La adopción del e-Gobierno en entornos voluntarios

  1. Medina Molina, Cayetano
  2. Rufín Moreno, Ramón
  3. Rey Moreno, Manuel
Revista:
Investigaciones europeas de dirección y economía de la empresa

ISSN: 1135-2523

Ano de publicación: 2013

Volume: 19

Número: 1

Páxinas: 42-52

Tipo: Artigo

DOI: 10.1016/J.IEDEE.2012.10.001 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Outras publicacións en: Investigaciones europeas de dirección y economía de la empresa

Obxectivos de Desenvolvemento Sustentable

Resumo

El desarrollo del e-Gobierno centrado en el usuario requiere conocer tanto las expectativas que este tiene respecto a su uso, como los elementos que favorecen su adopción. Chan et al. (2010) han planteado la existencia de diversos antecedentes de los componentes del modelo Unified Theory of Acceptance and Use of Technology (UTAUT) en un entorno obligatorio. El presente trabajo, a través del desarrollo de un modelo de ecuaciones estructurales mediante PLS, analiza la vigencia de tales antecedentes en un entorno voluntario. Los resultados muestran cómo las expectativas de resultado y las expectativas de esfuerzo inciden de forma significativa sobre la intención de emplear la plataforma de e-Gobierno, y también que esta y las condiciones facilitadoras influyen sobre el uso de la mencionada plataforma. Respecto a los antecedentes de los componentes del modelo UTAUT, cabe destacar el papel desempeñado por la conveniencia, asistencia, confianza y aversión a la interacción personal.

