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Hotels conducting international business are acknowledging the importance of an expatriate general manager (GM), to increase the effectiveness of their knowledge management system through the sharing of knowledge between expatriates and local employees. In the aspect of comparative leadership studies, this study attempts to compare and analyze the effects of knowledge sharing (KS) efforts, which are competencies of expatriate GMs and local GMs, on employee trust, organizational KS and employee loyalty.

Data were collected from employees of 7 hotels managed by expatriate GMs among 16 franchising luxury (5-star) hotels, and from employees of 6 hotels operated by local GMs among 9 local luxury hotels located in Korea. Structural equation modeling method using SmartPLS 3.3.3 was used to analyze the data.

Expatriate GM’s two-way KS influences affective trust but does not influence cognitive trust. Affective trust influences cognitive and organizational KS but does not influence employee loyalty. Cognitive trust does not influence organizational KS but influences employee loyalty. Finally, organizational KS significantly affects employee loyalty. In addition, in the analysis comparing the estimates between expatriate and local GM group, significant differences in groups were found for the impact of GM’s two-way KS on cognitive trust, for the impact of affective trust on organizational KS, for the impact of affective trust on employee loyalty and for the impact of cognitive trust on organizational KS.

This study shows that knowledge management designs need to consider different effects of expatriate GMs’ and local GMs’ capabilities on employee attitudes and behavior considering cultural impacts. Expatriate GMs will greatly benefit their effort for KS by assuring employees that they are attentive to their needs, interests and problems.

This study not only contributes to the existing social capital theory but also provides managerial implications for human resources management in the hospitality field through a comparative study of KS efforts of expatriate and local GMs.

This paper aims to provide a comprehensive analysis of the state of the art in energy efficiency for autonomous mobile robots (AMRs), focusing on energy sources, consumption models, energy-efficient locomotion, hardware energy consumption, optimization in path planning and scheduling methods, and to suggest future research directions.

The systematic literature review (SLR) identified 244 papers for analysis. Research articles published from 2010 onwards were searched in databases including Google Scholar, ScienceDirect and Scopus using keywords and search criteria related to energy and power management in various robotic systems.

The review highlights the following key findings: batteries are the primary energy source for AMRs, with advances in battery management systems enhancing efficiency; hybrid models offer superior accuracy and robustness; locomotion contributes over 50% of a mobile robot’s total energy consumption, emphasizing the need for optimized control methods; factors such as the center of mass impact AMR energy consumption; path planning algorithms and scheduling methods are essential for energy optimization, with algorithm choice depending on specific requirements and constraints.

The review concentrates on wheeled robots, excluding walking ones. Future work should improve consumption models, explore optimization methods, examine artificial intelligence/machine learning roles and assess energy efficiency trade-offs.

This paper provides a comprehensive analysis of energy efficiency in AMRs, highlighting the key findings from the SLR and suggests future research directions for further advancements in this field.