PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

Trust is the fundamental matter that improves residents’ willingness to utilize social media as a technology tool for e-administration facilities. Despite its significance in the e-administrative sector, there is a lack of empirical investigation on residents’ trust in behavioral intention to use social media for e-administrative services. This study investigates the antecedents of residents’ trust and its impact on their behavioral intention to use social media for e-administration services. An online survey platform was used to collect the data from Malaysian residents in Kuala Lumpur and Petaling Jaya area. Data were analyzed using the partial least square technique. The findings revealed that reliable information has a positive and highly significant influence on residents’ trust, whereas attitude, subjective norms, and perceived privacy did not significantly affect residents’ trust. The findings also indicated that residents’ trust significantly impacts behavioral intention to use social media for e-administrative services. The findings have significant insight into the residents’ trust and behavioral intention to use social media for e-administration facilities. The results of this research can help government associations and policymakers in the nation to adequately establish their systems in raising residents’ trust, driving towards their engagement through information technology, particularly social media technology for e-administration services.

• Abdulkareem, A. K., Abdulkareem, Z. J., Ishola, A. A., & Akindele, I. T. (2022). Does e-government impact e-participation? The influence of trust in e-government. International Review of Public Administration, 1-20. https://doi.org/10.1080/12294659.2022.2071540

• Abu-Shanab, E. (2014). Antecedents of trust in e-government services: An empirical test in Jordan. Transforming Government: People, Process and Policy, 8(4), 480-499. https://doi.org/10.1108/TG-08-2013-0027

• Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

• Ajzen, I. and Fishbein, M (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.

• Akinwale, Y. O., & Kyari, A. K. (2020). Factors influencing attitudes and intention to adopt financial technology services among the end-users in Lagos State, Nigeria. African Journal of Science, Technology, Innovation and Development, 5, 1-8. https://doi.org/10.1080/20421338.2020.1835177

• Aladalah, M., Cheung, Y., & Lee, V. C. (2018). Towards a model for engaging citizens via gov2.0 to meet evolving public value. International Journal of Public Administration in the Digital Age, 5(1), 1-17. https://doi.org/10.4018/IJPADA.2018010101

• Alarabiat, A., & Soares, D. S. (2016). Electronic participation through social media. In B. John, E. Elsa & M. Sehl (Eds.). Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance (pp. 191-194). Associate of Computing Machinery. https://doi.org/10.1145/2910019.2910109

• Alcaide-Muñoz, C., Alcaide-Muñoz, L., & Alcaraz-Quiles, F. J. (2018). Social media and e-participation research: Trends, accomplishments, gaps, and opportunities for future research. In L. Alcaide-Muñoz & F. Alcaraz-Quiles (Eds.), Optimizing e-participation initiatives through social media (pp. 1-27). IGI Global. https://doi.org/10.4018/978-1-5225-5326-7.ch001

• ALotaibi, R. M., Ramachandran, M., Kor, A. L., & Hosseinian-Far, A. (2016). Factors affecting citizens’ use of social media to communicate with the government: A proposed model. Electronic Journal of E-government, 14(1), 60-72.

• Alyoussef, I. (2021). E-learning system use during emergency: An empirical study during the COVID-19 pandemic. Frontiers in Education, 6. https://doi.org/10.3389/feduc.2021.677753

• Alzahrani, L., Al-Karaghouli, W., & Weerakkody, V. (2018). Investigating the impact of citizens’ trust toward the successful adoption of e-government: A multigroup analysis of gender, age, and internet experience. Information Systems Management, 35(2), 124-146. https://doi.org/10.1080/10580530.2018.1440730

• Ayaburi, E. W., & Treku, D. N. (2020). Effect of penitence on social media trust and privacy concerns: The case of Facebook. International Journal of Information Management, 50, 171-181. https://doi.org/10.1016/j.ijinfomgt.2019.05.014

• Azamela, J. C., Tang, Z., Ackah, O., & Awozum, S. (2022). Assessing the antecedents of e-government adoption: A Case of the Ghanaian public sector. SAGE Open, 12(2). https://doi.org/10.1177/21582440221101040

• Bagozzi, R. P. (1994). Advanced methods of marketing research. Blackwell Business. https://blackwells.co.uk/bookshop/product/Advanced-Methods-of-Marketing-Research-by-Richard-P-Bagozzi/9781557865496

