Even though machine learning (ML) applications are not novel, they have gained popularity partly due to the advance in computing processing. This study explores the adoption of ML methods in marketing applications through a bibliographic review of the period 2008–2022. In this period, the adoption of ML in marketing has grown significantly. This growth has been quite heterogeneous, varying from the use of classical methods such as artificial neural networks to hybrid methods that combine different techniques to improve results. Generally, maturity in the use of ML in marketing and increasing specialization in the type of problems that are solved were observed. Strikingly, the types of ML methods used to solve marketing problems vary wildly, including deep learning, supervised learning, reinforcement learning, unsupervised learning, and hybrid methods. Finally, we found that the main marketing problems solved with machine learning were related to consumer behavior, recommender systems, forecasting, marketing segmentation, and text analysis—content analysis.

Se analiza el efecto que tiene un curso universitario de estudio de experiencias en emprendimiento sobre la Intención Emprendedora (IE) de los estudiantes que tomaron ese curso. La IE es considerada un requisito previo de la decisión de emprender un negocio y el incremento en los estudios sobre la IE refleja la importancia que se le asigna a este concepto. Los participantes pertenecen a una carrera de ciencias empresariales de una universidad chilena. La investigación sigue una metodología disponible en la literatura y que postula que las variables demográficas, la capacidad percibida y la educación para emprender ayudan a explicar la intención de emprender. Los resultados del estudio muestran que, de un modo global, la IE fue afectada negativamente por el curso. Sin embargo, se obtuvo que los estudiantes que experimentaron el mayor cambio en su voluntad de emprender fueron quienes poseían dos características: consideraban tener los conocimientos, habilidades y experiencia para poner en marcha un nuevo negocio y pertenecían a familias de menores ingresos de renta familiar.

This article reviews the discount rate or cost of capital (WACC) used as an input to estimate the net present value (NPV) in aquaculture research over the last 25 years. To that end, aquaculture articles, published in peer-reviewed journals using the Web of Science, Scopus, and ScienceDirect databases were collected. This article provides an approximate minimum profitability for new aquaculture feasibility studies according to the type of aquaculture marine commodities, the project type, and the location or country. The results show that the average WACC was 10.6%; this rate was significantly higher a) for algae than for crustaceans, mollusks, and fish; and b) for projects installed in developing countries than for developed countries. Because precisely estimating the WACC for each new project takes considerable time and is expensive, this study provides a useful baseline for many stakeholders, such as private investors, research centers, and government bodies, that provide financial support to aquaculture projects. This work will also benefit those who evaluate projects in other fields.

In recent years, universities have put enormous efforts to promote the use of online learning among students and lecturers. Despite this, little is known about the intention of students to use online learning. The objective of this research is to study the continuance intention of online learning in the post-COVID-19 period in higher education. The research focuses on online learning tools and technologies by applying a modified Expectation-Confirmation Model (ECM) developed from earlier theoretical models, including three new constructs: the self-management of learning, computer anxiety, and habit. The international research compares three countries—Spain (Europe), Chile (Latin America), and Jordan (Asia)—which differ economically and culturally. The Partial Least Squares approach (PLS-SEM) was used to test the research model. As a conclusion of the study, the relationships of the proposed model’s constructs vary among the three countries, given their socioeconomic, technological, and cultural differences. Interestingly, self-management learning is a key factor that has a significant positive influence on continuance intention for the three countries, especially in Jordan. This study makes an interesting contribution to existing research in education and discusses how learning can be made more sustainable in complex settings.