Lobo, Carla Azevedo
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Lobo
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Carla Azevedo
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Carla Azevedo Lobo
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Carla Azevedo Lobo é doutorada em Gestão pela Universidade Portucalense. É Professora Auxiliar da Universidade Portucalense e leciona em cursos de Licenciatura, Mestrado e Doutoramento, na área das Ciências Empresariais. É também Coordenadora do Curso de Licenciatura em Gestão, desde 2010. É investigadora do REMIT (Research on Economics, Management and Information Technologies). Foi a Investigadora Responsável do Projeto de Investigação ("IEcPBI”) na área dos Negócios Internacionais, financiado pelo COMPETE 2020, FEDER e FCT, entre 2018 - 2022.
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Investigadora do REMIT - Research on Economics, Management and Information Technologies (departamento: DEG)
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REMIT – Research on Economics, Management and Information Technologies
Centro de investigação que que tem como objetivo principal produzir e disseminar conhecimento teórico e aplicado que possibilite uma maior compreensão das dinâmicas e tendências económicas, empresariais, territoriais e tecnológicas do mundo contemporâneo e dos seus efeitos socioeconómicos. O REMIT adota uma perspetiva multidisciplinar que integra vários domínios científicos: Economia e Gestão; Ciências e Tecnologia; Turismo, Património e Cultura.
Founded in 2017, REMIT – Research on Economics, Management and Information Technologies is a research unit of Portucalense University. Based on a multidisciplinary and interdisciplinary perspective it aims at responding to social challenges through a holistic approach involving a wide range of scientific fields such as Economics, Management, Science, Technology, Tourism, Heritage and Culture.
Grounded on the production of advanced scientific knowledge, REMIT has a special focus on its application to the resolution of real issues and challenges, having as strategic orientations:
- the understanding of local, national and international environment;
- the development of activities oriented to professional practice, namely in the business world.
18 resultados
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Publicação Acesso Restrito Dolce far niente and innovation [comunicação oral]2024-07-02 - Oliveira, Susana; Lobo, Carla Azevedo; Azevedo, MónicaBalancing stability with change is a daily challenge to both firms and individuals. Juggling the know with the unknown, the ability to promote innovation from business as usual, new knowledge from the creative power of wisdom is something that requires time and space to reflect. [...]Publicação Acesso Restrito Migration and export performance: The role of the diaspora remittances2024-03-26 - Pacheco, Luís Miguel; Maldonado, Isabel; Lobo, Carla AzevedoMigration and international trade represent two fundamental and interconnected aspects of globalization. This paper studies the impact of migration on bilateral trade, using data for remittances as a proxy for migrants in an augmented panel data gravity model framework. Using data for Portuguese bilateral trade with 187 countries for the period 2008-2017, and controlling for other determinants of trade through a standard gravity model, we find that there is a significant impact of remittances on bilateral trade both in terms of exports and imports, particularly regarding some specific types of goods. The evidence of a significant relation between migration and trade has important implications, since it can provide policymakers an alternative option to promote trade and internationalization beyond conventional trade policy.Publicação Acesso Aberto The impact of entrepreneurial ecosystems on digital transformation: A meso level analysis2023-08-19 - Guimarães, J.; Fernandes, C.; Veiga, P.; Lobo, Carla AzevedoThis work aims to study the impact of meso-level variables of entrepreneurial ecosystems (EEs) on digital transformation. Statistical analysis was used to evaluate the research hypotheses, based on multiple linear regression, with a sample of 172 organisations. The results show that actors from the meso dimension of EEs positively impact digital transformation through knowledge, discoveries, guidance, co-opetition, co-creation and stimulation of technological search. The contributions of this study are in bringing a more refined perspective of the incentives of society actors to digital transformation, besides awakening to their importance in organisational processes and showing that associations for the satisfaction of own interests can culminate in common benefits.Publicação Acesso Restrito Exploring the relationship between innovation, entry modes and destination countries2024-01-03 - Lobo, Carla Azevedo; Santos-Pereira, Carla; Durão, Natércia; Azevedo, MónicaIn a world characterized by globalization, where the internationalization of businesses is pivotal for their prosperity, innovation is emerging as a pivotal strategic choice influencing their growth and competitive edge. Despite the broad consensus on the growing importance of internationalization and innovation, some questions arise about the relationship of innovation with entry modes with less commitment to the market and with destination markets with less risks. In order to determine whether there is a pattern of relationship between internationalization modes, destination markets, and innovation for Portuguese firms, the objective is to study this