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This work uses survey data from the Portuguese Securities Market Commission (Comissão de Mercado de Valores Mobiliários – CMVM) to examine financial literacy and literacy bias. The main objective of this study is to shed light on this issue by identifying the individual characteristics that are associated with financial literacy, namely overconfidence and underconfidence, which in turn might help explain individuals' financial decisions. The study distinguishes two groups, i.e. students and nonstudents, and considers several characteristics that are usually employed in this stream of research.

The data are based on a survey conducted by a partnership between the CMVM and a consortium of Portuguese universities. This paper has a three-fold aim. First, it studies the main individual features associated with objective financial literacy. Second, it analyzes the relationship between those variables and the bias between self-perceived and objective literacy, distinguishing overconfidence and underconfidence. Third, and most originally, this framework was also used to examine the differences between students and nonstudents. Those aims are pursued using cross-sectional ordinary least squares (OLS) regressions, except for the study of the literacy bias, for which the authors use an ordered probit.

Literacy is higher in individuals of the male gender who are older, have higher incomes, live in metropolitan areas, are highly educated, have a field of study related to finance and have high self-perceived literacy. Younger people are more overconfident. Unconditionally, women are less overconfident than men, but conditionally, they overestimate their knowledge. People holding securities and with a field of study related to finance are more overconfident. The gender effect is mainly driven by students, and the impact of a field of study and of holding securities on overconfidence decreases and increases, respectively, for students. The results highlight the importance of financial education.

Due to the way that the questionnaire was made available, there is no guarantee that the sample is representative of the Portuguese general population, or, for that matter, representative of the typical Portuguese retail investors or households. Also, there is no guarantee that the same individual did not answer the questionnaire more than once, although this is highly improbable. The link to the online questionnaire was only transmitted within e-mail databases owned by the CMVM and Portuguese universities, so the authors cannot guarantee its unbiasedness.

The authors' results may help the National Plan for Financial Education (the acronym in Portuguese is PNFF) fine-tune the required actions towards different target groups and, most importantly, highlight that different groups may require different approaches aiming to narrow the gap between objective and perceived literacy. The first step should be creating procedures to provide feedback on the objective and perceived literacy of those who enroll in financial formation programs.

The study distinguishes two groups, students and nonstudents, providing additional insights that might guide policymakers on how to structure financial education to enhance individual financial behavior. This is especially important in a country such as Portugal which has the lowest objective financial literacy in the Eurozone.

This study contributes to the financial literacy literature, in particular to the stream of research that focuses on psychological biases, by shedding light on the factors associated with both individual overconfidence and underconfidence. Differentiating between students and nonstudents provides additional insights, which might guide policymakers on how to structure financial education to enhance individual financial behavior.

This paper aims to better understand the conditions that can lead to high and low opportunity entrepreneurship in countries with oil rents. Additionally, the study aims to find out the differences between countries with oil rents and countries without oil rents.

A configurational analysis based on fuzzy-set qualitative comparative analysis was performed for a sample of 46 countries with oil rents and a sample of 20 countries without oil rents, using Country data from the World Bank World Development Indicators, World Bank Worldwide Governance Indicators, KOF Swiss Economic Institute, and Global Entrepreneurship Monitor.

The results show that control of corruption is important to achieve high levels of opportunity entrepreneurship in countries with oil rents and countries without oil rents alike. It is highlighted that the abundance of oil resources in a given country is not a curse, if some conditions are met. Multiple configurations that lead to high levels of opportunity entrepreneurship in countries with oil rents are presented. The study shows that none of the antecedent conditions is necessary per se, it is the combination of conditions that leads to the outcome of interest. The study indicates that either high control of corruption or low taxes should occur, no matter the combination of conditions, to achieve high levels of opportunity entrepreneurship.

The relation between control of corruption and entrepreneurship is complex and, in spite of the insights that were gathered herein, much is still to be explored. The coverage rate of the solutions shows that there are countries with high levels of opportunity entrepreneurship that do not fit in any of the obtained configurations. The sample size is also a limitation. Furthermore, to compute the set membership thresholds, the anchors were based on the percentiles, given the lack of theoretical basis to do so. Thus, other methods should also be used in the future, if possible with a larger data sample.

