Artificial Intelligence Integration in Sustainable Business Practices: A Text Mining Analysis of USA Firms

被引:3
作者
Balcioglu, Yavuz Selim [1 ]
Celik, Ahmet Alkan [2 ]
Altindag, Erkut [3 ]
机构
[1] Gebze Tech Univ, Fac Business Adm, Dept Management Informat Syst, TR-41400 Gebze, Turkiye
[2] Dogus Univ, Fac Econ & Adm Sci, TR-34775 Umraniye, Turkiye
[3] Istanbul Beykent Univ, Fac Commun, New Media Dept, TR-34398 Sariyer, Turkiye
关键词
artificial intelligence; sustainable business; AI adoption; text mining; corporate sustainability; AI;
D O I
10.3390/su16156334
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Artificial Intelligence (AI) is transforming sustainable business strategies globally, yet its specific applications within American enterprises remain underexplored. This study examines the integration of AI in sustainability efforts across various industries in the USA from 2014 to 2022. By analyzing 263 sustainability reports from 41 leading Nasdaq-listed firms using advanced text mining techniques, we uncover nuanced insights into how AI is employed to address environmental and social challenges. Our findings reveal a strategic deployment of AI not only to enhance operational efficiency, but also to drive significant environmental improvements, such as optimizing renewable energy usage and mitigating emissions. Additionally, AI's impact extends to fostering workplace safety, enhancing diversity, and bolstering community initiatives. This research highlights the critical role of AI as a catalyst in advancing sustainable practices, providing a blueprint for other regions and industries aiming to leverage technology for greater sustainability.
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页数:18
相关论文
共 56 条
[1]  
Autor D., 2020, Building Better Jobs in an Age of Intelligent Machines
[2]  
Ayoubi H., 2023, E3S Web of Conferences, V412, P01053, DOI https://doi.org/10.1051/e3sconf/202341201053
[3]  
Bahja M., 2021, E BUSINESS HIGHER ED
[4]  
Bhattacharya P, 2020, 2020 THE 6TH IEEE INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM 2020), P235, DOI [10.1109/icim49319.2020.244704, 10.1109/ICIM49319.2020.244704]
[5]  
Bughin Jaques, 2017, ARTIF INTELL
[6]   A paradigm shift in the global strategy of MNEs towards business ecosystems: A research agenda for new theory development [J].
Cha, Hongryol .
JOURNAL OF INTERNATIONAL MANAGEMENT, 2020, 26 (03)
[7]   Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions [J].
Cioffi, Raffaele ;
Travaglioni, Marta ;
Piscitelli, Giuseppina ;
Petrillo, Antonella ;
De Felice, Fabio .
SUSTAINABILITY, 2020, 12 (02)
[8]   Worldwide AI ethics: A review of 200 guidelines and recommendations for AI governance [J].
Correa, Nicholas Kluge ;
Galvao, Camila ;
Santos, James William ;
Del Pino, Carolina ;
Pinto, Edson Pontes ;
Barbosa, Camila ;
Massmann, Diogo ;
Mambrini, Rodrigo ;
Galvao, Luiza ;
Terem, Edmund ;
de Oliveira, Nythamar .
PATTERNS, 2023, 4 (10)
[9]   To Be fAIr or Not to Be: Using AI for the Good of Citizens [J].
Cortes, Ulises ;
Cortes, Atia ;
Barrue, Cristian ;
Sanchez, Abraham ;
Moya-Sanchez, E. Ulises ;
Garcia-Gasulla, Dario .
IEEE TECHNOLOGY AND SOCIETY MAGAZINE, 2021, 40 (01) :55-70
[10]   Artificial intelligence in healthcare and education [J].
Dave, Manas ;
Patel, Neil .
BRITISH DENTAL JOURNAL, 2023, 234 (10) :761-764