The purpose of this study is to determine if there is a positive relationship between full-range leadership and employees’ effort, efficiency, and satisfaction. A questionnaire was administered to 577 executives from Colombian companies, and the data was analyzed using a partial least squares structural equation modeling (PLS-SEM) approach. The results show that both transformational and transactional leadership have a direct and significant impact on extra effort, effectiveness, and satisfaction, with transformational leadership having the greatest impact on these factors. Conversely, passive-avoidant leadership has negative effects on these three constructs. This study validates the effectiveness of the MLQ 5X in a South American country, a geographical region where such studies are in their early stages. Finally, the whole range of leadership styles—transformational, transactional, and passive-avoidant—is looked at. These styles are seen as second-order constructs that challenge latent multidimensional models as they emerge.

Purpose: This study aimed to determine whether the brand image of fast-food restaurants moderates the relationship between satisfaction and loyalty among Chilean customers.Design/methodology/approach: The study was conducted using a structural equation modeling approach and involved a sample of 1,000 fast-food customers who were surveyed through nonprobabilistic sampling with a questionnaire consisting of 21 items. The instrument underwent validation by a panel of experts, and the results obtained were processed using the statistical software Smart PLS4. Convergent validity, discriminant validity and the structural model were tested to assess the acceptance or rejection of the proposed hypotheses.Findings: The results of the research indicate that product quality, service quality and physical environment are crucial factors influencing customer satisfaction and shaping customer loyalty. However, it was found that brand image does not moderate the relationship between satisfaction and loyalty in fast-food consumption.Originality/value: The present study contributes to the field of knowledge on fast-food consumption behavior and unveils findings that help fill knowledge gaps regarding the influence of restaurant brand image on the relationship between satisfaction and consumption loyalty. Thus, it demonstrates that, for certain customers, the brand becomes an irrelevant factor for their consumption loyalty as long as the restaurant offers product quality, excellent service and a pleasant physical environment.

The aim of this study was to determine consumer segments based on the acceptance of shoppable ads from fashion brands on online social media platforms. To achieve this objective, we used the technology acceptance model (TAM) to offer a vision of the perceptions of the shoppable ads, attitudes and behaviors of social network users, using social media marketing activities as a background. Second, we searched for fashion social buyer segments using finite mixture partial least squares (FIMIX-PLS). Third, we sought to characterize these consumer segments. A sample of 486 users of social networks who accessed through mobile devices was obtained. The inclusion of social media marketing variables as antecedents of acceptance allowed us, to a large extent, to understand the intention to buy clothing by these social media users. The a posteriori segmentation technique helps to identify different types of users who use shoppable ads and their relationship with age and concerns about privacy, trust and purchases made on the Internet. The results show that, based on the explained variance and model fit, the proposed variables allow us to explain acceptance, with two groups of consumers within the sample being found.

In the context of the growing use of social media platforms as search engines, this study examines the role of travel influencers on TikTok as persuasive agents shaping tourism-related attitudes and intentions among young users in Chile. Based on the Stimulus–Organism–Response (S-O-R) framework, it is proposed that the dimensions of the influencer construct (attractiveness, expertise, trustworthiness, authenticity, and inspiration) serve as stimuli that shape users’ attitudes toward the influencer (organism), which in turn influences three behavioral responses: the intention to follow the influencer, the intention to visit promoted destinations, and electronic word of mouth. To this end, the study aims to analyze how perceived characteristics of travel influencers shape users’ attitudes and influence their behavioral intentions. Specifically, it seeks to: (1) analyze how social media users perceive and evaluate travel influencers on TikTok, particularly focusing on how influencer attributes shape user attitudes and behavioral intentions; (2) evaluate the effects of attitudes toward these influencers on behavioral intentions toward them, the promoted destination, and electronic word-of-mouth; and (3) propose digital content strategies for tourism brands, influencers, and agencies based on attributes that effectively generate positive attitudes and intentions. This research employed a cross-sectional quantitative design with a sample of 237 TikTok users aged between 18 and 44 years, analyzed through structural equation modeling (PLS-SEM). The findings indicate that visual attractiveness, content expertise, and trustworthiness are the main predictors of a positive attitude toward influencers, whereas authenticity and inspiration were found to be non-significant. Furthermore, attitudes toward influencers strongly predicted all three behavioral outcomes. This study offers relevant implications for both academia and the tourism industry, highlighting the strategic value of visual, trustworthy, and professional content. Additionally, a multi-group analysis revealed significant generational differences in how attitudes toward influencers translate into behavioral intentions.

Este trabajo presenta la experiencia académica, tanto de profesores como estudiantes, en un curso de último año para el desarrollo de sistemas de información web mediante el uso del marco de trabajo Django del lenguaje de programación Python. Django facilita el desarrollo de aplicaciones web con el uso del patrón de desarrollo Modelo-Plantilla-Vista (MTV, en inglés). Por la simplicidad sintáctica y práctica de Python y Django, los estudiantes de una carrera del área de administración y ciencias de la información fueron capaces de desarrollar prototipos de sistemas de información. Las experiencias de los estudiantes permiten remarcar la relevancia de las primeras fases del ciclo de desarrollo de software, requerimientos y diseño. Los proyectos que se presentan son sistemas web prototipo con operaciones para crear, leer, actualizar y eliminar (CRUD, en inglés) registros de la base de datos. Se concluye que Python es un lenguaje de programación adecuado para un fácil y rápido dominio.

The purpose of this study is to determine the effect of teleworking on self-reported job satisfaction and workers’ productivity in the context of the COVID-19 pandemic. A survey was administered to 331 teleworkers belonging to industrial companies, whose data were analyzed with a PLS-SEM structural equation model. The results indicate that communication with coworkers, time spent teleworking, and workplace suitability positively affect self-reported productivity, while trust on the part of supervisors and workplace suitability positively affect job satisfaction. On the other hand, work-family conflict negatively affects job satisfaction and self-reported productivity, whereas communication with coworkers, support from supervisor and time spent teleworking have no significant effect on job satisfaction. This study provides relevant information for industrial organizations to improve the job-satisfaction and productivity in large scaled teleworking contexts, as should have been implemented during the mandatory preventive isolation due to the health crisis related to the transmission of SARs-CoV-2.