Corporate Social Responsibility and Environmental Management最新文献

This study, which is anchored to Resource-Based View (RBV) theory, explores the relationship between artificial intelligence (AI), process optimization, organizational flexibility, and sustainability performance in organizational settings. Leveraging the RBV framework's focus on internal resources as sources of competitive advantage, this research seeks to clarify how AI adoption, process optimization, and organizational flexibility foster sustainable growth. SPSS PROCESS Macro was used to analyze the data from 288 organizations. The findings derived from the empirical data, this study verify the positive relationships between AI and process optimization as well as AI and sustainability performance, revealing the strategic nature of AI as a resource to improve operational effectiveness and environmental responsibility. Further, our results indicate the mediating role of process optimization and the moderating effect of organizational flexibility in determining the link between AI and sustainability outcomes. Moreover, results confirmed the indirect effects of AI on sustainability performance via process optimization under the boundary conditions of the organizational flexibility. These findings add to the developing literature of sustainable operational practices and provide practical suggestions that might be useful for the practitioners aiming at using AI driven by organizational capabilities to deliver sustainability performance.

Sustainable development is the primary goal of the current global economic transformation. The banking industry, as an intermediary institution within the financial system, not only serves as a crucial foundation for national economic development but also plays a key role in the global transition to sustainability and a low-carbon economy. Banks can leverage the influence of financing to direct funds towards sustainable ventures and simultaneously develop green financial products, guiding ordinary consumers to make more environmentally friendly choices. How the banking industry can effectively improve operational efficiency while considering sustainable development is one of the key focuses of ongoing development in the banking sector. The main aim of this study is to incorporate the aspect of sustainable development into the evaluation of operational efficiency, aligning with the goals of corporate sustainable development. It allows for an analysis of how decision-makers in the banking industry can adjust resources to maintain stable and sustainable profitability while promoting sustainable development. This study selected 13 financial holding banks and 19 non-financial holding banks in Taiwan as research subjects, covering the period from 2016 to 2021. Utilizing a meta assurance regions (AR) parallel dynamic two-stage slacks-based measure model with “operational stage” and “market and sustainability parallel stage,” the research explores the efficiency performance of banks considering sustainable development. It examines the differences in efficiency performance at various stages among different types of banks. The research findings are as follows: (1) among the banking industry in Taiwan, operational stage efficiency ranks the highest, followed by sustainable stage efficiency, while market stage performance lags behind. (2) Financial holding banks outperform non-financial holding banks on average in operational stage, market stage, and sustainable stage efficiency. (3) Fubon Financial, TFH, CATHAY HOLDINGS, and SKFH are benchmark performers among financial holding banks. (4) Non-financial holding banks exhibit a higher average technical gap ratio compared to financial holding banks, indicating that non-financial holding banks have fewer inefficient areas to improve. However, the technical efficiency of both groups of banks approaches each other over the years. (5) In the sustainable stage, financial holding banks demonstrate superior environmental indicators and corporate treatment efficiency compared to non-financial holding banks.

This paper investigates methodological issues and limited coverage of providers' environmental scores, which are increasingly employed by investors, financial institutions and policymakers for corporate environmental assessment. The contribution of the paper is twofold. First, regression analysis shows a substantial heterogeneity among the environmental scores of seven providers in the reliance on raw data. However, as some variables are found meaningful across providers, the request to enhance disclosure should focus on such variables. The heterogeneity of the unexplained component of the regression across providers can be arguably referred to as judgemental factors and underlines the providers' different focus on financial risk or environmental impact. Second, we propose a classification system based on corporate disclosure data that aims to enable investors to extend the environmental assessment of companies not rated by providers. This system has been calibrated to implement two common investment strategies, that is, best-in-class and exclusion and allows to build portfolios with both environmental and financial profiles similar to portfolios based on providers' scores. The work aims to contribute to the intersection between the analysis of methodologies of E-scores and their practical use for investment purposes. Rather than asking for a mirage of full comparability of E-scores, the paper substantiates that is of utmost importance to improve the disclosure of corporate data to enhance the environmental assessment as well as the transparency on providers' methodologies to enable investors to select E-scores consistent with their risk-impact preferences. Such transparency will foster the development of sustainable finance.

The circular economy (CE) presents a contemporary approach to integrating economic activity and environmental well-being sustainably, opposing the linear open-ended system. However, implementing this paradigm poses challenges, needing a fundamental shift in companies' strategies and business models. Emerging technology can support companies in transition toward CE and in particular artificial intelligence (AI) can play a crucial role in facilitating this transition by supporting companies not only in specific CE activities but also in strategically redefining their entire business models. Recognizing the increasing importance of both AI and CE in management literature, our paper seeks to integrate these two distinct streams of literature. Starting from existing studies, it tries to provide a framework able to understand the role of AI technology into enhancing CE. Through a systematic literature review using the Preferred Reporting Items for Systematic Review and Meta-Analysis protocol, using keywords research on three databases, we identified 63 articles that concurrently address both CE and AI topics. Subsequent co-occurrence and content analyses revealed how AI is utilized to bolster CE efforts leveraging the ReSOLVE framework (from the acronymous of Regenerate, Share, Optimise, Loop, Virtualise, and Exchange)—an operational tool for CE. The last step consists into the development of a conceptual framework outlining four stages of AI's engagement with the CE: namely System optimization, System redesign, Business Model redesign, and Ecosystem innovation. From our study emerges that while AI is already recognized for enhancing specific activities within CE, its potential as a strategic planning tool for business model redesign and ecosystem innovation remains largely unexplored.

