Digitally forecasting new music product success via active crowdsourcing-Reference-Cited by-同舟云学术

Digitally forecasting new music product success via active crowdsourcing

Published:2019-09 Issue: Volume:146 Page:167-180
ISSN:0040-1625
Container-title:Technological Forecasting and Social Change
language:en
Short-container-title:Technological Forecasting and Social Change

Author:

Steininger Dennis M.^ORCID,Gatzemeier Simon

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Applied Psychology,Business and International Management

Reference123 articles.

1. A cultural globalization of popular music? American, Dutch, French, and German popular music charts (1965 to 2006);Achterberg;Am. Behav. Sci.,2011

2. An integrated model of attitude and affect;Agarwal;J. Bus. Res.,2005

3. Streaming reaches flood stage: does Spotify stimulate or depress music sales? (NBER working paper no. 21653);Aguiar;National Bureau of Economic Research,2015

4. “Will this record work for us?”: managing music formats in commercial radio;Ahlkvist;Qual. Sociol.,2002

5. The theory of planned behavior;Ajzen;Organ. Behav. Hum. Decis. Process.,1991

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