The present study investigates the effects of linguistic cues in online product reviews and system-generated cues in reviewer’s profiles in a mobile application (App) setting, and their effects on users’ credibility perceptions and product purchase intentions. On one side, based on Language Expectancy Theory (LET) we examine whether the linguistic characteristics of reviews, such as linguistic intensity, formality, and jargon, influence credibility perceptions and product purchase intention, and on the other side, based on Social Information Processing Theory (SIPT), we verify whether the system-generated cues provided in reviewers’ profiles in mobile apps, such as the number of followers, also affect credibility perceptions and intention to buy. Within this specific framework, wine is our target product, wine reviews are our main focus, and wine consumers with English proficiency are our end respondents. The evaluation of the constructs is derived from existing literature on online product reviews, credibility perceptions and purchase intention, as well as computer-mediated communication (CMC), mobile apps and system-generated cues provided by IT artifacts. An experimental between-subjects research design is proposed to test our research model and relationships, and our results confirm the influence of linguistic and system-generated cues on credibility perceptions and product purchase intentions.

REFERENCES
Agrifrance. (2015). New Producers, New Consumers - The Revolution of the Global Wine Market: Agrifance - BNP Paribas Wealth Management.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Englewood Cliffs, NJ: Prentice-Hall.
Anckar, B., & D'Incau, D. (2002). Value creation in mobile commerce: findings from a consumer survey. Journal of Information Technology Theory and Application, 4(1), 43-64.
Andersen, P. A., & Blackburn, T. R. (2004). An experimental study of language intensity and response rate in e-mail surveys. Communication Reports, 17(2), 73-84.
Anderson, K., & Nelgen, S. (2011). Global Wine Markets, 1961 to 2009: A Statistical Compendium: University of Adelaide Press.
Antheunis, M. L., & Schouten, A. P. (2011). The effects of other generated and system generated cues on adolescents' perceived attractiveness on social network sites. Journal of Computer Mediated Communication, 16(3), 391-406.
Armstrong, C. L., & Nelson, M. R. (2005). How newspaper sources trigger gender stereotypes. Journalism & Mass Communication Quarterly, 82(4), 820-837.
Arndt, J. (1967). Role of product-related conversations in the diffusion of a new product. Journal of Marketing Research, 4(3), 291-295.
Aune, R. K., & Kikuchi, T. (1993). Effects of language intensity similarity on perceptions of credibility relational attributions, and persuasion. Journal of Language and Social Psychology, 12(3), 224-238.
Aurifeill, J., Quester, P., Hall, J., & Lockshin, L. (1999). Investigating situational effects in wine consumption: a means-end approach. European Advances in Consumer Research, 4(0), 104-111.
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 0(0), 1-16.
Barber, N., Almanza, B. A., & Donovan, J. R. (2006). Motivational factors of gender, income and age on selecting a bottle of wine. International Journal of Wine Marketing, 18(3), 218-232.
Barber, N., Ismail, J., & Taylor, D. C. (2007). Label fluency and consumer self-confidence. Journal of Wine Research, 18(2), 73-85.
Berger, C. R., & Burgoon, M. (1995). Communication and Social Influence Processes: Michigan State University Press.
Berger, C. R., & Calabrese, R. J. (1975). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human communication research, 1(2), 99-112.
Berlo, D. K., Lemert, J. B., & Mertz, R. J. (1969). Dimensions for evaluating the acceptability of message sources. Public Opinion Quarterly, 33(4), 563-576.
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
Biber, D. (1991). Variation Across Speech and Writing: Cambridge University Press.
Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer u information. Journal of Interactive Marketing, 15(3), 31-40.
Bouwman, H., López–Nicolás, C., Molina–Castillo, F. J., & Hattum, P. V. (2012). Consumer lifestyles: alternative adoption patterns for advanced mobile services. International Journal of Mobile Communications, 10(2), 169-189.
Bowers, J. W. (1963). Language intensity, social introversion, and attitude change. Communications Monographs, 30(4), 345-352.
Bradac, J. J., Bowers, J. W., & Courtright, J. A. (1979). Three language variables in communication research: Intensity, immediacy, and diversity. Human Communication Research, 5(3), 257-269.
Breslin, K. (2013). Presentation on Constellation Digital Marketing in 2012. San Francisco, CA, November.
Britton, B. K., Glynn, S. M., Meyer, B. J., & Penland, M. (1982). Effects of text structure on use of cognitive capacity during reading. Journal of Educational Psychology, 74(1), 51-61.
