人力管理的英文版案例 利用数学模型研究 值得一看

A Mathematical Model to Monitor Late Arrivals at
Work by Junior Staff
S. A. Oke & T. M. Ezenachukwu
ABSTRACT
Staff organisational linkages research (i.e., absenteeism, work accidents, turnover) is receiving
increasing attention in the growing business competitiveness of today that requires effective
utilisation of human resources. Organisations seek to hire the ‘best brains’, train them, and bring
out the best in them so as to optimise the company’s potential. Thus, organisations strive to
control absenteeism in order to maximise human resources utilisation. This paper is a refreshing
approach at addressing matters that relate to staff organisational linkages. The paper presents a
mathematical model on the absenteeism research. The model is developed and applied in a
process industry that engages in the production and sales of beer and soft drinks. The model
quantifies the extra amount payable to a junior staff on an hourly basis. Junior staff who arrive
early at work for productive activities would be paid an equivalent value of money for every extra
hour spent using a scheme that is based on the principle of polynomial interpolation and
numerical analysis which calculates the amount earned based on time. The formulation is tested
to ensure accuracy of results generated during usage. This approach is fair to all staff involved
since a linear model would not be favourable to staff residing far away from the company’s work
place location. The implications of this paper to human resources practices in contemporary
organisations are many sided. However, a strong point is that the consciousness of being
monitored by management has the potential to bring about the ‘best’ in staff, and it is also likely
there would be a quest for prompt attendance and regularity at work. Possibly, there would be a
strong drive not to enter into the ‘black book’ of the organisation. Consequently, the development,
and application of this performance driven reform could be greatly enhanced in an information
technology environment that displays performance results promptly. These contentions are
discussed.