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ScienceRise: Pharmaceutical Science
Article . 2020 . Peer-reviewed
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ScienceRise: Pharmaceutical Science
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Methods of assessment of quality of partnership relations between pharmaceutical market entities in the medicine promotion system on the basis of multicriterial choice

Authors: Olkhovska, Anzhela; Malyi, Volodymyr; Nessonova, Maryna; Chehrynets, Anna;

Methods of assessment of quality of partnership relations between pharmaceutical market entities in the medicine promotion system on the basis of multicriterial choice

Abstract

The aim. Development of a conceptual model for the formation of strategic partnerships between the subjects of the pharmaceutical market and the effectiveness of their management; development and testing of methods for assessing the quality of partnerships between pharmaceutical market participants in the system of promotion of medicines based on multi-criteria selection. Materials and methods. Methods of content analysis, logical analysis, grouping, generalization, marketing research, statistical analysis, graphical method and “classification tree” (CART) method were used to implement the outlined research tasks. Research results. The conceptual model of formation of strategic partnership relations (PR) and efficiency of their management between subjects of the pharmaceutical market (SPM) in system of advancement of medicines (drugs) in the pharmaceutical market is developed, the implementation of which will facilitate the integration of efforts to provide quality pharmaceutical care to the population of Ukraine. According to the expert survey, the importance of the criteria for evaluating SPM partnerships is determined: the duration of the relationship, the depth of the partnership, the possibility of duplication, the reliability and dynamics of the partnership, the effectiveness of the partnership. A method for assessing the quality of PR between SPM in the system of drug promotion based on multicriteria selection using the method of “decision tree”, which was tested in the practice of the studied pharmaceutical company (PC) in promoting the pharmaceutical enzyme complex to restore spine and joint function. PR quality assessment between SPM in the pharmaceutical product promotion system according to the developed algorithm is done by sequential comparison of predictors-criteria with the threshold values of their scores, according to which the descent along certain tree branches is reached until a terminal node corresponding to a certain the value (high, medium or low) of the level of quality of the relationship with the partner in the promotion of goods. The overall accuracy of the constructed algorithm is 80.2 %. Combinations of values of evaluation of partnership criteria which provide high, average and low level of quality of PR are defined. Conclusions. The obtained results allowed to determine the group of the most optimal partners of the studied PC, which provide effective promotion of the pharmaceutical product on the basis of a high level of PR quality. The developed methodology for assessing the quality of PR between SPM in the system of pharmaceutical promotion based on multi-criteria selection will be useful for SPM who seek to develop and maintain long-term relationships with partners for consolidated cooperation by optimizing marketing activities. The results obtained are of practical importance and can be useful for SPM in order to form an effective and lasting partnership in the field of drug promotion, which will help improve the quality of pharmaceutical care and the availability of drugs for the population

Keywords

UDC: 615.1:339.138, партнерские отношения; субъекты фармацевтического рынка; продвижение; лекарственные средства; модель «дерево решений»., партнерські відносини; суб’єкти фармацевтичного ринку; просування; лікарські засоби; модель «дерево рішень»., partnerships; pharmaceutical market players; promotion; medicines; “decision tree” model

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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