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

Abstract

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.

Effects of Application of Information on the Expectations of Benefits from GaaP: Moderating Effects from Perceptions of IIT

“…The influence and pressure from leaders to adopt innovation reduce the risk of adoption and uncertainty, because they provide strong evidence indicating the legitimacy and appropriateness of the adoption decision [53], due to the hierarchical culture that pursues vertical communication, a top-down approach, and direction from the government, such as a national strategy for IIT. Although GaaP is not yet a universal term in the public sector, various plans by governments have suggested an IIT-based nextgeneration government model similar to GaaP that suggested work efficiency with IIT, open data, stakeholder engagement, and the creation of tailored services or policies [10,21,27]. Secondly, in terms of moderating effect, the interaction term with relation and leadership IIT shows negative effect on intelligent GaaP in spite of positive effect of each relation and leadership IIT for intelligent GaaP.…”

“…The series of processes in GaaP can improve citizens' needs and cooperation with each stakeholder, innovative outcomes, transparency, and even trust. In the meantime, most GaaP studies have focused on concept, case, and framework research, so there is a need to conduct empirical research on how to promote GaaP in the public sector [8][9][10][11][12][13][14][15][16][17][18][19][20][21]. This study utilizes the perception of information use and the perception of IIT use as independent variables for the expectation of benefits from GaaP and the perception of IIT as a moderating variable between the independent and dependent variables.…”

“…proved that a positive perception for information affects high information use. Since GaaP pursues openness and utilization of information for innovative outcomes [8,10,14,21], we postulate that positive perception for information can influence high expectations of GaaP. Second, according to previous GaaP studies, we assumed that a high perception of IIT was positively related to the perception of information and GaaP.…”

“…Second, according to previous GaaP studies, we assumed that a high perception of IIT was positively related to the perception of information and GaaP. Since IIT can contribute to gathering, analyzing, and utilizing information, the use of IIT has been increased in the age of digital transformation that utilized information as crude oil [1,10,21]. Therefore, we utilized the perception of IIT as a moderating variable.…”

Government Data Performance: The Roles of Technology, Government Capacity, and Globalization through the Effects of National Innovativeness

“…In addition, OGD enables the government, citizens, businesses, and researchers to understand various public and social problems in a novel way and allows the government to use advanced and emerging information technologies (e.g., big data analytics, machine learning, and artificial intelligence) to facilitate a more effective and efficient government decision-making process. The open nature of OGD can promote citizen participation, government transparency, and service delivery [1][2][3][4][5][6][7][8] as key paths to sustainable development [9][10][11][12].…”