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Tourism in Coimbra today is influenced by the fact that the Univer(s)city was distinguished as a World Heritage Site in 2013. The number of visits has grown very significantly in recent years, but the diversification of the tourist offer is still weak and unable to take advantage of existing resources. This paper aims to present genealogy tourism as an alternative urban cultural tourism in Coimbra.

Methodology involved mapping the Jewish culture elements in the city of Coimbra, and a route was outlined and proposed.

Genealogy tourism resources are identified in the historic centre of the city. These alternative spaces need urban rehabilitation and (re)functionalisation, which allowed the authors to rethink tourism in Coimbra. They are the motivation to visit for all urban cultural tourists, especially Israelis/Jews, and provide contact with places where the experiences of ancestors combine with the history and memory of places, with recent discoveries and the elements of Jewish culture in the city.

It is concluded that the quantity, diversity, authenticity and singularity of the heritage resources that bear witness to the Jewish presence in Coimbra are sufficient assets to create a route, to enrich the tourist experience in the city and to include the destination in the Sephardic routes.

This paper proposes an algorithm for the extraction of reduced order models of MEMS switches, based on using a physics aware simplification technique.

The reduced model is built progressively by increasing the complexity of the physical model. The approach starts with static analyses and continues with dynamic ones. Physical phenomena are introduced sequentially in the reduced model whose order is increased until accuracy, computed by assessing forces that are kept in the reduced model, is acceptable.

The technique is exemplified for RF-MEMS switches, but it can be extended for any device where physical phenomena can be included one by one, in a hierarchy of models. The extraction technique is based on analogies that are carried out for both the multiphysics and the full-wave electromagnetic phenomena and their couplings. In the final model, the multiphysics electromechanical phenomena is reduced to a system with lumped components with nonlinear elastic and damping forces, coupled with a system with distributed and lumped components which represents the reduced model of the RF electromagnetic phenomena.

Contrary to the order reduction by projection methods, this approach has the advantage that the simplified model can be easily understood, the equations and variables have significance for the user and the algorithm starts with a model of minimal order, which is increased until the approximation error is acceptable. The novelty of the proposed method is that, being tailored to a specific application, it is able to keep physical interpretation inside the reduced model. This is the reason why, the obtained model has an extremely low order, much lower than the one achievable with general state-of-the-art procedures.

The purpose of this paper is to involve the differences in the entrepreneurial intentions of student at higher education institutions (HEIs) in the Portuguese regions (mainland and insular).

Applying a sample of 594 valid responses, the authors analyzed the data according to linear regression models.

The results convey how HEI students generally do not intend to become entrepreneurs in both the mainland and the insular regions. Although HEI students broadly do not aim to launch their own businesses, the results show that students in mainland regions feel they have the skills to start a business and drive it to success. In insular regions, students feel encouraged by their friends and family to set up their own business. When comparing insular and mainland regions, the results demonstrate how in insular regions, there is a greater probability that HEI students become entrepreneurs than in the mainland regions. Furthermore, entrepreneurial intentions in the mainland regions develop in terms of “opportunities” while driven by necessity in the insular regions.

This furthermore makes recommendations to regional governments and to HEIs in order to enable better encouragement of entrepreneurship in academia.

This study is original and innovative due to its comparison of the entrepreneurial intentions prevailing in mainland and insular regions and may propose new highlights to the academic scientific literature.

Regional innovation performance is an important indicator for decision-making regarding the implementation of policies intended for regional development. However, regional development policies have led economies to very different competitive positions in matters of innovation. To address these issues, this paper aims to identify the variables that most contribute to the positioning of economies in terms of performance innovation in Europe.

The data for this study were collected at the regional innovation scoreboard. This paper uses a quantitative methodology through a multivariate statistical technique (discriminant analysis).

The results suggest that specific innovation strategies explain the competitive positioning of economies within each group of countries. It was possible to demonstrate that economies with leader classification show greater comparative robustness in the variables “Small and medium enterprise (SMEs) with product or process innovations,” “SMEs with product or process innovations,” “research and development (R&D) expenditure public sector” and “population with tertiary education,” constituting an effective instrument of innovation policy. Furthermore, it was possible to show that the economies belonging to the modest group do not have a competitive advantage in any of the variables under study, thus providing a reflection opportunity for policymakers at this level.

The present research identifies which variables are most relevant to the classification considering the regional innovation performance in leader, strong, moderate and modest. Several suggestions were given to companies, policymakers and higher education institutions in the sense that the regions where they operate can improve their innovative performance, which may help to a change in their current classification.

This paper aims to understand how the different stakeholders assess the adequacy of smart specialization policies defined for their regions.

This paper has followed a quantitative methodology through the application of questionnaire surveys to stakeholders of the various territorial regions in Portugal.

As a result, from the “resource-based view” approach applied to the various regions, the attained results highlight that the suitability of smart specialization policies defined for the Portuguese regions is not unanimous among its stakeholders.

