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The purpose of this study is to analyze the intersection of research on impact investing and its closely related financial vehicles.

The paper explores 196 articles collected from Scopus and Web of Science using bibliometric and content analysis methodologies.

Despite a growing academic interest in impact investing, scholars generally investigate impact investing as a social phenomenon, using the specific financial mechanism of social impact bonds. This perspective potentially deflates the complex nature of impact investing, which actually combines both social and financial targets and uses a plurality of financial vehicles to reach its goals.

The emerging themes identified will provide both academics and practitioners additional tools to further the debate on impact investing and the understanding of its potential and limits according to the different financial forms it takes. This review should pave the way for a discussion about the boundaries of the social impact sector itself.

Despite the strong international commitment toward impact investing, tensions still exist. A comprehensive overview on the relevant aspects not yet thoroughly investigated will foster the growth of impact investments.

To the best of the authors’ knowledge, this is the first holistic overview of impact investing, that jointly examines both literature on impact investing and literature on the correlated financial products used in the industry. The result is a comprehensive report of what is known about impact investing in its different financial forms, opening up new pathways for future studies.

This study aims to provide a precise understanding of how corporate sustainability information is used in socially responsible investing (SRI). The study is motivated by the lack of a recognised body of knowledge on this issue. This study, therefore, collates and reviews relevant studies (67 studies) to provide guidance to investors interested in SRI and identify a research agenda for academics desiring to contribute to this area.

This study conducts a systemic literature review employing recognised key words and searching the Web of Science. HistCite is utilised to ensure important cited studies are not missed from the collection. The review was conducted from two perspectives: (1) sources of sustainability information and (2) how the information is used in SRI.

The review identifies five major sources of sustainability information, including corporate reports, ESG ratings, industry affiliation, news and private communication with firms. These sources of information play different roles in the cross section of SRI strategies (i.e. negative and positive screening, active ownership and integration). This study provides guidance on how to use this information in SRI and provides recommendations for future research on how analysts interact with the information, how different informational characteristics impact implementation, ways to improve data quality, improvements to analysis methods and where data use needs to be extended into new strategies.

This review contributes to the SRI literature by inventorying studies of an important, yet omitted aspect, namely, sustainability information. This work also enriches the literature on corporate sustainability information by investigating how this information can be used for a specific purpose, namely, SRI. Given the increasing interest in SRI, this review will provide much-needed guidance for a range of practitioners, including investors and regulators.

Over the past two decades, the topics of Environmental, Social and Corporate Governance (ESG) and Corporate Social Responsibility (CSR) have attracted an increasing amount of interest, reflecting a growing sensitivity of investors and corporations towards environmental, social and governance issues.

This survey offers an overview of the academic literature on ESG/CSR through the lens of investors, institutions and firms. We first discuss the definitions of ESG and CSR and their relationship to each other.

We next describe how ESG is measured and note problems with the measurement of and quality of ESG data and discrepancies between different measures of ESG. We then turn our attention to investors, examining what types of investors invest in ESG and the role of institutional investors in ESG. From the firm's perspective, we discuss why firms themselves conduct ESG. We also summarize the literature on the impact of ESG on firms: how ESG affects firms' financing, disclosure and reporting activities and firm performance. Finally, we describe other consequences of the focus of ESG and CSR on firms and investors.

This survey offers an overview of the academic literature on ESG/CSR through the lens of investors, institutions and firms.

Sustainable investments (SI) represent a promising class of investments, combining financial returns with mitigating environmental challenges, achieving SDG goals and creating a positive business impact. An enhanced global focus on climate change developments in the backdrop of COP26 and COP27, raised the need for comprehensive literature mapping, to understand the emerging themes and future research arenas in this field.

The authors apply a quali–quantitative approach of bibliometric methods coupled with content analysis, to review 1,022 articles obtained from the Web of Science (WoS) database for 1991–2023.

The results identify the leading authors and their collaborations, impactful journals and pioneering articles in sustainable investment literature. The authors also indicate seven major themes of SI to be financial performance; fiduciary duty; CSR; construction of ESG-based portfolios; sustainability assessment tools and mechanisms; investor behavior; and impact investing. Further, content analysis of literature from 2020 to 2023 highlights emerging research issues to be SDG financing via green bonds and social impact bonds; investor impact creation via shareholder engagement and field building strategies; and governance related determinants of firm-level sustainable investments. Finally, the authors discuss the research gaps across these themes and identify future research questions.

This paper crystallizes research themes in sustainable investment literature using a vast coverage of globally conducted studies published in reputed journals till date. The findings of this study coupled with future research questions provide a well-grounded foundation for new researchers to further explore the emerging dimensions of this field.

The current research takes a closer look at the investment intention of Generation Z and its relation to investing in a speculative market. The study applies the theory of planned behaviour (TPB) to understand the dominant factors leading to Generation Z investment decisions in speculative markets. The main objective is to identify whether these decisions are learnt decisions or herd behaviours.

Structural equation modelling is used to evaluate the research model, and examine the mediation effect of financial literacy using bootstrapping in AMOS software. Information was gathered from 271 students studying at the University of Technology and Applied Sciences. The questionnaire used for the survey was adapted from previous related studies examining the TPB.

The findings show financial literacy and behavioural outcome (attitude) are key components associated with investment intention. Motivation to comply (subjective norm) affects the intention to invest if mediated by financial literacy. The subjective norm has no bearing on the intention to invest in a speculative market. This implies social peers have no bearing on their intention to invest unless mediated by financial literacy.

