A configurative analysis investigating how new technology-based firms gain the first financing round

IF 0.8 4区 经济学 Q3 ECONOMICS
Carmine Passavanti, Simonetta Primario, Pierluigi Rippa
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引用次数: 0

Abstract

New technology-based firms (NTBFs) present high levels of information asymmetry since knowledge base, the intangibility of assets, and appropriability issues are particularly pronounced. Investors experiment with difficulties in evaluating the quality of NTBFs and look into insights representing the venture's promises and outlooks, and NTBFs need to face limited financing opportunities. Therefore, information asymmetries and moral hazards may influence the financing system of NTBFs. Based on the signaling theory, we propose a configurative approach built on five accessible signals (founders’ education and work experiences, property rights, alliances, and size) to identify combinations of signals conducive to the NTBF reaching a first financial round. By adopting a configurative approach through the qualitative comparative analysis, we advance our understanding of the intricate dynamics between NTBFs and investors, shedding light on the complexity and interplay of various factors influencing the financing outcomes.

Abstract Image

新技术型企业如何获得首轮融资的配置分析
新技术型企业(NTBFs)由于知识基础、资产的无形性和可挪用性等问题尤为突出,因此信息不对称程度很高。投资者很难评估新技术企业的质量,也很难深入了解企业的承诺和前景,新技术企业需要面对有限的融资机会。因此,信息不对称和道德风险可能会影响非国有企业的融资体系。基于信号理论,我们提出了一种基于五种可获取信号(创始人的教育和工作经历、产权、联盟和规模)的配置方法,以识别有利于非国有商业基金达成首轮融资的信号组合。通过定性比较分析采用配置方法,我们加深了对非营利性商业基金与投资者之间错综复杂的动态关系的理解,揭示了影响融资结果的各种因素的复杂性和相互作用。
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
33
期刊介绍: Journal of Economic Interaction and Coordination addresses the vibrant and interdisciplinary field of agent-based approaches to economics and social sciences. It focuses on simulating and synthesizing emergent phenomena and collective behavior in order to understand economic and social systems. Relevant topics include, but are not limited to, the following: markets as complex adaptive systems, multi-agents in economics, artificial markets with heterogeneous agents, financial markets with heterogeneous agents, theory and simulation of agent-based models, adaptive agents with artificial intelligence, interacting particle systems in economics, social and complex networks, econophysics, non-linear economic dynamics, evolutionary games, market mechanisms in distributed computing systems, experimental economics, collective decisions. Contributions are mostly from economics, physics, computer science and related fields and are typically based on sound theoretical models and supported by experimental validation. Survey papers are also welcome. Journal of Economic Interaction and Coordination is the official journal of the Association of Economic Science with Heterogeneous Interacting Agents. Officially cited as: J Econ Interact Coord
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