Inovação aberta na gestão pública: análise do plano de ação brasileiro para a Open Government Partnership

Freitas, Rony Klay Viana de; Dacorso, Antonio Luiz Rocha

doi:10.1590/0034-76121545

Cited by 22 publications

(22 citation statements)

References 3 publications

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“…Analysing the type of documents indicates that 65.5% (36) are empirical and approximately 34.5% (19) are theoretical. Several aspects of the empirical documents have been analysed, such as the type of study (Table 6), analytical techniques used (Table 7), and sources of information (Table 8).…”

Section: Methodological Characteristics Of the Documentsmentioning

confidence: 99%

Open Data for Open Innovation: An Analysis of Literature Characteristics

Corrales-Garay¹,

Mora-Valentín²,

Ortiz‐de‐Urbina‐Criado³

2019

Future Internet

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In this paper, we review some characteristics of the literature that studies the uses and applications of open data for open innovation. Three research questions are proposed about both topics: (1) What journals, conferences and authors have published papers about the use of open data for open innovation? (2) What knowledge areas have been analysed in research on open data for open innovation? and (3) What are the methodological characteristics of the papers on open data for open innovation? To answer the first question, we use a descriptive analysis to identify the relevant journals and authors. To address the second question, we identify the knowledge areas of the studies about open data for open innovation. Finally, we analyse the methodological characteristics of the literature (type of study, analytical techniques, sources of information and geographical area). Our results show that the applications of open data for open innovation are interesting but their multidisciplinary nature makes the context complex and diverse, opening up many future avenues for research. To develop a future research agenda, we propose a theoretical model and some research questions to analyse the open data impact process for open innovation.

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Section: Methodological Characteristics Of the Documentsmentioning

confidence: 99%

Open Data for Open Innovation: An Analysis of Literature Characteristics

Corrales-Garay¹,

Mora-Valentín²,

Ortiz‐de‐Urbina‐Criado³

2019

Future Internet

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“…These barriers include aversion to financial risk, difficulties in acquiring materials, aversion to increased investment, and lack of government incentives. In the scope of the Brazilian public administration, the study by Freitas & Dacorso (2014) indicated that the government has been moving toward OI and that this has been done through the use of information technology Finally, although the findings of Carvalho et al (2018) highlighted the formation of personal and interorganizational trust as keys to the establishment of partnerships for innovation, we did not observe Brazilian studies focused on organizational culture in OI and the "not invented here syndrome"; which is recognized worldwide as one of the main barriers to the adoption of OI (Armellini et al, 2018;Burcharth et al, 2014). Future studies could analyze this aspect, taking into consideration the particularities of the Brazilian organizational culture.…”

Section: Presentation Of Results and Discussionmentioning

confidence: 99%

The landscape of open innovation in Brazil: An analysis of the recent literature

Ferrari

Scaliza

Jugend

2019

Prod.

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Systematic Review Creative Commons Attribution License 1. Introduction The last decades have challenged several firms to adopt new innovation models (Sikimic et al., 2016; Slater et al., 2014; Von Hippel, 1986). These challenges arise from companies in different parts of the world simultaneously searching for markets and new ways of organizing innovation; this creates opportunities to access new technologies, and novel supply possibilities and partnerships, not only with local companies, but also with firms in other countries. In this scenario, the Open Innovation (OI) concept as proposed by Chesbrough (2003) has been highlighted by practitioners and researchers (e.g., Laursen & Salter, 2006; Randhawa et al., 2016; Rubera et al., 2016) because of its potential to intensify the flow of internal and external knowledge in order to improve the innovation process. Due to recent changes in the business environment, reflected in the increasing speed of technological changes and shortened life cycle of products, it is difficult for companies to ensure their competitiveness through the unique and exclusive internal development of new technologies (D'Ambrosio et al., 2017). Therefore, many companies are developing more open ways to innovate what is also known as OI: a model in which companies more intensively use ideas and technologies developed inside and outside their borders in the innovation process (Chesbrough, 2012; Bogers et al., 2017). Furthermore, OI also tends to provide new sources of revenue for firms through actions such as inclusion in new markets and the prospects of spin-offs and trading licenses. These

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“…The open innovation that drove Open Data policies in the Brazilian government through the participation of citizens in its conformation, according to Freitas and Dacorso (2014), represented a great challenge for that government, due to the resistance and apathy of the community to collaborate with the government in the creation of public policies through the platforms developed for it, however, laid the foundations for the development of new schemes that allow this to occur in the future.…”

Section: Theoretical-conceptual Reviewmentioning

confidence: 99%

Citizen Perception of Open Data and Innovation in Mexico

Vargas-Hernández

Zamora

2018

EPSIR

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This paper analyses the environment of open data and its perception by Mexicans based on the National Survey on Access to Public Information and Protection of Personal Data (ENAID) 2016 and the Survey on Public Perception of Science and Technology (ENPECYT) 2015. The literature review was focused on the open data age represents a new social paradigm that has revolutionized the way that people and organizations obtain, analyze and use large amounts of information to make decisions. Mexico has mechanisms and platforms for access to open data, however, their use and contribution to real innovation is unknown. This paper focuses on this problem; the data reflect important weaknesses in the perception of the implementation of open data, along with low interest on innovation and ignorance on it.Resumen: Este trabajo analiza el entorno de los datos abiertos y su percepción por parte de los mexicanos a partir de la Encuesta Nacional de Acceso a la Información Pública y Protección de Datos Personales (ENAID) 2016 y la Encuesta sobre la Percepción Pública de la Ciencia y la Tecnología (ENPECYT) 2015. La revisión de literatura señala, que la era de los datos abiertos representa un nuevo paradigma social que ha revolucionado la forma en que las personas y las organizaciones obtienen, analizan y utilizan grandes cantidades de información para tomar decisiones, México posee mecanismos y plataformas para el acceso a datos abiertos, sin embargo, se desconoce su utilización y contribución a la innovación real. Este trabajo se enfoca en este problema, los datos reflejan importantes debilidades en la percepción de la implementación de datos abierto así como escaso interés en la innovación e ignorancia sobre la misma.Palabras clave: Datos abiertos, ciencia de datos, gobierno abierto, innovación.

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Inovação aberta na gestão pública: análise do plano de ação brasileiro para a Open Government Partnership

Cited by 22 publications

References 3 publications

Open Data for Open Innovation: An Analysis of Literature Characteristics

Open Data for Open Innovation: An Analysis of Literature Characteristics

The landscape of open innovation in Brazil: An analysis of the recent literature

Citizen Perception of Open Data and Innovation in Mexico

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