, brand awareness, and price on customer value and behavioral intentions. Journal of Hospitality & Tourism Research, 24(2), 136-162.
Perez, S. (2015). Consumers spend 85% of time on smartphones in apps, but only 5 apps see heavy use. Retrieved Mar 7, 2016, from http://techcrunch.com/2015/06/22/consumers-spend-85-of-time-on-smartphones-in-apps-but-only-5-apps-see-heavy-use/#.dhfn68:KDhY
Regina. (2013). 社群有雷慎入?!經營粉絲團五大行前心法(三). Retrieved Mar 7, 2016, from http://www.bnext.com.tw/article/view/id/27520
Roberts, K. K. (2010). Privacy and perceptions: How Facebook advertising affects its users. The Elon Journal of Undergraduate Research in Communications, 1(1), 24-34.
Ruiz-Mafe, C., Martí-Parreño, J., & Sanz-Blas, S. (2014). Key drivers of consumer loyalty to Facebook fan pages. Online Information Review, 38(3), 362-380.
Sherman, E., Mathur, A., & Smith, R. B. (1997). Store environment and consumer purchase behavior: Mediating role of consumer emotions. Psychology & Marketing, 14(4).
Sicilia, M., Ruiz, S., & Munuera, J. L. (2005). Effects of interactivity in a web site: The moderating effect of need for cognition. Journal of Advertising, 34(3), 31-44.
Sohn, D., Ci, C., & Lee, B.-K. (2007). The moderating effects of expectation on the patterns of the interactivity-attitude relationship. Journal of Advertising, 36(3), 261-271.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.
Tam, K. Y., & Ho, S. Y. (2005). Web personalization as a persuasion strategy: An elaboration likelihood model perspective. Information Systems Research, 16(3), 271-291.
TechNews. (2015). Facebook 宣布企業活躍專頁突破 5,000 萬,推出新專頁管理工具. Retrieved Mar 7, 2016, from http://technews.tw/2015/12/15/facebook-the-introduction-of-new-business-management-tools-designed-page/
Teo, H.-H., Wei, K.-K., & Benbasat, I. (2003). Predicting intention to adopt interorganizational linkages: An institutional perspective. Mis Quarterly, 19-49.
Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word-of-mouth versus traditional marketing: Findings from an internet social networking site. Journal of Marketing, 73(5), 90-102.
Vries, L. d., Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26, 83-91.
Wang, J.-C., & Chang, C.-H. (2013). How online social ties and product-related risks influence purchase intentions: A Facebook experiment. Electronic Commerce Research and Applications, 12, 337-346.
Wbster, J., Heian, J. B., & Michelman, J. E. (1990). Computer training and computer anxiety in the educational process: An experimental analysis. Paper presented at the International Conference on Information Systems.
Xie, T., Donthu, N., Lohtia, R., & Osmonbekov, T. (2004). Emotional appeal and incentive offering in banner advertisements. Journal of Interactive Advertising, 4(2), 30-37.
Xu, Y. (2007). Impact of store environment on adult generation Y consumers' impulse buying. Journal of Shopping Center Research, 14(1), 39-56.
Yi, M. Y., Yoon, J. J., Davis, J. M., & Lee, T. (2013). Untangling the antecedents of initial trust in Web-based health information:The roles of argument quality, source expertise, and user perceptions ofinformation quality and risk. Decision Support Systems, 55, 284-295.
Zajonc, R. B., Markus, H., & Wilson, W. R. (1974). Exposure effects and associative learning. Journal of Experimental Social Psychology, 10, 248-263.
Zhao, L., Lu, Y., & Gupta, S. (2012). Disclosure intention of location-related information in location-based social network services. International Journal of Electronic Commerce, 16(4), 53-90.
Zhou, T. (2012). Understanding users' initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28, 1518-1525.
張國雄. (2015). 行銷管理創新與挑戰 (Vol. 4): 雙葉圖書.
莊瑞萌. (2012). 調查:粉絲專頁點讚族七成純捧場. Retrieved Mar 7, 2016, from https://tw.news.yahoo.com/%E8%AA%BF%E6%9F%A5-%E7%B2%89%E7%B5%B2%E5%B0%88%E9%A0%81%E9%BB%9E%E8%AE%9A%E6%97%8F-%E4%B8%83%E6%88%90%E7%B4%94%E6%8D%A7%E5%A0%B4-063700487.html
陳正健. (2014). 臉書最討厭行為過度張貼自身資訊. Retrieved Mar 7, 2016, from https://anntw.com/articles/20140204-ocsb
創市際. (2015). 社群服務調查與台灣社群服務類型網站使用概況. Retrieved Jun 7, 2016, from http://www.ixresearch.com/reports/%E5%89%B5%E5%B8%82%E9%9A%9B%E9%9B%99%E9%80%B1%E5%88%8A%E7%AC%AC%E5%9B%9B%E5%8D%81%E5%9B%9B%E6%9C%9F-20150715/
羅之盈. (2015). 誰是你的雲端情人. Retrieved Mar 7, 2016, from http://www.cw.com.tw/article/article.action?id=5070178


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