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Despite the growing research exploring the possibility and feasibility of financing socially oriented projects through crowdfunding, relatively little research examines which crowdfunding model is better to serve such purpose. The purpose of this paper is to offer novel insights to mitigate this research gap.

A unique data set collected from the largest Chinese crowdfunding platform is used to test the hypotheses. To solve the perceived self-selection problem, the propensity score matching method is adopted in this paper. Based on this approach, the results of similar prosocial campaigns in two different models (pure donation and hybrid donation) are compared.

The empirical results show that the hybrid donation model is negatively associated with the status of success and the extent of success of prosocial campaigns. Specifically, compared to the pure donation model, hybrid donation model leads to a lower probability of success, fewer contributors, a lower funding amount and a lower completion ratio.

The paper contributes to a relatively understudied theme in crowdfunding, namely, donations. It does so by introducing the concepts of pure vs hybrid donation models and investigates the model selection problem in financing social projects through crowdfunding based on cognitive evaluation theory.

Prosocial lending in online crowdfunding has flourished in recent years, and it has become a new way to fundraise for philanthropy. However, there is almost a 70% user attrition rate in crowdfunding. The purpose of this study is to understand what the lender’s lending experience and social connection influence lender retention of online prosocial lending from a self-determination perspective.

Drawing on self-determination theory (SDT), this research utilizes a quantifiable method for factors of the lender's lending experience and social connection. Additionally, the research constructs economic models to explore the impacts of these factors acting as the necessary conditions for basic psychological needs on lender retention, using a large-scale sample of over 380,000 lenders from Kiva.

The results indicate that, from the lender's lending experience aspect, the loan narratives with more profit language in the last lending and the failure of past participation are negatively related to lender retention. Regarding the lender's social connection aspect, their friends or small lending teams are positively related to lender retention, while whether they are invited and lending team size show negative influence. Furthermore, results indicate the moderating effects of the disclosure of lending motivation.

This research explores the mechanism of lender retention of online prosocial lending, providing a self-determination perspective about how previous experience influences long-term lending behavior. The study offers significant implications for the literature on online philanthropy, SDT and user retention of online platforms. At the same time, the study provides an understanding of the effects of different aspects of SDT.

Beneficiary photos on charity appeals are believed to engender prosocial behavior. This study explores photo framing of healthy and unhealthy beneficiary photos in the context of photo-rich online medical crowdfunding. Based on framing theory, emphasis framing effect (i.e. unhealthy photos only vs both healthy and unhealthy photos) and equivalency framing effect (i.e. healthy photos prior to unhealthy photos vs unhealthy photos prior to healthy photos) are identified.

A scenario-based experiment with 135 participants was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to three treatment groups, with 45 subjects in each group. ANOVA, linear regression, and multiple mediation analysis were used to analysis data.

The results reveal that disclosing both healthy and unhealthy photos can elicit stronger sympathy and perceived need than merely disclosing unhealthy photos. Moreover, the order of unhealthy photos prior to healthy photos leads to a higher level of sympathy than the order of healthy photos prior to unhealthy photos. Furthermore, sympathy and perceived need are positively related to donation intention.

First, this study extends the photo-related research limited to certain characteristics of a single photo to the sequence effect of multiple photos. Second, this study contributes to framing theory by introducing photo framing, particularly the equivalence and emphasis framing effect of beneficiary photos. Finally, this study reveals the emotional and cognitive routes through which beneficiary photos stimulate prosocial behavior. It also offers practical guidance in the aspects of the framing effect of beneficiary photos for crowdfunding management.

Despite the critical contribution of serial backers in advancing crowdfunding volumes, few studies have addressed the phenomenon of serial backing. Research on the motivations of backers suggests that cognitive antecedents influence pledging in crowdfunding projects according to the theory of planned behavior. However, intrinsic factors associated with different dimensions of well-being may also explain crowdfunding support. This study seeks to advance the understanding of drivers of serial backing by combining the theory of planned behavior and the theory of well-being.

