跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.172) 您好!臺灣時間:2025/09/11 07:58
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:許書懷
研究生(外文):HSU, SHU-HUAI
論文名稱:探討電子口碑對於消費者購買意圖之影響: 以資訊採用模式為基礎之研究
論文名稱(外文):The Influence of eWOM on Consumer Purchase Intention: A Study Based on Information Adoption Model
指導教授:廖則竣廖則竣引用關係
指導教授(外文):LIAO, CHE-CHEN
口試委員:翁頌舜林文修楊欣哲廖則竣
口試委員(外文):WENG, SUNG-SHUNLIN, WEN-SHIUYANG, SHIN-JERLIAO, CHE-CHEN
口試日期:2019-07-30
學位類別:碩士
校院名稱:國立中正大學
系所名稱:資訊管理系研究所
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:2019
畢業學年度:107
語文別:中文
論文頁數:70
中文關鍵詞:電子口碑訊息性因素規範性因素資訊採用模式購買意圖
外文關鍵詞:Electronic Word-of-Mouth (eWOM)Information DeterminantsNormative DeterminantsInformation Adoption Model (IAM)Purchase Intention
相關次數:
  • 被引用被引用:0
  • 點閱點閱:274
  • 評分評分:
  • 下載下載:10
  • 收藏至我的研究室書目清單書目收藏:0
網際網路的出現促使口碑的傳播不再侷限於面對面的溝通,電子口碑使消費者得以透過網路為傳播媒介接收或散佈產品相關意見與經驗。近年來社群網站的快速崛起以及與以往線上討論平台不同之特性,也促使電子口碑有了新的面向。過去電子口碑的相關研究主要以市場層面和個人層面之分析,較少同時探討電子口碑本身的內容和消費者對其規範行為所帶來的影響,因此本研究以訊息性因素和規範性因素兩個構面來探討,並且以資訊採用模式為基礎,提出一個電子口碑對於消費者購買意圖的研究模式。
本研究採用網路問卷調查法,研究對象為曾瀏覽過社群網站上產品評論的消費者,蒐集到467份有效問卷,並以結構方程模式來驗證研究模式內各變數間的影響關係。研究結果發現,訊息性因素構面之中的「論證質量」、「來源專業程度」與「訊息需求」對電子口碑訊息有用性有正向關聯;而「論證質量」、「來源專業程度」與「先前信念確認」對電子口碑認知可信度有正向關聯。規範性因素構面中的「推薦一致性」和「推薦等級」對電子口碑認知可信度也有正向關聯。此外也證實電子口碑訊息有用性及電子口碑認知可信度的確是影響電子口碑訊息採用之重要因素,也間接影響消費者的購買意圖。研究結果對學術理論與務實面都有良好的啟示。

The emergence of the Internet has led to the spread of Word-of-Mouth(WOM) no longer limited to face-to-face communication. Electronic Word-of-Mouth (eWOM) allows consumers to receive or disseminate product related opinions and experiences through the Internet. The rapid rise of social networking sites in recent years and the different features of the online discussion platforms have also led to a new orientation in eWOM. In the past, the related research on eWOM mainly focused on market-level and personal-level analysis, and less on the content of eWOM itself and the impact of consumers on its normative behavior. Therefore, this study explores two dimensions of informational determinants and normative determinants, and based on Information Adoption Model (IAM), proposes a research model of eWOM on consumers' purchase intention.
This research adopted the questionnaire survey, and the participants in this research were consumers who had reviewed the product reviews on the social networking site. We collected 467 samples and used structural equation model to validate the influence relationship among the variables in the research model. The result of study indicated: (1) argument quality, source expertise, needs of information and perceived eWOM information credibility have positive impact with eWOM information usefulness; (2) argument quality, source expertise, confirmation with prior belief, recommendation consistency and recommendation rating have positive impact with perceived eWOM information credibility; (3) eWOM information usefulness and perceived eWOM information credibility have positive impact with eWOM information adoption; (4) eWOM information adoption have positive impact with purchase intention. The results of study on the aspect of academia and the aspect of management practice both had good implications.

