A Research Agenda on Open Data Impact Process for Open Innovation

Abstract

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

Open data-set identifier for open innovation and knowledge management

“…Given the great utility that the reuse of open data can have for open innovation, some authors have already proposed theoretical models for to better understand the process of open innovation through open data. Corrales-Garay et al (2019b; 2020) develop a model that considers the four phases of the impact process of open data reuse proposed by Abella et al (2019a): candidate data; published data; reused data; and impact and combine it with the types of open innovation – inbound, outbound and coupled (Table 2). …”

“…Considering the objective of this paper, we will focus on the second phase of the model (Table 2), where published data is analysed. Corrales-Garay et al (2020) explain that previous literature has analysed where and how data can be published, paying special attention to Web platforms and open data portals, but that there are several topics of interest that could be new areas of research. Two of those topics are the analysis of the characteristics that an open data portal should have to publish reusable data for innovation and publishing data in a standardised format that allows for comparison between portals.…”

“…Innovation today must be continuous and consistent, but there is a high degree of homogeneity between innovation typologies by sub-sectors (Witell et al , 2016; Taques et a l., 2021). In the case of the open data sector, the dimension of innovation is underdeveloped, although there are studies that analyse the open innovation that can be achieved in this sector (Corrales-Garay et al , 2020, 2022).…”

Understanding open data business models from innovation and knowledge management perspectives

“…, 2015, 2017), sometimes in an open innovation process that fosters stakeholder collaboration (Corrales-Garay et al. , 2019b, 2020a). Therefore, open data serve as a viable base from which entrepreneurs may generate new business models.…”

“…The economic, political and social importance of open data has increased exponentially in recent years (Corrales-Garay et al, 2019a). The use of open data allows for the creation of new digital services, particularly applications (Abella et al, 2015(Abella et al, , 2017, sometimes in an open innovation process that fosters stakeholder collaboration (Corrales-Garay et al, 2019b, 2020a. Therefore, open data serve as a viable base from which entrepreneurs may generate new business models.…”