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Projects / Programmes source: ARIS

Transformation of governance and public service delivery mechanisms in the digital age

Research activity

Code Science Field Subfield
5.04.00  Social sciences  Administrative and organisational sciences   

Code Science Field
S170  Social sciences  Political and administrative sciences 

Code Science Field
5.06  Social Sciences  Political science 
Keywords
public governance models, digital transformation model, public service delivery, co-creation, citizens, public administration reform, Slovenia
Evaluation (rules)
source: COBISS
Researchers (16)
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  18942  PhD Aleksander Aristovnik  Economics  Head  2019 - 2022  942 
2.  28315  MSc Boris Glogovac  Computer intensive methods and applications  Researcher  2019 - 2022 
3.  19293  PhD Maja Klun  Economics  Researcher  2019 - 2021  875 
4.  23676  PhD Polonca Kovač  Law  Researcher  2019 - 2022  1,542 
5.  28891  Gregor Krnec    Technical associate  2020 - 2022 
6.  38016  Miha Lebič    Technical associate  2019 - 2020 
7.  55294  Eva Murko  Economics  Researcher  2021 - 2022  35 
8.  32755  PhD Mirko Pečarič  Administrative and organisational sciences  Researcher  2020 - 2022  385 
9.  38162  PhD Dejan Ravšelj  Economics  Researcher  2020 - 2022  156 
10.  30838  PhD Marko Ropret  Economics  Researcher  2019 - 2020  83 
11.  19329  PhD Janez Stare  Administrative and organisational sciences  Researcher  2019 - 2021  695 
12.  16302  PhD Ljupčo Todorovski  Computer science and informatics  Researcher  2019 - 2021  445 
13.  26328  PhD Nina Tomaževič  Economics  Researcher  2020 - 2022  294 
14.  28519  PhD Lan Umek  Administrative and organisational sciences  Researcher  2020 - 2022  209 
15.  53854  Luka Vavtar    Technical associate  2020 - 2022 
16.  02262  PhD Mirko Vintar  Computer science and informatics  Retired researcher  2019 - 2022  420 
Organisations (2)
no. Code Research organisation City Registration number No. of publicationsNo. of publications
1.  0590  University of Ljubljana, Faculty of Public Administration  Ljubljana  1627163  8,799 
2.  2487  LOGON INFORMACIJSKE TEHNOLOGIJE d.o.o. (Slovene)  Ljubljana  1614363  11 
Abstract
The public administration constantly needs to look for opportunities to improve its productivity, increase collaboration, improve process efficiency and focus on innovation. In this regard, digitalization represents a significant opportunity to fundamentally redesign public governance: enabling changes in relationships within government, and between governments and their citizens, as facilitated by big data, cloud computing, blockchain technology and other ICT-related drivers of administrative development. Yet, according to the Digital Economy and Society Index (DESI 2018) and other rankings, Slovenia's PA digitalization performance is mediocre, compared to other European Union (EU) states and globally. Therefore, the project aims to develop a digital transformation model (DTM) for the Slovenian public administration. The model will be based on the limitations of Slovenia’s present model of public governance and service delivery, recognizing existing international model guidelines which will be significantly modernized according to the needs of governance in the digital era by incorporating the following innovative improvements: 1) the emerging and already used contemporary information technologies (social networks, the IoT, blockchain, mobility, analytics/big data, machine learning cloud computing etc.), 2) looking beyond the existing model’s bureaucratic and technocratic focus, tailoring the administrative and service design to the principles of modern public governance ((Neo)-Weberianism, NPM, good governance, digital-era and post-digital-era governance etc.), 3) utilizing the potential of citizen co-creation, significantly adding to the model’s feasibility (due to the comprehensive amount of input gained from its users etc.), 4) tailoring the DTM to Slovenian national particularities from the governance perspective (post-socialism, Rechtsstaat culture, EU membership, a small state etc.), 5) ensuring the DTM’s adaptability to administrative operation and service delivery mechanisms at different governance levels (the level of the state agency, ministries and individual organizational units within the latter, the level of the municipality, territorial-administrative unit etc.). Along with the establishment of a scientific model, the challenge of implementing the DTM in administrative practice will also be addressed. The implementation feasibility will be supported by the model’s focus on directly controllable elements incorporated within an openly available innovative software solution, where public institutions will be presented with the current state of digital transformation as well as the referential values based on best-performing institutions. For the responsible policymakers and the citizens, particularly the aggregate results will be useful, with a focus on raising awareness about the least exploited elements of digital transformation. Further, by monitoring the users' feedback, technological improvements and best practices regarding both, the DTM and consequently the software solution will also be dynamically adjusted, thereby overcoming limits of the existing finite-state digital governance models. The scientific contribution is demonstrated in the development of a unique DTM directly addressing the lack of adequate digital transformation frameworks and existing limitations in governing the public administration system in the digital age. This proves to be particularly relevant as it represents one of the most important contemporary interdisciplinary research issues. Content-wise, the project ensures the level of comprehensiveness still required in studies in Slovenia and the broader EU area. Thus, the DTM will act as a reliable framework for service and administrative design, fostering transparent and participative authoritative decision-making, a more cost-efficient public administration, user-focused public services, crowdsourcing, adequately holistic data analysis and policymaking.
