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This study aims to explore how a microlending digital platform connects social investors in developed countries and micro-entrepreneurs in Africa. However, additional research is necessary to discuss how online auction models are designed and implemented and how existing theories can explain their use in the so-called developing countries.

The research is based on a single case study: an online auction model for microlending named AfricaMC. Two main methods collected empirical data, namely, online participant observation, i.e. real-time participation in the online auction market and in the forum of discussions, where the authors observed the processes of microlending transactions as registered members; analysis of online documents, by reviewing forum discussions, analyzing reports, blogs, chats and other materials.

The results suggest that using sociological and information systems theoretical lenses in a complementary manner could provide greater value than using economics.

The study makes two main contributions. First, it mobilizes a pluralist theoretical approach based on economic, sociological and information systems perspectives to improve the understanding of microlending digital platforms using online auction models. Second, it uses the understanding produced from data analysis of one particular African case to validate propositions derived from these three theoretical approaches that might be applied to other cases.

The purpose of this study is to examine the role of culture and future orientation in lenders’ prosocial microlending behaviors.

Three experiments examine how different cultural backgrounds, either individualistic or collectivistic, influenced microlenders’ prosocial behaviors, including the amount of microlending, the willingness to help and the length of commitment. Further, the moderating role of future orientation among individualists is investigated.

Results indicate that cultural differences influence prosocial microlending differently such that individualists give less to people in need compared to collectivists. Further, the author found that future orientation helps lenders in individualistic culture to improve prosocial microlending behaviors.

This paper emphasizes the role of cultural background and future orientation in promoting lenders’ prosocial giving in the context of microlending. The results assist social marketers to understand how to motivate giving behaviors via microlending among lenders in different cultures depending on future orientation.

Social entrepreneurs often make public appeals for funding to investors who are motivated by nonfinancial considerations. This emerging research context is an opportunity for researchers to expand the bounds of entrepreneurship theory. To do so, we require appropriate research tools. In this chapter, we show how computer-aided text analysis (CATA) can be applied to advance social entrepreneurship research. We demonstrate how CATA is well suited to analyze the public appeals for resources made by entrepreneurs, provide insight into the rationale of social lenders, and overcome challenges associated with traditional survey methods.

We illustrate the advantages of CATA by examining how charismatic language in 13,000 entrepreneurial narratives provided by entrepreneurs in developing countries influences funding speed from social lenders. CATA is used to assess the eight dimensions of charismatic rhetoric.

We find that four of the dimensions of charismatic rhetoric examined were important in predicting funding outcomes for entrepreneurs.

Data collection and sample size are important challenges facing social entrepreneurship research. This chapter demonstrates how CATA techniques can be used to collect valuable data and increase sample size. This chapter also examines how the rhetoric used by entrepreneurs impacts their fundraising efforts.

The purpose of this paper is to analyze Grameen America's response to COVID-19 pandemic. This is accomplished by identifying and analyzing the key initiatives implemented by Grameen America within the framework of selected United Nations' Sustainability Development Goals (UN’s SD Goals).

This study has used qualitative content analysis to analyze financial and nonfinancial information of Grameen Bank.

This study follows a qualitative content analysis method to precisely gauge the shift in Grameen’s strategy and focus, as well as to assess the impact of its initiatives on the small business community before and after the pandemic. The findings showcase that Grameen’s longstanding mission to alleviate poverty is in line with the UN’s SD Goal 1. Also, Grameen’s commitment to create partnerships with external organizations to offer credit and noncredit services and support is consistent with UN’s SD Goal 17.

Notwithstanding the significant contributions of this case study, the findings are limited in some respects. First, this case study focuses on the Grameen America’s unique experience regarding its response to COVID-19 pandemic. This may affect the interpretation and generalization of the findings of this study. Performing comparative views across wide range of relevant microlending institutions could help improve the generalization of the findings. Also, this case study examines the impact on women and minority groups who were particularly affected by the pandemic. The results should, therefore, be interpreted with care as circumstances may change over time.

The implication for practice is that policymakers should encourage the creation of more member-based financial and non-financial institutions that can help members integrate financially and socially into society. Also, practitioners should increase their ethical duties and responsibilities to their members in society in good and bad times as members tend to value the ethical aspect of financial businesses.

The social implication of the findings is that helping members of society to cope with the difficulties brought about by COVID increased the sense of belonging among members and made them feel cared for, thereby increasing financial and social inclusion among underserved people.

Prior literature addressed the initiatives of microlending institutions such as Grameen Bank to achieve financial inclusion among financially vulnerable women. This case study contributes to the literature on financial inclusion and poverty alleviation by examining Grameen America’s response to the pandemic by identifying and assessing Grameen America (GA’s) key initiatives and their impact within the framework of the UN’s SD Goals in the post COVID-19 world.

Crowdfunding (CF) has become an increasingly popular means of financing for entrepreneurs and has attracted significant attention from both researchers and practitioners in recent years. The purpose of this study is to investigate the core content and knowledge diffusion paths in the CF field. Specifically, we aim to identify the main topics and themes that have emerged in this field and to trace the evolution of CF knowledge over time.

This study employs co-word clustering and main path analysis (MPA) to examine the historical development of CF research based on 1,528 journal articles retrieved from the Web of Science Core Collection database.

