Human Resource Optimization in the Hospitality Industry Big Data Forecasting and Cross-Cultural Engagement

The expansion of the hospitality industry in the Asia-Pacific region presents dual challenges for human resource management: optimizing labor costs while governing cross-cultural teams. Using an international hotel group as a case study, this paper investigates the coupled effects of organizational efficiency and cultural development through big data forecasting models and the Denison Culture Assessment Tool. A workforce forecasting model was constructed using historical labor hour data and productivity metrics, validated via multiple regression and ARIMA time series analysis. Results indicate that integrating an intelligent scheduling system with labor productivity models achieved $26 million in annual labor cost savings and a 15% increase in core position retention rates. Regarding cultural development, analysis integrating cultural assessments and employee surveys revealed a significant correlation between value alignment and employee satisfaction (r=0.71, p<0.01), with average employee satisfaction increasing by 12%. This research demonstrates that in cross-cultural contexts, human resource strategies combining data-driven forecasting with cultural interventions can achieve dual benefits in cost reduction and employee engagement.