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This research proposes analytical valuation models throughout football players' life cycles based on crowd valuations from social media to produce dynamic sporting human capital disclosures, and therefore, supplying further useful information to capture the intellectual capital (IC) of football clubs.

This work is carried out using an econometric model that includes 658 observations of crowd judgments versus their transfer fees, for the best footballers of the three major European Leagues between 2006 and 2018. To make the model more parsimonious, the set of independent variables that really add value has been found across the stepwise methodology.

The significant differences between both models are analyzed, integrating previous academic literature based on the existence of negotiation elements in prices, and in the capacity of crowdsourcing to explain assessments of football players, from a dynamic perspective, alongside a new variable: injuries, which has not been explained before.

The broader assessments from crowdsourcing should be integrated in intellectual capital disclosures (ICD), from a critical, novel and dynamic perspective, creating a virtuous cycle between managers and fans, to increase transparency of financial information for stakeholders and society.

The purpose of this paper is to contribute to the discussion about entrepreneurship education through undergraduate dissertations (UDs). In order to achieve this objective, this paper addresses the problems detected in the degree subject “UD” – which entails the creation of a business plan – and the proposal of improvements in the teaching-learning process of this subject.

Qualitative and quantitative analysis are used. First, the paper reports the problems that occurred during two academic years (2012–2013 and 2013–2014), as well as the solutions to these problems, in the two academic years that followed (2014–2015 and 2015–2016). Second, the improvements achieved are analyzed using descriptive statistics and the Wilcoxon–Mann–Whitney test, based on data drawn from the records and a survey conducted in 2012–2013 (174 responses), and in 2015–2016 (184 responses).

The results outline the positive effects on students’ learning outcomes and academic excellence, a three-stage assessment process, the strengthening of the coordination and supervision systems and the enhancing of entrepreneurial spirit among graduates, with a UD connected to a business incubator.

The authors describe the design and implementation of a UD that provides a major step in the students’ entrepreneurial education, emerging, not only, as an opportunity to train and connect skills and knowledge learned about the starting a new venture, but also as a practical experience of entrepreneurship; a first step that introduces the student to entrepreneurship.

There are very few examples of concrete subject designs that have undergone in-depth, longitudinal research, focusing on entrepreneurship. Prior research has focused on entrepreneurship primarily as a subject, forgetting the great utility of the UD as active training tool. Thus, this paper breaks new ground by highlighting the role of the UD in entrepreneurial education. In this regard, the UD allows the student to be guided and to actually engage in the real-world practice of entrepreneurship. Specifically, it encourages them to apply their academic knowledge of the field in the context of creating a new business. Moreover, by creating a business plan, students are applying the knowledge and skills learned in the subject of entrepreneurship with other spheres of knowledge and skills.

Most studies on Sentiment Analysis are performed in English. However, as the third most spoken language on the Internet, Sentiment Analysis for Spanish presents its challenges from a semantic and syntactic point of view. This review presents a scope of the recent advances in this area.

A systematic literature review on Sentiment Analysis for the Spanish language was conducted on recognized databases by the research community.

Results show classification systems through three different approaches: Lexicon based, Machine Learning based and hybrid approaches. Additionally, different linguistic resources as Lexicon or corpus explicitly developed for the Spanish language were found.

This study provides academics and professionals, a review of advances in Sentiment Analysis for the Spanish language. Most reviews on Sentiment Analysis are for English, and other languages such as Chinese or Arabic, but no updated reviews were found for Spanish.

The purpose of this study is to examine the different results and the level of success obtained with advertising campaigns developed on Facebook to promote postgraduate programs to create awareness and engagement.

This study combined the data envelopment analysis technique to measure advertising efficiency with multidimensional scaling (MDS) representation, thus offering alternatives for practitioners and organizations on how to evaluate social advertising performance.

Investments on social paid advertising are an affordable and effective way both to promote postgraduate programs and create engagement with prospective students. Facebook advertisements maximize visibility, which improves social and online positioning and encourages student recruitment.

Higher education institutions can efficiently promote their programs with a minimal social investment contributing to dissemination and engagement. Compared to other forms of traditional or digital advertising, social media ads can be efficient and affordable with wider segmentation and targeting options. Moreover, results are immediate and measurable and campaigns can be instantly modified to better suit the audience’s requirements.

This study is unique as it offers a new, alternative way of measuring efficiency, in addition to the classic ratios of payment models in digital advertising that combine clicks and impressions, on a sector where there are few empirical studies. Moreover, it can be easily applied to many other sectors in public and private organizations.

El objetivo de esta investigación es examinar los diferentes resultados y el nivel de éxito obtenido con las campañas publicitarias desarrolladas en Facebook para promover programas de postgrado que aumenten la notoriedad y la participación de los mismos.

Combinamos la técnica de análisis de envolvente de datos (DEA) para medir la eficiencia de la publicidad con la representación de escalado multidimensional (MDS), ofreciendo alternativas tanto a profesionales como a organizaciones sobre cómo evaluar el rendimiento de la publicidad social.

Las inversiones en publicidad social pagada son una forma asequible y efectiva tanto para promover programas de postgrado como para crear un compromiso con los posibles estudiantes. Los anuncios en Facebook maximizan la visibilidad, lo que también mejora el posicionamiento social y en línea, fomentando la captación de estudiantes.

Las instituciones de educación superior pueden promover eficazmente sus programas con una inversión social mínima que contribuya a la difusión y el engagement. En comparación con otras formas de publicidad tradicional o digital, los anuncios de los medios sociales pueden ser eficientes y asequibles, con una segmentación y opciones de orientación más amplias. Además, los resultados son inmediatos y cuantificables y las campañas pueden modificarse instantáneamente para adaptarse mejor a las necesidades del público objetivo.

Esta investigación es única ya que ofrece una nueva y alternativa forma de medir la eficiencia, además de los ratios clásicos de los modelos de pago en la publicidad digital que combinan clics e impresiones, en un sector en el que hay pocos estudios empíricos. Además, puede aplicarse fácilmente a muchos otros sectores en organizaciones públicas y privadas.

Growing technology adoption is a significant opportunity for the growth of the mobile gaming market. Rising smartphones allow game developers to reach more players and make more money. The study offers guidance for mobile game developers to increase profits and extend the longevity of their games. It aims to assist in making better marketing policy decisions by providing valuable insights into effective approaches for both early and subsequent market penetration stages.

This paper presents a model for analyzing factors that influence the attraction and retention of mobile gamers, which is based on a literature review of mobile gaming and uses the Bass diffusion model and system dynamics method for modeling and simulation.

In the initial stages of a game release, influencer marketing can be more effective than other marketing tools in increasing visibility. As the game progresses, incorporating referral programs can enhance user engagement, promote the game further, and reduce the number of uninstalls. Influencer marketing can also help the games reach a wider audience, generating more interest, and increasing installations for more tremendous success in the market. However, referral programs can extend the lifespan of games, mainly when gamers are engaged.

The study used new marketing strategies in the mobile game industry to gain insights into the growth and evolution of this industry. Development managers can use insights for effective policies and success. The model aids in understanding the dynamics of mobile games and informed decisions for game developers.