A Resource Granularity Framework for Estimating Opportunity Costs

Posted: 11 Sep 2015

See all articles by Ramji Balakrishnan

Ramji Balakrishnan

University of Iowa - Department of Accounting

Shiva Sivaramakrishnan

Rice University

Shyam Sunder

Yale University - School of Management; Yale University - Cowles Foundation

Date Written: February 1, 2004

Abstract

This paper presents a framework to help decisions makers better measure the opportunity cost of resources with different granularity. We characterize resources by the intrinsic lumpiness of acquisition (acquisition granularity), storability of benefits (expiration granularity), and control over the rate of consumption of available benefits (consumption granularity). We illustrate how these concepts can help make better decisions and yield sharper insights into observed practices.

Keywords: opportunity cost, resource management, time-based costing, resource granularity, costing and decision-making, cost systems

JEL Classification: M40, M46

Suggested Citation

Balakrishnan, Ramji and Sivaramakrishnan, Shiva and Sunder, Shyam, A Resource Granularity Framework for Estimating Opportunity Costs (February 1, 2004). Accounting Horizons, Vol. 18, No. 3, September 2004, Available at SSRN: https://ssrn.com/abstract=2656362

Ramji Balakrishnan

University of Iowa - Department of Accounting ( email )

108 Pappajohn Business Building
Iowa City, IA 52242-1000
United States
319-335-0958 (Phone)
319-335-1956 (Fax)

Shiva Sivaramakrishnan

Rice University ( email )

6100 South Main Street
Houston, TX 77005-1892
United States

Shyam Sunder (Contact Author)

Yale University - School of Management ( email )

165 Whitney Avenue
P.O. Box 208200
New Haven, CT 06520-8200
United States
203-432-6160 (Phone)

HOME PAGE: http://www.som.yale.edu/faculty/sunder/

Yale University - Cowles Foundation ( email )

Box 208281
New Haven, CT 06520-8281
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
1,178
PlumX Metrics