학술논문

ARROW: A web-based employee turnover analysis tool for effective human resource management in large-scale organizations
Document Type
Conference
Source
2017 National Information Technology Conference (NITC) Information Technology Conference (NITC), 2017 National. :136-140 Sep, 2017
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Standards organizations
Tools
Testing
Companies
Natural language processing
Employee understanding
Employee past behaviour
Employee performance prediction
Survey
Natural Language Processing
Language
Abstract
To gain the competitive advantage, organizations need to adapt to the dynamic market. Therefore, many researchers have tried to find different ways for adapting to competitive conditions. Most of these research have finally ended up focusing on the human resource, which is the major and important resource in any organization. Currently human beings are treated as assets rather than resources. The System, ARROW is a unique web application developed to satisfy the requirements of company management in employee understanding process. The main objective of the system, ARROW is to fulfil the gap between employees' past, present and future behavior and the management's ability to understand the behavior of the organization's employees at the HR practices. Natural Language Processing and Data Mining techniques were used to accomplish the main objective.