Exploring the Impact of Music on Mood and Consumer Behavior: A Gender and Age - Based Analysis

Authors

  • Hetvi Patel Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Bhavik Khakhar Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Ram Barvaliya Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Rahul Chauhan Unitedworld Institute of Management, Karnavati University, Gandhinagar, India
  • Andino Maseleno Department of Information Systems, Institut Bakti Nusantara, Lampung, Indonesia
  • R Rizal Isnanto Department of Computer Engineering, Diponegoro University, Semarang, Indonesia

Keywords:

Demographic factors, music preferences, music therapy

Abstract

This study explores the relationship between demographic factors—age and gender - and music preferences among a sample of 167 individuals. The analysis reveals a predominantly young population, primarily students, indicating significant implications for understanding music's role in mental health and therapeutic applications. ANOVA results show that Relax Music and Sad Motion exhibit significant differences across age groups, while the Sad Genre and Lyrics Effect reveal significant variations by gender. These findings highlight the importance of tailoring music interventions to specific demographic characteristics. Future research should investigate additional demographic factors and employ longitudinal approaches to deepen insights. This study contributes to the global discourse on music therapy, emphasizing music's potential as a transformative tool for emotional well-being.

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Published

2024-03-31

How to Cite

Patel, H., Khakhar, B., Barvaliya, R., Chauhan, R., Maseleno, A., & Rizal Isnanto, R. (2024). Exploring the Impact of Music on Mood and Consumer Behavior: A Gender and Age - Based Analysis. Siber Journal of Advanced Multidisciplinary, 1(4), 214–224. Retrieved from https://research.e-siber.org/SJAM/article/view/294

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Vol. 1 No. 4 (2024): (SJAM) Siber Journal of Advanced Multidisciplinary (January - March 2024)

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Copyright (c) 2024 Hetvi Patel, Bhavik Khakhar, Ram Barvaliya, Rahul Chauhan, Andino Maseleno, R Rizal Isnanto

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