Review of Managerial Science, Год журнала: 2025, Номер unknown
Опубликована: Фев. 28, 2025
Язык: Английский
Sustainability, Год журнала: 2022, Номер 15(1), С. 309 - 309
Опубликована: Дек. 25, 2022
Currently, sustainability is a vital aspect for every nation and organization to accomplish Sustainable Development Goals (SDGs) by 2030. Environmental, social, governance (ESG) metrics are used evaluate the level of an organization. According statistics, 53% respondents in BlackRock survey concerned about availability low ESG data, which critical determining organization’s level. This obstacle can be overcome implementing Industry 4.0 technologies, enable real-time data authentication, prediction, transparency, structured data. Based on review previous studies, it was determined that only few studies discussed implementation technologies evaluation. The objective study discuss significance report, evaluation In this regard, assimilation (Internet Things (IoT), artificial intelligence (AI), blockchain, big obtaining detailed presented progress advancement these ESG. On basis analysis, concludes consumers as most organizations develop inaccurate suggest digital have crucial role framing accurate report. After analysis conclusions drawn such investment has benefited from AI capabilities, previously relied self-disclosed, annualized company information susceptible inherent issues biases. Finally, article discusses recommendations implemented future work.
Язык: Английский
Процитировано
102
Sustainable Development, Год журнала: 2024, Номер 32(5), С. 4455 - 4468
Опубликована: Янв. 31, 2024
Abstract Asia–Pacific countries are experiencing rapid economic growth. Is this growth ESG (Environmental, Social, and Governance) factors‐based aligned growth? Therefore, study investigates the connections between indicators in East Asia Pacific South Asia. To achieve aim, we employed FMOLS, DOLS, AMG models. While model highlights significant long‐term positive effects of environmental (EFs) governance factors (GOVNF) on growth, FMOLS DOLS models emphasize substantial influence social (SOC) These findings underscore multifaceted nature offer valuable insights for policymakers aiming to align strategies with sustainable development goals (SDGs). Notably, GOVNF, components like control corruption, regulatory quality, rule law, government effectiveness, does not GDP developed nations, such as Japan, New Zealand, Australia. However, its significance is evident Afghanistan Sri Lanka. This result might stem from possibility that have historically addressed resolved issues corruption while these elements remain crucial determinants developing nations Empirical provide region's essential a guide implementing their policies factor‐based United Nations' SDGs. targets will make sustainable.
Язык: Английский
Процитировано
81
Sustainable Development, Год журнала: 2024, Номер 32(5), С. 5437 - 5451
Опубликована: Март 30, 2024
Abstract In this study, we investigate the impacts of ESG (environmental, social, and governance) factors on sustainable development goals (SDGs) for BRICS‐11 countries. The AMG, FMOLS, DOLS, ARDL models are applied. While found negative environmental (ENVf) SDGs Argentina, Ethiopia, China, positive social (SOCf) South Africa Argentina. Additionally, while governance (GOVNf) Iran, Saudi Arabia, United Arab Emirates. No significant relationships were between ENVf, SOCf, GOVNf Brazil, Russia, India, Egypt. These findings highlight nuanced SDGs, providing valuable insights policymakers emphasizing need country‐specific strategies. impact in China suggests that degradation may hinder development, underscoring importance balancing economic growth sustainability. This result can also be interpreted through Pollution Haven Hypothesis, which posits developing countries attract more foreign investments pollution‐intensive industries due to their less stringent regulations.
