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The objective of this proposal was to propose an educational innovation resource for the delivery of workshops with lesbian, gay, bisexual, transgender, queer, intersex and asexual (LGBTQIA) themes aimed at students in high school and middle school to promote complex thinking as a necessary competency for understanding their continuously changing environment.

Training for sexual and gender diversity challenges higher education institutions, some of which have bet on developing complex thinking to meet this need. Although not all universities have sufficient resources to create activities that foster relevant and diversity-sensitive competencies, some have implemented strategies ranging from modifying their curricula to designing specific classroom tasks that support student inclusion. In response to the challenges faced by higher education institutions (HEIs) to promote the acquisition of thinking skills for complexity, this paper proposes deploying a humanoid robot as an educational innovation tool in training initiatives that promote issues of sexual and gender diversity. The deployment model is described, considering design, delivery and evaluation. The value of this proposal lies in using humanoid robotics as a classroom resource within the framework of social robotics, considering its implications in the educational context to develop complex thinking competency and training for diversity in higher education students.

The data presented here highlight the importance of educational institutions integrating content into their plans, programs and activities (both curricular and extracurricular) that promote inclusion and sexual and gender diversity and attractive teaching strategies to reinforce this perspective. So, this proposal offers a support tool for implementing this content in everyday educational contexts where the objectives focus on triggering complex reasoning competencies.

The varied responses and perceptions of students towards robotics and sexual diversity, as well as the lack of clear methods to assess educational outcomes, may compromise the effectiveness of the intervention.

The workshop proposed in this paper is configured as a series of iterations and repetitions in different educational fields, whether disciplinary (e.g. design or engineering) or transversal (e.g. entrepreneurship). The goal is to achieve educational strategies that generate a more significant impact at the institutional level. In this sense, the present proposal joins the actions implemented by other higher education institutions to make sexual and gender diversity visible to university students.

The overall aim is to bring awareness, understanding and education to students with an inclusive, respectful and equitable perspective.

Social robotics is an innovative and attractive tool for young people at the higher education level. We consider our study a pioneer in the area.

The objectives of the proposed model are: aiding nursing staff in documentation tasks, which can be onerous and stressful; and helping management by offering an estimate of the nursing workload, which can be considered for administrative purposes, such as staff scheduling.

An exploratory-descriptive study was conducted in order to identify, investigate, and describe the problem of documenting nursing activities and workload estimation in an intensive care unit. Technological solutions were explored, and models were proposed to address these issues.

Cross-dataset experiments were performed, and the model was able to offer an adequate estimate of the nursing workload. The results suggest that continuous retraining is essential for maintaining high accuracy. While the proposed model was considered in the context of an adult ICU, it can be adapted to other contexts, such as elderly care.

While the proposed solution seems promising, further research is required, such as deploying this system in an ICU and facing challenges in the areas of computer security, medical ethics, and patient data privacy. More patients’ variables could also be collected to improve the workload estimates.

Nursing workload assessment is critical to improve the cost-benefit ratio in health care, offer high-quality patient care, and reduce unnecessary expenses, and this process is usually manual. An automated device can automatically document the amount of time spent in patient care activities in a more transparent, efficient, and accurate manner, freeing staff for more urgent activities and keeping management better informed about day-to-day nursing operations.

The lean manufacturing (LM) approach is a highly effective method that can be implemented in any industry to streamline production processes, meet customer demand and eliminate any unnecessary waste. This paper aims to propose and evaluate a generic project-based framework grounded on the LM approach for reducing lead time in foundry processes.

Using design science research (DSR), we developed a generic LM project-based framework for reducing lead time in foundry processes.

The developed framework provides an alternative method to implement LM projects to reduce lead time and nonvalue activities in foundry factories.

The findings of this research can guide better lean practitioners for lead time reduction in foundry processes.

This paper contributes to the operational excellence literature when discussing the impact of the LM approach on foundry processes. In addition, the paper provides a roadmap for reducing lead time in a foundry company.

The purposes of this study were to calculate the confirmatory factor analysis in the measurement model using robust measures (McDonald’s omega and Cronbach’s alpha) to ensure the reliability of the proposed scale and to explore the measurement invariance of the scale per the participants’ gender.

The methodological sample had 408 students from a private university in northern Mexico, of which 200 (49%) were male and 208 (51%) were female; the sample age range was 18–58 years (M = 22.4 years, SD = 6.0). The data analysis included descriptive and normality, dimensionality, reliability and measurement invariance.

The social entrepreneurship competency measurement model showed acceptable adjustment indexes in evaluating the internal structure, reliability and factorial invariance by gender of the study participants.

Even though the contributions of this study are evident, these findings must be taken with caution due to some limitations. First, the proposed measurement model uses a self-reported scale, so it is essential to include other measurement methods with less implicit social desirability. Second, although the sample was intended to be representative, it only drew from a specific geographical area, making it difficult to generalize these findings to culturally diverse areas. Third, this study did not consider other validity measures; for example, concurrent, divergent and predictive, so future studies should consider examining the relationship of social entrepreneurship with other factors.

