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Digital natives constitute a substantial part of consumers nowadays. Yet, a theoretical understanding of the factors driving their engagement with new-age digital services is lacking. This study therefore aims to examine digital natives’ continuance usage of the proliferating over-the-top (OTT) services. To address these objectives, the study uses a comprehensive model that primarily integrates perceived value, cognitive absorption and customer brand engagement theories.

Data were collected using an online personal questionnaire targeting active digital natives OTT service users using the online software tool SurveyMonkey. A sample of 1,415 digital natives was analysed using structural equation modelling.

The findings indicated that continuance usage is predicted by all three theories. The results illustrate that cognitive absorption and customer brand engagement are the most critical in enhancing continuance usage. Gender effects on digital natives’ value perceptions were found. The model explains 57% of the variance in users’ continuance usage.

The study adds valuable contributions to the existing literature that are relevant to digital natives’ engagement with new-age digital services. The proposed integrated model and the role of gender in value formations provide managers with novel insights when designing effective strategies to increase continuance usage for the largest consuming generation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2022-0133

This paper aims to study the influence of leisure-time physical activity on depression crises and the difficulty in performing light household tasks.

A population-based cross-sectional study was conducted using data from the 2020 European Health Survey in Spain. A total of 1,076 individuals diagnosed with depression were selected. ANOVA, chi-square, Fisher’s exact test and Mann–Whitney U test were applied, and a simple moderation analysis was conducted using the SPSS PROCESS 4.0 macro.

Women had higher percentages of some or much difficulty in performing domestic activities (p = 0.007). Differences were found between experiencing a crisis in the past 12 months versus not having one (p < 0.001): less physical activity was performed, perceived health was worse and difficulty in performing domestic activities increased. The moderation analysis confirmed the moderating effect of physical activity on the relationship between experiencing a crisis and having difficulty with domestic activities (p = 0.017).

The usual limitation of descriptive cross-sectional studies, which cannot establish causal relationships, must be added to low sample sizes in some categories.

The analysis with gender differentiation, promoting gender-specific adapted practices, considering age and personal circumstances of the patient, appropriate exercise prescription, as well as its evaluation and follow-up, are areas where specialist nurses need to delve deeper to enhance the quality of care.

Leisure-time physical activity moderates the relationship between experiencing a crisis and having difficulty with light household tasks: those who engage in occasional physical activity have less difficulty compared to those who do not engage in it.

Negative online consumer reviews represent different forms of injustice. The effect of different types of injustice experienced in a service encounter on a brand is unknown. This study aims to investigate the effect and cause of different forms of injustice on brand love. It also explores which type of responses are more effective to mitigate their damaging effect.

One text mining, using SAS enterprise miner, and three experimental studies were conducted. ANOVA and mediation and moderation analyses were conducted to test the hypotheses.

Negative reviews specific to procedural injustice are more damaging than reviews specific to distributive or interactional injustice experienced in a service encounter. The underlying reason behind this differential effect is that perceived procedural injustice influences consumers more to punish the brand, resulting in a greater negative effect on brand love. To counter the damage, a sympathetic, rather than empathetic, brand response is more effective.

This study contributes to justice theory and brand love literature by providing evidence that procedural injustice triggers the highest level of willingness to punish and thus the lowest level of brand love. Consequently, willingness to punish, rather than emotion, is found to be the underlying reason behind procedural injustice having the strongest negative effect on brand love.

This study aims to examine the effect of corporate governance mechanisms on social responsibility in Latin America.

The hypotheses were tested using a sample of 371 companies based in eight Latin American countries, resulting in 4,823 observations.

The results show that more independent boards, with greater female representation and the presence of a sustainability committee lead companies to behave more ethically. The findings indicate that corporate governance mechanisms play an important role for companies to engage in social responsibility actions.

Governments can use these findings to draft regulations that encourage Latin American companies to disclose more non-financial information and to support a more diverse board composition. The evidence shows that the quality of national governance plays a key role in times of crisis by encouraging more responsible behavior by companies.

This study broadens the scope of application of agency theory and the resource-based view by demonstrating that the board of directors is a unique composition and that organizations must understand how to balance external and internal members on their boards in order to achieve higher social and environmental performance.

Este estudio tiene como objetivo examinar el efecto de los mecanismos de gobierno corporativo en la responsabilidad social en América Latina.

Las hipótesis se probaron utilizando una muestra de 371 empresas con sede en 8 países de América Latina, lo que resultó en 4.823 observaciones.

Los resultados muestran que directorios más independientes, con mayor representación femenina y la presencia de un comité de sustentabilidad llevan a las empresas a comportarse de manera más ética. Los hallazgos indican que los mecanismos de gobierno corporativo juegan un papel importante para que las empresas realicen acciones de responsabilidad social.

Este estudio amplía el alcance de la aplicación de la teoría de la agencia y la visión basada en los recursos al demostrar que la junta directiva es una composición única y que las organizaciones deben entender cómo equilibrar los miembros externos e internos en sus juntas para lograr un mayor impacto social. y desempeño ambiental.