目錄 i
圖目錄 iv
表目錄 v
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的與問題 4
1.2.1 研究目的 4
1.2.2 研究問題 4
1.3 研究流程 5
第二章 文獻探討 6
2.1 電子口碑 (Electronic Word-of-Mouth) 6
2.2 社群網站之電子口碑 (Electronic Word-of-Mouth of Social Networking Sites) 9
2.3 資訊採用模式 (Information Adoption Model, IAM) 10
2.4 雙重過程理論 (Dual-Process Theory) 12
2.5 訊息性因素 (Informational Determinants) 14
2.5.1 論證質量 (Argument Quality) 14
2.5.2 來源專業程度 (Source Expertise) 15
2.5.3 訊息需求 (Needs of Information) 16
2.5.4 先前信念確認 (Confirmation with Prior Belief) 16
2.6 規範性因素 (Normative Determinants) 17
2.6.1 推薦一致性 (Recommendation Consistency) 17
2.6.2 推薦等級 (Recommendation Rating) 17
2.7 電子口碑訊息有用性 (eWOM Information Usefulness) 18
2.8 電子口碑認知可信度 (Perceived eWOM Information Credibility) 18
2.9 電子口碑訊息採用 (eWOM Information Adoption) 19
2.10 購買意圖 (Purchase Intention) 20
第三章 研究方法 21
3.1 研究模式 21
3.2 研究假說推導與建立 24
3.2.1 論證質量對電子口碑訊息有用性及電子口碑認知可信度的關係 24
3.2.2 來源專業程度對電子口碑訊息有用性及電子口碑認知可信度的關係 24
3.2.3 訊息需求對電子口碑訊息有用性的關係 25
3.3.4 先前信念確認對電子口碑訊息可信度的關係 26
3.3.5 推薦一致性對電子口碑訊息可信度的關係 26
3.3.6 推薦等級對電子口碑訊息可信度的關係 27
3.3.7 電子口碑認知可信度對電子口碑訊息有用性的關係 27
3.3.8 電子口碑訊息有用性對電子口碑訊息之採用的關係 27
3.3.9 電子口碑認知可信度對電子口碑訊息採用的關係 28
3.3.10 電子口碑訊息採用對購買意圖的關係 28
3.3 研究變數之操作型定義 30
3.4 研究問卷設計 31
3.4.1 研究對象與調查方式 31
3.4.2 問卷衡量 31
第四章 資料分析 35
4.1 敘述性統計分析 35
4.1.1 問卷回收 35
4.1.2 樣本資料分析 36
4.2 信度與效度分析 38
4.2.1 信度分析 39
4.2.2 效度分析 40
4.3 研究假說檢定 42
第五章 結論與建議 45
5.1 研究結論 45
5.1.1 論證質量對電子口碑訊息有用性及電子口碑認知可信度的影響 45
5.1.2 來源專業程度對電子口碑訊息有用性及電子口碑認知可信度的影響 46
5.1.3 訊息需求對電子口碑訊息有用性的影響 46
5.1.4 先前信念確認對電子口碑認知可信度的影響 47
5.1.5 推薦一致性對電子口碑認知可信度的影響 47
5.1.6 推薦等級對電子口碑認知可信度的影響 47
5.1.7 電子口碑認知可信度對電子口碑訊息有用性的影響 48
5.1.8 電子口碑訊息有用性對電子口碑訊息採用的影響 48
5.1.9 電子口碑認知可信度對電子口碑訊息採用的影響 48
5.1.10 電子口碑訊息採用對購買意圖的影響 49
5.2 研究貢獻 49
5.2.1 學術貢獻 50
5.2.2 實務貢獻 51
5.3 研究限制 52
5.4 未來研究方向 53
參考文獻 55
英文文獻 55
網路文獻 63
附錄A 問卷 64
附錄B 因素結構矩陣與交叉負荷量表 69
一、英文文獻
Ahn, T., Ryu, S., & Han, I. (2004). The impact of the online and offline features on the user acceptance of Internet shopping malls. Electronic commerce research and applications, 3(4), 405-420.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control (pp. 11-39): Springer.
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.
Arndt, J. (1967). Word of mouth advertising: A review of the literature: Advertising Research Foundation.
Asch, S. E., & Guetzkow, H. (1951). Effects of group pressure upon the modification and distortion of judgments. Groups, leadership, and men, 222-236.
