The Impact of Relational Characteristics on Consumer Responses to Word of Mouth on Social Networking Sites
暂无分享,去创建一个
[1] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[2] Lixuan Zhang,et al. Drivers and Outcomes of Brand Relationship Quality in the Context of Online Social Networks , 2013, Int. J. Electron. Commer..
[3] M. Gilly,et al. A dyadic study of interpersonal information search , 1998 .
[4] J. Mccroskey,et al. THE EFFECT OF INTERACTION BEHAVIOR ON SOURCE CREDIBILITY, HOMOPHILY, AND INTERPERSONAL ATTRACTION , 1974 .
[5] J. Mccroskey,et al. Analysis and Improvement of the Measurement of Interpersonal Attraction and Homophily , 2006 .
[6] Sofie Bitter,et al. Consequences of customer engagement behavior: when negative Facebook posts have positive effects , 2016, Electron. Mark..
[7] James G. Helgeson,et al. A Conceptual and Measurement Comparison of Self-Congruity and Brand Personality , 2004 .
[8] S. Fournier,et al. Consumers and Their Brands: Developing Relationship Theory in Consumer Research , 1998 .
[9] Huaping Chen,et al. Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..
[10] Shelly Rodgers,et al. Development of an Instrument to Measure Web Site Personality , 2006 .
[11] Sony Kusumasondjaja,et al. Credibility of online reviews and initial trust , 2012 .
[12] P. Herr,et al. Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective , 1991 .
[13] Yongjun Sung,et al. Brand followers' retweeting behavior on Twitter: How brand relationships influence brand electronic word-of-mouth , 2014, Comput. Hum. Behav..
[14] J. Walther,et al. Health Information, Credibility, Homophily, and Influence via the Internet: Web Sites Versus Discussion Groups , 2008, Health communication.
[15] Roobina Ohanian. Construction and Validation of a Scale to Measure Celebrity Endorsers' Perceived Expertise, Trustworthiness, and Attractiveness , 1990 .
[16] P. Lazarsfeld,et al. Friendship as Social process: a substantive and methodological analysis , 1964 .
[17] Alain Yee-Loong Chong,et al. Determinants of negative word-of-mouth communication using social networking sites , 2016, Inf. Manag..
[18] Rodrigo Uribe,et al. Sidedness, commercial intent and expertise in blog advertising , 2016 .
[19] Taesik Lee,et al. Gender differences in consumers’ perception of online consumer reviews , 2011, Electron. Commer. Res..
[20] Christopher C. Yang,et al. Identifying Implicit and Explicit Relationships Through User Activities in Social Media , 2013, Int. J. Electron. Commer..
[21] Dwayne D. Gremler,et al. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .
[22] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[23] M. Sirgy,et al. Moderators of the self-congruity effect on consumer decision-making: A meta-analysis , 2012 .
[24] R. Hanneman. Introduction to Social Network Methods , 2001 .
[25] Maggie Geuens,et al. Planning and Conducting Experimental Advertising Research and Questionnaire Design , 2017 .
[26] Jose M. Such,et al. BFF: A tool for eliciting tie strength and user communities in social networking services , 2013, Information Systems Frontiers.
[27] J. Sweeney,et al. Brand personality: Exploring the potential to move from factor analytical to circumplex models , 2006 .
[28] Patrick De Pelsmacker,et al. A Meta-analytic Investigation of the Role of Valence in Online Reviews , 2015 .
[29] Patrick De Pelsmacker,et al. Don't be so emotional! How tone of voice and service type affect the relationship between message valence and consumer responses to WOM in social media , 2017, Online Inf. Rev..
[30] M. Thelwall. Homophily in MySpace , 2009, J. Assoc. Inf. Sci. Technol..
[31] Alain Yee-Loong Chong,et al. Examining the antecedents of persuasive eWOM messages in social media , 2014, Online Inf. Rev..
[32] Jang-Sun Hwang,et al. How Consumers Evaluate eWOM (Electronic Word-of-Mouth) Messages , 2009, Cyberpsychology Behav. Soc. Netw..
[33] B. J. Fogg,et al. Prominence-interpretation theory: explaining how people assess credibility online , 2003, CHI Extended Abstracts.
[34] Chinintorn Nakhata,et al. The Impact of Electronic Word-of-Mouth on Customer Satisfaction , 2019, Journal of Marketing Theory and Practice.
[35] Danah Boyd,et al. Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..
[36] Victoria D. Bush,et al. What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature , 2014 .
[37] Shu-Chuan Chu,et al. Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites , 2011 .
[38] Hart Blanton,et al. Evaluating the Self in the Context of Another: The Three-Selves Model of Social Comparison Assimilation and Contrast , 2013 .
[39] Eric Gilbert,et al. Predicting tie strength with social media , 2009, CHI.
[40] J. Hair. Multivariate data analysis : a global perspective , 2010 .
