Zobrazeno 1 - 10
of 306
pro vyhledávání: '"Ramon Gil-Garcia"'
Publikováno v:
JeDEM - eJournal of eDemocracy & Open Government, Vol 13, Iss 1 (2021)
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) ini
Externí odkaz:
https://doaj.org/article/3f957e4037914858975fd8c55fbf81b4
Autor:
Yi Long, J. Ramon Gil-Garcia
Publikováno v:
International Journal of Electronic Government Research. 19:1-20
Many countries are exploring the potential of artificial intelligence (AI) to improve their operations and services, and China is no exception. However, not all AI techniques or automation approaches are suitable for every government service or proce
Publikováno v:
JeDEM - eJournal of eDemocracy & Open Government, Vol 10, Iss 1, Pp 1-22 (2018)
Previous studies have infrequently addressed the dynamic interactions among social, technical, and organizational variables in open government data initiatives. In addition, organization level models have neglected to explain the role of management i
Externí odkaz:
https://doaj.org/article/7cbf7178fa4544d088e0de9e227a7dab
Publikováno v:
Information Polity. 27:473-490
In order to improve legitimacy, accountability and effectiveness for both policy making and service delivery, governance networks can benefit from the knowledge, skills and other key resources of external actors. However, these networks are often pro
Publikováno v:
The Library Quarterly. 92:419-436
Publikováno v:
Transforming Government: People, Process and Policy. 16:405-417
Purpose Local governments face increasingly complex challenges related to their internal operations as well as the provision of public services. However, research on how they embrace evidence-based approaches such as data analytics practices, which c
Autor:
Yongjin Choi, J. Ramon Gil-Garcia
Objective. To assess the potential of using machine learning and administrative birth data for predicting premature births. Design. The performance of ordinary least square (OLS) and deep neural network (DNN) classifiers for predicting low birth weig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40961320c79347616b416b44ed8ad57d
https://doi.org/10.22541/au.168310637.76115942/v1
https://doi.org/10.22541/au.168310637.76115942/v1
Publikováno v:
Journal of Smart Cities and Society. 1:135-148
In the last decade, the world has witnessed increasing investments in smart city initiatives, which frequently employ data and emerging technologies to tackle complex urban challenges. Although existing literature has acknowledged the potential benef
Akademický článek
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Publikováno v:
International Journal of Electronic Government Research. 18:1-18
Creating public value is becoming increasingly important for digital government projects. This article proposes and tests a research model to improve our understanding of how value is created. Using a survey and structural equation modeling, this res