 Forecasting support systems technologies-in-practice: A model of adoption and use for product forecastingStavros Asimakopoulos and Alan Dix International Journal of Forecasting, 2013, vol. 29, issue 2, 322-336 Abstract: This paper examines the critical factors for the effective adoption and use of forecasting support systems (FSS) in product forecasting. The adoption of FSS has proved slow and difficult, and their use ineffective. In this paper, using the technologies-in-practice model developed by Orlikowski, and based on evidence from professional designers, users and organizational documents, we found that FSS adoption and use depend on certain situational factors, such as organizational protocols, communication among stakeholders, and product knowledge availability. At the adoption level, analysis shows that FSS are mostly seen as a means of communicating the forecasts effectively, and their outputs can be used as springboard for organizational actions. The findings provide foundations for an enhanced model of adoption and use for the practical development of FSS designs and services. Keywords: Forecasting support systems; Forecasting practice; Product forecasting; Software; Adoption factors (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:29:y:2013:i:2:p:322-336 DOI: 10.1016/j.ijforecast.2012.11.004 Access Statistics for this article International Journal of Forecasting is currently edited by R. J. Hyndman More articles in International Journal of Forecasting from Elsevier |
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