The obtained results have implications for policy makers, authorities and potential entrepreneurs. In countries that are oil producers, policy makers aiming to promote opportunity entrepreneurship should take into account that it is the combination of conditions that is important, and not each condition by itself. They should consider that several solutions are possible. Authorities aiming to promote anti-corruption reforms, can leverage the findings of this study to demand for more resources to institute practices and structures to better control corruption, and should articulate among themselves the actions to carry on to improve the level of opportunity entrepreneurship in their country. Potential entrepreneurs can use the findings of this study to ask for anticorruption reforms and tax reforms, and they should use their entrepreneurial talent to try to speed up the change.

By overlapping streams of research in entrepreneurship, institutions and oil curse, this study makes several contributions to the entrepreneurship literature. Different from extant literature, the study uses a configurational approach and identifies the combinations of conditions that lead to high and low opportunity entrepreneurship in countries with oil rents. The non-linearity of the configurations is highlighted. Furthermore, for the first time, the study includes a panel without oil rents in the analysis, which enabled a comparison with the other set of countries and provides new insights about the importance of control of corruption to achieve high levels of opportunity entrepreneurship.

The purpose of this study is to propose a measure for earned attention and a model and procedure for the maximization of earned attention by a company over a period of time.

Utility functions are used as the base of the earned attention measure. An evolutionary algorithm – a memetic algorithm – is applied to identify strategies that aim to maximize earned attention. Computational analysis is performed resorting to simulated data, and the memetic algorithm is assessed through the comparison with a standard steepest ascent heuristic.

The shape of the utility functions considered in the model has a huge impact on the characteristics of the best strategies, with actions focused on increasing a single variable being preferred in case of constant marginal utility, and more balanced strategies having a better performance in the case of decreasing marginal utility. The memetic algorithm is shown to have a much better performance that the steepest ascent procedure.

A new mathematical model for earned attention is proposed, and an approach that has few applications in business problems – a memetic algorithm – is tailored to the model and applied to identify solutions.

The purpose of this paper is to offer a comprehensive overview of current research on customer behavior in the business-to-business (B2B) context and propose a research agenda for future studies. Despite being a relatively recent area of interest for academics and practitioners, a literature review that synthesizes existing knowledge into coherent topics and outlines a research agenda for future research is still lacking.

Drawing on a systematic literature review of 219 papers and using a text-mining approach based on the Latent Dirichlet Allocation algorithm, this paper enhances the existing knowledge of B2B customer behavior and provides a descriptive analysis of the literature.

From this review, ten major research topics are found and analyzed. These topics were analyzed through the lens of the Theory, Context, Characteristics and Method framework, providing a summary of key findings from prior studies. Additionally, an integrative framework was developed, offering insights into future research directions.

This study presents a novel contribution to the field of B2B by providing a systematic review of the topic of customer behavior, filling a gap in the literature and offering a valuable resource for scholars and managers seeking to advance the field.

The purpose of this paper is to examine how important technology transfer offices (TTOs) – which in Portuguese are called “industrial property support offices” or GAPIs – are in terms of fostering patent applications and technology transfer in countries characterized by low performance records in these activities.

Among the existing 23 Portuguese GAPIs, only eight agreed to provide answers to a semi-structured questionnaire survey. Content analysis was performed on the data collected using NVivo software.

The results show that GAPIs play an important role in the innovation life-cycle, speeding up the transfer of knowledge and technology to society. The regulation of intellectual property (IP) ownership and royalty sharing with inventors was identified as a major result, strengthening entrepreneurial universities’ role. In addition, after the GAPIs were created, networks were formed that facilitate the sharing of knowledge and experience and promote the development of further collaborative partnerships.

This study’s results offer new insights into how GAPIs contribute to socio-economic growth by fostering more entrepreneurial universities and increasing the transfer of technology to society. In addition, these offices promote the creation of networks between GAPIs, enabling them to leverage universities’ potential for participation in socio-economic development.

No previous research has focused on GAPIs/TTOs’ point of view regarding policies that enhance IP and technology/knowledge transfer.

Lean healthcare (LHC) applies lean philosophy in the healthcare sector to promote a culture of continuous improvement through the elimination of non-value-added activities. Studies on the subject can be classified as conceptual (theoretical) or analytical (applied). Therefore, this research compares bibliometric indicators between conceptual and analytical articles on LHC.

For data collection, the PRISMA Protocol was employed, and 488 articles published from 2009 to 2021, indexed in the Scopus and WoS databases, were retrieved.

This study reveals how conceptual and analytical LHC studies are organized in terms of the most relevant journals, articles, institutions, countries, the total number of citations, collaboration networks (co-authorship, international collaboration network and institutional collaboration network) and main co-words.

