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Articles

Measuring a Model on Credibility Evaluation of Scientific Websites: Exploring Relationships and Priorities

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References

  • Aladhadh, S., Zhang, X., & Sanderson, M. (2019). Location impact on source and linguistic features for information credibility of socialmedia. Online Information Review, 43(1), 89–112. doi:10.1108/OIR-03-2018-0087
  • Anderson, E., & Fornell, C. (2000). Foundations of the American Customer Satisfaction Index. Total Quality Management, 11(7), 869–883. doi:10.1080/09544120050135425
  • Bèzes, C. (2014). Definition and psychometric validation of a measurement index common to website and store images. Journal of Business Research, 67(12), 2559–2578. doi:10.1016/j.jbusres.2014.03.016
  • Brooke, J. (1996). SUS: A ‘quick and dirty’ usability scale. In P. W. Jordan, B. Thomas, A. Weerdmeester, & I. I. McClelland (Eds.), Usability evaluation in industry (pp. 189–194). London: Taylor & Francis.
  • Burgess, L., & Cooper, J. (2000, November). Extending the viability of MICA (model of internet commerce adoption) as a metric for explaining the process of business adoption of internet commerce. In International Conference on Telecommunications and Electronic Commerce, Dallas, TX, 16–19.
  • Cebi, S. (2013). A quality evaluation model for the design quality of online shopping websites. Electronic Commerce Research and Applications, 12(2), 124–135. doi:10.1016/j.elerap.2012.12.001
  • Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Macoulides (Ed.), Modern methods for business research (pp. 295–336). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Chiou, W., Lin, C., & Perng, C. (2010). A strategic framework for website evaluation based on a review of the literature from 1995–2006. Information & Management, 47(5–6), 282–290. doi:10.1016/j.im.2010.06.002
  • Chu, S. K. W., Huang, H., Wong, W. N. M., Ginneken, W. F., Wu, K. M., & Hung, M. Y. (2018). Quality and clarity of health information on Q&A sites. Library & Information Science Research, 40(3–4), 237–244. doi:10.1016/j.lisr.2018.09.005
  • Dickinger, A., & Stangl, B. (2013). Website performance and behavioral consequences: A formative measurement approach. Journal of Business Research, 66(6), 771–777. doi:10.1016/j.jbusres.2011.09.017
  • Elling, S. K., Lentz, L. R., de Jong, M. D. T., & van den Bergh, H. (2012). Measuring the quality of governmental websites in a controlled versus an online setting with the "Website Evaluation Questionnaire. Government Information Quarterly, 29(3), 383–393. doi:10.1016/j.giq.2011.11.004
  • Fernández-Cavia, J., Rovira, C., Díaz-Luque, P., & Cavaller, V. (2014). Web quality index (WQI) for official tourist destination websites: Proposal for an assessment system. Tourism Management Perspectives, 9, 5–13. doi:10.1016/j.tmp.2013.10.003
  • 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. doi:10.1016/j.chb.2013.02.001
  • Flanagin, A. J., & Metzger, M. J. (2001). Internet use in the contemporary media environment. Human Communication Research, 27(1), 153–181. doi:10.1093/hcr/27.1.153
  • Flanagin, A. J., & Metzger, M. J. (2011). From encyclopaedia britannica to wikipedia, information. Communication & Society, 14(3), 355–374.
  • Flanagin, A. J., Winter, S., & Metzger, M. J. (2020). Making sense of credibility in complex information environments: The role of message sidedness, information source, and thinking styles in credibility evaluation online. Information, Communication & Society, 23(7), 1038–1056. doi:10.1080/1369118X.2018.1547411
  • Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440–452. doi:10.1177/002224378201900406
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi:10.1177/002224378101800104
  • Freeman, K. S., & Spyridakis, J. H. (2004). An examination of factors that affect the credibility of online health information. Technical Communication, 51(2), 239–263.
