University of Kwazulu-Natal

Exploring Value Creation Of Generative Artificial Intelligence In

Bonisiwe Shabane
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exploring value creation of generative artificial intelligence in

You have full access to this open access article The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology. Claims include artificial intelligence (AI) being poised to revolutionize business and society and dramatically change personal life. However, it is not clear how this technology, with its significantly distinct features from past AI technologies, has transformative potential or how researchers in information systems should react to it. In this paper, we consider the evolving and emerging trends of AI in order to examine its present and predict its future impacts. Many existing papers on GenAI are either too technical for most information systems researchers or lack the depth needed to appreciate the potential impacts of GenAI.

We, therefore, attempt to bridge the technical and organizational communities of GenAI from a system-oriented sociotechnical perspective. Specifically, we explore the unique features of GenAI, which are rooted in the continued change from symbolism to connectionism, and the deep systemic and inherent properties of human-AI ecosystems. We retrace the evolution of AI that proceeded the level of adoption, adaption, and use found today, in order to propose future research on various impacts of GenAI in both business and society within... Our efforts are intended to contribute to the creation of a well-structured research agenda in the information systems community to support innovative strategies and operations enabled by this new wave of AI. Avoid common mistakes on your manuscript. Artificial intelligence is an immensely transformative technology, affecting organizations and individuals in ways that are impossible to fully comprehend without the benefit of a long-term historical hindsight.

Artificial intelligence (AI) refers to the ability of computers to perform tasks that have historically required human cognition and other intellectual abilities, such as perception, abstraction, inference, learning, and decision making (Russell & Norvig,... AI is increasingly considered to be pinnacle of human science and engineering (Russell & Norvig, 2016). Industrial estimates are that the global economic value of AI will reach $15 trillion by 2030 (PwC, 2024). The importance of research in AI has long been recognized. It has even been suggested that the country that takes the global lead on AI may emerge as the world’s preeminent power (Savage, 2020). Progress of AI has followed a series of significant paradigm shifts, reflecting the broader trends in technology innovation and diffusion (Perez, 2010).

Before the 2000s, the field of AI underwent an “AI winter” due to stagnation in practical advances, during which AI research was primarily dominated by logic-based, model-driven learning, abstraction, and inference methods (Crevier, 1993). Since the 2000s, the ubiquity of large-scale, heterogenous data for training, the continuous expansion of computing power, and the progress in AI algorithm design, shifted the focus almost exclusively toward machine learning (ML) and... With its widespread adoption, ML has begun to rapidly transform organizations and even entire industries. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. López-Solís, O.; Luzuriaga-Jaramillo, A.; Bedoya-Jara, M.; Naranjo-Santamaría, J.; Bonilla-Jurado, D.; Acosta-Vargas, P.

Effect of Generative Artificial Intelligence on Strategic Decision-Making in Entrepreneurial Business Initiatives: A Systematic Literature Review. Adm. Sci. 2025, 15, 66. https://doi.org/10.3390/admsci15020066 López-Solís O, Luzuriaga-Jaramillo A, Bedoya-Jara M, Naranjo-Santamaría J, Bonilla-Jurado D, Acosta-Vargas P.

Effect of Generative Artificial Intelligence on Strategic Decision-Making in Entrepreneurial Business Initiatives: A Systematic Literature Review. Administrative Sciences. 2025; 15(2):66. https://doi.org/10.3390/admsci15020066 López-Solís, Oscar, Alberto Luzuriaga-Jaramillo, Mayra Bedoya-Jara, Joselito Naranjo-Santamaría, Diego Bonilla-Jurado, and Patricia Acosta-Vargas. 2025.

"Effect of Generative Artificial Intelligence on Strategic Decision-Making in Entrepreneurial Business Initiatives: A Systematic Literature Review" Administrative Sciences 15, no. 2: 66. https://doi.org/10.3390/admsci15020066 López-Solís, O., Luzuriaga-Jaramillo, A., Bedoya-Jara, M., Naranjo-Santamaría, J., Bonilla-Jurado, D., & Acosta-Vargas, P. (2025). Effect of Generative Artificial Intelligence on Strategic Decision-Making in Entrepreneurial Business Initiatives: A Systematic Literature Review.

Administrative Sciences, 15(2), 66. https://doi.org/10.3390/admsci15020066 Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT." When OpenAI introduced ChatGPT to the world in 2022, it brought generative artificial intelligence into the mainstream and started a snowball effect that led to its rapid integration into industry, scientific research, health care,...

What comes next for this powerful but imperfect tool? With that question in mind, hundreds of researchers, business leaders, educators, and students gathered at MIT’s Kresge Auditorium for the inaugural MIT Generative AI Impact Consortium (MGAIC) Symposium on Sept. 17 to share insights and discuss the potential future of generative AI. “This is a pivotal moment — generative AI is moving fast. It is our job to make sure that, as the technology keeps advancing, our collective wisdom keeps pace,” said MIT Provost Anantha Chandrakasan to kick off this first symposium of the MGAIC, a consortium...

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You have full access to this open access article The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology. Claims include artificial intelligence (AI) being poised to revolutionize business and society and dramatically chan...

We, Therefore, Attempt To Bridge The Technical And Organizational Communities

We, therefore, attempt to bridge the technical and organizational communities of GenAI from a system-oriented sociotechnical perspective. Specifically, we explore the unique features of GenAI, which are rooted in the continued change from symbolism to connectionism, and the deep systemic and inherent properties of human-AI ecosystems. We retrace the evolution of AI that proceeded the level of adop...

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Before the 2000s, the field of AI underwent an “AI winter” due to stagnation in practical advances, during which AI research was primarily dominated by logic-based, model-driven learning, abstraction, and inference methods (Crevier, 1993). Since the 2000s, the ubiquity of large-scale, heterogenous data for training, the continuous expansion of computing power, and the progress in AI algorithm desi...

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Effect of Generative Artificial Intelligence on Strategic Decision-Making in Entrepreneurial Business Initiatives: A Systematic Literature Review. Adm. Sci. 2025, 15, 66. https://doi.org/10.3390/admsci15020066 López-Solís O, Luzuriaga-Jaramillo A, Bedoya-Jara M, Naranjo-Santamaría J, Bonilla-Jurado D, Acosta-Vargas P.