Mathematical methods in HRM analysis

This is a paper that is focusing on Mathematical methods in HRM analysis. The 12-15-page essay is a review of at least 5 articles in English and other foreign languages.

Mathematical methods in HRM analysis
The 12-15-page essay is a review of at least 5 articles in English and other foreign languages.

The essay includes:
a rationale for the relevance of the chosen topic,
the main provisions of publications, and
the author’s conclusions about the value of research data.

A 2-3-page review should reflect the following points:

  1. analysis of the relevance of the problem selected for research, taking into account existing research achievements and literature on the problem
  2. Interest, content, selected sources
  3. How well is the review of the literature and existing research achievements made?
  4. Scientific and practical value of the presented research

More details;

Human Resource Forecasting
Human Resource is undoubtedly an important part of any organization. Hence, every organization must have the right number of the workforce at the right place and that too at the right time. In order to efficiently plan the workforce, the proper needs of human resource are very necessary.

For this, the company must go for Human Resource Forecasting. In this article, we will look at the various techniques of the Human Resource Forecasting.

Techniques for Human Resource Forecasting
Managerial Judgement
Under this method, firstly experienced managers estimate the manpower requirements for their respective departments. This is done on the basis of their knowledge of expected future workload and employee efficiency. At last, the top management then aggregates and approves the departmental estimates. This is a very easy and time-saving method.

But it is quite subjective and is, therefore, suitable only for small firms. The assistance of work study, O&M, and also human resource experts can refine the estimates based on experience. This method helps in judging the informal group norms on Human Resource Forecasting.

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