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博碩士論文 etd-0807123-221610 詳細資訊
Title page for etd-0807123-221610
論文名稱
Title
是好用還是流行?探討影響串流影音訂閱意圖之因素
Exploring Factors Influencing Stream-Media Subscriptions
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
76
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2023-09-06
繳交日期
Date of Submission
2023-09-07
關鍵字
Keywords
串流影音平台、網路口碑、論述強度、來源可信度、同質性、感知易用性、流行生活傾向
streaming video platform, electronic word-of-mouth, argument strength, source credibility, homophily, perceived ease of use, fashion lifestyle trends
統計
Statistics
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The thesis/dissertation has been browsed 170 times, has been downloaded 0 times.
中文摘要
線上串流媒體服務在多螢幕時代,逐漸成為消費者心中最重要的各式影音節目觀看方式,但時至今日串流平台的競爭白熱化,消費者訂閱疲勞也成為經營串流媒體的一大挑戰,串流媒體公司在這樣的環境下需要不斷尋求讓自己與眾不同以增加消費者的訂閱。
根據Netflix本身在2023年第一季公布的財報就看到,其用戶訂閱數流失約20萬用戶,其他如Disney+的營運虧損也仍是在逐漸的擴大,在串流媒體經營困難的狀況持續下,加上市場仍有各類串流平台不斷竄出,所以不管是其廣告業務或是用戶訂閱數都成為各平台管理階層亟欲提升的項目,更成為串流媒體內部行銷從業人員不斷思考以何種策略突破困境的重要課題之一。
對此,本研究以現今串流媒體平台為例,探討消費者不論是否曾使用過串流平台,在接觸較新的串流平台(例如:Giloo、GP+等)前其參考網路口碑對於消費者訂閱意願的影響。本研究採量化研究法,使用網路問卷進行資料之蒐集,透過對網路口碑的「論述強度」、「來源可信度」與「同質性」加上「感知易用性」及「流行生活傾向」作為干擾變數,來分析及驗證研究假設。
研究結果顯示,消費者接受網路口碑時感知到的「論述強度」、「來源可信度」與「同質性」與其訂閱意願呈現正相關,且在閱讀網路口碑的同時感受到串流平台的「易用性」,及網路口碑發送者同具「流行生活傾向」時也會強化其對訂閱意願的影響。
Abstract
In the multi-screen era, online streaming media services have gradually become the most important way for consumers to watch various audio and video programs. However, competition among streaming platforms has become fierce today, and consumer subscription fatigue has also become a major problem for operating streaming media. Challenges, streaming companies in this environment need to constantly seek to differentiate themselves in order to increase consumer subscriptions.
According to the financial report released by Netflix itself in the first quarter of 2023, it can be seen that its user subscriptions have lost approximately 200,000 users, and other operating losses such as Disney+ are still gradually expanding. As the operating difficulties of streaming media continue, and there are still various streaming platforms emerging in the market, so both their advertising business and the number of user subscriptions have become items that the management of each platform is eager to improve. It has also become a constant consideration for internal marketing practitioners of streaming media. One of the important issues of which strategy to break through the predicament.
In this regard, this study takes today's streaming media platforms as an example to explore how consumers, regardless of whether they have used streaming platforms before, refer to online word-of-mouth before contacting newer streaming platforms (such as Giloo, GP+, etc.). impact on subscribers’ willingness to subscribe. This study adopts a quantitative research method and uses online questionnaires to collect data. Through the "discourse strength", "source credibility" and "homogeneity" of online word-of-mouth, plus "perceived ease of use" and " "Popular life trends" are used as interference variables to analyze and verify the research hypotheses.
The research results show that the "discourse strength", "source credibility" and "homogeneity" perceived by consumers when accepting online word-of-mouth are positively related to their subscription intention, and they feel streamed while reading online word-of-mouth The "ease of use" of the platform and the "popular lifestyle tendencies" of the online word-of-mouth senders will also strengthen its influence on subscription intention.
目次 Table of Contents
論文審定書 i
摘要 ii
Abstract iii
目錄 v
圖目錄 viii
表目錄 ix
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 2
第三節 研究問題與目的 4
第二章 文獻回顧 6
第一節 網路口碑 6
第二節 資訊接受模型 7
第三節 論述強度 9
第四節 來源可信度 10
第五節 同質性 10
第六節 生活型態 12
第三章 研究方法 13
第一節 研究架構 13
第二節 研究假說 13
一、 論述強度 13
二、 來源可信度 14
三、 發文者的同質性 14
四、 感知易用性 15
五、 流行生活傾向 16
第三節 研究方法與問卷蒐集 17
一、 研究樣本與資料蒐集 17
二、 問卷量表設計 17
第四節 研究變數與操作性定義 18
一、 論述強度 18
二、 來源可信度 18
三、 同質性 18
四、 感知易用性 19
五、 流行生活傾向 19
第五節 前測 19
第四章 資料分析 23
第一節 敘述性統計資料 23
第二節 信效度分析 25
第三節 假說驗證 28
一、 論述強度、來源可信度及同質性對訂閱意願之關聯與感知易用性和流行生活傾向作為干擾之階層迴歸分析 28
第五章 結論與建議 38
第一節 研究結果與發現 38
一、 論述強度、來源可信度及同質性對訂閱意願的影響 38
二、 感知易用性及流行生活傾向產生的調節效果 39
第二節 研究貢獻 40
一、 學術貢獻 40
二、 實務貢獻 41
三、 研究限制與未來研究方向 42
參考文獻 43
附錄1-正式問卷 61



圖目錄
圖3- 1研究架構 13

圖4- 1論述強度與感知易用性斜率圖 29
圖4- 2來源可信度與感知易用性斜率圖 31
圖4- 3同質性與感知易用性斜率圖 32
圖4- 4論述強度與流行生活傾向斜率圖 34
圖4- 5來源可信度與流行生活傾向斜率圖 35
圖4- 6同質性與流行生活傾向斜率圖 36


表目錄
表3- 1前測之信效度分析 22

表4- 1人口統計變數 24
表4- 2使用串流影音平台經驗 24
表4- 3 信效度分析 27
表4- 4論述強度與感知易用性迴歸分析 29
表4- 5來源可信度與感知易用性迴歸分析 30
表4- 6同質性與感知易用性迴歸分析 32
表4- 7論述強度與流行生活傾向迴歸分析 33
表4- 8來源可信度與流行生活傾向迴歸分析 35
表4- 9同質性與流行生活傾向迴歸分析 36
表4- 10研究假說結果統整 37
參考文獻 References
一、中文參考文獻

吳明隆, & 涂金堂. (2014). SPSS 與統計應用分析. 五南圖書出版股份有限公司.
