ENIDH - GP/GTL - Artigo Científico
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- Ambidextrous capacity in small and medium-sized enterprises.Publication . Felício, J. Augusto; Caldeirinha, Vítor; Dutra, AdemarThis study examines the ambidextrous capacity—the ability to respond simultaneously to both disruptive and incremental innovation processes—of small and medium-sized enterprises (SMEs) in Portugal. The purpose is to understand the organizational ambidexterity of SMEs and its relationship to organizational performance and innovation capacity. The objectives are to evaluate the characteristics that identify ambidextrous organizations and analyze the effect of organizational ambidexterity on performance, supported by the contingency-based approach, organizational theory, behavioral theory of the firm, and organizational learning theory. After factor analysis is performed, a structural equations model is used to analyze a sample of 202 valid responses. The analysis shows that, for SMEs, disruptive innovation factors relate mainly to innovation capacity and incremental innovation factors relate to organizational performance. The confirmation of organizational ambidexterity in SMEs and the increased recognition of the importance of disruptive innovation are relevant contributions to the literature.
- Assessing the effectiveness of performance indicators in health organizations and professionalsPublication . Ferreira, Alexandre; Dias, ÁlvaroSeveral questions have been raised regarding the credibility, and consequent real value, of the assessment of professional performance as a management tool, considering that there are reports of situations in which the professionals are being evaluated based on objectives to be accomplished rather on the excellence of the performance of their task. As such, this study aims to analyse the introduction of metrics for evaluating the performance of health professionals’ performance indicators, and to identify the changes resulting from the introduction of performance indicators in the evaluation of physicians. Results reveal that physicians feel conditioned in the exercise of their professional activity by the need to comply with established performance indicators. Furthermore, it was also found that the cost reduction in primary healthcare may be insignificant when compared to the increase in secondary healthcare costs
- Cape Verde: Islands of Vulnerability or Resilience? A Transition from a MIRAB Model into a TOURAB One?Publication . Sarmento, Eduardo Moraes; Silva, Ana Lorga daSmall island developing states (SIDSs) traditionally face a set of challenges like the weak and highly fragile economic configuration, environmental issues, and a traditional dependence on a few economic activities forcing them to open the economy to the exterior. Therefore, their development model, like in Cape Verde, depends on migration, remittances, dependence on aid, tourism, and state employment. The current research offers an insight into the nature of Cape Verde’s economy as a SIDS economy and the degree to which the country has been relying on tourism receipts, external remittances from migrations, aid programs, and government services. Understanding Cape Verde’s development model is important to clarify the challenges the country faces and its development needs to gather a long-term resilience and to understand if it is changing from a MIRAB (Migrations, Remittances, Aid, and Bureaucracy) model into another one.
- The complexity paradigm Towards a model for the analysis of social systems and problemsPublication . Parreira, Artur; Silva, Ana Lorga daThe article proposes the complexity paradigm as an innovative reasoning for analyzing problems in behavioral sciences. It begins to explain the contributions of the major authors of the complex reasoning paradigm: Gödel, Prigogine and Morin. They offer the basis to a model of analysis and assessment of complex systems and problems (ACSIP Model). The four postulates of the Model are explained, emphasizing the principal hypothesis of the Model – the level of cognitive operations is the most important factor of complexity of a system; then to understand it, the cognitive level of analysis must be at minimum equal to that of the system or the problem under analysis. In the second part the article, an illustrative application of the ACSIP Model is applied to the analysis of the SDG 9 from the UN 20/30 agenda, showing the analysis of a complex problem, guided by the complexity reasoning model. Following that, an empirical research is presented, to verify the hypothesis underlying the fourth postulate of the model. The results confirm the hypothesis: the use of information by a group is inversely proportional to the use of power (authority). These results allow us to conclude that the complex reasoning paradigm is a promising tool to obtain synergic results in the scientific analysis and resolution of concrete social problems and to face the complex challenges brought by artificial intelligence systems.
- Construction of Social Sustainability in Milk Production Systems in Central MexicoPublication . Ruiz-Torres, M. E.; Lorga da Silva, A.; Arriaga-Jordán, C. M.; Martínez-Castañeda, F. E.Objective: To build mathematical models to evaluate the social sustainability of small-scale milk production systems. Design/Methodology/Approach: Thirty small-scale cowsheds were analyzed. Two models were built using multivariate regression, estimated with ordinary least squares and considering the factors that producers perceive as important for social sustainability. Results: The first model (ER) included tangible variables and the second intangible variables (SR). Both models explained more than 80% of the variables associated with social sustainability. Study Limitations/Implications: The results represent an effort to link the statistical analysis with qualitative data that is difficult to quantify. Conclusions: The ER and SR models represent a proposal for counting immaterial indicators so they can be incorporated into the sustainability analysis. Both models could be a methodological proposal to connect statistical data with purely qualitative data such as perception.
