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This study attempts to evaluate the performance of women-dominated self-help groups (SHGs) in India and their contribution to financial inclusion. The two dimensions – spread and status of SHGs are considered to assess their performance level, where each of the dimensions has a few number of indicators. The study also constructs a composite financial inclusion index (FII) to calculate the FII values, which appear from the performance of SHGs, during the study period 2007–2021, in India. Finally, the study establishes a relationship between financial inclusion and human development since women’s involvement in financial inclusion is also conducive to human development. The study comes to the conclusion that despite success in achieving financial inclusion through promoting SHGs, the government should keep a focus on the ever-increasing amount of non-performing assets (NPA) of the banks since a part of that is related to the functioning of SHGs. However, the promotion of SHGs is fundamental for women empowerment, human development, and thereby, to ensure sustainable development.

Briefly, sources of finance for rural development in developing countries have presented an almost insoluble problem. The Addis Ababa Action Agenda – Financing for Development, 2015 has received attention, Istanbul Declaration and Programme of Action, the Vienna Programme of Action for Landlocked Developing Countries for the Decade 2014–2024 have received attention. Some basic information on Microfinance at a rural level with special section in this chapter has been devoted to Professor Muhammad Yunus' work entitled ‘Banker to the Poor’.

This study aims to assess that whether Islamic real estate crowdfunding (RECF) can offer a compelling alternative investment that can attract substantial funds from traditional securities and other conventional methods or otherwise.

The current study draws on secondary data that was published on legitimate website, Twitter and official documents. Document analysis is conducted using the statements of privacy policy, Sharia compliance, terms and conditions disclosers and the established facts. Second, to achieve in-depth knowledge, a qualitative analysis was conducted for the published interviews and presentations with Aseel CEO Majed Abalkhail on YouTube. Thematic analysis is adapted; it is among the most popular types of analyzing qualitative data.

The findings show that the Aseel platform has been successful in providing simple access to investment opportunities by minimizing the obstacles, reducing entry and exit costs, streamlining the process and widening the investor’s base.

This paper seeks to contribute to the literature on crowdfunding, Islamic crowdfunding and RECF. Its objectives include exploring the concept of crowdfunding, its growth and various types. Furthermore, the paper aims to examine the expansion of the Islamic crowdfunding system, its current market position and a focus on the Saudi Arabian market. Lastly, the paper investigates the first RECF in Saudi Arabia, Aseel Company, which has achieved remarkable success with seven investment funds completed within its first year of establishment.

Even after establishing their business successfully, many business owners get demotivated, and it leads to unwillingness to grow. This study aims to propose a comprehensive model that represents interrelationships among various personal factors affecting “unwillingness to grow.”

The personal factors for unwillingness to grow were identified by extant literature, and expert interviews were conducted to establish the contextual relationships among these factors. The interrelationships among the filtered variables have been done using interpretive structural modeling (ISM) and MICMAC analysis was done to determine the importance of each factor in influencing “unwillingness to grow.”

In total, 30 personal attributes were identified from previous literature, out of which 15 were selected for the final study. The result identifies 7 variables having a strong impact on “unwillingness to grow.” These attributes are “absence of strong network,” “lack of vision,” “lack of proactiveness,” “reluctance to involve external consultants,” “absence of/small founding team,” “lack of ambition” and “improper attitude.”

The research attempts to create a bricolage of all the important personal factors affecting “unwillingness to grow.” Previous researches have used few attributes, but with the help of ISM, a graphical modeling technique, it became possible to draw interrelationship between 15 attributes. Further, with the help of MICMAC, the importance of each attribute was determined.

This paper investigates how two characteristics of language, abstractness vs concreteness and narrativity, influence user engagement in communication exercises on innovation targeted to the general audience. The proposed conceptual model suggests that innovation fits well with more abstract language because of the association of innovation with imagination and distal construal. Moreover, communication of innovation may benefit from greater adherence to the narrativity arc, that is, early staging, increasing plot progression and climax optimal point. These effects are moderated by content variety and emotional tone, respectively.

Based on a Latent Dirichlet allocation (LDA) application on a sample of 3225 TED Talks transcripts, the authors identify 287 TED Talks on innovation, and then applied econometric analyses to test the hypotheses on the effects of abstractness vs concreteness and narrativity on engagement, and on the moderation effects of content variety and emotional tone.

The authors found that abstractness (vs concreteness) and narrativity have positive effects on engagement. These two effects are stronger with higher content variety and more positive emotional tone, respectively.

This paper extends the literature on communication of innovation, linguistics and text analysis by evaluating the roles of abstractness vs concreteness and narrativity in shaping appreciation of innovation.

This paper reports conceptual and empirical analyses on innovation dissemination through a popular medium – TED Talks – and applies modern text analysis algorithms to test hypotheses on the effects of two pivotal dimensions of language on user engagement.