2023
Autores
Casau, AM; Ferreira Dias, M; Leite Mota, G; Au-Yong-Oliveira, M;
Publicação
European Conference on Research Methodology for Business and Management Studies
Abstract
2023
Autores
Walter, CE; Vale, VT; Au Yong Oliveira, M; Veloso, CM; Sousa, BB;
Publicação
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
Autores
Leite, RAS; Reis, IB; Walter, CE; de Aragao, IM; Au-Yong-Oliveira, M; Fortes, PJ;
Publicação
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.
2023
Autores
Coutinho, EMO; Au Yong Oliveira, M;
Publicação
SUSTAINABILITY
Abstract
Innovation plays a key role in meeting the challenges of the future, but despite the unprecedented investment in innovation, Portugal has seen a decline in the various indicators that assess the country's performance. This study aims to answer questions about the state of innovation in Portugal, based on the relevant global and European innovation indicators, comparing the country's performance with that of Ireland, Belgium, and the Czech Republic. Using secondary data collected from the reports of the last four years, explanatory research was conducted based on statistical and graphical methods in order to establish causal relationships. The areas where the main changes have taken place are presented, highlighting the aspects in which Portugal stands out for superior or poor performance, providing a benchmark for the definition of policies to foster innovation in Portugal. The results demonstrate that institutions, business sophistication, and knowledge and technology score negatively, while creativity stands out as a strength. Environmental sustainability, firms' investment in innovation, and the impact of innovation on sales are aspects that Portugal needs to improve; human capital and the attractiveness of the R & D system deserve positive remarks. It is fundamental to understand how Portugal is preparing for the future and what the country can learn from others. This study is limited by the specific period in analysis, which could affect causal relationships, and the historical perspective could provide guidelines to the understanding of the relative position of the country. This study contributes new perspectives and knowledge about the state of innovation in Portugal, providing clues to entrepreneurs, policy makers, and the scientific community.
2023
Autores
Au-Yong-Oliveira, M;
Publicação
R&D Management
Abstract
2023
Autores
Calheiros-Lobo, N; Vasconcelos Ferreira, J; Au-Yong-Oliveira, M;
Publicação
Sustainability
Abstract
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