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Predictive Analysis of Music Preferences of Indian Customers Based on their Personality:A Mixed Method Approach


Affiliations
1 Symbiosis Centre for Management and Human Resource Development, Symbiosis Infotech Campus, Hinjewadi, Pune, Maharashtra, India
2 Bridgei2i Analytics Solutions Private Limited, India
3 Amity Business School, Amity University, Uttar Pradesh, India
4 Jyoti Vidyapeeth Women’s University, Jaipur, Rajasthan, India
     

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The current paper examines the music preferences of Indian customers across the Bollywood music industry based on their personality. The sample size of the study was 258 music listeners within the age group of 20-28. The data was collected using a face to face survey that explored the demographics, personality traits and music preferences of the respondents. The personality traits used in the study were mapped with the Big Five (OCEAN) personality traits and the music preferences were captured on a 5 pointer likert scale for different kinds of music clips (classified using MUSIC model). The sample was divided into two sub samples train and tested randomly using Exploratory Factor Analysis on the train sample, as a result of which 5 factor model was validated in the present context. The preference for the different genres from the MUSIC model was analyzed with respect to the Big Five (OCEAN) personality traits using ANOVA technique. The study is significant for the practitioners of the Bollywood music industry as it exhibits the relationship between the personality traits and the music preferences of the Indian customers. The composers can use the knowledge in designing the appropriate music type for their targeted audiences and vice versa.

Keywords

Bollywood, Music, Personality, Customer.
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  • Predictive Analysis of Music Preferences of Indian Customers Based on their Personality:A Mixed Method Approach

Abstract Views: 297  |  PDF Views: 1

Authors

Sakshi Saxena
Symbiosis Centre for Management and Human Resource Development, Symbiosis Infotech Campus, Hinjewadi, Pune, Maharashtra, India
Namit Mehta
Bridgei2i Analytics Solutions Private Limited, India
Komal Malik
Amity Business School, Amity University, Uttar Pradesh, India
Nidhi Nagar
Jyoti Vidyapeeth Women’s University, Jaipur, Rajasthan, India

Abstract


The current paper examines the music preferences of Indian customers across the Bollywood music industry based on their personality. The sample size of the study was 258 music listeners within the age group of 20-28. The data was collected using a face to face survey that explored the demographics, personality traits and music preferences of the respondents. The personality traits used in the study were mapped with the Big Five (OCEAN) personality traits and the music preferences were captured on a 5 pointer likert scale for different kinds of music clips (classified using MUSIC model). The sample was divided into two sub samples train and tested randomly using Exploratory Factor Analysis on the train sample, as a result of which 5 factor model was validated in the present context. The preference for the different genres from the MUSIC model was analyzed with respect to the Big Five (OCEAN) personality traits using ANOVA technique. The study is significant for the practitioners of the Bollywood music industry as it exhibits the relationship between the personality traits and the music preferences of the Indian customers. The composers can use the knowledge in designing the appropriate music type for their targeted audiences and vice versa.

Keywords


Bollywood, Music, Personality, Customer.

References