The study builds and extends on the literature on the environment, corporate governance, and sustainability by examining how board attributes impact environmental sustainability disclosure (ESD) and, if so, whether each of the two strands of board attributes, namely, board diversity and structural attributes, influence ESD for manufacturing firms in the sub-Saharan Africa (SSA) region. Based on insights drawn from the human capital theory and board composition, the study developed a model that connects board attributes with ESD. Using a sample of 200 manufacturing firms from 2010 to 2022, the study found an inverse link between gender diversity and ESD, whereas a positive connection was seen between foreign nationals and ESD. Regarding structural attributes, an inverse link was found between board size and ESD, while a positive connection exists between the separation of the board chair from the chief executive officer and ESD. In summary, the findings urge policymakers in the SSA region to strengthen policies on board diversity and structural attributes to promote ESD. Moreover, the findings advise the board of directors to ensure effective and transparent disclosure of environmental-related issues to stakeholders to guarantee sustainable reporting practices.

Against the backdrop of driving global economic sustainability, corporate Environmental, Social, and Governance (ESG) performance has gradually emerged as a crucial theoretical and practical concern. This study aims to enrich the theoretical understanding of the correlation between corporate governance and ESG. Notably, the theoretical contribution is based on the relational contract theory, indicating the significance of the informal structure and implicit characteristics of the board of directors for corporate ESG performance. Using Chinese listed firms as samples, this study empirically examines and reveals a positive correlation between the informal board hierarchy and corporate ESG performance. Moreover, based on theoretical deduction, this study identifies internal control, innovation efficiency, and financial performance as important mechanisms through which the informal board hierarchy promotes corporate ESG performance. Further analysis indicates that in firms characterized by higher board interaction, lower shareholding concentration, and the combination of the roles of chairman and CEO, the promoting effect of the informal hierarchy on corporate ESG becomes significantly more pronounced. Our findings contribute to the understanding of relational contract theory in the field of corporate sustainability, enriching the literature on corporate governance and ESG, and providing decision-making references and practical insights for optimizing corporate development.

This paper provides fresh insights into the impact of corporate governance mechanisms on environmental, social and governance (ESG) disclosure practices of state-owned enterprises (SOEs). To accomplish this study's research objective, we collected ESG and corporate governance data from Refinitiv Eikon's database on a balanced sample of 253 SOEs from 37 worldwide countries over 5 years (2018–2022), obtaining a total of 1265 observations. A battery of fixed and random effects panel regression models has been estimated to test the impact of board characteristics, like board size, board independence, board gender diversity, number of board meetings, Chief Executive Officer (CEO) duality and the presence of a corporate social responsibility (CSR) committee, on overall and individual ESG disclosure scores of sampled SOEs. Results show that while board size and CEO duality negatively affect SOE ESG disclosure, board independence and gender diversity, as well as the number of board meetings and the existence of a CSR committee, exert a positive influence.

In the current business setting, companies must adopt new practices to remain competitive due to complex products, changing market demands, and stakeholder pressures. Many successful businesses are turning to sustainability-oriented innovations as a means of both increasing their growth potential and engaging in corporate social responsibility practices. This approach benefits both the company and society. However, the full potential of implementing sustainability practices through open innovation has yet to be fully explored, and the impact on firm value is unclear. Additionally, there is currently a lack of international standards for representing sustainability as an open innovation approach. This study aims to shed light on the potential benefits of adopting sustainable practices through the open innovation approach. We highlight the value that sustainable innovation can create and analyze a sample of European-listed companies from the STOXX Europe 600 Index from 2011 to 2020. Our findings show that the ESG score best represents sustainability as an open innovation approach. Moreover, we demonstrate that adopting sustainability as an open innovation approach practice positively impacts firm value. This suggests that companies can enhance their value and promote sustainable innovation success by embracing this approach. Overall, this paper contributes to the literature on sustainability and open innovation, specifically within the legitimacy theory framework. It emphasizes that stakeholder pressure to build a more sustainable and ethical economic system presents a challenge that can also be an opportunity for companies.

The corporate sector strives to improve its environmental, social, and governance (ESG) performance to transition from short-term to sustainable long-term profit maximisation. This study thus explores the impact of ESG performance on the financial sustainability (FS) of a sample of the top 100 global high-tech firms. Specifically, we employ the two-step generalised method of moments to control for endogeneity bias and a panel data fixed effects model to control for unobserved heterogeneity. Empirical findings reveal that overall ESG performance has a statistically negative association with the FS of global high-tech firms. Individual pillar-wise analysis reveals that the environmental and social (governance) pillar has a negative (positive) association with the FS of the sampled firms. This result proves that each ESG pillar exerts varying effects on corporate performance indicators. Overall, the results provide empirical evidence that could help policymakers devise policies for investing optimally in ESG indicators to spur corporate FS.

The prevailing environmental, social and governance (ESG) framework is currently based on micro-ESG indicators. Research on national ESG is often limited to theory building and policy analysis. Based on previous scholars, this paper constructs a national ESG index framework consisting of 39 indices and updates the national ESG indices for 121 countries worldwide from 1990 to 2021 using the entropy weight method, aiming to provide a set of instrumental indices that capture the status and evolution of national ESG performance. The research findings are as follows: First, the Gini coefficient shows that the gap between national ESG performance has gradually widened over time. Second, the kernel density distribution suggests that global ESG performance is on the rise. High-income countries are placing greater emphasis on ESG growth. Third, the results of the Markov transformation matrix suggest that there is a “club convergence” in ESG performance across countries.