跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.44) 您好!臺灣時間:2026/01/03 05:09
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:吳苡瑄
研究生(外文):WU, YI-HSUAN
論文名稱:資訊有用性與影響力行銷對貼文態度與購買意圖之衝擊研究
論文名稱(外文):The Impact of Information Usefulness and Influencer Marketing on the Attitude Toward Post and Purchase Intention
指導教授:莊煥銘莊煥銘引用關係
指導教授(外文):CHUANG, HUAN-MING
口試委員:施東河張育瑋
口試委員(外文):SHIH, DONG-HERCHANG, YU-WEI
口試日期:2021-07-22
學位類別:碩士
校院名稱:國立雲林科技大學
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:2021
畢業學年度:109
語文別:中文
論文頁數:62
中文關鍵詞:推敲可能性模型貼文態度網路名人知覺說服力購買意圖
外文關鍵詞:Elaboration likelihood modelPosts attitudeInternet celebrityPerceived persuasivenessPurchase intention
相關次數:
  • 被引用被引用:3
  • 點閱點閱:430
  • 評分評分:
  • 下載下載:122
  • 收藏至我的研究室書目清單書目收藏:1
隨著資訊科技的發展,手機的使用更加普及,加入社群媒體的人也日益增加,這些因網路走紅的網路名人如今成為熱門討論的話題。新興媒體的發展,最能顯示其含義的就是網紅經濟、影響力行銷,品牌透過網路名人可以以更具社交性和互動性的方式提供有關產品的訊息。因此藉由網路名人與社群媒體行銷的品牌/贊助者該如何提升消費者的購買意圖以及贊助者與網路名人之間的商業合作如何讓消費者信任成為重要的議題。
本研究以網路問卷的方式收集樣本資料,使用SmartPLS 3進行分析。採用推敲可能性模型與資訊採用模型的概念作為理論架構,探討資訊有用性與影響力行銷對貼文態度與購買意圖之影響,研究結果顯示當消費者在瀏覽社群媒體的貼文時,主要影響消費者對貼文態度與知覺說服力為粉絲專頁的論述品質與該貼文的資訊有用性,贊助者掌控網路名人發布的貼文會使消費者信任網路名人,而比起網路名人影響消費者知覺粉絲專頁內容的說服力,消費者更關注於貼文是否能獲得有用的資訊。

With the development of information technology, the use of mobile phones has become more popular, and the number of people joining social media is also increasing. These internet celebrities who have become popular on the Internet are hot topic of discussion now. The development of social media can best show its meaning in internet celebrity economy and influence marketing. Brands can provide information about products in a more social and interactive way through internet celebrities. Therefore, how the brand/sponsor who is marketing by internet celebrities and social media can enhance consumers' purchasing intentions and how the commercial cooperation between sponsors and internet celebrities can make consumers trust has become an important issue.
This study collected sample data through online questionnaires and used SmartPLS 3 for analysis. To explore the impact of information usefulness and influence marketing on post attitudes and purchase intentions, using the concepts of Elaboration Likelihood Model and Information Adoption Model as the theoretical framework. The research results show that when consumers browse posts on social media, they mainly influencing consumers’ attitudes and perceived persuasiveness of a post is the argument quality of the fan page’s and the information usefulness of the posts. The sponsor’s control over the posts published by the internet celebrity will make consumers trust the internet celebrity, compared to the internet celebrities influence consumers' perception of the persuasiveness of fan page content, and consumers pay more attention to whether posts can obtain useful information.

摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
表目錄 vi
圖目錄 vii
第一章、緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
第二章、文獻探討 3
2.1 影響力行銷中的影響者 3
2.1.1影響者的可信度 4
2.1.2信任網路名人 5
2.2 推敲可能性模型 5
2.2.1論述品質 6
2.3 資訊採用與資訊有用性 7
2.3.1資訊有用性 8
2.4 贊助者掌控貼文與貼文推銷導向 8
2.5 知覺說服力 9
2.6 對貼文的態度與回應行為 10
第三章、研究方法 11
3.1 研究架構 11
3.2 研究假設 12
3.2.1 主要路徑 12
3.2.2 外圍路徑 12
3.2.3 資訊有用性 13
3.2.4 信任網路名人 14
3.2.5 知覺說服力 14
3.2.6 貼文態度 15
3.2.7 回應行為與購買意圖 15
3.3 概念型定義 16
3.4 研究變數之問項 17
3.5 研究設計 24
3.5.1 抽樣設計 24
3.5.2 問卷設計 24
3.5.3 資料分析方法 24
第四章、研究結果與分析 25
4.1 敘述性統計分析 25
4.1.1 個人基本資料之敘述性統計 25
4.1.2 研究構面之敘述性統計 27
4.2 測量模型分析 28
4.2.1 信度分析 29
4.2.2 收斂效度 29
4.2.3 區別效度 31
4.3 結構模型 31
4.3.1 適配度分析 31
4.3.2 結構模型路徑分析 32
4.3.3 假說檢驗 33
4.3.4 影響效果分析 34
第五章、結論與建議 35
5.1 研究結果 35
5.1.1 論述品質與資訊有用性 35
5.1.2 贊助者掌控貼文對信任網路名人的影響 35
5.1.3 貼文推銷導向對信任網路名人的影響 36
5.1.4 信任網路名人與知覺說服力 36
5.1.5 貼文態度與消費者的回應行動、購買意圖 36
5.2 學術意涵 37
5.3 管理意涵 38
5.4 研究限制與未來研究建議 39
參考文獻 40
附錄 49
中文文獻
Digital Report 2020台灣報告,台灣網路生態大解析 (民110年4月)。取自 https://www.breaktime.com.tw/archives/6293
英文文獻
Alavi, M., Kayworth, T. R., & Leidner, D. E. (2005). An empirical examination of the influence of organizational culture on knowledge management practices. Journal of Management Information Systems, 22(3), 191-224.
