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Current Trends of Economic Modelling of Sustainable Corporate Performance and Reporting-Review and Research Agenda

机译：可持续企业绩效与报告审查和研究议程的经济趋势

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摘要

Currently there is a massive deployment of information and communication technologies in modeling of advanced quantitative methods (optimization, stochastic and dynamic programming) in economy. Also, there is a deployment of methods from the field of artificial intelligence (neural networks, genetic algorithms) in order to construct a mathematical decision model applied in the economic sphere. Accuracy of the experiment economy can be improved by including non-deterministic factors (uncertainty, uncertainty, risk). The purpose of this paper is to identify current and future directions for research of economic modelling of sustainable corporate performance and reporting, which include environmental indicators (measuring the environmental impact on resources), social indicators (health and safety, human rights, ethical behavior etc.), corporate governance indicators (related to efficiency, structure and responsibilities of the governance) and the economic value of the company, where is considered combination of Sustainable Value Added, Economic Value Added and Data Envelopment Analysis methods. The solution is to analyze the possibilities of the method of artificial intelligence, when you build a descriptive model of a decision support system, aimed at simplifying the decision process.
机译：目前，在经济高级定量方法（优化，随机和动态规划）的建模中，大规模部署了信息和通信技术。而且，存在来自人工智能（神经网络，遗传算法）领域的方法，以构建在经济领域应用的数学决策模型。通过包括非确定性因素（不确定性，不确定性，风险），可以提高实验经济的准确性。本文的目的是确定可持续企业绩效和报告经济建模研究的当前和未来方向，包括环境指标（衡量对资源的环境影响），社会指标（健康和安全，人权，道德行为等。），公司治理指标（与治理的效率，结构和责任有关）和本公司的经济价值，在此处被认为是可持续增值的结合，经济增值和数据包络分析方法。解决方案是分析人工智能方法的可能性，当您构建决策支持系统的描述模型时，旨在简化决策过程。

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