Projects / Programmes
Developing a conceptual framework for citizen-centred smart public governance
| Code |
Science |
Field |
Subfield |
| 5.04.00 |
Social sciences |
Administrative and organisational sciences |
|
| Code |
Science |
Field |
| 5.06 |
Social Sciences |
Political science |
smart public governance, citizen centricity, public value, collaborative governance, digital governance, open government, maturity model, machine learning, e-tool, Slovenia
Researchers (14)
| no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
| 1. |
18942 |
PhD Aleksander Aristovnik |
Economics |
Head |
2020 - 2023 |
0 |
| 2. |
28315 |
MSc Boris Glogovac |
Computer intensive methods and applications |
Researcher |
2020 - 2023 |
0 |
| 3. |
19293 |
PhD Maja Klun |
Economics |
Researcher |
2020 - 2021 |
0 |
| 4. |
23676 |
PhD Polonca Kovač |
Law |
Researcher |
2020 - 2023 |
0 |
| 5. |
28891 |
Gregor Krnec |
|
Technical associate |
2021 - 2023 |
0 |
| 6. |
55294 |
Eva Murko |
Economics |
Researcher |
2021 - 2023 |
0 |
| 7. |
38162 |
PhD Dejan Ravšelj |
Economics |
Researcher |
2020 - 2022 |
0 |
| 8. |
19329 |
PhD Janez Stare |
Administrative and organisational sciences |
Researcher |
2020 - 2021 |
0 |
| 9. |
16302 |
PhD Ljupčo Todorovski |
Computer science and informatics |
Researcher |
2020 - 2021 |
0 |
| 10. |
26328 |
PhD Nina Tomaževič |
Economics |
Researcher |
2021 - 2023 |
0 |
| 11. |
28519 |
PhD Lan Umek |
Administrative and organisational sciences |
Researcher |
2021 - 2023 |
0 |
| 12. |
53854 |
Luka Vavtar |
|
Technical associate |
2020 - 2023 |
0 |
| 13. |
02262 |
PhD Mirko Vintar |
Computer science and informatics |
Retired researcher |
2020 - 2023 |
0 |
| 14. |
54755 |
Petra Vujković |
Economics |
Junior researcher |
2022 - 2023 |
0 |
Organisations (2)
Abstract
In order to keep pace with the changes in today’s society, the public administration must constantly look for opportunities to raise its productivity, increase collaboration, improve process efficiency and focus on innovation. States recognize the need to alter the way public institutions organize, produce and deliver services by releasing the great potential held by networks and partnerships between governments, business corporations, and civil society associations. In this context, citizen-centred smart public governance (CSPG) is an umbrella term to describe many digital initiatives in the public sector that rely on emerging technologies to creatively link physical, digital, public and private environments. Yet, the concept of CSPG has only recently enjoyed significant momentum in the scientific literature. Although researchers have analysed selected facets of the concept, such as smart systems, smart cities and smart regions, systemic approaches are hard to find. Therefore, this project aims to develop an innovative CSPG conceptual framework, based on the renowned Swiss e-government stage framework, tailored to the specifics of the Slovenian public administration, enabling unprecedented comprehensiveness as facilitated by sophisticated software tools, methods and a customized survey, involving a multistakeholder perspective, covering the citizens, public institutions and selected experts. CSPG shall be developed in line with an extensive set of the main CSPG principles (integration, innovation, evidence-based decision-making, citizen-centricity, sustainability, creativity, effectiveness, efficiency, equality, entrepreneurialism, citizen engagement, openness, resiliency, technology savviness and others), resulting in several dimensions: (C)itizen-centred elements examining citizen interaction with public institutions; (S)mart elements underscoring the quality of showing quick intelligence and acting quickly; (P)ublic value capabilities, permitting us to address the multifaceted, interrelated and dynamic structure of CSPG through the proactive engagement of public institutions and stakeholders; (G)overnance elements fostering the integrative and comprehensive conceptualization of SPG as a socio-technical phenomenon by means of government structures, processes and procedures. Moreover, the targeted CSPG outcomes are clearly conceptualized: first-order outcomes (O1) or changes to the governance model; second-order outcomes (O2) or changes in the institution’s position vis-a-vis the stakeholders in citizen-centric services and interactions with citizens; and third-order outcomes (O3) or improvements to the city/region/state (economic growth, social inclusion, ecological performance, and highly educated citizens). The value of the results is reinforced by the triangulation approach, combining the views of citizens, institutions and independent experts on the states experienced and expected as regards the CSPG dimensions and outcomes. The obtained data will undergo a multivariate analysis to enable identification of the CSPG maturity level (ML) and related implementation strategy/guidelines (ST) in various dimensions (D) and thus also the outcomes achieved (O). It is taken into account that the dimensions of smart governance which are prone to a largely technological approach are insufficient for addressing the aspects of governance associated with the (lacking) collaboration between smart governments, smart citizens, experts and other stakeholders. Hence, the interdisciplinary approach of gaining inputs and scoping across numerous stakeholders facilitates the required, yet so far not achieved, systemic way of addressing the development of CSPG. Moreover, it will be able to support a multidimensional data structure (i.e. a data cube), allowing for machine learning and predictive analytics, new knowledge to be generated and CSPG to be continuously improved.
