+7 495 989 9610, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»

JOURNALS

  

FOR AUTHORS

  

SUBSCRIBE

    
Finance and Credit
 

Abstracting and Indexing

РИНЦ
Referativny Zhurnal VINITI RAS
Worldcat
LCCN Permalink
Google Scholar

Online available

EBSCOhost
Eastview
Elibrary
Biblioclub

Archiving

Cyberleninka (24 month OA embargo)

Business process re-engineering based on artificial intelligence management

Vol. 25, Iss. 12, DECEMBER 2019

Received: 25 November 2019

Received in revised form: 5 December 2019

Accepted: 19 December 2019

Available online: 25 December 2019

Subject Heading: BUSINESS VALUE

JEL Classification: А12, А23, О32, R41, R47

Pages: 2889–2902

https://doi.org/10.24891/fc.25.12.2889

Kutelev P.V. Rostov State University of Economics (RSUE), Rostov-on-Don, Russian Federation
kutelevne@bk.ru

https://orcid.org/0000-0001-5118-2076

Subject This article explores the working methodology that defines the function principle and properties of an automated business process management system to further integrate artificial intelligence into its information environment.
Objectives The article aims to develop conceptual approaches and methods to solve the problems of automating organizational structure management systems using artificial intelligence.
Methods To justify the theoretical generalizations and reason the conclusions, I used the methods of structural-functional comparison, situational analysis and synthesis, economic diagnosis and monitoring, as well as particular methodological tools of modeling economic phenomena and empirical factual information.
Results The article presents an original version of the automated business process management model in the context of the subsequent management of artificial intelligence.
Conclusions A methodology based on human motivation management and unlocking the full potential of people's intellectual resource should be used at the heart of technologies that unlock the multifaceted capabilities of artificial intelligence. The effectiveness of this methodology and the business process management system implemented on its basis is largely determined by the goals and scope of implementation. The highest value is achieved at large enterprises with the largest number of business processes, since this is the category of economic entities that need a radical revision of the basic principles of their functioning, control, and adoption of operative and strategic decisions.

Keywords: artificial intelligence, business process re-engineering

References:

  1. Hammer M., Champy J. Reinzhiniring korporatsii: manifest revolyutsii v biznese [Reengineering the Corporation: A Manifesto for Business Revolution]. Moscow, Mann, Ivanov i Ferber Publ., 2011, 288 p.
  2. Burdett J.O. TQM and Re-Engineering: The Battle for the Organization of Tomorrow. The TQM Magazine, 1995, vol. 6, no. 2, pp. 7–13.
  3. Biazzo S. A Critical Examination of the Business Process Re-Engineering Phenomenon. International Journal of Operations & Production Management, 1998, vol. 18, no. 9/10, pp. 1000–1016. URL: Link
  4. Hill F.M., Collins L.K. The Positioning of BPR and TQM in Long-Term Organisational Change Strategies. The TQM Magazine, 1998, vol. 10, no. 6, pp. 438–446. URL: Link
  5. Drobyshevskaya L.N., Bekirova S.Z. [Theoretical and methodological aspects of business processes reengineering at the enterprise]. Ekonomika: teoriya i praktika = Economics: Theory and Practice, 2015, no. 2, pp. 63–68. (In Russ.)
  6. Dzhukha V.M., Kutelev P.V. [Technology of radical redesign of business process]. Vestnik Rostovskogo gosudarstvennogo ekonomicheskogo universiteta (RINKh) = Vestnik of Rostov State University of Economics, 2015, no. 1, pp. 166–174. URL: Link (In Russ.)
  7. Mishurova I.V., Nikolaev D.V., Nikolaeva N.V., Filimonova N.M. [The process of reengineering of business processes in the management of organizational change]. Izvestiya vysshikh uchebnykh zavedenii. Tekhnologiya tekstil'noi promyshlennosti, 2018, no. 5, pp. 42–47. URL: Link (In Russ.)
  8. Mishurova I.V., Nikolaev D.V., Nikolaeva N.V., Filimonova N.M. [Managing business processes of the enterprise on the basis of strategic and operational accounting of economic indicators]. Izvestiya vysshikh uchebnykh zavedenii. Tekhnologiya tekstil'noi promyshlennosti, 2017, no. 3, pp. 83–87. (In Russ.)
  9. Komissarova M.A. [Opportunities of use of reengineering as a main instrument for company management for the point of view of process approach]. Kreativnaya ekonomika = Creative Economy, 2011, no. 7, pp. 10–16. URL: Link (In Russ.)
  10. Thayse A., Gribomont P., Hulin G. et al. Logicheskii podkhod k iskusstvennomu intellektu [Approche Logique de l'Intelligence Artificielle]. Moscow, Mir Publ., 1998, 495 p.
  11. Winston P.H. Iskusstvennyi intellekt [Artificial Intelligence]. Moscow, Mir Publ., 1980, 519 p.
  12. Finn V.K. Iskusstvennyi intellekt. Metodologiya, primeneniya, filosofiya [Artificial Intelligence: Methodology, Applications, Philosophy]. Moscow, Krasand Publ., 2011, 448 p.
  13. Hunt E. Iskusstvennyi intellect [Artificial Intelligence]. Moscow, Mir Publ., 1978, 558 p.
  14. Proidakov E.M. [The current state of artificial intelligence]. Naukovedcheskie issledovaniya, 2018, no. 2018, pp. 129–153. URL: Link (In Russ.)
  15. Shepelev G.I. [Comparing of polyinterval alternatives: collective risk estimating]. Iskusstvennyi intellekt i prinyatie reshenii = Artificial Intelligence and Decision Making, 2019, no. 3, pp. 3–11. URL: Link (In Russ.)
  16. Karpov V.E., Karpova I.P., Kulinich A.A. Sotsial'nye soobshchestva robotov [Social robot communities]. Moscow, Editorial URSS Publ., 2019, 352 p.
  17. Kulinich A.A. A Model of Command Behavior of Agents in a Qualitative Semiotic Environment. Part 1. A Qualitative Functioning Environment. Basic Definitions and Statement of the Problem. Scientific and Technical Information Processing, 2018, vol. 45, iss. 6, pp. 417–424. URL: Link

View all articles of issue

 

ISSN 2311-8709 (Online)
ISSN 2071-4688 (Print)

Journal current issue

Vol. 26, Iss. 8
August 2020

Archive