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...
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1989
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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 |
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Computer Sciences Management Information Systems KAUFFMAN, Robert J. Parameter Non-Stationarity in a Model to Estimate the Business Value of Information Technology |
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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 |
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https://ink.library.smu.edu.sg/sis_research/2160 https://ink.library.smu.edu.sg/context/sis_research/article/3160/viewcontent/p13_kauffman.pdf |
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