• Bailey, A. A., Bonifield, C. M., & Arias, A. (2018). Social media use by young Latin American consumers: An exploration. Journal of Retailing and Consumer Services, 43, 10-19. https://doi.org/10.1016/j.jretconser.2018.02.003

• Barki, H., & Hartwick, J. (1994). Measuring user participation, user involvement, and user attitude. MIS quarterly, 18(1), 59-82. https://doi.org/10.2307/249610

• Beldad, A., van der Geest, T., de Jong, M., & Steehouder, M. (2012). A cue or two and I’ll trust you: Determinants of trust in government organizations in terms of their processing and usage of citizens’ personal information disclosed online. Government information quarterly, 29(1), 41-49. https://doi.org/10.1016/j.giq.2011.05.003

• Bonsón, E., Torres, L., Royo, S., & Flores, F. (2012). Local e-government 2.0: Social media and corporate transparency in municipalities. Government information quarterly, 29(2), 123-132. https://doi.org/j.giq.2011.10.001

• Borges, L. M., Barnes, S. M., Farnsworth, J. K., Bahraini, N. H., & Brenner, L. A. (2020). A commentary on moral injury among health care providers during the COVID-19 pandemic. Psychological Trauma: Theory, Research, Practice, and Policy, 12(S1), S138. https://doi.org/10.1037/tra0000698

• Borhan, M. N., Ibrahim, A. N. H., Miskeen, M. A. A., Rahmat, R. A. O., & Alhodairi, A. M. (2017). Predicting car drivers’ intention to use low cost airlines for intercity travel in Libya. Journal of Air Transport Management, 65, 88-98. https://doi.org/10.1016/j.jairtraman.2017.09.004

• Browne, R. H. (1995). On the use of a pilot sample for sample size determination. Statistics in medicine, 14(17), 1933-1940. https://doi.org/10.1002/sim.4780141709

• Chen, J. V., Jubilado, R. J. M., Capistrano, E. P. S., & Yen, D. C. (2015). Factors affecting online tax filing-An application of the IS success model and trust theory. Computers in Human Behavior, 43, 251-262. https://doi.org/10.1016/j.chb.2014.11.017

• Chen, X., Rahman, M. K., Rana, M., Gazi, M., Issa, A., Rahaman, M., & Nawi, N. C. (2022). Predicting consumer green product purchase attitudes and behavioral intention during COVID-19 pandemic. Frontiers in Psychology, 12, 1-10. https://doi.org/10.3389/fpsyg.2021.760051

• Cheng, X., Fu, S., & de Vreede, G. J. (2017). Understanding trust influencing factors in social media communication: A qualitative study. International Journal of Information Management, 37(2), 25-35. https://doi.org/10.1016/j.ijinfomgt.2016.11.009

• Chin, D. N. (2001). Empirical evaluation of user models and user-adapted systems. User modeling and user-adapted interaction, 11(1), 181-194. https://doi.org/10.1023/A:1011127315884

• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates. https://www.utstat.toronto.edu/~brunner/oldclass/378f16/readings/CohenPower.pdf

• Colesca, S. E. (2009). Understanding trust in e-government. Engineering Economics, 63(3), 7-15.

• Cooper, R. B., & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management science, 36(2), 123-139. https://doi.org/10.1287/mnsc.36.2.123

• Creswell, J. W. (2013). Steps in conducting a scholarly mixed methods study [Paper presentation]. DBER Speaker Series, University of Nebraska Lincoln, USA. https://digitalcommons.unl.edu/dberspeakers/48/

• Cubric, M. (2020). Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study. Technology in Society, 62, 1-12. https://doi.org/10.1016/j.techsoc.2020.101257

• Di Virgilio, F. (2018). Trust in government’s social media service and citizen’s behavior. In The 12th Multidisciplinary Academic Conference on Economics, Management and Marketing. https://iris.unimol.it/handle/11695/79380

• Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British journal of management, 17(4), 263-282. https://doi.org/10.1111/j.1467-8551.2006.00500.x

• Dwivedi, Y. K., Rana, N. P., Janssen, M., Lal, B., Williams, M. D., & Clement, M. (2017). An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly, 34(2), 211-230. https://doi.org/10.1016/j.giq.2017.03.001

