Banca de DEFESA: ANA PAULA ZANETTI NEVES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE : ANA PAULA ZANETTI NEVES
DATA : 05/04/2022
HORA: 14:00
LOCAL: por participação remota
TÍTULO:

RELATIONSHIP BETWEEN BIG DATA ANALYTICAL CAPACITY AND COMPETITIVE PERFORMANCE OF DIGITAL STARTUPS: PROPOSITION AND TESTING OF A MODEL

PÁGINAS: 199
GRANDE ÁREA: Engenharias
ÁREA: Engenharia de Produção
SUBÁREA: Gerência de Produção
ESPECIALIDADE: Planejamento, Projeto e Controle de Sistemas de Produção
RESUMO:

Digital startups contribute to the country economy and society with their disruptive solutions, as long as they perform well. Therefore, it is relevant to explore factors that increase the competitive performance of this segment of companies. The big data analytics capability is one such performance leverage factor, given that startups manipulate a large volume of data from the conception of the company. This study, drawing on the theory of the resource-based view, defines big data analytics capability of the company as the data-driven decision making and operations, developed from the available data and the team skills to analyze it. In this context, the objective of this research was to verify whether there is a relationship between big data analytics capability and the competitive performance of digital startups. To address this objective, a survey was conducted with 270 Brazilian digital startups, the data was analyzed using partial least squares (PLS) - structural equation modeling (SEM). As a result, it was found that digital startups develop big data analytics capability supporting decision making. Also, that this capability has a positive and significant relationship with the competitive performance of digital startups, in its two aspects: operational performance and market performance. Another result to highlight showed that, in line with recent research, data was found to be more relevant in developing big data analytics capability, than the team skills in analyzing it. As a main contribution, this research has shown that big data analytics is an intrinsic characteristic of the digital startups in the sample and is related to the competitive performance of this segment of companies.

MEMBROS DA BANCA:
Presidente - Interno ao Programa - 2327844 - SILVIA NOVAES ZILBER TURRI
Membro Titular - Examinador(a) Interno ao Programa - 1842803 - PATRICIA BELFIORE FAVERO
Membro Titular - Examinador(a) Externo à Instituição - CRISTIANE DREBES PEDRON - UNINOVE
Membro Suplente - Examinador(a) Interno ao Programa - 2403225 - UGO IBUSUKI
Membro Suplente - Examinador(a) Externo à Instituição - Fernanda Cecília Ribeiro Cahen - ESPM