Current Trends of Economic Modelling of Sustainable Corporate Performance and Reporting – Review and Research Agenda
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Periodical |
| Magazine / Source | Procedia Economics and Finance |
| MU Faculty or unit | |
| Citation | |
| web | http://www.sciencedirect.com/science/article/pii/S2212567114003402 |
| Doi | http://dx.doi.org/10.1016/S2212-5671(14)00340-2 |
| Field | Management and administrative |
| Keywords | corporate performance; key performance indicators; sustainability; economic modelling; EVA; SVA; DEA |
| Description | 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. |
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