CoChat
Sign Up
Cited by 36E-Government and Public ServicesTechnology Adoption and User BehaviourHealth, Technology, Consumer Behavior

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Malaysian urban poor adoption of e-government applications and their satisfaction

Open access
Shuib, Liyana, Yadegaridehkordi, Elaheh, Ainin, Sulaiman·2019·Cogent Social Sciences
DOI 10.1080/23311886.2019.1565293
Open this paper in CoChat — free account

Abstract

The aim of this research is to examine factors that influence citizens’ adoption of the e-government applications in Malaysia. In addition, their satisfaction is also analyzed. The research model was developed based on the integration of the Technology Acceptance Model and Diffusion of Innovation as well as trust in the government, information quality, computer self-efficacy, and customer satisfaction constructs regarding e-government applications in Malaysia. The data was collected using a Likert-scale questionnaire from 801 Malaysian urban poor citizens. Results revealed that compatibility, relative advantage, image, trust in the government, computer self-efficacy, and customer satisfaction have significant impacts on the use of e-government applications. In turn, customer satisfaction was itself positively influenced by the use of e-government applications. This research has provided in-depth understanding of critical factors in enhancing adoption and citizens’ satisfaction with e-government applications.

Overview

Integrity signals

Registry

Crossref · 10.1080/23311886.2019.1565293

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Show all 2 references

Research works printed but not linked: 53

  1. 10.1016/j.tele.2016.05.001 · DOI
  2. Ahmad, M., & Othman, R. (2007). Implementation of electronic government in Malaysia: The status and potential for better service to the public. Public Sector ICT Management Review, 1(1), 2–10.
  3. Alawadhi S. & Morris A. (2008). The use of the UTAUT model in the adoption of e-government services in Kuwait . In Proceedings of the 41st Hawaii international conference on system sciences IEEE Computer Society Washington DC USA. · DOI
  4. 10.1016/j.chb.2015.06.025 · DOI
  5. 10.1016/j.ibusrev.2016.06.004 · DOI
  6. Babin, B., Hair, J. F., Hair, J., Anderson, R., & Black, W. C. (2010). Multivariate data analysis: A global perspective (7th ed.). New Jersey: Prentice Hall PTR.
  7. 10.1016/j.cede.2012.04.004 · DOI
  8. 10.1002/(ISSN)1681-4835 · DOI
  9. 10.1111/isj.2005.15.issue-1 · DOI
  10. 10.1080/10580530.2016.1155948 · DOI
  11. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In A. M. George (Ed.), Modern methods for business research (pp.295–336). New York, NY: Lawrence Erlbaum Associates.
  12. 10.1108/17410390510624025 · DOI
  13. 10.22201/icat.16656423.2008.6.03.526 · DOI
  14. 10.2307/249688 · DOI · Paper page
  15. Cronbach, L. (1971). Test validation. Educational Measurement, Issues and Practice, 2, 443–507.
  16. 10.1287/mnsc.35.8.982 · DOI · Paper page
  17. 10.1016/j.ijinfomgt.2012.10.008 · DOI
  18. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research (JMR), 34(2), 161–188.
  19. 10.17705/1CAIS.00407 · DOI · Paper page
  20. 10.1016/S0378-7206(01)00127-6 · DOI
  21. Hair, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM) (1st ed.). London: SAGE Publication.
  22. Hair, J. F., Jr, Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling. Thousand Oaks, CA: Sage.
  23. Hoyle, R. H. (1999). Structural equation modeling analysis with small samples using partial least squares. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 307–341). London: Sage Publications.
  24. 10.1016/j.giq.2012.07.008 · DOI
  25. 10.1108/JSIT-01-2017-0007 · DOI
  26. Kamaruddin, K., & Noor, N. L. (2017). From e-government to t-government: A Malaysian citizens’ readiness study. Journal of Telecommunication, Electronic and Computer Engineering, 9(2–9), 15–21.
  27. Karavasilis I. Zafiropoulos K. & Vrana V. (2010). Extending TAM to understand E-governance adoption by teachers in Greece. Communications in Computer and Information Science 112 57–68. · DOI
  28. 10.1108/DPRG-07-2017-0040 · DOI
  29. Kumar, V., Mukerji, B., Butt, I., & Persaud, A. (2007). Factors for successful e-government adoption: A conceptual framework. Electronic Journal of e-Government, 5(1), 63–76.
  30. 10.1016/j.tele.2017.01.003 · DOI
  31. 10.1016/j.ijinfomgt.2009.03.012 · DOI
  32. 10.1016/j.giq.2010.09.004 · DOI
  33. 10.1016/j.giq.2014.02.008 · DOI
  34. 10.2307/23044045 · DOI · Paper page
  35. 10.1287/isre.2.3.192 · DOI · Paper page
  36. Othman, Y. (1997). MSC and the vision on electronic government. In Proceedings of the National Symposium on Electronic Government, Kuala Lumpur, 18.
  37. 10.1007/s10796-013-9431-z · DOI
  38. 10.1108/17506161211251263 · DOI
  39. Rogers, E. (1995). Diffusion of Innovations (4th ed.). New York: The Free Press.
  40. 10.1177/1461444818799632 · DOI
  41. 10.1016/j.giq.2010.05.006 · DOI · Paper page
  42. 10.1016/j.giq.2011.04.002 · DOI
  43. 10.17705/1CAIS.01324 · DOI · Paper page
  44. Sun, Y., Wang, N., Guo, X., & Peng, Z. (2013). Understanding the acceptance of mobile health services: A comparison and integration of alternative models. Journal of Electronic Commerce Research, 14(2), 183.
  45. 10.1016/j.giq.2013.05.010 · DOI
  46. 10.2307/30036540 · DOI · Paper page
  47. 10.2307/41410412 · DOI · Paper page
  48. 10.1016/j.elerap.2018.05.012 · DOI
  49. 10.1016/j.giq.2007.06.002 · DOI
  50. Wangpipatwong, S., Chutimaskul, W., & Papasratorn, B. (2008). Understanding citizen’s continuance intention to use e-government website: A composite view of technology acceptance model and computer self-efficacy. Electronic Journal of e-Government, 6(1), 55–64.
  51. 10.1016/j.giq.2018.03.007 · DOI
  52. 10.1177/0020852315599047 · DOI · Paper page
  53. 10.18517/ijaseit.7.1.1614 · DOI

Cited by

Sorted by citations

See all 36

Metadata

Authors
Shuib, L., Yadegaridehkordi, E., & Ainin, S.
Affiliations
  • University of Malaya (MY)
  • Department of Operations and Management Information Systems, Faculty of Business and Accountancy, University of Malaya, 50603 Kuala Lumpur, Malaysia
ORCID
Venue
Cogent Social Sciences
Publisher
Informa UK Limited
Published
2019-01
Volume
5
Issue
1
ISSN
2331-1886 (ISSN-L)
DOI
10.1080/23311886.2019.1565293
OpenAlex
W2908450298
Cited by
36
References
2
Citations by year
2026: 2 · 2025: 4 · 2024: 7 · 2023: 9 · 2022: 7 · 2021: 2 · 2020: 4 · 2019: 1
FWCI
14.81
Type
journal article
Language
en
Open access
Licence
Locations
  • Cogent Social Sciences (publishedVersion, cc-by)
  • The University of Malaya Research Repository (University of Malaya) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
University of Malaya (RP032C-16SBS)
Topics
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
e-government adoption, e-government applications, urban poor, citizen satisfaction, technology acceptance model, diffusion of innovations, public trust in government, information quality, computer self-efficacy, compatibility, relative advantage, images, Malaysia

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review