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研究生: 黃仲強
Effendi, Alvin Jonathan
論文名稱: The Influence of Users’ Comments in Brand Post on Decision to Like the Brand in Social Networking Sites
The Influence of Users’ Comment in Brand Post on Decision to Like the Brand in Social Networking Sites
指導教授: 王鈿
Wang, Tien
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所
Institute of International Management
論文出版年: 2019
畢業學年度: 107
語文別: 英文
論文頁數: 58
外文關鍵詞: Decision to like, Comment, Word of mouth, Volume, Valence, Construal level.
相關次數: 點閱:83下載:0
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  • SNS had become a popular marketing medium since the popularity of SNS increased, however, only a few works of literature had reviewed the influence of users’interaction towards the decision to like the brand in SNS. This research has an objective to observe the influence of word of mouth volume and valence towards users’ decision to like the brand, and how users’ individual construal levels can moderate those interactions. The experimental study is used in this research with a total of 4 scenarios and 147 accepted answers of respondents. The respondents were gathered from Amazon Mechanical Turk. The findings in this research show that high volume and positive valence in the comment of a brand post significantly have a positive influence on the users’ decision to like the brand. Meanwhile, a high level of construal in users’ minds is significantly reducing the negative effects of low volume and negative valence in the comment of a brand post towards users’ decision to like the brand. Therefore, theoretical and practical implications are discussed regarding the findings.

    TABLE OF CONTENTS ........... I LIST OF TABLES ............ IV LIST OF FIGURES ............ V CHAPTER ONE INTRODUCTION ........ 1 1.1 Research Background. ........... 1 1.2 Research Gap........... 4 1.3 Research Objectives. ........... 6 1.4 Research Structure. .......... 6 CHAPTER TWO LITERATURE REVIEW....... 7 2.1 Decision to Like the Brand. ......... 7 2.2 Electronic Word of Mouth. .......... 8 2.3 Construal Level Theory. .......... 11 2.4 Hypothesis Development......... 15 2.4.1 Comment Volume Influences the Decision to Like the Brand.. 15 2.4.2 Comment Valence Influences the Decision to Like the Brand. .. 16 2.4.3 Construal Level Moderates Influence of Comment Volume. ... 17 2.4.4 Construal Level Moderates Influence of Comment Valence. ... 18 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY .. 20 3.1 Conceptual Framework. .......... 20 3.2 Summary of Hypotheses.......... 21 3.3 Definition of Variables........... 21 3.4 Research Design. ........... 22 3.4.1 Experimental Design......... 22 3.4.2 Experimental Procedure. ......... 24 3.5 Construct Measurement. .......... 25 3.5.1 Comment Volume. .......... 25 3.5.2 Comment Valence. .......... 25 3.5.3 Decision to Like the Brand. ........ 26 3.5.4 Construal Level. .......... 27 3.5.5 Demographic Measurement. ....... 28 3.6 Data Analysis Procedure.......... 29 CHAPTER FOUR RESEARCH RESULTS ....... 30 4.1 Study Result........... 30 4.1.1 Data Collection. .......... 30 4.1.2 Respondents’ Characteristics. ....... 31 4.1.3 Analysis of Descriptive Statistics........ 32 4.1.4 Factor Analysis and Reliability Test. ...... 33 4.1.5 Manipulation Check of Independent Variables. .... 36 4.1.6 Hypothesis Testing.......... 37 4.2 Summary in Hypothesis Testing. ......... 40 CHAPTER FIVE CONCLUSIONS AND SUGGESTIONS .... 42 5.1 Research Discussion and Conclusion. ....... 42 5.2 Theoretical and Managerial Implications. ....... 45 5.2.1 Theoretical Implications. ........ 45 5.2.2 Managerial Implications. ........ 46 5.3 Limitations and Future Researches. ........ 47 REFERENCES ............ 49

    Abd-Elaziz, M. E., Aziz, W. M., Khalifa, G. S., & Abdel-Aleem, M. (2015).
