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Using the Learning Curve to Maximize IT Productivity: A Desicion Analysis Model for Timing Software Upgrades
School of Information Technology Management, Institute for Research on Technology Management, Ryerson University, 350 Victoria Street, Toronto, Canada.
School of Information Technology Management, Institute for Research on Technology Management, Ryerson University, 350 Victoria Street, Toronto, Canada.
School of Information Technology Management, Institute for Research on Technology Management, Ryerson University, 350 Victoria Street, Toronto, Canada.
2007 (English)In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 105, no 2, p. 524-535Article in journal (Refereed) Published
Abstract [en]

Information technology managers often feel pressure from stakeholders to continually upgrade their firm's software as soon as the software vendor releases a new version. However, this may not be ideal as the software's life cycle and the organization's learning curves are not necessarily aligned. If the firm upgrades its software too early, it may not achieve productivity gains and may lose investments from prior upgrades. If it upgrades too late, it may miss gaining important productivity gains offered by the new version. We present an approach to timing software upgrades that will maximize organization productivity gains. We use the learning curve as the theoretical basis for our mathematical model.

Place, publisher, year, edition, pages
Amsterdam, Netherlands: Elsevier, 2007. Vol. 105, no 2, p. 524-535
Keyword [en]
software upgrades, IT productivity, learning curve, IT decision models
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hh:diva-20904DOI: 10.1016/j.ijpe.2006.02.013ISI: 000243867400018Scopus ID: 2-s2.0-37849188743OAI: oai:DiVA.org:hh-20904DiVA, id: diva2:587134
Available from: 2013-01-14 Created: 2013-01-14 Last updated: 2018-03-22Bibliographically approved

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Ngwenyama, Ojelanki K.

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