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The purpose of this paper is to inform readers who are interested in textbooks, sports and sports economics, but especially professors who teach sports economics, about the coverage of sports in principles of economics textbooks.

The data in the paper consist of the 130 sections on sports from twenty-one principles of economics textbooks. The paper illuminates the sections using numerous quotations and in-text references. The paper details the number of sections devoted to each sport, economic concepts they illuminate and how the text covers topics such as league rules, broadcast revenues and women in sports.

The paper finds that the 21 textbook authors devote an average of 934 words in an average of 6.2 sections of text to 11 sports. Sections of text vary from one sentence to lengthy discussions of topics such as increased salaries due to technological advances in broadcasting, antitrust cases, the gender pay gap and bargaining between leagues and players' unions. The authors refer to five published research papers on sports economics, two quantitative books, two quantitative articles in the popular press and one nonquantitative nonfiction book.

This paper provides data to researchers who study sports regarding topics that students are being taught in economics texts. It is a potential tool for connecting their areas of research to the university experience.

Sports economics professors, and other professors, may enhance student interest by a choice of text for their principles classes.

Sports coverage in principles texts illuminates topics such as the effect of technology on income distribution, the morality of paying college athletes, the interaction of the legal system and markets and the gender gap.

No other publicly referenced paper details the use of sports in principles textbooks.

This study is concerned with the perlocutionary force of emotional strategies in entrepreneurship discourse. The purpose of this paper is to determine to what extent, and under what circumstances, emotional appeals may be effective to convince the conversational partner in entrepreneurship discourse.

To examine the interaction between rational and emotional appeals this paper analyses a corpus formed by several examples of the “elevator pitch” genre, which have been taken from a TV programme called Tu Oportunidad (Your Chance), the Spanish counterpart of the British Dragon’s Den and the American Shark Tank. Using the information gathered in the discursive analysis of the corpus, the paper establishes a template that identifies the main rational and emotional aspects that characterize the entrepreneurial pitch. In a second stage of the research, the template is used to conduct a quantitative analysis of the persuasive influence of rational and emotional aspects.

The results of the qualitative and quantitative research show that there is a clear correlation between the propensity to finance entrepreneurial ventures and the presence of rational aspects in the entrepreneurial pitch. The lack of rational arguments determines the failure of the entrepreneur’s efforts to be persuasive, regardless of the emotional appeals that are introduced into the pitch. Emotional appeals prove to be useful to reinforce rational arguments but they are not sufficiently persuasive on their own.

The paper offers insight into the criteria that investors take into account in order to evaluate entrepreneurial projects, as well as on the strategies that entrepreneurs should develop to build a successful business pitch.

Taking into account that debtholders bear most of the risks in the case of failure (Jensen and Meckling, 1976), earnings quality is valuable for debtholder decision makers as a monitoring mechanism and as a signal of credibility that reduces information asymmetries. In this sense, this paper aims to analyze whether banks carry out an earnings quality analysis in their lending decision processes and, in particular, how carefully they do it.

The authors focus on data from pre-bankruptcy companies because both earnings management and the potential costs faced by auditors increase considerably during the process towards failure. To test the hypotheses, the authors run separate multivariate regressions of price (cost of debt) and non-price (credit availability) lending decisions on different proxies for earnings quality. The authors use Big N and modified audit reports as a proxy for audit quality. Additionally, they use discretionary accruals as a proxy of accounting numbers quality.

The results show that banks do consider their borrowers’ quality of earnings, but they do it quite cursorily, that is, without taking advantage of all the possibilities offered by an effective combination of external and internal proxies.

The inferences apply only to financially distressed private firms, so they are not generalizable to other contexts with low ownership concentration or with a less severe risk of failure.

The language used by the auditors in the audit report, particularly in generally accepted accounting principles violations, might not be clear enough for the user to undo the specific distortions in the financial statements.

The authors provide evidence of how banks incorporate earnings quality into their lending decisions, prior research has analyzed them either separately or from an equity market perspective. Moreover, the authors also add to the debt-covenant literature by explicitly showing that manipulation helps managers to achieve better lending conditions.

The objectives of this study were to (a) analyze the relationship between sociodemographic aspects and motivations in ecotourism and (b) identify the relationship between sociodemographic aspects and satisfaction and loyalty variables.

The research was carried out in the Arenal National Park and the Caño Negro National Wildlife Refuge in Costa Rica, an ecologically important ecotourism destination. The sample consisted of 310 surveys obtained in situ. For data analysis, factor analysis and the multiple regression method were used.

The results show that younger tourists tend to be more motivated by self-development, whereas older tourists and lower-income tourists are more motivated toward strengthening interpersonal relationships with family and friends. In contrast, tourists with lower education levels are highly motivated by novelty, feel more satisfied with the visit and are more willing to recommend and say positive things about the destination. Besides, repeat visitors are most likely to return.

The present study was limited by the timing in which it was carried out. Among the future lines of research, studies that address the relationship between sociodemographic variables in the different ecotourism segments should be conducted.

Regarding the practical implications, this study helps companies related to tourism to pay attention to the sociodemographic characteristics of tourists to design activities and services according to their motivations, satisfaction and loyalty. For younger tourists who are motivated by self-development, activities and services related to learning about nature can be planned to encourage their personal growth, new abilities and individual skills. Regarding elderly and lower-income tourists, who are motivated to be with family and friends, recreational activities to improve family and friendship relationships can be promoted.

