Detalhes bibliográficos
| Ano de defesa: |
2023 |
| Autor(a) principal: |
SILVA, Álvaro Mateus Batista da
 |
| Orientador(a): |
LIMA, Telma Lúcia de Andrade |
| Banca de defesa: |
CORREIA NETO, Jorge da Silva,
CEOLIN, Alessandra Carla |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Administração e Desenvolvimento Rural
|
| Departamento: |
Departamento de Administração
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9606
|
Resumo: |
Currently, there is an evolution and improvement of digital technologies, with expanded computing capabilities and projects for future industries that are generating and will still generate profound and notable impacts on society. In this context and, considering that Dynamic Capabilities can be beneficial for obtaining Digital Maturity, this dissertation aims to analyze how dynamic capabilities can support the evolutionary process of digital maturity in organizations. Using a qualitative, exploratory and descriptive approach, two literature reviews were developed, one systematic and the other narrative, with a view to identifying stages and characteristics of Digital Maturity Models and Dynamic Capabilities related to obtaining Digital Maturity, respectively 16 characteristics were identified that are distributed in a non-standard way between seven stages of digital maturity, revealing themselves in the form of challenges, functional strategies and/or achievements in the advancement of digitalization. In turn, seven dynamic capabilities were identified as drivers of digital maturity. In the end, an associative analysis between dynamic capabilities and manifestations of the characteristics of the stages of digital maturity was carried out. Numerous interactions between them were identified, showing that a single capability, when developed, can contribute to different characteristics of the stages of digital maturity, with the exception of the Relational dynamic capability, which was associated with a single characteristic. It is noteworthy that the non-uniformity of characteristics throughout the different stages in the Digital Maturity Models makes it difficult to identify the benefited stage, however it is possible to identify which characteristics they may be, so that, in the end, evolution is possible in the digital transformation process as one all. The low number of identified works that were used for associative analysis is highlighted as a research limitation. On the other hand, this low number presents itself as an opportunity for joint research, and also the development of a Digital Maturity Model that presents, in addition of its stages and characteristics, which dynamic capabilities can contribute to evolution in the listed stages. |
