Experiences about opening data in private sector: A systematic literature review

Herala, Antti; Vanhala, Erno; Porras, Jari; Krri, Timo

doi:10.1109/sai.2016.7556060

Cited by 6 publications

(12 citation statements)

References 47 publications

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“…Table 9 shows that 60% of the documents (33) correspond to a single geographic area, while 18.2% (10) correspond to several geographic areas. Approximately 21.8% (12) of the documents do not indicate any geographic scope. The geographic areas represented are widely scattered, although approximately 53% (29) of those that indicate a geographic area are analyses conducted in Europe.…”

Section: Analytical Techniques Author/s Yearmentioning

confidence: 99%

“…Other studies analyse the literature on open innovation, combining several methodologies and temporal scopes, with 2017 being the last year analysed in the most current articles [16][17][18][19][20][21][22][23][24][25]. Finally, we have found that some of these studies have identified interest in the relationship between the terms "open data" and "open innovation" [12,14,17].…”

Section: Introductionmentioning

confidence: 96%

“…Due to this, we have searched literature reviews of each theme to look for interest to study the combination of those two terms. We have found literature reviews about open data using different methodologies and temporal scopes [12][13][14][15]. Other studies analyse the literature on open innovation, combining several methodologies and temporal scopes, with 2017 being the last year analysed in the most current articles [16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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: Analytical Techniques Author/s Yearmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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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“…But when data is opened by privately owned companies, there are benefits but also drawbacks. An extensive literature review into the benefits and drawbacks of opening data from the private sector was published as prior work [13]. Based on this work, a list of six benefits and four drawbacks were found in the open data activities by private organizations ( Table 1).…”

Section: Open Datamentioning

confidence: 99%

“…In our previous research into the open data in the private sector concentrating on opening their data, it was found that opening data can bring benefits to privately owned organizations [13]. This result was achieved with a systematic literature review, which analyzed the relevant literature in the field and covered different benefits and drawbacks of opening data to private organizations.…”

Section: Introductionmentioning

confidence: 99%

Strategy for Data: Open it or Hack it?

Herala

Kokkola

Kasurinen

et al. 2019

JTAER

Self Cite

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The open data ventures can be summarized in a way that companies are reluctant to share their data with anyone, whereas governments open their data for citizens, institutions, and businesses as much as they can. However, this principle is changing, since there is added value in the digital information and datasets the companies possess and they are slowly understanding the value of crowdsourcing. In order to engage external experts, companies are reluctant to open their data, but they are interested in hosting hackathons. Hackathons are seen as a valuable direction to engage developers with private data. In this article, we observed and analyzed different industry cases for strategies and opinions on how and why organizations arrange hackathon events to extract information from their data, and how this relates to the popular open data movement. Our results indicate that hackathons offer more control and practical solutions over the fundamental open data approach. It would seem that hackathons provide better inroads for the companies to monetize their datasets and information assets, while open data could bring more visibility to the brand.

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A Research Agenda on Open Data Impact Process for Open Innovation

Corrales-Garay

Ortiz‐de‐Urbina‐Criado

Mora-Valentín

2020

IEEE Access

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Open data and open innovation are two topics currently attracting the attention of academics. But no previous studies consider these fields in combination while using a bibliometric approach. Thus, the aim of this paper is to understand the relationship between open innovation and open data. Two research questions have been formulated: 1) What are the main topics studied in the literature that combine both lines of research? and 2) How can the open innovation paradigm be integrated in the open data impact process? To address the first question, a co-word analysis is used to identify the main topics investigated in the open innovation and open data literature. Based on our results, to answer the second research question, the topics are grouped and analyzed considering a model of the open data impact process. Finally, some future research lines to analyze the open data impact process for open innovation are presented. For example, future research could focus on questions such as (1) What kind of applications can be created through the reuse of open data?; and (2) How do open innovation processes influence the reuse of open data? INDEX TERMS Open data, open innovation, co-word analysis, theoretical model. the Ph.D. degree in management from Rey Juan Carlos University, Spain. She is currently an Associate Professor of management with Rey Juan Carlos University. Her research has been published in the

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Experiences about opening data in private sector: A systematic literature review

Cited by 6 publications

References 47 publications

Open Data for Open Innovation: An Analysis of Literature Characteristics

Open Data for Open Innovation: An Analysis of Literature Characteristics

Strategy for Data: Open it or Hack it?

A Research Agenda on Open Data Impact Process for Open Innovation

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