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Neurostrategy is an abductive decision-making process developed from the knowledge generated within the network of decision-makers. It links cognitive style with the team's decisional adaptability in relation to the organization's purpose. Neurostrategy differs from traditional methods, in which it addresses negative utility or decisional trauma, highlighting the variety of interests that are the main cause of team misalignment and allowing for the development of strategies to address them. Neurostrategy enables the classification of strategy deficiencies based on cohesion, coordination, communication and conduction (Co4).

This paper introduces a novel approach called relational neurostrategy (RNS) to elucidate the knowledge processes influencing decision-making. RNS aims to “capture” the intricate processes guiding decisions, enabling the network's decisional plasticity in both forms and contents. This adaptability is crucial for effectively addressing posed challenges, while simultaneously mitigating the impact of diverse interests. The methodology also ensures transparency in the decision-making process and generates an effective solution strategy.

The RNS addresses two critical aspects of the decision-making process. Firstly, it reduces unnecessary variety stemming from multiple interpretations and secondly, it minimizes the adverse impact of diverse interests within the decision-making network. This approach results in strong and credible decisions that reflect the collective intelligence, cooperation and collaborative efforts of the network, rather than being imposed as absolute truths.

The RNS stands out as a distinctive decision-making method, setting itself apart from existing approaches. Its uniqueness becomes evident in its ability to address the question “what prevents the authors from … ?” from this inquiry, RNS successfully integrates unrequired variety and negative utility. By doing so, it strategically narrows down the search field to the universe of distinctions that truly constitute the problem. This innovative process not only enhances efficiency but also fosters a high level of participation in the strategic design of potential solutions. In essence, RNS brings unprecedented value by effectively navigating the intricacies of decision-making and maximizing the relevance of the identified problem space.

This study aims to explore and evaluate how sociodemographic, psychographic and situational factors jointly determine the satisfaction and expenditure of sports tourists, two key variables for the sustainability and development of sport tourism.

To meet the objective of the study, structural equation modelling was applied to data collected through a face-to-face survey of 520 sports tourists practising outdoor sports in the Valle del Jerte region (Cáceres, Spain) during the months of March and April 2024.

The findings revealed that older and higher income tourists experienced higher levels of satisfaction with sporting activities. Specifically, young women with a high educational and economic level were found to have the highest expenditure in the sports destination. Furthermore, it was confirmed that authenticity, distance and water sports activities had a positive impact on visitor satisfaction, and that tourist expenditure was influenced by local connection and all sociodemographic and situational factors considered.

This analysis contributes to the sport tourism literature by combining factors of different typologies into a single model and by incorporating expenditure behaviour as a dependent variable and the type of sport activity variable as a situational factor affecting expenditure. This approach expands existing knowledge by providing a more comprehensive view of the effect of sociodemographic, psychographic and situational factors on sport tourism, allowing destination managers to design effective strategies that optimise the satisfaction and expenditure of sports tourists.

本研究旨在探讨和评估社会人口、心理和情境因素如何共同决定体育游客的满意度和消费, 这是体育旅游可持续发展的两个关键变量。

为实现研究目标, 我们采用结构方程模型（SEM）对 2024 年 3 月至 4 月期间在 Valle del Jerte 地区（西班牙卡塞雷斯）从事户外运动的 520 名体育游客进行了面对面调查。

结果显示, 收入较高的老年游客对体育活动的满意度较高。特别是, 教育和经济水平较高的年轻女性在体育目的地的消费最高。此外, 研究还证实, 真实性、距离和水上运动活动对游客满意度有积极影响, 而游客消费则受当地关联性以及所有社会人口和情景因素的影响。

这项分析将不同类型的因素整合到一个模型中, 并将消费行为作为因变量, 将体育活动类型作为影响消费的情景因素, 从而为体育旅游文献做出了贡献。这种方法能更全面地了解社会人口、心理和情境因素对体育旅游的影响, 从而扩展现有知识, 使目的地管理者能够设计有效的战略, 优化体育游客的满意度和消费。

Este estudio busca explorar y evaluar cómo los factores sociodemográficos, psicográficos y situacionales determinan conjuntamente la satisfacción y el gasto de los turistas deportivos, dos variables clave para la sostenibilidad y el desarrollo del turismo deportivo.

Para cumplir con el objetivo del estudio, se aplicó un modelo de ecuaciones estructurales (SEM) a los datos recabados a través de una encuesta presencial a 520 turistas deportivos que practicaban deportes al aire libre en la comarca del Valle del Jerte (Cáceres, España) durante los meses de marzo y abril de 2024.

Los resultados revelaron que los turistas de mayor edad y con ingresos más elevados experimentaban mayores niveles de satisfacción con las actividades deportivas. En concreto, se observó que las mujeres jóvenes con un nivel educativo y económico alto eran las que más gastaban en el destino deportivo. Además, se confirmó que la autenticidad, la distancia y las actividades deportivas acuáticas influían positivamente en la satisfacción de los visitantes y que el gasto de los turistas estaba influenciado por la conexión local y por todos los factores sociodemográficos y situacionales considerados.

