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This paper aims to disseminate the results of research aiming to identify the prevalence of dysphagia and related clinical factors in nursing home residents.

A cross-sectional descriptive study was developed, including 99 residents in five nursing homes. A sociodemographic questionnaire and the Gugging Swallowing Screen for dysphagia screening were used for data collection.

The prevalence of dysphagia was 59.59%. A significant correlation was found between dysphagia and worse scores for fall risk, pressure ulcer, level of independence for activities of daily living and cognitive functioning.

Results should be interpreted carefully due to sample size and specific country context. A larger sample must be achieved in further research.

Nurses must receive proper training to perform systematic dysphagia screening, and it should be considered, given the high prevalence, the inclusion of professionals specially trained for rehabilitating dysphagic residents in nursing home teams.

The social and economic burden of dysphagia, in addition to all the implications on the person’s quality of life, requires a differentiated focus on this issue by nursing home managers.

Nursing homes have nurses providing health care; however, trained professionals for dysphagia treatment commonly are not. These results highlight the importance of systematic screening for dysphagia in all residents, thus promoting timely intervention to prevent respiratory and nutritional complications.

This study aims to present an innovative sandbox platform that implements a decision support system (DSS) to assess the sustainable development goals (SDGs) addressed at the municipal level. It intends to determine the relative importance of each SDG in municipalities and explore the synergies that can be discovered among them.

Participatory action research is used to develop a DSS and an algorithm designated as discrete heavy fuzzy was also developed, which extends the Apriori algorithm to include discrete quantitative assessments of the level of SDG compliance by each project. A scenario consisting of three municipalities in Portugal (i.e. Porto, Loulé and Castelo de Vide) was chosen to demonstrate the implementation of the sandbox platform and to interpret the observed results.

The results reveal significant differences in the typology of SDGs addressed by each municipality. It was found that municipal sustainable projects are strongly influenced by the contextual factors of each municipality. Porto has projects that address the first five SDGs. Loulé appears projects that promote innovation, the fight against climate change and the development of sustainable cities. Castelo de Vida has initiatives related to innovation and infrastructure and decent work and economic growth.

This study provides knowledge about the relative importance of the SDGs in Portuguese municipalities and explores the synergies among them. The proposed sandbox platform fills the gaps of the ODSlocal Webtool by proposing a dynamic and interactive approach for the exploration of quantitative indicators regarding the implementation status of the SDGs established in the 2030 Agenda.

This study provides knowledge about the relative importance of the SDGs and the various synergies that exist between them considering the Portuguese municipalities. The sandbox platform presented and developed within this study allows filling the gaps of the ODSlocal Webtool that gathers essentially qualitative information about each project and offers a dynamic and interactive exploration with quantitative indicators of the implementation status of the SDGs established in the 2030 Agenda.

Small- and medium-sized enterprises (SMEs) have become increasingly important in national and international markets because they contribute to the development of local and national economies. SMEs often face serious challenges when competing with multinational companies. The purpose of this paper is to develop a method for assessing SMEs’ competitiveness.

Based on a constructivist epistemology, this study makes an integrated use of cognitive mapping and the measuring attractiveness by a categorical-based evaluation technique (MACBETH). To this end, face-to-face sessions were conducted with a panel of entrepreneurs and senior managers who deal with the challenges of maintaining SME competitiveness every day. The proposed assessment system was tested and validated by the panel members.

The methodological processes adopted in this study provide promising results for decision makers seeking to identify the most competitive SMEs. Specifically, the results emphasize, among other points, the importance of innovation and the human dimension to gaining competitive advantages.

The evaluation system developed in this study is extremely versatile and confirms the usefulness of integrating cognitive mapping and MACBETH to facilitate evaluations of SME competitiveness. However, due to its idiosyncratic and process-oriented nature, generalizations need to be done with caution.

The proposed method can be valuable to researchers seeking to develop mechanisms for evaluating SMEs’ entrepreneurial performance and include specialized know-how and sensemaking in organizational decision-making processes.

The integrated use of cognitive maps and MACBETH contributes to a better understanding of how to assess SMEs’ competitiveness. No prior work reporting the use of this dual methodology in this study context has been found.

Capital restrictions normally exist in the creation of a startup, requiring investors to analyze funding alternatives in a highly competitive climate. Although different types of incentives to support startups exist, these incentives are only available to those companies that fulfill the requirements of the funding program to which they have applied. Due to social and economic changes introduced by the digital economy, however, existing mechanisms for assessing the potential growth of startups are scarce, outdated or simply incomplete, distorting the results of such evaluations.

Evaluating business opportunities and how to exploit them are critical activities for an entrepreneur. This study sought to address this issue through the combined use of cognitive mapping and the Decision EXpert (DEX) technique. Assuming a constructivist stance, the study brought together a panel of experienced entrepreneurs and business investors to identify and articulate the criteria to be considered in the evaluation and classification of startups.

The evaluation system created in this study was tested, and the results were validated by the expert panel on a collective basis, demonstrating that the dual methodology used can increase our understanding of the decision problem at hand and lead to more informed and potentially better evaluations of the potential growth of startups.

The authors know of no prior work reporting the integrated use of cognitive mapping and DEX in this study context.

The purpose of this paper is to investigate how construct values, motivation, commitment, performance and reward are associated with professionals from different countries, from the framework of a hypothetical structural model.

The survey was cross-sectional, descriptive and quantitative. The sample of individuals corresponding to three different countries, with information collected from a sample of 406 respondents, and from a convenience sample of two companies, one company in the oil and gas sector, surveyed in Mexico and the USA, and the other company in the electronics industry, researched in Brazil.

