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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 study the concept of purging and present a comparative study of the existing purging methodologies prevailing in the market with a view to evolving a more effective method of capturing the entire impure income to be purged.

To illustrate the present discussion, a case study of purging based on numerical examples has been included. The argument has also been supported with empirical data related to the universe of Sharīʿah-compliant stocks listed on Indian stock exchanges.

During the study, it was found that the existing purging methodologies of calculating impure income to be purged have conceptual and practical shortcomings.

The scope of the current research is limited to calculation of impure income which accrues on account of Sharīʿah non-compliant investments directly or indirectly. It does not try to quantify the benefit which may be imputed in the form of capital gains made in trading of the investee company shares due to higher market value of the shares as a result of the impure income earned by the investee company. The paper has focused on identifying and calculating the impure income on account of interest. Impure income earned from specific Sharīʿah non-compliant products or services has not been considered directly. The reason for this is that companies dealing in such products or services are generally excluded at the business screening stage itself. In the case of those companies which derive a relatively small proportion of their total income from such activities and pass the business screening stage, the quantum of the impure income is not generally reported separately in company accounts.

The result of adopting the proposed methodology will lead to complete purging of impure income (to the extent that is possible under present Company Law and stock exchange reporting regulations). Implementation of the proposed method requires a proper understanding of the working of listed companies and either a sound mathematical background or access to a software application to calculate the impure income to be purged.

The current paper is original and based on the authors’ personal understanding and experience of providing Sharīʿah consultancy services related to Sharīʿah-compliant investments.

Cognitive computing is part of AI and cognitive applications consists of cognitive services, which are building blocks of the cognitive systems. These applications mimic the human brain functions, for example, recognize the speaker, sense the tone of the text. On this paper, we present the similarities of these with human cognitive functions. We establish a framework which gathers cognitive functions into nine intentional processes from the substructures of the human brain. The framework, underpins human cognitive functions, and categorizes cognitive computing functions into the functional hierarchy, through which we present the functional similarities between cognitive service and human cognitive functions to illustrate what kind of functions are cognitive in the computing. The results from the comparison of the functional hierarchy of cognitive functions are consistent with cognitive computing literature. Thus, the functional hierarchy allows us to find the type of cognition and reach the comparability between the applications.

Research indicates a significant risk of economic crime associated with post-disaster funding. The purpose of this paper is to assess the characteristics of post-disaster funding that make it susceptible to the risk of economic crime and to analyse how the statutory and regulatory disaster risk management instruments of South Africa aim to manage post-disaster events.

This paper uses secondary sources such as, but not limited to, legislation, institutional reports, textbooks and peer-reviewed academic journal articles.

Post-disaster funding is inherently susceptible to economic crime due to characteristics identified such as time pressure; substantial inflow of money, goods and services; inadequate needs assessment, large-scale reconstruction and the involvement of contractors or suppliers; power imbalance; and the responsibility of governments. The Disaster Management Act and National Disaster Management Framework provide an extensive regulatory framework for mitigating post-disaster funding risks by attempting to find a balance between quick aid distribution and financial controls. This paper finds that even though South Africa is known to have some of the best disaster risk management laws, the pervasive nature of the characteristics could still render post-disaster funding structures susceptible to the risk of economic crime.

There is limited scientific research on this topic. The expected prevalence of future disasters requires the regulatory and legislative disaster risk management instruments to evolve concomitantly. Research on this topic must continue to ensure that risks associated with post-disaster funding and its susceptibility to economic crime can be mitigated as far as possible.

The emergence of artificial intelligence (AI) is leading to a job transformation within the service ecosystem in which issues related to AI governance principles may hinder the social sustainability of the sector. The relevance of AI startups in driving innovation has been recognized; thus, this paper aims to investigate whether and how AI startups may influence the sustainable social development (SSD) of the service sector.

An empirical study based on 24 in-depth interviews was conducted to qualitatively explore the perceptions of service sector facing AI policymakers, AI consultants and academics (n = 12), as well as AI startups (founders, AI developers; n = 12). An inductive coding approach was used to identify and analyze the data.

As part of a complex system, AI startups influence the SSD of the service sector in relation to other stakeholders’ contributions for the ethical deployment of AI. Four key factors influencing AI startups’ ability to contribute to the SSD of the service sector were identified: awareness of socioeconomic issues; fostering decent work; systematically applying ethics; and business model innovation.

This study proposes measures for service sector AI startups to promote collaborative efforts and implement managerial practices that adapt to their available resources.

This study develops original guidelines for startups that seek ethical development of beneficial AI in the service sector, building upon Ethics as a Service approach.

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 analyse the main components of the regulatory framework for Islamic banking in Mauritius. This small island state of the Indian Ocean aspires to host Islamic banking products while diversifying the range of financial services offered within its hybrid jurisdiction despite having a minority Muslim population. The study also aims at drawing some comparisons with the well-established regulatory framework that applies to conventional banking.

In this qualitative analysis of the regulatory framework of Islamic banking in Mauritius, the doctrinal approach is adopted. This method relies principally on a scrutiny of the provisions of the law and delves into the primary and secondary sources of law guiding Islamic banking practices in the Mauritian jurisdiction.

The research study concludes that, with the view of encouraging investors into Islamic banking, policymakers took some regulatory initiatives but these remained timid. These initiatives relied too often on borrowing from the regulatory framework in place for conventional banking practices instead of regulating the area within its own precepts. Prospects for expanding Islamic banking exist but will require more audacious regulatory steps so as to secure the environment within which Islamic banking is to flourish. In the meantime, the industry is in a status quo position with no further legal action currently being envisaged to re-launch this area.

