KnE Engineering

ISSN: 2518-6841

The latest conference proceedings on all fields of engineering.

Development of a Mathematical Model for Analyzing the Performance of Operators of Web-oriented Information Systems

Published date: Oct 08 2018

Journal Title: KnE Engineering

Issue title: Breakthrough directions of scientific research at MEPhI: Development prospects within the Strategic Academic Units

Pages: 41–48

DOI: 10.18502/keg.v3i6.2969

Authors:
Abstract:

The issue of developing a mathematical model for estimating the dynamics of changes in the performance of operators of web-oriented information systems is considered. The relevance of these systems is shown both for the evaluation of the effectiveness of the units’ activities and for the formation of the psychological climate of the collective. The generality of the solution of this issue and the issues of revealing abnormal behavior as a sign of harmful activity is described. The applicability of this approach for assessing the quality of interface updates of the system is underlined. The proposed mathematical model and the numerical algorithm for its building are thoroughly disassembled. A description of the system for evaluating the performance of operators of the ERP system of the National Research Nuclear University MEPhI, developed on the basis of this model, is given. Conclusions are drawn about the applicability of the proposed mathematical model.

 

 

 

Keywords: mathematical model, employee behavior, psychological climate of the team, detection of abnormal behavior, information system, Ruby on Rails, evaluation of the quality of interfaces, monitoring of operations, performance loss factors, criminal or illegal activity

References:

[1] Fernández-Aráoz, C. (2014). It’s Not the How or the What but the Who: Succeed by Surrounding Yourself with the Best, p. 244. Harvard Business Review Press.


[2] Kind, N., Eckert, A., Steinlin, C., et al. (2018). Verbal and physical client aggression – A longitudinal analysis of professional caregivers’ psychophysiological stress response and burnout. Psychoneuroendocrinology, vol. 94, pp. 11–16.


[3] Zaninotto, L., Rossi, G., Danieli, A., et al. (2018). Exploring the relationships among personality traits, burnout dimensions and stigma in a sample of mental health professionals. Psychiatry Research, vol. 264, pp. 327–333.


[4] Brearley, J. (2018). Personal experience of professional burnout. Veterinary Record, vol. 182, no. 16, pp. i–ii.


[5] The official website of monitoring system KickDler, https://www.kickidler.com/ (last accessed June 22, 2018).


[6] The official cite of monitoring system HubStaff, https://hubstaff.com/ employee_monitoring (last accessed June 22, 2018).


[7] The official cite of Yaware application, https://yaware.ru (last accessed June 22, 2018).


[8] The official cite of StaffCop application, www.staffcop.ru (last accessed June 22, 2018).


[9] Raskin, J. (2000). The Humane Interface: New Directions for Designing Interactive Systems, p. 233. Addison-Wesley Professional.


[10] Alberg, J. (1972). The Theory of Splines and Its Applications, p. 319. Moscow: Mir.


[11] Radygin, V. Y., Lukyanova, N. V., and Kupriyanov, D. Yu. (2017). LMS in university for in-class education: Synergy of free software, competitive approach and social networks technology, in Proceedings of the International Scientific-Practical Conference Information Technologies in Education of the XXI Century, #91 (ITE-XXI), pp. 020015-1–020015-8. AIP Publishing.


[12] Radygin, V. Y., Kupriyanov, D. Yu. (2018). Technological support of real-time interaction in web clients of analytical fraud detection systems, in Proceedings of the III Network AML/CFT Institute International Scientific and Research Conference ”FinTech and RegTech”, pp. 450–457. KnE Social Sciences.


[13] Statistical analysis of using different frameworks in the Internet from BuiltWith Pty Ltd Company, http://trends.builtwith.com/framework (last accessed June 22, 2018).

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