Faculty Digital Archive

Archive@NYU >
Stern School of Business >
IOMS: Information Systems Working Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2451/14429

Title: PARAMETER HETEROGENEITY IN A MODEL WHICH ESTIMATES THE BUSINESS VALUE OF INFORMATION TECHNOLOGY
Authors: Kauffman, Robert J.
Ghosh, Avijit
Bansal, Arun
Issue Date: Aug-1989
Publisher: Stern School of Business, New York University
Series/Report no.: IS-89-009
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.
URI: http://hdl.handle.net/2451/14429
Appears in Collections:IOMS: Information Systems Working Papers

Files in This Item:

File Description SizeFormat
IS-89-009.pdf3.13 MBAdobe PDFView/Open

Items in Faculty Digital Archive are protected by copyright, with all rights reserved, unless otherwise indicated.

 

The contents of the FDA may be subject to copyright, be offered under a Creative Commons license, or be in the public domain.
Please check items for rights statements. For information about NYU’s copyright policy, see http://www.nyu.edu/footer/copyright-and-fair-use.html 
Valid XHTML 1.0 | CSS