How do technology ventures signal IPO quality? A configurational approach
| Autor: | Taiyuan Wang, Israr Qureshi, David L. Deeds, Yi Ren |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Marketing
Qualitative comparative analysis media_common.quotation_subject 05 social sciences Fuzzy set SIGNAL (programming language) Technology development Information asymmetry Capital (economics) 0502 economics and business 050211 marketing Quality (business) Business Initial public offering 050203 business & management Industrial organization media_common |
| Zdroj: | Journal of Business Research. 99:105-114 |
| ISSN: | 0148-2963 |
| DOI: | 10.1016/j.jbusres.2019.01.039 |
| Popis: | This study examines how quality signals sent by technology ventures jointly affect investors' decisions under information asymmetry. We categorize signal contents as concerning technology development, venture officers, or early investors. Because similar information may not much reduce information asymmetry, different signals of the same content substitute for one another in enabling ventures to raise capital in their initial public offerings (IPOs). In contrast, signals of different contents collectively reduce information asymmetry, and thus complement each other. Furthermore, public investors may be more capable of assessing, and therefore give more weight to, signals based on the abilities and commitment of venture officers and early investors than to signals based on the viability and appropriability of technology development. We employ fuzzy set qualitative comparative analysis (fsQCA) and find evidence for these mechanisms from data on 268 IPOs of biotechnology ventures in the United States. |
| Databáze: | OpenAIRE |
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