Kumar Abhinandan Sood, Aditi K. Darekar, Prabhat Mishra, Barsharani Maharana, S. Kumar
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“Feel the decibels closely”: Earphones preference study using conjoint analysis
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.
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.