PARAMETER HETEROGENEITY IN A MODEL WHICH ESTIMATES THE BUSINESS VALUE OF INFORMATION TECHNOLOGY

Abstract

Developing robust and refined measures to quantify strategic impacts is a major challenge facing researchers who seek to improve methods for information technology (IT) investment evaluation. This paper presents a means to test for parameter heterogeneity in a model which quantifies the strategic contribution of IT. An iterative "jackknife" procedure is used to diagnose if different local competitive and demographic conditions present in branch banking enhance or suppress leverage on deposit market share associated with membership in an automated teller machine (ATM) network. The results are validated using correlation analysis and re-estimating partitioned data sets for a market share model developed by Banker and Kauffman (1988). Overall, the results suggest this new approach will be useful for managers who need to evaluate similar ITS which operate in different environments.