Forecasting MBT Technologies Using DEA and LR
Published In
Technology Analysis and Strategic Management
Document Type
Citation
Publication Date
1-1-2017
Abstract
First, this paper explores Main Battle Tank (MBT) data set with different statistical methods in order to decide the most appropriate variables as reliable yardsticks in applying technology forecasting (TF) using data envelopment analysis (TFDEA) technique. It then applies TF using DEA method to forecast MBT technologies. This article attempts to predict technology development year of MBT commercialised from 1941 to 1994. This article presents the processes of TFDEA in detail and identifies some issues to search for appropriate input and output variables to forecast MBT technologies. The purpose of this study is to address some issues and identify an appropriate data to predict future trends of MBT technologies when using TFDEA and multiple linear regression tools. Finally, the study provides an understanding of the technological advances being sought in MBT technologies and information for use in making decisions regarding development strategy. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
Locate the Document
DOI
10.1080/09537325.2016.1213384
Persistent Identifier
http://archives.pdx.edu/ds/psu/20766
Citation Details
Cho, Y., & Anderson, T. R. (2017). Forecasting MBT technologies using DEA and LR. Technology Analysis & Strategic Management, 29(4), 353-369.