Project description and crowdfunding success: an exploratory study

被引:0
|
作者
Mi (Jamie) Zhou
Baozhou Lu
Weiguo (Patrick) Fan
G. Alan Wang
机构
[1] Virginia Polytechnic Institute and State University,Pamplin College of Business
[2] China University of Petroleum,School of Economics & Management
来源
关键词
Crowdfunding; Content analysis; Persuasion; Empirical study; Predictive model;
D O I
暂无
中图分类号
学科分类号
摘要
Existing research on antecedent of funding success mainly focuses on basic project properties such as funding goal, duration, and project category. In this study, we view the process by which project owners raise funds from backers as a persuasion process through project descriptions. Guided by the unimodel theory of persuasion, this study identifies three exemplary antecedents (length, readability, and tone) from the content of project descriptions and two antecedents (past experience and past expertise) from the trustworthy cue of project descriptions. We then investigate their impacts on funding success. Using data collected from Kickstarter, a popular crowdfunding platform, we find that these antecedents are significantly associated with funding success. Empirical results show that the proposed model that incorporated these antecedents can achieve an accuracy of 73 % (70 % in F-measure). The result represents an improvement of roughly 14 percentage points over the baseline model based on informed guessing and 4 percentage points improvement over the mainstream model based on basic project properties (or 44 % improvement of mainstream’s performance over informed guessing). The proposed model also has superior true positive and true negative rates. We also investigate the timeliness of project data and find that old project data is gradually becoming less relevant and losing predictive power to newly created projects. Overall, this study provides evidence that antecedents identified from project descriptions have incremental predictive power and can help project owners evaluate and improve the likelihood of funding success.
引用
收藏
页码:259 / 274
页数:15
相关论文
共 50 条
  • [31] Feature subset selection for predicting the success of crowdfunding project campaigns
    Ryoba, Michael J.
    Qu, Shaojian
    Zhou, Yongyi
    [J]. ELECTRONIC MARKETS, 2021, 31 (03) : 671 - 684
  • [32] Feature subset selection for predicting the success of crowdfunding project campaigns
    Michael J. Ryoba
    Shaojian Qu
    Yongyi Zhou
    [J]. Electronic Markets, 2021, 31 : 671 - 684
  • [33] The role of project owners' and potential backers' implicit social ties in crowdfunding project success
    Gupta, Jayesh Prakash
    Li, Hongxiu
    Karkkainen, Hannu
    Mukkamala, Raghava Rao
    [J]. INTERNET RESEARCH, 2023, 34 (07) : 1 - 23
  • [34] CROWDFUNDING: THE MODERATING ROLE OF THE FUNDING GOAL ON FACTORS INFLUENCING PROJECT SUCCESS
    Pinkow, Felix
    Emmerich, Philip
    [J]. PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE INNOVATION MANAGEMENT, ENTREPRENEURSHIP AND SUSTAINABILITY (IMES 2020), 2020, : 506 - 520
  • [35] Green Crowdfunding: An Empirical Study of Success Factors
    Corsini, Filippo
    Appio, Francesco P.
    Frey, Marco
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2024, 71 : 7654 - 7668
  • [36] SUCCESS PREDICTION OF CROWDFUNDING CAMPAIGNS WITH PROJECT NETWORK: A MACHINE LEARNING APPROACH
    Zhong, Chao
    Xu, Wei
    Du, Wei
    [J]. JOURNAL OF ELECTRONIC COMMERCE RESEARCH, 2022, 23 (02): : 99 - 114
  • [37] The influence of narrative description on the success of crowdfunding campaigns: The moderating role of quality signals
    Tajvarpour, Mohammad Hossein
    Pujari, Devashish
    [J]. JOURNAL OF BUSINESS RESEARCH, 2022, 149 : 123 - 138
  • [38] The Language of Crowdfunding: An Exploratory Study of Entrepreneurial and Other Campaigns
    Gerstner, Tara
    Taylor, Kevin P. P.
    Moon, Leigh
    Butski, Noelle
    [J]. INTERNATIONAL JOURNAL OF BUSINESS COMMUNICATION, 2024, 61 (03) : 549 - 572
  • [39] CROWDFUNDING SUCCESS PREDICTION USING PROJECT TITLE IMAGE AND CONVOLUTIONAL NEURAL NETWORK
    Saric, Matko
    Saric, Marija Simic
    [J]. INTERDISCIPLINARY DESCRIPTION OF COMPLEX SYSTEMS, 2023, 21 (06) : 631 - 639
  • [40] Innovation and knowledge sharing in crowdfunding: how social dynamics affect project success
    Leone, Daniele
    Schiavone, Francesco
    [J]. TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2019, 31 (07) : 803 - 816