Prediction of the competitiveness dynamics of pharmacy chains

Authors

DOI:

https://doi.org/10.15587/2519-4852.2017.100095

Keywords:

prediction, competitiveness dynamics, pharmacy chains

Abstract

In market economy, one of the main tasks of any enterprise (organization) is to defeat rival competitors. It should not be single or random victory, but it should be natural result of effective management of this process.

 Aim of the present study was development of the methodical approaches for the pharmacy chains competitiveness dynamics modelling under volatile market situation conditions.

Methods. Multivariate correspondence analysis method was used for research.

Results. 53 indexes influencing on the resulting indicator level were analyzed initially for prediction of the pharmacy chains competitiveness dynamic. Using a multiple correspondence analysis, a mathematical model was developed; the model allows predicting the pharmacy chains competitiveness dynamics on the basis of the "competitiveness index" calculation - a numeric index taking positive values in case of increasing competitiveness and negative ones - in case of the absence of its positive dynamics.

 Conclusion. Methodical approaches to the pharmacy chains competitiveness prediction that allow making management decisions aimed at negative external influences resisting and leadership achieving according to the organization's strategic goals were offered

Author Biographies

Olga Posylkina, National University of Pharmacy Pushkinska str., 53, Kharkiv, Ukraine, 61002

Doctor of Pharmacy, professor, Candidate of Economics, head of the Department

Department of Management and Economics of Enterprise

Zhanna Mala, National University of Pharmacy Pushkinska str., 53, Kharkiv, Ukraine, 61002

Postgraduate student

Department of Management and Economics of Enterprise

Marina Nessonova, National University of Pharmacy. Pushkinska str., 53, Kharkiv, Ukraine, 61002

PhD, associate professor

Department of Pharmacoinformatics

References

  1. Vavulina, Yu. V., Kotlyarova, V. G. (2015). Teoretychni aspekty vyznachennya konkurentospromozhnosti potencialu pidpryyemstva. Aktualni problemy rozvytku galuzevoyi ekonomiky ta logistyky. Kharkiv: NFaU, 289–291.
  2. Goncharov, A. B., Antonova, Ya. O. (2013). Konkurentospromozhnist pidpryyemstva v systemi marketyngu. Formuvannya strategiyi naukovo-tekhnichnogo, ekologichnogo i socialno-ekonomichnogo rozvytku suspilstva. Ternopil: Krok, 111–113.
  3. Yankovogo, O. G. (Ed.) (2013). Konkurentospromozhnist pidpryyemstva: ocinka rivnya ta napryamy pidvyshhennya. Odessa: Atlant, 470.
  4. Kotviczka, A. A., Surikova, I. O. (2014). Analiz faktoriv, shho vplyvayut na konkurentospromozhnist vitchyznyanykh farmacevtychnykh pidpryyemstv. Suchasni dosyagnennya farmacevtychnoyi tekhnologiyi. Kharkiv: NFaU, 166–167.
  5. Posylkina, O. V., Demchenko, N. V. (2014). Metodologichni i metodychni aspekty ocinky konkurentospromozhnosti farmacevtychnykh pidpryyemstv. Upravlinnya, ekonomika ta zabezpechennya yakosti v farmaciyi, 2, 28–35.
  6. Posylkina, O. V., Kozyryeva, O. V., Svitlychna, K. S., Khromykh, A. G. (2015). Konkurentospromozhnist pidpryyemstva. Kharkiv: Vyd-vo NFaU, 94.
  7. Rogulya, O. Yu., Lozenko, V. O. (2013). Zastosuvannya yakisnykh ta kilkisnykh metodiv ocinky konkurentospromozhnosti farmacevtychnogo pidpryyemstva. Aktualni problemy rozvytku galuzevoyi ekonomiky ta logistyky. Kharkiv, 97–99.
  8. Mnushko, Z. M., Popova, Yu. V. (2006). Vyznachennya konkurentospromozhnosti likars'kykh preparativ antyhel'mintnoyi diyi, prysutnikh na farmatsevtychnomu rynku Ukrayiny. Visnyk farmatsiyi, 3, 35–40.
  9. Mala, Zh. V., Posylkina, O. V., Nessonova, M. M. (2017). Analiz faktoriv vplyvu na dynamiku konkurentospromozhnosti aptechnykh merezh v zalezhnosti vid yikh typu. Upravlinnya, ekonomika ta zabezpechennya yakosti v farmatsiyi, 1 (43), 44–47.
  10. Маla, Zh. V., Posylkina, О. V., Nessonova, M. M. (2017). Methodological approaches to the analysis and assesment of marketing competitive advantages of pharmacy networks. Social Pharmacy in Health Care, 3 (1), 41–51.

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Published

2017-04-29

How to Cite

Posylkina, O., Mala, Z., & Nessonova, M. (2017). Prediction of the competitiveness dynamics of pharmacy chains. ScienceRise: Pharmaceutical Science, (2 (6), 47–52. https://doi.org/10.15587/2519-4852.2017.100095

Issue

Section

Pharmaceutical Science