Awad, N. F., & Ragowsky, A. (2008). Establishing trust in electronic commerce through online word of mouth: An examination across genders. Journal of Management Information Systems, 24(4), 101-121.
Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management science, 29(5), 530-545.
Barreda, A. A., Bilgihan, A., Nusair, K., & Okumus, F. (2015). Generating brand awareness in online social networks. Computers in human behavior, 50, 600-609.
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.
Bonabeau, E. (2004). The perils of the imitation age. Harvard business review, 82(6), 45-54, 135.
Bone, P. F. (1995). Word-of-mouth effects on short-term and long-term product judgments. Journal of business research, 32(3), 213-223.
Boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of business research, 13(1), 210-230.
Bristor, J. (1990). Exhanced explanations of word of mouth communications; the power of relations. Research in consumer behavior, 4, 51-83.
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.
Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. Journal of consumer research, 2(3), 206-215.
Cacioppo, J. T., Petty, R. E., & Morris, K. J. (1983). Effects of need for cognition on message evaluation, recall, and persuasion. Journal of personality and social psychology, 45(4), 805.
Canhoto, A. I., & Clark, M. (2013). Customer service 140 characters at a time: The users' perspective. Journal of marketing Management, 29(5-6), 522-544.
Chatterjee, P. (2001). Online reviews: do consumers use them?
Cheng, Y. H., & Ho, H. Y. (2015). Social influence's impact on reader perceptions of online reviews. Journal of business research, 68(4), 883-887.
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, 18(3), 229-247.
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. (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.
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.
Chu, S. C., & Kamal, S. (2008). The effect of perceived blogger credibility and argument quality on message elaboration and brand attitudes: An exploratory study. Journal of Interactive Advertising, 8(2), 26-37.
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.
Clemons, E. K., Gao, G. G., & Hitt, L. M. (2006). When online reviews meet hyperdifferentiation: A study of the craft beer industry. Journal of Management Information Systems, 23(2), 149-171.
Coulter, K. S., & Punj, G. N. (2007). Understanding the role of idiosyncratic thinking in brand attitude formation: the dual interference model. Journal of Advertising, 36(1), 7-20.
Crocker, J. (1981). Judgment of covariation by social perceivers. Psychological Bulletin, 90(2), 272.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The journal of abnormal and social psychology, 51(3), 629.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of marketing research, 307-319.
Donaton, S. (2003). Marketings new fascination: Figuring out word-of-mouth. Advertising Age, 74(46), 18-18.
Engel, J. F. (1969). How information is used to adopt and innovation. Advertising Research, 9(4), 3-8.
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.
Eysenbach, G. (2000). Recent advances: Consumer health informatics. BMJ: British Medical Journal, 320(7251), 1713.
Fan, Y.-W., Miao, Y.-F., Fang, Y.-H., & Lin, R.-Y. (2013). Establishing the adoption of electronic word-of-mouth through consumers' perceived credibility. International Business Research, 6(3), 58.
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.
Feldman, J. M., & Lynch, J. G. (1988). Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. Journal of applied Psychology, 73(3), 421.
Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51, 174-185.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research.
Fogg, B., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., . . . Swani, P. (2001). What makes Web sites credible?: a report on a large quantitative study. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
Fogg, B. J. (2002). Persuasive technology: using computers to change what we think and do. Ubiquity, 2002(December), 5.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Forouzanfar, M. H., Afshin, A., Alexander, L. T., Anderson, H. R., Bhutta, Z. A., Biryukov, S., . . . Charlson, F. J. (2016). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388(10053), 1659-1724.
Gelb, B. D., & Sundaram, S. (2002). Adapting to “word of mouse”. Business Horizons, 45(4), 21-25.
Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., & Yale, L. (1998). A dyadic study of interpersonal information search. Journal of the Academy of Marketing Science, 26(2), 83-100.
Goldenberg, J., Libai, B., & Muller, E. (2001). Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing letters, 12(3), 211-223.
Goldsmith, R. E., & Horowitz, D. (2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 2-14.
Goodrich, K., & De Mooij, M. (2014). How ‘social’are social media? A cross-cultural comparison of online and offline purchase decision influences. Journal of Marketing Communications, 20(1-2), 103-116.
