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- W1567906564 abstract "The Wharton School University of Pennsylvania Philadelphia, PA 19104 Research over two decades has advanced the knowledge of how to assess predictive validity. We believe this has value to information systems (IS) researchers. To demonstrate, we used a widely cited study of IS spending. In that study, price-adjusted diffusion models were proposed to explain and to forecast aggregate U.S. information systems spending. That study concluded that such models would produce more accurate forecasts than would simple linear trend extrapolation. However, one can argue that the validation procedure provided an advantage to the diffusion models. We reexamined the results using an alternative validation procedure based on three principles extracted from forecasting research: (1) use" @default.
- W1567906564 created "2016-06-24" @default.
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- W1567906564 date "1994-01-01" @default.
- W1567906564 modified "2023-09-27" @default.
- W1567906564 title "Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts" @default.
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