    Determinants of Electronic word of mouth (EWOM) influence on hotel
    customers' purchasing decision. International Journal of Heritage, Tourism,
    and Hospitality, 9(2), 194-223.
    Anderson, E. W. (1998). Customer satisfaction and word of mouth. Journal of Service
    Research, 1(1), 5-17.
    Ballantine, P. W., Lin, Y., & Veer, E. (2015). The influence of user comments on
    perceptions of Facebook relationship status updates. Computers in Human
    Behavior, 49(0), 50-55.
    Bell, N. J., Schoenrock, C. J., & O'Neal, K. K. (2000). Self‐monitoring and the
    propensity for risk. European Journal of Personality, 14(2), 107-119.
    Blight, M. G., Jagiello, K., & Ruppel, E. K. (2015). “Same stuff different day:” A
    mixed-method study of support seeking on Facebook. Computers in Human
    Behavior, 53(0), 366-373.
    Brandtzaeg, P. B., & Haugstveit, I. M. (2014). Facebook likes: A study of liking
    practices for humanitarian causes. International Journal of Web Based
    Communities, 10(3), 258-279.
    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.
    Burgoon, E. M., Henderson, M. D., & Markman, A. B. (2013). There are many ways
    to see the forest for the trees: A tour guide for abstraction. Perspectives on
    Psychological Science, 8(5), 501-520.
    Buttle, F. A. (1998). Word of mouth: Understanding and managing referral marketing.
    Journal of Strategic Marketing, 6(3), 241-254.
    Carr, C. T., & Hayes, R. A. (2015). Social media: Defining, developing, and divining.
    Atlantic Journal of Communication, 23(1), 46-65.
    Chajut, E., & Algom, D. (2003). Selective attention improves under stress:
    Implications for theories of social cognition. Journal of Personality and Social
    Psychology, 85(2), 231-248.
    Chandran, S., & Menon, G. (2004). When a day means more than a year: Effects of
    temporal framing on judgments of health risk. Journal of Consumer Research,
    31(2), 375-389.
    Chen, H. S., Mitchell, R. K., Brigham, K. H., Howell, R., & Steinbauer, R. (2018).
    Perceived psychological distance, construal processes, and abstractness of
    entrepreneurial action. Journal of Business Venturing, 33(3), 296-314.
    Chen, Y., Wang, Q., & Xie, J. (2011). Online social interactions: A natural experiment
    on word of mouth versus observational learning. Journal of Marketing
    Research, 48(2), 238-254.
    Chen, Z. (2017). Social aceptance and word of mouth: how the motive to belong leads
    to divergent WOM with strangers and friends. Journal of Consumer Research,
    44(3), 613-632.
    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.
    Cheung, C. M., & Lee, M. K. (2012). What drives consumers to spread electronic
    word of mouth in online consumer-opinion platforms. Decision Support
    Systems, 53(1), 218-225.
    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.
    Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online
    user reviews on movie box office performance: Accounting for sequential
    rollout and aggregation across local markets. Marketing Science, 29(5), 944-
    957.
    Christodoulides, G., Jevons, C., & Bonhomme, J. (2012). Memo to marketers:
    Quantitative evidence for change: How user-generated content really affects
    brands. Journal of Advertising Research, 52(1), 53-64.
    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.
    De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand
    fan pages: An investigation of the effects of social media marketing. Journal of
    interactive marketing, 26(2), 83-91.
    Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of
    online feedback mechanisms. Management Science, 49(10), 1407-1424.
    Dowell, D., Morrison, M., & Heffernan, T. (2015). The changing importance of
    affective trust and cognitive trust across the relationship lifecycle: A study of
    business-to-business relationships. Industrial Marketing Management, 44(0),
    119-130.
