The effects of person-organization fit on lending behaviors: Empirical evidence from Kiva

Zhao, Hongke; Liu, Xiaopei; Zhang, Xi; Wei, Yinyue; Liu, Chunli

doi:10.1016/j.jmse.2021.09.004

Cited by 7 publications

(10 citation statements)

References 54 publications

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“…In addition, our findings show that the average number of team members of the lending teams that lenders have joined is negatively related to lender retention, which is contrary to our hypothesis. We argue that this is caused by the existence of social loafing in which the average contribution rate of each member decreases as the number of members increases (Jiang et al, 2019;Zhao et al, 2022b). Our additional analysis also supports this finding.…”

Section: Main Findingssupporting

confidence: 76%

“…Compared with the above three types of crowdfunding, online prosocial lending has several distinctive features: First, borrowers need to return principle even though lenders do not pursue any reward (Burtch et al, 2014); second, the lending behavior is prosocial, and the goal of lending is poverty alleviation (Galak et al, 2011;Zhao et al, 2022b); third, the online prosocial lending platform provides an internal social network, which increases contributions (Ai et al, 2016); and fourth, the lenders' previous experience and behavior greatly influence lender retention (Zhao et al, 2020). Because these features lead to a different phenomenon from the other three types of crowdfunding (Xiao and Yue, 2021), how to improve lender retention of online prosocial lending is a serious challenge.…”

Section: Prosocial Lender Retentionmentioning

confidence: 99%

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Lender retention of online prosocial lending: a self-determination perspective

Zhang

Cheng²,

Liu³

et al. 2022

INTR

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PurposeProsocial 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.Design/methodology/approachDrawing 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.FindingsThe 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.Originality/valueThis 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.

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Section: Main Findingssupporting

confidence: 76%

Section: Prosocial Lender Retentionmentioning

confidence: 99%

Lender retention of online prosocial lending: a self-determination perspective

Zhang

Cheng²,

Liu³

et al. 2022

INTR

Self Cite

View full text Add to dashboard Cite

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“…In the second category, the findings indicate that the RCFPs have been a favorite medium for entrepreneurs as it is a model in which the share capital is not risked and is seen by investors as a means of social action. And finally, research on LCFP is limited (Zhao et al, 2022 ). Although fewer studies were found in this field, the articles analyzed to provide relevant information.…”

Section: Discussionmentioning

confidence: 99%

Crowdfunding platforms: a systematic literature review and a bibliometric analysis

Mora-Cruz

Palos-Sánchez

2023

Int Entrep Manag J

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Due to the financial crisis caused by the COVID-19 pandemic, entrepreneurs and small businesses have had multiple difficulties accessing conventional types of financing. Crowdfunding platforms have gained popularity as an alternative means of online financing. The main objective of this research is to analyze the most important articles that may influence future studies on crowdfunding platforms in Latin America. This article analyzes the Scopus and Web of Science databases considering three of the four categories of crowdfunding based on capital flows: Reward, Equity, and Lending, using a systematic review of the literature and bibliometric analysis. This research resulted in a total of 1032 articles which, after applying the appropriate criteria, resulted in 55 selected articles. The results show that the number of studies conducted in the field of crowdfunding platforms is increasing. Crowdfunding platforms provide a great opportunity for entrepreneurs to obtain alternative financing and a new way for investors to invest their capital. Future lines of research include conducting studies that involve a stronger focus on the technology used in crowdfunding platforms. With systematized access to information, the different actors can understand how the dynamics of crowdfunding platforms can stimulate the development of business projects, as well as the decision-making factor when investing. This document is of great interest to researchers and professionals who wish to increase their knowledge of crowdfunding platforms, especially those of Reward, Equity, and Lending, in addition to gaining knowledge on relevant conclusions and suggestions for future research.

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“…We input the guild representation of a period into the Transformer Encoder (Vaswani et al 2017) to capture the timing information of the guild. Thirdly, for measuring the guild health from multiple dimensions, inspired by the research of management organization (Lyden and Klingele 2000; Zhao et al 2021), we innovatively divide the guild health into five dimensions, namely Communication, Ability, Resource, Activity and Leadership. The corresponding specific indicators are illustrated in Appendix Table 1.…”

Section: Introductionmentioning

confidence: 99%

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach

Zhao

et al. 2022

AAAI

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Guild is the most important long-term virtual community and emotional bond in massively multiplayer online role-playing games (MMORPGs). It matters a lot to the player retention and game ecology how the guilds are going, e.g., healthy or not. The main challenge now is to characterize and predict the guild health in a quantitative, dynamic, and multi-dimensional manner based on complicated multi-media data streams. To this end, we propose a novel framework, namely Stability-Aware Multi-task Learning Approach(SAMLA) to address these challenges. Specifically, different media-specific modules are designed to extract information from multiple media types of tabular data, time seriescharacteristics, and heterogeneous graphs. To capture the dynamics of guild health, we introduce a representation encoder to provide a time series view of multi-media data that is used for task prediction. Inspiredby well-received theories on organization management, we delicately define five specific and quantitative dimensions of guild health and make parallel predictions based on a multi-task approach. Besides, we devise a novel auxiliary task, i.e.,the guild stability, to boost the performance of the guild health prediction task. Extensive experiments on a real-world large-scale MMORPG dataset verify that our proposed method outperforms the state-of-the-art methods in the task of organizational health characterization and prediction. Moreover, our work has been practically deployed in online MMORPG, and case studies clearly illustrate the significant value.

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The effects of person-organization fit on lending behaviors: Empirical evidence from Kiva

Cited by 7 publications

References 54 publications

Lender retention of online prosocial lending: a self-determination perspective

Lender retention of online prosocial lending: a self-determination perspective

Crowdfunding platforms: a systematic literature review and a bibliometric analysis

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach

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