CIMO - Artigos em Revistas Indexados à WoS/Scopus
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- Advice on how to start beekeeping, memories with bees and the uses of honey: results of an online questionnaire with European beekeepersPublication . Perichon, Samuel; Adamchuk, Leonora; Biber, Lejla; Božič, Janko; Chlebo, Róbert; Filipi, Janja; Leidenberger, Sonja; Mavrofridis, Georgios; Özgör, Erkay; Pocol, Cristina Bianca; Porporato, Marco; Rodríguez-Flores, María Shantal; Vilas-Boas, Miguel; Zacepins, AleksejsBeekeeping is a demanding activity that requires both particular human qualities from those who practise it and an environment that is favourable to bees. This is why the interviewed beekeepers advise to take time to think before starting to keep the bees, to find a mentor, and to always have the desire to get to know the bees even if this is not enough for success. In Northern and Western Europe, beekeepers consider patience and calmness as essential qualities to be a “good beekeeper”, while in Southern Europe, passion for bees is the main driver of success. The reasons for abandonment or failure also include human and environmental factors. To better understand the relationship between beekeepers and their bees, interviewees were encouraged to share their best memories. With years of experience, contemplative memories fade into memorable situations in which bee practices are described, and then in turn, they fade into moments of sociability. Honey harvesting plays an important role. Productive considerations are more expressed in Southern Europe, where it is an exceptional harvest that marks on people’s minds, more than the first honey harvest. The strong connection to their bees and the territory they live in is also expressed in the choice of their favourite honey. Many beekeepers mentioned the local honey production, which they are proud to produce with their own bees, even though they sometimes became criticized for a too high price for this local product. © 2024 International Bee Research Association.
- Artificial intelligence tools for project management: A knowledge-based perspectivePublication . Almeida, Pedro M.; Fernandes, Gabriela; Santos, José M.R.C.A.The rapid evolution of artificial intelligence is pressing the need to understand how organisations can integrate it into namely project management to enhance performance and outcomes. Through a systematic literature review, this paper explores artificial intelligence's potential use in project management. The thematic analysis of relevant literature identified key project management knowledge areas, such as integration, scope, communication, risk and stakeholder management, were as domains where artificial intelligence holds significant potential. The study further investigates the relationship between these knowledge areas and the most suitable types of artificial intelligence tools, such as generative artificial intelligence, and machine learning algorithms for optimisation and automation, based on the dominant knowledge type each knowledge area requires, namely formal, data-driven, or tacit knowledge. Based on the main findings, the study proposes a conceptual framework for the integration of artificial intelligence tools in project management, offering valuable insights for scholars and practitioners. Moreover, guidelines for future research to accelerate the wide adoption of artificial intelligence in the field are proposed.
- Assessing the Shelf-Life of Olive Oil Under Different Storage Conditions: A Review of Predictive ModelsPublication . Ferreiro, Nuno Manuel; Veloso, Ana C.A.; Pereira, José Alberto; Rodrigues, Nuno; Peres, António M.Olive oil holds a significant position in the global vegetable oil market, often reaching high prices compared to other vegetable oils. However, like other oils, it is vulnerable to oxidation, which can degrade its quality during storage, making it essential to determine its shelf-life. So, kinetic or empirical models have been developed to estimate how long olive oil can maintain the legal quality standards necessary for its commercial classification or to be marketed with nutritional or health claim. This study reviews recent advancements in modelling approaches to predict the shelf-life of olive oil under different storage conditions, namely storage duration (from 2 months to 2 years), temperature (20–50 ºC), and light exposure (light versus dark storage). Most models estimate the timeframe in which olive oil remains compliant with regulatory requirements for specific commercial grades, namely extra virgin olive oil, with fewer models addressing health-related claims. Developed models include pseudo zero-, pseudo first-, and pseudo second-order kinetic models and empirical models, derived from experimental data on the oil’s chemical stability over time. While empirical models can be highly accurate, they often require extensive chemical data, including for compounds for which no legal thresholds exist, and complex statistical techniques, limiting their use by non-specialists. In contrast, kinetic models offer simpler and user-friendly mathematical equations. Nonetheless, olive oil’s shelf-life predictions remain influenced by factors such as initial oil composition, packaging materials, and storage conditions, underscoring the ongoing need to refine the predictive models.
- Beyond Tech: The Human Element in Industry 5.0 ProjectsPublication . Santos, José M.R.C.A.; Freitas, Filipa S; Fernandes, GabrielaThe aim of this article is to address the current knowledge gap in key soft skills required when managing projects in an Industry 5.0 context. Using a survey questionnaire, key social, emotional, and behavioral skills were identified and framed through thetheoretical lenses of the Big Five personality traits and Schwartz’s personal values theories. The findings highlight the growingrelevance of emotional resilience, innovation, cooperation, and social engagement, reflecting personality qualities such as open-ness to experience and agreeableness and personal values such as self-direction, universalism, and hedonism. The professionalidentity of project managers is posited to evolve concomitantly.
