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Further development of automated methods for predicting risks and expert searching of weakly structured processes
Purpose – Companies are adopting new methods of analysis of business processes to maintain an adequate level of control and transparency. If the process is subject to constant changes and becomes too complicated, there is a need to move from a linear to its non-linear processing. Lack of process structure is a source of increasing entropy. The
statistical methods of technological processes based on delayed performance management are not as useful, considering key performance indicators (KPIs) vary from one process instance to another, and their target values cannot be clearly defined. This means that the ‘thumbs-up’ cannot be applied to weakly-structured process, and requires a new approach to execute dynamic models considering non-linear factors.
Design/methodology/approach – The implementation of the tasks was achieved by conducting field research, literature analysis and creating automated decisions based on the findings.
Originality/value – The proposed solution for the management and improve the efficiency of knowledge intensive processes. To implement pre-hold processing texts presented algorithm, namely the description of the problem and all attached text document. This will extract the tacit knowledge (unstructured), hidden in the daily correspondence, informal communication. The email can be taken as the source. To do this consistently performed a morphological analysis and syntactic analysis of the text to bring the terms to the normal form. Based on this, we analyse the potential operational risks and the search for experts for the creation of the expert community. Thus, the process can be controlled by some internal/external experts of virtual teams (whose location is not important), that are essentially a community of practice. Coordination responsibility lies with the owner of the process.
Practical implications – The paper described in detail the results of field research, as well as show the system architecture that supports semi-structured process management. The following tasks have been solved: 1) researched features of poorly structured process management in various companies and technological challenges faced by the company; 2) examined the hypothesis that the process risks can be identified and addressed through
changes in the information field indicators process (unstructured information on the process); 3) implemented expert search service and prediction of potential operational risks. Using the developed system allows increasing the efficiency and transparency of processes and expert community.
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