The study draws on survey data from 336 serial backers, complemented by objective data on the number of campaigns and amounts invested by backers from Headstart, the largest crowdfunding platform in Israel. The research model is tested using structural equation modeling.

The findings indicate that the well-being of serial backers mediates the impact of attitude, subjective norms and social norms on their loyalty. However, while loyalty can be explained by elements of both theories, it does not translate into actual serial backing behavior.

This study is the first to systematically explore serial backers' motivations in crowdfunding and the influence of these motivations on their actual behavior. It combines two previously separate theories, the theory of planned behavior and the theory of well-being.

The purpose of this paper is to provide insight into the effectiveness of cognitive and emotional appeals to mobilize resources in prosocial crowdfunding settings that combine the creation of economic and social value.

The authors quantitatively measure the effectiveness of cognitive and emotional appeals in the entrepreneurial narratives of 2,098 entrepreneurs from 55 countries shared via the Kiva platform by performing multiple regression analysis.

The findings suggest that using cognitive appeals can attract more resources than using emotional appeals. In fact, using affective language in general, and negative emotion words specifically, can be detrimental and attract fewer resources.

The authors contribute to the entrepreneurship and social entrepreneurship literature by linking insights from the Elaboration Likelihood Model (ELM) of persuasion and motivational framing to understand resource mobilization in prosocial settings. This study demonstrates that cognitive and emotional appeals could lead to different outcomes in contexts where entrepreneurial narratives are all framed as “doing good” and individuals allocating resources are highly socially motivated.

Extant literature on entrepreneurship highlights the importance of the entrepreneurs' social network in mobilizing resources for their ventures. Over the last few years, entrepreneurial crowdfunding opportunities have become a subject of growing research interest as it acts as a tool to mobilize financial resources. However, many of these studies are limited within the scope of new ventures, creative industries, and commercial entrepreneurship. In this study, we examine crowdfunding within the context of social entrepreneurship in order to gain a deeper understanding of the motivation and the characteristics of the pool of individuals that contribute to social entrepreneurial crowdfunding. Data for this study have been collected from four cases of social entrepreneurial crowdfunding campaigns. The campaigners, who raised the funds in France for social ventures based in India, shared their knowledge of 157 individuals that contributed to their crowdfunding campaign. The findings inform that crowdfunders mainly originate from the crowdfunding campaigner's helper network, such as family, friends, and colleagues. A small percentage were also acquaintances and strangers. This network of individuals was motivated to support the campaigner achieve her/his goal or was attracted to the social cause that triggered them in creating a social impact. Moreover, the crowdfunders were generally open-minded and well-traveled individuals accustomed to participating in social and voluntary activities. Our study reveals that some members of the helper network are likely to disappoint by not supporting the crowdfunding campaign, thus emphasizing a twist to the existing literature on entrepreneurship. This has practical implications that prompt social entrepreneurs to exercise their social capital, networking skills, and communication strategies to attract and expand their community of helpers in order to trigger individuals from both their helper network as well as individuals outside their current network toward crowdfunding.

With the increasing use of crowdfunding platforms in raising funds, it has become an important and oft-researched topic to analyze the critical factors associated with successful or failed crowdfunding. However, as a major subject of crowdfunding, medical crowdfunding has received much less scholarly attention. The purpose of this paper is to explore how contingency factors combine and casually connect in determining the success or failure of medical crowdfunding projects based on signal theory.

The paper adopts the crisp-set qualitative comparative analysis to analyze the causal configurations of 200 projects posted on a leading medical crowdfunding platform in China “Tencent Donation.” Five anecdotal conditions that could have an impact on the outcome of medical crowdfunding campions were identified. Three relate to the project (funding duration, number of images and number of updates) and two relate to the funding participants (type of suffer and type of fund-raiser).

The results show that diversified configurations of the aforementioned conditions are found (six configurations for successful medical crowdfunding projects and four configurations for failed ones).

Despite the fact that there are a considerably large number of medical crowdfunding projects, relatively few researches have been conducted to investigate configurational paths to medical crowdfunding success and failure. It is found that there are certain combinations of conditions that are clearly superior to other configurations in explaining the observed outcomes.

