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- W4385220249 abstract "In recent years, angel investment intention has become an important topic in entrepreneurship research. However, most of the existing studies explore the differences between investor groups based on the nature of identity, and the analysis of individual investment style differences is not sufficient. In addition, previous studies focused on the impact of entrepreneurs' initiative on financing access, ignoring the objective characteristics of entrepreneurial projects. To address this gap, we adopt the perspective of institutional logic to investigate angel investor classification. Specifically speaking, we probe into the mechanism of the entrepreneurial projects’ objective characteristics on angel investment intention under different decision logics, in virtue of machine learning clustering and predicting algorithm for data mining. Based on the above efforts, we expand the research on the micro-process of institutional logic and the conclusions have certain guiding significance for entrepreneurs, investors, and angel investment platforms." @default.
- W4385220249 created "2023-07-25" @default.
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- W4385220249 date "2023-08-01" @default.
- W4385220249 modified "2023-09-27" @default.
- W4385220249 title "Institutional Logics of Investment Decision: Analysis of Angel Investment Strategy Based on ML" @default.
- W4385220249 doi "https://doi.org/10.5465/amproc.2023.17624abstract" @default.
- W4385220249 hasPublicationYear "2023" @default.
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