Prediction and Management Research of Hi-Tech Enterprises´ Marketing Risks - An Empirical Analysis of 35 Hi-Tech Enterprises of Communication and Relevance Equipment Manufacturing Industry

Author

Yang Mei-ying ; Han Fengjin

Author_Institution

Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

This paper gives a method and finally gets twelve marketing risk assuming factors based on 35 middle-sized Communications and related equipment manufacturing enterprises by statistical methods like PCA, D-S evidence theory, and fuzzy evaluation. Then we build marketing risk assessment model by probabilistic reasoning model based on Bayes network. Also there is an example to prove the method´s feasibility and practicality through the analysis of five companies of that field.

Keywords

Bayes methods; fuzzy set theory; machinery production industries; marketing; principal component analysis; risk management; small-to-medium enterprises; uncertainty handling; Bayes network; D-S evidence theory; PCA; equipment manufacturing industry; fuzzy evaluation; hi tech enterprises marketing risk; management research; marketing risk assessment model; marketing risk assuming factor; middle sized communication; probabilistic reasoning model; related equipment manufacturing enterprise; statistical method; Analytical models; Bayesian methods; Data models; Marketing and sales; Mathematical model; Personnel;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6579-8

Type

conf

DOI

10.1109/ICMSS.2011.5998363

Filename

5998363