Story, D. A., & Tait, A. R. (2019). Survey research. Anesthesiology, 130(2), 192-202.

二、英文參考文獻

Agreste, S., De Meo, P., Ferrara, E., Piccolo, S., & Provetti, A. (2015). Trust networks: Topology, dynamics, and measurements. IEEE Internet Computing, 19(6), 26-35.
Al-Natour, S., Benbasat, I., & Cenfetelli, R. (2011). The adoption of online shopping assistants: Perceived similarity as an antecedent to evaluative beliefs. Journal of the association for Information Systems, 12(5), 2.
Aladwani, A. M. (2002). The development of two tools for measuring the easiness and usefulness of transactional Web sites. European Journal of Information Systems, 11(3), 223-234.
Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411-454.
Alloy, L. B., & Tabachnik, N. (1984). Assessment of covariation by humans and animals: the joint influence of prior expectations and current situational information. Psychological review, 91(1), 112.
Anderson Jr, W. T., & Golden, L. L. (1984). Lifestyle and psychographics: A critical review and recommendation. Advances in Consumer Research, 11(1).
Andriyano, Y., & Rahmawati, D. (2016). Pengaruh persepsi kemudahan, persepsi kebermanfaatan, persepsi risiko dan kepercayaan terhadap minat menggunakan rekening ponsel (studi kasus pada nasabah CIMB Niaga Daerah Istimewa Yogyakarta). Jurnal Profita: Kajian Ilmu Akuntansi, 4(2).
Araujo, T., Neijens, P., & Vliegenthart, R. (2017). Getting the word out on Twitter: The role of influentials, information brokers and strong ties in building word-of-mouth for brands. International Journal of Advertising, 36(3), 496-513.
Ardyan, E., Kurniawan, D., Istiatin, I., Luhgiatno, L., & Morteza, A. (2021). Does customers’ attitude toward negative eWOM affect their panic buying activity in purchasing products? Customers satisfaction during COVID-19 pandemic in Indonesia. Cogent Business & Management, 8(1). https://doi.org/10.1080/23311975.2021.1952827
Association, M. P. (2022). 2021 THEME Report. https://www.motionpictures.org/research-docs/2021-theme-report/
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.
Ayeh, J. K., Au, N., & Law, R. (2013). “Do we believe in TripAdvisor?” Examining credibility perceptions and online travelers’ attitude toward using user-generated content. Journal of Travel Research, 52(4), 437-452.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the academy of marketing science, 16, 74-94.
Ba, S., & Johansson, W. C. (2008). An exploratory study of the impact of e‐service process on online customer satisfaction. Production and Operations Management, 17(1), 107-119.
Batra, R., & Keller, K. L. (2016). Integrating marketing communications: New findings, new lessons, and new ideas. Journal of Marketing, 80(6), 122-145.
Bautista, J., Lin, T., & Theng, Y. (2016). How and why users use social TV systems. A Systematic Review of User Studies. Piscataway, NJ: IEEE. Xs.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS quarterly, 805-825.
Bland, J. M., & Altman, D. G. (1997). Statistics notes: Cronbach's alpha. Bmj, 314(7080), 572.
Bueno, S., & Gallego, M. D. (2021). eWOM in C2C platforms: Combining IAM and customer satisfaction to examine the impact on purchase intention. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1612-1630.
Best, S. J., & Krueger, B. S. (2006). Online interactions and social capital: Distinguishing between new and existing ties. Social science computer review, 24(4), 395-410.
Bettman, J. R., & Park, C. W. (1980). Effects of Prior Knowledge and Experience and Phase of the Choice Process on Consumer Decision Processes: A Protocol Analysis. Journal of Consumer Research, 7(3), 234-248. https://doi.org/10.1086/208812
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information technology acceptance: An elaboration likelihood model. MIS quarterly, 805-825.
Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31-40.
Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2001). Consumer behavior 9th. South-Western Thomas Learning. Mason, OH.
Boo, S., & Kim, J. (2013). Comparison of negative eWOM intention: an exploratory study. Journal of Quality Assurance in Hospitality & Tourism, 14(1), 24-48.
Brown, J., Broderick, A. J., & Lee, N. (2007). Word of mouth communication within online communities: Conceptualizing the online social network. Journal of Interactive Marketing, 21(3), 2-20.
