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This study aims to examine the value orientations of New Zealand agribusiness investors and how these orientations influence their reactions to the environmental and social implications of agribusinesses.

In the context of the New Zealand agricultural sector, the views of investors as published in print and broadcast media between 2018 and 2022 are gathered. The study uses qualitative content analysis to analyse the data. The study is based on the value-belief-norm theory.

The study reveals that New Zealand agribusiness investors express concern about the environmental (biospheric) and social (altruistic) impacts of the agribusiness sector, prompting calls for greater transparency, climate adaptation and ethical investment options. Additionally, they actively support local businesses to benefit their communities and preserve cultural heritage. Despite these biospheric and altruistic tendencies, investors also prioritise financial and non-financial interests (egoistic). This highlights a nuanced perspective guiding their investment choices – a balance between self-interest and contributing to the greater good. This signals a shift towards socially and environmentally responsible investment practices driven by multifaceted values.

The findings of this study highlight the role of non-pecuniary motives, like values, in determining the relevance of environmental and social information.

The study’s findings offer insight to agribusinesses on how investors’ value orientations shape their investment decisions. This understanding can guide businesses in framing a reporting strategy that enhances the likelihood of investors perceiving reporting as relevant and persuasive, thereby attracting more investments. In turn, this tailored reporting approach assists investors in making well-informed decisions in assessing the environmental and societal risks of agribusinesses.

The study offers a framework explaining how agribusinesses can increase the likelihood of investors finding firms reporting relevant and persuasive, leading to increased investments in environmentally and socially sustainable practices.

We explore how sustainable management education (SME) can help prepare future leaders to manage crises effectively. Precisely, the intricacies of articulating moral and economic imperatives for businesses in a manner that engages students in sustainable behavior are a serious challenge for SME. We study how to integrate reminders of moral and economic imperatives in a socially responsible investment (SRI) stock-picking simulation created for SME.

Adopting an experimental design, we analyzed how the reminders affected the average environment social governance (ESG) integration in the portfolios of 127 graduate students in finance over a twelve-week period.

Our results show how essential it is to balance the two imperatives. The highest level of sustainable investment is attained when utilizing both reminders.

Our findings have practical implications for implementing and organizing SME in business schools to educate responsible leaders who are able to effectively manage crises. Learning responsible management is most effective when students are exposed to the inherent tension between moral and economic imperatives. Hence, our findings corroborate the win-win conception of SME.

No management decision study has experimentally measured the effects of SME practices on students' actual behavior. Our research fills this gap by complementing previous studies on the effectiveness of teaching practices, first by drawing on behavioral sciences and measuring changes in students' actual sustainability behavior and second by introducing moral and economic imperatives into an innovative teaching resource (TR) dedicated to SME.

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.

This conceptual paper aims to delineate a comprehensive blueprint for the integration of environmental, social and governance (ESG) principles within the framework of Takaful operations, guided by the principles of Maqasid al-Shariah. The primary purpose is to establish a robust foundation for the sustainable transformation of Takaful, aligning it with ethical finance and Islamic values.

Using a theoretical research approach, this study delves into the multifaceted dimensions of ESG principles and the principles of Maqasid al-Shariah within the context of Takaful operations. The 17 SDGs/ESG principles and Maqasid al-Shariah are integrated to give a thorough framework for comprehending the disclosure index from western and Islamic ethical viewpoints. The research critically analyses current literature, scholarly works and authoritative sources, drawing inspiration from established approaches. Qualitative content analysis examines and compiles pertinent ideas, and the expert validates the disclosure index. It identifies key convergence, compatibility and divergence points between ESG principles and Maqasid al-Shariah to construct a comprehensive framework for Maqasid-driven ESG integration in Takaful.

The paper presents a well-defined blueprint for Maqasid-driven ESG integration in Takaful, revealing substantial areas of alignment between the two frameworks. This alignment is particularly pronounced in protecting life, religion, intellect, lineage and wealth. The blueprint underscores the potential of harmonising ESG principles with the principles of Maqasid al-Shariah, providing Takaful operators with a roadmap for enhancing their ethical credibility, societal impact and environmental stewardship.

The blueprint outlined in this study opens new avenues for research at the intersection of Islamic ethics, responsible finance and sustainable development and signals the necessity of developing a standardised disclosure index. This index will serve as a vital tool for Takaful operators to transparently communicate their commitment to ethical and sustainable practices, facilitating a deeper understanding of Maqasid-driven ESG integration and bolstering transparency for all stakeholders. Further research into this disclosure index’s practical implementation, empirical validation and strategic implications is encouraged to advance responsible finance within the Takaful industry.

