Modeling corporate entrepreneurship success with ANFIS

被引：0
作者：
Reza Kiani Mavi
Neda Kiani Mavi
Mark Goh
机构：
[1] Qazvin Branch,Department of Industrial Management
[2] Islamic Azad University (IAU),Department of Physical Education and Sport Science
[3] Qazvin Branch,Department of Logistics and Supply Chain Management, School of Business IT and Logistics
[4] Islamic Azad University (IAU),undefined
[5] RMIT University,undefined
来源：
Operational Research | 2017年 / 17卷
关键词：
Adaptive neuro-fuzzy inference system (ANFIS); Corporate entrepreneurship; Motivations; Barriers; Conceptual model; Industrial organization; 68U35;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Albeit the application of Adaptive Neuro-Fuzzy Inference System (ANFIS) in many real world problems, it is not used in the entrepreneurship studies. The aim of this paper is to develop an ANFIS model to forecasting corporate entrepreneurship (CE) success at industrial organizations. A conceptual model consisting critical success factors (motivations) and critical failure factors (barriers) of CE success is proposed. 11 experts (academic and industrial) validated the CE success and failure factors with the help of ANFIS rules. 464 MBA graduates who are working at industrial organizations have participated in this research. For the sake of ANFIS, data was divided into two groups (training and checking). Findings reveal that ANFIS testing error with training data is 0.057103 and ANFIS testing error with checking data is 0.03342. So that, the developed fuzzy inference system has the best applicability and predictability for CE success.
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页码：213 / 238
页数：25
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