This research study is among the first generated specifically on the regulatory framework of Islamic banking in a small financial centre that operates mostly offshore financial activities. Previous research work either focused on the empirical analysis or on reviewing the challenges and the prospects but no study has provided an in-depth analysis of the regulatory provisions circumscribing Islamic banking. This lacuna is being filled up by this research paper which highlights the regulatory needs of Islamic banking and comments on the inclusion of and the need for specific rules related to Islamic finance instead of relying on the overlap with conventional banking laws.

This study aims to discuss science governance in Europe and the network of associated nonprofit institutions. The authors posit that this network, which comprises both (partial) learning organizations and non-learning organizations, has been observed to postpone taking up “responsibility” as an issue in science governance and funding decisions.

This paper discusses the challenge of learning and policy implementation within the European science governance system. By exploring how learning on responsible innovation (RI) in this governance system can be provoked, it addresses the question how Senge’s insights in organizational learning can clarify discourses on and practices of RI and responsibility in research. This study explores the potential of a new organizational form, that of Social Labs, to support learning on Responsible Research and Innovation (RRI) in standing governance organizations.

This study concludes that Social Labs are a suitable format for enacting the five disciplines as identified by Senge, and a Social Lab may turn into a learning organization, be it a temporary one. Responsibility in research and innovation is conducive for learning in the setting of a Social Lab, and Social Labs act as intermediary organizations, which not merely pass on information among actors but also actively give substantive shape to what they convey from a practice-informed, normative orientation.

This empirical work on RRI-oriented Social Labs therefore suggests that Social Lab–oriented temporary, intermediary learning organizations present a promising form for implementing complex normative policies in a networked, nonhierarchical governance setting.

Based on this research funding and governance organizations in research, policy-makers in other domains may take up and create such intermediary organizations to aid learning in (science) governance.

This research suggests that RRI-oriented Social Labs present a promising form for implementing complex normative policies, thus integrate learning on and by responsible practices in various governance settings.

European science governance is characterized by a network of partial Learning Organization (LOs) and Non-Learning Organization (nLOs) who postpone decision-making on topics around “responsibility” and “solving societal challenges” or delegate authority to reviewers and individual actors, filtering possibilities for collaborative transformation toward RRI. social lab (SLs) are spaces that can address social problems or social challenges in an open, action-oriented and creative manner. As such, they may function as temporary, intermediary LOs bringing together diverse actors from a specific context to work on and learn about issues of science and society where standing organizations avoid doing so. Taken together, SLs may offer temporary organizational structures and spaces to move beyond top-down exercise of power or lack of real change to more open, deliberative and creative forms of sociopolitical coordination between multiple actors cutting across realms of state, practitioners of research and innovation and civil society. By taking the role of temporary LOs, they may support existing research and innovation organizations and research governance to become more flexible and adaptive.

Money laundering continues to emerge as a transnational phenomenon that has harmful consequences for the global economy and society. Despite the theoretical and practical magnitude of money laundering, international business (IB) research on the topic is scarce and scattered across multiple disciplines. Accordingly, this study aims to advance an integrated understanding of money laundering from the IB perspective.

The authors conduct a systematic review of relevant literature and qualitatively analyze the content of 57 studies published on the topic during the past two decades.

The authors identify five streams (5Cs) of research on money laundering in the IB context: the concept, characteristics, causes, consequences and controls. The analysis further indicates six theoretical approaches used in the past research. Notably, normative standards and business and economics theories are dominant in the extant research.

The authors review the literature on an under-researched but practically significant phenomenon and found potential for advancing its theoretical foundations. Hence, the authors propose a 5Cs framework and a future agenda for research and practice by introducing 21 future research questions and two plausible theories to help study the phenomenon more effectively in the future.

In practical terms, the study extends the understanding of the money laundering phenomenon and subsequently helps mitigating the problem of money laundering in the IB environment, along with its harmful economic and societal impacts.

The authors offer an integrative view on money laundering in the IB context. Additionally, the authors emphasize wider discussions on money laundering as a form of mega-corruption.

This study aims to investigate the impact of environmental performance, social responsibility and corporate governance (ESG) on bank performance (BP) in the Italian banking sector. It analyzes the relationships between 10 dimensions of ESG pillars and BP indicators during the period 2016–2020.

This study examines a sample of 105 Italian banks and develops three econometric models to verify the effect of ESG initiatives on BP indicators. The independent variables are the ESG dimensions collected from the Refinitiv database, whereas the explanatory variables are performance indicators measured through accounting and market variables.

The findings show that ESG policies negatively affect operational and market performance in the banking sector, suggesting that Italian banks have not fully embraced strong sustainability procedures. However, the relationships between ESG dimensions are mixed if measured individually. The results show a significant positive impact of emission and waste reductions on financial and operating performance, but regarding social aspects, it is proved that better product responsibility decreases accounting performance.

This study offers an in-depth examination of ESG practices in relation to current and future performance. In particular, the findings provide practitioners and academics with an actual set of predictors in the ESG area to improve BP.

To the best of the authors’ knowledge, this is the only study that has investigated the impact of ESG issues on BP in Italy. Few prior studies have used all dimensions of ESG policies at a disaggregated level to investigate their effect on various performance indicators.