The use of the open innovation paradigm in the public sector: a systematic review of published studies

• URL: http://arxiv.org/abs/2404.01552v2
• Date: Tue, 9 Apr 2024 00:49:18 GMT
• Title: The use of the open innovation paradigm in the public sector: a systematic review of published studies
• Authors: Joel Alves de Lima Júnior, Kiev Gama, Jorge da Silva Correia Neto,
• Abstract summary: The use of the open innovation paradigm has been, over the past years, getting special attention in the public sector. It was possible to verify that the use of this paradigm started to be reported with a higher frequency in the literature since 2013. It was also possible to verify that the use of open innovation through social media was one of the pioneer techniques of engagement between the public sector and citizens.
• Score: 3.6203549269055237
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The use of the open innovation paradigm has been, over the past years, getting special attention in the public sector. Motivated by an urban environment that is increasingly more complex and challenging, several government agencies have been allocating financial resources and efforts to promote open and participative government initiatives. As a way to try and understand this scenario, a systematic review of the literature was conducted, to provide a comprehensive analysis of the scientific papers that were published, seeking to capture, classify, evaluate and synthesize how the use of this paradigm has been put into practice in the public sector. In total, 4,741 preliminary studies were analyzed. From this number, only 37 articles were classified as potentially relevant and moved forward, going through the process of data extraction and analysis. From the data obtained, it was possible to verify that the use of this paradigm started to be reported with a higher frequency in the literature since 2013 and, among the main findings, we highlight the reports of experiences, approach propositions, of understanding how the phenomenon occurs and theoretical reflections. It was also possible to verify that the use of open innovation through social media was one of the pioneer techniques of engagement between the public sector and citizens. In conclusion, the reports confirm that the main challenges of this paradigm applied to the public sector are associated with their respective bureaucratic aspects, therefore lacking a bigger reflection on the procedures and methods to be used in the public sphere.

Related papers

• Innovation Resistance Theory in Action: Unveiling Barriers to Open Government Data Adoption by Public Organizations to Unlock Open Data Innovation [1.4843690728082002]
  Open Government Data (OGD) plays a pivotal role in fostering data-driven innovation and sustainability across various sectors. Despite its potential, many public organizations are reluctant to share their data openly. This study develops an Innovation Resistance Theory (IRT) model tailored to OGD that allows identifying predictors of resistance among public agencies.
  arXiv  Detail & Related papers  (2024-07-15T16:35:38Z)
• Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing [51.524108608250074]
  Black-box machine learning approaches have become a dominant modeling paradigm for knowledge extraction in remote sensing. We perform a systematic review to identify the key trends in the field and shed light on novel explainable AI approaches. We also give a detailed outlook on the challenges and promising research directions.
  arXiv  Detail & Related papers  (2024-02-21T13:19:58Z)
• Insights Towards Better Case Study Reporting in Software Engineering [0.0]
  This paper aims to share insights that can enhance the quality and impact of case study reporting. We emphasize the need to follow established guidelines, accurate classification, and detailed context descriptions in case studies. We aim to encourage researchers to adopt more rigorous and communicative strategies, ensuring that case studies are methodologically sound.
  arXiv  Detail & Related papers  (2024-02-13T12:29:26Z)
• Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark [55.898771405172155]
  Federated learning has emerged as a promising paradigm for privacy-preserving collaboration among different parties. We provide a systematic overview of the important and recent developments of research on federated learning.
  arXiv  Detail & Related papers  (2023-11-12T06:32:30Z)
• A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM [0.0]
  This work reviewed research papers published in ACM Digital Library and IEEE Xplore conference proceedings. The objective was to capture insights regarding data privacy, ethics, interpretability, explainability, trustworthiness, and fairness in the public sector.
  arXiv  Detail & Related papers  (2023-07-25T11:15:57Z)
• Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework [68.8204255655161]
  An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve public values. We study existing works on the application of Text Analytics (TA) techniques on text data to support public service co-creation.
  arXiv  Detail & Related papers  (2023-05-20T17:34:17Z)
• Retrieval Augmentation for Commonsense Reasoning: A Unified Approach [64.63071051375289]
  We propose a unified framework of retrieval-augmented commonsense reasoning (called RACo) Our proposed RACo can significantly outperform other knowledge-enhanced method counterparts.
  arXiv  Detail & Related papers  (2022-10-23T23:49:08Z)
• State-of-the-art generalisation research in NLP: A taxonomy and review [87.1541712509283]
  We present a taxonomy for characterising and understanding generalisation research in NLP. Our taxonomy is based on an extensive literature review of generalisation research. We use our taxonomy to classify over 400 papers that test generalisation.
  arXiv  Detail & Related papers  (2022-10-06T16:53:33Z)
• Fairness in Recommender Systems: Research Landscape and Future Directions [119.67643184567623]
  We review the concepts and notions of fairness that were put forward in the area in the recent past. We present an overview of how research in this field is currently operationalized. Overall, our analysis of recent works points to certain research gaps.
  arXiv  Detail & Related papers  (2022-05-23T08:34:25Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.