Budin, G., & Wright, S. (1997). Handbook of Terminology Management, (Vol. 1 - Basic Aspects of Terminology Management): John Benjamins, Amsterdam.
Buller, D. B., Borland, R., & Burgoon, M. (1998). Impact of behavioural intention on effectiveness of message features. Human Communication Research, 24(3), 433-453.
Buller, D. B., Burgoon, M., Hall, J. R., Levine, N., Taylor, A. M., Beach, B., . . . Melcher, C. (2000). Long-term effects of language intensity in preventive messages on planned family solar protection. Health Communication, 12(3), 261-275.
Buller, D. B., Burgoon, M., Hall, J. R., Levine, N., Taylor, A. M., Beach, B. H., . . . Hunsaker, F. G. (2000). Using language intensity to increase the success of a family intervention to protect children from ultraviolet radiation: Predictions from language expectancy theory. Preventive Medicine, 30(2), 103-113.
Burgoon, J. K., & Hale, J. L. (1984). The fundamental topoi of relational communication. Communication Monographs, 51(3), 193-214.
Burgoon, M. (1989). Messages and persuasive effects. Message Effects in Communication Science, Sage Newbury Park, CA, 129-164.
Burgoon, M., Jones, S. B., & Stewart, D. (1975). Toward a message-centered theory of persuasion: Three empirical investigations of language intensity. Human Communication Research, 1(3), 240-256.
Burgoon, M., & Miller, G. R. (1971). Prior attitude and language intensity as predictors of message style and attitude change following counterattitudinal advocacy. Journal of Personality and Social Psychology, 20(2), 246-253.
Burgoon, M., & Miller, G. R. (1985). An expectancy interpretation of language and persuasion.
Carlsson, C., Carlsson, J., Hyvonen, K., Puhakainen, J., & Walden, P. (2006). Adoption of Mobile Devices/Services-Searching for Answers with the UTAUT. Paper presented at the System Sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii International Conference on.
Carr, C. T., Vitak, J., & McLaughlin, C. (2013). Strength of social cues in online impression formation: Expanding SIDE research. Communication Research, 40(2), 261-281.
Chaney, I. M. (1999). The Grapevine for New Zealand Wine: A Multi-Dimensional Analysis of Information Dissemination. Royal Holloway, University of London.
Chaney, I. M. (2000). A comparative analysis of wine reviews. British Food Journal, 102(7), 470-480.
Charters, S., & Pettigrew, S. (2005). Is wine consumption an aesthetic experience? Journal of Wine Research, 16(2), 121-136.
Charters, S., & Pettigrew, S. (2007). The dimensions of wine quality. Food Quality and Preference, 18(7), 997-1007.
Chebat, J. C., Gelinas‐Chebat, C., Hombourger, S., & Woodside, A. G. (2003). Testing consumers' motivation and linguistic ability as moderators of dvertising readability. Psychology & Marketing, 20(7), 599-624.
Cheng, X., & Zhou, M. (2010). Empirical Study on Credibility of Electronic Word Of Mouth. Paper presented at the Management and Service Science (MASS), 2010 International Conference on Management and Service Science.
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. (2010). The effectiveness of electronic word-of-mouth communication: A literature analysis. Paper presented at the Proceedings of The 23rd Bled eConference eTrust: Implications for the Individual, Enterprises and Society.
Clark, H. H., & Brennan, S. E. (1991). Grounding in communication. Perspectives on Socially Shared Cognition, 13(1991), 127-149.
Clark, H. H., & Marshall, C. R. (1981). Definite Reference and Mutual Knowledge.
Combris, P., Lecocq, S., & Visser, M. (1997). Estimation of a hedonic price equation for bordeaux wine: Does quality matter? The Economic Journal, 107(441), 390-402.
Cooper-Martin, E. (1991). Consumers and movies: Some findings on experiential products. Advances in Consumer Research, 18(0), 372-378.
Craig, T. Y., & Blankenship, K. L. (2011). Language and persuasion: Linguistic extremity influences message processing and behavioral intentions. Journal of Language and Social Psychology, XX(X), 1-21.
Cui, G., Lui, H.-K., & Guo, X. (2012). The effect of online consumer reviews on new product sales. International Journal of Electronic Commerce, 17(1), 39-58.