Brown, J. J., & Reingen, P. H. (1987). Social ties and word-of-mouth referral behavior. Journal of Consumer Research, 14(3), 350-362.
Brucks, M. (1985). The effects of product class knowledge on information search behavior. Journal of Consumer Research, 12(1), 1-16.
Brunsø, K., Scholderer, J., & Grunert, K. G. (2004). Closing the gap between values and behavior—a means–end theory of lifestyle. Journal of Business Research, 57(6), 665-670.
Cacioppo, J. T., Petty, R. E., & Morris, K. J. (1983a). Effects of need for cognition on message evaluation, recall, and persuasion. Journal of personality and social psychology, 45(4).
Cacioppo, J. T., Petty, R. E., & Morris, K. J. (1983b). Effects of need for cognition on message evaluation, recall, and persuasion. Journal of personality and social psychology, 45(4), 805.
Camilleri, M. A., & Falzon, L. (2020). Understanding motivations to use online streaming services: integrating the technology acceptance model (TAM) and the uses and gratifications theory (UGT). Spanish Journal of Marketing-ESIC.
Chakraborty, U., & Bhat, S. (2018). Credibility of online reviews and its impact on brand image. Management Research Review.
Chang, C.-C., Tsai, J.-M., Hung, S.-W., & Lin, B.-C. (2015). A hybrid decision-making model for factors influencing the purchase intentions of technology products: the moderating effect of lifestyle. Behaviour & Information Technology, 34(12), 1200-1214.
Chang, C.-C., Tsai, J.-M., Hung, S.-W., & Lin, B.-C. (2015). A hybrid decision-making model for factors influencing the purchase intentions of technology products: the moderating effect of lifestyle. Behaviour & Information Technology, 34(12), 1200-1214.
Chen, Y., & Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science, 54(3), 477-491.
Cheng, X., & Zhou, M. (2010). Study on effect of eWOM: A literature review and suggestions for future research. 2010 international conference on management and service science,
Cheong, H. J., & Morrison, M. A. (2008). Consumers’ Reliance on Product Information and Recommendations Found in UGC. Journal of Interactive Advertising, 8(2), 38-49. https://doi.org/10.1080/15252019.2008.10722141
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.
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, M. Y., Luo, C., SIA, C. L., & Chen, H. (2007). How do people evaluate electronic word-of-mouth? Informational and normative based determinants of perceived credibility of online consumer recommendations in China.
Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38.
Cheung, R. (2014). The influence of electronic word-of-mouth on information adoption in online customer communities. Global Economic Review, 43(1), 42-57.
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354.
Chih, W.-H., Hsu, L.-C., & Ortiz, J. (2020). The antecedents and consequences of the perceived positive eWOM review credibility. Industrial Management & Data Systems, 120(6), 1217-1243.
Chih, W.-H., Wang, K.-Y., Hsu, L.-C., & Huang, S.-C. (2013). Investigating electronic word-of-mouth effects on online discussion forums: The role of perceived positive electronic word-of-mouth review credibility. Cyberpsychology, Behavior, and Social Networking, 16(9), 658-668.
Chiou, J.-S., Hsu, A. C.-F., & Hsieh, C.-H. (2013). How negative online information affects consumers' brand evaluation: The moderating effects of brand attachment and source credibility. Online Information Review.
Chu, S.-C., Chen, H.-T., & Sung, Y. (2016). Following brands on Twitter: An extension of theory of planned behavior. International Journal of Advertising, 35(3), 421-437.
Chu, S.-C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47-75.
Constantinides, E., & Fountain, S. J. (2008). Web 2.0: Conceptual foundations and marketing issues. Journal of direct, data and digital marketing practice, 9(3), 231-244.
Coupey, E., Irwin, J. R., & Payne, J. W. (1998). Product category familiarity and preference construction. Journal of Consumer Research, 24(4), 459-468.
Crocker, J. (1981). Judgment of covariation by social perceivers. Psychological bulletin, 90(2), 272.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. psychometrika, 16(3), 297-334.
Daowd, A., Hasan, R., Eldabi, T., Rafi-ul-Shan, P. M., Cao, D., & Kasemsarn, N. (2020). Factors affecting eWOM credibility, information adoption and purchase intention on Generation Y: A case from Thailand. Journal of Enterprise Information Management.
Daugherty, T., & Hoffman, E. (2014). eWOM and the importance of capturing consumer attention within social media. Journal of Marketing Communications, 20(1-2), 82-102.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results Massachusetts Institute of Technology].
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
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.
Davis, F. D., & Venkatesh, V. (2004). Toward preprototype user acceptance testing of new information systems: implications for software project management. IEEE Transactions on engineering management, 51(1), 31-46.
De Meo, P., Ferrara, E., Rosaci, D., & Sarné, G. M. (2014). Trust and compactness in social network groups. IEEE transactions on cybernetics, 45(2), 205-216.
Dellarocas, C. (2003). The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms [Article]. Management Science, 49(10), 1407-1424. https://doi.org/10.1287/mnsc.49.10.1407.17308
Dillard, J. P., Weber, K. M., & Vail, R. G. (2007). The relationship between the perceived and actual effectiveness of persuasive messages: A meta-analysis with implications for formative campaign research. Journal of Communication, 57(4), 613-631.
Dimmock, J., Jackson, B., Clear, S., & Law, K. (2013). Matching temporal frame to recipients' time orientation in exercise messaging: Does argument quality matter? Psychology of Sport and Exercise, 14(6), 804-812.
Doh, S.-J., & Hwang, J.-S. (2009). How consumers evaluate eWOM (electronic word-of-mouth) messages. Cyberpsychology & behavior, 12(2), 193-197.
Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt brace Jovanovich college publishers.
Engel, J. F., Blackwell, R. D., & Kegerreis, R. J. (1969). How Information Is Used to Adopt an Innovation [Article]. Journal of Advertising Research, 9(4), 3-8. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=5230200&lang=zh-tw&site=ehost-live
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in human behavior, 61, 47-55.
Fan, Y.-W., & Miao, Y.-F. (2012). Effect of electronic word-of-mouth on consumer purchase intention: The perspective of gender differences. International Journal of Electronic Business Management, 10(3), 175.
Fang, Y.-H. (2014). Beyond the credibility of electronic word of mouth: Exploring eWOM adoption on social networking sites from affective and curiosity perspectives. International Journal of Electronic Commerce, 18(3), 67-102.
Fang, Y.-H., Tang, K., Li, C.-Y., & Wu, C.-C. (2018). On electronic word-of-mouth diffusion in social networks: curiosity and influence. International Journal of Advertising, 37(3), 360-384.
Feick, L. F., & Price, L. L. (1987). The Market Maven: A Diffuser of Marketplace Information. Journal of Marketing, 51(1), 83. https://ezproxy.lis.nsysu.edu.tw/ezproxy/Authentication/Authentication_Interface.php?url= /scholarly-journals/market-maven-diffuser-marketplace-information/docview/227805094/se-2?accountid=12698
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=
http://140.117.120.247:3210/nsysu?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=unknown&sid=ProQ:ProQ%3Aabiglobal&atitle=The+Market+Maven%3A+A+Diffuser+of+Marketplace+Information&title=Journal+of+Marketing&issn=00222429&date=1987-01-01&volume=51&issue=1&spage=83&au=Feick%2C+Lawrence+F%3BPrice%2C+Linda+L&isbn=&jtitle=Journal+of+Marketing&btitle=&rft_id=info:eric/00351212&rft_id=info:doi/
Festinger, L. (1957). A theory of cognitive dissonance (Vol. 2). Stanford university press.
Fishbein, M., & Ajzen, I. (1975). Belief. Attitude, Intention, and Behavior: An introduction to theory and research, 50(2), 179-221.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2).
Fogel, S. (2010). Issues in measurement of word of mouth in social media marketing. International Journal of Integrated Marketing Communications, 2(2).
Fong, J., & Burton, S. (2006). Elecronic Word-of-Mouth. Journal of Interactive Advertising, 6(2), 7-62. https://doi.org/10.1080/15252019.2006.10722119
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. In: Sage Publications Sage CA: Los Angeles, CA.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on engineering management, 50(3), 307-321.
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.
Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., & Yale, L. J. (1998). A dyadic study of interpersonal information search. Journal of the academy of marketing science, 26(2), 83-100.
Glynn Mangold, W., Miller, F., & Brockway, G. R. (1999). Word‐of‐mouth communication in the service marketplace. Journal of Services Marketing, 13(1), 73-89. https://doi.org/10.1108/08876049910256186
Godes, D., & Mayzlin, D. (2004). Using Online Conversations to Study Word-of-Mouth Communication. Marketing Science, 23(4), 545-560. http://www.jstor.org.ezproxy.lis.nsysu.edu.tw:9080/stable/30036688
Goldsmith, R. E., & Clark, R. A. (2008). An analysis of factors affecting fashion opinion leadership and fashion opinion seeking. Journal of Fashion Marketing and Management: An International Journal, 12(3), 308-322. https://doi.org/10.1108/13612020810889272
Grewal, D., Gotlieb, J., & Marmorstein, H. (1994). The moderating effects of message framing and source credibility on the price-perceived risk relationship. Journal of Consumer Research, 21(1), 145-153.
Grewal, R., Cline, T. W., & Davies, A. (2003). Early-Entrant Advantage, Word-of-Mouth Communication, Brand Similarity, and the Consumer Decision-Making Process. Journal of Consumer Psychology, 13(3), 187-197. https://doi.org/https://doi.org/10.1207/S15327663JCP1303_01
Gunawan, D. D., & Huarng, K.-H. (2015). Viral effects of social network and media on consumers’ purchase intention. Journal of Business Research, 68(11), 2237-2241.
Hanks, L., Line, N., & Yang, W. (2017). Status seeking and perceived similarity: A consideration of homophily in the social servicescape. International Journal of Hospitality Management, 60, 123-132.
Harlam, B. A., Krishna, A., Lehmann, D. R., & Mela, C. (1995). Impact of bundle type, price framing and familiarity on purchase intention for the bundle. Journal of Business Research, 33(1), 57-66.
Havighurst, R. J., & Feigenbaum, K. (1959). Leisure and life-style. American Journal of Sociology, 64(4), 396-404.
Hawkins, D., Best, R., & Coney, K. (2004). Consumer decision process and problem recognition. Consumer Behavior: Building Marketing Strategy (9th.
Henderson, R., Rickwood, D., & Roberts, P. (1998). The beta test of an electronic supermarket. Interacting with Computers, 10(4), 385-399.
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion platforms: what motivates consumers to articulate themselves on the internet? Journal of Interactive Marketing, 18(1), 38-52.
Hong, J., & Sternthal, B. (2010). The effects of consumer prior knowledge and processing strategies on judgments. Journal of Marketing Research, 47(2), 301-311.
Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion.
Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public opinion quarterly, 15(4), 635-650.
