Conference Session Tracks
학술대회 세션 트랙
This ICHRAWP features a diverse range of session tracks designed to cover key research areas, emerging trends, and interdisciplinary innovations within the field of Data Analytics.
Each track offers researchers, academicians, industry professionals, and practitioners a platform to present their work, exchange ideas, and explore the advancements shaping the future of the domain.
Aligned with the SDGs
지속가능발전목표(SDGs) 연계
UN Sustainable Development Goals
유엔 지속가능발전목표This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals, fostering knowledge exchange, innovation, and collaborative engagement.
All Session Tracks
전체 세션 트랙
Browse every track scheduled for this conference.
Innovations in Human Resource Analytics
This track focuses on the latest advancements in human resource analytics, exploring novel methodologies and tools that enhance workforce management. Participants will discuss how these innovations can drive strategic decision-making in organizations.
Predictive Modeling in Workforce Planning
This session will delve into the application of predictive modeling techniques in workforce planning, emphasizing their role in forecasting employee needs and optimizing talent allocation. Attendees will examine case studies demonstrating successful implementations.
Enhancing Employee Performance through Data Analytics
This track investigates how data analytics can be leveraged to improve employee performance metrics and outcomes. Discussions will include the integration of analytics into performance evaluation processes.
Talent Management Strategies in the Age of Big Data
This session will explore the intersection of talent management and big data, highlighting strategies for attracting, developing, and retaining top talent. Participants will analyze the impact of data-driven insights on talent management practices.
Machine Learning Applications in HR
This track focuses on the implementation of machine learning algorithms in human resource functions, including recruitment and employee engagement. Attendees will share insights on the effectiveness and challenges of these applications.
Decision Support Systems in HR Analytics
This session will examine the role of decision support systems in enhancing HR analytics capabilities. Participants will discuss how these systems can facilitate informed decision-making and improve organizational outcomes.
HR Metrics and Performance Evaluation
This track will address the development and utilization of key HR metrics for effective performance evaluation. Discussions will focus on best practices for measuring and interpreting HR performance data.
Recruitment Analytics: Transforming Talent Acquisition
This session will explore the use of analytics in recruitment processes, emphasizing data-driven approaches to enhance talent acquisition strategies. Participants will share insights on optimizing recruitment outcomes through analytics.
Retention Strategies Powered by Data Insights
This track will investigate data-driven retention strategies that organizations can implement to reduce turnover rates. Attendees will discuss the role of analytics in identifying at-risk employees and developing targeted interventions.
Organizational Analytics for Workforce Optimization
This session will focus on organizational analytics as a tool for workforce optimization, examining how data can inform organizational structure and employee deployment. Participants will analyze case studies showcasing successful organizational analytics initiatives.
Data Visualization Techniques in HR Analytics
This track will explore effective data visualization techniques that enhance the interpretation and communication of HR analytics findings. Participants will discuss tools and best practices for creating impactful HR dashboards.
Take Part in the Conference
학술대회 참가하기
Submit your abstract under the most relevant session track, or complete your registration to join the conference.