Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/22795
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Campo DC | Valor | Idioma |
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dc.contributor.author | Sousa, M. | - |
dc.contributor.author | Melé, P. M. | - |
dc.contributor.author | Pesqueira, A. M. | - |
dc.contributor.author | Rocha, Á. | - |
dc.contributor.author | Sousa, M. | - |
dc.contributor.author | Salma Noor | - |
dc.date.accessioned | 2021-06-22T14:09:18Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 0941-0643 | - |
dc.identifier.uri | http://hdl.handle.net/10071/22795 | - |
dc.description.abstract | The purpose of this paper is to compare the strategies of companies with data science practices and methodologies and the data specificities/variables that can influence the definition of a data science strategy in pharma companies. The current paper is an empirical study, and the research approach consists of verifying against a set of statistical tests the differences between companies with a data science strategy and companies without a data science strategy. We have designed a specific questionnaire and applied it to a sample of 280 pharma companies. The main findings are based on the analysis of these variables: overwhelming volume, managing unstructured data, data quality, availability of data, access rights to data, data ownership issues, cost of data, lack of pre-processing facilities, lack of technology, shortage of talent/skills, privacy concerns and regulatory risks, security, and difficulties of data portability regarding companies with a data science strategy and companies without a data science strategy. The paper offers an in-depth comparative analysis between companies with or without a data science strategy, and the key limitation is regarding the literature review as a consequence of the novelty of the theme; there is a lack of scientific studies regarding this specific aspect of data science. In terms of the practical business implications, an organization with a data science strategy will have better direction and management practices as the decision-making process is based on accurate and valuable data, but it needs data scientists skills to fulfil those goals. | eng |
dc.language.iso | eng | - |
dc.publisher | Springer | - |
dc.relation | UIDB/00315/2020 | - |
dc.rights | openAccess | - |
dc.subject | Data science | eng |
dc.subject | Pharma | eng |
dc.subject | Health sector | eng |
dc.subject | Big data | eng |
dc.subject | Skills | eng |
dc.subject | Data technostructure | eng |
dc.subject | Data management structure | eng |
dc.title | Data science strategies leading to the development of data scientists’ skills in organizations | eng |
dc.type | article | - |
dc.pagination | 14523 - 14531 | - |
dc.peerreviewed | yes | - |
dc.journal | Neural Computing and Applications | - |
dc.volume | 33 | - |
degois.publication.firstPage | 14523 | - |
degois.publication.lastPage | 14531 | - |
degois.publication.title | Data science strategies leading to the development of data scientists’ skills in organizations | eng |
dc.date.updated | 2021-11-04T14:08:49Z | - |
dc.description.version | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.doi | 10.1007/s00521-021-06095-3 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
dc.date.embargo | 2022-05-16 | - |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-81756 | - |
iscte.alternateIdentifiers.wos | WOS:000651021600004 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-85105849060 | - |
Aparece nas coleções: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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article_81756.pdf | Versão Aceite | 194,53 kB | Adobe PDF | Ver/Abrir |
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