Agnew, J. R., & Szykman, L. R. (2005). Asset allocation and informtion overload, the influence of information display, asset choice, and investor experience. Journal of Behavioral Finance, 6(2), 57–70.
Anuwichanont, J., & Rajabhat, S. D. (2011). The impact of price perception on customer loyalty in the airline context. Journal of Business & Economics Research, 9(9), 37–50.
Bae, S., & Lee, T. (2011). Product type and consumers’ perception of online consumer reviews. Electronic Markets, 21(4), 255–266.
Bart, Y., Shankar, V., Sultan, F., & Urban, G. L. (2005). Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing, 69(4), 133–152.
Berger, J. (2014). Word of mouth and interpersonal communication: A review and directions for future research. Journal of Consumer Psychology, 24(4), 586–607.
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012). Evaluating online labor markets for experimental research: Amazon. com's mechanical Turk. Political Analysis, 20(3), 351–368.
Bickart, B., & Schindler, R. M. (2001). Internet forums as influential sources of consumer information. Journal of Interactive Marketing, 15(3), 31–40.
Brenner, S. (1999). On the public intimacy of the new order: Images of women in the popular Indonesian print media. Indonesia, (67), 13–37.
Broilo, P. L., Espartel, L. B., & Basso, K. (2016). Pre-purchase information search: Too many sources to choose. Journal of Research in Interactive Marketing, 10(3), 193–211.
Casler, K., Bickel, L., & Hackett, E. (2013). Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing. Computers in Human Behavior, 29(6), 2156–2160.
Chen, J., & Dibb, S. (2010). Consumer trust in the online retail context: Exploring the antecedents and consequences. Psychology & Marketing, 27(4), 323–346.
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.
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.
Childers, T. L., & Houston, M. J. (1984). Conditions for a picture-superiority effect on consumer memory. Journal of Consumer Research, 11(2), 643–654.
Chu, R. K., & Choi, T. (2000). An importance-performance analysis of hotel selection factors in the Hong Kong hotel industry: A comparison of business and leisure travellers. Tourism Management, 21(4), 363–377.
Chua, A. Y., & Banerjee, S. (2015). Analyzing users’ trust for online health rumors. Paper presented at the International Conference on Asian Digital Libraries.
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554–571.
Daft, R. L., Lengel, R. H., & Trevino, L. K. (1987). Message equivocality, media selection, and manager performance: Implications for information systems. MIS Quarterly, 11, 355–366.
Darby, M. R., & Karni, E. (1973). Free competition and the optimal amount of fraud. The Journal of Law and Economics, 16(1), 67–88.
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.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60–95.
Dennis, A. R., & Valacich, J. S. (1999). Rethinking media richness: Towards a theory of media synchronicity. Paper presented at the systems sciences, 1999. HICSS-32. Proceedings of the 32nd annual Hawaii international conference on.
Edmunds, A., & Morris, A. (2000). The problem of information overload in business organisations: A review of the literature. International Journal of Information Management, 20(1), 17–28.
Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The Information Society, 20(5), 325–344.
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 BusinessManagement, 10(3), 175–186.
Fauconnier, G., & Turner, M. (1996). Blending as a central process of grammar. Conceptual Structure, Discourse, and Language, 113, 130.
Fazio, R. H. (2001). On the automatic activation of associated evaluations: An overview. Cognition & Emotion, 15(2), 115–141.
Frenzen, J., & Nakamoto, K. (1993). Structure, cooperation, and the flow of market information. Journal of Consumer Research, 20(3), 360–375.
Furner, C. P., & Zinko, R. (2015). The influence of information overload on the development of trust and purchase intention based on online product reviews in a mobile vs. web environment: An empirical investigation. Electronic Markets, 1–14.
Furner, C. P., & Zinko, R. (2017). The influence of information overload on the development of trust and purchase intention based on online product reviews in a mobile vs. web environment: An empirical investigation. Electronic Markets, 27(3), 211–224.
Furner, C. P., & Zinko, R. (2018). Willingness to pay and disposition toward paying for apps: The influence of application reviews. International Journal of E-Services and Mobile Applications (IJESMA), 10(1), 13–33.
Furner, C. P., Racherla, P., & Zhu, Z. (2012). Uncertinty, trust and purchase intention based on online product reviews: An introduction to a multinational study. International Journal of Networking and Virtual Organizations, 11(3–4), 260–276.
Furner, C. P., Zinko, R., & Zhu, Z. (2016). Electronic word-of-mouth and information overload in an experiential service industry. Journal of Service Theory and Practice, 26(6), 788–810.