Referencias bibliográficas

  • Aldás-Manzano, J., Ruiz-Mafé, C., & Sanz-Blas, S. (2009). Exploring individual personality factors as drivers of M-shopping acceptance. Industrial Management & Data Systems, 109(6), 739-757.
  • Al-Hujran, O. (2012). Toward the utilization of m-Government services in developing countries: a qualitative investigation. International Journal of Business and Social Science, 3(5), 155-160.
  • Althunibat, A., Zain, N. A. M., & Ashaari, N. S. (2011). Modeling the factors that influence mobile government services acceptance. African Journal of Business Management, 5(34), 13030-13043.
  • Al-Somali, S. A., Gholami, R., & Clegg, B. (2009). An investigation into the acceptance of online banking in Saudi Arabia. Technovation, 29, 130-141.
  • Argawall, R. J., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204-215.
  • Argawall, R., Sambamurthy, V., & Stair, R. M. (2000). Research report: the evolving relationship between general and specific computer self-efficacy-an empirical assessment. Information Systems Research, 11(4), 418-430.
  • Barclay, D., Higgins, C., & Thompson, R. (1995). The Partial Least Squares (PLS) approach to causal modeling: personal computer adoption and use as an illustration. Technology Studies Special Issue on Research Methodology, 2(2), 285-309.
  • Belanche, D., Casaló, L. V., & Flavián, C. (2010). Providing online public services successfully: the role of confirmation of citizens' expectations. International Review of Public and Nonprofit Marketing, 7, 167-184.
  • Belanger, F., & Carter, L. (2008). Trust and risk in eGovernment adoption. Journal of Strategic Information Systems, 17(2), 165-176.
  • Bertot, J. C., & Jaeger, P. T. (2008). The e-government paradox: better customer service doesn't necessarily cost less. Government Information Quarterly, 25, 149-154.
  • Brown, S. A., Massey, A. P., Montoya-Weiss, M. M., & Burkman, J. R. (2002). Do I really have to? User acceptance of mandated technology. European Journal of Information Systems, 11(4), 283-295.
  • Carter, L., & Belanger, F. (2005). The utilization of e-government services: citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 2-25.
  • Carter, L., & Weerakkody, V. (2008). E-government adoption: a cultural comparison. Information Systems Frontiers, 10(4), 473-483.
  • Cegarra, J. G., Córdoba, J. R., & Moreno, J. L. (2012). E-government and citizen's engagement with local affairs trough e-websites: the case of Spanish municipalities. International Journal of Information Management, 32(5), 469-478.
  • Cegarra Navarro, J. G., Dewhurst, F. W., & Briones Peñalver, A. J. (2007). Factors affecting the use of e-government in the telecommunications industry of Spain. Technnovation, 27, 595-604.
  • Chan, F. K. Y., Thong, J. Y. L., Venkatesh, V., Brown, S. A., Hu, P. J-A., & Tam, K. T. (2010). Modeling citizen satisfaction with mandatory adoption of an e-government technology. Journal of the Association for Information Systems, 11(10), 519-549.
  • Chengalur-Smith, I., & Duchessi, P. (1999). The initiation and adoption of clientserver technology in organizations. Information & Management, 35(2), 77-88.
  • Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295-336). Mahwah, NJ: Lawrence Erlbaum.
  • Compeau, D. R., & Higgins, C. A. (1995a). Computer self-efficacy: development of a measure and initial test. MIS Quarterly, 19, 189-211.
  • Compeau, D. R., & Higgins, C. A. (1995b). Application of social cognitive theory to training for computer skills. Information Systems Research, 6(2), 118-143.
  • Criado, J. I., & Ramilo, M. C. (2003). E-government in practice. An analysis of Web site orientation to the citizens in Spanish municipalities. The International Journal of Public Sector Management, 16(3), 191-218.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
  • Dulle, T. W., & Minishi-Majanja, M. K. (2011). The suitability of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in open access adoption studies. Information Development, 27(1), 32-45.
  • Easingwood, C., & Koustelos, A. (2000). Marketing high technology: preparation, targeting, positioning, execution. Business Horizons, 43(3), 27-34.
  • Easingwood, C., Moxey, S., & Capleton, H. (2006). Bringing high technology to market: succesful strategies employed in the worldwide software industry. Journal of Product Innovation Management, 23(6), 498-511.
  • Falk, R. F., & Miller, N. B. (1992). A Primer for soft modelling. Akron Ohio: University of Akron Press.
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  • Gallego-Álvarez, I., Rodríguez-Domínguez, L., & García-Sánchez, I. M. (2010). Are determining factors of municipal E-government common to a worldwide municipal view? An intra-country comparison. Government Information Quarterly, 27, 423-430.
  • González, R., Gasco, J., & Llopis, J. (2007). E-government success: some principles from a Spanish case study. Industrial Management & Data Systems, 107(6), 845-861.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-151.
  • Hartwick, J., & Barki, H. (1994). Exploring the role of user participation system use. Management Science, 40(4), 785-793.