Allison, T. H., Davis, B. C., Webb, J. W., & Short, J. C. (2017). Persuasion in crowdfunding: An elaboration likelihood model of crowdfunding performance. Journal of Business Venturing, 32(6), 707-725.
Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2016). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64, 843-858.
Amblee, N., & Bui, T. (2011). Harnessing the influence of social proof in online shopping: The effect of electronic word of mouth on sales of digital microproducts. International Journal of Electronic Commerce, 16(2), 91-114.
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, 339-370.
Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79-95.
Aral, S., Dellarocas, C., & Godes, D. (2013). Introduction to the special issue—social media and business transformation: a framework for research. Information Systems Research, 24(1), 3-13.
Arora, A., Bansal, S., Kandpal, C., Aswani, R., & Dwivedi, Y. (2019). Measuring social media influencer index-insights from Facebook, Twitter and Instagram. Journal of Retailing and Consumer Services, 49, 86-101.
Atkin, C., & Block, M. (1983). Effectiveness of celebrity endorsers. Journal of Advertising Research.
Ayeh, J. K. (2015). Travellers’ acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories. Computers in Human Behavior, 48, 173-180.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS quarterly, 805-825.
Boerman, S. C., Willemsen, L. M., & Van Der Aa, E. P. (2017). “This post is sponsored”: Effects of sponsorship disclosure on persuasion knowledge and electronic word of mouth in the context of Facebook. Journal of Interactive Marketing, 38, 82-92.
Bower, A. B., & Landreth, S. (2001). Is beauty best? Highly versus normally attractive models in advertising. Journal of Advertising, 30(1), 1-12.
Brynjolfsson, E., & Smith, M. D. (2000). Frictionless commerce? A comparison of Internet and conventional retailers. Management Science, 46(4), 563-585.
Cacioppo, J. T., & Petty, R. E. (1980). Persuasiveness of communications is affected by exposure frequency and message quality: A theoretical and empirical analysis of persisting attitude change. Current Issues and Research in Advertising, 3(1), 97-122.
Carpenter, C. J. (2015). A meta-analysis of the ELM's argument quality× processing type predictions. Human Communication Research, 41(4), 501-534.
Chang, H. H., Lu, Y.-Y., & Lin, S. C. (2020). An elaboration likelihood model of consumer respond action to facebook second-hand marketplace: Impulsiveness as a moderator. Information & Management, 57(2), 103171.
Chang, Y.-T., Yu, H., & Lu, H.-P. (2015). Persuasive messages, popularity cohesion, and message diffusion in social media marketing. Journal of Business Research, 68(4), 777-782.
Cheung, C. M., Lee, M., & Rabjohn, N. (2008). The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247.
Cheung, C. M., Lee, M. K., & Rabjohn, N. (2008). The impact of electronic word‐of‐mouth: The adoption of online opinions in online customer communities. Internet Research.
Cheung, C. M., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461-470.
Cheung, C. M.-Y., Sia, C.-L., & Kuan, K. K. (2012). Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective. Journal of the Association for Information Systems, 13(8), 2.
Crano, W. D., & Prislin, R. (2006). Attitudes and persuasion. Annu. Rev. Psychol., 57, 345-374.
Cyr, D., Head, M., Lim, E., & Stibe, A. (2018). Using the elaboration likelihood model to examine online persuasion through website design. Information & Management, 55(7), 807-821.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340.
De Veirman, M., Cauberghe, V., & Hudders, L. (2017a). Marketing Through Instagram Influencers : The Impact of Number of Followers and Product Divergence on Brand Attitude. International Journal of Advertising, 36(5), 798-828.
