Digital transformation decoupling: The impact of willful ignorance on public sector digital transformation

Government Information Quarterly, Journal Year: 2024, Volume and Issue: 41(3), P. 101958 - 101958

Published: July 16, 2024

The public sector is actively pursuing digital transformation to ensure continuous operations and relevance. While existing research has outlined essential prerequisites for successful transformation, there recognition of willful ignorance concerning these prerequisites. Public servants may in other words deliberately avoid understanding the necessary conditions often driven by strategic motives such as evading responsibility and/or accountability. phenomenon constitutes an important yet under-researched area within study government. To close this gap, we investigate latent factors utilizing three sets national panel data focused on Employing exploratory factor analysis initial sample, construct a model, subsequently assessing its validity through confirmatory two additional samples. Our identifies validates associated with sector. Building findings, propose mid-range variance theory termed "digital decoupling". By integrating knowledge, present set propositions guide future realm transformation.

Language: Английский

---

Understanding the development of public data ecosystems: From a conceptual model to a six-generation model of the evolution of public data ecosystems

Telematics and Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102190 - 102190

Published: Sept. 1, 2024

Language: Английский

---

Cooperative Mechanisms among Stakeholders in Government Data Openness: A Tripartite Evolutionary Game Analysis

Dynamic Games and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 7, 2025

Language: Английский

---

Geospatial Dashboards to Enhance Open Government Data. A Proposal to Improve Citizen Engagement in the Spanish Water Transition

Published: Jan. 1, 2025

Language: Английский

---

Opening public data and entrepreneurial activity: evidence from China

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: March 7, 2025

Language: Английский

---

Understanding the development of public data ecosystems: from a conceptual model to a six-generation model of the evolution of public data ecosystems

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

There is a lack of understanding the elements that constitute different types value-adding public data ecosystems and how these form shape development over time, which can lead to misguided efforts develop future ecosystems. The aim study twofold: (1) explore have developed time (2) identify formative characteristics Using an exploratory retrospective analysis deductive approach, we systematically review 148 studies published between 1994 2023. Based on results, this presents typology develops conceptual model contribute most Moreover, evolutionary generation represented by six generations differ in terms (a) components relationships, (b) stakeholders, (c) actors their roles, (d) types, (e) processes activities, (f) lifecycle phases. Finally, three avenues for research agenda are proposed. This relevant practitioners suggesting what potential generate value should thus be part As scientific contribution, integrates knowledge about ecosystems, evolution defines agenda, thereby moves towards defining new generation.

Language: Английский

---

Examining information needs of public data service users: a study based on the ‘Message Board for Leaders of People’s Daily in China’

Information Research an international electronic journal, Journal Year: 2024, Volume and Issue: 29(2), P. 701 - 723

Published: June 18, 2024

Introduction. Governance process optimisation is critical to achieve the goal of improving public services efficiency. Public data service crucial starting point for realising this goal. However, practical challenges persist in service, including unclear processes and insufficient identification citizens’ information needs. Method & Analysis. We employed an inductive methodology analyse users’ needs annual distribution among Based on a data-driven approach, we mapped these sub-categories into four main procedures service. This paper further identified hierarchy based processing levels. utilised Sankey diagram effectively illustrate cross-analysis result between topics needs’ subcategories. Results. The typical levels include informing, utilisation, problem-solving, social life society governance. Furthermore, our study reveals flow follows logic Datafication- Government Government-Government citizens- Data Optimiation. Conclusion. departments should ensure quality facilitate efficient circulation processes. recommend understanding relationships resources derived from them through problem-solving lens. Our findings will serve as reference tool analysing users other countries.

Language: Английский

---

Open data platforms: Design principles for embracing outlaw innovators

The Journal of Strategic Information Systems, Journal Year: 2024, Volume and Issue: 33(3), P. 101850 - 101850

Published: Aug. 20, 2024

Language: Английский

---

VENTAJAS Y BARRERAS EN LA CREACIÓN DEL SISTEMA DE INTELIGENCIA TURÍSTICA EN LOS DESTINOS TURÍSTICOS INTELIGENTES

Cuadernos de Turismo, Journal Year: 2024, Volume and Issue: 53, P. 133 - 156

Published: June 28, 2024

This research work highlights the importance of implementing a Tourism Intelligence System in destinations and results show its advantages (improvement decision-making tourist's experience) barriers (need for resources resistance to change agents). In-depth interviews were conducted with 15 Spanish international experts. study contributes advancement tourism intelligence, guides implementation is pioneer practical application improve management. Este trabajo destaca la importancia de implantar un Sistema Inteligencia Turística en destinos y los resultados muestran sus ventajas (mejora toma decisiones experiencia del turista) barreas (necesidad recursos resistencia al cambio agentes). Para ello, se realizaron entrevistas profundidad expertos España e internacionales. estudio contribuye el avance inteligencia turística, orienta su implantación es pionero aplicación práctica para mejorar gestión turística.

---

Perception and Reuse of Open Data in the Spanish University Teaching and Research Community

Data, Journal Year: 2024, Volume and Issue: 9(10), P. 117 - 117

Published: Oct. 11, 2024

Introduction. Open Government is a form of public policy based on the pillars collaboration and citizen participation, transparency right access to information. With help information communication technologies, governments administrations carry out open data initiatives, making reusable datasets available all citizens. The academic community, highly qualified personnel, can become potential reusers this data, which would lead its use for scientific research, generating knowledge, teaching, improving training university students promoting reuse in future. Method. This study was developed using quantitative research methodology (survey), distributed by email one context block six technical blocks, with total 30 questions. collection period between 15 March 10 May 2021. Analysis. obtained through were processed, normalised, analysed. Results. A 783 responses obtained, from 34 Spanish provinces. researchers come 47 universities 21 centres, 19 areas State Research Agency are represented. In addition, platform purpose visualising results survey. Conclusions. sample thus representative conclusions be extrapolated rest teaching staff. terms gender, balanced men women (41.76% W vs. 56.58% M). general, responding survey know what (79.31%) but only 50.57% data. main conclusion that government prove useful sources science, especially such as Social Sciences, Industrial Production, Engineering Society, Information Communication Technologies, Economics Environmental Sciences.

Language: Английский

---