- Covid-19 in Portugal - Economical consequences (an approach)Publication . Silva, A. L.This work intends to show how the pandemic SARS-CoV-2, responsible for the disease Covid-19, has affected all the world in several domains, also, differently from country to country. In particular, the way it has affected the Portuguese life, mainly concerning the country’s Economy. It also shows the evolution of the transmissibility rate, the numbers of infected cases and deaths as well as the vaccination plan in Portugal, which was a case of success due the implementation of a Task Force with that focus. Knowing that different factors are contained in Economic concept, such as health, GDP, inflation, employment (most of it could be affected by Lockdown measures), tourism flow among others. An approach related to the evolution of the disease in Portugal will be presented in this article.
- Cruise destination characteristics and performance Application of a conceptual model to North Atlantic islands of MacaronesiaPublication . Luz, Luís Machado; Antunes, António Pais; Caldeirinha, Vítor; Caballé-Valls, Jordi; Garcia-Alonso, LorenaThe purpose of this study is to develop a conceptual model for both port and cruise destinations composed by site and situation-related factors as the main drivers with a direct influence on the performance of the cruise destination. A moderator variable was also included on the model, due to the different characteristics that cruise ports at distinct levels of development present. The conceptual model was then applied on the North Atlantic archipelagos of the Macaronesia region through a survey aimed at cruise specialists and stakeholders. The results of a structural equation model confirmed the concept model, which was subsequently validated through several interviews to senior officials of cruise line operators. Significant differences were observed between the more developed ports of the region and the less developed ports . For the more developed ports, there is a shared influence of both site- and situation-related factors, while in the less developed ports the main drivers are mostly restricted to site-related factors.
- Cruises tourism in Lisbon: the impact on the portuguese economy.Publication . Mendes, Zorro; Mendes, Dulce; Delgado, Olga; Fabrizio Serra editoreThis paper aims to demonstrate the broad impact of demand for goods and services on the Portuguese economy, made by cruise tourists who stop over in the Port of Lisbon. The paper applies the input-output matrix methodology in order to measure both direct and indirect effects on the Portuguese economy. Based on the most updated data available (2016), it is shown that direct demand exerted by cruise tourists in Lisbon, in the total amount of EUR 17,799,011, limited to certain activity sectors, spreads across all sectors of the national economy, by inducing to a dynamic in total national production, reaching EUR 29,329,662 (which can be quantified for each of the 62 activity sectors considered in the input-output matrix).
- Demand of Mozambique seaportsPublication . Barros, C.P.; Zorro, M. J.; Mendes, Dulce; Delgado, OlgaThis paper presents an Analysis of Mozambique seaports from 2001-2015 using the Anderson, De Palma and Thisse’s ideal type demand model. The seaports of Mozambique serve not only Mozambique but also other countries without acess to sea. For example Beira seaport as a specific train line to Zambia. The ideal type model of Anderson, Palma and Thisse is a model of heterogenous seaports that is estimated in two steps and accounts for endogeneity of the price. The results reveal that the seaport market share increases with income and with the price of container cargo, while decreases with the price of maritime transport services and the price of truck transportation.. The price is endogenous in demand equation and the endogeneity is taken into account in the demand estimation. The price of trucks has a negative coefficient and therefore is a complementary good. Demand elasticities are presented. A robustness test is done estimating also the Berry, Levinsohn, and Pakes approach and comparing the results.
- Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approachPublication . Lima, C.; Relvas, S.; Barbosa-Póvoa, A.P.This paper addresses the strategic and tactical planning of a downstream oil supply chain (DOSC) subject to different sources of uncertainty. This problem is formulated as a mixed-integer linear programming (MILP) model, whereas uncertainty is tackled using chance constrained programming with fuzzy parameters. The MILP model aims at determining the network design and the products distribution plan in a cost-effective way. A real case study on the Brazilian oil industry is used to validate the model. The proposed model shows to be a valuable decision-support tool in order to aid the decision-making process in the strategic and tactical planning of real-life problems.
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