Trust Perception and Information Use for Informational Website: Structural Equation Modelling Approach
Abstract
Trust is described in various contexts, such as e-commerce, e-government, reviews, and online health information. Credibility and information quality are fundamental to building trust in those contexts. This study aimed to develop trust perception (TP) and information use (IU) indicators in an information evaluation context. Indicators were developed through three processes: searching, grouping, and construction. Relevant indicators were grouped based on similarities to construct statements, which were validated for face and content validity by three experts. The validated TP and IU were then tested using the partial least squares structural equation modeling (PLS)-SEM. The data used for measurement obtained from 110 participants comprising 55 Indonesian academic librarians and 55 university students. Participants responded to indicator statements after evaluating information from four prepared informational websites. This study yielded five TP indicators and a single IU indicator, where TP significantly predicted IU. The five indicators described TP as make-sense information relevant to needs, provided by trusted authors and providers, and accompanied by accessible author information, provider information, and reference sources. IU was described as the information used for its credibility. The measurement demonstrated distinct participant behaviors. Differences in needs influenced assessments, while author and provider trustworthiness showed no bias toward participant type. Trust perception significantly predicted IU, with moderate model fit and varying predictive strengths across the websites. Tested as reliable, valid, and a significant predictor of IU, TP serves as a tool for examining factors that potentially influence trust in online information.
References
Y.W. Sullivan and D.J. Kim, “Assessing the effects of consumers’ product evaluations and trust on repurchase intention in e-commerce environments,” Int. J. Inf. Manag., vol. 39, pp. 199–219, Apr. 2018, doi: 10.1016/j.ijinfomgt.2017.12.008.
K.J. Fimberg and S. Sousa, “The impact of website design on users’ trust,” in Advances in Creativity, Innovation, Entrepreneurship and Communication of Design, E. Markopoulos, R. Goonetilleke, A. Ho, Y. Luximon, Eds., Cham, Switzerland: Springer, 2020, pp. 267–274, doi: 10.1007/978-3-030-51626-0_34..
T.S. Amosun et al., “Does e-government help shape citizens’ engagement during the COVID-19 crisis? A study of mediational effects of how citizens perceive the government,” Online Inf. Rev., vol. 46, no. 5, pp. 846–866, Aug. 2022, doi: 10.1108/OIR-10-2020-0478.
M. Adnan, M. Ghazali, and N.Z.S. Othman, “E-participation within the context of e-government initiatives: A comprehensive systematic review,” Telematics Inform. Rep., vol. 8, pp. 1-18, Dec. 2022, doi: 10.1016/j.teler.2022.100015.
R. Anaya-Sánchez, S. Molinillo, R. Aguilar-Illescas, and F. Liébana-Cabanillas, “Improving travellers’ trust in restaurant review sites,” Tour. Rev., vol. 74, no. 4, pp. 830–840, Sep. 2019, doi: 10.1108/TR-02-2019-0065.
A.G. Mumuni et al., “Online product review impact: The relative effects of review credibility and review relevance,” J. Internet Commer., vol. 19, no. 2, pp. 153–191, Apr. 2020, doi: 10.1080/15332861.2019.1700740.
J. Mackiewicz and D. Yeats, “Product review users’ perceptions of review quality: The role of credibility, informativeness, and readability,” IEEE Trans. Prof. Commun., vol. 57, no. 4, pp. 309–324, Dec. 2014, doi: 10.1109/TPC.2014.2373891.
S. Lata and A. Kumar, “What determines tourist adoption of hotel websites for online hotel bookings? An empirical analysis by taking e-trust as a mediator,” Int. J. Asian Bus. Inf. Manag., vol. 12, no. 3, pp. 1-17, Jul. 2021, doi: 10.4018/IJABIM.294101.
A. Inthiran, “Trust or do not trust: Evaluation strategies used by online health information consumers in South East Asia,” Inf. Res., vol. 26, no. 1, Mar. 2021, paper 886, doi: 10.47989/IRPAPER886.
M. Khosrowjerdi, “National culture and trust in online health information,” J. Librariansh. Inf. Sci., vol. 52, no. 2, pp. 509–528, Jun. 2020, doi: 10.1177/0961000619836716.
L. Alajramy and A. Taweel, “User perception based trust model of online sources: A case study of misinformation on COVID-19,” in Disinformation in Open Online Media.-MISDOOM 2022, F. Spezzano et al., Eds., Cham, Switzerland: Springer, 2022, pp. 1–15, doi: 10.1007/978-3-031-18253-2_1.
