DocumentCode :
13523
Title :
The Inquiry of Labor Market Dynamics in Knowledge Economies: An Agent-Based Approach
Author :
Tsan Sheng Ng ; Yong Chuen Kang
Author_Institution :
Ind. & Syst. Eng. Dept., Nat. Univ. of Singapore, Singapore, Singapore
Volume :
43
Issue :
2
fYear :
2013
fDate :
Mar-13
Firstpage :
416
Lastpage :
427
Abstract :
Elucidating the dynamics of national labor trends is a highly complex problem, as the labor market system is an interaction and interrelation of many variables and subsystems. To understand firm behavior and hence enable effective policy making, one must adopt a systems thinking and evolutionary approach to study the interplay of these forces and systems. This paper advocates the use of agent-based modeling to study labor market dynamics in a knowledge-based economy, in particular, the emergence of firm strategies and macroeconomic phenomena. An agent-based model is developed to simulate a labor market where firms post job offers to fill vacancies and decide how to choose and remunerate employees. Employees are initialized with a certain skill level and select jobs by comparing job offers. We then allow evolutionary forces to “select” firms that best survive in a given scenario and explore the strategies that emerge from interconnected systems and processes.
Keywords :
job specification; knowledge management; labour resources; macroeconomics; software agents; strategic planning; agent-based modeling; employees; evolutionary approach; firm behavior; firm strategies; interconnected systems; job offers; job posting; job selection; job vacancies; knowledge-based economy; labor market dynamics inquiry; labor market simulation; labor market system; macroeconomic phenomena; national labor trends; policy making; systems thinking; Adaptation models; Analytical models; Companies; Economics; Knowledge based systems; Object oriented modeling; Agent-based modeling; knowledge economy; labor market dynamics; simulation;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2216
Type :
jour
DOI :
10.1109/TSMCA.2012.2195167
Filename :
6202709
Link To Document :
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