Thus, the association of the construct values with motivation in Mexico, demonstrated a better balance of the proposed hypothetical structural model. The study identified six groups (clusters) of different individuals according to values, and also, its associative relationship according to the variables of the proposed hypothetical structural model. The identification of each cluster was possible, according to the variables of the hypothetical structural model, and the groups with greater proximity between Mexico and USA were very similar, mostly because US companies have many Mexicans in their staff.

Therefore, it is understood that the approach used in this work could eventually be replicated in other regions to seek confirmations and/or contradictions of the results, contributing to future studies to relate such constructs.

It is expected that this work can stimulate others that aim to explore the hypothetical structural model in more countries or organizations in order to understand the influence of the constructs in or ganizational management, enabling people management area to be more effective in conducting relevant management processes for each organization.

The proposed model has shown that organizational management allowed the verification of the association between constructs motivation, commitment, performance and reward, excluding the construct values.

This chapter seeks to conceptualize a new approach to the identification of the factors influencing the adoption of a political risk assessment (PRA) function. By making use of firm value maximization and risk aversion and considering the rationale for risk management activities, a number of determinants are identified which can be deployed in future PRA studies. A model for predicting the PRA adoption decision is proposed. Geographical contextualization in one or more emerging markets (EMs) provides a further dimension of originality as well as reflecting an increasingly important international business phenomenon. Political risk (PR) and political risk assessment (PRA) are of increasing importance in the context of the growth and development of emerging markets (EMs). The latter provide opportunities for inward investment from more developed economies. There has also been a rapid growth in outward foreign direct investment (OFDI) from emerging markets to other economies. This chapter adds to the current understanding of PRA by examining this issue in emerging markets (EMs) through the model developed here.

The aftermath of the recent financial crisis has shown that the ability to innovate is a vital management skill and that the methodologies used to evaluate innovation capability within small- and medium-sized enterprises (SMEs) should be as holistic and integrative as possible. The purpose of this paper is to address this issue through the combined use of cognitive mapping and the analytic hierarchy process (AHP).

Cognitive mapping and multiple criteria decision analysis have proved over the years to be effective in handling a wide range of complex decision problems. Following a socio-technical approach, a non-parametric method of evaluating SME innovation capability – based on the results of group meetings with a panel of information technology entrepreneurs and SME chief executive officers – was created, tested and validated.

The methodological processes adopted in this study provide promising results for decision makers seeking to identify the most innovative SMEs. Furthermore, the sensitivity analyses carried out also supported the findings.

This study confirms the usefulness of integrating cognitive mapping and the AHP to facilitate evaluations of SME innovation capability. However, due to the process-oriented nature of the research, extrapolations without proper adjustments are not recommended.

The panel members who participated in this study consider the proposal extremely versatile and see great potential for further applications in the measurement of SME innovation capability.

The combined use of cognitive mapping and the AHP offers a holistic and well-informed perspective on the issue in question. The authors know of no prior work reporting this approach in the same research context.

The prosthodontics sector is facing major challenges because of scientific and technological advances that imply a clearer definition of lines of action and decision making processes. Measuring quality of service in this sector is a complex decision problem since the perceptions of three main players need to be considered: patients, dentists and dental technicians. This study sought to develop an artificial-intelligence-based (AI-based) method for assessing service quality in the dental prosthesis sector.

Using strategic options development and analysis (SODA), which is grounded on cognitive mapping, and the measuring attractiveness by a categorical based evaluation technique (MACBETH), a constructivist decision support system was designed to facilitate the assessment of service quality in the dental prosthesis sector. The system was tested, and the results were validated both by the members of an expert panel and by the vice-president of the Portuguese association of dental prosthesis technicians.

The methodological process developed in this study is extremely versatile and its practical application facilitated the development of an empirically robust evaluation model in this study context. Specifically, the profile analyses carried out in actual clinics allowed the cases in which improvements are needed to be identified.

Although already applied in the fields of AI and decision making, no prior work reporting the use of SODA and MACBETH for assessing service quality in the prosthodontics sector has been found.

In the present-day context of a sharp decrease in economic and ecological resources, planned conservation and community empowerment are key strategies for sustainable heritage management, because of their cost effectiveness, increased preservation of authenticity and socially development. However, there are still very few practical implementations, so the purpose of this paper is to present applied research to real case studies, as well as to demonstrate that preventive-planned conservation is increasingly successful when linked with the empowerment of local communities and users.

This paper proposes a methodology that focuses on two complementary aspects: planned conservation (material component) – undertaken directly on buildings, through inspection, monitoring, maintenance and repair activities; community empowerment (intangible component) – afforded indirectly to users, through participatory strategies and training in prevention, maintenance and use.

Based on an estimation of costs, this paper suggests that preventive-planned conservation strategies (pre-damage) can be one-third cheaper than the reactive and interventionist approach (post-damage). Moreover, this study also develops innovative ICT tools for the planned conservation of the built heritage, namely a specifically designed computer software/App (“MPlan”) that can be used to compile maintenance plans.

The case studies are among the first applications of preventive-planned conservation strategies to the built heritage in Portugal. Different types of case studies are provided to better illustrate the methodological approach adopted and the results obtained. Special attention is given to the Romanesque Route, a cultural itinerary with 58 monuments (monasteries, churches, bridges, towers and a castle). illustrated manuals contribute to the empowerment of local communities and users.