2022
Authors
Au-Yong-Oliveira, M;
Publication
Innovation, Technology and Profound Change in Society – What Exists beyond ‘Like’?
Abstract
2023
Authors
Moço, B; Duarte, S; Oliveira, F; Walter, CE; Freitas, R; Au-Yong-Oliveira, M;
Publication
2023 18th Iberian Conference on Information Systems and Technologies (CISTI)
Abstract
2023
Authors
Casau, AM; Ferreira Dias, M; Leite Mota, G; Au-Yong-Oliveira, M;
Publication
European Conference on Research Methodology for Business and Management Studies
Abstract
2022
Authors
Au-Yong-Oliveira, MA; Walter, CEW; Mangiatordi, AM;
Publication
European Conference on Research Methodology for Business and Management Studies
Abstract
2023
Authors
Walter, CE; Vale, VT; Au Yong Oliveira, M; Veloso, CM; Sousa, BB;
Publication
ADMINISTRATIVE SCIENCES
Abstract
The present study aimed to analyze the current state of the art regarding brand hate with the main intention of identifying possible gaps to be explored in future studies. Brand hate can be described as a set of negative emotions on the part of consumers concerning a certain brand, whose implications involve a reduction in the profitability of companies, as well as of their market shares. From the research carried out in the Scopus and Web of Science databases, 90 publications related to the theme were identified, of which 25 were selected and read in full. The analyzed literature points out that research on the subject has focused almost exclusively on the development of the phenomenon and its consequences from the perspective of consumer behavior. Therefore, the emphasis has been on identifying its direct antecedents, on the effects of its mediators in a set of behaviors such as complaints, negative word of mouth, protests, sponsorship reduction and assignment, brand change, and wishes for revenge, among others. Few studies have been dedicated to understanding the direct effects of brand hate on consumer behavior, its evolution over time in different industries and contexts, who its mediators are, and how the phenomenon is perceived and managed from the perspective of the companies involved in this phenomenon, providing opportunities for future research.
2023
Authors
Leite, RAS; Reis, IB; Walter, CE; de Aragao, IM; Au-Yong-Oliveira, M; Fortes, PJ;
Publication
INTERNATIONAL JOURNAL OF INNOVATION AND TECHNOLOGY MANAGEMENT
Abstract
Licensing technologies are one of the main ways to produce and bring academic research to society. Despite previous studies' dedicated efforts to identify licensing probabilities, the question of how the expertise and prestige that a university has in a given technological field influences the licensing probabilities is still little addressed. This article aims to identify information in patent documents to estimate the probabilities of licensing technologies produced at the university. For that, we performed a data mining of licensed and unlicensed patents from an important Brazilian University (n = 1,578). We estimated the licensing probabilities using the Logistic Regression technique, based on the Maximum Likelihood Estimation. The results suggest that the variables of know-how in the main field and Technological strength in the main field are the most important/influential variables in estimating the probabilities of licensing a given patent. The main conclusion obtained from the results is that: universities, to obtain more licenses, must increase their know-how (expertise) in some technological fields, maintaining a reasonable level between specialization and diversification. Additionally, the higher the citations received (prestige/recognition) by a university in a given technological field, the greater the probability of patent licensing in that technological field. In terms of practical contributions, this study suggests that: investments in specific technological fields generate more competitive advantages for the university and, thus, more technological successes.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.