Green Algorithms: The Impact of Artificial Intelligence on Environmental Sustainability DOI Creative Commons
Syed Imran Zaman,

Shafaq Tariq Jadoon,

Sharfuddin Ahmed Khan

et al.

Published: Oct. 24, 2024

This study examines how artificial intelligence (AI) can support environmental sustainability. Many businesses use AI technologies to enhance sustainability and motivate customers adopt eco-friendly practices. We investigate these factors affect the adoption of sustainable products through an empirical involving a variety types consumers. Our study's findings have major implications for academic business communities. Marketing professionals decision-makers learn substantial information about engage advance well-being. Organizations create targeted strategies that promote behaviors positive impact on environment by understanding influence product adoption.

Language: Английский

The impact of banking financial leverage on firm’s performance: The moderating role of artificial intelligence DOI Open Access
Osama Samih Shaban, Zaid Al-hawatmah

Risk Governance and Control Financial Markets & Institutions, Journal Year: 2024, Volume and Issue: 14(2), P. 99 - 106

Published: Jan. 1, 2024

Exploring the intricate and multifaceted dynamics between financial leverage (LEV), artificial intelligence (AI), firm performance, this research paper delves into complex relationship highlighted in existing literature. To enhance comprehension, study seeks to investigate moderating influence of AI on relationship, aiming provide insights how businesses can strategically optimize interplay attain optimal performance levels. The community consisted all 13 Jordanian commercial banks listed Amman Stock Exchange (ASE) for period from 2012 2021. sample 130 observations collected annual reports sample. method adopted involved conducting a regression analysis test hypotheses determine strength direction variables. main finding was that there is negative as indicated by coefficient return assets (ROA). Additionally, found use has positive effect equity (ROE). generalizability findings other demographics or situations may be constrained sample’s narrow focus, which not necessarily indicative types industries.

Language: Английский

Citations

0

Ethical Use of Artificial Intelligence in Organizations DOI
Seher UÇKUN,

Gazi Uçkun,

Sebahattin Kılınç

et al.

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 147 - 168

Published: Aug. 29, 2024

The expectation of high performance, efficiency and innovation brought by the desire for sustainable competition advantage fuels continuous change development. However, technologies such as AI facilitate many functions organizations. While increase in organizational processes, they also generate some threats. With use AI, factors that anxiety employees/customers come to fore. widespread consequences fear losing job, privacy violations, obtaining erroneous ineffective information due faulty algorithms may occur. negative situations be encountered with differ. fact is still very new increases responsibilities leaders this regard. can In respect, leader's observations research enable them develop proactive strategies. study, discussion strategies management ethical was made according literature review method. Scientific publications, articles, books, reports obtained keywords determined were systematically examined.

Language: Английский

Citations

0

AI-Driven Strategic Management and Decision Making for Energy Sector DOI
Sarp Zülfikaroğlu

Next frontier., Journal Year: 2024, Volume and Issue: 8(1), P. 91 - 91

Published: Nov. 7, 2024

The energy sector faces unprecedented challenges, including volatile market conditions, fluctuating resource availability, and the urgent need for sustainable transition. Artificial intelligence (AI) offers transformative potential in addressing these challenges by enhancing strategic management decision-making processes. This research explores integration of AI-driven tools methodologies into practices sector, focusing on optimization, predictive analytics, automated decision systems. By leveraging machine learning, neural networks, data-driven modeling, AI can provide actionable insights supply chain demand forecasting, risk assessment, sustainability planning. study examines real-world case studies employs econometric computational models to evaluate effectiveness applications improving operational efficiency, cost-effectiveness, environmental outcomes. Additionally, investigates ethical implications, regulatory considerations, barriers adoption this critical sector. findings aim guide companies aligning strategies with long-term goals, fostering innovation, promoting resilience an evolving global landscape.

Language: Английский

Citations

0

AI in Climate Change With Advancing Mitigation Tactics and Adaptive Strategies DOI

Shayut Pavapanunkul,

Anjali Raghav, Richa Raghav

et al.

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Nov. 1, 2024

AI is acknowledged as an essential tool in the fight against climate change for developing mitigation and adaptive measures. mechanisms remain riddles wrapped enigma, but their potential clear. can make sense of vast amounts data to improve modeling, leading more accurate forecasts extreme weather or environmental changes. This empowers communities policymakers plan effective adaptation strategies, such timely disseminating warnings about impending natural disasters judicious resource management. applications are fast shaping a new, sustainable global energy landscape, from optimizing renewable sources shrinking carbon footprints. However, application action also raises ethical dilemmas like biased that further widen existing inequalities. To address these challenges, it crucial systems built governed ethically transparently.

Language: Английский

Citations

0

Green Algorithms: The Impact of Artificial Intelligence on Environmental Sustainability DOI Creative Commons
Syed Imran Zaman,

Shafaq Tariq Jadoon,

Sharfuddin Ahmed Khan

et al.

Published: Oct. 24, 2024

This study examines how artificial intelligence (AI) can support environmental sustainability. Many businesses use AI technologies to enhance sustainability and motivate customers adopt eco-friendly practices. We investigate these factors affect the adoption of sustainable products through an empirical involving a variety types consumers. Our study's findings have major implications for academic business communities. Marketing professionals decision-makers learn substantial information about engage advance well-being. Organizations create targeted strategies that promote behaviors positive impact on environment by understanding influence product adoption.

Language: Английский

Citations

0