With the deep integration of artificial intelligence into the workplace, how to support older employees in continuously adapting to change and achieving sustainable late-career development has emerged as a critical challenge for organizational management. Using self-determination theory as the theoretical foundation, this study examined the relationship between age-inclusive human resource practices and successful aging at work based on three-wave data from 236 older employees engaged in AI-related work settings. In particular, we examined a mediated moderation model in which the interaction between age-inclusive human resource practices and AI crafting is indirectly associated with successful aging at work through work-related basic need satisfaction. The results showed that age-inclusive human resource practices were significantly and positively associated with successful aging at work. Furthermore, the relationship between age-inclusive human resource practices and work-related basic need satisfaction was strengthened when older employees engaged more actively in AI crafting. Further analyses indicated that AI crafting moderated the relationship between age-inclusive human resource practices and successful aging at work through work-related basic need satisfaction. This study extended self-determination theory to the context of intelligent workplaces and contributed to the literature on successful aging at work by identifying the joint roles of organizational practices and employee proactive behavior. Moreover, the findings may provide practical insights for organizations seeking to support successful aging at work in the digital era.
This article observes the influence of e-government on promoting people’s subjective well-being, which is the core driver of social development and the highest measure of individual quality of life. The goal of any economic development and social policy, like e-government, is to improve the well-being of people. However, limited studies have reported on how the development of e-government leads to individual subjective well-being. To bridge this gap, the study uses the Situation–Organism–Behavior–Consequence (SOBC) model to explore how the development of e-government and its subsequent utilization can enhance people’s subjective well-being. Specifically, we examine how e-government performance (EGP), e-government service quality (EGSQ), adoption of e-government services (AEGS), and government capacity (GC) as a moderator contribute to the development of citizens’ subjective well-being (CSWB) from the Chinese perspective. We used Partial Least Squares Structural Equation Modeling (PLS-SEM) with Smart-PLS to evaluate 317 valid responses accumulated through convenience sampling. The findings demonstrate that EGP is a significant determinant of EGSQ (β = 0.586, t = 10.420, p < 0.001) and EGSQ, in turn, positively drives the AEGS (β = 0.492, t = 10.106, p < 0.001). Furthermore, AEGS is a significant predictor of the CSWB (β = 0.626, t = 13.160, p < 0.001). Additionally, GC significantly moderates the influence of EGP on EGSQ (β = -0.090, t = 2.044, p < 0.05) as well as the effect of EGSQ on AEGS (β = 0.087, t = 2.485, p < 0.05). However, GC did not significantly moderate the impact of AEGS on CSWB (β = -0.029, t = 0.822, p > 0.05). The academic and policymaking implications of e-government on the development of individual subjective well-being are thoroughly discussed.
Family plays a crucial role as a socializing agent and is primarily responsible for care, education, and integration of children. Parents’ beliefs, attitudes, and behaviors about parenting are constructed and interpreted within their historical-cultural contexts and are mainly organized in two dimensions: warmth and control. Due to the scarcity of research on parenting in Morocco, we aimed to adapt and assess the psychometric properties of the Warmth/Affection Scale and the Parental Control Scale for the Moroccan context. Additionally, we conducted a cross-cultural analysis between Spain and Morocco, examining the warmth and control dimensions based on the gender and age of both parents and children. A total of 1998 students participated, 1299 living in Spain and 699 in Morocco, aged between 11 and 18 years. Results have shown adequate psychometric properties of the Spanish and Moroccan questionnaire versions, together with strict gender and age invariance within each country and between countries. Intra-country comparisons showed that in Spain, there are differences in Warmth and Control dimensions according to children’s age and parents’ gender, whereas in Morocco, differences were only found in maternal and paternal evaluation. The comparison between countries showed that Spanish students perceived higher levels of warmth and control from their parents (both mothers and fathers) than Moroccan students. The findings can provide a solid foundation for promoting intercultural understanding, improving parenting skills, adapting interventions and support services to families in a culturally sensitive manner, and fostering inclusion and diversity in society.
Learning is strongly shaped by cognitive and emotional processes. Here, we designed an ecological study to assess how attention, motivation, and emotion, which are particularly relevant for academic success, are differently associated with learning in two teaching modalities (online and in-person) in university students. When comparing the effect of teaching modality on each cognitive and emotional variable, we found that retention of lecture material, attentiveness, and motivation were all worse in the online modality. We further examined, through mixed-effects multiple regression analyses, how retention was predicted by attention, motivation, and emotion along with the teaching modality. We found that only attentiveness significantly predicted material retention accounting for approximately 11–12
To address poor cross-group generalization and the disconnection between music empathy recognition and well-being-oriented application goals, this paper constructs CMET-Opt, a three-layer collaborative framework integrating ConvNeXt V2 for psychoacoustic feature enhancement, UniSpeech-SAT V2 for cross-group empathic emotion recognition, and LLaMA-3 for optimization decision-making within a “recognition–optimization” loop. Quantitative experiments show that CMET-Opt achieves an overall accuracy of 89.7 p<0.01 ) and a strong but imperfect correlation between algorithmic indicators and human subjective ratings ( r=0.87 ). The study also acknowledges that proxy group labels and conventional classification metrics cannot fully disentangle group-level response bias from genuine perceptual sensitivity. These findings suggest that CMET-Opt provides a preliminary and empirically supported computational framework for cross-group music-evoked empathic emotion recognition and optimization, while larger-scale human validation remains necessary for stronger claims about subjective well-being-related association.
