Identification of the context elements of knowledge-intensive business processes based on the log analysis

Authors

DOI:

https://doi.org/10.15587/2312-8372.2016.80989

Keywords:

knowledge-intensive business process, intelligent process analysis, process control

Abstract

Knowledge-intensive business processes are studied. They are characterized by the direct influence of performer’s knowledge on the sequence of process execution. Performers use formalized personal knowledge for correcting of the process. Therefore, to increase the control effectiveness of knowledge-intensive business processes it is necessary to formalize the performer’s knowledge and include them in the process model. Relationship between the context elements and process actions is shown based on the analysis of business processes logs. Context elements are displayed in the log using the event attribute values, and that leads to the ability to highlight the links between the context and process. The method for extraction of context elements of knowledge-intensive business processes is proposed based on the log analysis. The method allows to identify context elements, change the values of which are associated with process activities. The method creates the conditions for increasing the efficiency of process control by inclusion of dependencies, which identified by analyzing the context elements, in the process model.

Author Biographies

Виктор Макарович Левыкин, Kharkiv National University of Radio Electronics, Nauka ave., 16, Kharkiv, Ukraine, 61166

Doctor of Technical Sciences, Professor

Department of Information Control Systems

Оксана Викторовна Чалая, Kharkiv National University of Radio Electronics, Nauka ave., 16, Kharkiv, Ukraine, 61166

Candidate of Economic Sciences, Associate Professor

Department of Information Control Systems

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Published

2016-09-29

How to Cite

Левыкин, В. М., & Чалая, О. В. (2016). Identification of the context elements of knowledge-intensive business processes based on the log analysis. Technology Audit and Production Reserves, 5(2(31), 65–71. https://doi.org/10.15587/2312-8372.2016.80989

Issue

Vol. 5 No. 2(31) (2016): Systems and control processes. Information and control systems. Technology Transfer in the Transport Industry

Section

Information Technologies: Original Research

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Copyright (c) 2016 Виктор Макарович Левыкин, Оксана Викторовна Чалая

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