Gawronski, B., & Bodenhausen, G. V. (2006). Associative and propositional processes in evaluation: An integrative review of implicit and explicit attitude change. Psychological Bulletin, 132(5), 692–705.
Gefen, D., & Straub, D. W. (2004). Consumer trust in B2C e-commerce and the importance of social presence: Experiments in e-products and e-services. Omega, 32(6), 407–424.
Gerrig, R. J., Zimbardo, P. G., Campbell, A. J., Cumming, S. R., & Wilkes, F. J. (2011). Psychology and life. Boston: Pearson Higher Education AU.
Giordano, G., & Furner, C. P. (2009). Individual determinants of media choice for deception. 12 (1), 30-51. Journal of Information Technology Management, 12(1), 30–51.
Grabe, S., Ward, L. M., & Hyde, J. S. (2008). The role of the media in body image concerns among women: A meta-analysis of experimental and correlational studies. Psychological Bulletin, 134(3), 460–474.
Hassanein, K., Head, M., & Ju, C. (2009). A cross-cultural comparison of the impact of social presence on website trust, usefulness and enjoyment. International Journal of Electronic Business, 7(6), 625.
Hauser, D. J., & Schwarz, N. (2016). Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants. Behavior Research Methods, 48(1), 400–407.
Hiltz, S. R., & Turoff, M. (1985). Structuring computer-mediated communication systems to avoid information overload. Communications of the ACM, 28(7), 680–689.
Hoffman, E., & Daugherty, T. (2013). Is a picture always worth a thousand words? Attention to structural elements of ewom for consumer brands within social media. Advances in Consumer Research Volume, 41(41), 326–331.
Hopkins, R. L. (1995). Countering information overload: The role of the librarian. The Reference Librarian, 23(49–50), 305–333.
Hui, K. L., Teo, H. H., & Lee, S.-Y. T. (2007). The value of privacy assurance: An exploratory field experiment. MIS Quarterly, 31(1), 19–33.
Hunt, S. D., & Vitell, S. (1986). A general theory of marketing ethics. Journal of Macromarketing, 6(1), 5–16.
Jacoby, J., Speller, D. E., & Berning, C. K. (1974). Brand choice behavior as a function of information load: Replication and extension. Journal of Consumer Research, 1(1), 33–42.
Jarvenpaa, S. L. (1989). The effect of task demands and graphical format on information processing strategies. Management Science, 35(3), 285–303.
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.
Jones, Q., Ravid, G., & Rafaeli, S. (2004). Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information Systems Research, 15(2), 194–210.
Keith, M., Babb, J. S., Furner, C. P., Abdullat, A., & Lowrey, P. (2016). Limited information and quick decisions: Consumer privacy Calculus for Mobile applications. AIS Transactions on Human-Computer Interaction, 8(3), 88–130.
Keller, K. L., & Staelin, R. (1987). Effects of quality and quantity of information on decision effectiveness. Journal of Consumer Research, 14(2), 200–213.
Khammash, M., & Griffiths, G. H. (2011). ‘Arrivederci CIAO. com, Buongiorno Bing. com’—Electronic word-of-mouth (eWOM), antecedences and consequences. International Journal of Information Management, 31(1), 82–87.
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.
Laran, J., Janiszewski, C., & Salerno, A. (2016). Exploring the differences between conscious and unconscious goal pursuit. Journal of Marketing Research, 53(3), 442–458.
Lee, J., Lee, J. N., & Shin, H. (2011). The long tail or the short tail: The category-specific impact of eWOM on sales distribution. Decision Support Systems, 51(3), 466–479.
Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61.
Lipshitz, R., & Strauss, O. (1997). Coping with uncertainty: A naturalistic decision-making analysis. Organizational Behavior and Human Decision Processes, 69(2), 149–163.
Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47, 140–151.
Liu, Y., Ferris, G. R., Zinko, R., Perrewé, P. L., Weitz, B., & Xu, J. (2007). Dispositional antecedents and outcomes of political skill in organizations: A four-study investigation with convergence. Journal of Vocational Behavior, 71(1), 146–165.
Liu, S.-H., Liao, H. L., & Chen, C.-H. (2013). Marketing for remote area using an experience-based tourism website destination. International Journal of Services Technology and Management, 19(4–6), 294–303.
Luo, L., & Toubia, O. (2015). Improving online idea generation platforms and customizing the task structure on the basis of consumers' domain-specific knowledge. Journal of Marketing, 79(5), 100–114.
Lurie, N. H. (2004). Decision making in information-rich environments: The role of information structure. Journal of Consumer Research, 30(4), 473–486.
Markin, R. J., & Narayana, C. L. (1976). Behavior control: Are consumers beyond freedom and dignity? ACR North American Advances, 3, 222–228.
