AN ALGORITHM FOR ASSESSING STAFFING ADEQUACY AND FINANCIAL PROVISION OF SERVICE ENTERPRISES

The economic potential of a service enterprise depends on its staff. Staff competence (the qualification and performance of employees) determines how much of the enterprise's potential can be realised, and the number of employees determines how far that potential can be scaled. Managers often decide on hiring without a common quantitative basis that links competence, headcount and funding. To propose a transparent algorithm that (i) adjusts the economic potential of a service enterprise for staff competence, (ii) derives the number of additional employees required to realise the initial potential, (iii) tests whether the additional staff are financially supported, and (iv) assesses the financial result of hiring through an incremental analysis. The algorithm uses a proportional model in which the realised potential is the initial potential multiplied by the competence index. The required headcount is obtained by rounding up the ratio of the initial headcount to the competence share. The financial coverage index (MTD) compares the funds available for hiring with the monthly cost of the additional staff, capped at 100 percent. The incremental financial result and its marginal form are used to choose a hiring level. The procedure is demonstrated on a hypothetical enterprise with 100 employees and a competence index of 79.72 percent. The algorithm yields a requirement of 26 additional employees for the given case, a financial coverage of 76.92 percent for a monthly budget of 80 million so'm, and a shortfall of 24 million so'm. A sensitivity table shows how the required headcount and the coverage change with headcount and competence. The degenerate case in which no additional staff are needed is defined explicitly. The algorithm gives a transparent and reproducible link between staff competence, headcount and funding. Its results depend on the assumption of proportional scaling, which must be tested on enterprise data before the algorithm is used for management decisions.

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