Jan C Weyerer
Biographic Data
| ID | 5818472 |
|---|---|
| NAME | Jan C Weyerer |
| GIVEN NAMES | Jan C |
| FAMILY NAME | Weyerer |
| SIGNATURE | WEYERER J C |
| AFFILIATIONS | Chair for Information and Communication Management, German University of Administrative Sciences Speyer, Speyer, Germany |
| ORCID | 0000-0002-2673-1931 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 30 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
Business model innovation in the public sector: An integrative framework
Business model innovation (BMI) is a well-established approach to adapt structures, activities, and services to dynamic environments. Increasing digitization and changing stakeholder demands put pressure on public organizations to adjust their business models (BMs). However, public BMI research is fragmented and lacks conceptual sophistication. Drawing on an analysis of BMI studies and supplementary public management literature, our study develop…
Open Government: Development, Concept, and Future Research Directions
This study seeks to fill in open government research gaps by structuring and shedding light on the field of empirical open government research by means of a systematic literature review. In doing so, 64 empirical open government studies published in peer-reviewed journals in the period from 2000 to 2020 are analyzed based on their key topic, study type, research design, method of analysis, data collection and research perspective. Our findings re…
Governance of artificial intelligence: A risk and guideline-based integrative framework
Digital Pandemic Response Systems: A Strategic Management Framework Against Covid-19
Governments worldwide are struggling to contain the spread of COVID-19 because many countries rely on outdated, non-digital response approaches and are thus far from exploiting the potential that digital technologies provide for pandemic response. Consequently, this study constructs a systematic approach to coordinate and manage digital pandemic response applications. To do so, the study reviews 210 peer-reviewed journal articles retrieved by que…
The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration
As government and public administration lag behind the rapid development of AI in their efforts to provide adequate governance, they need respective concepts to keep pace with this dynamic progress. The literature provides few answers to the question of how government and public administration should respond to the great challenges associated with AI and use regulation to prevent harm. This study analyzes AI challenges and former AI regulation ap…
Artificial Intelligence and the Public Sector—Applications and Challenges
Advances in artificial intelligence (AI) have attracted great attention from researchers and practitioners and have opened up a broad range of beneficial opportunities for AI usage in the public sector. Against this background, there is an emerging need for a holistic understanding of the range and impact of AI-based applications and associated challenges. However, previous research considers AI applications and challenges only in isolation and f…
An integrative public IoT framework for smart government
Open government and citizen participation: An empirical analysis of citizen expectancy towards open government data
Citizens are at the heart of open government, and their participation represents a fundamental principle of the latter. Despite their essential role and the great potential benefits open government holds for the public, challenges of use among citizens persist. Previous empirical research has scarcely addressed these issues from a citizen perspective. This study investigates the determinants of open government data use by citizens in Germany. Our…
Open government and citizen participation: An empirical analysis of citizen expectancy towards open government data
Citizens are at the heart of open government, and their participation represents a fundamental principle of the latter. Despite their essential role and the great potential benefits open government holds for the public, challenges of use among citizens persist. Previous empirical research has scarcely addressed these issues from a citizen perspective. This study investigates the determinants of open government data use by citizens in Germany. Our…
Governance of artificial intelligence: A risk and guideline-based integrative framework
An integrative public IoT framework for smart government
Open government and citizen participation: An empirical analysis of citizen expectancy towards open government data
Citizens are at the heart of open government, and their participation represents a fundamental principle of the latter. Despite their essential role and the great potential benefits open government holds for the public, challenges of use among citizens persist. Previous empirical research has scarcely addressed these issues from a citizen perspective. This study investigates the determinants of open government data use by citizens in Germany. Our…
An integrative public IoT framework for smart government
Artificial Intelligence and the Public Sector—Applications and Challenges
Advances in artificial intelligence (AI) have attracted great attention from researchers and practitioners and have opened up a broad range of beneficial opportunities for AI usage in the public sector. Against this background, there is an emerging need for a holistic understanding of the range and impact of AI-based applications and associated challenges. However, previous research considers AI applications and challenges only in isolation and f…
The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration
As government and public administration lag behind the rapid development of AI in their efforts to provide adequate governance, they need respective concepts to keep pace with this dynamic progress. The literature provides few answers to the question of how government and public administration should respond to the great challenges associated with AI and use regulation to prevent harm. This study analyzes AI challenges and former AI regulation ap…
Digital Pandemic Response Systems: A Strategic Management Framework Against Covid-19
Governments worldwide are struggling to contain the spread of COVID-19 because many countries rely on outdated, non-digital response approaches and are thus far from exploiting the potential that digital technologies provide for pandemic response. Consequently, this study constructs a systematic approach to coordinate and manage digital pandemic response applications. To do so, the study reviews 210 peer-reviewed journal articles retrieved by que…
Governance of artificial intelligence: A risk and guideline-based integrative framework
Business model innovation in the public sector: An integrative framework
Business model innovation (BMI) is a well-established approach to adapt structures, activities, and services to dynamic environments. Increasing digitization and changing stakeholder demands put pressure on public organizations to adjust their business models (BMs). However, public BMI research is fragmented and lacks conceptual sophistication. Drawing on an analysis of BMI studies and supplementary public management literature, our study develop…
Open Government: Development, Concept, and Future Research Directions
This study seeks to fill in open government research gaps by structuring and shedding light on the field of empirical open government research by means of a systematic literature review. In doing so, 64 empirical open government studies published in peer-reviewed journals in the period from 2000 to 2020 are analyzed based on their key topic, study type, research design, method of analysis, data collection and research perspective. Our findings re…
Political science (8 works) · Computer Science (7 works) · Business (6 works) · Knowledge management (5 works) · E-Government and Public Services (4 works) · Public relations (4 works) · Ethics and Social Impacts of AI (3 works) · Marketing (3 works) · Public sector (3 works) · Computer security (2 works)