CoChat
Sign Up
Cited by 3Technology Adoption and User BehaviourE-Government and Public ServicesHealth, Technology, Consumer Behavior

Hierarchical Order of User Preference Parameters in Adopting M-government Services

Open access
Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, MALAYSIA, Rashed Mohammed Alneyadi, Rashed Hamad, Abdul Hamid, Nor Aziati, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, Parit Raja, Batu Pahat, Johor, MALAYSIA·2021·International Journal of Sustainable Construction Engineering and Technology
DOI 10.30880/ijscet.2021.12.05.022
Open this paper in CoChat — free accountOpen PDF

Abstract

United Arab Emirates (UAE) has taken continuous initiatives to ease in providing the government services. One of the initiatives is the M-government service but unfortunately, the rate of adopting the M-government service by the people is low. Thus, the government strives for improving the existing system and attracting the people towards the usage of M-government services. This study focused on identifying the common preferences of the people for adopting M-government services. Literature review found 30 people preference parameters and clustered into 6 groups which are Social Influence (SI), Perceived Compatibility (PC), Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Trust in Technology (TT) and Perceived Risk (PR). These preferences were used in the questionnaire development. The questionnaire was distributed randomly amongst the general public however only 263 completed questionnaire forms were received. The collected data from this survey was assessed for normality and multicollinearity and the finding indicated that the data was normal and had no major collinearity, hence the results obtained with the collected data can be generalized. The data was further analysed and found that the people of UAE have chosen the top public’s preference belong to the Social Influence category. While the highly agreed parameters are “people who are important to me would find using M-services beneficial” and “gives social comfort to all users”. From the findings of this study, it may benefit the government to take appropriate actions for the public interest towards the adoption of M-government services like devising strategies and mechanism to promote the M-government services in UAE.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.30880/ijscet.2021.12.05.022

Cites

49 of 49 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • AI-driven decision-support systems process real-time data to offer commanders actionable insights for more informed decision-making.

    “These systems leverage machine learning algorithms to process real-time data from multiple sources, offering commanders actionable insights that facilitate more informed decision-making.”

    From Enhancing Operational Effectiveness in Security and Defence within the UAE: The Strategic Role of Artificial Intelligence (2025) · cites this paper as Alneyadi, Hamid, & Abdul, Hierarchical Order of User Preference Parameters in Adopting M-government Services, 2021

    The Literature Review discusses UAE mobile-government services and says they can improve the use of information in decision-making. It does not address AI or machine-learning systems processing real-time data from multiple sources for commanders; searches for those terms found no relevant passage. No page number was provided in our copy. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

2 of the 51 references couldn’t be matched to a known paper.

Research works printed but not linked: 12

  1. Abdelhafez, H. A. (2014), "E-government in selected Arab countries: Analysis and hallenges", Egyptian Computer Science Journal, Vol. 38, No. 2, pp. 67-84.
  2. Alsaif, M. (2013), "Factors affecting people' adoption of E-government moderated by socio-cultural values in Saudi Arabia", Unpublished doctorate dissertation, University of Birmingham, UK.
  3. Aurthur, C. (2013), "Smartphones will replace the personal computer", In R. Espejo (Ed.), Smartphone. Detroit: Greenhaven Press.
  4. Dimitrova, D. V. and Chen, Y. C. (2006), "Profiling the adopters of e-government information and services: the influence of psychological characteristics, civic mindedness, and information channels", Social Science Computer Review, Vol. 24, No. 2, pp. 172-188.
  5. Mustafa, A. and Mansour, E. (2008), "The impact of privatization on the United Arab Emirates (UAE) federal public sector", International Public Management Review, Vol. 9, No. 2, pp. 66-89.
  6. Pallant, J. (2011), "A step by step guide to data analysis using the SPSS program: Survival manual", 4 th ed., McGraw- Hill, Berkshire.
  7. Phang, C., Sunanto, J., Kankanhalli, A., Li, Y., Tan, B., and Teo, H. (2006), "Senior people' acceptance of information systems: A study in the context of e-government services", IEEE Transactions on Engineering Management, Vol. 53, No. 4, pp. 555-569.
  8. Salkind, N. J. (2000), "Exploring research", Prentice Hall Upper Saddle River, N.J Saunders, M., Lewis, P., and Thornhill, A. (2009), "Research methods for business students", London: Pearson Education.
  9. Venkatesh, V., Chan, F. K., and Thong, J.Y. (2012), "Designing e-government services: Key service attributes and people' preference structures", Journal of Operations Management, Vol. 30, No. 1, pp. 116-133.
  10. Wei, X. and Zhao, J. (2005), "People' requirement analysis in Chinese e-government", ACM International Conference Proceeding Series. Vol.113.
  11. Yakubu, Y. (2019), "Contextual challenges of planning and implementing e-governance in Nigeria", International Journal of Current Innovations in Advanced Research, Vol. 2, No. 5, pp. 1-5.
  12. Zhao, F. and Waxin, M. (2012), "Key issues and challenges in e-government development: An integrative case study of the number one eCity in the Arab world", Information Technology and People, Vol. 25, No. 4, pp. 395 -422.

Cited by

Sorted by citations

Related

Authors
Faculty of Technology Management and Business, U. T. H. O. M., Rashed Mohammed Alneyadi, R. H., Abdul Hamid, N. A., & Faculty of Technology Management and Business, U. T. H. O. M.
Venue
International Journal of Sustainable Construction Engineering and Technology
Publisher
Penerbit UTHM
Published
2021-12-31
Volume
12
Issue
5
ISSN
  • 2180-3242 (ISSN-L)
  • 2600-7959
DOI
10.30880/ijscet.2021.12.05.022
OpenAlex
W4226181059
Cited by
2
References
51
Citations by year
2024: 1 · 2023: 1
FWCI
0.43
Type
journal article
Language
en
Open access
Licence
cc-by-nc-sa
Locations
  • International Journal of Sustainable Construction Engineering Technology (publishedVersion, cc-by-nc-sa)
  • International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia) (acceptedVersion)
Funders
Universiti Tun Hussein Onn Malaysia
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
technology acceptance, social influence, perceived compatibility, perceived ease of use, perceived usefulness, trust in technology, risk perception, United Arab Emirates

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