D’Angelo, J., & Van Der Heide, B. (2016). The formation of physician impressions in online communities: Negativity, positivity, and nonnormativity effects. Communication Research, 43(1), 49-72.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
De Condillac, E. B. (1782). Cours d'étude pour l'Instruction du Prince de Parme: Tome Troisieme - De l'Art de Raisonner/par M. l'Abbé de Condillac.
Dellarocas, C., Zhang, X. M., & Awad, N. F. (2007). Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing, 21(4), 23-45.
Dodd, T. H., Laverie, D. A., Wilcox, J. F., & Duhan, D. F. (2005). Differential effects of experience, subjective knowledge, and objective knowledge on sources of information used in consumer wine purchasing. Journal of Hospitality & Tourism Research, 29(1), 3-19.
Doh, S.-J., & Hwang, J.-S. (2009). How consumers evaluate eWOM (electronic word-of-mouth) messages. CyberPsychology & Behavior, 12(2), 193-197.
Donath, J., & Boyd, D. (2004). Public displays of connection. BT Technology Journal, 22(4), 71-82.
Drummond, G., & Rule, G. (2005). Consumer confusion in the UK wine industry. Journal of Wine Research, 16(1), 55-64.
Dubow, J. S. (1992). Occasion-based vs. user-based benefit segmentation: A case study. Journal of Advertising Research, 32(2), 11-18.
Eisend, M. (2006). Source credibility dimensions in marketing communication: A generalized solution. Journal of Empirical Generalizations in Marketing, 10(2), 1-33.
Filieri, R., & McLeay, F. (2014). E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews. Journal of Travel Research, 53(1), 44-57.
Fishbein, M., & Ajzen, I. (1975). Belief, attitudes, intention, and behavior: An introduction to theory and research. . Massachussets: Addison-Wesley.
Flanagin, A. J., & Metzger, M. J. (2000). Perceptions of internet information credibility. Journalism & Mass Communication Quarterly, 77(3), 515-540.
Flanagin, A. J., Metzger, M. J., Pure, R., Markov, A., & Hartsell, E. (2014). Mitigating risk in e-commerce transactions: Perceptions of information credibility and the role of user-generated ratings in product quality and purchase intention. Electronic Commerce Research, 14(1), 1-23.
Floh, A., Koller, M., & Zauner, A. (2009). The Impact of Perceived Valence, Perceived Information Credibility and Valence Intensity of Online Reviews on Purchase Intentions. Paper presented at the 9th International Conference on Electronic Business, Macau.
Fulk, J. (1993). Social construction of communication technology. Academy of Management Journal, 36(5), 921-950.
Gluckman, R. L. (1990). A consumer approach to branded wines. International Journal of Wine Marketing, 2(1), 27-46.
Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545-560.
Gustafson, C. R., Lybbert, T. J., & Sumner, D. A. (2011). Consumer Characteristics, Identification, and Hedonic Valuation of Wine Attributes: Exploiting Data from a Field Experiment.
Haberstroh, S. (2010). College counselors' use of informal language online: Student perceptions of expertness, trustworthiness, and attractiveness. Cyberpsychology, Behavior, and Social Networking, 13(4), 455-459.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate Data Analysis (Vol. 6): Pearson Prentice Hall Upper Saddle River, NJ.
Hall, J., & Lockshin, L. (2000). Using means-end chains for analysing occasions-not buyers. Australasian Marketing Journal (AMJ), 8(1), 45-54.
Hall, J., & Winchester, M. (2000). What's really rriving wine consumers? Australian & New Zealand Wine Industry Journal, 15(4), S68-S72.
Hamilton, M. A. (1998). Message variables that mediate and moderate the effect of equivocal language on source credibility. Journal of Language and Social Psychology, 17(1), 109-143.
Hamilton, M. A., Hunter, J. E., & Burgoon, M. (1990). An empirical test of an axiomatic model of the relationship between language intensity and persuasion. Journal of Language and Social Psychology, 9(4), 235-255.
Hamilton, M. A., & Stewart, B. L. (1993). Extending an information processing model of language intensity effects. Communication Quarterly, 41(2), 231-246.
Hemingway, E. M. (1964). A Moveable Feast New York: Charles Scribner’s Sons.
Herr, P. M., Kardes, F. R., & Kim, J. (1991). Effects of word-of-mouth and product-attribute information on persuasion: An accessibility-diagnosticity perspective. Journal of Consumer Research, 17(4), 454-462.
