| Title |
Big Data, European Data Strategy, And Innovation: A Systematic Review of The Literature |
| ID_Doc |
75963 |
| Authors |
Walter, CE; Valente, T; Polónia, DF; Au-Yong-Olivera, M; Veloso, CM |
| Title |
Big Data, European Data Strategy, And Innovation: A Systematic Review of The Literature |
| Year |
2021 |
| Published |
Quality-Access To Success, 22, 184 |
| DOI |
10.47750/QAS/22.184.02 |
| Abstract |
As a result of the disruptive and comprehensive power of using Big Data, organizations need to commit to its application at a strategic level to achieve sustainable competitive advantages through its efficient use. Given this context and considering the importance of Big Data, this research aimed to identify how Big Data and its strategies, have been used to promote innovation, through a systematic review of the literature. Afterwards, it can be discussed how the research conducted on the subject can contribute to a greater chance of success for the European Data Strategy. From the research conducted in the Scopus and Web of Science databases, 25 titles related to the theme have been identified, 11 of which have been selected and read in full. The literature analyzed points out that the investigations have focused on developing models and strategies for the adoption of Big Data by companies, which commonly fail, due to not considering the needs and particularities of each business. In this sense, for the European Data Strategy to have greater chances of success, besides establishing an ecosystem propitious to the exploitation of the opportunities with the use of Big Data, it must promote the development of dynamic capacities. So that Small and Medium Enterprises can reconfigure their resources, routines and business models according to the use of data. |
| Author Keywords |
Big Data; European Data Strategy; Innovation; Competitive Advantage; Systematic Literature Review |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000709740600002 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
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