  • Freeman, K. S., & Spyridakis, J. H. (2009). Effect of contact information on the credibility of online health information. IEEE Transactions on Professional Communication, 52(2), 152–166. doi:10.1109/TPC.2009.2017992
  • Han, H., Nakawatase, H., & Oyama, K. (2014). Evaluating credibility of interest reflection on Twitter. International Journal of Web Information Systems, 10(4), 343–362. doi:10.1108/IJWIS-04-2014-0019
  • Hansen, R., & Bjørn-Andersen, N. (2013). Cube assessment framework for B2C websites applied in a longitudinal study in the luxury fashion industry. Journal of Theoretical and Applied Electronic Commerce Research, 8(2), 3–20. doi:10.4067/S0718-18762013000200002
  • Hasley, J. P., & Gregg, D. G. (2010). An exploratory study of website information content. Journal of Theoretical and Applied Electronic Commerce Research, 5(3), 27–38. doi:10.4067/S0718-18762010000300004
  • Hovland, C. I., Janis, I. L., & Kelley, H. H. (1953). Communication and Persuasion. New Haven, CT: Yale University Press.
  • Hovland, C., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15(4), 635–650. doi:10.1086/266350
  • Jacobs, W., Amuta, A. O., & Jeon, K. C. (2017). Health information seeking in the digital age: An analysis of health information-seeking behavior among US adults. Cogent Social Sciences, 3(1), 1302785–1302711. doi:10.1080/23311886.2017.1302785
  • Jung, E. H., Walsh-Childers, K., & Kim, H. (2016). Factors influencing the perceived credibility of diet-nutrition information web sites. Computers in Human Behavior, 58, 37–47. doi:10.1016/j.chb.2015.11.044
  • Keshavarz, H., Esmaeili Givi, M., & Norouzi, Y. (2020). Credibility evaluation of scientific information on websites: Findings of an exploratory model. Journal of Librarianship and Information Science, 52(4), 1086–1101. Epub ahead of print: doi:10.1177/0961000620903103
  • Kirakowski, J., Claridge, N., & Whitehand, R. (1998). Human-centered measures of success in Web site design. In Proceedings of the fourth Conference on Human Factors & the Web (pp. 1–9). Baskerville, NJ.
  • Lankes, R. D. (2008). Credibility on the internet: Shifting from authority to reliability. Journal of Documentation, 64(5), 667–686. doi:10.1108/00220410810899709
  • Lin, D., Zhou, Z., & Guo, X. (2009). A study of the website performance of travel agencies based on the EMICA model. Journal of Service Science and Management, 2(3), 181–185. doi:10.4236/jssm.2009.23021
  • Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007). WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51–87. doi:10.2753/JEC1086-4415110302
  • López, I., & Ruiz, S. (2011). Explaining website effectiveness: The hedonic–utilitarian dual mediation hypothesis. Electronic Commerce Research and Applications, 10(1), 49–58. doi:10.1016/j.elerap.2010.04.003
  • Lovett, J., Gordon, C., Patton, S., & Chen, C. X. (2019). Online information on dysmenorrhoea: An evaluation of readability, credibility, quality and usability. Journal of Clinical Nursing, 28(19–20), 3590–3598. doi:10.1111/jocn.14954
  • Lucassen, T., Muilwijk, R., Noordzij, M. L., & Schraagen, J. L. (2013). Topic familiarity and information skills in online credibility evaluation. Journal of the American Society for Information Science and Technology, 64(2), 254–264. doi:10.1002/asi.22743
  • Metcalfe, B. (1995). Metcalfe's law: A network becomes more valuable as it reaches more users. InfoWorld, 2, 53.
  • Metzger, M. J. (2007). Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research. Journal of the American Society for Information Science and Technology, 58(13), 2078–2091. doi:10.1002/asi.20672
  • Metzger, M. J., & Flanagin, A. J. (2013). Credibility and trust of information in online environments: The use of cognitive heuristics. Journal of Pragmatics, 59(B), 210–220. doi:10.1016/j.pragma.2013.07.012
  • Metzger, M. J., & Flanagin, A. J. (2015). Psychological approaches to credibility assessment online. In S. Sundar (Ed.), The handbook of the psychology of communication technology (pp. 445–466). Hoboken, NJ: John Wiley & Sons, Inc.
