Showing papers in "JeDEM: eJournal of eDemocracy and Open Government in 2021"
TL;DR: In this article, the authors conducted an exploratory multiple-case study of four OGD ecosystems with diverse characteristics, using a qualitative research approach, and presented a conceptual model that highlights different attributes of OGDs ecosystems that may help public entities in designing and orchestrating new or existing OGDs.
Abstract: Open Government Data (OGD) is an important driver for open innovation among public entities. However, extant research highlights a need for improved feedback loops, collaboration, and a more demand-driven publication of OGD. In this study, we explore how public platform providers can address this issue by enabling collaboration within OGD ecosystems, both in terms of the OGD, and any related Open Source Software (OSS) and standards. We conducted an exploratory multiple-case study of four OGD ecosystems with diverse characteristics, using a qualitative research approach. Based on the cases, we present a conceptual model that highlights different attributes of OGD ecosystems that may help public entities in designing and orchestrating new or existing OGD ecosystems. We conclude that enabling collaboration in an OGD ecosystem is a complex exercise yet believe that it offers ways for public entities in how they can leverage open innovation to address their goals and directives.
6 citations
TL;DR: In this article, the benefits and challenges of wider adoption of machine learning applications in the public sector and to propose the direc-tions for future research are identified. But most of them focus on the technical aspects or pri-vate sector use.
Abstract: The unprecedented increase in computing power and data availability has signifi-cantly altered the way and the scope that organizations make decisions relying on technologies. There is a conspicuous trend that organizations are seeking the use of frontier technologies with the purpose of helping the delivery of services and making day-to-day operational deci-sions. Machine learning (ML) is the fastest growing and at the same time, the most debated and controversial of these technologies. Although there is a great deal of research in the literature related to machine learning applications, most of them focus on the technical aspects or pri-vate sector use. The governmental machine learning applications suffer the lack of theoretical and empirical studies and unclear governance framework. This paper reviews the literature on the use of machine learning by government, aiming to identify the benefits and challenges of wider adoption of machine learning applications in the public sector and to propose the direc-tions for future research.
5 citations
TL;DR: In this paper, the authors used data from in-depth interviews with fifteen public officials in Indonesia to better understand the role of leadership in inter-agency collaboration and information sharing initiatives, and found that informal leaders are not as influential to the success of IIS initiatives as formal ones, due to the influence of organizational culture.
Abstract: Previous studies have identified leadership as an essential factor influencing inter-agency collaboration and information sharing in government settings. This study argues that some unique characteristics of inter-agency information sharing (IIS) initiatives across different jurisdictions and levels of government call for particular types of leadership. Specifically, this study uses data from in-depth interviews with fifteen public officials in Indonesia to better understand the role of leadership in inter-agency collaboration and information sharing initiatives. Findings from the interviews support two leadership mechanisms influencing IIS in Indonesia: executive involvement and exercise of formal authority, whereas the role of informal leaders seems to be less important in this case. It seems that in some developing countries such as Indonesia, informal leaders are not as influential to the success of IIS initiatives as formal ones, due to the influence of organizational culture.
1 citations
TL;DR: In this paper, the authors proposed the "Four-Forces Framework of Democracy" and their drivers to understand the necessity of intertwining Democracy and e-Democracy for the success of institutionalization of e-democracy.
Abstract: This conceptual paper attempts to understand the necessity of intertwining Democracy and e-Democracy for the success of institutionalization of e-Democracy. In this respect, it proposes the "Four-Forces Framework of Democracy" and their Drivers. The paper also explores the challenges that e-Democracy may face in its growth and evolution, highlights the risks involved in ignoring the challenges, and suggests the future direction. In the present scenario, there is a considerable push for Information and Communication Technology (ICT). The paper discusses whether this will lead to the strengthening of people's voice and empowerment of the individual and collective aspirations. Societies in their evolution develop cultural contexts, social and ethnic values. It is a challenge for any e-Democracy to integrate them into its mechanisms. In the Indian context, it is essential to develop foresight on how e-Democracy gears-up to also address various contradictions and conflicts, which are possible due to the digital-divide, multitude of people's aspirations, socio-cultural diversity, space for democratic thinking, etc. Keeping many aspects of Democracy and governance into consideration, the paper focuses on how ICT and e-Democracy will honour people's aspirations in the coming years, to keep the public, individual, and society, vibrant and democratically functioning.
TL;DR: This article investigated the relationship between subjective social network heterogeneity and political expression empirically, through an analysis of original survey data from Japan and South Korea, and found that differences between the political views of an individual and the perceived political view of the imagined audience depresses political expression on social media in both countries, but that variance in the perceived views of the perceived audience is positively associated with political expression.
Abstract: Approaches to social network heterogeneity in political communication research tend to focus on the effect of accumulated interactions among individuals with different political views. This line of research has provided a number of rich insights into the nature of the relationship between sociality and political participation. At the same time, this research tradition has been hampered by inconsistent terminology, and it has not been updated to reflect the fact that the experience of engaging with politics through digital media produces a unique subjective experience wherein the user is made to address an imagined audience with a perceived set of characteristics. In this study I aim to accomplish three main objectives. First, I propose an adjustment to the conceptual framework used in the literature. Second, I introduce the concept of subjective social network heterogeneity to describe perceived heterogeneity in the political views of the imagined audience. Third, I investigate the relationship between subjective social network heterogeneity and political expression empirically, through an analysis of original survey data from Japan and South Korea. The results show that differences between the political views of an individual and the perceived political views of the imagined audience depresses political expression on social media in both countries, but that variance in the perceived views of the imagined audience is positively associated with political expression.