    East, R., Hammond, K., & Lomax, W. (2008). Measuring the impact of positive and
    negative word of mouth on brand purchase probability. International Journal
    of Research in Marketing, 25(3), 215-224.
    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(0), 47-55.
    Fiedler, K. (2007). Construal level theory as an integrative framework for behavioral
    decision‐making research and consumer psychology. Journal of Consumer
    Psychology, 17(2), 101-106.
    Filbeck, G., Hatfield, P., & Horvath, P. (2005). Risk aversion and personality type.
    The Journal of Behavioral Finance, 6(4), 170-180.
    Flanagin, A. J., & Metzger, M. J. (2013). Trusting expert-versus user-generated
    ratings online: The role of information volume, valence, and consumer
    characteristics. Computers in Human Behavior, 29(4), 1626-1634.
    Förster, J., Friedman, R. S., & Liberman, N. (2004). Temporal construal effects on
    abstract and concrete thinking: Consequences for insight and creative
    cognition. Journal of Personality and Social Psychology, 87(2), 177-189.
    Freeman, N., & Muraven, M. (2010). Self-control depletion leads to increased risk
    taking. Social Psychological and Personality Science, 1(2), 175-181.
    Fujita, K., Henderson, M. D., Eng, J., Trope, Y., & Liberman, N. (2006). Spatial
    distance and mental construal of social events. Psychological Science, 17(4),
    278-282.
    Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth
    communication. Marketing Science, 23(4), 545-560.
    Godes, D., & Mayzlin, D. (2009). Firm-created word-of-mouth communication:
    Evidence from a field test. Marketing Science, 28(4), 721-739.
    Goldsmith, R. E., & Horowitz, D. (2006). Measuring motivations for online opinion
    seeking. Journal of Interactive Advertising, 6(2), 2-14.
    Goodrich, K. (2011). Anarchy of effects? Exploring attention to online advertising and
    multiple outcomes. Psychology & Marketing, 28(4), 417-440.
    Gummerus, J., Liljander, V., Weman, E., & Pihlström, M. (2012). Customer
    engagement in a Facebook brand community. Management Research Review,
    35(9), 857-877.
    Han, D., Duhachek, A., & Agrawal, N. (2014). Emotions shape decisions through
    construal level: The case of guilt and shame. Journal of Consumer Research,
    41(4), 1047-1064.
    Hayes, R. A., & Carr, C. T. (2015). Does being social matter? Effects of enabled
    commenting on credibility and brand attitude in social media. Journal of
    Promotion Management, 21(3), 371-390.
    Heller Baird, C., & Parasnis, G. (2011). From social media to social customer
    relationship management. Strategy & Leadership, 39(5), 30-37.
    Helm, R. K., & Reyna, V. F. (2018). Psychological perspectives on risk and risk
    analysis: Theory, models, and applications. New York: Springer International
    Publishing.
    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.
    Hille, S., & Bakker, P. (2014). Engaging the social news user: Comments on news
    sites and Facebook. Journalism Practice, 8(5), 563-572.
    Holbrook, M. B., & Batra, R. (1987). Assessing the role of emotions as mediators of
    consumer responses to advertising. Journal of Consumer Research, 14(3), 404-
    420.
    Hong, J., & Lee, A. Y. (2010). Feeling mixed but not torn: The moderating role of
    construal level in mixed emotions appeals. Journal of Consumer Research,
    37(3), 456-472.
    Houston, J. B., Hansen, G. J., & Nisbett, G. S. (2011). Influence of user comments on
    perceptions of media bias and third-person effect in online news. Electronic
    News, 5(2), 79-92.
    Huang, N., Burtch, G., Hong, Y., & Polman, E. (2016). Effects of multiple
    psychological distances on construal and consumer evaluation: A field study of
    online reviews. Journal of Consumer Psychology, 26(4), 474-482.
    Hussain, S., Guangju, W., Jafar, R. M. S., Ilyas, Z., Mustafa, G., & Jianzhou, Y.