[41] K. King,et al. The Effects of Interpersonal Tie Strength and Subjective Norms on Consumers' Brand-Related eWOM Referral Intentions , 2015 .
[42] G. Lilien,et al. A multi-stage model of word-of-mouth influence through viral marketing , 2008 .
[43] Chanthika Pornpitakpan. The Persuasiveness of Source Credibility: A Critical Review of Five Decades' Evidence , 2004 .
[44] Erin M. Steffes,et al. Social ties and online word of mouth , 2009, Internet Res..
[45] Iryna Pentina,et al. Exploring effects of source similarity, message valence, and receiver regulatory focus on yelp review persuasiveness and purchase intentions , 2018 .
[46] Patrick De Pelsmacker,et al. EXPERT REVIEWERS BEWARE! THE EFFECTS OF REVIEW SET BALANCE, REVIEW SOURCE AND REVIEW CONTENT ON CONSUMER RESPONSES TO ONLINE REVIEWS , 2014 .
[47] Sushant S. Khopkar,et al. A penalty box approach for approximation betweenness and closeness centrality algorithms , 2015, Social Network Analysis and Mining.
[48] L. Festinger. A Theory of Social Comparison Processes , 1954 .
[49] Miriam J. Metzger. Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research , 2007, J. Assoc. Inf. Sci. Technol..
[50] Bilal Gonen,et al. User characterization for online social networks , 2016, Social Network Analysis and Mining.
[51] Mark S. Granovetter. The Strength of Weak Ties , 1973, American Journal of Sociology.
[52] Yong Liu. Word-of-Mouth for Movies: Its Dynamics and Impact on Box Office Revenue , 2006 .
[53] E. Rogers,et al. HOMOPHILY-HETEROPHILY: RELATIONAL CONCEPTS FOR COMMUNICATION RESEARCH , 1970 .
[54] Ingoo Han,et al. The effect of negative online consumer reviews on product attitude: An information processing view , 2008, Electron. Commer. Res. Appl..
[55] Youn-Kyung Kim,et al. Actual and ideal self-congruity affecting consumers' emotional and behavioral responses toward an online store , 2014, Comput. Hum. Behav..
[56] Yi-Cheng Ku,et al. Gratifications for using CMC technologies: A comparison among SNS, IM, and e-mail , 2013, Comput. Hum. Behav..
[57] M. Gilly,et al. Explorations of National Culture and Word-of-Mouth Referral Behavior in the Purchase of Industrial Services in the United States and Japan , 1998 .
[58] Yong Zhang,et al. Consumer product evaluation: the interactive effect of message framing, presentation order, and source credibility , 2000 .
[59] Andrew B. Whinston,et al. Whose and what chatter matters? The effect of tweets on movie sales , 2013, Decis. Support Syst..
[60] N. Lee,et al. Word of mouth communication within online communities: Conceptualizing the online social network , 2007 .
[61] Scott B. MacKenzie,et al. Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.
[62] Kiwan Park,et al. Do we always adopt Facebook friends’ eWOM postings? The role of social identity and threat , 2018, Electronic Word of Mouth as a Promotional Technique.
[63] Peter H. Reingen,et al. Social Ties and Word-of-Mouth Referral Behavior , 1987 .
[64] Tammo H. A. Bijmolt,et al. The Effect of Electronic Word of Mouth on Sales: A Meta-Analytic Review of Platform, Product, and Metric Factors , 2016 .
[65] Julian K. Ayeh,et al. “Do We Believe in TripAdvisor?” Examining Credibility Perceptions and Online Travelers’ Attitude toward Using User-Generated Content , 2013 .
[66] J. Aaker,et al. Dimensions of Brand Personality , 1997 .
[67] Jay Kandampully,et al. The influence of eWOM communications: An application of online social network framework , 2018, Comput. Hum. Behav..
[68] Howard E. Aldrich,et al. The Structure of Founding Teams: Homophily, Strong Ties, and Isolation among U.S. Entrepreneurs , 2003, American Sociological Review.
[69] P. V. Marsden,et al. Measuring Tie Strength , 1984 .
[70] C. Fornell,et al. Evaluating structural equation models with unobservable variables and measurement error. , 1981 .
[71] A. Kaplan,et al. Users of the world, unite! The challenges and opportunities of Social Media , 2010 .
[72] Shu-Chuan Chu,et al. The current state of knowledge on electronic word-of-mouth in advertising research , 2018, Electronic Word of Mouth as a Promotional Technique.
[73] Chuan-Hoo Tan,et al. Helpfulness of Online Product Reviews as Seen by Consumers: Source and Content Features , 2013, Int. J. Electron. Commer..
[74] Patrick De Pelsmacker,et al. Balance and Sequence in Online Reviews: The Wrap Effect , 2012, Int. J. Electron. Commer..
[75] Mohammad Salehan,et al. A Unified Model for the Adoption of Electronic Word of Mouth on Social Network Sites: Facebook as the Exemplar , 2018, Int. J. Electron. Commer..