Factors that Influencing Tertiary Students’ Trust in Facebook’s Social Networking Services in Malaysia: A Structural Equation Modelling Approach
DOI:
https://doi.org/10.37134/jsml.vol9.2.9.2021Keywords:
Social networking services (SNS), Trust, Continuance Intention, Structural Equation Modelling (SEM)Abstract
Social networking services (SNS) is a platform that undertakings as a connector among individuals in this digital era, in particular between family, friends, and colleagues. This study was conducted to determine the factors influencing users’ trust in social networking services (SNS) of Facebook and construct the structural of inter-relations between the factors influencing users’ trust in SNS of Facebook. Trust is a crucial factor to be considered when information is being disseminated. Genuine information that can resonate and relied upon audience is necessary. A conceptual model is developed with four factors such as effort expectancy, social influence, privacy concerns and perceived risks. Trust acts as a mediator and continuance intention as a dependent variable in the model. Data were collected from 770 tertiary students in public and private universities in Malaysia by using a structured questionnaire. The questionnaire was design in online form and distributed via online platform too. Convenient sampling method was adopted for data collection purposes. By using structural equation modelling (SEM), the findings revealed that there are three factors which are effort expectancy, social influence and perceived risks that significantly affected the users’ trust of Facebook. Besides, the factor, privacy concerns was significantly influencing the perceived risks of users. The continuance intention in Facebook utilization was significantly affected by users’ trust.
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References
Aboelmaged. M. G, & Gebba, T. R. (2013), Mobile Banking Adoption: An Examination of Technology Acceptance Model and Theory of Planned Behavior, International Journal of Business Research and Development, 2(1), 35‐50.
Afthanorhan,. A (2014). Re: Which goodness-of-fit indices or statistical test should be used in interpreting the results of a CFA, using the WLS method? Retrieved from: https://www.researchgate.net/post/Which_goodness-offit_indicesor_statistical_test_should_be_used_in_interpreting_the_results_of_a_CFA_using_the_WLS_method/53fe919cd4c118135f8b4629/citation/download.
Awang, Z. (2012). Structural equation modeling using AMOS graphic. Penerbit Universiti Teknologi MARA.
Bagozzi, Richard & Yi, Youjae (1988). On the Evaluation of Structure Equation Models. Journal of the Academy of Marketing Science. 16. 74-94.
Bentler, P. (1989). EQS structural equations program manual. Los Angeles, CA: BMDP Statistical Software.
Bentler, P, & Bonett, D. (1980). Significance Tests and Goodness-of-Fit in Analysis of Covariance Structures. Psychological Bulletin. 88. 588-606. 10.1037/0033-2909.88.3.588.
Browne, M. W., Cudeck, R. (1993). Alternative ways of assessing model fit. In Bollen, K. A., Long, J. S. (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
Chang, S. E., Liu, A. Y., & Shen, W. C. (2017). User trust in social networking services: A comparison of Facebook and LinkedIn. Computers in Human Behavior, 69, 207-217.
Constine, J. (2010). Facebook has users identify friends in photos to verify accounts, prevent unauthorized access. Retrieved from http://www.insidefacebook.com/2010/07/26/facebook-photos-verify/
Constine, J. (2012). Facebook asks every user for a verified phone number to prevent security disaster. Retrieved from http://techcrunch.com/2012/06/14/facebook-security-tips/
Fornell, C., & Larcker, D.F. (1981). Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res., 18, 39–50.
Gye-Soo, K. (2016). Partial Least Squares Structural Equation Modeling (PLS-SEM): An application in Customer Satisfaction Research. International Journal of U- and E- Service, Science and Technology, 9(4), 61-68.
Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analysis, 7th Ed., Prentice-Hall, Upper Saddle River, NJ.
Jang, Y. T., Chang, S. E., & Chen, P. A. (2015). Exploring social networking sites for facilitating multichannel retailing. Multimedia Tools and Applications, 74(1), 159-178.
Joreskog, K. G., & Sorbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Chicago, IL: Scientific Software International. reliability. Journal of Applied Psychology, 98(1), 194–198.
Kellogg, K. (2020). The 7 Biggest Social Media Sites in 2020. Retrieved from https://www.searchenginejournal.com/social-media/biggest-social-media-sites/#close
Medaglia, R., Rose, J., Nyvang, T., & Sabo, O. (2009). Characteristics of Social Networking Services. In 4th Mediterranean Conference on Information Systems. Athens University of Economics and Business.
Muhamad Safiih, L. & Nor Azreen, M. A. (2016). Confirmatory Factor Analysis Approach: A Case Study of Mathematics Students’ Achievement in TIMSS. Malaysian Journal of Mathematical Sciences 10(S) Special Issue: The 10th IMT-GT International Conference on Mathematics, Statistics and its Applications 2014 (ICMSA 2014). March: 41- 51.
Peterson R, A. & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Appl Psychol. 98(1):194-8. doi: 10.1037/a0030767.
Reinard, J. C. (2006). Communication research statistics. SAGE Publications, Inc.
Sacha, E. (2019). Confirmatory Factor Analysis, Fitting CFA models. Retrieved August 22, 2020, from http://sachaepskamp.com/files/SEM12019/SEM1Week2_2019.pdf
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and Informatics, 32(1), 129–142. doi:10.1016/j.tele.2014.05.003
Shannak, R., Masa’deh, R., & Maqableh, M. (2013). A structural equation modeling approach for determining antecedents and outcomes of students’ attitude toward mobile commerce adoption. Life Science Journal, 10(4), 2321-2333.
Shau, T. V. (2017). The Confirmatory Factor Analysis (CFA) of Preschool Management Model in Sarawak. International Journal of Academic Research in Business and Social Sciences, 7(6). doi:10.6007/ijarbss/v7-i6/2959
Sharif, Ashraf, Saira H. Soroya, Shakil Ahmad, and Khalid Mahmood (2021). Antecedents of Self-Disclosure on Social Networking Sites (SNSs): A Study of Facebook Users, Sustainability 13(3), https://doi.org/10.3390/su13031220
Shi, D., Song, H., Lewis, M. D. (2017). The impact of partial factorial invariance on cross-group comparisons. Assessment. Advance online publication.
Singh, K., Junnarkar, M., & Kaur, J. (2016). Measures of Positive Psychology, Development and Validation. Berlin: Springer
StatisticSolutions, (2019), Structural Equation Modeling, Retrieved on 27 May 2020, from https://www.statisticssolutions.com/structural-equation-modeling/
Tan, X., Qin, L., Kim, Y., & Hsu, J. (2012). Impact of privacy concern in social networking web sites. Internet Research, 22(2), 211-233.
Yokoyama, M. H. & Sekiguchi, T. (2014). The Use of Social Network Sites in the Workplace: a Case Study in Brazilian Companies. Brazilian Business Review, 11(2), 87-114.