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The main objective of the study is to address the lack of sustainability assessments of smart connected health systems in the academic literature by presenting an assessment model to determine the alignment of these systems with the 17 Sustainable Development Goals (SDGs) proposed in the 2030 Agenda.

An evaluation model based on decision analysis is proposed that includes three phases: alignment framework, information gathering and assessment. This model measures the alignment of the connected health system with each of the 17 SDGs, identifying the goals and criteria associated with each SDG that the system achieves to satisfy.

The analysis reveals that the system has achieved more than 24% of the targets among the 17 SDGs. In addition, it identifies four sustainability challenges that the system potentially addresses in relation to the SDGs, providing valuable guidance for researchers and practitioners interested in sustainable health technology development.

The study's results have significant implications for policymakers and stakeholders in the health and technology sectors.

The originality of this study lies in its comprehensive approach to assessing the sustainability of connected health systems in the context of the SDGs, filling an important gap in the existing literature.

This study aims to understand the effect of cultural dimension (individualism/ collectivism) on promotional rewards (social or economic) resulting in incentivizing consumers to engage in electronic word-of-mouth (eWOM), further impacting their repurchase intentions.

In Study 1, a 2 (culture: individualism vs collectivism) × 2 (promotional rewards: social vs economic) between-subjects design was used. Structural equation modeling was used to test the hypotheses. In Study 2, culture was measured instead of just being manipulated. The authors used regression analysis in this study.

Owing to the characteristics of collectivistic individuals, consumers in collectivistic cultures were more likely to respond to social rewards as an incentive to engage in eWOM. However, consumers in individualistic cultures were more motivated to engage in eWOM when economic rewards were offered.

Despite the global nature of eWOM, little research has explored the effects of cultural traits on consumer response to amplified eWOM strategy. Additionally, though many organizations now offer various promotional incentives to reviewers, little research has explored the effects of promotional offers on a reviewer’s subsequent behavior, and no research has explored the relationship between cultural dimensions and current and future response to promotional eWOM rewards.

The objective of this study is to determine the efficiency of tourist accommodation companies located in the main tourist area of southern Europe as one of the three elements of the local sustainable development triangle.

The analysis, carried out using the data envelopment analysis (DEA) methodology on 130 companies, has obtained that from the CCR perspective (results-oriented method when companies present constant returns on the input variables).

The companies involved are quite inefficient, while which from the BCC perspective (where the input and output variables used in the company respond to a variable and not constant scale) are quite efficient. The efficiency of these companies in the seven provinces of Andalusia has also been analysed to determine if there are patterns that differentiate them and thus be able to propose strategies that improve the sustainability of these territories. The conclusions of the study indicate the need to improve the operational efficiency of rural accommodation companies.

The analysis of efficiency in the hotel sector and even more so in the rural tourism sector is relatively scarce in the literature, especially in Spain. More specifically, Rubio and Román (2006) have demonstrated the existence of scale inefficiencies in hotels, but no evidence has been found in previous studies that this behaviour carries over to accommodation establishments located in the destinations under study.

Organizational happiness has received exponential attention in recent years. To offer an over-view for future research gap, this article produces a comprehensive review by combining bibliometric analysis and interviews to key authors in the field. The main objective of this paper is to show the state of research regarding the environment in the management of happiness in organizations: the evolution of scientific activity, current trends in authorship, topics and future setting research agenda.

The methodological process focuses on a mixed method. A systematic review of the relevant literature; bibliometric analysis and network mapping in the Web of Science and Scopus data-bases; bibliometric network analysis of authorship, citation and co-occurrence of key words in scientific publications.

The results reveal that happiness management is gaining importance and, moreover, more than half of the publications about happiness management are related to the environment in which the organizations are immersed. Therefore, the study provides some research directions and insists on role of environment to better understand the theoretical and practical perspectives. Likewise, bibliometric analysis and interviews allow to measure quality, impact, productivity and scientific evolution which are increasingly valued in order to identify the main concepts and topics that are considered key, drivers of research and those gaps that should be addressed in future research work for the conceptual framework of happiness management in organizations.

Conclusions are drawn that promoting corporate social responsibility strategies, aimed at fostering sustainability and care for the environment result in the well-being of organizations and the performance of their workers are highlighted.

This study conducts a comparative analysis of the impact of educational mismatch on Spanish wages. This paper aims to focus on the industrial, construction and service sectors at three levels of disaggregation: sector, occupation and gender.

The over-education, required education and under-education (ORU model), was applied to data from the 2018 Spanish Wages Structure Survey conducted by the Spanish National Statistics Institute.

The industrial sector is the one that best manages over-education by offering the highest returns to each year of over-education. It is also the sector that most values the education of women, particularly those in highly qualified positions.