Este análisis contribuye a la literatura sobre turismo deportivo al combinar factores de diferentes tipologías en un único modelo y al incorporar el comportamiento de gasto como variable dependiente y la variable tipo de actividad deportiva como factor situacional que incide en el gasto. Este enfoque amplía el conocimiento existente al ofrecer una visión más completa del efecto de los factores sociodemográficos, psicográficos y situacionales en el turismo deportivo, lo que permite a los gestores de destinos diseñar estrategias eficaces que optimicen la satisfacción y el gasto de los turistas deportivos.

The purpose of this study is to make an exploratory analysis of the impact of the entrepreneurial ecosystem (EE) as defined by Acs et al. (2014) on opportunity-driven senior entrepreneurial activity in Latin America.

The research uses data from the Global Entrepreneurship Monitor and the Global Entrepreneurship and Development Institute of five Latin America countries (Argentina, Brazil, Chile, Colombia and Mexico), providing a total of 15,019 observations of people that are 50+ years old, between the years 2013 and 2017. A multi-level logistic regression model was used to estimate the relation between the total entrepreneurial activity by opportunity of seniors and some EE indicators. A total of three equations were estimated on the data set described.

This research confirms the relevance of some elements of EE on senior entrepreneurship in Latin America. Entrepreneurial attitudes have a positive relationship with senior entrepreneurs, generating higher levels of entrepreneurial ventures. The combination of institutions that support these attitudes on the EE enhances senior entrepreneurial activity. It also demonstrates that a higher level of entrepreneurial education at postschool stages is relevant to increasing senior entrepreneurial activity.

This research makes some interesting contributions in the field of measuring the impact of EE on senior entrepreneurship by opportunity in developing countries, filling a literature gap. It allows us to glimpse some measures that policymakers could take to improve the entrepreneurial activity of this segment in the region, such as implementing programs that facilitate networking opportunities and mentorship, along with providing training in business and financial literacy.

This study develops and validates the “Perception of the Adoption and Training in the Use of Artificial Intelligence Tools in the Profession” instrument, designed to measure Latin American university students' attitudes and perceptions regarding AI training in their professional education across diverse fields.

The instrument was administered to 238 students from various disciplines at a Mexican university. Structural validity and reliability were assessed using a generalized structural equation model (GSEM) with quasi-maximum likelihood (QML) to handle data non-normality and analyze latent construct relationships.

Results show high internal consistency and validity, with strong correlations between items and constructs of “attitude” and “perception of AI training value.” The study found significant relationships between understanding AI tools and the perceived value of AI training, as well as between this perception and attitudes toward incorporating AI in professional training.

The instrument helps institutions identify student attitudes and training needs related to AI, enabling tailored curricula and training programs that foster positive AI acceptance, thus preparing students for modern technological challenges.

This study offers a validated instrument tailored to the Latin American context, addressing a gap in measuring student perceptions of AI in professional training. It serves as a diagnostic tool for educators and policymakers in designing AI-integrated pedagogical strategies that align with student needs.

Image change through visit experience with a destination is a common assumption, yet with rare empirical support to date. Thus, this study treats destination image as an interactive system of cognitive and affective components that are dynamic and changing through the course of an experience with a destination.

This longitudinal study tracks the change in images of 162 European visitors to the Gran Canaria Island one month before a two-week trip, on the last day of the trip, one month after the trip, and one year after the trip. A one-way repeated-measures analysis of variance with Bonferroni post hoc tests was conducted to evaluate the change in visitors’ cognitive, affective, or holistic images of Gran Canaria Island.

The Gran Canaria Island’s one-month post-visit image was more positive than the pre-visit image reflecting an improvement because of visitation. However, this improvement did not last long since the one-year post-visit image was not as positive as the one-month post-visit image. Surprisingly though, principle component analysis revealed more factors with more image items in the pre-visit image, whereas post-visit image factors were fewer in numbers and more generic, reflecting a reduction of details in the image after the visit.

This study is one of the very few efforts that contribute empirical evidence for the role of visitation in destination image evolution. It focuses on the pre and post-visit changes in the cognitive image and pre-, during, and post-visit changes in affective and overall images of a tourist destination in Europe.

This papers aims to study lattice structures in terms of geometric variables, manufacturing variables and material-based variants and their correlation with compressive behaviour for their application in a methodology for the design and development of personalized elastic therapeutic products.

Lattice samples were designed and manufactured using extrusion-based additive manufacturing technologies. Mechanical tests were carried out on lattice samples for elasticity characterization purposes. The relationships between sample stiffness and key geometric and manufacturing variables were subsequently used in the case study on the design of a pressure cushion model for validation purposes. Differentiated areas were established according to patient’s pressure map to subsequently make a correlation between the patient’s pressure needs and lattice samples stiffness.

