Bram Klievink
Biographic Data
| ID | 4154472 |
|---|---|
| NAME | Bram Klievink |
| GIVEN NAMES | Bram |
| FAMILY NAME | Klievink |
| SIGNATURE | KLIEVINK B |
| AFFILIATIONS | Delft University of Technology |
| ORCID | 0000-0003-1999-743X |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 145 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 7 |
Complexity, understandability, and compatibility: A comparative study of AI advisory systems for National Security
Understanding public acceptance of data collection by intelligence services in the Netherlands: A factorial survey experiment
More than a digital system: How AI is changing the role of bureaucrats in different organizational contexts
The paper highlights the effects of AI implementation on public sector innovation. This is explored by asking how AI-driven technologies in public decision-making in different organizational contexts impacts innovation in the role definition of bureaucrats. We focus on organizational as well as agency- and individual-level factors in two cases: The Dutch Childcare Allowance case and the US Integrated Data Automated System. We observe administrati…
To trust or to restrict? – mapping professional perspectives on intelligence powers and oversight in the Netherlands using Q-methodology
In recent years, the intelligence domain has transformed and become more cyber-oriented. This has been accompanied by governance reforms of intelligence agencies’ powers and oversight mechanisms. However, opinions on key points of these reforms diverge and diverging professional opinions may affect how reforms achieve intended goals. Using Q-methodology, this article identifies and analyses four distinct viewpoints that professionals in the Dutch…
Organizing public sector AI adoption: Navigating between separation and integration
Artificial Intelligence (AI) has the potential to improve public governance, but the use of AI in public organizations remains limited. In this qualitative study, we explore how public organizations strategically manage the adoption of AI. Managing AI adoption in the public sector is complex because of the inherent tension between public organizations' identity, characterized by formal and rigid structures, and the demands of AI innovation that r…
Governing crowd-based innovations: An interdisciplinary research agenda
The crowd increasingly plays a key role in facilitating innovations in a variety of sectors, spurred on by IT-developments and the concomitant increase in connectivity. Initiatives in this direction, captured under the umbrella-term ‘crowd-based innovations’ (CBI), offer novel opportunities in all domains of society by increasing the access, reach and speed of services and goods. At the same time, they signify important challenges because these i…
Public value creation in digital government
Techno-optimism and policy-pessimism in the public sector big data debate
Despite great potential, high hopes and big promises, the actual impact of big data on the public sector is not always as transformative as the literature would suggest. In this paper, we ascribe this predicament to an overly strong emphasis the current literature places on technical-rational factors at the expense of political decision-making factors. We express these two different emphases as two archetypical narratives and use those to illustr…
Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration debate. In this paper, we apply this view, and a more political one, to the context of big data and offer a qualitative study. We question the impac…
Creating value through data collaboratives: Balancing innovation and control
Driven by the technological capabilities that ICTs offer, data enable new ways to generate value for both society and the parties that own or offer the data. This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value. The concept thereby bridges data-driven value creation and collaboration, both current themes in the field. To understand how data…
The collaborative realization of public values and business goals: Governance and infrastructure of public–private information platforms
The scale of society's evolving challenges gradually surpasses the capacity of the public sector to address them. Coping with these challenges requires budget-short governments to look for innovative ways to transform and improve their operations and service provisioning models. While in many cases transformation starts from the inside-out (based on policy goals) and focuses on reorganization through ICTs, we notice a different class of initiativ…
Simulation gaming as a social development instrument: Dealing with complex problems
Improving public service delivery is a very complex domain and the complexity is difficult to grasp by stakeholders having various degree of knowledge and involvement. An emergent and promising method for dealing with complex problems is simulation gaming, which can be used to capitalize the intrinsic experiences and knowledge of people and mobilize their creativity to come up with new solutions. A simulation game refers to a situation in which h…
Realizing joined-up government — Dynamic capabilities and stage models for transformation
Public value creation in digital government
Realizing joined-up government — Dynamic capabilities and stage models for transformation
Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration debate. In this paper, we apply this view, and a more political one, to the context of big data and offer a qualitative study. We question the impac…
Techno-optimism and policy-pessimism in the public sector big data debate
Despite great potential, high hopes and big promises, the actual impact of big data on the public sector is not always as transformative as the literature would suggest. In this paper, we ascribe this predicament to an overly strong emphasis the current literature places on technical-rational factors at the expense of political decision-making factors. We express these two different emphases as two archetypical narratives and use those to illustr…
The collaborative realization of public values and business goals: Governance and infrastructure of public–private information platforms
The scale of society's evolving challenges gradually surpasses the capacity of the public sector to address them. Coping with these challenges requires budget-short governments to look for innovative ways to transform and improve their operations and service provisioning models. While in many cases transformation starts from the inside-out (based on policy goals) and focuses on reorganization through ICTs, we notice a different class of initiativ…
