How to create an engagement-friendly environment in reward-based crowdfunding?

IF 0.5 Q4 ECONOMICS
Marcin Bielicki, Rafał Rydzewski
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引用次数: 1

Abstract

Abstract Crowdfunding appears to be an innovative way of fundraising various projects. Although it is a relatively new and unique way of financing, competition for potential backers increases every year. While recent works have explored the role of engagement and involvement in crowdfunding, there is still a lack of understanding of how creators can stimulate backers’ activity. Therefore the aim of this paper is to identify and classify the methods used for crowdfunding by the top creators to boost and maintain backer engagement. Drawing from the Theoretical Model of Customer Engagement and Theory of Intrinsically Motivating Instruction, we propose a theoretical model that is backer engagement-based. It presents the unique role of involvement and participation in engagement and its interrelationship with value and community involvement. We investigate the top 30 most funded campaigns on Kickstarter in the tabletop games category. Based on our cross-case study, we identify and categorise tactics that create engagement-friendly environments. Our findings suggest that over time creators tend to focus on shorter but more dynamic campaigns with the higher engagement of backers. The creators of the best campaigns use similar tactics that affect both engagement and involvement. The important but often ignored factor that influences engagement is social interaction.
如何在奖励众筹中创造一个参与友好的环境?
众筹是一种创新的项目融资方式。尽管这是一种相对较新的、独特的融资方式,但争夺潜在投资者的竞争每年都在加剧。虽然最近的作品探索了参与和参与众筹的作用,但仍然缺乏对创作者如何激发支持者活动的理解。因此,本文的目的是识别和分类顶级创作者用于众筹的方法,以促进和保持支持者的参与。借鉴顾客参与理论模型和内在激励教学理论,提出了一个基于支持者参与的理论模型。它展示了参与和参与在参与中的独特作用及其与价值和社区参与的相互关系。我们调查了Kickstarter上筹资最多的30个桌面游戏类活动。基于我们的交叉案例研究,我们确定并分类了创造用户粘性友好环境的策略。我们的研究结果表明,随着时间的推移,创作者倾向于专注于更短但更具活力的活动,并获得更高的支持者参与度。最佳活动的创造者使用类似的策略来影响用户粘性和参与度。影响用户粘性的一个重要但经常被忽视的因素是社交互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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