Providing a framework for evaluating the advertising efficiency using data envelopment analysis technique

Armin Ejlal, M. S. Roodposhti
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引用次数: 1

Abstract

Advertising plays an important role in the marketing strategy and a considerable amount of budgets has been allocated for advertising every year. However, the proportion of advertisement campaign achievements to those designated for their design, or in other words, its efficiency, is questionable. This study was conducted to assess the efficiency of the food industry's advertising brands using data envelopment analysis (DEA). The duration of the campaign and budget as input and brand familiarity, attractiveness of implementation and sale were used as an output for the evaluation. The results of the study indicated that there are inefficiencies in this industry, thus in an attempt to improve the situation of the advertising efficiency, some solutions was provided to managers. Also, the most important variables affecting the efficiency of the food industry was identified by sensitivity analysis.
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利用数据包络分析技术,提供了一个评估广告效率的框架
广告在营销策略中扮演着重要的角色,每年都有相当多的预算被分配给广告。然而,广告活动的成果占其设计成果的比例,或者换句话说,其效率是值得怀疑的。本研究使用数据包络分析(DEA)来评估食品行业广告品牌的效率。活动的持续时间和预算作为输入,品牌熟悉度,实施和销售的吸引力被用作评估的输出。研究结果表明,该行业存在效率低下的问题,因此,为了改善广告效率的状况,本文为管理者提供了一些解决方案。此外,通过敏感性分析确定了影响食品工业效率的最重要变量。
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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