Music streaming services: understanding the drivers of customer purchase and intention to recommend
The music industry has undergone tremendous changes in relation to its production, distribution, and consumption habits due to the exponential development of new technologies, namely streaming platforms. The fact that sales of physical copies continue to decline significantly made it mandatory for t...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-08-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844021018867 |
id |
doaj-5d1b04dda7414d8a81def93f364ad062 |
---|---|
record_format |
Article |
spelling |
doaj-5d1b04dda7414d8a81def93f364ad0622021-09-01T12:17:25ZengElsevierHeliyon2405-84402021-08-0178e07783Music streaming services: understanding the drivers of customer purchase and intention to recommendMariana Lopes Barata0Pedro Simões Coelho1NOVA IMS, Universidade Nova de Lisboa, PortugalCorresponding author.; NOVA IMS, Universidade Nova de Lisboa, PortugalThe music industry has undergone tremendous changes in relation to its production, distribution, and consumption habits due to the exponential development of new technologies, namely streaming platforms. The fact that sales of physical copies continue to decline significantly made it mandatory for this industry to reinvent itself by introducing music streaming services as a key part of its business development. This study aims to understand the factors that influence music consumption through streaming platforms, particularly studying the intention to adopt premium (paid) versions of a music streaming service and recommend them. An extension of the UTAUT2 model (version of the Unified Theory of Acceptance and Use of Technology, applied to the consumer side) was created. Based on data collected from 324 music streaming services users, the framework of this study was tested using structural equation modelling (SEM). Research also included in-depth semi-structured interviews in order to generate a more profound knowledge about the profile, behaviours and motivations of the new music consumer. Our findings confirm that habit, performance expectancy and price value play the most important role in influencing the intention to use a paid music streaming service. Simultaneously, new dimensions such as personalisation, attitude towards piracy and perceived freemium-premium fit arise as having an additional relevant role in adopting this type of service. The research contributes insights into music streaming services consumer behaviour, providing several theoretical and practical implications to music streaming services providers.http://www.sciencedirect.com/science/article/pii/S2405844021018867AdoptionCustomer purchaseIntention to recommendSEMMusic streaming services |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mariana Lopes Barata Pedro Simões Coelho |
spellingShingle |
Mariana Lopes Barata Pedro Simões Coelho Music streaming services: understanding the drivers of customer purchase and intention to recommend Heliyon Adoption Customer purchase Intention to recommend SEM Music streaming services |
author_facet |
Mariana Lopes Barata Pedro Simões Coelho |
author_sort |
Mariana Lopes Barata |
title |
Music streaming services: understanding the drivers of customer purchase and intention to recommend |
title_short |
Music streaming services: understanding the drivers of customer purchase and intention to recommend |
title_full |
Music streaming services: understanding the drivers of customer purchase and intention to recommend |
title_fullStr |
Music streaming services: understanding the drivers of customer purchase and intention to recommend |
title_full_unstemmed |
Music streaming services: understanding the drivers of customer purchase and intention to recommend |
title_sort |
music streaming services: understanding the drivers of customer purchase and intention to recommend |
publisher |
Elsevier |
series |
Heliyon |
issn |
2405-8440 |
publishDate |
2021-08-01 |
description |
The music industry has undergone tremendous changes in relation to its production, distribution, and consumption habits due to the exponential development of new technologies, namely streaming platforms. The fact that sales of physical copies continue to decline significantly made it mandatory for this industry to reinvent itself by introducing music streaming services as a key part of its business development. This study aims to understand the factors that influence music consumption through streaming platforms, particularly studying the intention to adopt premium (paid) versions of a music streaming service and recommend them. An extension of the UTAUT2 model (version of the Unified Theory of Acceptance and Use of Technology, applied to the consumer side) was created. Based on data collected from 324 music streaming services users, the framework of this study was tested using structural equation modelling (SEM). Research also included in-depth semi-structured interviews in order to generate a more profound knowledge about the profile, behaviours and motivations of the new music consumer. Our findings confirm that habit, performance expectancy and price value play the most important role in influencing the intention to use a paid music streaming service. Simultaneously, new dimensions such as personalisation, attitude towards piracy and perceived freemium-premium fit arise as having an additional relevant role in adopting this type of service. The research contributes insights into music streaming services consumer behaviour, providing several theoretical and practical implications to music streaming services providers. |
topic |
Adoption Customer purchase Intention to recommend SEM Music streaming services |
url |
http://www.sciencedirect.com/science/article/pii/S2405844021018867 |
work_keys_str_mv |
AT marianalopesbarata musicstreamingservicesunderstandingthedriversofcustomerpurchaseandintentiontorecommend AT pedrosimoescoelho musicstreamingservicesunderstandingthedriversofcustomerpurchaseandintentiontorecommend |
_version_ |
1721182762363256832 |