Marketing inputs and outcome heterogeneity: Using a quantile regression framework in the entertainment industry

IF 9.5 1区 管理学 Q1 BUSINESS Journal of the Academy of Marketing Science Pub Date : 2024-10-21 DOI:10.1007/s11747-024-01054-5
Alexa B. Burmester, Michel Clement, Jan U. Becker, Cord Otten
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Abstract

The success of entertainment products such as movies or books varies tremendously, and managers strive to increase the odds by deciding on the right marketing input. Aiming to improve managerial decision making, we suggest and test a quantile regression framework to detect outcome heterogeneity effects of marketing inputs in the entertainment industry. By analyzing the spread of the .9 and the .1 conditioned quantile to the .5 (median) conditioned quantile, we study how much an increase (decrease) of an input factor (star power and quality) changes the spread of the expected outcome (revenues and sales). The spread serves as an indicator for the heterogeneity effect of the input factor regarding the outcome. In two empirical studies, we show how marketing instruments increase (or decrease) outcome heterogeneity by estimating quantile regressions and provide generalizable findings regarding the outcome heterogeneity effects of star power (increases outcome heterogeneity) and quality evaluations (reduces outcome heterogeneity) in the entertainment industry.

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营销投入与结果异质性:在娱乐业中使用量化回归框架
电影或书籍等娱乐产品的成功与否千差万别,管理者们努力通过决定正确的营销投入来提高成功几率。为了改进管理决策,我们提出并测试了一个量子回归框架,以检测娱乐业营销投入的结果异质性效应。通过分析 0.9 和 0.1 条件量值与 0.5(中位数)条件量值的差值,我们研究了投入因素(明星效应和质量)的增加(减少)对预期结果(收入和销售额)差值的改变程度。价差是衡量投入因素对结果的异质性影响的指标。在两项实证研究中,我们通过估计量子回归说明了营销工具如何增加(或减少)结果异质性,并就娱乐业中明星效应(增加结果异质性)和质量评价(减少结果异质性)的结果异质性效应提供了可推广的结论。
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来源期刊
CiteScore
30.00
自引率
7.10%
发文量
82
期刊介绍: JAMS, also known as The Journal of the Academy of Marketing Science, plays a crucial role in bridging the gap between scholarly research and practical application in the realm of marketing. Its primary objective is to study and enhance marketing practices by publishing research-driven articles. When manuscripts are submitted to JAMS for publication, they are evaluated based on their potential to contribute to the advancement of marketing science and practice.
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