Difference between revisions of "Balducci (2009)"
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|Abstract=Using survey data on cultural consumption by about 650 university students, this article proposes a market segmentation and some "rule-of-thumb" managerial implications for the music industry. The aim is to show how technological innovation impacts on the structure of consumer preferences. Consumption behaviours, listening habits and musical preferences are explained by a large number of variables. Nevertheless it is possible to reduce this overload of information into two common factors (using "factor analysis"). "Cluster analysis" is accordingly used to group the students-consumers. The findings are then deepened in light of an econometric analysis. The analysis shows that the new digital technologies (for example "file sharing") may be harmful for the music industry only within one specific group of consumers. New technologies can instead promote music consumption (especially of live music) by the other categories of consumers. By investing in music knowledge and enjoyment, it is possible to induce consumers to buy digital music legally from authorized sites. | |Abstract=Using survey data on cultural consumption by about 650 university students, this article proposes a market segmentation and some "rule-of-thumb" managerial implications for the music industry. The aim is to show how technological innovation impacts on the structure of consumer preferences. Consumption behaviours, listening habits and musical preferences are explained by a large number of variables. Nevertheless it is possible to reduce this overload of information into two common factors (using "factor analysis"). "Cluster analysis" is accordingly used to group the students-consumers. The findings are then deepened in light of an econometric analysis. The analysis shows that the new digital technologies (for example "file sharing") may be harmful for the music industry only within one specific group of consumers. New technologies can instead promote music consumption (especially of live music) by the other categories of consumers. By investing in music knowledge and enjoyment, it is possible to induce consumers to buy digital music legally from authorized sites. | ||
|Authentic Link=http://www.rivisteweb.it/doi/10.1427/30395 | |Authentic Link=http://www.rivisteweb.it/doi/10.1427/30395 | ||
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|FundamentalIssue=4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption), | |FundamentalIssue=4. Effects of protection on industry structure (e.g. oligopolies; competition; economics of superstars; business models; technology adoption), | ||
|EvidenceBasedPolicy=A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right), | |EvidenceBasedPolicy=A. Nature and Scope of exclusive rights (hyperlinking/browsing; reproduction right), |
Revision as of 20:35, 5 October 2016
Contents
Source Details
Balducci (2009) | |
Title: | Music or hi-tech lovers? Inferring into the determinants of music consumption |
Author(s): | Balducci, F. |
Year: | 2009 |
Citation: | Balducci, F. (2009). Music or hi-tech lovers? Inferring into the determinants of music consumption. Rivista italiana degli economisti, 14(2), 361-0. |
Link(s): | Definitive |
Key Related Studies: | |
Discipline: | |
Linked by: |
About the Data | |
Data Description: | |
Data Type: | Primary data |
Secondary Data Sources: | |
Data Collection Methods: | |
Data Analysis Methods: | |
Industry(ies): | |
Country(ies): | |
Cross Country Study?: | No |
Comparative Study?: | No |
Literature review?: | No |
Government or policy study?: | No |
Time Period(s) of Collection: | |
Funder(s): |
Abstract
Using survey data on cultural consumption by about 650 university students, this article proposes a market segmentation and some "rule-of-thumb" managerial implications for the music industry. The aim is to show how technological innovation impacts on the structure of consumer preferences. Consumption behaviours, listening habits and musical preferences are explained by a large number of variables. Nevertheless it is possible to reduce this overload of information into two common factors (using "factor analysis"). "Cluster analysis" is accordingly used to group the students-consumers. The findings are then deepened in light of an econometric analysis. The analysis shows that the new digital technologies (for example "file sharing") may be harmful for the music industry only within one specific group of consumers. New technologies can instead promote music consumption (especially of live music) by the other categories of consumers. By investing in music knowledge and enjoyment, it is possible to induce consumers to buy digital music legally from authorized sites.
Main Results of the Study
Policy Implications as Stated By Author
Coverage of Study
Datasets
Sample size: | 650 |
Level of aggregation: | University students |
Period of material under study: |