• Dwivedi, Y. K., Rana, N. P., Tajvidi, M., Lal, B., Sahu, G. P., & Gupta, A. (2017). Exploring the role of social media in e-government: An analysis of emerging literature. Proceedings of the 10th international conference on theory and practice of electronic governance (pp. 97-106). Association for Computing Machinery. https://doi.org/10.1145/3047273.3047374

• Farivar, S., Turel, O., & Yuan, Y. (2017). A trust-risk perspective on social commerce use: An examination of the biasing role of habit. Internet Research, 27(3), 586-607. https://doi.org/10.1108/IntR-06-2016-0175

• Fornell, C., & Cha, J. (1993). Partial least squares (PLS) [Unpublished working paper]. https://www.scirp.org/(S(351jmbntvnsjt1aadkozje))/reference/referencespapers.aspx?referenceid=3203890

• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. https://doi.org/10.1177/002224378101800313

• Gefen, D., & Straub, D. (2003). Managing user trust in B2C e-services. E-Service, 2(2), 7-24. https://doi.org/10.2979/ESJ.2003.2.2.7

• Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214. https://doi.org/10.1080/07421222.2001.11045669

• Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R. Sage publications. https://doi.org/10.1007/978-3-030-80519-7

• Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed). Sage publications. https://us.sagepub.com/en-us/nam/a-primer-on-partial-least-squares-structural-equation-modeling-pls-sem/book244583

• Hair, J. F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12(3), 100-392. https://doi.org/10.1016/j.jfbs.2020.100392

• Hair, J. F., Celsi, M., Ortinau, D. J., & Bush, R. P. (2010). Essentials of Marketing Research (Vol.2). McGraw-Hill/Irwin. https://digitalcommons.kennesaw.edu/facpubs/2719/

• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202

• Hao, X., Zheng, D., Zeng, Q., & Fan, W. (2016). How to strengthen the social media interactivity of e-government: Evidence from China. Online Information Review, 40(1), 79-96. https://doi.org/10.1108/OIR-03-2015-0084

• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of The Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

• Hoque, M. N., Rahman, M. K., Said, J., Begum, F., & Hossain, M. M. (2022). What factors influence customer attitudes and mindsets towards the use of services and products of Islamic Banks in Bangladesh? Sustainability, 14(8), 1-19. https://doi.org/10.3390/su14084703

• Hossain, M. M., & Adnan, H. M. (2021). Undergraduate students’ trust in using social networking sites. Journal of Entrepreneurship and Business, 9(2), 1-14. https://doi.org/10.17687/jeb.v9i2.770

• Hsiao, C. H., & Yang, C. (2010). Predicting the travel intention to take High Speed Rail among college students. Transportation research part F: traffic psychology and behaviour, 13(4), 277-287. https://doi.org/10.1016/j.trf.2010.04.011

• Hu, Q., Chi, B., & Akella, M. R. (2019). Anti-unwinding attitude control of spacecraft with forbidden pointing constraints. Journal of Guidance, Control, and Dynamics, 42(4), 822-835. https://doi.org/10.2514/1.G003606

• Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2), 195-204. https://doi.org/10.1002/(SICI)1097-0266(199902)20:2<195::AID-SMJ13>3.0.CO;2-7

• Husin, M. H., Loghmani, N., & Zainal Abidin, S. S. (2017). Increasing e-government adoption in Malaysia: MyEG case study. Journal of Systems and Information Technology, 19(3/4), 202-227. https://doi.org/10.1108/JSIT-01-2017-0007

• Hussain, S., Shujahat, M., Malik, M. I., Iqbal, S., & Mir, F. N. (2017). Contradictory results on the mediating roles of two dimensions of trust between transformational leadership and employee outcomes. Journal of organizational Effectiveness: People and Performance, 5(1), 39-63. https://doi.org/10.1108/JOEPP-11-2016-0063

• Kamarudin, S., Omar, S. Z., Zaremohzzabieh, Z., Bolong, J., & Osman, M. N. (2021). Factors predicting the adoption of e-government services in telecenters in rural areas: The mediating role of trust. Asia-Pacific Social Science Review, 21(1), 21-38.