Hu, X., Huang, Q., Zhong, X., Davison, R. M., & Zhao, D. (2016). The influence of peer characteristics and technical features of a social shopping website on a consumer’s purchase intention. International Journal of Information Management, 36(6), 1218-1230.
Hur, K., Kim, T. T., Karatepe, O. M., & Lee, G. (2017). An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers. Tourism Management, 63, 170-178.
Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017). eWOM source credibility, perceived risk and food product customer's information adoption. Computers in human behavior, 66, 96-102.
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.
Jensen, M. L., Averbeck, J. M., Zhang, Z., & Wright, K. B. (2013). Credibility of anonymous online product reviews: A language expectancy perspective. Journal of Management Information Systems, 30(1), 293-324.
Jeong, E., & Jang, S. S. (2011). Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations. International Journal of Hospitality Management, 30(2), 356-366.
Joo, J., & Sang, Y. (2013). Exploring Koreans’ smartphone usage: An integrated model of the technology acceptance model and uses and gratifications theory. Computers in human behavior, 29(6), 2512-2518.
Jung, J., Chan-Olmsted, S., Park, B., & Kim, Y. (2012). Factors affecting e-book reader awareness, interest, and intention to use. new media & society, 14(2), 204-224.
Khwaja, M. G., Mahmood, S., & Zaman, U. (2020). Examining the effects of eWOM, trust inclination, and information adoption on purchase intentions in an accelerated digital marketing context. Information, 11(10), 478.
Kiecker, P., & Cowles, D. (2002). Interpersonal communication and personal influence on the Internet: A framework for examining online word-of-mouth. Journal of Euromarketing, 11(2), 71-88.
Kim, S., Kandampully, J., & Bilgihan, A. (2018). The influence of eWOM communications: An application of online social network framework. Computers in human behavior, 80, 243-254.
Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
King, R. A., Racherla, P., & Bush, V. D. (2014). What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature. Journal of Interactive Marketing, 28(3), 167. https://ezproxy.lis.nsysu.edu.tw/ezproxy/Authentication/Authentication_Interface.php?url= /scholarly-journals/what-we-know-dont-about-online-word-mouth-review/docview/1554279959/se-2?accountid=12698
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=
http://140.117.120.247:3210/nsysu?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&genre=article&sid=ProQ:ProQ%3Aabiglobal&atitle=What+We+Know+and+Don%27t+Know+About+Online+Word-of-Mouth%3A+A+Review+and+Synthesis+of+the+Literature&title=Journal+of+Interactive+Marketing&issn=10949968&date=2014-08-01&volume=28&issue=3&spage=167&au=King%2C+Robert+Allen%3BRacherla%2C+Pradeep%3BBush%2C+Victoria+D&isbn=&jtitle=Journal+of+Interactive+Marketing&btitle=&rft_id=info:eric/&rft_id=info:doi/
Kotler, P. (1972). Marketing management; analysis, planning, and control.
Krishna, A., & Johar, G. V. (1996). Consumer perceptions of deals: Biasing effects of varying deal prices. Journal of Experimental Psychology: Applied, 2(3), 187.
Kumar, N., & Benbasat, I. (2006). Research note: the influence of recommendations and consumer reviews on evaluations of websites. Information systems research, 17(4), 425-439.
Kunja, S. R., & Gvrk, A. (2020). Examining the effect of eWOM on the customer purchase intention through value co-creation (VCC) in social networking sites (SNSs). Management Research Review, 43(3), 245-269. https://doi.org/10.1108/MRR-04-2017-0128
Kusnadi, D. (2014). Persepsi terhadap sikap dan minat pengguna layanan internet pada perusahaan jasa asuransi. Jurnal organisasi dan manajemen, 10(2), 97-112.
Kusumasondjaja, S., Shanka, T., & Marchegiani, C. (2012). Credibility of online reviews and initial trust: The roles of reviewer’s identity and review valence. Journal of Vacation Marketing, 18(3), 185-195.
Lazarsfeld, P. F., Merton, R. K., Berger, M., Abel, T., & Page, C. H. (1954). Freedom and control in modern society. Friendship as a Social Process: A Substantive and Methodological Analysis, ed. Morroe Berger, Theodore Abel, and Charles H. Page. New York: Octagon Books, 18-66.
Lazer, W. (1963). Life style concepts and marketing. Toward scientific marketing, 15(4), 130-139.
Lee, H.-J., Lim, H., Jolly, L. D., & Lee, J. (2009). Consumer lifestyles and adoption of high-technology products: A case of South Korea. Journal of International Consumer Marketing, 21(2), 153-167.
Lee, J., Park, D.-H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341-352.
Lee, J. E., & Watkins, B. (2016). YouTube vloggers' influence on consumer luxury brand perceptions and intentions. Journal of Business Research, 69(12), 5753-5760.
Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM) How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28(3), 473-499.
Lee, M. K., Shi, N., Cheung, C. M., Lim, K. H., & Sia, C. L. (2011). Consumer's decision to shop online: The moderating role of positive informational social influence. Information & Management, 48(6), 185-191.
Lee, S.-H. (2009). How do online reviews affect purchasing intention? African Journal of Business Management, 3(10), 576-581.
Lee, W. (2012). The research of the electronic word of mouth on purchase intention. Degree Thesis of Institute of Information Management, Taipei University of Science and Technology, 1-69.
Lee, Y.-I., Phua, J., & Wu, T.-Y. (2020). Marketing a health Brand on Facebook: Effects of reaction icons and user comments on brand attitude, trust, purchase intention, and eWOM intention. Health marketing quarterly, 37(2), 138-154.
