A Human Resource Model for Performance Optimization to Gain Competitive Advantage

Joachim Block () and Stefan Pickl ()
Additional contact information
Joachim Block: University of the German Armed Forces
Stefan Pickl: University of the German Armed Forces

A chapter in Operations Research Proceedings 2013, 2014, pp 43-48 from Springer

Abstract: Abstract Human resources are one of the most important assets of any organization. This is especially true in the ongoing information age where a transformation from blue to white collar work takes place. Implementing efficient and effective human resource management (HRM) policies can result in a sustained competitive advantage which will contribute to the long-term success of an organization. Even though empirical studies show some evidence that HRM policies influence organizational performance, the mechanisms at work are still not uncovered completely. We present a model of an organization’s human resources from a holistic perspective. Using system dynamics and agent-based modeling and simulation, we integrated two usually distinct fields of HRM research: the micro and the macro perspective. First numerical simulation results indicate a promising approach to unlock the causal chain between HRM policies and organizational performance. Our research should not only contribute to fill an existing research gap but also help to identify HRM policies which enable management to optimize the performance of an organization.

Keywords: Agent-based Modeling And Simulation (ABMS); Effective Human Resource Management; Workforce Perspective; Workforce Levels; Micro-level View (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-07001-8_7

Ordering information: This item can be ordered from
http://www.springer.com/9783319070018

DOI: 10.1007/978-3-319-07001-8_7

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().