De Veirman, M., Cauberghe, V., & Hudders, L. (2017b). Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798-828.
Dibble, J. L., Hartmann, T., & Rosaen, S. F. (2016). Parasocial Interaction and Parasocial Relationship : Conceptual Clarification and a Critical Assessment of Measures. Human Communication Research, 42(1), 21-44.
Erdogan, B. Z. (1999). Celebrity endorsement: A literature review. Journal of Marketing Management, 15(4), 291-314.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 51-90.
Gefen, D., & Straub, D. (2000). The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. Journal of the Association for Information Systems, 1(8), 1-30.
Glucksman, M. (2017). The rise of social media influencer marketing on lifestyle branding: A case study of Lucie Fink. Elon Journal of Undergraduate Research in Communications, 8(2), 77-87.
Hair, J., Andreson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis. 5th (ed) Prentice-Hall Inc. Unites States of America.
Hair, J., Black, W., Babin, B., Anderson, R., & Tatham, R. (1998). Multivariate Data Analysis, vol. 5 Prentice Hall. Upper Saddle River, NJ.
Hair, J. F. Jr., Hult, G. T. M., Ringle, C. M., Sarstedt, M. (2014).A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications.
Hamid, A. A., Razak, F. Z. A., Bakar, A. A., & Abdullah, W. S. W. (2016). The effects of perceived usefulness and perceived ease of use on continuance intention to use e-government. Procedia Economics and Finance, 35, 644-649.
Hamouda, M. (2018). Understanding social media advertising effect on consumers’ responses: An empirical investigation of tourism advertising on Facebook. Journal of Enterprise Information Management.
Hong, I. B., & Cho, H. (2011). The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust. International Journal of Information Management, 31(5), 469-479.
Horton, D., & Richard Wohl, R. (1956). Mass Communication and Para-social Interaction : Observations on Intimacy at a Distance. Psychiatry, 19(3), 215-229.
Hwang, Y., & Jeong, S.-H. (2016). “This is a sponsored blog post, but all opinions are my own”: The effects of sponsorship disclosure on responses to sponsored blog posts. Computers in Human Behavior, 62, 528-535.
Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020a). The effect of characteristics of source credibility on consumer behaviour: A meta-analysis. Journal of Retailing and Consumer Services, 53.
Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020b). The effect of characteristics of source credibility on consumer behaviour: A meta-analysis. Journal of Retailing and Consumer Services, 53, 101736.
Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2(2), 032-040.
Jiang, J., Huang, Y.-H., Wu, F., Choy, H.-Y., & Lin, D. (2015). At the crossroads of inclusion and distance: Organizational crisis communication during celebrity-endorsement crises in China. Public Relations Review, 41(1), 50-63.
Jin, S. V., Muqaddam, A., & Ryu, E. (2019). Instafamous and social media influencer marketing. Marketing Intelligence & Planning.
Jung, N. Y., Kim, S., & Kim, S. (2014). Influence of consumer attitude toward online brand community on revisit intention and brand trust. Journal of Retailing and Consumer Services, 21(4), 581-589.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68.
Kay, S., Mulcahy, R., & Parkinson, J. (2020). When less is more: the impact of macro and micro social media influencers’ disclosure. Journal of Marketing Management, 36(3-4), 248-278.
Kim, H., Ko, E., & Kim, J. (2015). SNS users' para-social relationships with celebrities: social media effects on purchase intentions. Journal of Global Scholars of Marketing Science, 25(3), 279-294.
Lee, G., & Xia, W. (2011). A longitudinal experimental study on the interaction effects of persuasion quality, user training, and first-hand use on user perceptions of new information technology. Information & Management, 48(7), 288-295.
Lee, J. E., & Watkins, B. (2016). YouTube Vloggers' Influence on Consumer Luxury Brand Perceptions and Intentions. Journal of Business Research, 69(12), 5753-5760.
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(1), 264-275.
Li, K., Chen, Y., & Zhang, L. (2020). Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category. Journal of Retailing and Consumer Services, 55, 102107.
Liaw, S.-S., & Huang, H.-M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education, 60(1), 14-24.
Lou, C., Tan, S.-S., & Chen, X. (2019). Investigating Consumer Engagement with Influencer-vs. Brand-Promoted ads: The Roles of Source and Disclosure. Journal of Interactive Advertising, 19(3), 169-186.
Lou, C., & Yuan, S. (2019). Influencer marketing: how message value and credibility affect consumer trust of branded content on social media. Journal of Interactive Advertising, 19(1), 58-73.
Mardia, K. (1985). Mardia's Test of Multinormality. S Kotz, NL Johnson (eds) Encyclopedia of Statistical Sciences, 5; 217-221. In: New York: Wiley.
