Masuma Mammadovа, Zarifa Jabrayilova


In each organization, the goal of human resource management (HRM) is to form, employ and develop human resources. The massive spread of Internet technologies and the globalization of the economy in the late twentieth century have allowed the enterprises to form a temporary partnership, and subsequently have led to the formation and expansion of virtual organizations (VO) by establishing these relationships over the Internet. Unquestionably, the success of VO depends on appropriate organization of HRM and selection, deployment, socialization, motivation and evaluation of employees and partners. In this regard, this paper analyzes the features of HRM in VO and proposes methods for the recruitment and assessment of the performance of virtual employees (contractors).

The article analyzes the specific features of HRM in VO. The issues of HRM in VT are characterized as decision-making in fuzzy environment. Based on the peer comparison of expert estimates for the alternatives, including on the hierarchical analysis method, detection of the contradictions in the expert estimates and multiplicative aggregation methods, a decision making technique is proposed for the recruitment of the employees.

Assessment of the virtual employees’ performance to achieve overall objective of the organization is formulated as a decision-making process in distributed environment and appropriate decision-making methods are proposed.

The proposed approach is a methodological framework for decision support for human resources management in virtual organizations. This system can support more objective and scientifically justified decision-making on presented task. It can also enable VO to be more "reliable" in relation to the "trust" component for the formation of VO, which is the key point for the increase of the effectiveness of VO.


virtual organization; human resources management; fuzzy environment; virtual employees; decision-making methods in distributed environment

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Sankova, L. (2007). HR-management in virtual organizations: problems and prospects. Personnel management. 5. Available at:

Camarinha-Matos, L. M., Afsarmanesh, H., Ollus, M. (Eds.) (2005). Virtual Organizations: Systems and Practices. Springer Science & Business Media, 340. doi: 10.1007/b102339

Nami, M. R. (2008). Virtual Organizations: An Overview. IFIP – The International Federation for Information Processing, 211–219. doi: 10.1007/978-0-387-87685-6_26

Heneman, R. L., Greenberger, D. B. (2002). Human resource management in virtual organizations. Greenwich, Conn: Information Age Pub, 381.

Junyan, D. U. Information Technology in Virtual Enterprise Human Resources Management Application. Available at:

Boljanović, J. D., Dobrijevic, G., Dokovic, F. (2016). Challenges of human resource management in a virtual business environment. International Scientific Conference on ICT and E-Business Related Research, 389–394.

Mammadova, M., Jabrayilova, Z. (2018). Techniques for personnel selection in virtual organization. Problems of Information Technology, 09 (1), 15–24. doi: 10.25045/jpit.v09.i1.02

Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8 (3), 338–353. doi: 10.1016/s0019-9958(65)90241-x

Mikhailov, L. (2002). Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega, 30 (5), 393–401. doi: 10.1016/s0305-0483(02)00052-x

Polyantchikov, I., Shevtshenko, E., Karaulova, T., Kangilaski, T., Camarinha-Matos, L. M. (2017). Virtual enterprise formation in the context of a sustainable partner network. Industrial Management & Data Systems, 117 (7), 1446–1468. doi: 10.1108/imds-07-2016-0274

Saati, T. L. (1993). Decision-making. Hierarchical analysis method. Moscow: Radio and Communication, 320.

Larichev, O. I. (2002). Theory and methods of decision making, and chronicle of events in magical countries. Moscow: Logos, 392.

Neuman, D. V., Morgenstern, O. (1970). Game theory and economic behavior. Мoscow: Science 708.

Mammadova, M. H., Djabrailova, Z. G. (2018). Decision-Making Support in Human Resource Management Based on Multi-Objective Optimization. TWMS Journal of Pure and Applied Mathematics, 9 (1), 52–72.

Samdantsoodol, A., Cang, S., Yu, H., Eardley, A., Buyantsogt, A. (2017). Predicting the relationships between virtual enterprises and agility in supply chains. Expert Systems with Applications, 84, 58–73. doi: 10.1016/j.eswa.2017.04.037

Mammadova, M. H., Jabrayilova, Z. Q., Mammadzada, F. R. (2016). Fuzzy Multi-scenario Approach to Decision-Making Support in Human Resource Management. Studies in Fuzziness and Soft Computing, 19–36. doi: 10.1007/978-3-319-32229-2_3

Mammadova, M. H., Jabrayilova, Z. G. (2005). Decision making in the management of hard-to-formalize systems. Automation and Computer Engineering, 6, 33–39.

Mammadova, M. H. (1997). Decision-making based on knowledge bases with fuzzy relational structure. Baku: Elm, 296.



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ISSN 2461-4262 (Online), ISSN 2461-4254 (Print)