Factors Influencing User Perception and Adoption of E-Government Services

Abstract

The objective of this study is to investigate and determine factors influencing user perception and acceptance of electronic government services in the context of technological advancements. The research focuses on classifying the main features of e-administrative systems with an emphasis on user satisfaction by integrating both traditional and modern data analysis techniques. Structural Equation Modelling (SEM), machine learning (ML) techniques, and multi-criteria decision-making (MCDM) methods have been applied to survey data to uncover the interdependencies between variables from the perspective of online users. The developed models discover and explain the underlying relationships in user attitudes towards e-government services. As the perception of customer satisfaction is subjective and dynamic, stakeholders should conduct regular measurements and data analysis to ensure continuous improvement of e-public services.

Unlocking the Power of Data: Effective Data-Driven Marketing Strategies to Engage Millennial Consumers

“…The current body of research highlights the significant value of ethical handling of data and privacy concerns in data-driven marketing strategies aimed at engaging with millennials. Studies by Yu et al (2022) and Ilieva et al (2024) offer important perspectives on how transparency, consent, and data security are integral in establishing trust and reliability among millennial customers. Furthermore, these works stress the importance of maintaining ethical standards when dealing with consumer data within marketing campaigns directed at this demographic.…”