• Kaur, K., & Rampersad, G. (2018). Trust in driverless cars: Investigating key factors influencing the adoption of driverless cars. Journal of Engineering and Technology Management, 48, 87-96. https://doi.org/10.1016/j.jengtecman.2018.04.006

• Khan, H. U., Artail, H. A., Malik, Z., & Niazi, M. (2014). Information technology adoption, possible challenges, and framework of supply chain management: A case study of a leading gulf economy. 2014 4th International Conference on Engineering Technology and Technopreneuship (ICE2T), 1-5. IEEE. https://doi.org/10.1109/ICE2T.2014.7006207

• Khan, S., Rahim, N. Z. A., & Maarop, N. (2019). A review on antecedents of citizen’s trust in government social media services. 3C Technology, 21-120. https://doi.org/10.17993/3ctecno.2019.specialissue.10

• Khan, S., Umer, R., Umer, S., & Naqvi, S. (2021). Antecedents of trust in using social media for E-government services: An empirical study in Pakistan. Technology in Society, 64, 1-13. https://doi.org/10.1016/j.techsoc.2020.101400

• Khan, S., Zairah, A., Rahim, N., & Maarop, N. (2020). A systematic literature review and a proposed model on antecedents of trust to use social media for e-government services. International Journal of Advanced and Applied Sciences, 7(2), 44-56. https://doi.org/10.21833/ijaas.2020.02.007

• Kieser, M., & Wassmer, G. (1996). On the use of the upper confidence limit for the variance from a pilot sample for sample size determination. Biometrical Journal, 38(8), 941-949. https://doi.org/10.1002/bimj.4710380806

• Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564. https://doi.org/10.1016/j.dss.2007.07.001

• Kim, Y. G., Woo, E., & Nam, J. (2018). Sharing economy perspective on an integrative framework of the NAM and TPB. International Journal of Hospitality Management, 72, 109-117. https://doi.org/10.1016/j.ijhm.2018.01.008

• Kitsios, F., & Kamariotou, M. (2021). Artificial intelligence and business strategy towards digital transformation: A research agenda. Sustainability, 13(4), 20-25. https://doi.org/10.3390/su13042025

• Koranteng, F. N., & Wiafe, I. (2019). Factors that promote knowledge sharing on academic social networking sites: An empirical study. Education and Information Technologies, 24(2), 1211-1236. https://doi.org/10.1007/s10639-018-9825-0

• Kumar, R., Sachan, A., & Mukherjee, A. (2018). Direct vs indirect e-government adoption: An exploratory study. Digital Policy, Regulation and Governance, 20(2), 149-162. https://doi.org/10.1108/DPRG-07-2017-0040

• Lean, O. K., Zailani, S., Ramayah, T., & Fernando, Y. (2009). Factors influencing intention to use e-government services among citizens in Malaysia. International Journal of Information Management, 29(6), 458-475. https://doi.org/10.1016/j.ijinfomgt.2009.03.012

• Letirand, F., & Delhomme, P. (2005). Speed behaviour as a choice between observing and exceeding the speed limit. Transportation Research Part F: Traffic Psychology and Behaviour, 8(6), 481-492. https://doi.org/10.1016/j.trf.2005.06.002

• Li, W., & Xue, L. (2021). Analyzing the critical factors influencing post-use trust and its impact on citizens’ continuous-use intention of e-government: Evidence from Chinese municipalities. Sustainability, 13(14), 7698. https://doi.org/10.3390/su13147698

• Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197. https://doi.org/10.1016/j.im.2019.103197

• Lien, C. H., & Cao, Y. (2014). Examining WeChat users’ motivations, trust, attitudes, and positive word-of-mouth: Evidence from China. Computers in Human Behavior, 41, 104-111. https://doi.org/10.1016/j.chb.2014.08.013

• Madha, A., Salman, A. D., Hussain, H. D., Borhan, N., & Riza Atiq, O. K. R. (2016). Analysis of travel behaviour in Petaling Jaya, Malaysia: An application of the theory of planned behaviour. Archives of Transport, 38. 29-38. https://doi.org/10.5604/08669546.1218791

• Malaysian Communications and Multimedia Commission, (2018). Internet Users Survey 2018. https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/Internet-Users-Survey-2018.pdf

• Maqableh, M., Jaradat, M., & Azzam, A. (2021). Exploring the determinants of students’ academic performance at university level: The mediating role of internet usage continuance intention.Education and Information Technologies, 26(4), 4003-4025. https://doi.org/10.1007/s10639-021-10453-y

• Merriam-Webster (n.d.). Social media. In Merriam-Webster.com dictionary. Retrieved November 3, 2021. https://www.merriam-webster.com/dictionary/social%20media#:~:text=%3A%20forms%20of%20electronic%20communication%20(such,other%20content%20(such%20as%20videos).

