Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining
Crowdfunding videos have become a crucial tool for entrepreneurs seeking financial support, with audio design playing a critical role in attracting potential investors. However, research on how audio features influence crowdfunding success remains limited. This study uses audio analysis techniques t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Journal of Theoretical and Applied Electronic Commerce Research |
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| Online Access: | https://www.mdpi.com/0718-1876/19/4/154 |
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| author | Miao Miao Yudan Wang Jingpeng Li Yushi Jiang Qiang Yang |
| author_facet | Miao Miao Yudan Wang Jingpeng Li Yushi Jiang Qiang Yang |
| author_sort | Miao Miao |
| collection | DOAJ |
| description | Crowdfunding videos have become a crucial tool for entrepreneurs seeking financial support, with audio design playing a critical role in attracting potential investors. However, research on how audio features influence crowdfunding success remains limited. This study uses audio analysis techniques to examine data from 4500 crowdfunding campaigns on the Kickstarter platform between 2013 and 2016, investigating the impact of audio features on crowdfunding success rates. Grounded in the signaling theory, we posited four hypotheses suggesting that speech rate, loudness, pitch, and emotional arousal would each exhibit an inverted U-shaped relationship with crowdfunding success rates. Through data analysis, we found that moderate levels of speech rate, loudness, pitch, and emotional arousal significantly enhanced crowdfunding success, whereas extremes in these vocal characteristics had a detrimental effect. Our findings not only extend the application of audio analysis in the crowdfunding domain, but also provide empirical evidence for the influence of audio features on crowdfunding success. This research offers practical guidance for project initiators in developing promotional strategies and for platforms in optimizing user experience. |
| format | Article |
| id | doaj-art-8bad2c6929aa44ccb8e6b76cf41c9928 |
| institution | DOAJ |
| issn | 0718-1876 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Theoretical and Applied Electronic Commerce Research |
| spelling | doaj-art-8bad2c6929aa44ccb8e6b76cf41c99282025-08-20T02:53:37ZengMDPI AGJournal of Theoretical and Applied Electronic Commerce Research0718-18762024-11-011943176319610.3390/jtaer19040154Audio Features and Crowdfunding Success: An Empirical Study Using Audio MiningMiao Miao0Yudan Wang1Jingpeng Li2Yushi Jiang3Qiang Yang4School of Economics and Management, Chengdu Normal University, Chengdu 610032, ChinaSchool of Business, Nanjing Audit University, Nanjing 210017, ChinaSchool of Economics and Management, Southwest Jiaotong University, Chengdu 610032, ChinaSchool of Economics and Management, Southwest Jiaotong University, Chengdu 610032, ChinaSchool of Business, Nanjing Audit University, Nanjing 210017, ChinaCrowdfunding videos have become a crucial tool for entrepreneurs seeking financial support, with audio design playing a critical role in attracting potential investors. However, research on how audio features influence crowdfunding success remains limited. This study uses audio analysis techniques to examine data from 4500 crowdfunding campaigns on the Kickstarter platform between 2013 and 2016, investigating the impact of audio features on crowdfunding success rates. Grounded in the signaling theory, we posited four hypotheses suggesting that speech rate, loudness, pitch, and emotional arousal would each exhibit an inverted U-shaped relationship with crowdfunding success rates. Through data analysis, we found that moderate levels of speech rate, loudness, pitch, and emotional arousal significantly enhanced crowdfunding success, whereas extremes in these vocal characteristics had a detrimental effect. Our findings not only extend the application of audio analysis in the crowdfunding domain, but also provide empirical evidence for the influence of audio features on crowdfunding success. This research offers practical guidance for project initiators in developing promotional strategies and for platforms in optimizing user experience.https://www.mdpi.com/0718-1876/19/4/154audio miningaudio featurescrowdfunding successsignal theory |
| spellingShingle | Miao Miao Yudan Wang Jingpeng Li Yushi Jiang Qiang Yang Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining Journal of Theoretical and Applied Electronic Commerce Research audio mining audio features crowdfunding success signal theory |
| title | Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining |
| title_full | Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining |
| title_fullStr | Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining |
| title_full_unstemmed | Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining |
| title_short | Audio Features and Crowdfunding Success: An Empirical Study Using Audio Mining |
| title_sort | audio features and crowdfunding success an empirical study using audio mining |
| topic | audio mining audio features crowdfunding success signal theory |
| url | https://www.mdpi.com/0718-1876/19/4/154 |
| work_keys_str_mv | AT miaomiao audiofeaturesandcrowdfundingsuccessanempiricalstudyusingaudiomining AT yudanwang audiofeaturesandcrowdfundingsuccessanempiricalstudyusingaudiomining AT jingpengli audiofeaturesandcrowdfundingsuccessanempiricalstudyusingaudiomining AT yushijiang audiofeaturesandcrowdfundingsuccessanempiricalstudyusingaudiomining AT qiangyang audiofeaturesandcrowdfundingsuccessanempiricalstudyusingaudiomining |