Path to Success: Human Resource Management Decision-Making

Abstract

A constrained shortest path algorithm is used to
analyze Human Resource Management (HRM) decisions within a
firm. An empirical analysis is performed using Statistics
Canada’s Workplace and Employee Survey (WES), which
consists of variables relating to employers and their employees,
conducted from years 1999 through 2004, inclusively. The
research explores the relationships among these specific
organizational workplace practices and their effect on the success
of the firm in terms of profit and labor productivity. The results
are compared to the current literature. In general, it is
discovered that optimal management strategies are highly
dependent upon the performance measure in which the firm
chooses to evaluate its success.