Perceived Usefulness and Ease of Use of E-Government to Generate Trust and Intention to Use by Citizens
DOI:
https://doi.org/10.4067/S0718-27242025000100049Keywords:
Perceived usefulness, ease of use, trust, intention to use, e-GovernmentAbstract
Public institutions across the world use technology to meet new society’s needs. Citizens are connected now, they have access to information in real time, they demand new types of services. Governments need digital tools to meet these new challenges and to contribute to their nation’s development, enabling the delivery of technological services and solutions that lead to a digital transformation. This research aims to determine the impact of perceived usefulness and the usability of e-government concerning citizen’s trust when using public online services. We applied a questionnaire to 361 citizens users of public online services in Tamaulipas, Mexico, using SmartPLS statistical software. The main results indicate that perceived usefulness, ease of use as well as trust have a strong influence in the citizens’ intention to use public online services, which could be considered by the administrations in the design of e-government online services projects or initiatives. We consider the present study findings may help the public and academic sector in the study and design of strategies that help them in the development of e-government public policies focused on building effective e-government solutions allowing for the future development of nations.
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Abdelhakim, D., & Idoughi, D. (2021). Citizen adoption of mobile and customizable e-Government services: A literature review and conceptual framework. International Journal of Information Systems in the Services Sector, 13(1), 31-53. https://doi.org/10.4018/IJISSS.2021010102
Ahmad, A., & Kirmani, M.D. (2020). Investigating factors affecting intention to use Government Websites for COVID-19-Related Information: An empirical study. International Journal of Electronic Government Research (IJEGR), 16(2), 60-74. https://doi.org/10.4018/ijegr.2020040104
Al-Hujran, O., Al-Debei, M. M., Chatfield, A., & Migdadi, M. (2015). The imperative of influencing citizen attitude toward e-government adoption and use. Computers in Human Behavior, 53, 189-203. https://doi.org/10.1016/j.chb.2015.06.025
Al-Naimat, A.M., & Fraihat, A. (2020). E-Government's service quality; user perception significance and measurement. International Journal of Computer Science and Network Security, 20(10), 101-107. https://doi.org/10.22937/IJCSNS.2020.20.10.14
Al-Sakran, H. O., & Alsudairi, M.A. (2021). Usability and accessibility assessment of Saudi Arabia Mobile E-Government websites. IEEE Access, 9, 48254-48275. https://doi.org/10.1109/ACCESS.2021.3068917
Alotaibi, R., Houghton, L. & Sandhu, K. (2017). Factors influencing users' intentions to use mobile government applications in Saudi Arabia: TAM applicability. International Journal of Advanced Computer Science and Applications. 8(7), 200-211. https://doi.org/10.14569/IJACSA.2017.080727
Alzahrani, L., Al-karaghouli, W., & Weerakkody, V. (2016). Analysing the critical factors influencing trust in e-government adoption from citizens' perspective: A systematic review and a conceptual framework. International Business Review, 26(1), 164-175. https://doi.org/10.1016/j.ibusrev.2016.06.004
Bagozzi, R.P. (2007). The legacy of the Technology Acceptance Model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4), 244-254. https://doi.org/10.17705/ljais.00122
Böhm, M., Fuchs, S., Pfliegl, R., & Kõlbl, R. (2009). Driver behavior and user acceptance of cooperative systems based on infrastructure-to-vehicle communication. Transportation Research Record: Journal of the Transportation Research Board, 2129, 136-144. https://doi.org/10.3141/2129-16
Buyle, R., Van Compernolle, M., Vlassenroot, E., Vanlishout, Z., Mechant, P., & Mannens, E. (2018). "Technology readiness and acceptance model" as a predictor for the use intention of data standards in smart cities. Media and Communication. 6(4), 127-139. https://doi.org/10.17645/mac.v6i4.1679
Carter, L., Weerakkody, V., Phillips, B., & Dwivedi, Y.K. (2016). Citizen adoption of e-Government services: Exploring citizen perceptions of online services in the United States and the United Kingdom. Information Systems Management, 33(2), 124-140. https://doi.org/10.1080/10580530.2016.1155948
Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 5-25. https://doi.org/10.1111/j.1365-2575.2005.00183.x
Chen, L., & Aklikokou, A.K. (2020). Determinants of E-government adoption: Testing the mediating effects of perceived usefulness and perceived ease of use. International Journal of Public Administration, 43(10), 850-865. https://doi.org/10.1080/01900692.2019.1660989
Chin, W. (1998). The partial least squares approach to structural equation modelling. In: G. Marcoulides (Eds), Modern Methods for Business Research (pp. 295-336). Lawrence Erlbaum.