Significance for science
The scientific contribution is demonstrated in the development of a unique DTM directly addressing the lack of adequate digital transformation frameworks and existing limits in governing the public administration system in the digital age. Content-wise, the project ensures the level of required comprehensiveness not yet achieved in studies in Slovenia and the broader EU area (Bouckaert, 2012; Hammerschmid, et al. 2016; Bevir, 2011). Namely, the DTM, instead of focusing on other studies, takes the statistically verified specifics of the Slovenian public administration into account by appropriately balancing the numerous elements of administrative and service design, influenced by a wide network of actors. Also, our original model takes account of the differentiation between the "front-office" nature of the interaction, and the "back-office" nature of the underlying processes, thereby contributing a realistic multidimensional space for digital governance maturity improvements. In addition, we acknowledge that governance in the digital era that suits Slovenia’s public administration needs can only be developed by analysing data, addressed at all levels of governance. Namely, multi-level governance from the perspective of Central and Eastern European countries is characterized by a largely hierarchical structure, and there is a mismatch of the old hierarchical structures and the new institutions that emerged during and after the period of transition, often causing vertical coordination problems (Kluvankova-Oravska and Chobotova, 2010). An especially big challenge while implementing the above strategies is their exceptional extensiveness and the related need for additional support with a systematic and clear order of the required measures (Bileišis and Kovač, 2017). Thus, the DTM will act as a reliable framework for service design and administrative design, fostering transparent and participative authoritative decision-making, a more cost-efficient public administration, user-focused public services, crowdsourcing, adequately holistic data analysis and policymaking. Resolving the challenges of complex and big data encountered in public administration research will also lead to novel and relevant contributions in the general field of computer science, more specifically, machine learning and data mining. The dissemination of the DTM and the accompanying materials (research publications and an openly accessible software tool) through a wide range of communication channels will enable the project group to effectively address the main PA stakeholders, effectively tackling the challenge of absorbing these findings into administrative practice. It will be reasonably taken into account that digitalization represents an evolving process and thus the findings will be substantiated with the newest examples of good Slovenian and governance practices worldwide, representing further proposals for governance modernization beyond the state of the art.
Significance for the country
The scientific contribution is demonstrated in the development of a unique DTM directly addressing the lack of adequate digital transformation frameworks and existing limits in governing the public administration system in the digital age. Content-wise, the project ensures the level of required comprehensiveness not yet achieved in studies in Slovenia and the broader EU area (Bouckaert, 2012; Hammerschmid, et al. 2016; Bevir, 2011). Namely, the DTM, instead of focusing on other studies, takes the statistically verified specifics of the Slovenian public administration into account by appropriately balancing the numerous elements of administrative and service design, influenced by a wide network of actors. Also, our original model takes account of the differentiation between the "front-office" nature of the interaction, and the "back-office" nature of the underlying processes, thereby contributing a realistic multidimensional space for digital governance maturity improvements. In addition, we acknowledge that governance in the digital era that suits Slovenia’s public administration needs can only be developed by analysing data, addressed at all levels of governance. Namely, multi-level governance from the perspective of Central and Eastern European countries is characterized by a largely hierarchical structure, and there is a mismatch of the old hierarchical structures and the new institutions that emerged during and after the period of transition, often causing vertical coordination problems (Kluvankova-Oravska and Chobotova, 2010). An especially big challenge while implementing the above strategies is their exceptional extensiveness and the related need for additional support with a systematic and clear order of the required measures (Bileišis and Kovač, 2017). Thus, the DTM will act as a reliable framework for service design and administrative design, fostering transparent and participative authoritative decision-making, a more cost-efficient public administration, user-focused public services, crowdsourcing, adequately holistic data analysis and policymaking. Resolving the challenges of complex and big data encountered in public administration research will also lead to novel and relevant contributions in the general field of computer science, more specifically, machine learning and data mining. The dissemination of the DTM and the accompanying materials (research publications and an openly accessible software tool) through a wide range of communication channels will enable the project group to effectively address the main PA stakeholders, effectively tackling the challenge of absorbing these findings into administrative practice. It will be reasonably taken into account that digitalization represents an evolving process and thus the findings will be substantiated with the newest examples of good Slovenian and governance practices worldwide, representing further proposals for governance modernization beyond the state of the art.
Most important scientific results Interim report
Most important socioeconomically and culturally relevant results
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