{"title":"How to create an engagement-friendly environment in reward-based crowdfunding?","authors":"Marcin Bielicki, Rafał Rydzewski","doi":"10.2478/ceej-2022-0003","DOIUrl":null,"url":null,"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.","PeriodicalId":9951,"journal":{"name":"Central European Journal of Economic Modelling and Econometrics","volume":"103 1","pages":"38 - 55"},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Economic Modelling and Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ceej-2022-0003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
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.
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.