This study compares the wage effects of educational mismatch in the service, industry and construction sectors. Previous literature has ignored the latter sectors in this field of study, but the results of the present study show that the industrial sectors significantly value and remunerates worker education. Therefore, it may be worthy to focus certain economic and social policies on this sector, to contribute to reducing gender wage gaps and gender employment discrimination in the economy.

This study aims to address the global food waste problem in restaurants by analyzing customer sales information provided by restaurant tickets to gain valuable insights into directing sales of perishable products and optimizing product purchases according to customer demand.

A system based on unsupervised machine learning (ML) data models was created to provide a simple and interpretable management tool. This system performs analysis based on two elements: first, it consolidates and visualizes mutual and nontrivial relationships between information features extracted from tickets using multicomponent analysis, bootstrap resampling and ML domain description. Second, it presents statistically relevant relationships in color-coded tables that provide food waste-related recommendations to restaurant managers.

The study identified relationships between products and customer sales in specific months. Other ticket elements have been related, such as products with days, hours or functional areas and products with products (cross-selling). Big data (BD) technology helped analyze restaurant tickets and obtain information on product sales behavior.

This study addresses food waste in restaurants using BD and unsupervised ML models. Despite limitations in ticket information and lack of product detail, it opens up research opportunities in relationship analysis, cross-selling, productivity and deep learning applications.

The value and originality of this work lie in the application of BD and unsupervised ML technologies to analyze restaurant tickets and obtain information on product sales behavior. Better sales projection can adjust product purchases to customer demand, reducing food waste and optimizing profits.

The efficiency of an educational program on entrepreneurial competence, Training the Potential Entrepreneur. Generation of an Educational Model for Entrepreneurial Identify (PEIEO) is evaluated in this study.

Pre and post intervention tests were administered to an Experimental Group (EG) and a Control Group (CG). Moreover, four hypotheses are proposed (H1, H2, H3, H4) and tested on a sample of 1036 Spanish students. The following instruments were applied: Attitude Towards Entrepreneurship-Spanish adaption; Measurement Scale of Personal Initiative in Educational Settings and Scale of General Self-Efficacy. ANCOVA and the Student's t-test were applied to the results.

The results show that training in entrepreneurial identity increases the entrepreneurial potential of young people (H1). A notable increase in proactivity and being a self-starter was observed with regard to personal initiative within the EG, and for self-efficacy (H3) both of which were predictors of entrepreneurial identity. Gender was likewise a predictor (H4).

Young people attending the PElEO training program in entrepreneurial potential increased their levels of entrepreneurial identity, thereby confirming the effectiveness of the program.

The program (PEIEO) is based on the development of entrepreneurial potential, a dimension that generates entrepreneurial identity (creativity, leadership, achievement and personal control).

This study aims to structure a model for integrating social value into strategic management based on identifying the critical success factors (CSF) for such integration in the investigated companies.

This research was based on the actor–network theory. Through a rigorous approach to the case study methodology in a two-stage process lasting 21 months, we carried out this study.

Companies that use the polyhedral social accounting model in their strategic management processes do so without a reference model. We identified CSF for integrating social value, which was incorporated into a protocol model based on stakeholder theory and the use of social accounting.

Practitioners can use the proposed model to maintain the alignment of strategic performance and purpose. Using social accounting based on indicators and financial proxies allows managers to incorporate social value into strategic management in terms of financial value.

The institutional demand for social information is based on the growing sensitivity of companies. Aligning social values with business strategies contributes to social sustainability.

This study focuses on an unresearched emerging phenomenon. Since the first approach to stakeholder theory, the development of a stakeholder-oriented strategy has faced the lack of a stakeholder accounting system. The polyhedral model of social accounting could help overcome this problem as it provides information that allows a novel and innovative method to make a stakeholder-oriented strategy effective.

This study examines the use of dark humor in brand-to-brand communications on social media and its impact on consumers' brand perceptions. In particular, this study looks at roasting messages in which a brand humorously insults its peers.

The authors used a sampling method to recruit 286 participants from the United States. They employed an ANOVA and Tukey's post hoc analysis to test the hypotheses, as well as Hayes' PROCESS to test the mediation and moderation effects, including Johnson–Neyman procedure.

The authors found that not all customers find roasting messages funny. Rather, consumers' personality and age will influence their perceived humor of the messages and their brand evaluations. Customers who are young and extroverted are likely to believe roasting messages to be funny. They thus perceive the brand to be cooler and more sincere when using such a communication approach, compared to when the brand neutrally interacts with others. Meanwhile, brands may find less success with old and introverted customers.

This research sheds light on how the consumers' perception of humor in a roasting type of brand-to-brand communication has an impact on consumers' psychological perceptions of brand coolness and brand sincerity. To guide practitioners, it explored how the interaction between a consumer's personality and age moderates the aforementioned relationship.