“Feel the decibels closely”: Earphones preference study using conjoint analysis

Q4 Mathematics
Kumar Abhinandan Sood, Aditi K. Darekar, Prabhat Mishra, Barsharani Maharana, S. Kumar
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引用次数: 0

Abstract

Conjoint Analysis is an analytical technique used in market research to quantify consumer preferences for a product or service. The result of the technique provides us with different combinations of attributes that consumers value the most. The technique uses different features of a product or service and their corresponding levels to model and quantifies the customers’ buying decision process. Using Conjoint Analysis, one can study the trade-offs undertaken by the consumer and use the derived insights for design implementation. The sale of Bluetooth Earphones in India witnessed a sudden spike during the COVID 19 pandemic. The consequential market, thriving with competition, saw market leaders attempt to strengthen their positions further and new players try to enter the market. The paper seeks to understand the existing consumer preferences for different features of Bluetooth Earphones using Conjoint Analysis. The outcome of the analysis provides market stakeholders with a yardstick to guide their design decisions and formulate sustainable long-term business strategies.
“贴近感受分贝”:使用联合分析的耳机偏好研究
联合分析是一种用于市场研究的分析技术,用于量化消费者对产品或服务的偏好。该技术的结果为我们提供了消费者最看重的不同属性组合。该技术使用产品或服务的不同特征及其相应级别来建模和量化客户的购买决策过程。使用联合分析,可以研究消费者进行的权衡,并将衍生的见解用于设计实施。在2019冠状病毒病疫情期间,蓝牙耳机在印度的销量突然飙升。随之而来的市场在竞争中蓬勃发展,市场领导者试图进一步加强自己的地位,新的参与者试图进入市场。本文试图通过联合分析来了解现有消费者对蓝牙耳机不同功能的偏好。分析结果为市场利益相关者提供了一个衡量标准,以指导他们的设计决策并制定可持续的长期商业战略。
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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来源期刊
Model Assisted Statistics and Applications
Model Assisted Statistics and Applications Mathematics-Applied Mathematics
CiteScore
1.00
自引率
0.00%
发文量
26
期刊介绍: Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.
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