Advances in Networks

| Peer-Reviewed |

An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework

Received: Mar. 12, 2017    Accepted: Mar. 24, 2017    Published: Nov. 01, 2017
Views:       Downloads:

Share This Article

Abstract

Local e-government is the application of appropriate Information and Communication Technologies (ICTs) at the local government level to improve the administration and provision of local government services to local residents. The purpose of this conceptual framework is to explore the determinants influencing the intention to adopt and use local e-government services. This research will also to seek to differentiate between informational and transactional local e-government services and to examine factors influencing local residents to desire to use either transactional or informational local e-government or both. Factors such as Perceived Usefulness, Perceived Ease of Use, Computer Self-efficacy, Perceived Service Quality, Demographic Factors, Trust in Local Government, Trust in the Internet and Perceived Risk will be investigated. The Technology Acceptance Model (TAM) will be used as the theoretical framework for this study. A well-structured research questionnaire instrument would be developed and administered to 1,000 potential respondents at four different local government jurisdictions in Ghana. The data gathered would be captured and analyzed with SPSS while a further detailed analysis would be conducted using the Structural Equation Modeling (SEM) method.

DOI 10.11648/j.net.20170502.11
Published in Advances in Networks ( Volume 5, Issue 2, November 2017 )
Page(s) 31-39
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

E-government, Local e-government, Public Service Delivery, Local Government, Technology Acceptance Model (TAM)