The research can be used as a tool to assist regional policymakers in strategic reflection when defining and adjusting smart specialization strategies in their territories.

The past few decades have produced a number of investigations into the correlation between project managers’ competencies and project success. As a result, competencies lists have become extensive “shopping lists.” The purpose of this paper is to define the most important competencies to project success and investigate their correlations.

The authors surveyed project managers on the importance of 28 project manager competencies to project success. Data were analyzed using univariate and multivariate procedures.

Data show that communication, commitment and leadership appear as the three most relevant aspects. Multivariate analysis identified seven groups of competencies: leadership, self-management, interpersonal, communication, technical, productivity and managerial.

The results confirm a growing trend toward soft skills and reinforce the need for an update on project management education to fill the gap between theory and practice.

Project manager competencies lists have become too extensive, and the field is in constant change; therefore, this study updates the discussion and downsizes the number of competencies to fewer, more relevant items.

In most restaurants or dining facilities, even though a set of condiments such as salt, black pepper, ketchup, and mustard, is placed on the tables, and such condiments are a staple of many cuisines, they have been largely ignored with respect to understanding their effects on food choice. The purpose of this study is to determine whether condiments placed on tables at dining facilities can affect consumers’ cuisine selection.

Four individual booths were set up with four different condiment configurations: 1) branded ketchup and mustard, 2) unbranded ketchup and mustard, 3) unbranded soy sauce and chili-garlic sauce, and 4) no condiment. In all, 68 participants were assigned in random sequence to all booths, with each given a menu listing nine different cuisines (three North American, three Asian, and three Hispanic cuisines) in a random order, and asked to identify their top three preferred cuisines at each booth.

Participants chose Asian cuisines with higher priority than Mexican and North American selections when Asian condiments were placed on the table. Interestingly, this effect occurred only when the participants had noticed the condiment setting, but not when they had unnoticed it. Such Asian condiment availability-induced cuisine selection was also more pronounced for external eaters.

Food service professionals and business owners, especially in food courts comprised of a variety of ethnic food vendors, should perhaps consider placing a set of condiments associated with their target cuisines at visible table spaces at dining facilities, thereby leading customers to select their cuisine items.

This study provides new empirical evidence that consumers are more likely to select cuisines congruent to the choice of condiment setting placed on their dining table.

The purpose of this study is to compare different models integrating the TOC and Lean approaches.

The models of reference were identified through a comprehensive literature review. A qualitative and comparative analysis was carried out by pointing out the strengths, weaknesses and gaps of models integrating the TOC and Lean based on the production system requirements.

The findings indicate that these models can be improved by introducing aspects related to the system structure such as main key performance indicators, type of shop layout and performance metrics to evaluate the improvements implemented in the production system. The results provided evidence that the TOC and Lean are complementary approaches, and the individual gaps of each approach seem to be, in the most part, offset by the virtues of the other.

This study enables decision makers and industrial managers to evaluate the practices adopted in the production environment, as well as the use of the different set of continuous improvement practices. This article also minimizes the literature gap regarding whether and how integrated Lean and TOC approach can be used in the firms.

This study contributes to the body of literature on Lean by comparing three different models integrating Lean and the TOC. Furthermore, a research agenda is suggested for future research aimed at developing new models integrating both approaches, aiming to increase the competitiveness of the production systems.

The purpose of this paper is twofold: first, to analyze whether musical priming induces greater recall of brands and, second, to study the emotional priming effects of music, in comparison with non-emotional music, including gender comparison.

Through the utilization of neuromarketing tools and protocols (quantitative and qualitative), the study explores facial eltromyography (EMG) capabilities and skin conductance responses (SCR) measuring consumers’ emotional responses.

The findings show that at least, 40 percent of the total sample recognized a musical priming effect. The study measures the emotional response to musical priming as positive. Emotional video recognition was much higher in females. Both the self-report and physiological measures support the notion that emotional background music can elicit emotional responses in consumers.

The research measured emotional response to musical priming without testing how these responses influence consumers’ attention and overall behavior.

The five senses, especially hearing, play an important role in the purchasing decision process and in the individual customer experience. People become aware of the products and brands that surround them and make their choice. In terms of digital trading activities and online sales, increasing physiological understanding of musical priming reactions may mean that, for companies, selling low-end online goods may be economically worthwhile to cooperate with platforms such as Spotify or iTunes to select individual users.

More research is needed in priming process techniques in order to better understand how primes activate knowledge in the consumer’s mind. Understanding this process will inform marketers how close a prime needs to be to a target to have an effective influence, as well as when marketers should be concerned about negative priming effects.

At the best of our knowledge, it is the first time that music priming is analyzed in terms of self-report and physiological measures From the measurement’s perspective, the results reaffirm that physiological and self-report measures capture different levels of information. While SCR and EMG capture real-time subconscious responses, MAN scale self-report data provide information regarding how cognitive effort, in terms of intensity and valence, affects brand recall.