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- Title
SOCIAL MEDIA AND CLOUD COMPUTING IMPACT ON HUMAN RESOURCE MANAGEMENT IN MULTINATIONAL ENTERPRISES.
- Authors
TIANLIANG DU
- Abstract
To address the issues of high storage costs for human resource data, resource management of human resource systems, and employee social interaction in human resource management, this study proposes an adaptive intelligent HR data placement strategy based on genetic algorithms. Additionally, a fitness model and an employee social interaction model are presented. The fitness model utilizes genetic algorithms to optimize data storage strategy and server load balancing, resulting in reduced overall costs and efficient resource utilization. This is achieved by comprehensively considering data transmission latency and storage costs. The employee social interaction model analyzes social media blog post topics and employee ranks, and employs a co-training method to predict employee interactions. The experimental results indicated that the placement strategy can improve the HR data transfer by nearly 50% and effectively reduce the standard deviation of server load by about 10-15%. The accuracy, recall, F1 value, and precision of the employee social interaction model were 77.89%, 63.97%, 70.32%, and 71.78%, respectively. The proposed strategy and model demonstrated higher accuracy and robustness in predicting and analyzing employee social interactions, thus providing more reliable decision support for human resource management.
- Subjects
PERSONNEL management; OPTICAL disks; SOCIAL media in business; INTERNATIONAL business enterprises; SOCIAL media; CLOUD computing; GENETIC algorithms; HUMAN resources departments; SOCIAL interaction
- Publication
Scalable Computing: Practice & Experience, 2024, Vol 25, Issue 4, p2770
- ISSN
1895-1767
- Publication type
Article
- DOI
10.12694/scpe.v25i4.2815