Heylighen, F., & Dewaele, J.-M. (1999). Formality of language: definition, measurement and behavioral determinants. Interner Bericht, Center “Leo Apostel”, Vrije Universiteit Brüssel.
Heylighen, F., & Dewaele, J.-M. (2002). Variation in the contextuality of language: An empirical measure. Foundations of Science, 7(3), 293-340.
Hoehle, H., & Venkatesh, V. (2015). Mobile application usability: Conceptualization and instrument development. MIS Quarterly, 39(2), 435-472.
Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and Persuasion; Psychological Studies of Opinion Change.
Huang, A. H., Chen, K., Yen, D. C., & Tran, T. P. (2015). A study of factors that contribute to online review helpfulness. Computers in Human Behavior, 48(0), 17-27.
Huang, P., Lurie, N. H., & Mitra, S. (2009). Searching for experience on the web: An empirical examination of consumer behavior for search and experience goods. Journal of Marketing, 73(2), 55-69.
Jae, H. (2011). Cognitive load and syntactic complexity of printed advertisements: Effects on consumer’s attitudes. The Marketing Management Journal, 21(1), 152-159.
Jeng, Y.-L., Wu, T.-T., Huang, Y.-M., Tan, Q., & Yang, S. J. (2010). The add-on impact of mobile applications in learning strategies: A review study. Educational Technology & Society, 13(3), 3-11.
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.
Jessmer, S. L., & Anderson, D. (2001). The effect of politeness and grammar on user perceptions of electronic mail. North American Journal of Psychology, 3(2), 331-346.
Jiang, Z., & Benbasat, I. (2007). Research note-investigating the influence of the functional mechanisms of online product presentations. Information Systems Research, 18(4), 454-470.
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.
Johnson, B. T., Lin, H.-Y., Symons, C. S., Campbell, L. A., & Ekstein, G. (1995). Initial beliefs and attitudinal latitudes as factors in persuasion. Personality and Social Psychology Bulletin, 21(5), 502-511.
Jover, A. J. V., Montes, F. J. L., & Fuentes, M. d. M. F. (2004). Measuring perceptions of quality in food products: The case of red wine. Food Quality and Preference, 15(5), 453-469.
Kelly, K. (2006). We are the Web 2. 0: Wired.
Keppel, G., & Zedeck, S. (1989). Data Analysis for Research Designs:Analysis of Variance and Multiple Regression/Correlation Approaches. : Macmillan.
Kerstetter, D., & Cho, M.-H. (2004). Prior knowledge, credibility and information search. Annals of Tourism Research, 31(4), 961-985.
King, C. W., & Summers, J. O. (1970). Overlap of opinion leadership across consumer product categories. Journal of Marketing Research, 7(1), 43-50.
Krauss, R. M., & Weinheimer, S. (1966). Concurrent feedback, confirmation, and the encoding of referents in verbal communication. Journal of Personality and Social psychology, 4(3), 343-346.
Kulviwat, S., Bruner, I., Gordon, C., Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a unified theory of consumer acceptance technology. Psychology & Marketing, 24(12), 1059-1084.
Lafferty, B. A., & Goldsmith, R. E. (1999). Corporate credibility’s role in consumers’ attitudes and purchase intentions when a high versus a low credibility endorser is used in the ad. Journal of Business Research, 44(2), 109-116.
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, 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, M., & Youn, S. (2009). Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28(3), 473-499.
Levelt, W. J. (1989). Speaking: From intention to articulation. MA: The MIT Press, Cambridge.
Lim, Y. s., & Van Der Heide, B. (2015). Evaluating the wisdom of strangers: The perceived credibility of online consumer reviews on yelp. Journal of Computer‐Mediated Communication, 20(1), 67-82.
Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74-89.
Lockshin, L., & Hall, J. (2003). Consumer Purchasing Behaviour for Wine: What We Know and Where We Are Going. University of South Australia, Wine Marketing Research Group.
Lockshin, L. S., Spawton, A. L., & Macintosh, G. (1997). Using product, brand and purchasing involvement for retail segmentation. Journal of Retailing and Consumer Services, 4(3), 171-183.
Lockshin, L. S., & Timothy Rhodus, W. (1993). The effect of price and oak flavor on perceived wine quality. International Journal of Wine Marketing, 5(2/3), 13-25.
López-Nicolás, C., Molina-Castillo, F. J., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information and Management, 45(6), 359-364.
Lowrey, T. M. (1998). The effects of syntactic complexity on advertising persuasiveness. Journal of Consumer Psychology, 7(2), 187-206.
