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article · Journal of the Operational Research Society

Dynamics of human resource and knowledge management

2003111 citationsMansoura University

In plain language

The transition toward a knowledge-based economy requires organisations to undergo widespread workforce retraining to stay at the technological forefront. Rapid job market changes also make recruiting and retaining core personnel increasingly difficult, placing companies at risk of losing crucial business knowledge when workers depart. To address these pressures, systems dynamics is used to map the relationships between recruitment, training, skills, and knowledge retention in a causal loop structure. By carrying out time-based dynamic analysis, new strategies for human resource management can be formulated. Utilising this dynamic modelling framework helps organisations evaluate workforce interventions and design more efficient policies to maintain their critical knowledge base.

Key takeaways

  • Shifting to a knowledge economy demands broad retraining to keep organisations technologically competitive.
  • Job market volatility threatens companies with the loss of critical knowledge when core staff leave.
  • Systems dynamics models map the interactions between recruitment, training, skills, and knowledge through causal loops.
  • Time-based dynamic analysis aids in developing more efficient human resource management strategies.

Why it matters

When experienced employees leave a company, vital operational knowledge often leaves with them. Understanding how hiring, training, and staff retention influence one another helps organisations prevent knowledge loss. Using dynamic modelling to forecast these workforce patterns allows businesses to plan better, invest effectively in skills development, and maintain stability in competitive markets.

Commercialisation angle

This modelling approach could enable corporate human resource planners and operational managers to design targeted training and retention policies. The work demonstrates a conceptual systems dynamics model and time-based dynamic analysis rather than a finished operational tool, suggesting it is at an early stage of methodological application.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

Recent transitions from the industrial to knowledge economy suggest an immediate and wholesale retraining scenario so that many organisations can remain at the cutting edge of technology. The dynamics of the job market is creating a challenge for many organisations in recruiting and retaining their core staff. In fact, many companies are in fear of losing critical business knowledge when their employees leave. In this paper, systems dynamics is employed to illustrate the relationship between recruitment, training, skills, and knowledge in a causal loop form. Strategies for human resource management are developed by conducting time-based dynamic analysis. We anticipate that systems dynamics modelling would help organisations to devise efficient human resource management strategies.
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Research topics

  • Complex Systems and Decision Making
  • Innovation and Knowledge Management
  • Cognitive Science and Mapping

Sustainable Development Goals

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DOI: 10.1057/palgrave.jors.2601513

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