A topic modeling and scientometric analysis of microfoundations of strategy research

Venugopal, Ajith; Gopinathan, Sreehas; Al-Shammari, Marwan; Shah, Tushar R.

doi:10.1007/s11301-023-00379-9

Manag Rev Q

2023

DOI: 10.1007/s11301-023-00379-9

|View full text |Cite

A topic modeling and scientometric analysis of microfoundations of strategy research

Ajith Venugopal,

Sreehas Gopinathan,

Marwan Al-Shammari

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 83 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Green and sustainable AI research: an integrated thematic and topic modeling analysis

Raman,

Pattnaik,

Lathabai

et al. 2024

J Big Data

View full text Add to dashboard Cite

This investigation delves into Green AI and Sustainable AI literature through a dual-analytical approach, combining thematic analysis with BERTopic modeling to reveal both broad thematic clusters and nuanced emerging topics. It identifies three major thematic clusters: (1) Responsible AI for Sustainable Development, focusing on integrating sustainability and ethics within AI technologies; (2) Advancements in Green AI for Energy Optimization, centering on energy efficiency; and (3) Big Data-Driven Computational Advances, emphasizing AI’s influence on socio-economic and environmental aspects. Concurrently, BERTopic modeling uncovers five emerging topics: Ethical Eco-Intelligence, Sustainable Neural Computing, Ethical Healthcare Intelligence, AI Learning Quest, and Cognitive AI Innovation, indicating a trend toward embedding ethical and sustainability considerations into AI research. The study reveals novel intersections between Sustainable and Ethical AI and Green Computing, indicating significant research trends and identifying Ethical Healthcare Intelligence and AI Learning Quest as evolving areas within AI’s socio-economic and societal impacts. The study advocates for a unified approach to innovation in AI, promoting environmental sustainability and ethical integrity to foster responsible AI development. This aligns with the Sustainable Development Goals, emphasizing the need for ecological balance, societal welfare, and responsible innovation. This refined focus underscores the critical need for integrating ethical and environmental considerations into the AI development lifecycle, offering insights for future research directions and policy interventions.

show abstract

Green and sustainable AI research: an integrated thematic and topic modeling analysis

Raman,

Pattnaik,

Lathabai

et al. 2024

J Big Data

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A topic modeling and scientometric analysis of microfoundations of strategy research

Cited by 1 publication

References 83 publications

Green and sustainable AI research: an integrated thematic and topic modeling analysis

Green and sustainable AI research: an integrated thematic and topic modeling analysis

Contact Info

Product

Resources

About