基于人工神经网络的塞尔维亚企业效率因素分析

R. Lukić
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引用次数: 2

摘要

本文利用人工神经网络研究了某些因素对塞尔维亚企业效率的影响。利用人工神经网络的实证研究结果显示,观察到的因素对塞尔维亚公司效率的显著性分别为:净利润55.5%,营业收入59.4%,营业资产52.8%,资本59.6%,亏损100%,员工人数51.3%。为了在未来提高塞尔维亚公司的效率,首先必须尽可能有效地管理利润(即尽可能减少损失)。这也是通过对销售、资产、资本和人力资源(培训、奖励、工作晋升和灵活就业)的最有效管理来实现的。整个业务的加速数字化无疑在其中发挥了重要作用。
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Analysis of efficiency factors of companies in Serbia based on artificial neural networks
This paper investigates the influence of certain factors on the efficiency of companies in Serbia using artificial neural networks. According to the results of empirical research using artificial neural networks, the significance of some observed factors on the efficiency of companies in Serbia is as follows: net profit 55.5%, operating revenues 59.4%, operating assets 52.8%, capital 59.6 %, loss 100% and number of employees 51.3%. In order to improve the efficiency of companies in Serbia in the future, it is necessary, in the first place, to manage profits as efficiently as possible (i.e. to reduce losses as much as possible). This is also achieved with the most efficient management of sales, assets, capital and human resources (training, rewarding, job advancement, and flexible employment). Accelerated digitalization of the entire business certainly plays a significant role in that.
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2
审稿时长
12 weeks
期刊最新文献
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