Malik, A., Kumra, R., & Srivastava, V. (2013). Determinants of consumer acceptance of m-commerce. South Asian Journal of Management, 20(2), 102.
Mallat, N., Rossi, M., Tuunainen, V. K., & Öörni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information and Management, 46(3), 190-195.
Manfredo, M. J., & Bright, A. D. (1991). A model for assessing the effects of communication on recreationists. Journal of Leisure Research, 23(1), 1-20.
Marks, D. (2011). Competitiveness and the market for central and eastern European wines: A cultural good in the global wine market. Journal of Wine Research, 22(3), 245-263.
Markus, M. L. (1987). Toward a “critical mass” theory of interactive media universal access, interdependence and diffusion. Communication Research, 14(5), 491-511.
McCroskey, J. C., & Richmond, V. P. (1995). Fundamentals of Human Communication: An Interpersonal Perspective: Waveland Pr Inc.
Metzger, M. J., Flanagin, A. J., Eyal, K., Lemus, D. R., & McCann, R. M. (2003). Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment. Communication Yearbook, 27, 293-336.
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010). Social and heuristic approaches to credibility evaluation online. Journal of communication, 60(3), 413-439.
Mudambi, S. M., & Schuff, D. (2010). What makes a helpful review? A study of customer reviews on amazon.com. MIS Quarterly, 34(1), 185-200.
Newman, K. (2010). How wine lovers use social media: Wine and social media have created an incredible force within the industry (Vol. 3).
Nicolson, P. (1990). Gender, power and wine selection: A pilot study. Journal of Wine Research, 1(3), 235-242.
Nielsen. (2012). Consumer Trust in Online, Social and Mobile Advertising Grows. .
Nielsen. (2013). An Era of Growth: The Cross-Platform Report Q4.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of The Academy of Marketing Science, 33(3), 330-346.
O'Keefe, D. J. (2002). Persuasion: Theory and Research: Beverly Hills, CA: Sage.
O'Reilly, T. (2007). What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software. Communications and Strategies, 65(1), 17-37.
O’Brien, H. L. (2010). The influence of hedonic and utilitarian motivations on user engagement: The case of online shopping experiences. Interacting with Computers, 22(5), 344-352.
Olsen, J. E., Thompson, K. J., & Clarke, T. (2003). Consumer self-confidence in wine purchases. International Journal of Wine Marketing, 15(3), 40-51.
Olson, J. C., & Jacoby, J. (1972). Cue utilization in the quality perception process. Advances in Consumer Research,, 3(1), 167-179.
Orth, U. R., Lockshin, L., & d'Hauteville, F. (2007). The global wine business as a research field. International Journal of Wine Business Research, 19(1), 5-13.
Palmer, J. (2001). Bacchus’ Revenge (Vol. 27).
Paradis, C., & Eeg-Olofsson, M. (2013). Describing sensory experience: The genre of wine reviews. Metaphor and Symbol, 28(1), 22-40.
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., & Kim, S. (2009). 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. (2009). 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 online consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148.
Pornpitakpan, C. (2004). The persuasiveness of source credibility: A critical review of five decades' evidence. Journal of Applied Social Psychology, 34(2), 243-281.
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.
Qualman, E. (2010). Socialnomics: How Social Media Transforms the Way We Live and Do Business: John Wiley & Sons, Hoboken.
Rahman, M. M. (2013). Barriers to m-commerce adoption in developing countries–a qualitative study among the stakeholders of Bangladesh. The International Technology Management Review, 3(2), 80-91.
Rogers, E. M. (1995). Diffusion of innovations: Modifications of a model for telecommunications Die Diffusion von Innovationen in der Telekommunikation (pp. 25-38): Springer.
Schmitz, J., & Fulk, J. (1991). Organizational colleagues, media richness, and electronic mail: A test of the social influence model of technology use. Communication Research, 18(4), 487-523.
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.
Senecal, S., & Nantel, J. (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80(2), 159-169.
Sher, P. J., & Lee, S.-H. (2009). Consumer skepticism and online reviews: An elaboration likelihood model perspective. Social Behavior and Personality: An International Journal, 37(1), 137-143.
Silverstein, M. (2006). Old wine, new ethnographic lexicography. Annual Review of Anthropology, 35(0), 481-496.
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.
Spence, M. (1973). Job market signaling. The quarterly journal of Economics, 87(3), 355-374.
