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基于BP人工神经网络的制造企业互联网战略转型风险评估研究

Research on Risk Evaluation of Internet Strategic Transformation of Manufacturing Enterprises Based on the BP Artificial Neural Network.

作者信息

Honglei Huang, Zaigham Ghulam Hussain Khan

机构信息

School of Economics and Management, Hubei Engineering University, Xiaogan, China.

Department of Management, COMSATS University, Islamabad, Pakistan.

出版信息

Front Psychol. 2022 Jul 22;13:945957. doi: 10.3389/fpsyg.2022.945957. eCollection 2022.

Abstract

For manufacturing enterprises to successfully enter the "Industry 4.0" era and establish advantages in the new wave of the Industrial Revolution, they must use Internet thinking to transform manufacturing enterprises and promote the in-depth integration of informatization and industrialization under the premise of managing and controlling risks, to achieve transformation and upgrading. Research on and management of the risks of manufacturing enterprises' Internet strategic transformation directly affects the success or failure of enterprises' transformation. This study constructed a risk evaluation model for a manufacturing enterprise's Internet strategic transformation based on the back propagation (BP) artificial neural network and conducted a case study on one enterprise.

摘要

制造企业要成功迈入“工业4.0”时代,并在新一轮工业革命中确立优势,就必须运用互联网思维改造制造企业,在管控风险的前提下,推动信息化与工业化深度融合,以实现转型升级。制造企业互联网战略转型风险的研究与管理直接关系到企业转型的成败。本研究基于反向传播(BP)人工神经网络构建了制造企业互联网战略转型风险评估模型,并对一家企业进行了案例研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f412/9355727/6f937986020d/fpsyg-13-945957-g001.jpg

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