References
[1] Homburg VM. F (2004). New Public Management and E-Government: Trajectories of a Marriage between Managerial and Technological Reform in Government. Innovations through Information Technology, pp. 664-667.
[2] Rahman, Hakikur. "Local E-Government Management: A Wider Window Of E- Governance". Igi-global.com. N.p., 2016. Web. 5 Nov. 2016.
[3] Tan and Koray Velibeyoglu. "Strengthening The Knowledge-Base Of Cities Through ICT Strategies". Igi-global.com. N.p., 2016. Web. 5 Nov. 2016.
[4] Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intentions, and behavior: An introduction to theory and research. Boston: Addison-Wesley.
[5] Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behavior (pp. 11–39). Heidelberg, Germany: Springer.
[6] Rogers, E. M. (1995). Diffusion of innovations (4th ed.). New York: Free Press.
[7] Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3),425–478.
[8] Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology adoption model: Four longitudinal field studies. Management Science, 46, 186–204.
[9] Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
[10] Gefen, D. (2002). Customer Loyalty in e-Commerce. Jr. of the Association for Information Systems. 3: 27-51.
[11] Taylor, S., & Todd, P. (1995). Understanding Information Technology usage: A test of competing models. Information Systems Research. 6: 144-176.
[12] Gefen, D., Elena, K., & Straub, D. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
[13] Pavlou, P., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115–143.
[14] Fu, J. R., Farn, C. K., & Chao, W. P. (2006). Acceptance of electronic tax filing: A study of taxpayer intentions. Information & Management, 43(1), 109–126.
[15] Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for elearning. Computers & Education, 63, 160–175.
[16] Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45, 359–374.
[17] Al-Gahtani, S. S. (2014). Empirical investigation of e-learning acceptance and assimilation: a structural equation model. Applied Computing and Informatics. http://dx.doi.org/10.1016/j.aci.2014.09.001.
[18] Liu, Y., Li, H., Kostakos, V., Goncalves, J., Hosio, S., & Hu, F. (2014). An empirical investigation of mobile government adoption in rural China: A case study in Zhejiang province. Government Information Quarterly, 31(3), 432–442.
[19] Wang, C. (2014). Antecedents and consequences of perceived value in Mobile Government continuance use: An empirical research in China. Computers in Human Behavior, 34, 140–147.
[20] Al-Hujran, O., Aloudat, A., & Altarawneh, I. (2013). Factors influencing citizen adoption of e-government in developing countries: The case of Jordan. International Journal of Technology and Human Interaction (IJTHI), 9(2), 1–19.
[21] Alomari, M., Woods, P., & Sandhu, K. (2012). Predictors for e-government adoption in Jordan: Deployment of an empirical evaluation based on a citizen-centric approach. Information Technology & People, 25(2), 207–234.
[22] Lin, F., Fofanah, S., & Liang, D. (2011). Assessing citizen adoption of e-government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Quarterly, 28(2), 271–279.
[23] Isaac Kofi Mensah (2017): Citizens’ Readiness to Adopt and Use E-government Services in the City of Harbin, China, International Journal of Public Administration, DOI:10.1080/01900692.2016.1263658. http://dx.doi.org/10.1080/01900692.2016.1263658
[24] Masa’deh, R., Tarhini, A., Mohammed, A. B., & Maqableh, M. (2016). Modeling Factors Affecting Student’s Usage Behaviour of E-Learning Systems in Lebanon. International Journal of Business and Management, 11(2), 299-312. http://dx.doi.org/10.5539/ijbm.v11n2p299
[25] Obeidat, B. Y., Al-Suradi, M., Masa’deh, R., & Tarhini, A. (2016). The Impact of Knowledge Management on Innovation: An Empirical Study on Jordanian Consultancy Firms. Management Research Review, 39(12), 33-52.
[26] Alalwan, A. A., Dwivedi, Y., Rana, N. P., & Williams, M. D. (2016). Consumer adoption of mobile banking in Jordan: Examining the role of usefulness, ease of use, perceived risk and self-efficacy. Journal of Enterprise Information Management, 29(1), 118-139. http://dx.doi.org/10.1108/JEIM-04-2015-0035
[27] Masa’deh, R., Tarhini, A., Al-Dmour, R. H., & Obeidat, B. Y. (2015). Strategic IT-Business Alignment as Managers’ Explorative and Exploitative Strategies. European Scientific Journal, 11(7), 437-457.
[28] Esterhuyse, M., & Scholtz, B. (2016). The Intention to Use E-Learning in Corporations. In Proceedings of the 2nd International Conference on Information Resources Management (pp. 3-18). Cape Town, South Africa.
[29] Ramirez-Anormaliza, R., Sabate, F., & Llinàs-Audet, X. (2016). The acceptance and use of the e-learning systems among the university teachers in Ecuador, In Proceedings of EDULEARN16 Conference (pp. 3666-3674). Barcelona, Spain.
[30] Altamony, H., Tarhini, A., Al-Salti, Z., Gharaibeh, A., & Elyas, T. (2016). The relationship between Change Management Strategy and Successful Enterprise Resource Planning (ERP) Implementations: A Theoretical Perspective. International Journal of Business Management and Economic Research, 7(4), 690-703.
[31] Almajali, D., Masa’deh, R., & Al-Lozi, M. (2016). Determinants of the Actual Use of E-Learning Systems: An Empirical Study on Zarqa University in Jordan. Journal of Social Sciences, 5(2), 172-200.
[32] Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
[33] Bandura, A. (1997). Self-Efficacy: The Exercise of Control (p. 604). New York, W.H. Freeman.