The results of the analysis reveal that CF research focuses on seven themes: sustainability, entrepreneurial finance, entrepreneurship, fintech, social entrepreneurship, social capital, and microcredits. The analysis of the four main paths reveals that equity CF has been the dominant topic in the past years. Recently, CF research has tended to focus on topics such as fintech, the COVID-19 pandemic, competition, Brexit, and policy response.

To the authors' best knowledge, this is the first attempt to explore knowledge diffusion dynamics in the CF field. Overall, the study offers a structure for analyzing the paths through which knowledge is diffused, enabling scholars to effectively manage a large volume of research papers and gain a deeper understanding of the historical, current, and future trends in the development of CF.

Crowdfunding, an alternative funding source to support entrepreneurial initiatives, has increasingly attracted the attention of scholars. However, knowledge of the drivers and outcomes of crowdfunding is currently scant. This study thus presents a review of the extant literature on new ventures soliciting crowdfunding.

The authors conducted a systematic literature review (SLR) of peer-reviewed articles, identifying and thematically analyzing 58 publications.

The thematic analysis revealed six main themes: a) founders and crowdfunding, b) signaling and crowdfunding, c) digitalization and crowdfunding, d) outcomes, e) geography and crowdfunding and f) success factors. In addition, crucial research gaps are identified to guide future research.

Beyond classifying the material on the basis of the thematic analysis and identifying potential future research avenues, the study has main implications. The authors detailed how crowdfunding, as a source of entrepreneurial funding, differed from other funding sources and explored entrepreneurial challenges that may be encountered in managing crowdfunding campaigns. The findings may thus help in the design of crowdfunding campaigns and serve educators in various disciplines when teaching and training participants on designing and promoting crowdfunding campaigns.

After identifying and integrating results from relevant articles on crowdfunding, the authors explained dominant themes in the literature and proposed a conceptual framework wherein the authors highlight factors that influence crowdfunding outcomes. The authors highlight the increasing relevance of crowdfunding for new ventures and elucidate avenues for future research.

The purpose of this paper is to discuss the case-based reasoning (CBR) approach to improve microcredit initiatives by means of providing a borrower risk rating system.

The CBR approach has been used to consider the Kiva microcredit system, which provides a characterization (rating) of the risk associated with the field partner supporting the loan, but not of the specific borrower which would benefit from it. The authors discuss how the combination of available historical data on loans and their outcomes (structured as a case base) and available knowledge on how to evaluate the risk associated with a loan request can be used to provide the end users with an indication of the risk rating associated with a loan request based on similar past situations.

The adopted approach is applied and evaluated employing a selection of cases from individual loans. From this perspective, the case base and the codified knowledge about how to evaluate risks associated with a loan represent two examples of knowledge IT artifacts.

The originality of the work lies in borrower risk rating in online indirect peer-to-peer microcredit lending platforms. The case base and the codified knowledge are the two contributions in knowledge IT artifacts.

Introduction: Lending is an age-old concept, and Peer-to-Peer (P2P) lending is not new. The reduction in the issuing of loans by banks has made people switch from traditional to online mode. The introduction of the online P2P lending industry is in its nascent stage of growth. As this industry is relatively new, understanding user experience, sentiments, and emotions would be helpful for the industry to innovate as per customer requirements.

Purpose: To explore the patterns in the sentiments expressed by users of ‘Cashkumar’ based on Google reviews.

Methodology: Sentiments have been analysed using user experience in risk, cost, ease of use, and loan processing time. Python application was used for sentiment analysis of Google reviews.

Findings: The sentiment analysis results showed that the average sentiment score was 0.7144, which indicates that the user sentiment towards ‘Cashkumar’ is positive. The reviews reflect that the users, especially borrowers were satisfied with the platform’s services and happy with loan processing time. The other factors – ease of use, cost, and risk – were not given much importance by users. Both lenders and borrowers faced a few issues, but the results of the lender’s sentiment analysis could not be generalised due to a smaller number of posted reviews.

The purpose of the chapter is to engage with the relationship between the gift and the market in the context of philanthropic micro-lending. We seek to move beyond theorizing separate, ex-ante gift or market regimes and transactors who independently navigate between oppositional modes of transaction.

We turn to recent efforts of hybridizing charity and venture finance, exemplified by microfinance platforms such as Kiva.org. We combine data from an existing study of Kiva and its online community, with additional participant observation and third-party accounts detailing the evolution and workings of microfinance.

We illustrate how market-like elements are productively and problematically deployed in philanthropic giving and address the need to consider a broader range of socio-material relations involved in the framing of transactions.

A complex network of actors and (trans)actions needs to be assembled for the philanthropic loan to be enacted. We touch upon the making and role of the socio-material devices that actively participate in such enactment only tangentially. Further research is needed to flesh out the respective transaction complex, taking additional note of the work of borrowers, local loan officers, and other less visible actors.

Organizations need to recognize and creatively address the complex interplay of gift and market elements. They need to pay attention and take advantage of the tensions and synergies emergent in hybrid gift-market contexts.

We engage with a complex, less studied transaction context. The chapter shows that philanthropic gift relations can be reproduced through market-like elements and arrangements. Such production entails complex socio-material networks mobilizing a broad array of human and nonhuman actors.