1,682 research outputs found

    Innovative Fundraising: Crowdfunding Implementation Guide & Evaluation

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    This guide outlines the steps necessary to create a crowdfunding page aimed at diversifying funding streams

    Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach

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    Recent years have witnessed the increasing interests in research of crowdfunding mechanism. In this area, dynamics tracking is a significant issue but is still under exploration. Existing studies either fit the fluctuations of time-series or employ regularization terms to constrain learned tendencies. However, few of them take into account the inherent decision-making process between investors and crowdfunding dynamics. To address the problem, in this paper, we propose a Trajectory-based Continuous Control for Crowdfunding (TC3) algorithm to predict the funding progress in crowdfunding. Specifically, actor-critic frameworks are employed to model the relationship between investors and campaigns, where all of the investors are viewed as an agent that could interact with the environment derived from the real dynamics of campaigns. Then, to further explore the in-depth implications of patterns (i.e., typical characters) in funding series, we propose to subdivide them into fast-growing\textit{fast-growing} and slow-growing\textit{slow-growing} ones. Moreover, for the purpose of switching from different kinds of patterns, the actor component of TC3 is extended with a structure of options, which comes to the TC3-Options. Finally, extensive experiments on the Indiegogo dataset not only demonstrate the effectiveness of our methods, but also validate our assumption that the entire pattern learned by TC3-Options is indeed the U-shaped one

    Modularization of Crowdfunding Services – Designing Disruptive Innovations in the Banking Industry

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    Crowdfunding represents a disruptive innovation in the banking industry by enabling the exploitation of market segments. Incumbents struggle to utilize this new phenomenon as crowdfunding is based on modules that have not been considered relevant for banking so far. Nevertheless, crowdfunding services are not entirely new compared to traditional banking. We argue that the modular design enables a bank to utilize crowdfunding. Thus, we started an action research project in order to investigate how modularization enables a bank to design crowdfunding services. Findings so far led to the identification of ten preliminary crowdfunding services and their interconnection within an ecosystem. Our expected contribution will increase the understanding of crowdfunding services by bridging research on modularization, service ecosystems, and crowdfunding, and highlight the handling of disruptive innovations in an established industry. For practice, we provide a way of designing crowdfunding services in an efficient manner while building on already existing competencies

    The Mind Behind Crowdfunding: An Empirical Study of Speech Emotion in Fundraising Success

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    In online crowdfunding, individuals gather information from two primary sources, video pitches and text narratives. However, while the attributes of the attached video may have substantial effects on fundraising, previous literature has largely neglected effects of the video information. Therefore, this study focuses on speech information embedded in videos. Employing the machine learning techniques including speech recognition and linguistic style classifications, we examine the role of speech emotion and speech style in crowdfunding success, compared to that of text narratives. Using Kickstarter dataset in 2016, our preliminary results suggest that speech information –the linguistic styles– is significantly associated with the crowdfunding success, even after controlling for text and other project-specific information. More interestingly, linguistic styles of the speech have a more profound explanatory power than text narratives do. This study contributes to the growing body of crowdfunding research by providing the unexplored aspect of retrieving speech information from the video

    Crowdfunding: Perceptions of Campaign Success

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    Emotions and cognitive workload in economic decision processes - A NeuroIS Approach

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    The influence of cognitive and emotions on decision processes have been recently highlighted. Emotions interplay with the process of cognition, and determine decision processes. In this work, the role of external and internal influences on economic decision processes are studied. A NeuroIS method is applied for measuring emotions and cognitive workload. The lack of a suitable experimental platform for performing NeuroIS studies was recognized and the platform Brownie was developed and evaluated

    COMBINING NETWORK THEORY WITH CORPORATE GOVERNANCE: CONVERGING MODELS FOR CONNECTED STAKEHOLDERS

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    Traditional corporate governance patterns are based on the interaction among composite stakeholders and the various forms of separation between ownership and control. Stakeholders cooperate around the Coasian firm, represented by a nexus of increasingly complex contracts. These well-known occurrences have been deeply investigated by growing literature and nurtured by composite empirical evidence. Apparently unrelated network theory is concerned with the study of graphs as a representation of (a)symmetric relations between discrete objects (nodes connected by links). Network theory is highly interdisciplinary, and its versatile nature is fully consistent with the complex interactions of (networked) stakeholders, even in terms of game-theoretic patterns. The connection between traditional corporate governance issues and network theory properties is, however, still under-investigated. Hence the importance of an innovative reinterpretation that brings to \u201cnetwork governance\u201d. Innovation may, for instance, concern the principal-agent networked relationships and their conflicts of interest or the risk contagion and value drivers \u2013 three core governance issues. Networks and their applications (like blockchains, P2P platforms, game-theoretic interactions or digital supply chains) foster unmediated decentralization. In decentralized digital platforms, stakeholders inclusively interact, promoting cooperation and sustainability. To the extent that network properties can be mathematically measured, governance issues may be quantified and traced with recursive patterns of expected occurrences
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