Lekakos, G. (2009). It's personal: Extracting lifestyle indicators in digital television advertising. Journal of Advertising Research, 49(4), 404-418.
Leong, C.-M., Loi, A. M.-W., & Woon, S. (2021). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics, 1-13.
Lessiter, J., Freeman, J., Keogh, E., & Davidoff, J. (2001). A cross-media presence questionnaire: The ITC-Sense of Presence Inventory. Presence: Teleoperators & Virtual Environments, 10(3), 282-297.
Leung, L., & Chen, C. (2017). Extending the theory of planned behavior: A study of lifestyles, contextual factors, mobile viewing habits, TV content interest, and intention to adopt mobile TV. Telematics and Informatics, 34(8), 1638-1649.
Levy, S. J. (1999). Symbolism and life style. Brands, Consum Symb Res Sidney J Levy Mark.
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, S.-C. S. (2013). Lifestyle orientations and the adoption of Internet-related technologies in Taiwan. Telecommunications Policy, 37(8), 639-650.
Li, Z., & Li, C. (2014). Twitter as a social actor: How consumers evaluate brands differently on Twitter based on relationship norms. Computers in human behavior, 39, 187-196.
Lippert, S. K., & Forman, H. (2005). Utilization of information technology: Examining cognitive and experiential factors of post-adoption behavior. IEEE Transactions on engineering management, 52(3), 363-381.
Lis, B. (2013). In eWOMWe Trust A Framework of Factors that Determine the eWOM Credibility [Article]. Business & Information Systems Engineering, 5(3), 129-140. https://doi.org/10.1007/s12599-013-0261-9
Lo, L. Y.-S., & Lin, S.-W. (2017). An approach to initiating eWOM intentions: A study on the effects of reference price and value homophily. Internet research.
Lou, H., Luo, W., & Strong, D. (2000). Perceived critical mass effect on groupware acceptance. European Journal of Information Systems, 9(2), 91-103.
Lu, Y., Zhao, L., & Wang, B. (2010). From virtual community members to C2C e-commerce buyers: Trust in virtual communities and its effect on consumers’ purchase intention. Electronic Commerce Research and Applications, 9(4), 346-360.
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.
Luo, C., Wu, J., Shi, Y., & Xu, Y. (2014). The effects of individualism–collectivism cultural orientation on eWOM information. International Journal of Information Management, 34(4), 446-456.
Mainolfi, G., & Vergura, D. T. (2022). The influence of fashion blogger credibility, engagement and homophily on intentions to buy and e-WOM. Results of a binational study. Journal of Fashion Marketing and Management: An International Journal, 26(3), 473-494.
Marbach, J., Lages, C. R., & Nunan, D. (2016). Who are you and what do you value? Investigating the role of personality traits and customer-perceived value in online customer engagement. Journal of Marketing Management, 32(5-6), 502-525.
Martin, W. C., & Lueg, J. E. (2013). Modeling word-of-mouth usage. Journal of Business Research, 66(7), 801-808.
McCroskey, J. C., Richmond, V. P., & Daly, J. A. (1975). The development of a measure of perceived homophily in interpersonal communication. Human Communication Research, 1(4), 323-332.
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual review of sociology, 415-444.
Mitchell, A. (1983). The nine American lifestyles: Who we are and where we're going. Scribner Book Company.
Monroe, K. B. (1976). The influence of price differences and brand familiarity on brand preferences. Journal of Consumer Research, 3(1), 42-49.
Moon, S.-J., Costello, J. P., & Koo, D.-M. (2016). The impact of consumer confusion from eco-labels on negative WOM, distrust, and dissatisfaction. International Journal of Advertising, 36(2), 246-271. https://doi.org/10.1080/02650487.2016.1158223
Morosan, C. (2012). Theoretical and empirical considerations of guests’ perceptions of biometric systems in hotels: Extending the technology acceptance model. Journal of Hospitality & Tourism Research, 36(1), 52-84.
Mouw, T. (2006). Estimating the causal effect of social capital: A review of recent research. Annu. Rev. Sociol., 32, 79-102.
Nabi, R. L., & Hendriks, A. (2003). The persuasive effect of host and audience reaction shots in television talk shows. Journal of Communication, 53(3), 527-543.
Nadarajan, G., Bojei, J., & Khalid, H. (2017). The study on negative eWOM and its relationship to consumer’s intention to switch Mobile Service Provider. Procedia Computer Science, 124, 388-396.
O’Keefe, D. J. (2002). Guilt as a mechanism of persuasion. The persuasion handbook: Developments in theory and practice, 329-344.
Oentario, Y., Harianto, A., & Irawati, J. (2017). Pengaruh Usefulness, Ease of Use, Risk Terhadap Intentionto Buy Onlinepatisserie Melalui Consumer Attitude Berbasis Media Sosial Di Surabaya. Jurnal Manajemen Pemasaran, 11(1), 26-31.
Palomba, A. (2021). How consumers' personalities, lifestyles and demographics predict SVOD genre and SVOD platform consumption. Journal of Contemporary Marketing Science.
Park, C., & Lee, T. M. (2009). Information direction, website reputation and eWOM effect: A moderating role of product type. Journal of Business Research, 62(1), 61-67.
Park, C. W., & Lessig, V. P. (1981). Familiarity and its impact on consumer decision biases and heuristics. Journal of Consumer Research, 8(2), 223-230.
Park, D.-H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International journal of electronic commerce, 11(4), 125-148.
Park, D.-H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399-410.
Park, D.-H., & Lee, J. (2008). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7(4), 386-398.