The main limitation of the study is that the group from which the sample is drawn consists of all students at a state-funded university who receive stipends. This limits the applicability of related findings. Furthermore, the variables have dynamic properties, which implies their impacts may vary over time.

Generation Z comprises a large number of small investors who can make a significant difference to the overall economic trends of the country. The digital world, which is time- and space-infinite, is shaping the next generation. It is only possible to reach and sway their opinions by conducting extensive behavioural science research.

Academic institutions ought to be viewed as a resource for conducting additional in-depth research on a variety of subjects to assist and shape the current generation for a better future.

Although the TPB has been used by many researchers to explore the behavioural intention of Generation Z, very few have used financial literacy as a perceived behaviour control to study its direct and indirect effects on behaviour intention.

This case describes the evolution of MHFC, a player in the Indian informal housing sector. As a new entrant offering micro home loans to the financially excluded lower income families of urban India in 2008, MHFC had grown to an annual number of 18,000 loans worth INR 8 billion with an average ticket size of INR 0.43 million (USD 6,000).

With a 53.5% purchasable equity stake in MHFC, Chopra and his team were left with certain decisions to make. Should the company on-board a new social investor? Or should it bring on the more readily available and capital-rich private equity investors interested in the lucrative prospects of the microfinance housing sector?

The case discusses two key objectives: (1) to understand the entire entrepreneurial journey of a group of entrepreneurs and how they plan to exit the venture, and (2) to enable classroom discussion on how to develop a business model from scratch, get it funded, achieve scale and then exit.

As public awareness of the concept of sustainable development has increased, a new investor market has appeared. These investors will only make investments in sustainable financial instruments. Yet, how corporate managers can effectively exploit this new financing concept to make their companies risk resilient remains unaddressed. This study, a conceptual research, aims to examine the impact of sustainable finance (SF) on business risk resilience (BR) and the impact of SF on risk management infrastructure (RI). It also addresses the impact of RI on BR and the mediating effect of the former between SF and BR in the corporate world. Finally, this research explores the moderating effect of managerial capability (MC) and firm technology-focused innovation capability (IC) between SF and RI.

This study incorporates both theoretical and empirical works in the sustainability, innovation, risk management and HRM fields. Afterwards, it constructs a conceptual model alongside suppositions that can be tested in further studies.

This study proposes that SF will enhance BR and RI. Moreover, RI will promote BR and positively intervene between SF and BR. Furthermore, MC and IC will reinforce the SF–RI impact such that the SF–RI impact will be strengthened for companies whose MCs and ICs are high than low.

This research affords suggestions for researchers in multidisciplinary fields. It reinforces BR and RI by introducing SF, MC and IC as tactical devices. It also serves as a reference point for forthcoming academics to investigate this conceptual model, empirically, in diverse industries worldwide.

Practical lessons for finance, investment and risk managers, as well as corporate investors are discussed.

This study provides a new research model that demonstrates how SF can be exploited to promote BR and build RI. It also shows how RI can bolster BR and how RI can connect SF to BR. This new model also exhibits how MC and IC moderate the impacts of SF and RI. Thus, it attempts to advance existing knowledge and theoretical frameworks.

Socially responsible investment (SRI) is a niche and upcoming investment strategy in India. Very few researches have been conducted on SRI in the Indian context. This study identifies the SRI awareness level, attitude towards the importance of environmental, social, and governance (ESG) issues, willingness to invest in SRI avenues and obstacles in SRI investment decision-making by Indian retail investors. The second objective was among the awareness, attitude, willingness, obstacle, and demographic constructs to identify the most significant variables that impact an individual investor's SRI decision in India. .

Data for the study have been collected through a self-structured questionnaire. Descriptive statistics are used to identify the importance of variables for individual investors. This paper used the theory of planned behavior (TPB) to understand the factors impacting individual investors' SRI behavior. Binary logistics regression analysis is used to recognize the variables that affect an individual investor's SRI decision.

The descriptive statistics indicate a low level of SRI awareness; the majority of the investors agreed that ESG issues are significant in investing and showed a willingness to invest in SRI avenues. However, the investors were not willing to accept lower returns from SRI. The majority of investors found, lower returns on SRIs, no tax benefit, lack of information about SRIs, and low liquidity as important obstacles in SRI investing. Binary logistics regression results indicated that awareness about SR/ESG indices, awareness about SR/ESG funds, and willingness to invest in SRI avenues significantly impact investors' SRI decisions but demographic variables have no significant impact on SRI decision-making.

This study has implications for the ethical/SR mutual funds managers, policymakers, government, and international asset management companies. The study finds an urgent need for increasing awareness about SRI among individual investors in India. The study suggests that the issuers must provide adequate information about SRI avenues and probable risk and returns involved in these, while the regulators must make efforts to educate investors in India.

The context of the present study is original because hardly any of the earlier studies conducted in India have tried to find out the individual investors' SRI awareness level, investors' willingness towards SRI, investors' attitude towards ESG issues, and obstacles faced by investors in socially responsible investing.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

The study assesses impact of individual cultural values on investment choices (aggressive or conservative), of 450 investors with behavioural biases and risk propensity in serial as mediators in the relationship.

The study used serial mediation analysis using Hayes model 6 for creating six models.

Findings of the study indicated that individualism traits are inclined to aggressive investment choices due to presence of overconfidence biases. Uncertainty avoidance and longtermism traits of investors resulted in aggressive investment choices due to presence of herd mentality bias. The moderating impact of past investing experiences was found significant.

The study indicates the importance of cultural values and past investing experiences of investors that may develop biases to assess investment choices and decisions of investors.