From the practical perspective, this study provides a parsimonious instrument regarding the number of items included in the measurement model. From the theoretical perspective, the present study contributes to delimiting the dimensions of social entrepreneurship competency.

This study contributes to the field of social entrepreneurship, particularly in the area of construct measurement, by offering a measurement model with solid evidence of internal structure validity, reliability and factorial invariance for the perceived achievement of social entrepreneurship competency.

This article aims to understand the challenges and key takeaways of implementing total quality management (TQM) in a virtual organisation.

An interventionist research (IVR) methodology combined with a qualitative critical event analysis was used to evaluate the challenges and concerns faced during the company’s adoption of TQM and understand the roles of the key players involved.

Standard process tools such as desktop procedures (DTP), focused teams, and service-level agreements (SLAs) were fundamental to implementing TQM in the company. These processes require the right leaders, but external agents may also be influential, acting as accelerators of change in adopting and using management practices in small companies. Indeed, the researcher acted as a problem solver, bringing innovative solutions to the firm using a hands-on iterative approach.

This research underscores the importance of critical success factors (CSF), such as employee engagement, training, and project management tools. These factors are not just important but crucial for the success of TQM in organisations seeking to adopt the industry’s best practices.

This study, conducted as a virtual IVR for TQM implementation, provides novel insights for practitioners and academics. It elucidates the pivotal role of some quality management tools in the journey towards TQM and the role of both internal and external critical players in the process, particularly in small virtual organisations based on innovative business models.

This paper aims to propose and assess a framework to analyse the institutionalization of Industry 4.0 (I4.0) through a framing analysis.

The framework was developed by combining the institutional approach with orders of worth, drawing insights from a comprehensive literature review. To assess it, the authors conducted a qualitative analysis of annual reports from companies with the largest market capitalization over a six-year period and interviewed union representatives in Spain and Sweden.

The framework comprises five dimensions (industrial, market, civic, green and connectionist). The empirical results reveal that companies consistently frame I4.0 with an emphasis on industrial and market perspectives. In contrast, unions place a stronger emphasis on civic issues, with Spanish unions holding a more negative view of I4.0, expressing concerns about working conditions and unemployment.

The proposed framework brings interesting insights into the dispute over the meaning of I4.0. Although this empirical study was limited to companies and unions in Sweden and Spain, the framework can be expanded for broader investigations, involving additional stakeholders in one or more countries. The discussion outlined using the varieties of capitalism approach is relevant for understanding the connection between the meso and macro levels of this phenomenon.

In navigating the landscape of I4.0, managers should remain flexible, and ready to tailor their strategies and operations to align with the distinct demands and expectations of stakeholders and their specific institutional environments. Similarly, policymakers are urged to acknowledge these contextual intricacies when crafting strategies for implementing I4.0 initiatives across national settings.

Based on the empirical findings, this study underscores the importance of fostering social dialogue and involving stakeholders in the implementation of I4.0. Policymakers and other stakeholders should take proactive measures, tailored to each country’s context, to mitigate potential adverse effects on labour and workers.

The study presents a novel framework that facilitates the systematic comparison of I4.0 framing by different actors. This contribution is significant because the way actors frame I4.0 affects its interpretation and implementation. Additionally, the aggregate analysis of results enables cross-country comparisons, enhancing our understanding of regional disparities.

Public police professionals must deal with complex and disruptive social, political and organizational environments. This fact highlights the key role that leadership can play in effectively managing their work, while also ensuring their well-being. The aim of this research is to analyze the influence of laissez-faire versus authentic leadership on the work engagement of police professionals, considering the mediating role of emotional exhaustion and the moderating role of resilience and self-efficacy.

Structural equation modeling and hierarchical multiple regression analysis were used in a sample of 184 public police professionals.

The results show that emotional exhaustion partially mediates the relationship between authentic leadership and work engagement, and fully mediates the relationship between laissez-faire leadership and work engagement. Moreover, resilience moderates the relationships between authentic leadership, emotional exhaustion and work engagement; and self-efficacy moderates the relationships between laissez-faire leadership and emotional exhaustion and between laissez-faire leadership and work engagement.

This study highlights that constructive leadership is an important driver of positive experiences at work; it is necessary to change from passive to constructive leadership; and it is important for the combination of psychological resources and positive leadership to improve police professionals’ well-being.

The objective of this article is to analyze the mediating role of innovation capability—both radical and incremental—between technological turbulence and digital innovation ecosystem performance, considering the impact of cross-organizational knowledge sabotage. Despite the enthusiasm surrounding digitization, the high failure rate (80%) of digital transformation projects has received limited attention. This alarming statistic indicates a potential rise in opportunistic behaviors within organizations. We hypothesize that employees seeking to reduce the risk of being displaced by digital technologies, may not only hide knowledge, as previously observed, but also engage in knowledge sabotage by disseminating inaccurate information during the co-creation of digital innovations within the digital innovation ecosystem.

The study employed structural equation modeling to examine moderated mediation using survey data collected from 148 firms, mainly from sectors of high to medium levels of digital intensity.

The most significant finding indicates that cross-organizational knowledge sabotage considerably reduces the only mediating effect, namely that of incremental innovation capability.