    (2018). Consumers' online information adoption behavior: Motives and
    antecedents of electronic word of mouth communications. Computers in
    Human Behavior, 80(0), 22-32.
    Jahn, B., & Kunz, W. (2012). How to transform consumers into fans of your brand.
    Journal of Service Management, 23(3), 344-361.
    Kabadayi, S., & Price, K. (2014). Consumer–brand engagement on Facebook: Liking
    and commenting behaviors. Journal of Research in Interactive Marketing,
    8(3), 203-223.
    Keller, E., & Berry, J. (2006). Word-of-mouth: The real action is offline. Advertising
    Age, 77(49), 20-22.
    Khare, A., Labrecque, L. I., & Asare, A. K. (2011). The assimilative and contrastive
    effects of word-of-mouth volume: An experimental examination of online
    consumer ratings. Journal of Retailing, 87(1), 111-126.
    Kim, Y., Sohn, D., & Choi, S. M. (2011). Cultural difference in motivations for using
    social network sites: A comparative study of American and Korean college
    students. Computers in Human Behavior, 27(1), 365-372.
    Kozinets, R. V., De Valck, K., Wojnicki, A. C., & Wilner, S. J. (2010). Networked
    narratives: Understanding word-of-mouth marketing in online communities.
    Journal of marketing, 74(2), 71-89.
    LaPointe, P. (2012). Measuring Facebook's impact on marketing: The proverbial hits
    the fan. Journal of Advertising Research, 52(3), 286-287.
    Lauriola, M., & Levin, I. P. (2001). Personality traits and risky decision-making in a
    controlled experimental task: An exploratory study. Personality and Individual
    Differences, 31(2), 215-226.
    Lee, K. T., & Koo, D. M. (2012). Effects of attribute and valence of e-WOM on
    message adoption: Moderating roles of subjective knowledge and regulatory
    focus. Computers in Human Behavior, 28(5), 1974-1984.
    Lee, M., Rodgers, S., & Kim, M. (2009). Effects of valence and extremity of eWOM
    on attitude toward the brand and website. Journal of Current Issues &
    Research in Advertising, 31(2), 1-11.
    Leith, K. P., & Baumeister, R. F. (1996). Why do bad moods increase self-defeating
    behavior? Emotion, risk tasking, and self-regulation. Journal of Personality
    and Social Psychology, 71(6), 1250-1267.
    Lermer, E., Streicher, B., Sachs, R., Raue, M., & Frey, D. (2015). The effect of
    construal level on risk‐taking. European Journal of Social Psychology, 45(1),
    99-109.
    Lermer, E., Streicher, B., Sachs, R., Raue, M., & Frey, D. (2016a). The Effect of
    Abstract and Concrete Thinking on Risk-Taking Behavior in Women and Men.
    Sage Open, 6(3), 1-4.
    Lermer, E., Streicher, B., Sachs, R., Raue, M., & Frey, D. (2016b). Thinking
    concretely increases the perceived likelihood of risks: The effect of construal
    level on risk estimation. Risk Analysis, 36(3), 623-637.
    Levy, S. R., Freitas, A. L., & Salovey, P. (2002). Construing action abstractly and
    blurring social distinctions: Implications for perceiving homogeneity among,
    but also empathizing with and helping, others. Journal of Personality and
    Social Psychology, 83(5), 1224.
    Liberman, N., Sagristano, M. D., & Trope, Y. (2002). The effect of temporal distance
    on level of mental construal. Journal of Experimental Social Psychology,
    38(6), 523-534.
    Lipsman, A., Mudd, G., Rich, M., & Bruich, S. (2012). The power of “like”: How
    brands reach (and influence) fans through social-media marketing. Journal of
    Advertising Research, 52(1), 40-52.
    Liu, Q., Zhou, M., & Zhao, X. (2015). Understanding News 2.0: A framework for
    explaining the number of comments from readers on online news. Information
    & Management, 52(7), 764-776.
    Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office
    revenue. Journal of Marketing, 70(3), 74-89.
    Lorenzo-Romero, C., Constantinides, E., & Alarcón-del-Amo, M. D. C. (2011).
    Consumer adoption of social networking sites: Implications for theory and
    practice. Journal of Research in Interactive Marketing, 5(2), 170-188.
    Luguri, J. B., Napier, J. L., & Dovidio, J. F. (2012). Reconstruing intolerance:
    Abstract thinking reduces conservatives’ prejudice against nonnormative
    groups. Psychological Science, 23(7), 756-763.
    Lynch Jr, J. G., & Zauberman, G. (2007). Construing consumer decision making.
    Journal of Consumer Psychology, 17(2), 107-112.
    Ma, X., Khansa, L., Deng, Y., & Kim, S. S. (2013). Impact of prior reviews on the
    subsequent review process in reputation systems. Journal of Management
    Information Systems, 30(3), 279-310.
    Madianou, M. (2013). Humanitarian campaigns in social media: Network
    architectures and polymedia events. Journalism Studies, 14(2), 249-266.
    Malhotra, A., Malhotra, C. K., & See, A. (2013). How to create brand engagement on
    Facebook. MIT Sloan Management Review, 54(2), 18-20.
    Mariani, R., & Mohammed, D. (2014). "Like" A Global Endorsement. How Clicking"
    Like" Influences Facebook Users Brand Recall and Future Purchasing
    Intentions. Journal of Management Policy & Practice, 15(4), 51-63.
    Mehdizadeh, S. (2010). Self-presentation 2.0: Narcissism and self-esteem on
    Facebook. Cyberpsychology, Behavior, and Social Networking, 13(4), 357-
    364.
    Muniz, A. M., & O'guinn, T. C. (2001). Brand community. Journal of Consumer
    Research, 27(4), 412-432.
    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, 76(6), 105-120.
    Oeldorf-Hirsch, A., & Sundar, S. S. (2015). Posting, commenting, and tagging:
    Effects of sharing news stories on Facebook. Computers in Human Behavior,
    44(0), 240-249.
    Pan, X., Hou, L., Liu, K., & Niu, H. (2018). Do reviews from friends and the crowd
    affect online consumer posting behaviour differently? Electronic Commerce
    Research and Applications, 29(0), 102-112.
    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, 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, J., Gu, B., & Lee, H. (2012). The relationship between retailer-hosted and thirdparty
    hosted WOM sources and their influence on retailer sales. Electronic
    Commerce Research and Applications, 11(3), 253-261.
    Park, N., Kee, K. F., & Valenzuela, S. (2009). Being immersed in social networking
    environment: Facebook groups, uses and gratifications, and social outcomes.
    CyberPsychology & Behavior, 12(6), 729-733.
    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.
    Pizzi, G., Marzocchi, G. L., Orsingher, C., & Zammit, A. (2015). The temporal
    construal of customer satisfaction. Journal of Service Research, 18(4), 484-
    497.
    Raue, M., Streicher, B., Lermer, E., & Frey, D. (2015). How far does it feel?
    Construal level and decisions under risk. Journal of Applied Research in
    Memory and Cognition, 4(3), 256-264.
    Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R.
    (2009). Personality and motivations associated with Facebook use. Computers
    in Human Behavior, 25(2), 578-586.
    Sagristano, M. D., Trope, Y., & Liberman, N. (2002). Time-dependent gambling:
    Odds now, money later. Journal of Experimental Psychology: General, 131(3),
    364-376.
    Schivinski, B., Christodoulides, G., & Dabrowski, D. (2016). Measuring consumers'
    engagement with brand-related social-media content: Development and
    validation of a scale that identifies levels of social-media engagement with
    brands. Journal of Advertising Research, 2016(1), 64-80.