A substantial and wide variation in lattice compressive behaviour was found depending on the key study variables. The proposed methodology made it possible to efficiently identify and adjust the pressure of the different areas of the product to adapt them to the elastic needs of the patient. In this sense, the characterization lattice samples turned out to provide an effective and flexible response to the pressure requirements.

This study provides a generalized foundation of lattice structural design and adjustable stiffness in application of pressure cushions, which can be equally applied to other designs with similar purposes. The relevance and contribution of this work lie in the proposed methodology for the design of personalized therapeutic products based on the use of individual lattice structures that function as independent customizable cells.

This study presents a policy template for managing investment portfolios for the multi-family office (MFO) business that incorporates elements of behavioral finance to outline how managers and clients are subject to heuristics and cognitive biases, even in a specific and differentiated environment. The policy for proper portfolio management is grounded in interactivity, dynamism, quality of communication and the relationship between the manager and the client.

This study presents a policy framework for managing investment portfolios within the MFO sector that integrates behavioral finance principles to highlight how managers and clients are influenced by heuristics and cognitive biases, even in a particular and differentiated environment. This perspective is a defining feature of the study’s originality.

This approach foreshadows the manager as an educator, presents practical recommendations about behavior and improves the process of decision-making and knowledge regarding their clients’ motivations. That will make managers better at serving and educating them, promoting long-term sustainability.

This study presents a policy template for managing investment portfolios for the MFO business that incorporates elements of behavioral finance to outline how managers and clients are subject to heuristics and cognitive biases, even in a specific and differentiated environment. These elements make this article original.

The improper disposal of potentially harmful products is a problem that affects both developed and emerging countries. Using the Values-Beliefs-Norms (VBN) theory, this research attempts to uncover the key differences and similarities between both contexts and to extend the theory to include trust-in-government (TIG) as a moderating variable.

The data used in this study were drawn from two samples: Mexicans and Americans by administering a paper and pencil survey. To test the conceptual model and to contrast the results, partial least squares (PLS-SEM) and multigroup analysis were used.

This research finds that consumers in emerging countries like Mexico are less likely to act on their beliefs to engage in protesting behaviors when confronted with an environmental problem such as the improper disposal of potentially harmful products. Consumers on both sides of the border are more likely to engage in consumer activism behaviors if social economic norms (SEN) are considered. Furthermore, the multi-group analysis revealed that US consumers' TIG moderates the relationship between awareness of consequences (AC) and consumer activism intention (CAI) contrasting with Mexican consumers where such moderating relationship does not exist.

This research makes a significant contribution to the literature by evaluating TIG as an important predictor of consumer activism behaviors. TIG can significantly affect consumer activism behaviors in the United States, but not in Mexico. It also demonstrates that SEN rather than social benefit norms (SBN) can trigger CAI in both samples.

The objectives of this research are to analyze the sociodemographic and personality profiles most related to good academic time management among 845 students from different faculties at the University de Barcelona (UB) and to identify the explanatory factors of effective academic time management.

Poor time management is a common behavior among university students and an explanatory factor for academic failure. A sociodemographic questionnaire, the Procrastination Assessment Scale-Student (PASS), the Academic Time Management (ATM), the Brief Symptom Inventory (BSI-18) and the Big Five Inventory-10 (BFI-10) were administered.

The results reveal that female students, education majors and those with high academic performance show better time management than the rest of the student body. Additionally, students who have better academic time management are also more neurotic, more open to experience, more responsible and less prone to procrastination. The factors established as explanatory of good academic time management are neuroticism, openness to experience and low procrastination.

The implications of the results for promoting academic time management in university studies through specific actions are discussed.

Arthroscopic osteochondroplasty is a minimally invasive procedure that has been used to treat femoroacetabular impingement syndrome, leading to significant improvements in patients’ clinical outcomes and quality of life. However, some studies suggest that inadequate bone resection can substantially alter hip biomechanics. These modifications may generate different contact profiles and higher contact forces, increasing the risk of developing premature joint degeneration. To improve control over bone resection and biomechanical outcomes during arthroscopic osteochondroplasty surgery, this study aims to present a novel system for measuring femoroacetabular contact forces.

Following a structured design process for the development of medical devices, the steps required for its production using additive manufacturing with material extrusion and easily accessible sensors are described. The system comprises two main devices, one for measuring femoroacetabular contact forces and the other for quantifying the force applied by the assistant surgeon during lower limb manipulation. The hip device was designed for use within an arthroscopic environment, eliminating the need for additional portals.

To evaluate its performance, the system was first tested in a laboratory setup and later under in-service conditions. The 3D printing parameters were tuned to ensure the watertighness of the device and sustain the intraoperative fluid pressures. The final prototype allowed for the controlled measurement of the hip contact forces in real-time.

Using additive manufacturing and readily available sensors, the present work presents the first device to quantify joint contact forces during arthroscopic surgeries, serving as an additional tool to support the surgeon’s decision-making process regarding bone resection.