E.K. Hämäläinen, C. Kiili, E. Räikkönen, and M. Marttunen, “Students’ abilities to evaluate the credibility of online texts: The role of internet-specific epistemic justifications,” J. Comput. Assist. Learn., vol. 37, no. 5, pp. 1409–1422, Oct. 2021, doi: 10.1111/jcal.12580.
L. Sbaffi and J. Rowley, “Trust and credibility in web-based health information: A review and agenda for future research,” J. Med. Internet Res., vol. 19, no. 6, pp. 1-17, Jun. 2017, doi: 10.2196/jmir.7579.
L. Vervier, A.C. Valdez, and M. Ziefle, “‘In clarity we trust!’ - An empirical study of factors that affect the credibility of health-related information on websites,” in Information and Communication Technologies for Ageing Well and e-Health – ICT4AWE 2018, P. Bamidis, M. Ziefle, and L. Maciaszek, Eds., Cham, Switzerland: Springer, 2019, pp. 83–107, doi: 10.1007/978-3-030-15736-4_5.
E. Sillence, J. M. Blythe, P. Briggs, and M. Moss, “A revised model of trust in internet-based health information and advice: Cross-sectional questionnaire study,” J. Med. Internet Res., vol. 21, no. 11, pp. 1-14, Nov. 2019, doi: 10.2196/11125.
F. Johnson, J. Rowley, and L. Sbaffi, “Modelling trust formation in health information contexts,” J. Inf. Sci., vol. 41, no. 4, pp. 415–429, Aug. 2015, doi: 10.1177/0165551515577914.
C.L. Corritore, S. Wiedenbeck, B. Kracher, and R.P. Marble, “Online trust and health information websites,” Int. J. Technol. Hum. Interact., vol. 8, no. 4, pp. 92-115, Oct. 2012, doi: 10.4018/jthi.2012100106.
A. Russo, A. Jankowski, S. Beene, and L. Townsend, “Strategic source evaluation: Addressing the container conundrum,” Ref. Services Rev., vol. 47, no. 3, pp. 294–313, Nov. 2019, doi: 10.1108/RSR-04-2019-0024.
Y. Li, M. Yu, and S. Li, “Technology or content: Which factor is more important in people’s evaluation of artificial intelligence news?” Telematics Inform. Rep., vol. 8, pp. 1–7, Dec. 2022, doi: 10.1016/j.teler.2022.100031.
M.T. Thielsch and G. Hirschfeld, “Quick assessment of web content perceptions,” Int. J. Hum. Comput. Interact., vol. 37, no. 1, pp. 68–80, 2021, doi: 10.1080/10447318.2020.1805877.
M.M. Bhuiyan et al., “Designing transparency cues in online news platforms to promote trust: Journalists’ & consumers’ perspectives,” in Proc. ACM Hum.-Comput. Interact., 2021, pp. 1-31, doi: 10.1145/3479539.
A. Kohnen, K. Dawson, and G. Mertens, “Three continua of online credibility strategies used by eighth graders,” TechTrends, vol. 66, no. 4, pp. 643–653, Jul. 2022, doi: 10.1007/s11528-022-00699-9.
S. Pieschl and D. Sivyer, “Secondary students’ epistemic thinking and year as predictors of critical source evaluation of Internet blogs,” Comput. Educ., vol. 160, pp. 1-16, Jan. 2021, doi: 10.1016/j.compedu.2020.104038.
J.F. Hair Jr., G.T.M. Hult, C.M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed. Los Angeles, CA, AS: Sage, 2017.
P.I. Santosa, Metode Penelitian Kuantitatif: Pengembangan Hipotesis dan Pengujiannya menggunakan SmartPLS. Yogyakarta, Indonesia: Andi, 2018.
J.F. Hair, J.J. Risher, M. Sarstedt, and C.M. Ringle, “When to use and how to report the results of PLS-SEM,” Eur. Bus. Rev., vol. 31, no. 1, pp. 2–24, 2019, doi: 10.1108/EBR-11-2018-0203.
C. Leeder, “How college students evaluate and share ‘fake news’ stories,” Libr Inf Sci Res, vol. 41, no. 3, Jul. 2019, doi: 10.1016/j.lisr.2019.100967.
M. Derakhshan, M. Hassanzadeh, and M. Nazari, “Developing information literate librarians: A study of LIS academics pedagogical approaches in the development of information literacy competencies,” J. Acad. Librariansh., vol. 41, no. 6, pp. 777–785, Nov. 2015, doi: 10.1016/j.acalib.2015.08.021.