These findings will serve to plan attractions and services in protected areas, benefiting the destinations and the communities sustainably.

One of the contributions of this study is to find a negative relationship between the level of education and other variables such as satisfaction, intentions to recommend and intentions to say positive things about the destination. This research also identified a negative relationship between age and the self-development motivational dimension, a positive relationship between age and being with family and friends dimension, a negative relationship between income and being with family and friends dimension and a negative relationship between the number of visits and the novelty dimension.

This chapter examines the training of indigenous Mayan catechists by the Roman Catholic Diocese of San Cristóbal de Las Casas in Chiapas, Mexico, and their subsequent role in the establishment and growth of the Ejercito Zapatista de Liberación Nacional (EZLN) in the period prior to the Zapatistas' 1994 uprising. It considers the adequacy of Timothy Wickham-Crowley's model of guerrilla insurgencies in Latin America in explaining the Zapatista case. It finds, contrary to Wickham-Crowley's model of the relations between urban university leadership groups and peasant support bases, that the catechists constituted a stratum of “organic indigenous-campesino intellectuals” that radically undermined their communities’ traditional intellectual dependence on outsiders and enabled them to constitute themselves as a new collective political subject.

Continuous training in professional teaching competencies has become one of the challenges of the school of the 21st century, especially if we refer to the mastery of digital competence. The aim of this study is to analyze the degree of digital competence of secondary school teachers of different areas of knowledge during the global pandemic of COVID-19 in the Galician autonomous community and obtain data that allow us to infer whether there is an association between individual variables such as age, gender, degree, work experience and their mastery of digital competence.

A cross-sectional descriptive quasi-experimental study is performed using an accidental sample of secondary school teachers from different fields of knowledge.

The different results obtained determine that the level of knowledge and use of digital media and tools is low. There are no significant differences depending on the variables analyzed, but it is necessary to establish specific continuing education plans for the improvement of digital competence in secondary school teachers to enable the effective use and management of information and communication technologies in future professionals.

Therefore, the findings of this study allow the development of educational interventions focused on increasing the digital competence of teachers, taking into account their individual characteristics.

This article reviews a hot spring spa located in the south of Chile and discusses the contribution of this project to the development of a particular route to sustainability that is highly grounded in a poetic sensitivity to nature and culture. Termas Geometricas, the work of architect Germán del Sol, is an interesting example of an architectural intervention that overlays subtle ecological design principles in a place of outstanding beauty, where the result not only respects, but also celebrates nature. The architect's first concern in the design process was "to discover what is in the place", above and beyond the geographical or cultural aspects.

Principles of environmental design included the use of local materials and local labor, low energy strategies and a general approach to favoring the crude experience of nature towards the limits of comfort. Buildings are barely heated and naturally ventilated, while there is limited provision of electricity, which encourages the experience of the wind, sun, rain and the magnificent beauty of nature. The conclusions stress the fact that there is a new wave of tourism facility in Chile, which has achieved a surprising commercial success by combining careful design, sound environmental principles and natural potential oriented to exalting the experience of place.

This paper examines the role of co-inventor collaboration with China and/or the USA on a country's increase in centrality in global knowledge networks. It also explores the role of specific institutional factors – corruption and intellectual property rights (IPR) protection – on this relationship.

In the study, co-inventor data from the United States Patent and Trademark Office (USPTO) applications have been used to construct networks of technological knowledge collaboration at the country level over the years 2002–2015. Using eigenvector centrality as the dependent variable, the study uses fixed effect regression analyses on a panel of 171 countries, contributing to recent debates on knowledge networks and international cooperation.

Building on research in economic development, innovation and social network theory, this research finds that co-patenting with Chinese inventors is positively related to a country's centrality in global knowledge networks and that this relationship is negatively moderated by collaboration with the current most central knowledge network – namely that of the USA – suggesting a substitution effect. It also finds a partial substitution between institutional factors, IPRs protection and transparency, and collaboration with China on a country's knowledge centrality.

Regarding policymakers, the findings can be used to encourage international collaboration for increased access to new sources of knowledge that fosters innovation while keeping a close eye on local institutions, especially emerging economies that want to increase their international knowledge network centrality.

This study creates a unique panel data set and extends the social networks approach in international business literature, focusing on institutional characteristics related to participation in knowledge networks.

This study aims to apply an open-source approach to protect the 3D printing industry from innovation stagnation due to broad patenting of obvious materials.

To do this, first an open-source implementation of the first five conditions of an open-source algorithm developed to identify all obvious 3-D printing materials was implemented in Python, and the compound combinations of two and three constituents were tested on ten natural and synthetic compounds. The time complexity for combinations composed of two constituents and three constituents is determined to be O(n²) and O(n³), respectively.

Generating all combinations of materials available on the Chemical Abstracts Services (CAS) registry on the fastest processor on the market will require at least 73.9 h for the latter, but as the number of constituents increases the time needed becomes prohibitive (e.g. 3 constituents is 1.65 million years). To demonstrate how machine learning (ML) could help prioritize both theoretical as well as experimental efforts a three-part biomaterial consisting of water, agar and glycerin was used as a case study. A decision tree model is trained with the experimental data and is used to fill in missing physical properties, including Young's modulus and yield strength, with 84.9 and 85.1% accuracy, respectively.

The results are promising for an open-source system that can theoretically generate all possible combinations of materials for 3-D printing that can then be used to identify suitable printing material for specific business cases based on desired material properties.