A neural network approach to the operational strategic determinants of market value in high-tech oriented SMEs

Jooh Lee, He Boong Kwon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this paper is to present an adaptive performance model using backpropagation neural network (BPNN) in scrutinizing impact of strategic factors on firm performance, especially within high-tech SMEs in U.S. The novel design approach introduced in this paper segments SMEs into high and low performance groups and captures different impact patterns of strategic variables (e.g. R&D). This paper explores both explanatory and predictive capacity of a neural network and extends its application to the measurement of relative efficiency and subsequent prediction of potential improvement. This paper demonstrates effectiveness of a neural network for SME analysis and its potential advancement toward performance modeling as an adaptive decision support tool.

Original languageEnglish (US)
Title of host publicationICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016716
DOIs
StatePublished - Jul 5 2016
Event3rd International Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2016 - Jeju Island, Korea, Republic of
Duration: May 23 2016May 26 2016

Publication series

NameICIMSA 2016 - 2016 3rd International Conference on Industrial Engineering, Management Science and Applications

Other

Other3rd International Conference on Industrial Engineering, Management Science and Applications, ICIMSA 2016
Country/TerritoryKorea, Republic of
CityJeju Island
Period5/23/165/26/16

All Science Journal Classification (ASJC) codes

  • Organizational Behavior and Human Resource Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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