possibility. To achieve this goal, we carried out an online questionnaire survey to collect data. The questionnaire was carefully designed based on a literature review and included various variables related to the internationalization of firms. It was sent to all 8183 firms listed in the AICEP database of Portuguese internationalized firms through Google Forms tool. The data was collected over an 8-month period, starting in May 2019. To analyze the data, we used IBM SPSS Statistics 27.0 software, applying a quantitative approach. We employed Quantitative Analysis Methodologies: Univariate and Multivariate Exploratory Factorial Analysis (EFA), Correlation analysis and the nonparametric tests Chi-square and Mann-Whitney. Based on the findings, the empirical evidence clearly demonstrates that firms employing internationalization modes demanding higher commitment, along with those targeting geographically and psychologically distant markets, place significantly greater emphasis on innovation as a pivotal factor driving their international expansion.Publicação Acesso Restrito Go international with digital transformation2024-07-01 - Lobo, Carla Azevedo; Moreira, FernandoSem resumo disponível.Publicação Acesso Restrito Teaching capacity for academic and teaching UA HEls staff is enhanced [report]2025-07-30 - Santos-Pereira, Carla; Oliveira, Susana; Lobo, Carla Azevedo; Jayantilal, ShitalEste relatório faz parte do projeto "Erasmus+ - Project 101179706 — EUComplianceM4UA"Publicação Acesso Restrito Training for academic staff 2.1 [report]2025-06-30 - Santos-Pereira, Carla; Oliveira, Susana; Lobo, Carla Azevedo; Jayantilal, Shital; Costa, Eva Dias; Makarenko, OleksiiEste relatório faz parte do projeto "Erasmus+ - Project 101179706 — EUComplianceM4UA"Publicação Acesso Aberto Global talent management during the COVID-19 pandemic? The Gods must be crazy!2022-01 - Fernandes, Cristina; Veiga, Pedro Mota; Raposo, Mário; Lobo, Carla AzevedoThe ongoing COVID-19 pandemic has brought terrifying effects for labor markets all around the world. Just as we witness rapid changes in terms of the ways of working (working from home), we are also observing an increase in unemployment. The ways in which major corporations with international operations process their global talent management (GTM) already represents a challenge in relatively stable times and clearly, in a period of such great and sustained turbulence as current experienced, this task becomes still more difficult. Hence, our research aims to study the impact of GTM on the international performance of major companies during the COVID-19 pandemic period. To this end, we surveyed a sample of 59 large companies that act in external markets. Through recourse to multiple linear regressions, we conclude that GTM practices return positive impacts on levels of international performance. Our research returns theoretical implications in terms of the application of integrated GTM models and with the results of significant relevance to corporations operating internationally, and thus enabling them to better understand which strategic human resource management policies will return the best GTM results.Publicação Acesso Restrito Forecasting the yield curve with macroeconomic information: evidence from European markets2021 - Pinho, Carlos; Rodríguez de Prado, Francisco; Maldonado, Isabel; Lobo, Carla AzevedoIn this paper we analyse the predictive content of the introduction of macroeconomic variables in term structure dynamic models. We tested the dynamic models using data from the public debt, inflation rate and annual variation of the industrial production index for four European countries: Portugal, Spain, the United Kingdom and Germany. Results obtained for the period from January 1990 to December 2012 indicate that considering macroeconomic factors makes a positive contribution to the improvement of forecasts for different countries and maturities. However, the paper presents evidence of time-varying forecast accuracy, not only across yield maturities and forecast horizons, but also over data subperiods.Publicação Acesso Restrito Adoption of Generative AI in Portuguese Higher Education: An Empirical Study of Perceptions and Academic Practices2026-03-24 - Santos-Pereira, Carla; Durão, Natércia; Ferreira, Maria João; Sobral, Sónia Rolland; Lobo, Carla Azevedo; Moreira, FernandoGenerative artificial intelligence (GenAI) is diffusing rapidly in higher education, yet empirical evidence from Portugal remains limited. We conducted an online questionnaire (n = 77) targeting higher-education faculty and researchers in Portugal and analyzed the data using descriptive statistics and non-parametric tests (Mann–Whitney, Kruskal–Wallis). Participants most frequently reported using QuillBot, followed by Bing Chat and ChatPDF, with a sizable minority indicating the use of additional, unlisted GenAI applications and reported use cases clustered around idea generation, drafting, summarization, proofreading, and coding, while trust and appropriateness varied by task type. Inferential tests suggested differences by gender and by discipline for selected items (e.g., p-value=0.008, p-value=0.039, p-value=0.023); given the small and imbalanced subgroups, these findings should be interpreted cautiously and supplemented with effect sizes and confidence intervals. No statistically significant differences by age or gender were observed for the ethical-concerns items. We discuss implications for training, assessment, and policy design, and outline pragmatic recommendations for responsible GenAI integration in Portuguese higher education.