| Summary: | Introduction. The modern economy is characterized not only by processes of increasing globalization and competition in markets, mobility and internationalization of resources, rapid development of innovative information technologies, but also by rapid spread of crisis phenomena in the middle and between economies – all these factors put forward new requirements for effective corporate governance.
Purpose. Thus, for the sake of stability, not only in the current global market competition, but especially in the context of macroeconomic crisis phenomena, all efficient companies (including logistic) should be able to adapt quickly and efficiently to changes, that is, they must be systemically adaptive.
Results. Taking into account the above-mentioned relevance and results of previous researches of the authors, the methodology of innovative reorganization of the logistic company (LC) was developed through its reengineering within the framework of the implementation of anti-crisis management policy.
It should be noted that an appropriate adequate and effective information system is an integral part of any management system. Therefore, without a relevant, effective and adaptive logistic information system (LIS), management of any logistic company (LC) is difficult to optimally and operatively perform complex management even in normal market, non-crisis conditions. Consequently, the actual purpose of designing a new and / or reengineering existing LIS is to improve the efficiency of functioning of the logistic processes of the enterprise, optimization of all its business processes, taking into account global and sectoral, ordinary and crisis influences.
In the article, considering the industry specificity of the transport industry, the system problems of existing classical logistic systems are investigated and revealed, taking into account the following global trends for 3PL companies: mergers and acquisitions, Big Data problems, the importance of introducing Data Mining technologies for anti-crisis Fraud Detection, the relevance of corporate Knowledge Management technologies.
Taking into account the above-mentioned results and considering the results of the previous author’s research – the comprehensive cross-cutting method of anti-crisis reengineering of forest in crisis macroeconomic phenomena has been developed.
Considering the substantiated (in previous studies of the authors) the relevance and positive effect of the joint, hybrid-script use of Big Data, Data Mining and Knowledge Management technologies, the algorithm of an adaptive knowledge based LIS with the planning and ranking of relevant information flows and management impacts has been developed.
Conclusions. The obtained results are relevant and applicable not only for local logistic companies, but also for international applications in the context of projected global macroeconomic and current national crisis phenomena.
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