A Data Mart Model for Assigning Incentives to Jobs

A.O. Olagunju (USA)


data mart; decision model; incentive; job.


This paper discusses the theoretical foundation of a data mart model for targeting and associating incentives with difficult-to-fill jobs. The approach to marketing incentives is predicated on a theory of demand and supply relative to cost. A personnel officer advertises job openings in a computerized system. The system periodically targets difficult-to-fill jobs for the personnel officer. The personnel officer supplies the system with a survey data of incentives. While marketing all jobs as equally attractive, the system periodically associates statistically significant incentives with difficult-to-fill jobs. The system allows candidates to indicate preferences for incentives and jobs.

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