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dc.contributor.authorLagutaeva, Daria A.-
dc.contributor.authorTretyak, Olga A.-
dc.contributor.authorGrigoriev, Alexander Yu.-
dc.date.accessioned2017-06-26T15:54:49Z-
dc.date.available2017-06-26T15:54:49Z-
dc.date.issued2016-12-
dc.identifier.other10.21638/11701/spbu18.2016.401-
dc.identifier.urihttp://hdl.handle.net/11701/6500-
dc.description.abstractThis paper addresses the question of existence of relationships between usage of contemporary marketing practices and profitability for companies operating on the Russian market. To address this issue, we utilize a machine learning method that so far was barely present in marketing and management science. The paper is not only promoting a novel research method, it also establishes the relationships between profitability and specific sets of marketing practices. We show that the companies having negative profitability make use of a wide spectrum of marketing practices (with an exception of interactive marketing) and they do not prioritize any specific types of practices. In contrary, profitable companies intensively use interactive marketing and also combine it with IT-marketing and network marketing. This shows that successful companies focus on relationship marketing in a variety of its forms.en_GB
dc.description.sponsorshipThe research was realized within the framework of the National Research University "Higher School of Economics (HSE)" Basic Research Program in 2016.en_GB
dc.language.isoruen_GB
dc.publisherSt Petersburg State Universityen_GB
dc.relation.ispartofseriesRussian Management Journal;Vol. 14; Issue 4-
dc.subjectmarketing practicesen_GB
dc.subjectprofitabilityen_GB
dc.subjectmachine learningen_GB
dc.subjectclassificationen_GB
dc.subjecttypology of marketing practicesen_GB
dc.titleMarketing Practices and Profitability of a Company: A Study by Machine Learning Methoden_GB
dc.typeArticleen_GB
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