A FRAMEWORK FOR MANAGING THE FORECASTING PROCESS

Technological innovation is used by many companies as a means of sustaining their competitive advantage. The environments in which this innovation occurs is usually uncertain, therefore, many companies perform technological forecasting in association with their technological innovation processes. While many researchers have studied the innovation process and many more forecasting methods, there is little research connecting the two within the strategic context of the firm. To do this, a model of the forecasting process is needed. The purpose of this paper is to present a model based on a literature review. Previous models which formed the basis for the proposed model will be discussed followed by an explanation of the model and conclusion. Finally, a case study is presented to observe and test the proposed model.

[1]  R. Duncan.  Mltiple Decision-making Structures in Adapting to Environmental Uncertainty: The Impact on Organizational Effectiveness , 1973 .

[2]  Bernard J. Jaworski,et al.  Market orientation: Antecedents and consequences , 1993 .

[3]  John T. Mentzer,et al.  Forecasting Technique Familiarity, Satisfaction, Usage, and Application , 1995 .

[4]  E. Brunswik.  Perception and the Representative Design of Psychological Experiments , 1957 .

[5]  Brian Sager,et al.  Scenarios on the future of biotechnology , 2001 .

[6]  C. Holmes,et al.  The application of Operation and Technology Roadmapping to aid Singaporean SMEs identify and select emerging technologies , 2005 .

[7]  Nigel Harvey,et al.  Why Are Judgments Less Consistent in Less Predictable Task Situations , 1995 .

[8]  Peter A. Shulman,et al.  Analysis of US Energy Scenarios , 2003 .

[9]  J. Scott Armstrong,et al.  Principles of forecasting : a handbook for researchers and practitioners , 2001 .

[10]  William Remus,et al.  Does updating judgmental forecasts improve forecast accuracy , 2000 .

[11]  J. Armstrong,et al.  Forecasting Methods for Marketing: Review of Empirical Research , 1987 .

[12]  A. Goldberger,et al.  Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable , 1975 .

[13]  J. Slocum,et al.  Individual Characteristics as Sources of Perceived Uncertainty Variability , 1977 .

[14]  S. Cunningham,et al.  Technology futures analysis: Toward integration of the field and new methods , 2004 .

[15]  W. Souder,et al.  An information transfer model for integrating marketing and R&D Personnel in new product development projects , 1990 .

[16]  Henry L. Tosi,et al.  On the Measurement of the Environment: An Assessment of the Lawrence and Lorsch Environmental Uncertainty Subscale , 1973 .

[17]  R. Duncan.  Characteristics of Organizational Environments and Perceived Environmental Uncertainty. , 1972 .

[18]  Nada R. Sanders,et al.  The efficacy of using judgmental versus quantitative forecasting methods in practice , 2003 .

[19]  John Rohrbaugh,et al.  Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting , 1998 .

[20]  James J. Winebrake,et al.  The future of hydrogen fueling systems for transportation: An application of perspective-based scenario analysis using the analytic hierarchy process , 2003 .

[21]  Martin Rinne,et al.  Technology roadmaps: Infrastructure for innovation , 2004 .

[22]  George Wright,et al.  The impact of task characteristics on the performance of structured group forecasting techniques , 1996 .

[23]  William Remus,et al.  The impact of information of unknown correctness on the judgmental forecasting process , 1998 .

[24]  Adamantios Diamantopoulos,et al.  Managerial evaluation of sales forecasting effectiveness: A MIMIC modeling approach , 2002 .

[25]  E. Deschamps.  The impact of institutional change on forecast accuracy: A case study of budget forecasting in Washington State , 2004 .

[26]  William Remus,et al.  Does reliable information improve the accuracy of judgmental forecasts , 1995 .

[27]  George Wright,et al.  The Delphi technique as a forecasting tool: issues and analysis , 1999 .

[28]  J. Scott Armstrong,et al.  Principles of forecasting , 2001 .

[29]  J. Slocum,et al.  Environmental Uncertainty: The Construct and Its Application , 1975 .

[30]  David Wilemon,et al.  The Credibility–Cooperation Connection at the R&D‐Marketing Interface , 1988 .

[31]  Adamantios Diamantopoulos,et al.  A model of export sales forecasting behavior and performance: development and testing , 2003 .

[32]  G. Finnveden,et al.  Scenario types and techniques: Towards a user's guide , 2006 .

[33]  Fergus Bolger,et al.  Provider-user differences in perceived usefulness of forecasting formats , 2004 .

[34]  Joseph P. Martino,et al.  A review of selected recent advances in technological forecasting , 2003 .

[35]  John T. Mentzer,et al.  The Impact of Team-Based Forecasting , 1994 .

[36]  Thomas A. Kappel,et al.  Perspectives on roadmaps: how organizations talk about the future , 2001 .

[37]  Adamantios Diamantopoulos,et al.  Forecasting practice: A review of the empirical literature and an agenda for future research , 1996 .