Chuttur, M. (2009). Overview of the Technology Acceptance Model: Origins, Developments and Future Directions. All Sprouts Content. 290. http://aisel.aisnet.org/sprouts_all/290
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdate. LEA.
CEPAL (2021). Datos y hechos sobre la transformación digital. Comisión Económica para América Latina y el Caribe. Documentos de proyectos (LC/TS.2021/20), Chile
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Davis, F.D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human Computer Studies, 45(1), 19-45. https://doi.org/10.1006/ijhc.1996.0040
Dey, B.L., Al-Karaghouli, W., & Muhammad, S.S. (2020). Adoption, adaptation, use and impact of information systems during pandemic time and beyond: Research and managerial Implications. Information System Management, 37(4), 298-302. https://doi.org/10.1080/10580530.2020.1820632
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
Fornell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Gefen, D., Karahanna, E., & Straub, D.W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519
Glyptis, L., Christofi, M., Vrontis, D., Del Giudice, M., Dimitriou, S., & Michael, P. (2020). E-Government implementation challenges in small countries: The project manager's perspective. Technological Forecasting and Social Change, 152. https://doi.org/10.1016/j.techfore.2019.119880
Hair, J., Hult, T., Ringle, C., Sarstedt, M., Castillo, J., Cepeda, G., & Roldán, J.L. (2019). Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publishing. https://doi.org/10.3926/oss.37
Hamid, A.A., Razak, F.Z.A., Bakar, A.A., & Abdullah, W.S.W. (2016). The effects of perceived usefulness and perceived ease of use on continuance intention to use e-Government. Procedia Economics and Finance, 35, 644-649. https://doi.org/10.1016/s2212-5671(16)00079-4
Henseler, J., Ringle, C., & 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
Herzallah, F., & Mukhtar, M. (2016). The impact of perceived usefulness, ease of use and trust on managers' acceptance of e-commerce services in small and medium-sized enterprises (SMEs) in Palestine. International Journal on Advanced Science, Engineering and Information Technology, 6(6), 922-929. https://doi.org/10.18517/ijaseit.6.6.1377
Khan, S., Rahim, N. Z., & 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
Konerding, U. (1999). Formal models for predicting intentions in dichotomous choice situations. Methods of Psychological Research Online, 4(2), 1-32.
Lee, Y., Kozar, K., & Larsen, K. (2003). The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12, 752-780. https://doi.org/10.17705/1CAIS.01250
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204. https://doi.org/10.1016/S0378-7206(01)00143-4
Li, X., Zhao, X., Xu, W., & Wei Pu, W. (2020). Measuring ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behaviour patterns. Journal of Retailing and Consumer Services, 55, 102093. https://doi.org/10.1016/j.jretconser.2020.102093
Martins, P.G., Lopes, D.C., & Ramalho, R.A. (2019). Information technologies: process management through message applications. AtoZ: novas práticas em informação e conhecimento, 8(2), 83-90. https://doi.org/10.5380/atoz.v8i2.71368
McKnight, D., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. The Journal of Strategic Information Systems, 11(3-4), 297-323. https://doi.org/10.1016/s0963-8687(02)00020-3
Mensah, I. K., Jianing, M., & Durrani, D. K. (2017). Factors influencing citizens' intention to use e-government services: A case study of South Korean Students in China. International Journal of Electronic Government Research, 13(1), 14-32. https://doi.org/10.4018/ijegr.2017010102
Mexico-Digital (2018). Estrategia Digital Nacional del gobierno federal. Retrieved from https://www.gob.mx/mexicodigital. Consulta: November 20, 2021
Nofal, M.I., Al-Adwan, A.S., Yaseen, H., & Alsheikh, G.A.Α. (2021). Factors for extending e-government adoption in Jordan. Periodicals of Engineering and Natural Sciences, 9(2), 471-490. https://doi.org/10.21533/pen.v9i2.1824
Nzaramyimana, L., & Susanto, T.D. (2019). Analysis of factors affecting behavioural intention to use e-Government services in Rwanda. Procedia Computer Science, 161, 350-358. https://doi.org/10.1016/j.procs.2019.11.13
