Title

An Applied Organizational Rewards Distribution System

Publication Title

Management Decision

Publication Date

2012

Document Type

Article

DOI

http://dx.doi.org/10.1108/00251741211216241

Keywords

asset management, costing, human capital, optimization, portfolio management, rewards distribution

Disciplines

Business | Human Resources Management

Abstract

Purpose

– How can managers optimally distribute rewards among individuals in a job group? While the management literature on compensation has established the need for equitable reimbursements for individuals holding similar positions in a function or group, an objective grounding of rewards allocation has certainly escaped scrutiny. This paper aims to address this issue. Design/methodology/approach – Using an optimization model based on a financial rubric, the portfolio approach allows organizations to envision human capital assets as a set (i.e. a team, group, function), rather than independent contractors. The portfolio can be organized and managed for meeting various organizational objectives (e.g. optimizing returns and instrumental benefits, assessing resource allocations). Findings – This research introduces an innovative portfolio management scheme for employee rewards distribution. Akin to investing in capital assets, organizations invest considerable resources in their human capital. In doing so, organizations, over time, create a portfolio of human capital assets. The findings reduce large variances in rewards distribution yet serving employee and management considerations. Practical implications – The research has tremendous implications for managers who can mitigate serious equitable rewards distribution issues by creating a process that exemplifies rewards distribution using four different rewards allocation scenarios based on varying managerial prerogatives. Originality/value – This research is a unique model that addresses a pressing human resource issue by solution based on a usable and feasible optimization mechanism from financial portfolio theory.

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