Major Features, Benefits, and Prerequisites for Intelligent Enterprise Managing System


Management system
Automation paradigm
Intelligent system

How to Cite

Olefirenko, A., & Galuschenko, A. (2018). Major Features, Benefits, and Prerequisites for Intelligent Enterprise Managing System. Research in Social Sciences and Technology, 3(3), 68-91. Retrieved from


The modern conditions of high-tech and highly competitive markets require the evolution of the enterprise automation systems. Such new, the post-ERP systems should meet the conditions for the provision of customer self-service and other counterparts, the dramatic decrease of the manual labour through automation, robotic application, integration with other systems and external contracting systems, multi-channel marketing and distribution, reduction of supply chains and other current trends. These systems should be built on the new IEM Automation Paradigm (Intelligent Enterprise Managing) and therefore belong to the IEM system class. As stated in the IEM paradigm article, a modern approach to solving the task of automation is based on the application of "best" solutions for each separate entity or business unit. In practice, however, this approach has resulted in a series of significant problems. The scale of the problems is increasing with the growth in transactional load, competitive pressures on the market, requirements for accelerate optimization, and business processes changes.


Anokhin, P.K. (1935). The problems of the centre and the periphery in the physiology of neural activity. Nizhny Novgorod: Nizhny Novgorod State Medical Academy.

Anokhin, P.K. (1955). Features of the afferent apparatus of the conditioned reflex and their importance for psychology, Psychology issues, 6, 16-38.

Anokhin, P.K. (1978). Philosophical aspects of functional system theory: selected works. Moscow: Science.

Anokhin, P.K. (1998). Selected Works. Cybernetics of functional systems. Moscow: Medicine.

Chinakal, V.O. (2008). Intelligent systems and technologies. Moscow: The Peoples' Friendship University of Russia.

Kılınç, E., Tarman, B., & Aydın, H. (2018). Examining Turkish social studies teachers’ beliefs about barriers for technology integration.Techtrends, 62(3), 221-223.

Ostroukh, A.V. (2015). Intelligent Systems. Krasnoyarsk: Science and Innovation Facility.

Pavlov, I.P. (1949). Lectures on the Work of the Cerebral Hemispheres. Selected works. Moscow: The USSR Academy of Sciences Publishing House.

Pupkov, K.A. & Konkov, V.G. (2001). Intelligent Systems (Research and creation). Moscow: Bauman Moscow State Technical University.

Ritter, N., Kılınç, E., Navruz, B., &Bae, Y. (2011). Test review: Test of nonverbal intelligence-4 (TONI-4). Journal of Psychoeducational Assessment, 29(5), 484-488.

Tarman, B. (2017). Editorial: The future of social sciences. Research in Social Sciences and Technology, 2(2), 1-6. Retrieved from

Tarman, B. (2016). Innovation and education. Research in Social Sciences and Technology, 1(1), 77-97. Retrieved from

Tarman, B., Baytak, A. & Duman, H. (2015). Teachers’ views on an ICT reform in education for social justice. Eurasia Journal of Mathematics Science and Technology Education, 11(4), 487-496.

Tarman, B., Baytak, A. (2011). The new role of technology in education: Social studies teacher candidates’ perceptions, Gaziantep University Journal of Social Sciences, 10(2),891-908.

Tarman, B. & Chigisheva, O . (2017). Editorial for Special Issue: Transformation of Educational Policy, Theory and Practice in Post-Soviet Social Studies Education. Journal of Social Studies Education Research, 8 (2), i-iv. Retrieved from

Tarman, B. (2010) Global Perspectives and Challenges on Teacher Education in Turkey, International Journal of Arts & Sciences (IJAS), 3(17): 78-96, United States.

The USSR State Committee on Public Education "Comprehensive scientific, research-and-technology and educational programs and projects of the Public education of the USSR 1989-1994 years". (1991). Moscow: Public education of the USSR.