Effect of E-Government Based Service Delivery on Customers’ Satisfaction

The Case of Addis Ababa City Administration Vital Events Registration Agency

Ashenafi Tola

• Publisher: GRIN Verlag
• Year: 2020
• Edition: 1
• eBook ISBN:
  9783346235251
• Topic: Business
• Subtopic: Organisational Behaviour
• Index: Business

Master's Thesis from the year 2020 in the subject Organisation and administration - Public administration, grade: 4/4, Ethiopian Civil Service University (Leadership and Good Governance), course: Thesis, language: English, abstract: The general objective of this study is mainly to examine the effect of e-government based service delivery on customers' satisfaction in the case of Addis Ababa city Administration vital events registration agency. It answers the following questions: What is the level of quality of e-government based services delivery in AAVERA? Do E-Government factors affect customers' perception of service quality in Addis Ababa Vital Events Registration Agency? Is the perceived service delivery a significant predictor of customers'/citizens' satisfaction? What challenges and additional measures can be taken to improve the E-Government service delivery in Addis Ababa vital events registration agency? The emergence of electronic government both in practice and in concept has been one of the important developments in public administration in the past ten years. It seems to be the next generation of the development in the public sectors. To greater extent governments around the world are introducing e-government as a means of reducing costs, improving services for citizens and increasing effectiveness and efficiency at national, regional and local levels of the public sector. This research mainly examined the effect of e-government based service delivery on customers' satisfaction in Addis Ababa Vital Events Registration Agency by using TAM and SERVQUAL Models. Convergent parallel mixed research design was adopted to guide the study with both quantitative and qualitative data. Quantitative data was analyzed by using Standardized multiple regressions Model (ANOVA and correlation coefficient) and Binary Logistic regression model was used to test the hypotheses. Qualitative data were analyzed using five steps (Compiling, disassembling, reassembling, interpreting and concluding) of data. All data were gained from questionnaire, key informants interview, focus group discussion and secondary data to achieve its objective.