• Moan, I. S., & Rise, J. (2011). Predicting intentions not to “drink and drive” using an extended version of the theory of planned behaviour. Accident Analysis & Prevention, 43(4), 1378-1384. https://doi.org/10.1016/j.aap.2011.02.012

• Nulhusna, R., Sandhyaduhita, P. I., Hidayanto, A. N., & Phusavat, K. (2017). The relation of e-government quality on public trust and its impact on public participation. Transforming Government: People, Process and Policy, 11(3), 393-418. https://doi.org/10.1108/TG-01-2017-0004

• Park, M. J., Choi, H., Kim, S. K., & Rho, J. J. (2015). Trust in government’s social media service and citizen’s patronage behavior. Telematics and Informatics, 32(4), 629-641. https://doi.org/10.1016/j.tele.2015.02.006

• Picazo-Vela, S., Fernández-Haddad, M., & Luna-Reyes, L. F. (2016). Opening the black box: Developing strategies to use social media in government. Government Information Quarterly, 33(4), 693-704. https://doi.org/10.1016/j.giq.2016.08.004

• Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286-302. https://doi.org/10.1016/j.tourman.2014.10.009

• Porumbescu, G. A. (2016). Comparing the effects of e-government and social media use on trust in government: Evidence from Seoul, South Korea. Public Management Review, 18(9), 1308-1334. https://doi.org/10.1080/14719037.2015.1100751

• Rahman, M.K., Hossain, M.M., Akter, S., Hassan, A. (2022a). Technology innovation and social media as a global platform for tourism events. In A. Hassan (Ed.), Technology application in tourism fairs, festivals and events in asia. Springer, Singapore. DOI https://doi.org/10.1007/978-981-16-8070-0_7

• Rahman, M.K., Rana, M.S., Akter, S., Hassan, A. (2022b). Technology innovation as a destination branding tool for festivals and events tourism. In A. Hassan (Ed.), Technology application in tourism fairs, festivals and events in Asia. Springer, Singapore. https://doi.org/10.1007/978-981-16-8070-0_8

• Ramos, F. L., Ferreira, J. B., Freitas, A. S. D., & Rodrigues, J. W. (2018). The effect of trust in the intention to use m-banking. BBR. Brazilian Business Review, 15, 175-191. https://doi.org/10.15728/bbr.2018.15.2.5

• Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015). Investigating success of an e-government initiative: Validation of an integrated IS success model. Information Systems Frontiers, 17(1), 127-142. https://doi.org/10.1007/s10796-014-9504-7

• Rezaei, R., Safa, L., & Ganjkhanloo, M. M. (2020). Understanding farmers’ ecological conservation behavior regarding the use of integrated pest management-an application of the technology acceptance model. Global Ecology and Conservation, 22, 1-18. https://doi.org/10.1016/j.gecco.2020.e00941

• Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2014). Genetic algorithm segmentation in partial least squares structural equation modeling. OR Spectrum, 36(1), 251-276. https://doi.org/10.1007/s00291-013-0320-0

• Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of Market Research, 26(1), 1-40. https://doi.org/10.1007/978-3-319-57413-4_15

• Shareef, M. A., Kapoor, K. K., Mukerji, B., Dwivedi, R., & Dwivedi, Y. K. (2020). Group behavior in social media: Antecedents of initial trust formation. Computers in Human Behavior, 105, 106-225. https://doi.org/10.1016/j.chb.2019.106225

• Shuib, L., Yadegaridehkordi, E., & Ainin, S. (2019). Malaysian urban poor adoption of e-government applications and their satisfaction. Cogent Social Sciences, 5(1), 1-18. https://doi.org/10.1080/23311886.2019.1565293

