A solvable one-dimensional model of a diffusion inventory system
Mathematics of Operations Research
Uncertainty, competition, and the adoption of new technology
Management Science
Evaluation of strategic investments in information technology
Communications of the ACM
Justifying investments in new information technologies
Journal of Management Information Systems
Strategic management of information technology investments: an options perspective
Strategic information technology management
Information rules: a strategic guide to the network economy
Information rules: a strategic guide to the network economy
A Punctuated-Equilibrium Model of Technology Diffusion
Management Science
A Case for Using Real Options Pricing Analysis to Evaluate Information Technology Project Investment
Information Systems Research
Opening the "Black Box" of Network Externalities in Network Adoption
Information Systems Research
A note on project risk and option values of investments in information technologies
Journal of Management Information Systems
Decision support systems unfrastructure: The root problems of the management of changing IT
Decision Support Systems
Diffusion dynamics of open source software: An agent-based computational economics (ACE) approach
Decision Support Systems
Decision Support Systems
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In an environment of continuous change, organizations are faced with the challenge of deciding when to invest in information technology upgrades. While investing frequently is costly and at times risky, waiting too long can lead to lost competitiveness. Further, investing at a given time can preclude a firm from taking advantage of better technologies in the future. In the context of software upgrades, this study proposes and illustrates a decision support model to determine the optimal timing and choice of upgrades. Analysis confirms that even if continuous upgrading is feasible, it is not an optimal strategy when adoption costs are significant. Simulations show that investments in upgrades are best made when the gap between new technology and current: technology reaches a critical threshold. Among other factors, this threshold is influenced by technology cost, change management cost and opportunity cost.