A.M. Salaz, T. MacGregor, and P. Thomas, “Novice and expert information behavior: An eye tracking study from Qatar,” in Inf. Lit., Key Incl. Soc. - ECIL 2016, Kurbanoğlu S. et al., Ed., Cham, Switzerland: Springer, 2016, pp. 364–372, doi: 10.1007/978-3-319-52162-6.
D. Soper, “A-priori sample size calculator for structural equation models,” Access date: 19-Jun-2023. [Online]. Available: https://www.danielsoper.com/statcalc/calculator.aspx?id=89
D. Cyr, M. Head, E. Lim, and A. Stibe, “Using the elaboration likelihood model to examine online persuasion through website design,” Inf. Manag., vol. 55, no. 7, pp. 807–821, Nov. 2018, doi: 10.1016/j.im.2018.03.009.
E. Silva, J. Green, and C. Walker, “Source evaluation behaviours of first-year university students,” J. Inf. Lit., vol. 12, no. 2, pp. 24–43, Dec. 2018, doi: 10.11645/12.2.2512.
Z. (Jack) Jiang, W. Wang, B.C.Y. Tan, and J. Yu, “The determinants and impacts of aesthetics in users’ first interaction with websites,” J. Manag. Inf. Syst., vol. 33, no. 1, pp. 229–259, Jun. 2016, doi: 10.1080/07421222.2016.1172443.
M.L. McHugh, “Lessons in biostatistics interrater reliability : the kappa statistic,” Biochemica Medica, vol. 22, no. 3, pp. 276–282, 2012, doi: 10.1108/14684520710832315.
U. Proboyekti, P.I. Santosa, and R. Ferdiana, “Measuring trust perception during information evaluation,” in 2022 14th Int. Conf. Inf. Technol. Elect. Eng. (ICITEE), 2022, pp. 91–96. doi: 10.1109/ICITEE56407.2022.9954094.
R. Nilpong and B. Thanasopon, “Factors affecting intention to use of government websites in Thai elder: The Webqual model,” 2020 12th Int. Conf. Inf. Technol. Elect. Eng. (ICITEE), 2020, pp. 146–151, doi: 10.1109/ICITEE49829.2020.9271711.
M. Seckler et al., “Trust and distrust on the web: User experiences and website characteristics,” Comput. Hum. Behav., vol. 45, pp. 39–50, Apr. 2015, doi: 10.1016/j.chb.2014.11.064.
H. Singal and S. Kohli, “Escalation of TRUST analysis in web,” in CF ’15, Proc. 12th ACM Int. Conf. Comput. Frontiers, 2015, pp. 1-6, doi: 10.1145/2742854.2745721.
L.V. Casaló, C. Flavián, and M. Guinalíu, “The role of security, privacy, usability and reputation in the development of online banking,” Online Inf. Rev., vol. 31, no. 5, pp. 583–603, 2007, doi: 10.1108/14684520710832315.
Y.-S. Chang, Y. Zhang, and J. Gwizdka, “The effects of information source and eHealth literacy on consumer health information credibility evaluation behavior,” Comput Hum. Behav, vol. 115, pp. 1-12, Feb. 2021, doi: 10.1016/j.chb.2020.106629.
D. Cyr, “Website design, trust and culture: An eight country investigation,” Electron. Commer. Res. Appl., vol. 12, no. 6, pp. 373–385, Nov.-Dec. 2013, doi: 10.1016/j.elerap.2013.03.007.
T. Lee, B.K. Lee, and S. Lee-Geiller, “The effects of information literacy on trust in government websites: Evidence from an online experiment,” Int. J. Inf. Manag., vol. 52, pp. 1-13, Jun. 2020, doi: 10.1016/j.ijinfomgt.2020.102098.
B. Ganguly, S.B. Dash, D. Cyr, and M. Head, “The effects of website design on purchase intention in online shopping: The mediating role of trust and the moderating role of culture,” Int. J. Electron. Bus., vol. 8, no. 4-5, pp. 302–330, Sep. 2010, doi: 10.1504/IJEB.2010.035289.
T.D. Wilson, “Models in information behaviour research,” J. Documentation, vol. 55, no. 3, pp. 249-270, Jun. 1999, doi: 10.1108/EUM0000000007145.
W. Al Motawah, B. Sen, and P. Willett, “Information use, information needs, and information behavior of graduate students at Kuwait University,” MELA Notes, no. 93, pp. 51–87, 2020.
E. Forzani, J. Corrigan, and C. Kiili, “What does more and less effective internet evaluation entail?: Investigating readers’ credibility judgments across content, source, and context,” Comput Hum. Behav., vol. 135, no. C, Oct. 2022, doi: 10.1016/j.chb.2022.107359.
