On analyzing job hop behavior and talent flow networks

• Main Authors: OENTARYO, Richard J., ASHOK, Xavier Jayaraj Siddarth, LIM, Ee-peng, PRASETYO, Philips Kokoh
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Career progression; Flow network; Gain insight; Job seekers; Job-hopping; Population levels; Work experience; Working professionals; Data mining; Computer Sciences; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/3972; https://ink.library.smu.edu.sg/context/sis_research/article/4974/viewcontent/Jobhop_Behav_2017_afv.pdf
• Institution: Singapore Management University

Analyzing job hopping behavior is important for theunderstanding of job preference and career progression of working individuals.When analyzed at the workforce population level, job hop analysis helps to gaininsights of talent flow and organization competition. Traditionally, surveysare conducted on...