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Publicação
Assessing the Data Management innovations within the manufacturing environment in the Industry 4.0
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Autores
Orientador(es)
Resumo(s)
An economic growth alongside with the development of technologies are the two decisive
factors for the fourth industrial revolution. This study proposes covering the gap in the
literature for assessment methodologies, evaluating how the data management technological
innovations contribute to value creation for manufacturing organizations. For this, a
systematic critical literature review was conducted to understand the main variables that
influence the adoption of technologies. Later, it was used a natural science research
methodology by applying a qualitative method through interviews, with participants having
relevant roles in data management departments, to then extract their perspective on data
management operability, data management technologies innovations, data interoperability,
and manufacturing operational performance. A further content analysis gives an overview of
the main technological innovations adopted, their context, decisive factors, adoption pacing
differences, and what value they are attributing to the business operations.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Data Management Industry 4.0 Innovation Manufacturing Industry Operational Performance SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure