Methodic approaches to prediction of a positive corporate image of pharmaceutical organizations
Methodic approaches to the prediction of a positive corporate image of pharmaceutical organizations are presented. A technique is developed for the prediction of a risk of loss of the corporate image. The technique includes the algorithm for construction of estimation and prediction tables and rules...
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Format: | Article |
Language: | English |
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Siberian State Medical University (Tomsk)
2010-02-01
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Series: | Бюллетень сибирской медицины |
Subjects: | |
Online Access: | https://bulletin.ssmu.ru/jour/article/view/1543 |
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author | A. G. Petrov O. I. Knysh G. P. Petrov |
author_facet | A. G. Petrov O. I. Knysh G. P. Petrov |
author_sort | A. G. Petrov |
collection | DOAJ |
description | Methodic approaches to the prediction of a positive corporate image of pharmaceutical organizations are presented. A technique is developed for the prediction of a risk of loss of the corporate image. The technique includes the algorithm for construction of estimation and prediction tables and rules of their usage. |
first_indexed | 2024-04-10T01:11:13Z |
format | Article |
id | doaj.art-b6c41643b8b545f2b3161f65d0d133b7 |
institution | Directory Open Access Journal |
issn | 1682-0363 1819-3684 |
language | English |
last_indexed | 2024-04-10T01:11:13Z |
publishDate | 2010-02-01 |
publisher | Siberian State Medical University (Tomsk) |
record_format | Article |
series | Бюллетень сибирской медицины |
spelling | doaj.art-b6c41643b8b545f2b3161f65d0d133b72023-03-13T09:58:12ZengSiberian State Medical University (Tomsk)Бюллетень сибирской медицины1682-03631819-36842010-02-019113013510.20538/1682-0363-2010-1-130-1351049Methodic approaches to prediction of a positive corporate image of pharmaceutical organizationsA. G. Petrov0O. I. Knysh1G. P. Petrov2Кемеровская государственная медицинская академияТюменская государственная медицинская академияКемеровская государственная медицинская академияMethodic approaches to the prediction of a positive corporate image of pharmaceutical organizations are presented. A technique is developed for the prediction of a risk of loss of the corporate image. The technique includes the algorithm for construction of estimation and prediction tables and rules of their usage.https://bulletin.ssmu.ru/jour/article/view/1543прогнозирование рискаимиджфармацевтическая организация |
spellingShingle | A. G. Petrov O. I. Knysh G. P. Petrov Methodic approaches to prediction of a positive corporate image of pharmaceutical organizations Бюллетень сибирской медицины прогнозирование риска имидж фармацевтическая организация |
title | Methodic approaches to prediction of a positive corporate image of pharmaceutical organizations |
title_full | Methodic approaches to prediction of a positive corporate image of pharmaceutical organizations |
title_fullStr | Methodic approaches to prediction of a positive corporate image of pharmaceutical organizations |
title_full_unstemmed | Methodic approaches to prediction of a positive corporate image of pharmaceutical organizations |
title_short | Methodic approaches to prediction of a positive corporate image of pharmaceutical organizations |
title_sort | methodic approaches to prediction of a positive corporate image of pharmaceutical organizations |
topic | прогнозирование риска имидж фармацевтическая организация |
url | https://bulletin.ssmu.ru/jour/article/view/1543 |
work_keys_str_mv | AT agpetrov methodicapproachestopredictionofapositivecorporateimageofpharmaceuticalorganizations AT oiknysh methodicapproachestopredictionofapositivecorporateimageofpharmaceuticalorganizations AT gppetrov methodicapproachestopredictionofapositivecorporateimageofpharmaceuticalorganizations |