基于多标准决策的方法帮助营销人员在Covid-19期间针对包装影响购买的BoPs进行定位

Debadrita Panda, S. Mukhopadhyay, Amit Kumar Bachhar, M. Roy
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引用次数: 0

摘要

本研究采用了一种新颖的方法来捕捉金字塔底层(BoP)消费者在Covid-19危机期间对包装影响购买(PIP)的态度。多年来,BoPs消费者已经成为一个具有充足增长和机会的新兴市场。作者提出了一个基于多标准决策(MCDM)的框架,以帮助营销人员针对城市和农村BoP消费者的PIP。包装要素和家庭、大家庭、同辈的影响被纳入框架,以获得深入的理解。从西孟加拉邦的100个样本量,这个焦点小组为基础的研究可以填补防喷器文献现有的突出的研究空白。结果表明,在危机期间,城市和农村bop对PIP的态度存在差异。基于MCDM的方法和相关的基于机器学习的技术的融合旨在帮助营销人员识别、制定和重新定义行动计划。
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Multi Criteria Decision Making based Approach to Assist Marketers for Targeting BoPs Regarding Packaging Influenced Purchase during Covid-19
This study has a novel approach to capture the attitude of Bottom of the Pyramid (BoP) consumers towards Packaging Influenced Purchase (PIP) during the Covid-19 crisis. Over the years, BoPs consumers have established themselves as an emerging market with ample growth and opportunities. The authors suggested a Multiple-Criteria Decision-Making (MCDM) based framework to assist marketers in targeting both urban and rural BoP consumers regarding PIP. Packaging elements and influence of family, extended family, peers have been included in the framework for gaining in-depth understanding. With a sample size of 100 from West Bengal, this focus group-based study can fulfil the BoP literature’s existing prominent research gap. Results indicate the difference in attitude for urban and rural BoPs towards PIP during this crisis. The fusion of MCDM based approach and relevant machine learning-based technique aims to assist marketers in identifying, formulating, and redefining an action plan.
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来源期刊
International Journal of Intelligent Systems and Applications in Engineering
International Journal of Intelligent Systems and Applications in Engineering Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
1.30
自引率
0.00%
发文量
18
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