  • Metzger, M. J., Flanagin, A. J., & Zwarun, L. (2003). College student Web use, perceptions of information credibility, and verification behavior. Computers & Education, 41(3), 271–290. doi:10.1016/S0360-1315(03)00049-6
  • Muylle, S., Moenaert, R., & Despontin, M. (2004). The conceptualization and empirical validation of web site user satisfaction. Information & Management, 41(5), 543–560. doi:10.1016/S0378-7206(03)00089-2
  • Petre, M., Minocha, S., & Roberts, D. (2006). Usability beyond the website: An empirically grounded e-commerce evaluation instrument for the total customer experience. Behaviour & Information Technology, 25 (2), 189–203. doi:10.1080/01449290500331198
  • Robins, D., & Holmes, J. (2008). Aesthetics and credibility in web site design. Information Processing & Management, 44(1), 386–399. doi:10.1016/j.ipm.2007.02.003
  • Sbaffi, L., & Rowley, J. (2017). Trust and credibility in web-based health information: A review and agenda for future research. Journal of Medical Internet Research, 19(6), e218. doi:10.2196/jmir.7579
  • Shen, C., Kasra, M., Pan, W., Bassett, G. A., Malloch, Y., & O’Brien, J. F. (2019). Fake images: The effects of source, intermediary, and digital media literacy on contextual assessment of image credibility online. New Media & Society, 21(2), 438–463. doi:10.1177/1461444818799526
  • Sohn, D., & Choi, S. (2019). Social embeddedness of persuasion: Effects of cognitive social structures on information credibility assessment and sharing in social media. International Journal of Advertising, 38(6), 824–844. doi:10.1080/02650487.2018.1536507
  • Stepchenkova, S., Tang, L., Jang, S., Kirilenko, A. P., & Morrison, A. M. (2010). Benchmarking CVB website performance: Spatial and structural patterns. Tourism Management, 31(5), 611–620. doi:10.1016/j.tourman.2009.06.015
  • Sundar, S. S. (2008). The MAIN model: A heuristic approach to understanding technology effects on credibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 73–100).Cambridge, MA: MIT Press.
  • Tenenhaus, M., Amato, S., & Vinzi, E. V. (2004). A global goodness-of-fit index for PLS structural equation modeling. In Proceedings of the XLII SIS Scientific Meeting (pp. 739–742). Padova: CLEUP.
  • Tsai, W., Chou, W., & Leu, J. (2011). An effectiveness evaluation model for the web-based marketing of the airline industry. Expert Systems with Applications, 38(12), 15499–15516.
  • Van Schaik, P., & Ling, J. (2005). Five psychometric scales for online measurement of the quality of human-computer interaction in Web sites. International Journal of Human-Computer Interaction, 18(3), 309–322. doi:10.1207/s15327590ijhc1803_4
  • Vidrio-Baron, S. B., Luse, A. W., & Townsend, A. M. (2009). Development of a culturally-oriented website usability evaluation. In Proceedings of the Fifteenth Americas Conference on Information Systems (pp. 1–7). San Francisco, TX.
  • Wang, X., & Liu, J. (2007). Usability evaluation of B2C web site. In Proceedings International Conference on Wireless Communications, Networking and Mobile Computing (pp. 3837–3840). Shanghai.
  • Wierzbicki, A. (2018). Web content credibility. Cham: Springer International Publishing.
  • Wold, H. (1966). Estimation of principal components and related models by iterative least squares. In P.R. Krishnaiaah (Ed.), Multivariate analysis (pp. 391–420). New York, NY: Academic Press.
  • Yoo, B., & Donthu, N. (2001). Developing a scale to measure the perceived quality of an internet shopping site (SITEQUAL). Quarterly Journal of Electronic Commerce, 2(1), 31–47.
  • Zha, X., Yang, H., Yan, Y., Liu, K., & Huang, C. (2018). Exploring the effect of social media information quality, source credibility and reputation on informational fit-to-task: Moderating role of focused immersion. Computers in Human Behavior, 79, 227–237. doi:10.1016/j.chb.2017.10.038
  • Zhang, N., & Yuan, Q. (2020). The means-end cognitions of perceived information quality in academic social networking sites. Journal of Librarianship and Information Science, 52(3), 781–791. Epub ahead of print . doi:10.1177/0961000619871612

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