[34] Alenezi, H., Tarhini, A., & Sharma, S. K. (2015). Development of a Quantitative Model to Investigate the Strategic Relationship between Information Quality and E-Government Benefits. Transforming Government: People, Process and Policy, 9(3), 324-351. http://dx.doi.org/10.1108/TG-01-2015-0004
[35] Alalwan, A. A., Dwivedi, Y. K., Rana, N. P., Lal, B., & Williams, M. D. (2015). Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing, 20(2), 145-157. http://dx.doi.org/10.1057/fsm.2015.5.
[36] Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS quarterly, 19(2), 189-211. http://dx.doi.org/10.2307/249688
[37] Marakas, G. M., Mun, Y. Y., & Johnson, R. D. (1998). The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Information systems research, 9(2), 126-163. http://dx.doi.org/10.1287/isre.9.2.126
[38] Guo, Y., & Barnes, S. (2007). Why people buy virtual items in virtual worlds with real money. ACM SIGMIS Database, 38(4), 69-76. http://dx.doi.org/10.1145/1314234.1314247
[39] Yi, M. Y., & Hwang, Y. (2003). Predicting the use of web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, 59(2), 431-449. http://dx.doi.org/10.1016/S1071-5819(03)00114-9
[40] Chang, S. C., & Tung, F. C. (2008). An empirical investigation of students’ behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71-83.
[41] Darawsheh, S., ALshaar, A., Masa’deh, R., & AL-Lozi, M. (2016). The degree of heads of departments at the University of Dammam to practice transformational leadership style from the point of view of the faculty members. Journal of Social Sciences, 5(1), 56-79.
[42] A. Ancarani, “Towards Quality e-Service in the Public Sector: The Evolution of Web Sites in the Local Public Service Sector”, Managing Service Quality, (15:1), 2005, pp. 6-23.
[43] J. Buckley, “E-Service Quality and the Public Sector”, Managing Service Quality, (13:6), 2003, pp. 453-462.
[44] G. Teicher, O. Hughes, and N. Dow, “E-Government: A New Route to Public Sector Quality”, Managing Service Quality, (12:6), 2002, pp. 384-393.
[45] Venkatesh, V. & Morris, M. G. (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24, 115–139.
[46] Chung, J. E., Park, N., Wang, H., Fulk, J., & McLaughlin, M. (2010). Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model. Computers in Human Behavior, 26(6), 1674-1684. http://dx.doi.org/10.1016/j.chb.2010.06.016
[47] King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & Management, 43(6), 740-755. http://dx.doi.org/10.1016/j.im.2006.05.003
[48] Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(2), 92-118. http://dx.doi.org/10.1111/j.1467-8535.2007.00809.x
[49] Sun, H., & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64(3), 53-78. http://dx.doi.org/10.1016/j.ijhcs.2005.04.013
[50] Gefen, D. & Straub, D. W. (1997) Gender differences in perception and adoption of e-mail: an extension to the technology acceptance model. MIS Quarterly, 21, 389–400.
[51] Morris, M. G. & Venkatesh, V. (2000) Age differences in technology adoption decisions: implications for a changing workforce. Personnel Psychology, 53, 375–403.
[52] Igbaria, M. & Parasuraman, S. (1989) Path analytic study of individual characteristics, computer anxiety and attitudes toward microcomputers. Journal of Management, 15, 373–388
[53] Birren, F., Woods, A. & Williams, M. (1980) Behavioral slowing with age: causes, organization, and consequences. In: Aging in the 1980s, Poon, L. W. (ed.), pp.293–308. American Psychological Association, Washington DC, USA.
[54] Thomas, J. C., & Streib, G. (2003). The new face of government: Citizen-initiated contacts in the era of egovernment. Journal of Public Administration Research and Theory, 13(1), 83-102.
[55] Hart-Teeter. (2003). The new e-government equation: Ease, engagement, privacy and protection. Retrieved March 21, 2017, from http://www.cio.gov/documents/egovpoll2003.pdf
[56] Shelley, M., Thrane, L., Shulman, S., Lang, E., Beiser, S., Larson, T., et al. (2004). Digital citizenship. Social Science Computer Review, 22, 256-269.
[57] Mahmood, M. A., Hall, L., & Swanberg, D. L. (2001). Factors affecting information technology usage: A meta-analysis of the empirical literature. Journal of Organizational Computing and Electronic Commerce, 11(2), 107-130. http://dx.doi.org/10.1207/S15327744JOCE1102_02
[58] M. Warkentin, D. Gefen, P.A. Pavlou, and M. Rose, “Encouraging Citizen Adoption of e-Government by Building Trust”, Electronic Markets, (12:3), 2002, pp. 157-162.
[59] Featherman, M.S. and Pavlou, P.A. (2003) Predicting e-Services Adoption: A Perceived Risk Facets Perspective. International Journal of Human-Computer Studies, 59, 451-474. http://dx.doi.org/10.1016/S1071-5819(03)00111-3
[60] D. Gefen, M. Warkentin, P. A. Pavlou, and G. M. Rose, “E-Government Adoption”, Proceedings of the 8th Americas Conference on Information Systems, 569-76. Dallas, Texas, U.S.A., August 9-11, 2002.
[61] J. K. Lee, S. Braynov, H. R. Rao, “Effects of a Public Emergency on Citizens Usage Intention Toward EGovernment: A Study in the Context of War in Iraq”, Proceedings of the 24th International Conference on Information Systems, Seattle, Washington, 2003, pp. 896-902.
[62] C. W. Tan, S. L. Pan, and E. T. K. Lim, “Towards the Restoration of Public Trust in Electronic Governments: A Case Study of the E-Filing System in Singapore”, Proceedings of the 38th Annual Hawaii International Conference on System Sciences, Computer Society Press, 2005, pp. 1-10.
[63] Grandison, T. & Sloman, M. (2000). A Survey of Trust in Internet Applications. IEEE Communications Survey and Tutorials, 3.
[64] Sofia Elena Colesca (2009). Understanding Trust in e-Government. Inzinerine Ekonomika-Engineering Economics(3). 2009 ECONOMICS OF ENGINEERING DECISIONS.
Cite This Article
  • APA Style