Graham, J., & Havlena, W. (2007). Finding the “missing link”: Advertising's impact on word of mouth, web searches, and site visits. Journal of Advertising Research, 47(4), 427-435.
Guilford, J., & Fruchter, B. (1965). Fundamental Statistics in Psychology and Education, McGraw-Hill.
Hair, J. F. (2006). Multivariate data analysis: Pearson Education India.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Hajli, N. (2018). Ethical environment in the online communities by information credibility: a social media perspective. Journal of Business Ethics, 149(4), 799-810.
Hanson, W. A., & Kalyanam, K. (2000). Principles of Internet marketing: South-Western College Pub. Cincinnati.
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.
Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and persuasion; psychological studies of opinion change.
Hung, K. H., & Li, S. Y. (2007). The influence of eWOM on virtual consumer communities: Social capital, consumer learning, and behavioral outcomes. Journal of Advertising Research, 47(4), 485-495.
Iyengar, R., Han, S., & Gupta, S. (2009). Do friends influence purchases in a social network?
Janis, I. L., & Hovland, C. I. (1959). An overview of persuasibility research. Personality and persuasibility, 1-26.
Jin, X. L., Cheung, C. M., Lee, M. K., & Chen, H. P. (2009). How to keep members using the information in a computer-supported social network. Computers in human behavior, 25(5), 1172-1181.
Kamakura, W. A., Basuroy, S., & Boatwright, P. (2006). Is silence golden? An inquiry into the meaning of silence in professional product evaluations. Quantitative Marketing and Economics, 4(2), 119-141.
Kaplan, M. F., & Miller, C. E. (1987). Group decision making and normative versus informational influence: Effects of type of issue and assigned decision rule. Journal of personality and social psychology, 53(2), 306.
Kim, E., Sung, Y., & Kang, H. (2014). Brand followers’ retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth. Computers in human behavior, 37, 18-25.
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), 167-183.
Knoll, J., & Proksch, R. (2017). Why we watch others' responses to online advertising–investigating users' motivations for viewing user-generated content in the context of online advertising. Journal of Marketing Communications, 23(4), 400-412.
Kozinets, R. V. (2002). The field behind the screen: Using netnography for marketing research in online communities. Journal of marketing research, 39(1), 61-72.
Lee, J., & Lee, J.-N. (2009). Understanding the product information inference process in electronic word-of-mouth: An objectivity–subjectivity dichotomy perspective. Information & Management, 46(5), 302-311.
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.
Lenhart, A., & Madden, M. (2007). Social networking websites and teens: An overview.
Lin, J. C.-C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a web site. International journal of information management, 20(3), 197-208.
Lis, B. (2013). In eWOM We TrustIn eWOM We Trust. Wirtschaftsinformatik, 55(3), 121-134.
Liu, Z. (2004). Perceptions of credibility of scholarly information on the web. Information Processing & Management, 40(6), 1027-1038.
Mahmood, M. A., & Medewitz, J. N. (1985). Impact of design methods on decision support systems success: an empirical assessment. Information & Management, 9(3), 137-151.
McKnight, H., & Kacmar, C. (2006). Factors of information credibility for an internet advice site. Paper presented at the System Sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii International Conference on.
Moran, G., Muzellec, L., & Nolan, E. (2014). Consumer moments of truth in the digital context: How “search” and “e-word of mouth” can fuel consumer decision making. Journal of Advertising Research, 54(2), 200-204.
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.
Naylor, R. W., Lamberton, C. P., & West, P. M. (2012). Beyond the “like” button: The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. Journal of Marketing Communications, 76(6), 105-120.
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization science, 5(1), 14-37.
Olshavsky, R. W. (1985). Perceived quality in consumer decision making: an integrated theoretical perspective. Perceived quality, 4(1), 3-29.
Park, C., & Lee, T. M. (2009). Antecedents of online reviews' usage and purchase influence: An empirical comparison of US and Korean consumers. Journal of interactive marketing, 23(4), 332-340.
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, H., Xiang, Z., Josiam, B., & Kim, H. (2014). Personal profile information as cues of credibility in online travel reviews. Anatolia, 25(1), 13-23.
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. (2012). Communication and persuasion: Central and peripheral routes to attitude change: Springer Science & Business Media.
