Ticket revenues are crucial for the financial success of sports teams. To maximize these revenues, teams continuously explore effective ticket promotional strategies. One such strategy includes partial season plans, which mirror bundle offers common across various industries. Another widespread promotional strategy across industries is offering discounted credit (i.e., store credit purchased at a lower price than its face value). However, its application in sports (e.g., providing a $500 credit for tickets at $450) remains limited. Therefore, this study explores critical questions such as: “How effective is offering discounted credit compared to partial season plans?” and “What factors influence ticket promotion preferences?” Consequently, the study employed a 2 × 2 × 2 experimental designs, considering three independent variables: promotion type (discounted credit vs. partial season plans), promotion flexibility (predefined vs. customizable), and the consumer’s distance to the venue (near vs. distant). Results indicated that partial season plans generated significantly higher perceived value and purchase intentions  while presenting lower perceived risks than discounted credit . Promotion flexibility did not significantly influence the three dependent variables , but the distance to the venue did . Both practical and theoretical implications of these findings are discussed.

This study validates the Intercultural Competence and Inclusion in Education Scale (ICIES), a novel instrument designed to assess students’ perceptions of inclusivity and intercultural competence in multiethnic secondary schools. Using a sample of 276 high school students from Western Romania, the ICIES identified three dimensions: ethnic appreciation and support, intercultural engagement and integration, and school unity and cohesion. Exploratory factor analysis confirmed the scale’s structural validity, while network analysis revealed key interconnections among its components. Findings highlight the critical role of inclusive teaching strategies and school cohesion in fostering intercultural competence. The ICIES provides educators and policymakers with actionable insights for designing interventions that promote empathy, mutual respect, and a sense of belonging in diverse school settings. These results contribute to the development of educational policies aimed at fostering inclusion and addressing the needs of increasingly multicultural classrooms.

This study seeks to explore the uses, behaviors and perceptions of university students regarding mobile phones to help elucidate whether there is a relationship between the use of mobiles and the academic performance of university students. A quantitative approach based on an ad hoc questionnaire, applied before the pandemic, was used to gather evidence in this regard, which revealed the uses and educational visions of mobile phones in a convenience sample of 314 university students from nine different degree courses in two Spanish universities. Three major conclusions are formulated as part of future lines of development. First, although there is frequent use of mobile phones, the image of the mobile as a learning resource in the university classroom does not reach one-third of students. Second, although this study does not determine the causal relationship, there is a statistically significant negative relationship between average grades achieved and hours of dedication to the mobile phone. Finally, students who are unable to spend more than one hour without checking their phone obtain a significantly lower average mark than those who can stay more than one hour without checking their phone.

In this paper advanced Sentiment Analysis techniques were applied to evaluate public opinions reported by rail users with respect to four major European railway companies, i.e., Trenitalia and Italo in Italy, SNCF in France and Renfe in Spain. Two powerful language models were used, RoBERTa and BERT, to analyze big amount of text data collected from a social platform dedicated to customers reviews, i.e., TrustPilot. Data concerning the four European railway companies were first collected and classified into subcategories related to different aspects of the railway sector, such as train punctuality, quality of on-board services, safety, etc. Then, the RoBERTa and BERT models were developed to understand context and nuances of natural language. This study provides a useful support for railways companies to promote strategies for improving their service.