Язык: Английский
Процитировано
73
Sustainability, Год журнала: 2023, Номер 15(18), С. 13506 - 13506
Опубликована: Сен. 9, 2023
The United Nations Development Summit in 2015 adopted the “2030 Agenda for Sustainable Development”, establishing a framework Goals (SDGs) with aim of achieving coordinated economic, social, and ecological development worldwide by 2030. “environmental, governance” (ESG) approach is important within concept SDGs subject increasing attention from scholars. Despite China’s significant contributions to SDGs, it still faces numerous challenges terms environmental governance development. With ongoing digital technology, many Chinese enterprises aspire harness dividends transformation order achieve SDGs. In this study, we help companies understand how they can improve their ESG performance through transformation. We use sample A-share listed China 2011 2020 construct index profiling frequency digital-related words companies’ annual reports using textual analysis. Furthermore, empirically examine direct effect on level disclosure explore mediating dynamic capabilities impact performance. Empirical testing reveals that indeed has positive enterprises’ performance, technology innovation enhance such as green innovation, social responsibility, operational management. findings indicate need actively develop promote technologies obtain benefits transformation, company executives including advanced decision-making processes an effort management efficiency, thereby improving
Язык: Английский
Процитировано
44
Artificial Intelligence Review, Год журнала: 2024, Номер 57(4)
Опубликована: Фев. 28, 2024
Abstract The rapidly growing research landscape in finance, encompassing environmental, social, and governance (ESG) topics associated Artificial Intelligence (AI) applications, presents challenges for both new researchers seasoned practitioners. This study aims to systematically map the area, identify knowledge gaps, examine potential areas investigation focuses on three primary questions: main themes concerning ESG AI evolution of intensity interest these areas, application techniques specifically studies within finance domain. Eight archetypical domains were identified: (i) Trading Investment, (ii) Disclosure, Measurement Governance, (iii) Firm (iv) Financial Markets Instruments, (v) Risk Management, (vi) Forecasting Valuation, (vii) Data, (viii) Responsible Use AI. Distinctive found be employed across archetypes. contributes consolidating intersection ESG, AI, offering an ontological inquiry key takeaways practitioners researchers. Important insights include popularity crowding Investment domain, growth Data archetype, high despite its low publication count. By understanding nuances different archetypes, can better navigate this complex contribute a more sustainable responsible financial sector.
Язык: Английский
Процитировано
38
International Review of Financial Analysis, Год журнала: 2025, Номер unknown, С. 104036 - 104036
Опубликована: Фев. 1, 2025
Процитировано
6
Finance research letters, Год журнала: 2023, Номер 56, С. 104145 - 104145
Опубликована: Июнь 24, 2023
Язык: Английский
Процитировано
41
Sustainable Development, Год журнала: 2024, Номер unknown
Опубликована: Авг. 31, 2024
Abstract Interdisciplinary advancements, such as generative artificial intelligence (AI) and digital supply chains, can significantly contribute to achieving sustainable development goals (SDGs), particularly within tourism. This paper illuminates how it works well, focusing on the underexplored area of Environmental, Social, Governance (ESG) performance small medium‐sized tourism enterprises (SMEs) in China. Through a survey 429 international SMEs, we apply Resource‐Based View Dynamic Capabilities Theory investigate AI, ChatGPT, chains enhance innovation, collaboration, and, ultimately, ESG performance. The empirical findings underscore pivotal role AI augmenting via bolstering innovation collaboration chains. Additionally, moderating effect customer involvement positively influences relationship between chain By demonstrating these relations, our study contributes theoretical practical efforts toward broader achievement SDGs.
Язык: Английский
Процитировано
15
Industrial Marketing Management, Год журнала: 2024, Номер 117, С. 92 - 113
Опубликована: Янв. 2, 2024
Artificial Intelligence (AI) is a game-changing capability in industrial markets that can accelerate humanity's race against climate change. Positioned resource-hungry and pollution-intensive industry, this study explores AI-powered service innovation capabilities their overall effects. The develops validates an AI model, identifying three primary dimensions nine subdimensions. Based on dataset the fast fashion findings show significantly influence both environmental market performance, which performance acts as partial mediator. Specifically, results identify key elements of AI-informed framework for action how be used to develop range mitigation, adaptation resilience initiatives response
Язык: Английский
Процитировано
14
Technovation, Год журнала: 2024, Номер 132, С. 102976 - 102976
Опубликована: Фев. 27, 2024
Businesses are increasingly integrating sustainability – or Environmental, Social, Governance (ESG) into existing strategies developing separate strategies. Simultaneously, they reporting on their related impacts, and the use of scenarios is becoming more common both in strategy development risk assessments aimed at reporting. However, value approaches to scenario analysis main ESG frameworks questionable. They tend be technically oriented not conducive explaining communicating key strategically important aspects futures sought understood, which overlooks other critical dimensions such as social equity inclusive economic growth. Furthermore, for promoting innovation. This article examines current scenarios, focusing business practices, while also emphasising need ambitious utilise potential science fiction process. I propose a practical, pragmatic, "non-ideal" version that a) an improvement practices b) accessible useful companies wanting utilize without extensive resources inclination rely heavily external experts. culminates recommendation adopt comprehensive approach than what found mainstream frameworks. By deepening engagement with organisations will able improve foundations processes, tightly coupled organisation's innovation management design processes. Most importantly, however, can help enable sustainable future. creating shaping imaginaries futures, become likely.
Язык: Английский
Процитировано
10