Pitta, D. A., & Fowler, D. (2005). Online consumer communities and their value to new product developers. Journal of Product & Brand Management, 14(5), 283-291.
Prendergast, G., Ko, D., & Siu Yin, V. Y. (2010). Online word of mouth and consumer purchase intentions. International journal of Advertising, 29(5), 687-708.
Priester, J. R., Brinol, P., & PETTY, R. E. (2009). Mass media attitude change: Implications of the elaboration likelihood model of persuasion. In Media effects (pp. 141-180): Routledge.
Purnawirawan, N., De Pelsmacker, P., & Dens, N. (2012). Balance and sequence in online reviews: How perceived usefulness affects attitudes and intentions. Journal of interactive marketing, 26(4), 244-255.
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.
Schiffman, L. Kanuk. LL (2003). Consumer Behaviour. In: Englewood Cliffs, NJ: Prentice-Hall.
Schiffman, L. G., & Kanuk, L. L. (2000). Consumer behavior, 7th. NY: Prentice Hall, 15-36.
Schindler, R. M., & Bickart, B. (2005). Published word of mouth: Referable, consumer-generated information on the Internet. Online consumer psychology: Understanding and influencing consumer behavior in the virtual world, 32, 35-61.
Schivinski, B., & Dabrowski, D. (2014). The consumer-based brand equity inventory: scale construct and validation. Retrieved from
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.
Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of interactive marketing, 21(4), 76-94.
Shu, M., & Scott, N. (2014). Influence of social media on Chinese students’ choice of an overseas study destination: An information adoption model perspective. Journal of Travel & Tourism Marketing, 31(2), 286-302.
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.
Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66.
Sundaram, D. S., Mitra, K., & Webster, C. (1998). Word-of-mouth communications: A motivational analysis. ACR North American Advances.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An integrated approach to knowledge adoption. Information Systems Research, 14(1), 47-65.
Teng, S., Wei Khong, K., Wei Goh, W., & Yee Loong Chong, A. (2014). Examining the antecedents of persuasive eWOM messages in social media. Online Information Review, 38(6), 746-768.
Tien, D. H., Rivas, A. A. A., & Liao, Y. K. (2018). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review.
Trusov, M., Bodapati, A. V., & Bucklin, R. E. (2010). Determining influential users in internet social networks. Journal of marketing research, 47(4), 643-658.
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.
Tseng, S., & Fogg, B. (1999). Credibility and computing technology. Communications of the ACM, 42(5), 39-44.
Vandenbosch, B., & Higgins, C. (1996). Information acquisition and mental models: An investigation into the relationship between behaviour and learning. Information Systems Research, 7(2), 198-214.
Wang, X., Yu, C., & Wei, Y. (2012). Social media peer communication and impacts on purchase intentions: A consumer socialization framework. Journal of interactive marketing, 26(4), 198-208.
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.
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.
Westbrook, R. A. (1987). Product/consumption-based affective responses and postpurchase processes. Journal of marketing research, 258-270.
Wiener, J., & Mowen, J. (1985). Source credibility: On the independent effects of trust and expertise when attractiveness is held constant. In A. N. A. Advances (Ed.), Working Paper 85-3: Oklahoma State University.
Wolny, J., & Mueller, C. (2013). Analysis of fashion consumers’ motives to engage in electronic word-of-mouth communication through social media platforms. Journal of marketing Management, 29(5-6), 562-583.
Xu, Q. (2014). Should I trust him? The effects of reviewer profile characteristics on eWOM credibility. Computers in human behavior, 33, 136-144.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 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, W., & Watts, S. (2003). Knowledge adoption in online communities of practice. ICIS 2003 Proceedings, 9.

二、網路文獻
Nielsen顧問公司(2014年8月)。產業報告。Nielsen顧問公司。2017年11月30日取自,https://www.nielsen.com/tw/zh/press-room/2014/news-2014-Taiwan-online-shopping.html
財團法人台灣網路資訊中心(TWNIC)(2017年11月)。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(TWNIC)。於2017年11月30日取自,https://www.twnic.net.tw/doc/twrp/200307index.shtml
SocialPilot公司(2018年1月)。產業報告。SocialPilot公司。2017年11月30日取自,https://www.socialpilot.co/blog/social-media-statistics


QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