Park, M.-S., Shin, J.-K., & Ju, Y. (2019). Attachment styles and electronic word of mouth (e-WOM) adoption on social networking sites. Journal of Business Research, 99, 398-404.
Peterson, R. A., & Wilson, W. R. (1985). Perceived risk and price reliance schema as price-perceived quality mediators. Perceived quality, 247-268.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In Communication and persuasion (pp. 1-24). Springer.
Plouffe, C. R., Vandenbosch, M., & Hulland, J. (2001). Intermediating technologies and multi‐group adoption: a comparison of consumer and merchant adoption intentions toward a new electronic payment system. Journal of Product Innovation Management: An International Publication of The Product Development & Management Association, 18(2), 65-81.
Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades' evidence. Journal of applied social psychology, 34(2), 243-281.
Price, L. L., & Feick, L. F. (1984). The role of interpersonal sources in external search: An informational perspective. ACR North American Advances.
RAHMIATI. (2017). THE INFLUENCE OF INDIVIDUAL AND SYSTEM
CHARACTERISTIC TOWARD DIGITAL LIBRARY USAGE. International Journal of Management and Applied Science, ISSN: 2394-7926, 3(6).
Rahmiati, R., & Yuannita, I. I. (2019). The influence of trust, perceived usefulness, perceived ease of use, and attitude on purchase intention. Jurnal Kajian Manajemen Bisnis, 8(1), 27-34.
Rani, A., & Shivaprasad, H. (2018). DETERMINANTS OF ELECTRONIC WORD OF MOUTH PERSUASIVENESS A CONCEPTUAL MODEL AND RESEARCH PROPOSITIONS. Journal of Contemporary Management Research, 12(2).
Rao, A. R., & Monroe, K. B. (1988). The moderating effect of prior knowledge on cue utilization in product evaluations. Journal of Consumer Research, 15(2), 253-264.
Reichelt, J., Sievert, J., & Jacob, F. (2014). How credibility affects eWOM reading: The influences of expertise, trustworthiness, and similarity on utilitarian and social functions. Journal of Marketing Communications, 20(1-2), 65-81.
Rogers, E. M., & Bhowmik, D. K. (1970). Homophily-heterophily: Relational concepts for communication research. Public opinion quarterly, 34(4), 523-538.
Rojas-Méndez, J. I., Chaubey, M. B., & Spillan, J. E. (2013). Consumer life styles and market segmentation in Chile. Journal of International Business Research, 12(2), 121.
Royo‐Vela, M., & Casamassima, P. (2011). The influence of belonging to virtual brand communities on consumers' affective commitment, satisfaction and word‐of‐mouth advertising: The ZARA case. Online Information Review.
Sakib, M. N., Zolfagharian, M., & Yazdanparast, A. (2020). Does parasocial interaction with weight loss vloggers affect compliance? The role of vlogger characteristics, consumer readiness, and health consciousness. Journal of Retailing and Consumer Services, 52, 101733.
Sardar, A., Manzoor, A., Shaikh, K. A., & Ali, L. (2021). An empirical examination of the impact of eWom information on young consumers’ online purchase intention: Mediating role of eWom information adoption. SAGE Open, 11(4), 21582440211052547.
Schepers, J., & Wetzels, M. (2007). A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects. Information & Management, 44(1), 90-103.
Schreiner, C., Appel, M., Isberner, M.-B., & Richter, T. (2018). Argument strength and the persuasiveness of stories. Discourse Processes, 55(4), 371-386.
Scott, J. E., & Walczak, S. (2009). Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance. Information & Management, 46(4), 221-232.
Sears, D. O. (1988). Communication and Persuasion: Central and Peripheral Routes to Attitude Change. In: JSTOR.
See-To, E. W., & Ho, K. K. (2014). Value co-creation and purchase intention in social network sites: The role of electronic Word-of-Mouth and trust–A theoretical analysis. Computers in Human Behavior, 31, 182-189.
Shamhuyenhanzva, R. M., Van Tonder, E., Roberts-Lombard, M., & Hemsworth, D. (2016). Factors influencing Generation Y consumers’ perceptions of eWOM credibility: a study of the fast-food industry. The International Review of Retail, Distribution and Consumer Research, 26(4), 435-455.
Shamim, A., Ghazali, Z., & Albinsson, P. A. (2016). An integrated model of corporate brand experience and customer value co-creation behaviour. International Journal of Retail & Distribution Management, 44(2), 139-158.
Shang, S. S., Wu, Y.-L., & Sie, Y.-J. (2017). Generating consumer resonance for purchase intention on social network sites. Computers in human behavior, 69, 18-28.
Shen, Y.-C., Huang, C.-Y., Chu, C.-H., & Liao, H.-C. (2010). Virtual community loyalty: An interpersonal-interaction perspective. International Journal of Electronic Commerce, 15(1), 49-74.
Shim, S., Eastlick, M. A., Lotz, S. L., & Warrington, P. (2001). An online prepurchase intentions model: the role of intention to search: best overall paper award—The Sixth Triennial AMS/ACRA Retailing Conference, 2000☆. Journal of Retailing, 77(3), 397-416.
Shin, D., Song, J. H., & Biswas, A. (2014). Electronic word-of-mouth (eWOM) generation in new media platforms: The role of regulatory focus and collective dissonance. Marketing letters, 25(2), 153-165.
Sia, C.-L., Tan, B. C., & Wei, K.-K. (1999). Can a GSS stimulate group polarization? An empirical study. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 29(2), 227-237.