    Isaac Kofi Mensah, Mi Jianing. (2017). An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework. Advances in Networks, 5(2), 31-39. https://doi.org/10.11648/j.net.20170502.11

    Copy | Download

    ACS Style

    Isaac Kofi Mensah; Mi Jianing. An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework. Adv. Netw. 2017, 5(2), 31-39. doi: 10.11648/j.net.20170502.11

    Copy | Download

    AMA Style

    Isaac Kofi Mensah, Mi Jianing. An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework. Adv Netw. 2017;5(2):31-39. doi: 10.11648/j.net.20170502.11

    Copy | Download

  • @article{10.11648/j.net.20170502.11,
      author = {Isaac Kofi Mensah and Mi Jianing},
      title = {An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services:  A Conceptual Framework},
      journal = {Advances in Networks},
      volume = {5},
      number = {2},
      pages = {31-39},
      doi = {10.11648/j.net.20170502.11},
      url = {https://doi.org/10.11648/j.net.20170502.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.net.20170502.11},
      abstract = {Local e-government is the application of appropriate Information and Communication Technologies (ICTs) at the local government level to improve the administration and provision of local government services to local residents. The purpose of this conceptual framework is to explore the determinants influencing the intention to adopt and use local e-government services. This research will also to seek to differentiate between informational and transactional local e-government services and to examine factors influencing local residents to desire to use either transactional or informational local e-government or both. Factors such as Perceived Usefulness, Perceived Ease of Use, Computer Self-efficacy, Perceived Service Quality, Demographic Factors, Trust in Local Government, Trust in the Internet and Perceived Risk will be investigated. The Technology Acceptance Model (TAM) will be used as the theoretical framework for this study. A well-structured research questionnaire instrument would be developed and administered to 1,000 potential respondents at four different local government jurisdictions in Ghana. The data gathered would be captured and analyzed with SPSS while a further detailed analysis would be conducted using the Structural Equation Modeling (SEM) method.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services:  A Conceptual Framework
    AU  - Isaac Kofi Mensah
    AU  - Mi Jianing
    Y1  - 2017/11/01
    PY  - 2017
    N1  - https://doi.org/10.11648/j.net.20170502.11
    DO  - 10.11648/j.net.20170502.11
    T2  - Advances in Networks
    JF  - Advances in Networks
    JO  - Advances in Networks
    SP  - 31
    EP  - 39
    PB  - Science Publishing Group
    SN  - 2326-9782
    UR  - https://doi.org/10.11648/j.net.20170502.11
    AB  - Local e-government is the application of appropriate Information and Communication Technologies (ICTs) at the local government level to improve the administration and provision of local government services to local residents. The purpose of this conceptual framework is to explore the determinants influencing the intention to adopt and use local e-government services. This research will also to seek to differentiate between informational and transactional local e-government services and to examine factors influencing local residents to desire to use either transactional or informational local e-government or both. Factors such as Perceived Usefulness, Perceived Ease of Use, Computer Self-efficacy, Perceived Service Quality, Demographic Factors, Trust in Local Government, Trust in the Internet and Perceived Risk will be investigated. The Technology Acceptance Model (TAM) will be used as the theoretical framework for this study. A well-structured research questionnaire instrument would be developed and administered to 1,000 potential respondents at four different local government jurisdictions in Ghana. The data gathered would be captured and analyzed with SPSS while a further detailed analysis would be conducted using the Structural Equation Modeling (SEM) method.
    VL  - 5
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China

  • School of Management, Harbin Institute of Technology, Harbin China

  • Section