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Optimisation of the rational proportion of intelligent technologies application in service organisations Cover

Optimisation of the rational proportion of intelligent technologies application in service organisations

Open Access
|Jul 2021

Abstract

Background and Purpose: The growing role and involvement of Artificial Intelligence in modern digital enterprises leads to a considerable reduction of personnel and reorientation of the remaining staff to new responsibilities. However, in many areas like services and support the total elimination of the employed human resources still remains impossible. It is proposed to study the organisational problem of finding the optimal proportion of computer agents and human actors in the mixed collaborative environment.

Methods: Using the technology of semantic and statistical analysis, we developed an original model of computer agents’ and human actors’ cooperative interaction and an optimization method, which is novel in considering the focus of the executors while calculating the compliance indicators.

Results: The problem was studied by an example of service desk automation. Considering the semantics of the problem domain in the form of ontology introduces the logic for better distribution and automation of tasks.

Conclusion: In a modern digital enterprise there exists and can be estimated a rational balance between the computer agents and human actors, which becomes a significant indicator of its performance. In general, human actors are preferable for processing unpredictable events in real time, while agents are better at the modelling and simulation.

DOI: https://doi.org/10.2478/orga-2021-0011 | Journal eISSN: 1581-1832 | Journal ISSN: 1318-5454
Language: English
Page range: 162 - 177
Submitted on: Jul 7, 2020
Accepted on: Mar 26, 2021
Published on: Jul 8, 2021
Published by: University of Maribor
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Anton Ivaschenko, Alfiya R. Diyazitdinova, Tatiyana Nikiforova, published by University of Maribor
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.