Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Utafiti wa Kuridhika kwa Raia× | Mkusanyiko wa Kipimo cha Uthibitishaji wa E-Serikali× | |
|---|---|---|
| Nyanja | Usimamizi wa Utalii | Usimamizi wa Utalii |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1996 | 2000 |
| Mwanzilishi≠ | Fornell, C.; James, O. | Venkatesh, V.; Belanger, F.; Carter, L. |
| Aina≠ | Self-report survey | Self-report questionnaire |
| Chanzo asilia≠ | Nasco, S. A., Cleveland, M., & Laroche, M. (2010). Evaluating the public sector customer satisfaction construct in the context of public transit service. Journal of Public Sector Management, 23(2), 97-113. link ↗ | 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 ↗ |
| Majina mbadala≠ | CSS, Public Satisfaction Index, Citizen Service Satisfaction | EGAS, e-Government Service Adoption |
| Zinazohusiana | 5 | 5 |
| Muhtasari≠ | The Citizen Satisfaction Survey (CSS) measures public satisfaction with government services, infrastructure, and institutions across multiple dimensions (access, responsiveness, quality, fairness, transparency). Rooted in expectancy-disconfirmation theory (James, 2009) and the American Customer Satisfaction Index (Fornell et al., 1996), the CSS operationalizes citizen satisfaction as a key accountability metric and driver of institutional legitimacy. Essential for government agencies, public utilities, and civic institutions seeking to monitor service performance, identify improvement priorities, and demonstrate responsiveness to public needs. | 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. |
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