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11(3), 320-341.
Martínez-López, F. J., Anaya-Sánchez, R., Esteban-Millat, I., Torrez-Meruvia, H., D’Alessandro, S., & Miles, M. (2020). Influencer marketing: brand control, commercial orientation and post credibility. Journal of Marketing Management, 1-27.
McCracken, G. (1989). Who is the celebrity endorser? Cultural foundations of the endorsement process. Journal of Consumer Research, 16(3), 310-321.
Moslehpour, M., Pham, V. K., Wong, W.-K., & Bilgiçli, İ. (2018). E-purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234.
Mou, J., Shin, D.-H., & Cohen, J. (2017). Understanding trust and perceived usefulness in the consumer acceptance of an e-service: a longitudinal investigation. Behaviour & Information Technology, 36(2), 125-139.
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39-52.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and Persuasion (pp. 1-24). Springer.
Petty, R. E., Cacioppo, J. T., & Goldman, R. (1981). Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology, 41(5), 847.
Petty, R. E., Cacioppo, J. T., & Schumann, D. (1983). Central and peripheral routes to advertising effectiveness: The moderating role of involvement. Journal of Consumer Research, 10(2), 135-146.
Racherla, P., & Friske, W. (2012). Perceived ‘usefulness’ of online consumer reviews: An exploratory investigation across three services categories. Electronic Commerce Research and Applications, 11(6), 548-559.
Rahmi, B., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4-42.
Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44-65.
Rihl, A., & Wegener, C. (2019). YouTube celebrities and parasocial interaction: Using feedback channels in mediatized relationships. Convergence, 25(3), 554-566.
Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systems. Information & Management, 45(6), 376-386.
Santilli, P. C. (1983). The informative and persuasive functions of advertising: A moral appraisal. Journal of Business Ethics, 2(1), 27-33.
Schnall, R., Higgins, T., Brown, W., Carballo-Dieguez, A., & Bakken, S. (2015). Trust, perceived risk, perceived ease of use and perceived usefulness as factors related to mHealth technology use. Studies in Health Technology and Informatics, 216, 467.
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.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations : An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.
Vernuccio, M., & Ceccotti, F. (2015). Strategic and organisational challenges in the integrated marketing communication paradigm shift: A holistic vision. European Management Journal, 33(6), 438-449.
Visentin, M., Pizzi, G., & Pichierri, M. (2019). Fake news, real problems for brands: The impact of content truthfulness and source credibility on consumers' behavioral intentions toward the advertised brands. Journal of Interactive Marketing, 45, 99-112.
Xiao, Y., & Xiao, L. (2020, November). Effects of Anonymity on Comment Persuasiveness in Wikipedia Articles for Deletion Discussions. In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science (pp. 104-115).
Wagenknecht, T., Teubner, T., & Weinhardt, C. (2018). A Janus-faced matter—The role of user anonymity for communication persuasiveness in online discussions. Information & Management, 55(8), 1024-1037.
Wagner, T. F., Baccarella, C. V., & Voigt, K.-I. (2017). Framing social media communication: Investigating the effects of brand post appeals on user interaction. European Management Journal, 35(5), 606-616.
Walker, M., Langmeyer, L., & Langmeyer, D. (1992). Commentary: celebrity endorsers: do you get what you pay for? Journal of Services Marketing.
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.
Wang, S. W., & Scheinbaum, A. C. (2017). Trustworthiness trumps attractiveness and expertise: enhancing brand credibility through celebrity endorsement. Journal of Advertising Research.
Watts, S. A., & Zhang, W. (2008). Capitalizing on content: Information adoption in two online communities. Journal of the Association for Information Systems, 9(2), 3.
Weston, R., & Gore Jr, P. A. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34(5), 719-751.
Wibowo, A., Chen, S.-C., Wiangin, U., Ma, Y., & Ruangkanjanases, A. (2021). Customer behavior as an outcome of social media marketing: The role of social media marketing activity and customer experience. Sustainability, 13(1), 189.
Woods, S. (2016). # Sponsored: The emergence of influencer marketing.
Zhang, J., & Mao, E. (2016). From online motivations to ad clicks and to behavioral intentions: An empirical study of consumer response to social media advertising. Psychology & Marketing, 33(3), 155-164.
Zhang, K. Z., Zhao, S. J., Cheung, C. M., & Lee, M. K. (2014). Examining the influence of online reviews on consumers' decision-making: A heuristic–systematic model. Decision Support Systems, 67, 78-89.
Zhao, X. R., Wang, L., Guo, X., & Law, R. (2015). The influence of online reviews to online hotel booking intentions. International Journal of Contemporary Hospitality Management.
Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133-148.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