Disruptive Technology Capabilities in Local Governments
An Empirical Study
Bibliographic Data
| ID | 12839393 |
|---|---|
| Authors | Aleksander Aristovnik (0000-0003-1345-9649, University of Ljubljana), Eva Murko (0000-0002-2868-3726, University of Ljubljana), Nina Kristl (0000-0002-1297-3796, University of Ljubljana), D Ravšelj (0000-0003-0426-820X, University of Ljubljana, corresponding author) |
| Year | 2025 |
| Volume | 30 |
| Issue | 1 |
| Pages | 14-33 |
| Publication date | 2025-02-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.1177/15701255251321682 |
| OpenAlex | W4409486899 |
| Language | EN |
| Citations received | 1 |
| References cited | 94 |
Digital transformation, driven by disruptive technologies, is significantly altering economies and societies worldwide. For public organisations, embracing disruptive technologies can enhance efficiency, productivity, transparency, and service delivery. However, successful integration of these technologies requires comprehensive readiness at an organisational level. Accordingly, this study aims to identify and understand the critical factors that enable or constrain municipalities in developing their disruptive technology capability. The empirical analysis is based on data collected through a comprehensive questionnaire distributed to public managers in Slovenian municipalities between April and July 2023, yielding a sample of 143 responses. The results of a structural equation modelling approach reveal the complex relationships between identified disruptive technology capability determinants and components. These findings offer valuable insights for researchers, practitioners, and policymakers aiming to navigate the complex landscape of disruptive technology adoption within public organisations. Key Points for Practitioners To enhance disruptive technology capabilities and drive disruptive technology adoption, the results indicate to: - promote a proactive leadership style that fosters innovation, - leverage government incentives, - respond to citizen expectations, - prioritise investments in skills development and infrastructure, and - implement robust data management practices to enhance service delivery and decision-making
Business · Empirical research · Industrial organization · Local government · Political science · E-Government and Public Services · Mathematics · Public Administration · Smart Cities and Technologies · Technology Adoption and User Behaviour
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |