Strategic human resource management plays a crucial role in fostering long-term organizational performance through data-driven decision-making. Human Resource Analytics (HRA), using advanced business intelligence and integrated reporting tools, provides insights that optimize decision-making and strategy alignment. Despite its potential, the impact of HRA on organizational performance remains insufficiently explored. This study addresses this gap by examining the effects of HRA on organizational performance in Ethiopian organizations. A quantitative research design was employed, utilizing a survey method to collect data from 269 valid responses across 55 organizations in Addis Ababa, Ethiopia. Structural Equation Modeling (SEM) via SmartPLS 3.0 software was used for data analysis. The findings reveal that HRA significantly enhances organizational performance, with this relationship mediated by strategic alignment between HR and organizational goals. Additionally, firm size was found to moderate the impact of HRA on performance, with larger firms deriving greater benefits. The results suggest that HRA serves as a powerful driver of enhanced organizational performance, with larger firms potentially reaping even greater benefits from its implementation. These results also underscore the importance of strategic alignment in leveraging HRA for improved performance, particularly in the context of Ethiopian organizations, where HRA adoption is still evolving. This study offers practical implications for organizations seeking to enhance workforce management and performance through data-driven HR strategies.

With increasing concerns of labor issue risks within supply chains, both academia and practitioners are paying increasingly great attention to how to design and implement effective management approaches to enhance labor sustainability in supply chains. Furthermore, digitalization facilitates and brings both opportunities and challenges to this area. Using the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), we conducted a systematic literature review based on 50 selected papers from the Web of Science database. Starting from the supply chain level, this study identifies digital technology (DT)-enabled labor sustainability management practices, barriers to the adoption of DT in labor management practices, and the performance outcomes of such practices. In addition, we put forward solutions to eliminate those identified barriers to facilitate DT adoption in firms’ labor sustainability management. Last, future directions and research opportunities for both supply chain management and labor sustainability are summarized.

Hotels emit large amounts of CO₂ when providing services. Carbon neutrality objectives and the growth of homestays have forced hotel managers to pay more attention to carbon reduction. First, this paper adopted the input–output method to calculate hotel CO₂ emissions. It was found that the amount of CO₂ emissions in the hotel industry decreased from the year of 2016 to 2018, and there are structural differences in the CO₂ emissions of the hotel industry in China. Furthermore, this paper adopted the three-stage SBM-DEA model to evaluate hotel CO₂ emission efficiency in 30 provinces in China. The results show that CO₂ emission efficiency increased significantly when environmental factors were eliminated. A close observation of different regions shows that the eastern region has a higher CO₂ emission efficiency than the western and middle regions. The emergence of homestays has led to increased input slacks in the labor and energy consumption of hotels, which has a negative effect on efficiency indirectly. Finally, implications and recommendations for the hotel industry are proposed.