C. Kiili et al., “Adolescents’ credibility justifications when evaluating online texts,” Educ. Inf. Technol., vol. 27, no. 6, pp. 7421–7450, Jul. 2022, doi: 10.1007/s10639-022-10907-x.
E. Hartono and C.W. Holsapple, “Website visual design qualities: A threefold framework,” ACM Trans. Manag. Inf. Syst., vol. 10, no. 1, pp. 1–21, Mar. 2019, doi: 10.1145/3309708.
I.K. Mensah, C. Luo, and E. Abu-Shanab, “Citizen use of e-government services websites: A proposed e-government adoption recommendation model (EGARM),” Int. J. Electron. Gov. Res., vol. 17, no. 2, pp. 19–42, Apr.-Jun. 2021, doi: 10.4018/IJEGR.2021040102.
L. Alzahrani, W. Al-Karaghouli, and V. Weerakkody, “Investigating the impact of citizens’ trust toward the successful adoption of e-government: A multigroup analysis of gender, age, and internet experience,” Inf. Syst. Manag., vol. 35, no. 2, pp. 124–146, Mar. 2018, doi: 10.1080/10580530.2018.1440730.
M. Aparicio, C.J. Costa, and R. Moises, “Gamification and reputation: Key determinants of e-commerce usage and repurchase intention,” Heliyon, vol. 7, no. 3, pp. 1–14, Mar. 2021, doi: 10.1016/j.heliyon.2021.e06383.
S.A. Brown, V. Venkatesh, and S. Goyal, “Expectation confirmation in information systems research: A test of six competing models,” MIS Quart. vol. 38, no. 3, pp. 729–756, Sep. 2014.
M. Shayganmehr, A. Kumar, J.A. Garza-Reyes, and E.K. Zavadskas, “A framework for assessing trust in e-government services under uncertain environment,” Inf. Technol. People, vol. 36, no. 6, pp. 2718-2755, Nov. 2023, doi: 10.1108/ITP-01-2021-0096.
A.S. Lo and S.S. Yao, “What makes hotel online reviews credible? An investigation of the roles of reviewer expertise, review rating consistency and review valence,” Int. J. Contemp. Hosp. Manag., vol. 31, no. 1, pp. 41–60, Jan. 2019, doi: 10.1108/IJCHM-10-2017-0671.
M.N. Zolotov, T. Oliveira, and S. Casteleyn, “E-participation adoption models research in the last 17 years: A weight and meta-analytical review,” Comput Hum. Behav., vol. 81, pp. 350–365, Apr. 2018, doi: 10.1016/j.chb.2017.12.031.
S.M. Kim and M.J. Hannafin, “The effects of source representation and goal instructions on college students’ information evaluation behavior change,” Comput Hum. Behav., vol. 60, pp. 384–397, Jul. 2016, doi: 10.1016/j.chb.2016.02.044.
B.S. Reddy, M. Krishnamurthy, and A.Y. Asundi, “Information use, user, user needs and seeking behaviour: A review,” DESIDOC J. Libr. Inf. Technol., vol. 38, no. 2, pp. 82–87, Mar. 2018, doi: 10.14429/djlit.38.2.12098.
Y. Sun, Y. Zhang, J. Gwizdka, and C.B. Trace, “Consumer evaluation of the quality of online health information: Systematic literature review of relevant criteria and indicators,” J. Med. Internet Res., vol. 21, no. 5, pp. 1–22, May 2019, doi: 10.2196/12522.
J. Jin, X. Yan, Y. Li, and Y. Li, “How users adopt healthcare information: An empirical study of an online Q&A community,” Int. J. Med. Inform., vol. 86, pp. 91–103, Feb. 2016, doi: 10.1016/j.ijmedinf.2015.11.002.
F.D. Davis, R.P. Bagozzi, and P.R. Warshaw, “Extrinsic and intrinsic motivation to use computers in the workplace,” J. Appl. Soc. Psychol., vol. 22, no. 14, pp. 1111–1132, Jul. 1992, doi: 10.1111/j.1559-1816.1992.tb00945.x.
S. Krug, Don’t Make Me Think, Revisited: A Common Sense Approach to Web Usability. Hoboken, NJ, USA: New Riders, 2014.
S. Banerjee and A.Y.K. Chua, “Trust in online hotel reviews across review polarity and hotel category,” Comput Hum. Behav., vol. 90, pp. 265–275, Jan. 2019, doi: 10.1016/j.chb.2018.09.010.
M.T. Thielsch and G. Hirschfeld, “Facets of website content,” Hum.- Comput. Interact., vol. 34, no. 4, pp. 279–327, 2019, doi: 10.1080/07370024.2017.1421954.
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