期刊信息

Transforming Government: People, Process and Policy

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影响因子:
2.6
出版商:
Emerald
ISSN:
1750-6166
浏览:
14608
关注:
0

征稿

Transforming Government: People, Process and Policy is an academic journal published by Emerald. (ISSN 1750-6166, impact factor 2.6).

Transforming Government: People, Process and Policy is an international peer-reviewed journal that publishes inter- and multi-disciplinary, agile, concept- and practice-driven research on the broadly defined subject of transforming government through its people, processes and policy. In the multi-layered context of the 21st century, several overlapping perspectives on these issues exist. TGPPP brings these together. Aims and scope Transforming Government: People, Process and Policy (TGPPP) promotes conceptually- and methodologically-sound debate on current and emerging issues in the fields of politics, economics, technology and business to reach and inform decision-makers at all levels of the decision-making process. TGPPP aims to build bridges between the worlds of academia and policymaking to promote evidence-based research. TGPPP welcomes submissions from established and early career researchers, practitioners and policy makers to contribute, manage and share knowledge and experience, and to learn from each other’s research through front-line thinking about government and the complex multi-scalar environment in which it evolves. TGPPP encourages multi- and interdisciplinary approaches to issues, processes and developments that directly and indirectly influence government’s nature and power of government and the way in which it operates. Contributions exploring community, city, domestic, regional, international and global perspectives to these issues are welcome. Areas of interest include, but are not limited to, the following: ICT and government: local, regional, international perspectives ICT, politics and policymaking: issues, developments, methodologies, techniques E-government, digitalization, information security, soft issues Smart cities Smart villages Technology adoption and diffusion: politics, policies, stakeholders, implications Big data, big data analytics, future generation technologies, including artificial intelligence, generative AI, and applications Country and regional case-studies
由 Dou Sun 最后更新于

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