Los gobiernos pueden usar estos hallazgos para redactar regulaciones que alienten a las empresas latinoamericanas a divulgar más información no financiera y apoyar una composición de directorio más diversa. Nuestra evidencia muestra que la calidad de la gobernanza nacional juega un papel clave en tiempos de crisis al fomentar un comportamiento más responsable por parte de las empresas.

This study aims to assess the relationship between anxiety with body concern, academic variables and food desire in undergraduate Nutrition students.

This was a cross-sectional study conducted with 173 students from the undergraduate course of Nutrition in the Midwest region of Brazil. Socioeconomic, academic and behavioral data (Beck Anxiety Inventory, Body Shape Questionnaire and Food Desires Questionnaire) were collected.

One-third of the students had moderate or severe anxiety symptoms. There were no differences between socioeconomic characteristics in terms of the intensity of anxiety symptoms. Students with minimal symptoms of anxiety had a higher average grade in the course, when compared to those with mild or moderate symptoms and those with severe symptoms (p = 0.001). It was observed that 46.2% had some concerns about their bodies and 11% had severe body concerns. The average grade was associated with anxiety so that 1 point in the global grade is associated to 54% (p < 0,001) less chance of having moderate; severe anxiety. In conclusion, average grade was associated with anxiety in undergraduate Nutrition students.

Average grade was a protection factor for anxiety in undergraduate Nutrition students.

This study aims to present a framework for automatically collecting, cleaning and analyzing text (news articles, in this case) to provide valuable decision-making information to destination management organizations. Keeping a record of certain aspects of the projected destination image of an attraction (Cancun in this study) will grant the design of better strategies for the promotion and administration of destinations without the time-consuming effort of manually evaluating high quantities of textual information.

Using Web scraping, news articles were collected from the USA, Mexico and Canada over an interval of one year. The documents were analyzed using an automatic topic modeling method known as Latent Dirichlet Allocation and a coherence analysis to determine the number of themes present in each collection. With the data provided, the authors were able to extract valuable information to understand how Cancun is presented to the countries.

It was found that in all countries, Cancun is an important destination to travel and vacation; however, given the period defined for this study (from July 2021 to July 2022), an important part of the articles analyzed was concerned with the sanitary measures derived from the COVID-19 pandemic. Besides, given the rise of violence and the threat of organized crime, many articles from the three countries are focused on warning potential tourists about the risks of traveling to Cancun.

The examination of the relevant literature revealed that similar analyses are manually performed by the experts on a set of predefined categories. Although those approaches are methodologically sound, the logistic effort and the time used could become prohibitively expensive, precluding carrying out this analysis frequently. Additionally, the preestablished categories to be studied in press articles may distort the results. For these reasons, the proposed framework automatically allows for gathering valuable information for decision-making in an unbiased manner.

This study aims to address the inherent uncertainties within closed-loop supply chain (CLSC) networks through the application of a multi-objective approach, specifically focusing on the optimization of integrated production and transportation processes. The primary purpose is to enhance decision-making in supply chain management by formulating a robust multi-objective model.

In dealing with uncertainty, this study uses Pythagorean fuzzy numbers (PFNs) to effectively represent and quantify uncertainties associated with various parameters within the CLSC network. The proposed model is solved using Pythagorean hesitant fuzzy programming, presenting a comprehensive and innovative methodology designed explicitly for handling uncertainties inherent in CLSC contexts.

The research findings highlight the effectiveness and reliability of the proposed framework for addressing uncertainties within CLSC networks. Through a comparative analysis with other established approaches, the model demonstrates its robustness, showcasing its potential to make informed and resilient decisions in supply chain management.

This study successfully addressed uncertainty in CLSC networks, providing logistics managers with a robust decision-making framework. Emphasizing the importance of PFNs and Pythagorean hesitant fuzzy programming, the research offered practical insights for optimizing transportation routes and resource allocation. Future research could explore dynamic factors in CLSCs, integrate real-time data and leverage emerging technologies for more agile and sustainable supply chain management.

This research contributes significantly to the field by introducing a novel and comprehensive methodology for managing uncertainty in CLSC networks. The adoption of PFNs and Pythagorean hesitant fuzzy programming offers an original and valuable approach to addressing uncertainties, providing practitioners and decision-makers with insights to make informed and resilient decisions in supply chain management.

Firm innovative performance in emerging markets must take into account the peculiarities of their competitive environment. Research on the effect of innovation on firm performance focuses mainly on high-tech firms in developed countries. This study proposes a model that empirically examines how technological and non-technological innovation influence Peruvian manufacturing firms' performance.

Using the resource-based view, a model is proposed that allows the mediation effects of technological innovation and non-technological innovation on firm performance among low and medium-low technological intensity manufacturing firms to be analyzed. The study uses structural equation modeling and mediation analysis with data from 503 Peruvian firms researched in the 2012 National Survey of Innovation.

The model's validation shows that the integrated perspective is relevant for emerging markets like Peru. Moreover, the results confirm that technological and non-technological innovation and their interrelationship are important for understanding the performance dimensions of Peruvian manufacturing firms.

This paper contributes to the literature on innovation in Latin American economies, proposing and validating a model that combines the mediation effects of technological and non-technological innovation to explain the relevant dimensions of firm performance in emerging markets.