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Repositório Institucional da Universidade NOVA de Lisboa
Entradas recentes
Synthesis of N-Heterocyclic Carbene Metal Complexes and Their Application in Catalysis and Cancer Therapy
Publication . Mourão, Henrique Sovela; Cantabrana, Beatriz Royo; Lenis-Rojas, Oscar; Afonso, Carlos Alberto
This thesis focuses on the design, synthesis, structural characterization, and application of Mn(I) and Ir(III) complexes bearing N-heterocyclic carbene (NHC) and mesoionic carbene (MIC) ligands. The work explores the versatility of triazolylidene- and imidazolylidene-based ligands in stabilizing low-valent metal centers and enabling both catalytic and biomedical applications. (...)
De-risking corporate engagement in blue carbon markets: leveraging technological innovations for monitoting, reporting and verification excellence-navigating carbon markets: opportunities for corporations with net zero targets in an evolving regulatory landscape
Publication . Alexandre, António Trindade Tavares de Oliveira; Tavares, Rodrigo
This paper critically examines the role of blue carbon ecosystems in climate mitigation, exploring both their promise and persistent barriers, including scientific, technical, financial, and policy challenges. It reviews advances in measurement, reporting, and verification (MRV) technologies (satellite and drone) alongside evolving policy and blended finance frameworks. Drawing on case studies, the analysis demonstrates how robust MRV standards, risk management, and inclusive engagement enable scalable, investable projects. Technology and finance become the dual engines of de-risking, converting ecological uncertainty into measurable opportunity for climate resilience and sustainable development.
Democratizing Generative AI for Sustainable Competitive Advantage
Publication . Costa, Carlos J.; Aparicio, Joao Tiago; Aparicio, Manuela; Information Management Research Center (MagIC) - NOVA Information Management School; NOVA Information Management School (NOVA IMS)
As generative artificial intelligence (GenAI) diffuses across industries and becomes broadly accessible, the locus of sustainable competitive advantage shifts from technology ownership toward the quality of employee-level adoption and use. This paper develops a cross-level conceptual framework linking firm-level GenAI investment and governance to individual-level AI democratization, defined as the extent to which employees meaningfully, responsibly, and effectively use GenAI in their daily work. We argue that individual-level AI democratization, grounded in three micro foundations (AI usefulness, ease of use, and AI literacy), mediates the relationship between organizational GenAI investments and sustainable competitive advantage. Drawing on the technology acceptance model, resource-based theory, and emerging empirical evidence on AI productivity effects, we advance six propositions linking perceived usefulness, ease of use, AI literacy, responsible use, and innovation outcomes to organizational transformation and sustained relative performance. The framework provides a measurement scaffold for empirical research and offers managerial guidance on treating GenAI as augmentation infrastructure rather than solely as automation. We conclude by outlining future research directions, including longitudinal and cross-cultural investigations of literacy, governance, and transformation dynamics.
Understanding consumer willingness to pay for ethically labelled food products: a choice-based conjoint analysis-hydroponic business model for company X: from crop selection to implementation strategy
Publication . Haupt, Malte; Cardoso, Elizabete
This paper explores consumer preferences for ethically labelled food products, with a focus on Fair Trade certification and NGO-linked charitable giving. Building on a business project for the NGO Company X, the study employs a Choice-Based Conjoint experiment to estimate
willingness to pay for ethical attributes across hedonic and utilitarian product categories. The results show that both Fair Trade and NGO support increase product choice, with NGO support yielding the highest willingness to pay. Additionally, ethical cues had a stronger impact on utilitarian products. The study ends with practical recommendations for NGOs and brands, offering insights for researchers and managers.
Post-error performance adjustments during frequency discrimination in mice.
Publication . Anh, Nguyen Kieu; Renart, Alfonso
Perceptual decision-making involves choosing between competing sensory signals or stimuli, and errors are an inevitable part of the process. There has been accumulating evidence regarding adjustments after errors such as post-error slowing (PES) and post-error improvement in accuracy (PIA). We recently reported the presence of enhanced perceptual accuracy after error trials in a delayed-response 2AFC frequency discrimination task in head-fixed mice. To investigate this phenomenon more thoroughly, we
developed a no-delay version of the task that allows for greater ease of task acquisition and hence higher yield of quality data, which resulted in a substantial dataset of 23 mice spanning tens of thousands of trials. In conducting the analysis, we found that the presence of PIA could be occluded if the variation in performance across sessions was not taken into account. Thus, in order to succinctly capture this effect, we adopted a generalized linear mixed model with sessions nested in animal IDs as random effects, which gave us reliable and consistent evidence of positive impact of error on accuracy of the following trials across animals and sessions. (...)