Analysis of the influence of information environment factors on the economic performance of a multinational corporation in the cosmetics industry
Jazyk: | ruština |
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Rok vydání: | 2022 |
Předmět: |
econometcric analysis
ÑкономеÑÑиÑеÑкий анализ ÑиÑÑовой маÑкеÑинг multinational corporations digital marketing information environment ÑÑанÑнаÑионалÑнÑе коÑпоÑаÑии инÑоÑмаÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÑеда коÑмеÑиÑеÑÐºÐ°Ñ Ð¾ÑÑаÑÐ»Ñ cosmetics industry |
DOI: | 10.18720/spbpu/3/2022/vr/vr22-1105 |
Popis: | Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ Â«Ðнализ влиÑÐ½Ð¸Ñ ÑакÑоÑов инÑоÑмаÑионной ÑÑÐµÐ´Ñ Ð½Ð° ÑкономиÑеÑкие показаÑели ÑÑанÑнаÑионалÑной коÑпоÑаÑии коÑмеÑиÑеÑкой оÑÑаÑли». ÐбÑекÑом иÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ ÑвлÑеÑÑÑ ÐºÐ¾ÑмеÑиÑеÑÐºÐ°Ñ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ ÐÑÑе ÐаÑÐ´ÐµÑ Ðомпаниз, а пÑедмеÑом оÑноÑÐµÐ½Ð¸Ñ Ð´Ð°Ð½Ð½Ð¾Ð¹ коÑпоÑаÑии, возникаÑÑие в инÑоÑмаÑионной ÑÑеде.Â Ð¦ÐµÐ»Ñ Ð²ÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ Ð±Ð°ÐºÐ°Ð»Ð°Ð²Ñа â вÑÑвление влиÑÐ½Ð¸Ñ ÑакÑоÑов инÑоÑмаÑионной ÑÑÐµÐ´Ñ Ð½Ð° показаÑели ÑÑанÑнаÑионалÑной коÑпоÑаÑии коÑмеÑиÑеÑкой оÑÑаÑли. РбакалавÑÑкой ÑабоÑе бÑло ÑаÑÑмоÑÑено Ñакое понÑÑие инÑоÑмаÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÑеда, ÑиÑÑовой маÑкеÑинг, ÑÑанÑнаÑионалÑÐ½Ð°Ñ ÐºÐ¾ÑпоÑаÑиÑ, изÑÑена меÑодика ÑегÑеÑÑионного анализа и пÑогÑаммиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð½Ð° ÑзÑке Python. ÐÑл пÑоведен оÑÑаÑлевой анализ, анализ ÑинанÑово-Ñ Ð¾Ð·ÑйÑÑвенной деÑÑелÑноÑÑи пÑедпÑиÑÑÐ¸Ñ ÐºÐ¾ÑмеÑиÑеÑкой оÑÑаÑли, иÑÑледована ÑÑÑаÑÐµÐ³Ð¸Ñ ÑиÑÑового маÑкеÑинга и влиÑние ÑакÑоÑов инÑоÑмаÑионной ÑÑедÑ. ÐÑедпÑиÑÑие Ð¾Ð±Ð»Ð°Ð´Ð°ÐµÑ Ð½Ð¾ÑмалÑной ÑинанÑовой ÑÑÑойÑивоÑÑÑÑ, анализ динамики акÑий положиÑелÑнÑй. РÑезÑлÑÑаÑе ÑегÑеÑÑионного анализа бÑли вÑÑÐ²Ð»ÐµÐ½Ñ ÑледÑÑÑие ÑакÑоÑÑ Ð¸Ð½ÑоÑмаÑионной ÑÑедÑ, влиÑÑÑие на ÑÑоимоÑÑÑ Ð°ÐºÑий компании: колиÑеÑÑво поиÑковÑÑ Ð·Ð°Ð¿ÑоÑов Ð½Ð°Ð·Ð²Ð°Ð½Ð¸Ñ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸, попÑлÑÑноÑÑÑ ÐºÐ¾Ð¼Ð¿Ð°Ð½Ð¸Ð¸ в Google Trends и ÑоналÑноÑÑÑ Ð½Ð¾Ð²Ð¾ÑÑного Ñона компании в Google News. Ð¡Ð±Ð¾Ñ Ð´Ð°Ð½Ð½ÑÑ Ð¿Ð¾ новоÑÑной ÑоналÑноÑÑи оÑÑÑеÑÑвлÑлÑÑ Ñ Ð¿Ñименением ÑзÑка пÑогÑаммиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Python. ÐкономеÑÑиÑеÑкое моделиÑование пÑоводилоÑÑ Ð² 4 ÑÑапа. Ð ÑезÑлÑÑаÑе пÑоведенного анализа бÑли пÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¿Ð¾Ð¸ÑковÑй маÑкеÑинг (SEM) и маÑкеÑинг поиÑковой опÑимизаÑии (SEO) в ÑоÑеÑании Ñ Ð¼Ð°ÑÑовой пÑовеÑкой ÑаÑÑоÑноÑÑи поиÑковÑÑ Ð·Ð°Ð¿ÑоÑов и оÑÑлеживанием коÑÑÑиÑиенÑов конвеÑÑии и ÑдовлеÑвоÑенноÑÑи Ñелевой аÑдиÑоÑии. The bachelor's graduate qualification paper is thesis is «Analysis of the influence of information environment factors on the economic performance of a multinational corporation in the cosmetics industry». The object of the study is Estée Lauder Companies, the subject is the relations of this corporation arising in the information environment. The purpose of the final bachelorâs qualification work is identification of the influence of information environment factors on the indicators of a multinational corporation in the cosmetics industry. the methodology of regression analysis and programming in Python is studied. Regression analysis was performed using Microsoft Excel. In the bachelor's work was considered such a concept as information environment, digital marketing, multinational corporation, the methodology of regression analysis and programming in Python is studied. An industry analysis was carried out, an analysis of the financial and economic activities of the cosmetic industry enterprise, a digital marketing strategy and the influence of information environment factors were investigated. The company has normal financial stability, the dynamics of the shares is positive. As a result of the regression analysis, the following factors of the information environment were identified as affecting on the value of the company's shares: the number of search queries for the company's name, the popularity of the company in Google Trends and the tonality of the company's news background in Google News. Data collection on the news tonality was carried out using the Python programming language. Econometric modeling was carried out in 4 stages. As a result of the analysis were proposed for digital marketing following strategies: search engine marketing (SEM) and search engine optimization (SEO) combined with mass verification of the frequency of search queries, tracking conversion rates and customer satisfaction index (CSI). |
Databáze: | OpenAIRE |
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