Our study presents a novel perspective by investigating the phenomenon of cross-organizational knowledge sabotage. Unlike prior research, which primarily identified the existence of knowledge hiding, our findings suggest that employees are not only willing to withhold information but also to disseminate inaccurate information to external partners. Consequently, our research extends the boundaries of the existing knowledge field by demonstrating that cross-organizational knowledge sabotage has repercussions that extend beyond intra-organizational impacts, as previously recognized. It also adversely affects the outcomes of collaborative work within the digital innovation ecosystem.

Short-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.

This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.

The findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.

Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.

This study aims to understand the leadership characteristics of founders of social and environmental enterprises in Latin America who have achieved business success with a focus on sustainability despite difficult social, economic, political and even health contexts in which they live.

This nonexperimental research is a qualitative, descriptive and exploratory study. Twenty-one in-depth interviews were conducted with social/environmental entrepreneurs of the Kunan Network (an organization that groups the entrepreneurial ecosystem in Peru).

The study analyzes the leadership profile and characteristics of entrepreneurs who have created profitable businesses with a social/environmental focus that solve relevant social problems and contribute to improving people’s quality of life and caring for the environment.

Although only 21 business leaders with outstanding participation and positive social and environmental impact were included in this study, they were supported and recognized by the Kunan Network.

The study contributed to the conceptualization and understanding of the profile of leaders of social and environmental enterprises, whose main challenges are to solve social or environmental problems of society and contribute to improving the quality of life of people and the environment. Knowing the profile of these entrepreneurs generates value to the knowledge of the subject and contributes to understand and propose strategies to improve the ecosystem of social-environmental entrepreneurship in emerging countries such as Peru. This will contribute to the creation of relationships and alliances with various social actors: public, private, third sector, academia, among others, for the management and promotion of sustainable business.

El estudio busca conocer las características de liderazgo de los fundadores de empresas sociales y ambientales en América Latina que lograron el éxito de sus negocios desde un enfoque de sostenibilidad a pesar del difícil contexto social, económico, político e incluso sanitario en el cual viven.

En la investigación no experimental de tipo estudio cualitativo, descriptivo y exploratorio, se realizaron 21 entrevistas en profundidad a emprendedores socio/ambientales de la Red Kunan (organización que agrupa el ecosistema emprendedor en el Perú).

El estudio analiza el perfil de liderazgo y las características que tienen los emprendedores que crearon negocios rentables con enfoque social/ambiental que resuelven problemas sociales relevantes y contribuyen al mejoramiento de la calidad de vida de las personas y al cuidado del ambiente.

El estudio incluyó solo a 21 líderes emprendedores con destacada participación y impacto social y ambiental positivo, sin embargo es importante el reconocimiento y respaldo que estos tienen de parte de la Red Kunan.

El estudio contribuyó a la conceptualización y comprensión del perfil de los líderes de empresas sociales y ambientales cuyos principales desafíos son resolver problemas sociales y/o ambientales de la sociedad y contribuir al mejoramiento de la calidad de vida de las personas y del medio ambiente. Conocer el perfil de estos emprendedores creemos que genera valor al conocimiento del tema y contribuye a entender y proponer estrategias para mejorar el ecosistema del emprendimiento social/ambiental en países emergentes como el peruano; lo cual contribuye a generar relaciones y alianzas con diversos actores sociales: públicos, privados, tercer sector, academia, entre otros para la gestión y promoción de negocios sostenibles.

O estudo procura conhecer as características da liderança dos fundadores das empresas sociais e ambientais na América Latina que alcançaram o sucesso desde uma abordagem sustentável apesar do contexto social, econômico, político e sanitário difícil no qual vivem.

Na pesquisa não experimental de tipo de estudo qualitativo, descritivo e exploratório, se realizaram 21 entrevistas detalhadas a empreendedores socio/ambientais da Kunan Rede (organização que agrupa o ecossistema empreendedor no Peru).

O estudo analisa o perfil de liderança e as características dos empreendedores que criaram negócios rentáveis com uma abordagem socioambiental que resolvem problemas sociais relevantes e contribuem ao melhoramento da qualidade de vida das pessoas e ao cuidado do meio ambiente.

O estudo só incluiu 21 líderes empreendedores com destacada participação e um impacto socioambiental positivo. Não obstante, é importante mencionar que aqueles líderes têm o reconhecimento e apoio da Kunan Rede.

O estudo contribui para a conceptualização e compreensão do perfil dos líderes de empresas sociais e ambientais e cujos desafios principais são resolver problemas sociais e/ou ambientais da sociedade e ajudar ao melhoramento da qualidade de vida das pessoas e do meio ambiente. Conhecer o perfil desses empreendedores pode gerar valor ao conhecimento do tema e ajudar ao seu entendimento e propor estratégias para aprimorar o ecossistema do empreendedorismo socioambiental em países emergentes como Peru, assim pode contribuir ao relacionamento e parcerias com diversos atores sociais do setor público, privado, terceiro setor, academias, entre outros, para a gestão e promoção de negócios sustentáveis.