Fuzzy approach to estimate the demand and supply quantitative imbalance at the labor market of information technology specialists

Abstract

This document considers the processes of modelling supply and demand interactions in the labour market for information technology experts (IT professionals) and management of their quantitative disparity at the macro level. The types of supply and demand imbalance for IT professionals are marked out. The methods are proposed for estimating the structural mismatch in the labour market for IT professionals, the degree of supply and demand imbalance for IT professionals based on fuzzy unbalance scale. The algorithm of fuzzy classification of states of imbalance is proposed.This document considers the processes of modelling supply and demand interactions in the labour market for information technology experts (IT professionals) and management of their quantitative disparity at the macro level. The types of supply and demand imbalance for IT professionals are marked out. The methods are proposed for estimating the structural mismatch in the labour market for IT professionals, the degree of supply and demand imbalance for IT professionals based on fuzzy unbalance scale. The algorithm of fuzzy classification of states of imbalance is proposed.

Keywords

• labour market for IT professionals,supply-demand balancing,quantitative imbalance,fuzzy mismatch scale,fuzzy classification of states of imbalance

Kaynakça

1. E-Skills for Jobs in Europe. [Online]. Available: www.eskills2014.euhttp://www.digitaleurope.org/Ourwork/
2. Cedefop (2012) Skill supply and demand in Europe: medium-term forecasts up to 2020/ Thessaloniki: Cedefop, 2012, p. 84. [Online]. Available:
3. http://www.cedefop.europa.eu/en/Files/6103_en.pdf
4. Anticipating the development of the supply and demand of e-skills in Europe 2010-2015, 2009. [Online]. Available:
5. http://ec.europa.eu/enterprise/sectors/ict/files/e-skills_foresight_scenarios__2015_en.pdf
6. W. Bartlett, European Training Foundation, 2011. Skills anticipation and matching systems in transition and developing countries: conditions and challenges. Working paper for the European Training Foundation. [Online]. Available: www.etf.europa.eu
7. European Commission (2012) “Commission Staff Working Document: Exploiting the employment potential of ICTs”. [Online]. Available:
8. http://ec.europa.eu/social/main.jsp?catId=822&langId=en&newsId=1270

9. European Commission. EU Skills Panorama Analytical Highlight 'ICT Professionals'. [Online]. Available:
10. http://euskillspanorama.ec.europa.eu
11. D. M. Wennergren, US Forecast of Future IT Labour Supply and Demand. 2007. [Online]. Available:
12. http://dodcio.defense.gov/Home/Initiatives/NetGenerationGuide/ForecastofFutureLabourSupplyandDemand.aspx
13. D. Ticol, Labour supply / demand dynamics of Canada's information and communications technology (ICT) sector. Final Report, 2012, p. 30. [Online]. Available:http://www.nordicity.com/media/20121112pnzutcbz.pdf
14. J. Roodt and A. Paterson, ICT skills in the labour market: An occupational-level analysis focusing on computer professionals and associate professionals 1996-2005. 2008, p.68. [Online]. Available:
15. http://www.labour.gov.za/DOL/downloads/documents/research-documents/ICT%20skills_DoL_ Report.pdf.
16. Department for Employment and Learning. Research Study on High-Level Skill Needs in NI ICT Sector. Final Report. Oxford Economics, 2009. p.129. [Online]. Available:
17. http://www.delni.gov.uk/research_study_on_high-level_skill_needs_in_ni_ict_sector_final_report.pdf
18. M. H. Mammadova and F. R. Mammadzada, “Formation of supply and demand for IT Specialists on the base of competency model”, in Proc. IV International Conference Problems of Cybernetics and Informatics (PCI-2012). Baku. Sept.12-14, 2012, v. 4. pp. 199–201.
19. A. Lichter, A. Peichl and S. Siegloch, “Micro-level labor demand estimation for Germany/ Institute for the Study of Labor (IZA), 2013, p.54.
20. M. Dolls, A. Lichter, H. Schneider and E. Sommer, Projected micro-level dataset for Germany based on reweighting/ Institute for the Study of Labor (ISA), 2012, p.18.
21. P. Hackl and A.Wellund, “Customer Satisfaction Measurement: PLS and Alternative Estimation Methods”, in Proc. of the 44-th annual EOQ Congress, Budapest, 2000, vol.2, pp. 45–52.
22. M. G. Mamedova, Z. G. Jabrayilova and F. R. Mammadzade, “Fuzzy Multicriterial Methods for the Selection of IT-Professionals”, International Journal of Intelligent Systems and Applications in Engineering (IJISAE), 2015, vol.3, no.2, pp. 40–45
23. M. G. Mamedova, Z. G. Jabrayilova and F. R. Mammadzade, “Situational management of information technology specialists labour market”, Problems of Information Technology, Baku, 2014, no.1, pp. 9–17.
24. R. R. Gallyamov, System of optimization models of professional and qualifying imbalance of the labour market. The Synopsis of Candidate’s Thesis in Economy. 2007. [Online]. Available:http://economy-lib.com/sistema-optimizatsionnyh-modeley-professionalno-kvalifikatsionnogo-disbalansa-rynka-truda
25. L. A. Shiyanova, “Revising the problem of equation supply of the educational service market and the needs of economic systems in the professional staff (on example of Kaliningrad region)”, Journal of Economic Integration, M.: 2009, no.8, pp.138–145.
26. A. N. Melihov, L. S. Bernstein and S. Y. Korovin, Situational advising systems with fuzzy logic. Moscow: Nauka, 1990, p. 272.
27. A. N. Borisov, A. V .Alekseev, O. A. Krumberg et al. Decision-making models based on linguistic variable. Riga. Zinatne, 1982, p. 256.
28. L. A. Zadeh, “Fuzzy logic and approximate reasoning” Synthese, 1975, v. 80, pp. 407–428.
29. Fuzzy multitude and possibility theory. Recent advances. Tr. from English. Ed. by R.R.Yager. M.: Radio i svyaz. 1986, p. 408.
30. M. Sugeno, “Theory of fuzzy integral and its application”, PhD thesis, Tokyo Institute of Technology, Japan. 1974. [Online]. Available http://www.lamsade.dauphine.fr/mcda/ bible / Author / SUGENO-M.html