Understanding citizen intention to use m-government services: an empirical study in the UAE

A Case Of Affordances-Collaborative Governance Using Smartphones

This study attempts to explore the contextual factors that play a significant role in promoting collaborative governance using mobile phones in developing countries. The study utilises review of academic literature and experts’ opinion to identify critical conversion factors and their interrelationship. Affordance Theory is used as a theoretical lens to identify eight significant factors covering development of infrastructure, citizen up-skilling, cost of access, ease of use, reliable infrastructure, ensured privacy & security, process accountability and a standardised m-governance policy. A combination of Total Interpretative Structure Modelling (TISM) and Cross-impact matrix multiplication applied to classification (MICMAC) analysis is employed to prioritise these conversion factors and classify them based on their dependence and driving power. A priority-based hierarchical model is proposed for establishing a sustainable m-governance ecosystem.

Determinant Factors for Adoption of Government as a Platform in South Korea: Mediating Effects on the Perception of Intelligent Information Technology

This study aims to shed light on determinant factors for the introduction of Government as a Platform (GaaP) by public officers who can be platform providers or main stakeholders in GaaP. It focuses on public officers in 261 Korean public agencies. In order to verify the research model’s hypotheses, we take advantage of Structural Equation Modeling and the Technology Acceptance Model. As a first result, concerning the direct effect on GaaP, the quality of open data, the scope of the stakeholders, and attitudes to civic engagement have a positive relationship on the perceived usefulness of Intelligent Information Technology (IIT). Second, in terms of the effect of IIT on GaaP, the perceived usefulness of IIT mediates positively on the intention to adopt GaaP based on the quality of open data, the scope of the stakeholders, and attitudes towards civic engagement. Based on these results, policy implications can be described as follows. Besides managing internal open data, governments should actively mine new open data that can create added value for innovation. They need to create an easily cooperative environment with other stakeholders, especially non-public participants, and governments should encourage public officers to more actively accept and utilize IIT in their jobs.