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Private equity and venture capital (VC) firms in the capital markets sector invest capital with the primary goal of delivering economic value. However, some firms in the capital markets sector have started to shift this focus to create (i.e. invest in) social value. More specifically, traditional VC firms are starting socially oriented funds, while other firms have emerged to focus solely on investments in social enterprises. These VC firms are contributing to an interesting paradox – performance metrics are not measured by profit alone but also by social innovation. From an architectural perspective, the authors examine the implications of internal design, i.e. how specific strategic and structural factors influence the financial performance of VC firms with a social orientation to determine if these firms really can “do well and do good.”

Social orientation was determined by content analysis of mission statements of the VC firms. Firm strategies, structures and performance were sourced from secondary data. A moderated mediation model was used to test relationships.

Results suggest that (1) socially responsible VC firms adopt distinct foci of social investing that directs their strategic orientation and (2) these various foci have vastly differing effects on the firm's overall performance, strategic decisions made and the architecture of their structural design.

This study is among the first to explore socially responsible VC architectural dimensions, with implications for firm design based on blended measures of success.

Recently, socially and responsible investments (SRI) have constantly grown becoming a highly discussed issue. Therefore, the main purpose of this paper is to better understand if environmental social governance (ESG) criteria integration in investment strategies can support the transition of finance toward a more sustainable growth.

An explorative analysis based on a multiple case study has been conducted and addressed by a content analysis on the Key Investors Information Documents (KIIDs) that the sample companies published for 2020.

The achieved results demonstrated that the case companies differently integrated ESG into their SRI; thus, if some of them are quite near to a full integration, the others demonstrated less than a full commitment with ESG. This seems to be mainly due to the different approach that asset management companies (AMCs) and/or managers have adopted for integrating ESG criteria.

Even though the achieved results offered some interesting insights for asset managers, the explorative and qualitative nature of this study and the small sample investigated somewhat limits it.

AMCs, consultants and managers in developing and implementing their SRI strategy could be much more focused on the importance of ESG integration for the transition toward a more responsible and sustainable finance (micro-level) as well as a more sustainable development (macro-level).

The paper provides new insights into the essence of SRI strategies and their potential to contribute to sustainable development. Thus, it tries to shed new lights on the role that ESG can have to stimulate and support investment decisions and, in so doing, contributing to make finance grow more sustainable.

The purpose of this paper is to examine socially responsible investment (SRI) fund performance and investigate the factors influencing fund performance.

The study uses return data from the Morningstar database for 152 SRI funds from January 1995 to May 2015. The initial analysis includes the use of various risk-adjusted performance measures, including Sharpe ratio, Treynor ratio, Information ratio, Sortino ratio and M². The study also uses four factor models, including Jensen single-factor model, Fama–French three-factor model, Carhart four-factor model and Fama–French five-factor model to explain SRI fund returns. Finally, a cross-sectional regression analysis is applied to investigate the determinants of SRI fund returns.

The results show that, on average, the SRI funds provide comparable risk-adjusted returns relative to various benchmark market indices. Market factor is significant in explaining SRI fund returns. Examining each factor model, the results do not support Fama–French’s three-factor model as neither size nor value factor is significant. The author finds weak support for Carhart’s momentum factor along with the market factor. Finally, the Fama–French five-factor model shows market, size and operating profit factors explain SRI fund returns. The study also finds the fund performance is stronger for funds with the higher turnover ratio, the larger fund size and more managerial experience and lower for funds with higher expense ratio. Also, funds formed with negative screening perform better than positive or mixed screened funds.

SRI funds have received considerable attention from investors. This study contributes to the literature by examining SRI fund performance and investigating factors influencing their performance using multiple factor models and cross-sectional regression analysis. The findings are relevant for investors who demand responsible investment opportunities without sacrificing returns for nonfinancial screenings. Findings also suggest that investors should consider fund characteristics when selecting SRI funds.

The purpose of this paper is to examine the performance of portfolios that are constructed based on environmental, social and governance (ESG) scores and consist of stocks located in Europe and Turkey.

In order to form the portfolios, firstly all stocks are ranked in a descending way based on ESG-based (ESG, environmental, social and governance) scores, separately. Then, 10% of stocks with the highest scores are included in the “Top” portfolio and 10% of stocks with the lowest scores are included in “Bottom” portfolio and totally performance of eight portfolios are investigated. Finally, capital asset pricing model (CAPM) and Fama-French three-factor model are employed as performance measurement benchmarks.

Results obtained from CAPM regression show that using ESG-based scores two portfolios underperform the market index. The results of the three-factor model provide that performances of Bottom ESG and Bottom GOV portfolios outperform the market excess return by 0.57% and 0.53%. The overall findings of this paper indicate that there is no relationship between socially responsible investment (SRI) and portfolio performance. These findings are in line with the efficient market hypothesis which indicates all information is reflected in prices.

The aim of the study is to provide insight on the question of “whether SRI has any effect on the portfolio performance”. As far as the literature review is concerned it is seen that this study provide additional insight by utilizing a longer time span together with data from numerous markets.

The purpose of this paper is to explore the emergence of sustainability governance through the unfolding hybridisation process between corporate governance and corporate social responsibility and the implications of this for understanding patterns in sustainability reporting over time.

The Gulf of Mexico oil spill incident is an extreme case study undertaken to examine its implications on the organisational legitimacy of British Petroleum (BP) and the latter’s response to the incident and beyond. The paper draws on Suchman’s legitimacy framework (1995) to understand sustainability governance as an organisational practice that evolved post the Gulf of Mexico oil spill to manage BP’s legitimacy. It draws on archival records and documentation from 2008 to 2017, as key sources for data collection, using interrogation by NVivo software.

