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Artificial intelligence (AI) and big data analysis may further enhance the automated and smart features of tourism and hospitality services. However, it also poses new challenges to human resource management. This study aims to explore the direct and indirect effects of employees’ AI perception on career resilience and informal learning as well as the mediating effect of career resilience.

This paper proposed a theoretical model of AI perception, career resilience and informal learning with perceived AI as the antecedent variable, career resilience as the mediate variable and informal learning as the endogenous variable. Targeting the employees working with AI, a total of 472 valid data were collected. Data were analyzed using structural equation modeling with AMOS software.

Findings indicated that employees’ perception of AI positively contributes to career resilience and informal learning. Apart from the direct effect on informal learning, career resilience also mediates the relationship between AI perception and informal learning.

Research findings provide both theoretical and practical implications by revealing the impact of AI perception on employees’ career development, leaning activities, explaining how AI transforms the nature of work and career development and shedding lights on human resource management in the tourism and hospitality field.

本文提出了人工智能感知为前因变量、职业弹性为中介变量、非正式学习为内生变量的理论模型。以旅游业AI工作环境中的员工为研究对象, 本课题共收集了472份来自中国的有效数据, 并通过结构方程建模（SEM）来进行相关模型检验。

人工智能和大数据分析可能会使旅游和酒店服务更加自动化和智能化, 但这也对人力资源管理提出了新的挑战。本研究旨在探讨员工对人工智能（AI）的感知对职业弹性和非正式学习的直接和间接影响, 以及职业弹性的中介作用。

研究结果显示, 员工对人工智能的感知对职业弹性和非正式学习有积极影响。除了对非正式学习的直接影响外, 职业弹性在人工智能 (A I) 感知和非正式学习之间起中介作用。

本研究在以下几个方面具有重要的理论和实践意义：解释了人工智能感知对员工职业发展和学习行为的影响, 以及它是如何改变工作性质和员工职业发展的; 研究发现对旅游和酒店行业的人力资源管理具有实践指导意义。

La IA y el análisis de big data pueden potenciar aún más las características automatizadas e inteligentes de los servicios de turismo y hostelería. Sin embargo, también plantea nuevos retos a la gestión de los recursos humanos. Este estudio pretende explorar los efectos directos e indirectos de la percepción de la IA por parte de los empleados sobre la resiliencia profesional y el aprendizaje informal, así como el efecto mediador de la resiliencia profesional.

En este trabajo se propone un modelo teórico de percepción de la IA, resiliencia profesional y aprendizaje informal con la IA percibida como variable antecedente, la resiliencia profesional como variable mediadora y el aprendizaje informal como variable endógena. Dirigidos a los empleados que trabajan con IA, se recogieron un total de 472 datos válidos. Los datos se analizaron mediante un modelo de ecuaciones estructurales (SEM) con el software AMOS.

Los Resultados indicaron que la percepción de la IA por parte de los empleados contribuye positivamente a la resiliencia profesional y al aprendizaje informal. Aparte del efecto directo sobre el aprendizaje informal, la resiliencia profesional también media en la relación entre la percepción de la IA y el aprendizaje informal.

Los Resultados de la investigación proporcionan implicaciones tanto teóricas como prácticas al revelar el impacto de la percepción de la IA en el desarrollo profesional de los empleados, las actividades de aprendizaje, explicar cómo la IA transforma la naturaleza del trabajo y el desarrollo profesional, y arrojar luz sobre la gestión de los recursos humanos en el ámbito del turismo y la hostelería.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Companies become better positioned to exploit the capabilities of artificial intelligence (AI) when employees perceive the technology's significance. A positive response from them drives the informal learning that can enhance career resilience and boost overall firm performance.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This paper aims to facilitate reliable online diagnosis of early faults in the stator winding inter-turn short circuits of induction motors (IMs) under various operating conditions.

A novel fault characteristic component, the characteristic current amplitude, is proposed for the fault. Defined as the product of short-circuit coefficient and short-circuit current, the characteristic current is derived from the positive and negative-sequence components of the stator-side current and voltage.

Simulation models of the IMs pre- and postfault, along with an experimental platform for the motor’s inter-turn short circuit, were established. The characteristic current amplitude proves more robust against voltage unbalance and load variations, which offers enhanced reliability and sensitivity for early fault diagnosis of inter-turn short circuit in IMs stator windings.

A novel feature is proposed. Compared with negative-sequence current, which is considered as a traditional fault feature, the characteristic current amplitude exhibits a greater robustness against the imbalanced conditions, which simultaneously possesses the attributes of both reliability and expeditiousness in fault detection.

This study aims to empirically analyze the effects of marketing communications, such as advertisement/promotion and social network service (SNS) content, on consumer engagement (CE), brand trust and brand loyalty.

The study’s participants were 230 US and 376 Korean consumers who have used (i.e. contacted) a food service establishment (i.e. family restaurant) at least once before and who continue to use an SNS (e.g. Facebook and Instagram). This study conducted a hypothesis test using structural equation modeling analysis. In addition, hierarchical analysis was performed to further generalize and support the statistical analysis results.

Advertisement/promotion and SNS content have a statistically significant positive effect on CE. Advertisement/promotion has a statistically significant positive effect on brand trust, and SNS content has a statistically significant negative effect on brand trust. CE has a statistically significant positive effect on brand trust, and CE and brand trust have a statistically significant positive effect on brand loyalty. No statistically significant differences were shown between the US and Korean consumer groups (critical ratios for difference of path coefficient < ± 1.96). The hypothesis test results of the structural equation model analysis and hierarchical analysis were the same for the entire group.

The findings indicate that the overall mediating role of CE is important. To the best of the authors’ knowledge, this is the first study to investigate which marketing communication channels are most effective in the restaurant sector.

This paper aims to examine the effect of sesame oil (SO) on fatigue and mental health status in women with nonalcoholic fatty liver disease (NAFLD) undergoing a weight-loss diet.

In total, 60 women with NAFLD were randomly assigned to receive 30 g/day of either SO (n = 30) or sunflower oil (n = 30). All the patients received a hypocaloric diet (−500 kcal/day) for 12 weeks in a double-blinded controlled trial. Anthropometric indices, dietary intake, physical activity, fatigue and mental health status were measured at the baseline and the trial cessation.

In total, 53 participants completed the intervention. Significant reductions in anthropometric indices were observed in both groups (p-value = 0.001). Following SO, fatigue (p-value = 0.002), anxiety (p-value = 0.011) and depression (p-value = 0.013) scores were significantly reduced, while no significant changes were observed in stress scores.

In summary, the present study was conducted to assess the efficacy of SO consumption on fatigue and mental health status among patients with NAFLD. The results revealed SO consumption significantly reduced fatigue, anxiety and depression scores in comparison with the control group, but not for stress scores. Further clinical trials, different doses, with a longer duration of intervention, in different groups, are necessary to confirm the veracity of the results.