Forecasting support systems technologies-in-practice: A model of adoption and use for product forecasting

被引:14
|
作者
Asimakopoulos, Stavros [1 ]
Dix, Alan [2 ]
机构
[1] Univ Lancaster, Sch Management, Dept Management Sci, Lancaster LA1 4YX, England
[2] Univ Birmingham, HCI Ctr, Sch Comp Sci, Birmingham B15 2TT, W Midlands, England
关键词
Forecasting support systems; Forecasting practice; Product forecasting; Software; Adoption factors; INFORMATION-TECHNOLOGY; SOFTWARE;
D O I
10.1016/j.ijforecast.2012.11.004
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2012 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:322 / 336
页数:15
相关论文
共 50 条
  • [31] NEW MODELS FROM OLD - FORECASTING PRODUCT ADOPTION BY HIERARCHICAL BAYES PROCEDURES
    LENK, PJ
    RAO, AG
    MARKETING SCIENCE, 1990, 9 (01) : 42 - 53
  • [32] Forecasting in South African pelagic fisheries management:: The use of expert and decision support systems
    Korrûbel, JL
    Bloomer, SF
    Cochrane, KL
    Hutchings, L
    Field, JG
    SOUTH AFRICAN JOURNAL OF MARINE SCIENCE-SUID-AFRIKAANSE TYDSKRIF VIR SEEWETENSKAP, 1998, 19 : 415 - 423
  • [33] Providing support for the use of analogies in demand forecasting tasks
    Lee, Wing Yee
    Goodwin, Paul
    Fildes, Robert
    Nikolopoulos, Konstantinos
    Lawrence, Michael
    INTERNATIONAL JOURNAL OF FORECASTING, 2007, 23 (03) : 377 - 390
  • [34] A dynamic changepoint model for new product sales forecasting
    Fader, PS
    Hardie, BGS
    Huang, CY
    MARKETING SCIENCE, 2004, 23 (01) : 50 - 65
  • [35] Hybrid grey model for Taiwan electronic product forecasting
    Wong, Hsien-Lun
    Tang, Wei-Hung
    INNOVATION, COMMUNICATION AND ENGINEERING, 2014, : 313 - 316
  • [36] THE USE OF FUZZY SYSTEMS FOR FORECASTING THE HARDENABILITY OF STEEL
    Sitek, W.
    Irla, A.
    ARCHIVES OF METALLURGY AND MATERIALS, 2016, 61 (02) : 797 - 802
  • [37] A best practice guide to resource forecasting for computing systems
    Hoffmann, Guenther A.
    Trivedi, Kishor S.
    Malek, Miroslaw
    IEEE TRANSACTIONS ON RELIABILITY, 2007, 56 (04) : 615 - 628
  • [38] Forecasting the Adoption of Emerging Energy Technologies: Managing Climate Change and Evolving Social Values
    Cowan, Kelly R.
    Daim, Tugrul
    Wakeland, Wayne
    Fallah, Hosein
    Sheble, Gerald
    Lutzenhiser, Loren
    Ingle, Aaron
    Hammond, Robert
    Nguyen, Matthew
    PROCEEDINGS OF PICMET 09 - TECHNOLOGY MANAGEMENT IN THE AGE OF FUNDAMENTAL CHANGE, VOLS 1-5, 2009, : 2964 - +
  • [39] Forecasting product design time based on fuzzy support vector machine
    Shang, Zhi-Gen
    Yan, Hong-Sen
    Kongzhi yu Juece/Control and Decision, 2012, 27 (04): : 531 - 534
  • [40] Land-use forecasting and hydrologic model integration for improved land-use decision support
    McColl, Chris
    Aggett, Graeme
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2007, 84 (04) : 494 - 512