To read this content please select one of the options below:

Forecasting airplane technologies

Ann‐Marie Lamb (PhD Student, in the Department of Engineering and Technology Management, Portland State University, Portland, Oregon, USA)
Tugrul U. Daim (Professor, in the Department of Engineering and Technology Management, Portland State University, Portland, Oregon, USA)
Timothy R. Anderson (Associate Professor, in the Department of Engineering and Technology Management, Portland State University, Portland, Oregon, USA)

Foresight

ISSN: 1463-6689

Article publication date: 17 October 2010

2891

Abstract

Purpose

Airplane technology is undergoing several exciting developments, particularly in avionics, material composites, and design tool capabilities, and, though there are many studies conducted on subsets of airplane technology, market, and economic parameters, few exist in forecasting new commercial aircraft model introduction. In fact, existing research indicates the difficulty in quantitatively forecasting commercial airplanes due in part to the complexity and quantity of exogenous factors which feed into commercial airplane introduction decisions. This paper seeks to address this gap.

Design/methodology/approach

The analysis is based on a literature review, supplemented by a collection of secondary data. The study then focuses on applying three technology forecasting techniques: multiple regression; linear regression; and the Pearl growth curve.

Findings

The results provide a valid model for multiple regression and linear regression on range and composite material percentage for use in commercial airplane forecasting. However, growth curve analysis, comparatively, appears to provide the most intriguing and flexible forecast outlook in alignment with industry dynamics.

Research limitations/implications

Research implications include a caution for forecasters in support of the difficulty of commercial aircraft forecasting due in part to the quantity of exogenous factors, particularly compared with a related industry, military aircraft. Future work could include: utilizing other forecasting techniques that allow for greater numbers of forecast factors, additional future models, additional range aircraft and/or analyzing the impact that competing transportation modes in mid‐range aircraft could have on long‐range aircraft introduction.

Originality/value

The study provides value in extending a previous descriptive paper on airplane parameters. Additionally, it appears to be one of the first quantitative examples supporting previous research indicating the complexity of forecasting airplane new product introduction, but it overcomes some of this complexity by providing a valid model for forecasting with range and composite material percentage as inputs.

Keywords

Citation

Lamb, A., Daim, T.U. and Anderson, T.R. (2010), "Forecasting airplane technologies", Foresight, Vol. 12 No. 6, pp. 38-54. https://doi.org/10.1108/14636681011089970

Publisher

:

Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

Related articles