Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology

Developing robust and refined measures to quantify strategic impacts is a major challenge facing researchers who seek to improve methods for IT investment evaluation. This paper presents a means to test for parameter "non-stationarity" in a model which quantifies the strategic contribution...

Full description

Saved in:
Bibliographic Details
Main Author: KAUFFMAN, Robert J.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1989
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/2160
https://ink.library.smu.edu.sg/context/sis_research/article/3160/viewcontent/p13_kauffman.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.sis_research-3160
record_format dspace
spelling sg-smu-ink.sis_research-31602018-07-09T05:28:02Z Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology KAUFFMAN, Robert J. Developing robust and refined measures to quantify strategic impacts is a major challenge facing researchers who seek to improve methods for IT investment evaluation. This paper presents a means to test for parameter "non-stationarity" 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 ATM network. Preliminary results suggest this approach will be useful for managers who need to evaluate similar ITs which operate in different environments. 1989-04-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2160 info:doi/10.1145/1017359.1017361 https://ink.library.smu.edu.sg/context/sis_research/article/3160/viewcontent/p13_kauffman.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Management Information Systems
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Management Information Systems
spellingShingle Computer Sciences
Management Information Systems
KAUFFMAN, Robert J.
Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology
description Developing robust and refined measures to quantify strategic impacts is a major challenge facing researchers who seek to improve methods for IT investment evaluation. This paper presents a means to test for parameter "non-stationarity" 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 ATM network. Preliminary results suggest this approach will be useful for managers who need to evaluate similar ITs which operate in different environments.
format text
author KAUFFMAN, Robert J.
author_facet KAUFFMAN, Robert J.
author_sort KAUFFMAN, Robert J.
title Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology
title_short Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology
title_full Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology
title_fullStr Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology
title_full_unstemmed Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology
title_sort parameter non-stationarity in a model to estimate the business value of information technology
publisher Institutional Knowledge at Singapore Management University
publishDate 1989
url https://ink.library.smu.edu.sg/sis_research/2160
https://ink.library.smu.edu.sg/context/sis_research/article/3160/viewcontent/p13_kauffman.pdf
_version_ 1770571827067748352