Sustainability governance is a sound practice that was socially constructed to manage the re-legitimatisation process following the Gulf of Mexico oil spill. It is characterised by broadness (the interplay between the corporate governance and corporate social responsibility disciplines), dynamic (developing the tactics to repair and maintain legitimacy), agility (conforming to the accountability for socially responsible investment and ensuring steps towards geopolitically responsible investment) and interdependence (reflecting composition and interactions).

This paper has practical implications for organisations, in terms of sustainability governance’s constitution, mechanism and characteristics.

This paper has implications not only for organisations, in terms of sustainability governance’s characteristics, but also for policy-makers, regulators and accounting education. However, the present paper’s insights are achieved through an in-depth and longitudinal case study.

This paper has problematized the concept of sustainability governance and elaborated its evolution (the emergence, enactment, deployment and interplay) process. The sustainability governance showed an otherwise organisational response that moves our understanding of the deployment of disclosure for complex organisational change as a way to discredit events.

This paper empirically investigates the performance of Islamic funds, which have been praised for weathering the 2008 financial storm relatively well and compares it to a European product designed to protect the most vulnerable of investors, UCITS funds.

This paper builds on 128 time-series regressions using various factor models to analyse the risk-return relationship of 242 Islamic and UCITS funds relative to a market benchmark, over a 10-year period starting January 2006, to capture severe bear and bull market conditions.

Islamic funds do not face a competitive disadvantage arising from their strict compliance with Sharīʿah principles, and their performance and investment style is relatively similar to UCITS schemes.

Islamic funds represent a low risk investment due to their very mild betas. Therefore, when forming part of a diversified portfolio, they can act as a hedging tool against adverse market movements.

Muslim investors are not punished relative to conventional retail investors when following their own beliefs. Other investors can consider Islamic funds in their portfolio allocation, especially those who seek socially and ethically responsible investments.

This paper fills a lacuna in the existing literature, because the sample is made up of Islamic funds established worldwide and includes not only equity, but also fixed income and mixed allocation funds.

This study aims to identify the factors that influence the willingness of Bangladeshi retail investors to invest in ṣukūk.

The authors surveyed Bangladeshi retail investors using a structured questionnaire to understand their perspectives on potential investment in ṣukūk. The authors considered the behavioral aspects of retail investors and the desired ṣukūk features to analyze the demand side. Factors and regression analyses were performed to identify the persuading factors.

The results indicate that investor awareness is a fundamental factor in potential investments in ṣukūk. Investors perceive the security represented by government and third-party guarantees as a persuasive feature of ṣukūk. The tradability and tenor of ṣukūk also affect the investment intention. Sharīʿah consciousness of the investors also plays a significant role in their investment decisions.

One limitation of this study is that it incorporates potential individual investors only, and precludes institutional investors. In the future, there is scope for research to explore the demand factors impacting institutional investors of ṣukūk in Bangladesh.

The authors expect that the study will aid policymakers and ṣukūk issuers in crafting strategies to cater to the needs of Bangladeshi retail investors.

This study is the earliest research conducted in Bangladesh to determine the factors impacting the willingness of individual investors to make their potential investments in ṣukūk. To the best of the authors' knowledge, no study has analyzed the desired ṣukūk features from the perspective of Bangladeshi retail investors.

The purpose of this paper is to examine the world’s first social impact bond (SIB) and the lessons that can be learned for the Islamic finance industry to fulfil its true objectives.

The Peterborough SIB was recently announced to be successful in achieving its targeted social and investment outcomes, reducing recidivism by 9 per cent and paying back investors a 3 per cent pa return. The paper compares Peterborough SIB with socially responsible investment (SRI) sukuk in terms of form and substance, and finds that there are various lessons from the Peterborough SIB that can be useful for future development of Islamic financial products.

Innovative social financial tools such as SIB exemplify the true spirit of risk sharing and social responsibility, which is arguably missing in current practices of the Islamic finance industry. With the growing interest towards SRI strategies and increase in socially motivated investors, such financial tools may not only help the sustainable growth of the Islamic finance industry, but also fill in the gap between its theory and practice.

As such, the paper also proposes a social impact sukuk model which integrates the key aspects learned from Peterborough SIB. This includes prioritising social impact, measurable success indicators, data and management systems, flexible contracts, third sector integration, risk sharing and fostering the culture of innovation.

The findings can offer some practical insights in dealing with the issue of Islamic finance practice being overly concerned with its formal adherence with Islamic legal rules whilst neglecting its true fundamental values.

This study aims to explore the impact of controversial firms’ corporate sustainability assessments on their risk exposure according to the environmental, social and governance (ESG) paradigm.

This study conducts a cross-sectional study using the ordinary least squares approach to test how corporate social responsibility practices affect firms’ risk exposure, testing the three single impacts of ESG components and the impact of an overall ESG assessment. This study considers the largest Standard & Poor’s (S&P) 500 stock market index companies and focus on a double-risk measurement – systematic and idiosyncratic – developing an empirical study on 132 controversial companies listed on the S&P index.

Empirical findings indicate that the overall ESG assessment and the environmental and social sub-dimensions decrease idiosyncratic firm risk. At the same time, no significant results are found according to the systematic risk component.

This study fits into the domain of risk management research, investigating whether additional and non-financial disclosures regarding sustainability issues decrease information asymmetries, improving investors’ decision-making and stakeholders’ relations. Prior literature has shown limited evidence on the relationship between corporate social performance (CSP) and firm risk based on controversial companies. The main contribution is to consider the controversy as an independent factor from the industry sector, given that the implications of CSP actions and practices are mainly firm-specific.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.