Forecasting Task-technology Fit: The Influence of Individuals, Systems and Procedures on Forecast Performance
International Journal of Forecasting
2010
- 23Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage23
- Abstract Views23
Article Description
This study establishes and tests a theoretically-based model of forecasting practice. Forecasting Task-Technology Fit (FTTF) addresses the relationship between forecasting support systems, the procedures that guide forecast creation, and their fit with the capabilities of the forecasting support system user. An analysis of survey responses collected from 216 forecasting practitioners confirms a positive relationship between specific forecasting support system characteristics and the system user’s perceptions of system quality and access. The results also support a positive relationship between the system user’s perceptions of the quality of, and their access to, procedures that guide forecast creation and their perceptions of system quality and access. Finally, the results confirm a positive relationship between the user’s assessment of system quality and access and a dependent variable measuring forecast performance.
Bibliographic Details
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