Current trends of corporate performance evaluation, i.e. the measurement of environmental, social, economic and governance performance of company and corporate sustainable reporting are discussed in the paper. The relationship between company performance and reporting its key performance indicators is important, therefore, the development of modern and advanced methods and metrics to identify these indicators mainly based on the quantification with the possibility of utilization of information and communication technology are discussed.

The research project: “Construction of Methods for Multi-factorial Assessment of Company Complex Performance in Selected Sectors”, solved by author team, is introduced. Current trends of corporate performance evaluation (i.e. measurement of environmental, social, economic and governance (ESG) performance) and corporate sustainable reporting are discussed in the paper focused to agriculture and food processing sector. The relationship between environmental and sustainability indicators and corporate sustainability reporting is an important issue; and the development of advanced methods to identify key performance indicators for ESG performance is discussed here along with the possibility of the utilization of information and communication technology and XBRL taxonomy evaluating applications for the creation of business performance.

This paper presents a methodology for assessing and improving the quality of information provided by corporate wikis. Regarding the assessment, we present two KPIs for measuring relative demand and relative usefulness of wiki articles, including corresponding processes and data model. In regard to improving quality, we use the KPIs to classify the articles. For this classification, we introduce four categories and discuss possible actions for reducing information overload and increasing the visibility of articles. To prove our methodology, we analyze an existing corporate wiki of a large European enterprise in the chemical industry. Its articles are used to demonstrate how the proposed KPIs can contribute to knowledge management by improving the information quality.

Today, companies are handling increasing amounts of transactional data. This phenomenon commonly named as "Big Data", has transformed from a vague description of massive corporate data to a household term that refers to not just volume but the diversity of data and velocity of change. Commonly used approach leads to usage of Business Intelligence (BI) technologies used not only to environmental reporting purposes, but also used for a data discovery discipline. The critical issue in general data processing tasks is to get the right information quickly, near to real time, targeted, and eff ectively. This article aims on several critical points of the whole concept of BI environmental reporting powered by XBRL. First, and most important, is the usage of structured data delivered via XBRL. The main profi t on usage of XBRL is the optimization of the ETL process and its combination commonly used best practices on data warehouse models. The whole BI workfl ow could be moved further by additional data quality health checks, extended mathematical and logical data test, basics of data discovery and drill-down techniques. First part of the article review the state of the art on the XBRL level and also review current trends in environmental reporting. We also analyse the basics of Business Intelligence regarding to the application domain on environmental reporting. The methodology refl ects today's technical standards of XBRL accordingly to the application via ETL process. In results we describe concept for standardized data warehouse model for the environmental reporting based on the specifi c XBRL taxonomy and known dimensions. In discussion we explain our next approach and all the pros and cons of the selected approach.

For having retrospection for all over the data which are used, analyzed, evaluated and for a future incident predictions are used Management Information Systems and Business Intelligence. In case of not to be able to apply standard methods of data processing there can be with benefit applied an Artificial Intelligence. In this article will be referred to proofed abilities of Neural Networks. The Neural Networks is supported by many software products related to provide effective solution of manager issues. Those products are given as primary support for manager issues solving. We were tried to find reciprocally between products using Neural Networks and between Management Information Systems for finding a real possibility of applying Neural Networks as a direct part of Management Information Systems (MIS). In the article are presented possibilities to apply Neural Networks on different types of tasks in MIS.