The proposed blueprint provides Takaful operators with a practical guide to align their operations with both ethical finance and Islamic principles. Embracing the principles of responsible governance, societal welfare and environmental sustainability, Takaful operators can enhance their product offerings, attract socially conscious stakeholders and contribute positively to both financial and ethical objectives.

Integrating Maqasid-driven ESG principles in Takaful signifies a commitment to broader social well-being. Through initiatives aimed at safeguarding life, religion, intellect, lineage and wealth, Takaful operators can play a pivotal role in fostering social cohesion, empowering communities and actively contributing to sustainable development goals.

This conceptual paper contributes to the field by presenting a unique blueprint for integrating ESG principles within Takaful operations, guided by Maqasid al-Shariah. The novelty of this approach lies in its holistic perspective on ethical finance, aligning Islamic values with contemporary global ethical imperatives. The blueprint offered here represents an original framework for responsible Takaful practices that resonate with evolving ethical standards and the enduring principles of Islamic finance.

This study aims to empirically investigates the effect of the COVID-19 pandemic on ethical and nonethical stocks in Indonesia. Ethical stocks which are characterized by moral-based companies’ activities and lower debt are expected to have better resilience during the COVID-19 crisis compared to nonethical stock.

This study observes 589 firms of ethical and nonethical stock during sample periods ranging from March 2, 2020 (first case announced) to June 30, 2021. Panel regression, with some control variables, was applied.

Testing firms in Indonesia revealed a significant difference in stock resilience, in which ethical stock has a better resilience compared to nonethical, with Islamic socially responsible investment (SRI) stock having the highest resilience, followed by Islamic stock and then SRI stock. This study documents a significant effect of some financial criteria on the stock resilience, namely, return market (RM), market capitalization (MCAP) and share turnover (TURN). Overall, after splitting the sample into different time horizons, this study consistently reveals that ethical firms have better resilience compared to nonethical stocks.

This study makes several contributions to the literature on Islamic finance, especially concerning Islamic screening with SRI factors. In practical terms, this study supports the argument that focusing on integrating environmental, social and governance criteria in sharia screening will improve the quality of Islamic firms. The “Islamic” label is not only a marketing label but also a quality certification.

This study can be used as a reference for developing Islamic finance more focused on sustainability issues including socioeconomic and human development by improving the quality of screening of Islamic firms. Therefore, this study suggests that the establishment of Islamic SRI index is very crucial and significant to promote ethical-based investment.

This paper aims to market analysis on the base many factors. Market analysis must be done correctly to increase the efficiency of smart grid technologies. On the other hand, it is not very possible for the company to make improvements for too many factors. The main reason for this is that businesses have constraints both financially and in terms of manpower. Therefore, a priority analysis is needed in which the most important factors affecting the effectiveness of the market analysis will be determined.

In this context, a new fuzzy decision-making model is generated. In this hybrid model, there are mainly two different parts. First, the indicators are weighted with quantum spherical fuzzy multi SWARA (M-SWARA) methodology. On the other side, smart grid technology investment projects are examined by quantum spherical fuzzy ELECTRE. Additionally, facial expressions of the experts are also considered in this process.

The main contribution of the study is that a new methodology with the name of M-SWARA is generated by making improvements to the classical SWARA. The findings indicate that data-driven decisions play the most critical role in the effectiveness of market environment analysis for smart technology investments. To achieve success in this process, large-scale data sets need to be collected and analyzed. In this context, if the technology is strong, this process can be sustained quickly and effectively.

It is also identified that personalized energy schedule with smart meters is the most essential smart grid technology investment alternative. Smart meters provide data on energy consumption in real time.

The purpose of this paper is to consider the ethical and environmental implications of allowing space resource extraction to disrupt existing fuel economies, including how companies can be held accountable for ensuring the responsible use of their space assets. It will also briefly consider how such assets should be taxed, and the cost/benefit analyses required to justify the considerable expense of supporting this emerging space industry.

This paper adopts theoretical bioethics methodologies to explore issues of normative ethics and the formulation of moral rules to govern individual, collective and institutional behaviour. Specifically, it considers social justice and social contract theory, consequentialist and deontological accounts of ethical evaluation. It also draws on sociological and organisational literature to discuss Dowling and Pfeffer’s (1975) and Suchman’s (1995) theories of pragmatic, cognitive and moral legitimacy as they may be applied to off-world mining regulations and the handling of space assets.

