利用营销组合模型量化影响博物馆兴趣的因素

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2022-10-13 DOI:10.1080/09647775.2022.2132991

Maciej Czerwiński

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引用次数: 0

摘要

本文建议营销组合建模方法，以改善博物馆和艺术画廊的营销和展览活动，因为它可以补充其他目前使用的方法，如调查或定性研究。重点放在萨切塔国家美术馆。计量经济模型用于量化独立因素(例如，天气、假期、事件和COVID-19大流行)对画廊受欢迎程度的影响。分析传媒及个别展览类型对参观者兴趣的影响。为规划今后的活动提出了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Quantifying factors influencing the interest in museums with the use of marketing mix modelling

This paper recommends the marketing mix modelling methodology for improving the marketing and exhibition activities at museums and art galleries as it can complement other currently used methods such as surveys or qualitative research. Focus is placed on the Zacheta - National Gallery of Art. Econometric modelling is used to quantify the impact of independent factors (e.g., weather, holidays, events and COVID-19 pandemic) on the popularity of the gallery. The impact of the media and individual exhibition types are analysed in relation to visitor interest. Recommendations for the planning of future activities are made.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.