- From Silos to Synergy: Collaborative Laboratories and the Transformation of Knowledge ProductionPublication . Santos, José M.R.C.A.; Brandão, Ana SofiaThe increasing societal importance of cutting-edge science and technology calls for a closer examination of public policies' influence on the evolving dynamics of knowledge production and transfer. This focus is especially pertinent in peripheral economies such as Portugal, where persistent structural challenges include the limited integration of highly qualified human resources within the economy. The purpose of this research is to investigate how the knowledge coproduction and transfer dynamics of ‘Collaborative Laboratories’ (CoLABs), a new form of intermediary organization in Portugal, differ from those of more traditional science-industry interface set-ups, in the Portuguese context. This research employed a deductive, quantitative, multiple-case, cross-sectional design, utilizing scientific publications as collaboration indicators and applying Social Network Analysis to map and analyze the knowledge coproduction and transfer networks of CoLABs in Portugal, comparing them to Technology Centers. The results reveal that CoLABs prioritize the creation of flexible collaboration networks and the broad coproduction and dissemination of knowledge. CoLABs are found to function as value-occupying hub organizations and serve as crucial bridging entities and are characterized by high connectivity, diverse collaboration, and cohesive research and innovation communities. The need for public agencies and CoLAB governance structures to devise strategies to enhance communication and collaboration within the CoLAB network is highlighted. This is the first study to investigate CoLABs as a new form of intermediary organization in Portugal, specifically examining how their knowledge coproduction and transfer dynamics differ from more traditional science-industry interface set-ups in the Portuguese context.
- Influence of geographical origin on the sensory and volatile profiles of Portuguese monovarietal olive oilsPublication . Rocha, Pedrina; Ruano, Daniela; Ferreiro, Nuno; Martins, Luísa L.; Rodrigues, NunoThe sensory and volatile profiles of monovarietal olive oils from the Portuguese cultivars Cobrançosa and Galega, produced in three geographical regions (Alentejo, Beira Interior, and Trás-os-Montes), were investigated to evaluate the effects of cultivar and geographical origin. All samples were classified as extra virgin olive oil. Sensory analysis revealed significant differences (p < 0.05) between cultivars and among regions. Cobrançosa olive oils exhibited an intense green sensory profile, characterized by high green fruitiness, and tomato, apple, and herbaceous notes, particularly in oils from Trás-os-Montes and Alentejo. In contrast, Galega olive oils showed a more balanced and moderated sensory profile, with lower intensities of bitterness and pungency and variability among regions. Volatile characterization by HS–SPME–GC–MS led to the identification of 26 compounds in Cobrançosa and 29 in Galega olive oils, grouped into seven chemical families. Olive oils from Beira Interior and Trás-os-Montes showed higher concentrations of lipoxygenase-derived C5 and C6 compounds, such as (E)-2-hexenal, associated with green and fruity sensory sensations, whereas Alentejo oils exhibited lower volatile diversity but higher relative abundance of certain sesquiterpenes. Pearson correlation analysis revealed a strong association between sensory descriptors and key volatile compounds, highlighting region specific sensory-chemical patterns. Linear discriminant analysis (LDA) based on sensory and volatile data achieved excellent classification performance, with accuracies up to 100% for both cultivars. Overall, the results demonstrate an interaction between cultivar and geographical origin, supporting the use of sensory and volatile profiling as tools for the differentiation and authentication of Portuguese monovarietal olive oils.
- Motivation Profiles, Personal Values, and Personality Traits: The Interplay in Research Management and AdministrationPublication . Santos, José M.R.C.A.; Fischer, Melinda; Kerridge, SimonThis study addresses a significant gap in the literature by examining the motivation profiles of Research Managers and Administrators (RMAs) and their correlation with personal values and personality traits. Drawing on Self-Determination Theory (SDT), the research sought to propose and validate a conceptual framework specifically for RMAs, introducing the distinct profile of outcome-driven motivation. Empirical data were collected using a quantitative, cross-sectional survey (N=1,095 valid responses) distributed via snowball sampling. The methodological rigor was demonstrated through Exploratory Factor Analysis (EFA), with highly suitable data (KMO=0.915, p<0.001) and high reliability (Cronbach’s alpha ranging from 0.757 to 0.880). The EFA validated the construct of three distinct motivation profiles. RMAs were found to exhibit a predominantly autonomous (intrinsic) drive, confirmed by the highest mean score among the profiles, with statistically significant differences between all three types of motivation. This intrinsic motivation aligns with personal values that emphasize benevolence and universalism while downplaying power and tradition, and personality traits showing high conscientiousness, openness, and agreeableness. This work extends the use of SDT in Science and Technology Studies by validating a specific measurement scale for RMA motivation profiles. The results offer practical guidance, supporting the need for flexible, tailored motivational strategies and policies that enhance intrinsic factors such as autonomy and competency to boost RMA performance.