Title: Risk prediction of information leakage in new product development stage based on data driven model

Authors: Yang Wang

Addresses: Business School, Huanggang Normal University, Huanggang 438000, China

Abstract: In order to overcome the problem of low prediction accuracy of current information disclosure risk prediction methods, this paper proposes a new risk prediction method for information leakage based on data-driven model. Based on the data-driven model, the new product development implementation process model is established. The generation and transmission characteristics of information in the new product development stage are analysed. The relationship between the information owner and the information thief is analysed by using the game model. According to the analysis results, the information leakage risk evaluation index system is constructed, and the comprehensive fuzzy evaluation method is used to solve the information leakage. According to the evaluation results, the information leakage risk is predicted. The experimental results show that the index significance coefficient of the proposed method is high, the critical ratio value can be controlled within 2, and the prediction accuracy is high.

Keywords: data driven model; new product development; information leakage; game model; risk prediction.

DOI: 10.1504/IJPD.2021.116149

International Journal of Product Development, 2021 Vol.25 No.2, pp.114 - 129

Received: 19 Nov 2020
Accepted: 14 Mar 2021
Published online: 12 Jul 2021 *

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