• Siddique, W. (2016). Critical success factors affecting e-government policy implementation in Pakistan. JeDEM-eJournal of eDemocracy and Open Government, 8(1), 102-126. https://doi.org/10.29379/jedem.v8i1.398

• Statista (2021). Number of social network users worldwide from 2010 to 2021 (in billions). https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/

• Susanto, A., Lee, H., Zo, H., & Ciganek, A. P. (2013). User acceptance of internet banking in Indonesia: Initial trust formation. Information Development, 29(4), 309-322. https://doi.org/10.1177/026666691246

• Susanto, T. D., & Aljoza, M. (2015). Individual acceptance of e-Government services in a developing country: Dimensions of perceived usefulness and perceived ease of use and the importance of trust and social influence. Procedia Computer Science, 72, 622-629. https://doi.org/10.1016/j.procs.2015.12.171

• Tan, X., Qin, L., Kim, Y., & Hsu, J. (2012). Impact of privacy concern in social networking web sites. Internet Research, 22(2), 211-233. https://doi.org/10.1108/10662241211214575

• Taylor, S., & Todd, P. (1995). Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 12(2), 137-155. https://doi.org/10.1016/0167-8116(94)00019-K

• Teo, T. S., Srivastava, S. C., & Jiang, L. I. (2008). Trust and electronic government success: An empirical study. Journal of management information systems, 25(3), 99-132. https://doi.org/10.2753/MIS0742-1222250303

• Vasiljeva, T., Kreituss, I., & Lulle, I. (2021). Artificial intelligence: The attitude of the public and representatives of various industries. Journal of Risk and Financial Management, 14(8), 339. https://doi.org/10.3390/jrfm14080339

• Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision sciences, 27(3), 451-481.

• Verkijika, S. F., & De Wet, L. (2018). E-government adoption in sub-Saharan Africa. Electronic Commerce Research and Applications, 30, 83-93. https://doi.org/10.1016/j.elerap.2018.05.012

• Warner-Søderholm, G., Bertsch, A., Sawe, E., Lee, D., Wolfe, T., Meyer, J & Fatilua, U. N. (2018). Who trusts social media? Computers in Human Behavior, 81, 303-315.

• Warren, A. M., Sulaiman, A., & Jaafar, N. I. (2014). Social media effects on fostering online civic engagement and building citizen trust and trust in institutions. Government Information Quarterly, 31(2), 291-301. https://doi.org/10.1016/j.chb.2017.12.026

• World Bank. (2021). The world bank in Malaysia. www.worldbank.org/en/country/malaysia/overview.

• Wu, B., & Chen, X. (2017). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221-232. https://doi.org/10.1016/j.chb.2016.10.028

• Xie, Q., Song, W., Peng, X., & Shabbir, M. (2017). Predictors for e-government adoption: Integrating TAM, TPB, trust and perceived risk. The Electronic Library. 35(1), 2-20. https://doi.org/10.1108/EL-08-2015-0141

• Xin, H., Techatassanasoontorn, A. A., & Tan, F. B. (2013). Exploring the influence of trust on mobile payment adoption. PACIS 2013 Proceedings. 143.

• Yuan, D., Rahman, M. K., Issa Gazi, M. A., Rahaman, M. A., Hossain, M. M., & Akter, S. (2021). Analyzing of user attitudes toward intention to use social media for learning. SAGE Open, 11(4), 1-13. https://doi.org/10.1177/215824402110607

• Zahid, H., & Haji Din, B. (2019). Determinants of intention to adopt e-government services in Pakistan: An imperative for sustainable development. Resources, 8(3), 128. https://doi.org/10.3390/resources8030128

• Zahid, H., Ali, S., Abu-Shanab, E., & Javed, H. M. U. (2022). Determinants of intention to use e-government services: An integrated marketing relation view. Telematics and Informatics, 68, 101778.

• Zeebaree, M., Agoyi, M., & Aqel, M. (2022). Sustainable adoption of e-government from the UTAUT perspective. Sustainability, 14(9), 5370. https://doi.org/10.1016/j.tele.2022.101778

• Zhao, C., & Zhao, L. (2021). Digital nativity, computer self-efficacy, and technology adoption: A study among university faculties in China. Frontiers in Psychology, 12, 1-7. https://doi.org/10.3389/fpsyg.2021.746292