E-Government Adoption Scale
E-Government Adoption Scale (EGAS) · Also known as: EGAS, e-Government Service Adoption
The E-Government Adoption Scale (EGAS) measures citizens' willingness to adopt and use digital government services (e-permits, e-tax, e-voting, e-tourism information services, online licensing) based on Technology Acceptance Model principles (Venkatesh & Davis, 2000) extended to government contexts (Belanger et al., 2005). It operationalizes key adoption drivers: perceived usefulness, ease of use, trust in government, security concerns, and technical support. Essential for government agencies, tourism authorities, and public service digital transformation initiatives seeking to understand and overcome citizen barriers to e-service adoption.
Read the full method
Sign in with a free account to read this section.
Method map
The neighbourhood of related methods — select a node to explore.
When to use it
Conduct adoption research before launching e-government initiative to understand citizen attitudes and identify key adoption barriers. Deploy post-launch to track adoption rate trends and diagnose why adoption lags expectations (identify bottleneck dimension). Compare adoption drivers across demographic groups (age, education, income, rural/urban) to reveal vulnerable populations requiring targeted support. Use adoption scores alongside actual usage data (proportion of eligible citizens using service, transaction volume) to correlate perceptual drivers with behavioral outcomes. Measure before/after interventions (usability improvements, trust-building campaigns, digital literacy programs) to quantify impact.
Strengths & limitations
- Theory-grounded in TAM: Technology Acceptance Model is extensively validated; EGAS applies proven framework specifically to government services, enabling comparison with commercial technology adoption benchmarks.
- Holistic barrier identification: captures not only technical factors (ease of use) but psychological (trust, security concern) and contextual factors (access, literacy), enabling comprehensive remediation.
- Equity lens: disaggregates adoption by demographic group, revealing digital divides; enables targeted inclusion programs addressing barriers for elderly, rural, or low-literacy populations.
- Actionable diagnosis: poor adoption can be pinpointed to specific dimensions (usefulness? ease? trust?), guiding investment allocation toward highest-impact interventions.
- Intention–behavior gap: stated adoption intention often exceeds actual usage; high intention scores do not guarantee service uptake; track actual usage alongside intention.
- Measurement timing bias: post-adoption surveys (users who already adopted) suffer selection bias; non-users are underrepresented; recruit non-users actively to assess barriers to trial.
- Technology novelty effect: new e-services show temporarily high perceived usefulness and ease (novelty effect); sustained adoption depends on ongoing service quality; measure longitudinally.
- External credibility: government distrust in some populations (minorities, marginalized communities) may resist e-services regardless of technical quality due to institutional mistrust; trust barriers require deeper institutional change beyond digital design.
Frequently asked
Should I measure adoption intention or actual adoption behavior?
Ideally both. Intention measurement (survey of target population) is cost-effective and captures attitudes before service trial. Actual behavior (usage logs, transaction data) confirms real adoption. Discrepancies reveal barriers converting intention to action. If resources are limited, prioritize actual behavioral measurement; stated intentions often inflate actual behavior.
How do I measure adoption among non-users who have not interacted with the service?
Hypothetical measurement: describe the service, show a prototype/demo, then measure adoption intention. This captures barriers to trial (awareness, perceived usefulness). Follow up with actual users to identify trial-to-adoption conversion issues. Combine both perspectives to diagnose whether problem is awareness, perceived usefulness, or sustained use.
What is an acceptable adoption rate for e-government services?
Context-dependent. Voluntary services (information, applications) may see 20–40% adoption among eligible citizens. Mandatory services (tax filing) can achieve 60–90% adoption. Compare against peer agencies/governments with similar service scope. Track adoption rate longitudinally; growth over 6–12 months indicates successful launch; stagnation suggests barriers remain.
How do I address low trust in government as adoption barrier?
Multi-pronged approach: (1) institutional credibility—publicize cybersecurity certifications, third-party security audits, transparency reports; (2) social proof—feature citizen testimonials, media coverage of safe usage; (3) privacy assurance—clearly communicate data protection policies, retention limits, and rights; (4) gradual trust-building—offer low-risk initial transactions (non-financial) before higher-stakes transactions. Trust building is slow; expect 6–12 month timelines for measurable movement.
Sources
- Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204. DOI: 10.1287/mnsc.46.2.186.11926 ↗
- Belanger, F., Carter, L., & Casper, J. (2005). Citizen adoption of e-government services. Proceedings of the 38th Hawaii International Conference on System Sciences, 109c. link ↗
- Alomari, M., Sandhu, K., & Woods, P. (2012). Exploring citizen perceptions of barriers and drivers influencing the adoption of e-government services. Journal of Cases on Information Technology, 14(4), 36-48. link ↗
- Oliveira, T., Martins, R., Sarker, S., & Thomas, M. (2016). Information and communication technology adoption across the global south. Journal of Global Information Management, 24(2), 1-22. link ↗
How to cite this page
ScholarGate. (2026, June 3). E-Government Adoption Scale (EGAS). ScholarGate. https://scholargate.app/en/tourism-management/e-government-adoption-scale
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Citizen Satisfaction SurveyTourism Management↔ compare
- Destination Image ScaleTourism Management↔ compare
- Perceived Value Scale for TourismTourism Management↔ compare
- Public Service Motivation ScaleTourism Management↔ compare
- Tourist Satisfaction ScaleTourism Management↔ compare