The crowdfunding concept and activities have recently been the focus of attention of many researchers and practitioners over different business contexts. However, there is a dearth of literature considering the main aspects of e-equity crowdfunding activities and their impact on the innovation performance for entrepreneurial business. Therefore, this study aims to explore how entrepreneurs' engagement in e-crowdfunding activities could enhance both knowledge acquisition and innovation performance.

The conceptual model will be proposed based on three main theoretical perspectives: relationship marketing orientation (RMO); Kirzner's alertness theory; and the DeLone and McLean model of information systems. The data of the current study were collected using an online questionnaire from a sample of 500 entrepreneurs who have actively engaged in e-crowdfunding in Saudi Arabia.

The statistical results of structural equation modelling (SEM) approved the impacting role of RMO, entrepreneurial alertness, system quality and service quality on the entrepreneurs' engagement in e-equity crowdfunding, which in turn, predicts both knowledge acquisition and innovation performance.

There are several limitations which could be addressed in future studies, for example, this study has only considered one form of crowdfunding (equity based crowdfunding) and due to its nature these findings would not be easily generalized to other kinds of crowdfunding (i.e. donation-based crowdfunding; rewards-based crowdfunding; and debt-based crowdfunding). Future studies could consider these kinds of crowdfunding activities.

This study has contributed to the understanding of e-equity crowdfunding in several aspects. For example, this study presents results that assist both researchers and practitioners in the Middle East and Saudi Arabia to develop an in-depth knowledge of e-equity crowdfunding by considering new dimensions such as RMO and information system success factors.

The purpose of this study is to examine how crowdfunding backer perceptions of market orientation and foreignness impact crowdfunding performance in emerging economies.

Using content analysis software, the authors analyzed 756 Kickstarter campaign narratives from the emerging economies of Brazil, Russia, India, China, and South Africa for the period between 2009 and 2019.

The authors’ results show that behavioral market orientation signals are positively related to amounts raised while decision criteria signals are negatively related. The authors also find that foreign entrepreneur status interacts with the two market orientations to impact funding amounts.

When creating crowdfunding campaigns in emerging economies, domestic entrepreneurs should use high levels of behavioral market orientation rhetoric but low levels of decision criteria rhetoric within their campaign narratives.

This study unpacks the components of market orientation and examines their positive and negative effects on crowdfunding success in the context of emerging economies.

For the case of many content features, This paper aims to investigate which content features in video and text ads more contribute to accurately predicting the success of crowdfunding by comparing prediction models.

With 1,368 features extracted from 15,195 Kickstarter campaigns in the USA, the authors compare base models such as logistic regression (LR) with tree-based homogeneous ensembles such as eXtreme gradient boosting (XGBoost) and heterogeneous ensembles such as XGBoost + LR.

XGBoost shows higher prediction accuracy than LR (82% vs 69%), in contrast to the findings of a previous relevant study. Regarding important content features, humans (e.g. founders) are more important than visual objects (e.g. products). In both spoken and written language, words related to experience (e.g. eat) or perception (e.g. hear) are more important than cognitive (e.g. causation) words. In addition, a focus on the future is more important than a present or past time orientation. Speech aids (see and compare) to complement visual content are also effective and positive tone matters in speech.

This research makes theoretical contributions by finding more important visuals (human) and language features (experience, perception and future time). Also, in a multimodal context, complementary cues (e.g. speech aids) across different modalities help. Furthermore, the noncontent parts of speech such as positive “tone” or pace of speech are important.

Founders are encouraged to assess and revise the content of their video or text ads as well as their basic campaign features (e.g. goal, duration and reward) before they launch their campaigns. Next, overly complex ensembles may suffer from overfitting problems. In practice, model validation using unseen data is recommended.

Rather than reducing the number of content feature dimensions (Kaminski and Hopp, 2020), by enabling advanced prediction models to accommodate many contents features, prediction accuracy rises substantially.