Making Sense of Technology Trends in the Information Technology Landscape

A major problem for firms making information technology investment decisions is predicting and understanding the effects of future technological developments on the value of present technologies. Failure to adequately address this problem can result in wasted organization resources in acquiring, dev...

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Main Authors: Adomavicius, Gediminas, Bockstedt, Jesse C., Gupta, Alok, KAUFFMAN, Robert J.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/sis_research/2125
https://ink.library.smu.edu.sg/context/sis_research/article/3125/viewcontent/adomavicius.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-31252023-06-20T02:30:06Z Making Sense of Technology Trends in the Information Technology Landscape Adomavicius, Gediminas Bockstedt, Jesse C. Gupta, Alok KAUFFMAN, Robert J. A major problem for firms making information technology investment decisions is predicting and understanding the effects of future technological developments on the value of present technologies. Failure to adequately address this problem can result in wasted organization resources in acquiring, developing, managing, and training employees in the use of technologies that are short-lived and fail to produce adequate return on investment. The sheer number of available technologies and the complex set of relationships among them make IT landscape analysis extremely challenging. Most IT-consuming firms rely on third parties and suppliers for strategic recommendations on IT investments, which can lead to biased and generic advice. We address this problem by defining a new set of constructs and methodologies upon which we develop an IT ecosystem model. The objective of these artifacts is to provide a formal problem representation structure for the analysis of information technology development trends and to reduce the complexity of the IT landscape for practitioners making IT investment decisions. We adopt a process theory perspective and use a combination of visual mapping and quantification strategies to develop our artifacts and a state diagram-based technique to represent evolutionary transitions over time. We illustrate our approach using two exemplars: digital music technologies and wireless networking technologies. We evaluate the utility of our approach by conducting in-depth interviews with IT industry experts and demonstrate the contribution of our approach relative to existing techniques for technology forecasting. 2008-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2125 info:doi/10.2307/25148872 https://ink.library.smu.edu.sg/context/sis_research/article/3125/viewcontent/adomavicius.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 Design science IT ecosystem model IT landscape analysis management of technology technology evolution IT investment 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 Design science
IT ecosystem model
IT landscape analysis
management of technology
technology evolution
IT investment
Computer Sciences
Management Information Systems
spellingShingle Design science
IT ecosystem model
IT landscape analysis
management of technology
technology evolution
IT investment
Computer Sciences
Management Information Systems
Adomavicius, Gediminas
Bockstedt, Jesse C.
Gupta, Alok
KAUFFMAN, Robert J.
Making Sense of Technology Trends in the Information Technology Landscape
description A major problem for firms making information technology investment decisions is predicting and understanding the effects of future technological developments on the value of present technologies. Failure to adequately address this problem can result in wasted organization resources in acquiring, developing, managing, and training employees in the use of technologies that are short-lived and fail to produce adequate return on investment. The sheer number of available technologies and the complex set of relationships among them make IT landscape analysis extremely challenging. Most IT-consuming firms rely on third parties and suppliers for strategic recommendations on IT investments, which can lead to biased and generic advice. We address this problem by defining a new set of constructs and methodologies upon which we develop an IT ecosystem model. The objective of these artifacts is to provide a formal problem representation structure for the analysis of information technology development trends and to reduce the complexity of the IT landscape for practitioners making IT investment decisions. We adopt a process theory perspective and use a combination of visual mapping and quantification strategies to develop our artifacts and a state diagram-based technique to represent evolutionary transitions over time. We illustrate our approach using two exemplars: digital music technologies and wireless networking technologies. We evaluate the utility of our approach by conducting in-depth interviews with IT industry experts and demonstrate the contribution of our approach relative to existing techniques for technology forecasting.
format text
author Adomavicius, Gediminas
Bockstedt, Jesse C.
Gupta, Alok
KAUFFMAN, Robert J.
author_facet Adomavicius, Gediminas
Bockstedt, Jesse C.
Gupta, Alok
KAUFFMAN, Robert J.
author_sort Adomavicius, Gediminas
title Making Sense of Technology Trends in the Information Technology Landscape
title_short Making Sense of Technology Trends in the Information Technology Landscape
title_full Making Sense of Technology Trends in the Information Technology Landscape
title_fullStr Making Sense of Technology Trends in the Information Technology Landscape
title_full_unstemmed Making Sense of Technology Trends in the Information Technology Landscape
title_sort making sense of technology trends in the information technology landscape
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/2125
https://ink.library.smu.edu.sg/context/sis_research/article/3125/viewcontent/adomavicius.pdf
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