    Smith, A. N., Fischer, E., & Yongjian, C. (2012). How does brand-related usergenerated
    content differ across YouTube, Facebook, and Twitter? Journal of
    Interactive Marketing, 26(2), 102-113.
    Smith, R. E., Chen, J., & Yang, X. (2008). The impact of advertising creativity on the
    hierarchy of effects. Journal of Advertising, 37(4), 47-62.
    Smock, A. D., Ellison, N. B., Lampe, C., & Wohn, D. Y. (2011). Facebook as a
    toolkit: A uses and gratification approach to unbundling feature use.
    Computers in Human Behavior, 27(6), 2322-2329.
    Stephan, E., Liberman, N., & Trope, Y. (2011). The effects of time perspective and
    level of construal on social distance. Journal of Experimental Social
    Psychology, 47(2), 397-402.
    Sundaram, D. S., Mitra, K., & Webster, C. (1998). Word-of-mouth communications:
    A motivational analysis. ACR North American Advances, 25(0), 527-531.
    Swani, K., Milne, G., & P. Brown, B. (2013). Spreading the word through likes on
    Facebook: Evaluating the message strategy effectiveness of Fortune 500
    companies. Journal of Research in Interactive Marketing, 7(4), 269-294.
    Torelli, C. J., & Kaikati, A. M. (2009). Values as predictors of judgments and
    behaviors: The role of abstract and concrete mindsets. Journal of Personality
    and Social Psychology, 96(1), 231-247.
    Trope, Y., & Liberman, N. (2003). Temporal construal. Psychological Review, 110(3),
    403-421.
    Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance.
    Psychological Review, 117(2), 440-463.
    Trope, Y., Liberman, N., & Wakslak, C. (2007). Construal levels and psychological
    distance: Effects on representation, prediction, evaluation, and behavior.
    Journal of Consumer Psychology, 17(2), 83-95.
    Vallacher, R. R., & Wegner, D. M. (1989). Levels of personal agency: Individual
    variation in action identification. Journal of Personality and Social
    Psychology, 57(4), 660-671.
    Wakslak, C. J., Trope, Y., Liberman, N., & Alony, R. (2006). Seeing the forest when
    entry is unlikely: Probability and the mental representation of events. Journal
    of Experimental Psychology: General, 135(4), 641-653.
    Wallace, D., Walker, J., Lopez, T., & Jones, M. (2009). Do word of mouth and
    advertising messages on social networks influence the purchasing behavior of
    college students? Journal of Applied Business Research, 25(1), 101-109.
    Wallace, E., Buil, I., & de Chernatony, L. (2014). Consumer engagement with selfexpressive
    brands: Brand love and WOM outcomes. Journal of Product &
    Brand Management, 23(1), 33-42.
    Wallace, E., Buil, I., de Chernatony, L., & Hogan, M. (2014). Who “likes” you… and
    why? A typology of facebook fans: From “fan”-atics and self-expressives to
    utilitarians and authentics. Journal of Advertising Research, 54(1), 92-109.
    Walther, J. B., Liang, Y., Ganster, T., Wohn, D. Y., & Emington, J. (2012). Online
    reviews, helpfulness ratings, and consumer attitudes: An extension of
    congruity theory to multiple sources in Web 2.0. Journal of Computer-
    Mediated Communication, 18(1), 97-112.
    Wang, T., Yeh, R. K. J., Chen, C., & Tsydypov, Z. (2016). What drives electronic
    word-of-mouth on social networking sites? Perspectives of social capital and
    self-determination. Telematics and Informatics, 33(4), 1034-1047.
    Yang, T. (2012). The decision behavior of Facebook users. Journal of Computer
    Information Systems, 52(3), 50-59.
    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.
    Zou, P., Yu, B., & Hao, Y. (2011). Does the valence of online consumer reviews
    matter for consumer decision making? The moderating role of consumer
    expertise. Journal of Computers, 6(3), 484-488.

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