文章基本信息

标题：Open Data for Open Innovation: An Analysis of Literature Characteristics
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作者：Diego Corrales-Garay ; Eva-María Mora-Valentín ; Marta Ortiz-de-Urbina-Criado 等
期刊名称：Future Internet
电子版ISSN：1999-5903
出版年度：2019
卷号：11
期号：3
页码：77-101
DOI：10.3390/fi11030077
出版社：MDPI Publishing
摘要：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.
关键词：open data; open innovation; literature review; authors; journals; knowledge areas; methodological characteristics open data ; open innovation ; literature review ; authors ; journals ; knowledge areas ; methodological characteristics