Abstract

It is essential for success to build an organization filled with good, talented, well-trained people, which is also the center of human resource management. The author combined the complex network with human capital to solve the problems. The author employed fuzzy synthetic evaluation method to figure out the Euclidean distance between different departments in ICM, and then built the human capital network of various departments. Based on the Lyapunov stability theory, the author described the dynamic process of human capital in ICM. Through establishing the dynamic complex network model of human capital, the author drew the conclusion that the next two years’ budget of recruiting and training is 34.22σ when the annual churn rate goes to 18%. By Pajek programming, the author used the visualization tools to simulate the staff flow. Through establishing the dynamic simulation model of the staff turnover, the author reached the position’s integrity condition of ICM when the job churn rate is 25% and 35%, respectively. Then the author explained the costs caused by high turnover rates and the indirect effects of high churn rates. The author simulated the change of position’s integrity degree of junior managers and experienced supervisors in the next two years. The author concluded that the HR health of the organization is below the expectation. In addition, the author made sensitivity analysis on the 7 factors of human capital value and consequently drew that the amount of employees of each hierarchy has the greatest influence on human capital value. At last, to make further discussion on the model, the author established the multilayer complex network model including flow, trust, influence and friendship.

Highlights

  • In 2005 the European Commission (2005) explicitly stated that ‘‘well developed human resources in R & D are the cornerstone of advancement in scientific knowledge, technological progress, enhancing the quality of life, ensuring the welfare of European citizens and contributing to Europe’s competitiveness’’

  • The author explained the costs caused by high turnover rates and the indirect effects of high churn rates

  • The author concluded that the HR health of the organization is below the expectation

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Summary

Introduction

In 2005 the European Commission (2005) explicitly stated that ‘‘well developed human resources in R & D are the cornerstone of advancement in scientific knowledge, technological progress, enhancing the quality of life, ensuring the welfare of European citizens and contributing to Europe’s competitiveness’’. This acknowledgement derives from already existing EU research policies. 2) Based on Question one, we need to establish a mathematical model to describe the dynamic process of human capital network. We have to explain the impact of the HR health condition of the organization in that situation to the ICM HR supervisor

The Overall Analysis of the Problem
The Calculation of Each Department’s Human Capital Value
Fuzzy Synthetic Evaluation Model of Euclidean Distance’s Calculation
The Opinion Rating of the Evaluation Object
Dynamic Complex Network Model of Human Capital
Time-Varying Complex Dynamical Network Model and Preliminaries
Exponential Synchronization for the Time-Varying Network
Numerical Example
Assumption and Reasonable Explanation of the Model
The Specific of Full Status for Positions
The Direct and Indirect Costs of High Turnover Rate
The Simulation Model of Integrity Degree for Junior Managers
The Simulation Model of Integrity Degree for Experienced Supervisors
The Summary of These Two Simulation Models
Testing the Model
The Sensitivity Index of the Other Five Factors
The Comparison of the Sensitivity Index’s Absolute Value
Final Conclusion
Findings
Discussion of the Model
Full Text
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