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Forecasting task-technology fit: The influence of individuals, systems and procedures on forecast performance

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  • Smith, Carlo D.
  • Mentzer, John T.
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    Abstract

    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.

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    File URL: http://www.sciencedirect.com/science/article/B6V92-4WY5BC7-1/2/dbba36d263235568298db1901920cabd
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    Bibliographic Info

    Article provided by Elsevier in its journal International Journal of Forecasting.

    Volume (Year): 26 (2010)
    Issue (Month): 1 (January)
    Pages: 144-161

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    Handle: RePEc:eee:intfor:v:26:y::i:1:p:144-161

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    Web page: http://www.elsevier.com/locate/ijforecast

    Related research

    Keywords: Forecasting support systems Forecasting management Sales forecasting Task technology fit Forecasting practice;

    References

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    1. Winklhofer, Heidi & Diamantopoulos, Adamantios & Witt, Stephen F., 1996. "Forecasting practice: A review of the empirical literature and an agenda for future research," International Journal of Forecasting, Elsevier, vol. 12(2), pages 193-221, June.
    2. Webby, Richard & O'Connor, Marcus & Edmundson, Bob, 2005. "Forecasting support systems for the incorporation of event information: An empirical investigation," International Journal of Forecasting, Elsevier, vol. 21(3), pages 411-423.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Makridakis, Spyros, 1996. "Forecasting: its role and value for planning and strategy," International Journal of Forecasting, Elsevier, vol. 12(4), pages 513-537, December.
    5. Dale L. Goodhue, 1995. "Understanding User Evaluations of Information Systems," Management Science, INFORMS, vol. 41(12), pages 1827-1844, December.
    6. Schultz, Randall L., 1992. "Fundamental aspects of forecasting in organizations," International Journal of Forecasting, Elsevier, vol. 7(4), pages 409-411, March.
    7. Scott Armstrong, J., 1988. "Research needs in forecasting," International Journal of Forecasting, Elsevier, vol. 4(3), pages 449-465.
    8. Fildes, Robert, 2006. "The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion," International Journal of Forecasting, Elsevier, vol. 22(3), pages 415-432.
    9. Goodwin, Paul & Fildes, Robert & Lawrence, Michael & Nikolopoulos, Konstantinos, 2007. "The process of using a forecasting support system," International Journal of Forecasting, Elsevier, vol. 23(3), pages 391-404.
    10. Davis, Donna F. & Mentzer, John T., 2007. "Organizational factors in sales forecasting management," International Journal of Forecasting, Elsevier, vol. 23(3), pages 475-495.
    11. Winklhofer, Heidi & Diamantopoulos, Adamantios, 2003. "A model of export sales forecasting behavior and performance: development and testing," International Journal of Forecasting, Elsevier, vol. 19(2), pages 271-285.
    12. Moon, Mark A. & Mentzer, John T. & Smith, Carlo D., 2003. "Conducting a sales forecasting audit," International Journal of Forecasting, Elsevier, vol. 19(1), pages 5-25.
    13. Makridakis, Spyros, 1996. "Reply to comments on "Forecasting: its role and value for planning and strategy"," International Journal of Forecasting, Elsevier, vol. 12(4), pages 555-557, December.
    14. Donna F. Davis & John T. Mentzer & Teresa M. Mccarthy & Susan L. Golicic, 2006. "The evolution of sales forecasting management: a 20-year longitudinal study of forecasting practices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(5), pages 303-324.
    15. Mentzer, John T. & Bienstock, Carol C. & Kahn, Kenneth B., 1999. "Benchmarking sales forecasting management," Business Horizons, Elsevier, vol. 42(3), pages 48-56.
    16. Lawrence, Michael, 2000. "What does it take to achieve adoption in sales forecasting?," International Journal of Forecasting, Elsevier, vol. 16(2), pages 147-148.
    17. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer, vol. 16(3), pages 297-334, September.
    18. Kusters, Ulrich & McCullough, B.D. & Bell, Michael, 2006. "Forecasting software: Past, present and future," International Journal of Forecasting, Elsevier, vol. 22(3), pages 599-615.
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    Cited by:
    1. Asimakopoulos, Stavros & Dix, Alan, 2013. "Forecasting support systems technologies-in-practice: A model of adoption and use for product forecasting," International Journal of Forecasting, Elsevier, vol. 29(2), pages 322-336.

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