Stern, B. B., Royne, M. B., Stafford, T. F., & Bienstock, C. C. (2008). Consumer acceptance of online auctions: An extension and revision of the tam. Psychology & Marketing, 25(7), 619-636.
Storchmann, K. (2011). Wine economics: emergence, developments, topics. Agrekon, 50(3), 1-28.
Sujan, M. (1985). Consumer knowledge: Effects on evaluation strategies mediating consumer judgments. journal of Consumer Research, 12(1), 31-46.
Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. Digital media, youth, and credibility, 0(0), 73-100.
Sundar, S. S., & Nass, C. (2001). Conceptualizing sources in online news. Journal of Communication, 51(1), 52-72.
Tan, K. W., Swee, D., Lim, C., Detenber, B. H., & Alsagoff, L. (2007). The impact of language variety and expertise on perceptions of online political discussions. Journal of Computer‐Mediated Communication, 13(1), 76-99.
Thach, L. (2009). Wine 2.0—the next phase of wine marketing? Exploring us winery adoption of wine 2.0 components. Journal of Wine Research, 20(2), 143-157.
Thomas, A., & Pickering, G. (2003). The importance of wine label information. International Journal of Wine Marketing, 15(2), 58-74.
Tiwari, R., Buse, S., & Herstatt, C. (2006). From electronic to mobile commerce: Opportunities through technology convergence for business services. Asia Pacific Tech Monitor, 23(5), 38-45.
Tong, S. T., Van Der Heide, B., Langwell, L., & Walther, J. B. (2008). Too much of a good thing? The relationship between number of friends and interpersonal impressions on facebook. Journal of Computer‐Mediated Communication, 13(3), 531-549.
Tseng, S., & Fogg, B. (1999). Credibility and computing technology. Communications of the ACM, 42(5), 39-44.
Tsu Wei, T., Marthandan, G., Yee-Loong Chong, A., Ooi, K.-B., & Arumugam, S. (2009). What drives malaysian m-commerce adoption? An empirical analysis. Industrial Management & Data Systems, 109(3), 370-388.
Utz, S. (2010). Show me your friends and I will tell you what type of person you are: How one's profile, number of friends, and type of friends influence impression formation on social network sites. Journal of Computer‐Mediated Communication, 15(2), 314-335.
Van Der Heide, B., Johnson, B. K., & Vang, M. H. (2013). The effects of product photographs and reputation systems on consumer behavior and product cost on eBay. Computers in Human Behavior, 29(3), 570-576.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Walther, J. B. (1992). Interpersonal effects in computer-mediated interaction a relational perspective. Communication Research, 19(1), 52-90.
Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computer-Mediated Communication and Relationships.
Walther, J. B., Van Der Heide, B., Kim, S. Y., Westerman, D., & Tong, S. T. (2008). The role of friends’ appearance and behavior on evaluations of individuals on facebook: Are we known by the company we keep? Human Communication Research, 34(1), 28-49.
Wang, H.-Y., Liao, C., & Yang, L.-H. (2013). What affects mobile application use? The roles of consumption values. International Journal of Marketing Studies, 5(2), 11.
Westerman, D., Spence, P. R., & Van Der Heide, B. (2012). A social network as information: The effect of system generated reports of connectedness on credibility on twitter. Computers in Human Behavior, 28(1), 199-206.
Wilson, J. (2006). 3G to web 2.0? Can mobile telephony become architecture of participation? Convergence: The International Journal of Research into New Media Technologies, 12(2), 229-242.
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, 23(4), 448-472.
Xu, G., & Gutiérrez, J. A. (2007). An exploratory study of “killer applications” and critical success factors in m-commerce. Journal of Electronic Commerce in Organizations, 4(3), 63-79.
Ye, Q., Law, R., & Gu, B. (2009). The impact of online user reviews on hotel room sales. International Journal of Hospitality Management, 28(1), 180-182.
Yim, C. K., Chan, K. W., & Lam, S. S. (2012). Do customers and employees enjoy service participation? Synergistic effects of self-and other-efficacy. Journal of Marketing, 76(6), 121-140.
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). Research commentary-the new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 21(4), 724-735.
Zhou, T., Li, H., & Liu, Y. (2010). The effect of flow experience on mobile SNS users' loyalty. Industrial Management & Data Systems, 110(6), 930-946.
Zhou, T., & Lu, Y. (2011). The effect of interactivity on the flow experience of mobile commerce user. International Journal of Mobile Communications, 9(3), 225-242.
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.