Oentoro, W. (2021). Mobile payment adoption process: a serial of multiple mediation and moderation analysis. Bottom Line, 34(3-4), 225-244. https://doi.org/10.1108/BL-09-2020-0059
OECD (2019). Indice de Gobierno Digital OCDE 2019. Resultados y mensajes clave. Retrieved from http://www.oecd.org/gov/digital-government/digital-government-index-2019-highlights-es.pdf
OECD (2020). Perspectivas económicas de América Latina 2020: Transformación digital para una mejor reconstrucción. OECD Publishing, Paris, https://doi.org/10.1787/f2fdced2-es
Pavlou, P.A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134. https://doi.org/10.1080/10864415.2003.11044275
Ramos, F.L., Ferreira, J.B., De Freitas, A.S., & Rodrigues, J.W. (2018). The effect of trust in the intention to use m-banking. Brazilian Business Review, 15(2), 175-191. https://doi.org/10.15728/bbr.2018.15
Rana, N.P., Dwivedi, Y K., & Williams, M.D. (2015). A meta-analysis of existing research on citizen adoption of e-government. Information Systems Frontiers, 17(3), 547-563. https://doi.org/10.1007/s10796-013-9431-z
Rana, N.P., Dwivedi, Y.K., Lal, B., Williams, M.D., & Clement, M. (2017). Citizens' adoption of an electronic government system: towards a unified view. Information Systems Frontiers, 19(3), 549-568. https://doi.org/10.1007/s10796-015-9613-y
Rifat, A., Nisha, N., & Iqbal, M. (2019). Predicting e-Tax service adoption: Integrating perceived risk, service quality and TAM. Journal of Electronic Commerce in Organizations, 17(3), 71-100. https://doi.org/10.4018/JECO.2019070105
Ringle, C.M., Wende, S., & Becker, J.M. (2022). SmartPLS 4. Retrieved from https://www.smartpls.com
Roseth, B., Reyes, A., & Santiso, C. (2018). El Fin del Trámite Eterno. Ciudadanos, burocracia y gobierno digital. Banco Interamericano de Desarrollo.
Santhanamery, T., & Ramayah, T. (2018). Trust in the system: The mediating effect of perceived usefulness of the e-Filing system. In: S. Saeed, T. Ramayah, and Z. Mahmood (eds). User Centric E-Government. Integrated Series in Information Systems, Springer, Cham, pp. 89-103. https://doi.org/10.1007/978-3-319-59442-2_5
Sharma, R., Singh, G., & Sharma, S. (2020). Modelling internet banking adoption in Fiji: A developing country perspective. International Journal of Information Management, 53. https://doi.org/10.1016/j.ijinfomgt.2020.102116
Tsui, H.D. (2019). Trust, perceived useful, attitude and continuance intention to use e-government service: An empirical study in Taiwan. IEICE Transactions on Information and Systems, 102(12), 2524-2534. https://doi.org/10.1587/transinf.2019EDP7055
Turel, O., Yuan, Y., & Connelly, C.E. (2008). In justice we trust: Predicting user acceptance of E-customer services. Journal of Management Information Systems, 24(4), 123-151. https://doi.org/10.2753/MIS0742-1222240405
United Nations (2020). 2020 UN e-Government survey. Digital government in the decade of action for sustainable development. In: United Nations E-Government Knowledge base. Department of Economic and Public Affairs, United Nations. Retrieved from https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2020-Survey/2020 UN E-Government Survey (Full Report).pdf
Vahdat, A., Alizadeh, A., Quach, S., & Hamelin, N. (2021). Would you like to shop via mobile app technology? The technology acceptance model, social factors and purchase intention. Australasian Marketing Journal, 29(2), 187-197. https://doi.org/10.1016/j.ausmj.2020.01.002
Van Slyke, C., Bélanger, F., & Comunale, C. (2004). Adopting business-to-consumer electronic commerce: The effects of trust and perceived innovation characteristics. The Data Base for Advances in Information Systems, 35(2), 32-49. https://doi.org/10.1145/1007965.1007969
Venkatesh, V., Davis, E. D., & College, S.M.W. (2000). Theoretical acceptance extension model: Four longitudinal field studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478
Wang, X., Dong, J., Liu, H., & Zhang, J. (2016). E-Government applications in promoting agricultural productions. Journal of Electronic Commerce in Organizations, 14(2), 32-45. https://doi.org/10.4018/jeco.2016040103
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