Only four papers conducting bibliometric analysis on LHC studies were identified in the Scopus and Web of Science databases. In addition, none of these papers compared conceptual and analytical bibliometric indicators to reveal the evolution, organization and trends of each category. Therefore, this work is not only the first to make this comparison but also the first to analyze the collaboration between authors, institutions and countries in relation to studies on LHC. The analyses performed in this work allow one new possible understanding, by researchers and health professionals, of the literature behavior in this field of study.

The aim of this paper is to identify some specificities of production planning and control (PPC) activities in the one-of-a-kind-production (OKP) process through an extensive literature review. Relevant aspects related to systems and PPC activities in the context of OKP environment are discussed, and six opportunities for future research are highlighted.

The following research is based on a review of 53 articles published in peer-reviewed journals over the past three decades. After an initial descriptive analysis based on bibliometric indicators, a cluster analysis of 15 most cited articles was carried out using multivariate data analysis techniques and in-depth analysis.

The results reveal some specificities inherent to the clusters featured in the research, including aspects of planning, control and systems for OKP process. This cluster addresses information regarding next-generation manufacturing systems, scheduling and design science, computer simulation and project approach. On the other hand, the authors point out six topics for future research regarding contemporary issues associated with PPC in the context of OKP.

This paper fills an important gap regarding OKP production planning and control practices. The results provide a theoretical overview of different PPC practices suitable for the OKP environment. Furthermore, it can provide insights for scientific developments in order to manage the complexity inherent in the OKP process.

Industrial robots play an important role in industry, due to their flexibility. Many applications (almost all that require human intervention) may be performed with advantages by robots. Nevertheless, set‐up operations, necessary when changing production models, are still tricky and time‐consuming. It is common to have detailed data of working pieces in computer aided design (CAD) files, resulting from product design and project. This information is not used satisfactorily, or even not used at all, for robot programming. In this paper, we propose a solution capable of extracting robot motion information from the CAD data.

This research seeks to provide methodological bases for the identification, documentation and critical reflection of good practices of architectural design in built heritage. These are applied explicitly to the School of Porto architects, which express a high sense of pedagogy and community practice in this field. The methodological approach defines the selection criteria for a georeferenced inventory and the procedures for in-depth analysis of adaptive reuse strategies.

The works included in the inventory were selected according to geographical, chronological, typological, qualitative and quantitative criteria. The cases chosen for in-depth analysis have been studied along four thematic axes to dissect all the intervention processes (previous state, design/construction and final state). This approach is supported by a cross-analysis of different sources (oral, written, graphic) and using drawing as a fundamental research tool.

The research has collected and disseminated up to 150 works by 44 architects, providing a comprehensive portrait of heritage intervention by the School of Porto over the past decades. The selection of 22 buildings for in-depth documentation reveals a particular sensibility toward the cultural values through a case-by-case approach based in deep knowledge of the preexisting context and the introduction of contemporary additions in continuity and harmonious relation with the environmental and sociocultural context.

This work provides a novel methodology suitable for further extension and adaptation to other case studies, as a first contribution to a more comprehensive “Atlas of Architectural Design in Built Heritage” with European case studies. The research aims to introduce new and deeper perspectives on reference works that may constitute pedagogy for the future practice of architects within contextual, inclusive and sustainable approaches.

This paper aims to thoroughly identify the forms of integration between Lean, Industry 4.0 (I4.0) and environmental sustainability (ES) by examining the relationships between these three constructs, deepening understanding surrounding the theme and evolving the construction of a framework that can aid managing industrial production processes.

A systematic literature review (SLR) was the method used to identify the relationships for integration in the current literature. The SLR was supported by content and cluster analysis. The analyzes identified relationships at two levels. The first level observed relationships for constructs and variables. The second, at the level of constructs and components, which detail the variables. This study also proposes an integrated conceptual framework showing these relationships at the construct, variable and component levels.

The results show how these three constructs are related and the study concludes by stating that there is stronger integration among I4.0 technologies and Lean practices for reaching ES. The SLR identified the main components that allowed for this integration, i.e. I4.0 technologies, Big Data, the internet of things and Lean practices, like reducing waste and customer needs.

From an academic standpoint, this study proposes new lines of research lines that have not been explored thus far, and can be developed via empirical studies, at the strategic and operational levels among different industrial sectors. Also, this study can help managers understand the integrations between Lean practices and I4.0 technologies to achieve better operational and environmental organizational results.

To the best of the knowledge, this study is the first of its kind using SLR to integrate Lean approaches, ES and I4.0 and to propose a unified framework to help managers and academics understand these relationships.