  • Hernández, B., Jiménez, J., & Martín, M. J. (2010). Business management software in high-tech firma: the case of the IT services sector. Journal of Business & Industrial Marketing, 25(2), 132-146.
  • Hsieh, J. J. P. A., Rai, A., & Keil, M. (2008). Understanding digital inequality: comparing continued use behavioral models of the socio-economically advantaged and disadvantaged. MIS Quarterly, 32(1), 97-126.
  • Islam, M. A., Akkaruzzannon, M., & Ramayah, T. (2011). The adoption of mobile commerce service among employed mobile phone users in Bangladesh: self-efficacy as a moderator. International Business Research, 4(2), 80-89.
  • Koening-Lewis, N., Palmer, A., & Moll, A. (2010). Predicting young consumers'take up of mobile banking services. International Journal of Bank Marketing, 28(5), 410-432.
  • Layne, K., & Lee, J. (2001). Developing fully functional E-Government: a four-stage model. Government Information Quarterly, 18(2), 122-136.
  • 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), 1-14.
  • LeRouge, C., Blanton, J. E., & Kittner, M. (2004). A causal model for using collaborative technologies to facilitate student team projects. Journal of Computer Information Systems, 45(1), 30-37.
  • Loo, W. H., Yeow, P. H. P., & Chong, S. C. (2011). Acceptability of multipurpose smartidentity card: an empirical study. Journal of Global Information Technology, 14(1), 35-58.
  • Medina, C., Rey, M., & Rufín, R. (2012). Education level and e-services adoption: an application to the case of e-government. Sociology and Technoscience, 2(2), 23-43.
  • Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 50-64.
  • Mueller, D., & Strohmeier, S. (2011). Design characteristics of virtual Learning environments: state of research. Computers & Education, 57, 2505-2516.
  • Muñoz-Cañavate, A., & Hípola, P. (2011). Electronic administration in Spain: from its beginnings to the present. Government Information Quarterly, 28(1), 74-90.
  • Pina, V., Torres, L., & Royo, S. (2009). E-government evolution in EU local governments: a comparative perspective. Online Information Review, 33(6), 1137-1168.
  • Reddick, C. G. (2009). The adoption of centralized customer service systems: a survey of local governments. Government Information Quarterly, 26, 219-226.
  • Ringle, C. M., Sarstedt, M., & Mooi, E. A. (2010). S. Robert, S. F. Crone, & S. Lessmann (Eds.), Data mining: annals of information systems (pp. 19-49). Berlin: Springer.
  • Rivera, E. (2006). Concepto y problemas de la construcción del gobierno electrónico. Una revisión de la literatura. Gestión y Política Pública, XV(2), 259-305.
  • Rogers, E. (1995). Diffusion of innovation. New York: Free.
  • Rufín, R., & Medina, C. (2012). Marketing público. Investigación, aplicaciones y estrategias. Madrid: ESIC.
  • Rufín, R., Medina, C., & Sánchez, J. C. (2012). Moderating factors in adopting local e-Government in Spain. Local Government Studies, 38(3), 367-385.
  • Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: a study of U.S. taxpayers'intentions. Computers in Human Behavior, 26, 636-644.
  • Serrano, C., Rueda, M., & Portillo, P. (2008). Determinants of e-government extension. Online Information Review, 33(3), 476-498.
  • Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). E-Government Adoption Model (GAM): differing service maturity levels. Government Information Quarterly, 28, 17-35.
  • Sok, Y., & Chan, F. (2011). Internet banking adoption in Kuala Lumpur: an application of UTAUT model. International Journal of Business and Management, 6(4), 161-167.
  • Van Dijk, J., Peters, O., & Ebbers, W. (2008). Explaining the acceptance and use of government internet services: a multivariate analysis of 2006 survey data in the Netherlands. Government Information Quarterly, 25(3), 379-399.
  • Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
  • Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425-478.
  • Venkatesh, V., & Zhang, X. (2010). Unified theory of acceptance and the use of technology: U.S. vs. China. Journal of Global Information Technology Management, 13(1), 5-27.
  • Verdegem, P., & Verleye, G. (2009). User-centered E-Government in practice: a comprehensive model for measuring user satisfaction. Government Information Quarterly, 26, 487-497.
  • Wang, Y. (2002). The adoption of Electronic Tax Filing Systems: an empirical study. Government Information Quarterly, 20(4), 333-352.
  • Wang, W., & Benbasat, I. (2005). Trust in and adoption of online recommendation agents. Journal of the Association for Information Systems, 6(3), 72-101.
  • Wang, Y.-S., & Shih, Y.-W. (2009). Why do people use information kiosks? A validation of the unified theory of acceptance and use of technology. Government Information Quarterly, 26, 158-165.
  • Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information System Research, 16(1), 85-102.
  • Wu, J., & Lederer, A. (2009). A meta-analysis of the role of environment-based voluntariness in information technology acceptance. MIS Quarterly, 33(2), 419-432.
  • Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 42, 719-729.
  • Zhou, Y. (2008). Voluntary adopters versus forced adopters: integrating the diffusion of innovation theory and the technology acceptance model to study intra-organizational adoption. New Media and Society, 10(3), 475-496.