Creating value through data collaboratives: Balancing innovation and control
Driven by the technological capabilities that ICTs offer, data enable new ways to generate value for both society and the parties that own or offer the data. This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value. The concept thereby bridges data-driven value creation and collaboration, both current themes in the field. To understand how data…
Organizing public sector AI adoption: Navigating between separation and integration
Artificial Intelligence (AI) has the potential to improve public governance, but the use of AI in public organizations remains limited. In this qualitative study, we explore how public organizations strategically manage the adoption of AI. Managing AI adoption in the public sector is complex because of the inherent tension between public organizations' identity, characterized by formal and rigid structures, and the demands of AI innovation that r…
Realizing joined-up government — Dynamic capabilities and stage models for transformation
Simulation gaming as a social development instrument: Dealing with complex problems
Improving public service delivery is a very complex domain and the complexity is difficult to grasp by stakeholders having various degree of knowledge and involvement. An emergent and promising method for dealing with complex problems is simulation gaming, which can be used to capitalize the intrinsic experiences and knowledge of people and mobilize their creativity to come up with new solutions. A simulation game refers to a situation in which h…
The collaborative realization of public values and business goals: Governance and infrastructure of public–private information platforms
The scale of society's evolving challenges gradually surpasses the capacity of the public sector to address them. Coping with these challenges requires budget-short governments to look for innovative ways to transform and improve their operations and service provisioning models. While in many cases transformation starts from the inside-out (based on policy goals) and focuses on reorganization through ICTs, we notice a different class of initiativ…
Rationality and politics of algorithms. Will the promise of big data survive the dynamics of public decision making
Big data promises to transform public decision-making for the better by making it more responsive to actual needs and policy effects. However, much recent work on big data in public decision-making assumes a rational view of decision-making, which has been much criticized in the public administration debate. In this paper, we apply this view, and a more political one, to the context of big data and offer a qualitative study. We question the impac…
Creating value through data collaboratives: Balancing innovation and control
Driven by the technological capabilities that ICTs offer, data enable new ways to generate value for both society and the parties that own or offer the data. This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value. The concept thereby bridges data-driven value creation and collaboration, both current themes in the field. To understand how data…
Governing crowd-based innovations: An interdisciplinary research agenda
The crowd increasingly plays a key role in facilitating innovations in a variety of sectors, spurred on by IT-developments and the concomitant increase in connectivity. Initiatives in this direction, captured under the umbrella-term ‘crowd-based innovations’ (CBI), offer novel opportunities in all domains of society by increasing the access, reach and speed of services and goods. At the same time, they signify important challenges because these i…
Public value creation in digital government
Techno-optimism and policy-pessimism in the public sector big data debate
Despite great potential, high hopes and big promises, the actual impact of big data on the public sector is not always as transformative as the literature would suggest. In this paper, we ascribe this predicament to an overly strong emphasis the current literature places on technical-rational factors at the expense of political decision-making factors. We express these two different emphases as two archetypical narratives and use those to illustr…
Organizing public sector AI adoption: Navigating between separation and integration
Artificial Intelligence (AI) has the potential to improve public governance, but the use of AI in public organizations remains limited. In this qualitative study, we explore how public organizations strategically manage the adoption of AI. Managing AI adoption in the public sector is complex because of the inherent tension between public organizations' identity, characterized by formal and rigid structures, and the demands of AI innovation that r…
More than a digital system: How AI is changing the role of bureaucrats in different organizational contexts
The paper highlights the effects of AI implementation on public sector innovation. This is explored by asking how AI-driven technologies in public decision-making in different organizational contexts impacts innovation in the role definition of bureaucrats. We focus on organizational as well as agency- and individual-level factors in two cases: The Dutch Childcare Allowance case and the US Integrated Data Automated System. We observe administrati…
To trust or to restrict? – mapping professional perspectives on intelligence powers and oversight in the Netherlands using Q-methodology
In recent years, the intelligence domain has transformed and become more cyber-oriented. This has been accompanied by governance reforms of intelligence agencies’ powers and oversight mechanisms. However, opinions on key points of these reforms diverge and diverging professional opinions may affect how reforms achieve intended goals. Using Q-methodology, this article identifies and analyses four distinct viewpoints that professionals in the Dutch…
Complexity, understandability, and compatibility: A comparative study of AI advisory systems for National Security
Understanding public acceptance of data collection by intelligence services in the Netherlands: A factorial survey experiment
Computer Science (8 works) · E-Government and Public Services (8 works) · Political science (8 works) · Economics (7 works) · Public relations (7 works) · Business (6 works) · Knowledge management (4 works) · Public sector (4 works) · Sociology (4 works) · Corporate governance (3 works)