The findings of this conceptual paper indicate there is both a growing appetite for tighter resource extraction regulations to address climate change and wealth concentration globally, and an opportunity to establish and legitimise new ethical norms for commercial activity in space that can avoid some of the challenges currently facing fossil fuel divestment movements on Earth.

By adopting methodologies from theoretical bioethics, sociology and business studies, including applying a legitimacy lens to the issue of off-world mining, this paper synthesises existing knowledges from these fields and brings them to the new context of the future space resource economy.

This paper aims to examine the relationship between environmental, social and governance (ESG) performance and systemic risk sensitivity of Chinese listed companies. From the consumer loyalty and investor structure perspectives, the relationship between ESG performance and systemic risk sensitivity is analyzed.

Since Morgan Stanley Capital International (MSCI) ESG officially began to analyze and track China A-shares from 2018, 275 listed companies in the SynTao Green ESG testing list for 2015–2021 are selected as the initial model. To measure the systematic risk sensitivity, this study uses the beta coefficient, from capital asset pricing model (CPAM), employing statistics and data (STATA) software.

The study reveals that high ESG rating companies have high corresponding consumer loyalty and healthy trading structure of institutional investors, thereby the systemic risk sensitivity is lower. This paper reveals that companies with high ESG rating are significantly less sensitive to systemic risk than those with low ESG rating. At the same time, ESG has a weaker impact on the systemic risk of high-cap companies than low-cap companies.

The study helps the companies understand the influence of market value on the relationship between ESG performance and systemic risk sensitivity. Moreover, this paper explains explicitly why ESG performance insulates a firm’s stock from market downturns with the lens of consumer loyalty theory and investor structure theory.

The paper provides new insights on the company’s ESG performance that significantly affects the company’s systemic risk sensitivity.

The aim of this study is to identify environmental, social and governance (ESG)-focused funds that can effectively uphold ethical principles while also delivering competitive financial returns by evaluating the performance of 24 well-established exchange-traded funds (ETFs). The study also compares the performance of four widely recognized ETFs representing NASDAQ (ticker: QQQ), S&P500 (SPY), Dow Jones (DIA) and Russell 2000 (IWM) with the sample of 24 ESG funds.

This paper utilizes four complementary measures, namely Sharpe, Sortino, Omega and Calmar ratios, to assess the risk-adjusted return performance of ETFs, with a particular emphasis on extreme downside risk.

The findings indicate that ESG-focused ETFs can predominantly outperform DIA and IWM in the last five years (1 November 2018–22 March 2023). However, when compared to QQQ and SPY, only ICLN, SUSA and DSI consistently delivered competitive risk-adjusted returns. The performance of DSI and SUSA is almost equivalent to QQQ and SPY even during the last ten years.

The paper conducts a risk-return analysis of alternative ESG investment funds, suggesting that not all ETFs are created equal and that careful selection is vital for achieving different investment objectives. It is imperative to recognize that past performance is not a reliable indicator of future outcomes, requiring consideration of other factors in the post-evaluation phase.

The study provides evidence to support the “doing well while doing good” hypothesis, indicating that competitive returns are achievable while also engaging in socially responsible investment.

This study fills a vital gap in the literature on ESG investment by highlighting that the choice of funds stands as the primary factor responsible for the conflicting findings by previous studies.

This study aims to explore the effects of responsible international investment in a least developed country (LDC) on ethics and corruption in the local industry. While investment growth in least developed countries (LDCs) is essential to meet the United Nations Sustainable Development Goals, international investment in LDCs poses challenges, including corruption. The authors explore perspectives from relevant stakeholders on the influence, if any, on an LDC’s banking sector, of investment in the LDC by a multinational bank with an environmental, social and governance focus – using a case study of Standard Chartered Bank (SCB) in Nepal.

The authors conducted thematic analysis on: focus groups with current and former SCB Nepal management; semi-structured interviews with Nepal banking regulator representatives; senior staff from SCB global divisions; and management of other commercial banks in Nepal.

Knowledge transfer, organisational enablers and constructive international competition contributed to the dissemination of best practices within the Nepal banking sector, supporting the notion of beneficial spill-over effects of multinationals on LDC host countries.

Practical insights will aid LDC governments, international businesses, investment funds and donor organisations seeking to invest in/assist LDCs with economic development.

To the best of the authors’ knowledge, this may be the first case study on ethics and anti-corruption practices of a multinational bank in a LDC. Through a practice-driven focus, the authors provide “on-the-ground” insights to better understand the complex nature of corruption.