PROJECT TITLE :

An Analytical Model of E-Recruiting Investment Decision: An Economic Employment Approach

ABSTRACT:

One of the fastest-growing segments of the e-commerce industry is online hiring. Since the mid-1990s, a variety of e-recruiting strategies have been introduced into the labor market, including job boards, corporate career Web sites, and e-recruiting consortia. Among them, e-recruiting via a corporate career Web site has been hailed as the most efficient and cost-effective technique of recruiting.

Despite the amazing rise of corporate career Web sites, no formal economic models for the study and evaluation of investment decisions in various e-recruiting technologies have been devised. To analyze the economic impact of various e-recruiting technologies, this research introduces a mathematics-based economic decision model for e-recruiting technology investment.

A traditional economic order quantity (EOQ) model was expanded to add costs specific to recruiting, such as staffing and coordination costs. For an optimal investment in e-recruiting technologies, we derive a minimum employment level. The model implies that the optimal investment cost rises rapidly around the minimum number of employees to be recruited, but that the rate of growth decreases as the total number of employees exceeds the minimum number of employees to be recruited.