Sia, C.-L., Tan, B. C., & Wei, K.-K. (2002). Group polarization and computer-mediated communication: Effects of communication cues, social presence, and anonymity. Information systems research, 13(1), 70-90.
Smith, D., Menon, S., & Sivakumar, K. (2005). Online peer and editorial recommendations, trust, and choice in virtual markets. Journal of Interactive Marketing, 19(3), 15-37.
Sovacool, B. K., & Hess, D. J. (2017). Ordering theories: Typologies and conceptual frameworks for sociotechnical change. Social studies of science, 47(5), 703-750.
Steffes, E. M., & Burgee, L. E. (2009). Social ties and online word of mouth. Internet research, 19(1), 42-59.
Sujan, M. (1985). Consumer knowledge: Effects on evaluation strategies mediating consumer judgments. Journal of Consumer Research, 12(1), 31-46.
Sung, Y., Kim, Y., Kwon, O., & Moon, J. (2010). An Explorative Study of Korean Consumer Participation in Virtual Brand Communities in Social Network Sites. Journal of Global Marketing, 23(5), 430-445. https://doi.org/10.1080/08911762.2010.521115
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information systems research, 14(1), 47-65.
Sweeney, J., Soutar, G., & Mazzarol, T. (2014). Factors enhancing word-of-mouth influence: positive and negative service-related messages. European Journal of Marketing.
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International journal of medical education, 2, 53.
Teng, S., Khong, K. W., Goh, W. W., & Chong, A. Y. L. (2014). Examining the antecedents of persuasive eWOM messages in social media. Online Information Review.
Thomas, M.-J., Wirtz, B. W., & Weyerer, J. C. (2019). DETERMINANTS OF ONLINE REVIEW CREDIBILITY AND ITS IMPACT ON CONSUMERS'PURCHASE INTENTION. Journal of Electronic Commerce Research, 20(1), 1-20.
Tien, D. H., Rivas, A. A. A., & Liao, Y.-K. (2019). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review, 24(3), 238-249.
Tsao, W.-C., & Hsieh, M.-T. (2015). eWOM persuasiveness: do eWOM platforms and product type matter? Electronic Commerce Research, 15(4), 509-541.
Tsao, W.-C., & Su, F.-Y. (2021). How to Respond to Customer Complaints-from the Perspective of Argument Strength. International Business Research, 14(4), 1-24.
Tseng, S.-Y., & Wang, C.-N. (2016). Perceived risk influence on dual-route information adoption processes on travel websites. Journal of Business Research, 69(6), 2289-2296.
Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41-48.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism management, 30(1), 123-127.
Wang, Y. (2016). Information adoption model, a review of the literature. Journal of Economics, Business and Management, 4(11), 618-622.
Wang, Z., Walther, J. B., Pingree, S., & Hawkins, R. P. (2008). Health information, credibility, homophily, and influence via the Internet: Web sites versus discussion groups. Health communication, 23(4), 358-368.
Wathen, C. N., & Burkell, J. (2002). Believe it or not: Factors influencing credibility on the Web. Journal of the American society for information science and technology, 53(2), 134-144.
Wei, R. (2006). Lifestyles and new media: Adoption and use of wireless communication technologies in China. new media & society, 8(6), 991-1008.
Wells, W. D. (1970). It's a Wyeth, not a Warhol, world [Article]. Harvard Business Review, 48(1), 26. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=3866784&lang=zh-tw&site=ehost-live
Wells, W. d., & Tigert, D. J. (1971). Activities, Interests and Opinions [Article]. Journal of Advertising Research, 11(4), 27-35. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=5227511&lang=zh-tw&site=ehost-live
Willemsen, L. M., Neijens, P. C., & Bronner, F. (2012). The ironic effect of source identification on the perceived credibility of online product reviewers. Journal of Computer-Mediated Communication, 18(1), 16-31.
Wong, J.-Y., & Yeh, C. (2009). Tourist hesitation in destination decision making. Annals of tourism research, 36(1), 6-23.
Wu, M.-h. (2013). Relationships among source credibility of electronic word of mouth, perceived risk, and consumer behavior on consumer generated media.
Wu, P. C., & Wang, Y. C. (2011). The influences of electronic word‐of‐mouth message appeal and message source credibility on brand attitude. Asia Pacific Journal of Marketing and Logistics.
Yamashita, R., & Takata, K. (2020). Relationship between prior knowledge, destination reputation, and loyalty among sport tourists. Journal of Sport & Tourism, 24(2), 143-153.
Yang, H., & Lee, H. (2018). Exploring user acceptance of streaming media devices: an extended perspective of flow theory. Information Systems and e-Business Management, 16(1), 1-27.
Zangeneh, S., Mohammadkazemi, R., & Rezvani, M. (2014). Investigating the effect of Electronic Word Of Mouth on customer’s purchase intention of digital products. Management Science Letters, 4(11), 2433-2440.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.
Zhang, J. Q., Craciun, G., & Shin, D. (2010). When does electronic word-of-mouth matter? A study of consumer product reviews. Journal of Business Research, 63(12), 1336-1341.
Zhang, K. Z., Barnes, S. J., Zhao, S. J., & Zhang, H. (2018). Can consumers be persuaded on brand microblogs? An empirical study. Information & Management, 55(1), 1-15.
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.
Zhang, W. (2003). Knowledge adoption in online communities of practice. Boston University.
Zhao, X., Strasser, A., Cappella, J. N., Lerman, C., & Fishbein, M. (2011). A measure of perceived argument strength: Reliability and validity. Communication methods and measures, 5(1), 48-75.
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.
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