Mauri, A. G., & Minazzi, R. (2013). Web reviews influence on expectations and purchasing intentions of hotel potential customers. International Journal of Hospitality Management, 34, 99–107.
Merton, R. K. (1968). The Matthew effect in science: The reward and communication systems of science are considered. Science, 159(3810), 56–63.
Moriarty, S. E. (1987). A content analysis of visuals used in print media advertising. Journalism Quarterly, 64(2–3), 550–554.
Mudambi, S. M., & Schuff, D. (2010). What makes a helpful review? A study of customer reviews on Amazon. com. MIS Quarterly, 34, 185–200.
Nelson, P. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), 311–329.
Nelson, P. (1974). Advertising as information. Journal of Political Economy, 82(4), 729–754.
O'Connor, P. (2010). Managing a hotel's image on TripAdvisor. Journal of Hospitality Marketing & Management, 19(7), 754–772.
Olson, M. A., & Fazio, R. H. (2001). Implicit attitude formation through classical conditioning. Psychological Science, 12(5), 413–417.
Orcutt, J. D., & Turner, J. B. (1993). Shocking numbers and graphic accounts: Quantified images of drug problems in the print media. Social Problems, 40(2), 190–206.
Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on amazon mechanical turk. Judgment and Decision making, 5(5), 411–419.
Park, J., Lennon, S. J., & Stoel, L. (2005). On-line product presentation: Effects on mood, perceived risk, and purchase intention. Psychology & Marketing, 22(9), 695–719.
Potts, C. (1995). Using schematic scenarios to understand user needs. Paper presented at the proceedings of the 1st conference on designing interactive systems: Processes, practices, methods, & techniques.
Roggeveen, A. L., Grewal, D., Townsend, C., & Krishnan, R. (2015). The impact of dynamic presentation format on consumer preferences for hedonic products and services. Journal of Marketing, 79(6), 34–49.
Scott, L. M. (1994). Images in advertising: The need for a theory of visual rhetoric. Journal of Consumer Research, 21(2), 252–273.
Singh, S. N., Lessig, V. P., Kim, D., Gupta, R., & Hocutt, M. A. (2000). Does your ad have too many pictures? Journal of Advertising Research, 40(1–2), 11–27.
Skow, L. M., & Dionisopoulos, G. N. (1997). A struggle to contextualize photographic images: American print media and the “burning monk”. Communication Quarterly, 45(4), 393–409.
Skyrius, R. (2014). The Split of information needs support between the users and information technology. Paper presented at the DSS.
Sotiriadis, M. D., & Van Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: The use of twitter by tourists. Electronic Commerce Research, 13(1), 103–124.
Statista. (2017). Online vs. in-store shopping preferences of consumers in the United States as of February 2017, By product category. Key Figures in Electronic Commerce Retrieved from https://www.statista.com/statistics/311459/us-online-in-person-shopping-preferences-product-category/. Accessed Aug 2018.
Steffes, E. M., & Burgee, L. E. (2009). Social ties and online word of mouth. Internet Research, 19(1), 42–59.
Stern, B. B. (1990). Other-speak: Classical allegory and contemporary advertising. Journal of Advertising, 19(3), 14–26.
Tabachnick, B. G., Fidell, L. S., & Osterlind, S. J. (2001). Using multivariate statistics. New York: Harper & Row.
Till, B. D., & Busler, M. (2000). The match-up hypothesis: Physical attractiveness, expertise, and the role of fit on brand attitude, purchase intent and brand beliefs. Journal of Advertising, 29(3), 1–13.
Unnava, H. R., & Burnkrant, R. E. (1991). An imagery-processing view of the role of pictures in print advertisements. Journal of Marketing Research, 28(2), 226–231.
Wan, Y. (2015). The Matthew effect in social commerce. Electronic Markets, 25(4), 313–324.
Wan, Y., Nakayama, M., & Sutcliffe, N. (2012). The impact of age and shopping experiences on the classification of search, experience, and credence goods in online shopping. Information Systems and e-Business Management, 10(1), 135–148.
Wang, K., & Lin, C. L. (2012). The adoption of mobile value-added services: Investigating the influence of IS quality and perceived playfulness. Managing Service Quality, 22(2), 184–208.
Weick, K. E. (1995). Sensemaking in organizations. London: Sage.
Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2014). Does teleworking negatively influence IT professionals?: an empirical analysis of IT personnel's telework-enabled stress. Paper presented at the proceedings of the 52nd ACM conference on computers and people research.
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.
Yoon, S., & Kim, H. C. (2016). Keeping the American dream alive: The interactive effect of perceived economic mobility and materialism on impulsive spending. Journal of Marketing Research, 52(5), 759–772.