Strategy for Improving Crowdfunding Investments in Startup Business

Y. Pasmawati, A. Tontowi, B. Hartono, T. Wijayanto
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Abstract

Purpose: This research was conducted to analyze the extent to which online customer reviews (OCRs) can stimulate investment backers as a strategy to increase crowdfunding investment. Design / Method / Approach: This research is quantitative. Natural language processing (NLP) processes review text documents based on linguistic study, a lexicon-based method is used for sentiment analysis classification based on polarity score (pros and cons), while Multiple linear regression forms a model or relationship between online customer reviews and crowdfunding investments. OCRs consisting of numeric and text features were collected from one hundred technology products (3D printing, drones, cameras, wearables) on Kickstarter.com. Findings: The study results show that, in addition to positive reviews, the number of comments and the number of sentiment reviews can increase consumer interest in investing in technology products on the crowdfunding platform. Moreover, positive reviews have the most positive effect on crowdfunding investments. Practical Implications: The study results are expected to be used for startup business, especially technology products as a strategy to increase funding investment on a reward-based crowdfunding platform. Startups can take advantage of online customer reviews as one of important factors in stimulating potential backers and backers to invest. Social implications: The strategy of utilizing online customer reviews can be used especially for technology product-based startup business to get funding support as a resource in completing a product development stage. Originality / Value: The novelty of this research is that it focuses on a technological product development stage, product campaigns on a reward-based crowdfunding platform, considering online customer reviews through sentimental (online reviews) and numerical characteristics (number of comments, number of sentiment reviews) simultaneously as a strategy to increase investment. Research Limitations / Future Research: This study has some limitations as it used only online customer reviews as an attribute that affects crowdfunding investment. Future research is expected to explore online customer reviews to determine important attributes (unique words) as consideration for strategies to increase crowdfunding investment. Paper type: Empirical
提高创业众筹投资的策略
目的:本研究旨在分析在线客户评论(OCR)在多大程度上可以刺激投资支持者,以此作为增加众筹投资的策略。设计/方法/方法:这项研究是定量的。自然语言处理(NLP)在语言学研究的基础上处理评论文本文档,基于词汇的方法用于基于极性得分(利弊)的情感分析分类,而多元线性回归形成了在线客户评论和众筹投资之间的模型或关系。从Kickstarter.com上的100种科技产品(3D打印、无人机、相机、可穿戴设备)中收集了由数字和文本特征组成的OCR。研究结果表明,除了正面评价外,评论数量和情感评价数量还可以增加消费者在众筹平台上投资科技产品的兴趣。此外,正面评价对众筹投资的影响最大。实际意义:该研究结果有望用于初创企业,尤其是科技产品,作为增加基于奖励的众筹平台资金投资的策略。初创企业可以利用在线客户评论作为激励潜在支持者和支持者投资的重要因素之一。社会影响:利用在线客户评论的策略可以特别用于基于技术产品的初创企业,以获得资金支持作为完成产品开发阶段的资源。创意/价值:这项研究的新颖之处在于,它关注的是技术产品开发阶段,基于奖励的众筹平台上的产品活动,同时通过情感(在线评论)和数字特征(评论数量、情感评论数量)考虑在线客户评论,以此作为增加投资的策略。研究局限性/未来研究:这项研究有一些局限性,因为它只使用在线客户评论作为影响众筹投资的属性。未来的研究预计将探索在线客户评论,以确定重要属性(独特词语),作为增加众筹投资策略的考虑因素。论文类型:实证
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