Banca de QUALIFICAÇÃO: ANA PAULA ZANETTI NEVES

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : ANA PAULA ZANETTI NEVES
DATA : 24/03/2021
HORA: 14:00
LOCAL: por participação remota
TÍTULO:

THE EFFECT OF BIG DATA ANALYTICAL CAPACITY ON THE COMPETITIVE PERFORMANCE OF BRAZILIAN DIGITAL STARTUPS

PÁGINAS: 102
GRANDE ÁREA: Engenharias
ÁREA: Engenharia de Produção
SUBÁREA: Gerência de Produção
ESPECIALIDADE: Planejamento, Projeto e Controle de Sistemas de Produção
RESUMO:

Industry 4.0 technologies have enabled managers to increase productivity and as a result to optimize company performance. One of the representatives of these technologies is big data, which generates cost reduction due to the exponential generation of data and the storage capacity in cloud computing. Among the studies on the effects of the use of big data by companies, it was identified the need to develop analytical skills for its more effective use, generating benefits for the company. One of the segments that has been using this type of tool are digital startups. However, no studies were identified in the Brazilian context that examine the necessary capabilities of digital startups to use big data, generating value and affecting the competitive performance of these types of companies. Thus, the objective of this dissertation is to understand the relationship between the use of big data analytical capacity and the competitive performance of Brazilian digital startups. This work uses the resource-based view as a theoretical framework, when investigating the effect of tangible and human resources on the use of capacity for big data analysis (considered intangible) and its effect on the competitive performance of digital startups. To meet this objective, the structural equation modeling (SEM) technique will be applied using the method of partial least squares (PLS) on the data of digital startups. Data collection will take place through a survey, applied to the segment of Brazilian digital startups. What we want to verify is the existence (or not) of a positive relationship between the use of big data analytical capacity and the company's performance, since nascent digital startups tend to use metrics from the beginning.

MEMBROS DA BANCA:
Presidente - Interno ao Programa - 2327844 - SILVIA NOVAES ZILBER TURRI
Membro Titular - Examinador(a) Externo à Instituição - Fernanda Cecília Ribeiro Cahen - FEI
Membro Titular - Examinador(a) Externo à Instituição - CRISTIANE DREBES PEDRON - UNINOVE
Membro Suplente - Examinador(a) Interno ao Programa - 1842803 - PATRICIA BELFIORE FAVERO
Membro Suplente - Examinador(a) INterno ao Programa - Ugo Ibusuki - UFABC