Forthcoming Articles

International Journal of Generative Artificial Intelligence in Business

International Journal of Generative Artificial Intelligence in Business (IJGAIB)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.

Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.

Online First articles are also listed here. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.

Open AccessArticles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.

Register for our alerting service, which notifies you by email when new issues are published online.

(3 papers in press)

Regular Issues

  • Synthetic Dissonance Theory, how Generative AI use Produces Creativity Devaluation and Impostorism   Order a copy of this article
    by Rashid Shar Baloch  
    Abstract: Through the lens of synthetic dissonance, this study investigates how frequent use of generative artificial intelligence alters creative self-perception. The psychological tension that arises when people depend on algorithmic systems that both support and replace human creativity is known as synthetic dissonance. Building on this framework, the study examines whether the frequency of AI use influences perceived creative agency through two important mechanisms; algorithmic inferiority and AI-induced impostorism. The findings indicate that increased perceptions of algorithmic superiority and stronger impostor syndrome are linked to more frequent use of generative AI. These psychological reactions diminish individuals perception of creative authorship, ownership, and self-trust. GenAI may improve output, but it diminish creative identity. By theorising synthetic dissonance as a unifying construct, this study deepens understanding of the psychological consequences of human AI interaction and underscores the need to evaluate creativity not only in terms of performance, but also in terms of agency and identity.
    Keywords: Synthetic dissonance; GenAI; Perceived Creativity. AI induced imposterism; Algorithmic inferiority; Creative agency; Human AI interaction.
    DOI: 10.1504/IJGAIB.2026.10078393
     
  • AI-powered circular economy by enhancing resource efficiency and waste reduction   Order a copy of this article
    by S. Catherine Rex, K.P. Sajana , Seema Balan, Babitha Lucin Rani 
    Abstract: The transition to a circular economy necessitates innovative strategies to enhance resource efficiency and minimise waste. This article explores the transformative potential of artificial intelligence (AI) in achieving these goals. By integrating AI technologies into circular economy practices, organisations can optimise resource use and reduce waste through advanced predictive analytics, real-time monitoring, and intelligent automation. This conceptual framework bridges the resource management, waste reduction with AI-driven tools. It also examines the economic and environmental benefits derived from AI integration, highlighting how it contributes to cost savings and improved sustainability performance. To fill the gap in research this article employs a mixed-methods approach, combining quantitative analysis of resource efficiency and waste reduction metrics with qualitative insights from case studies and expert interviews to understand the generative AI’s role in enhancing the circular economy. The findings suggest that AI integration. significantly improves resource efficiency and waste reduction, offering both economic and environmental advantages. This article aims to offer practical suggestions for practitioners and policymakers to leverage AI in advancing circular economy goals, ultimately contributing to more sustainable and efficient business practices.
    Keywords: artificial intelligence; circular economy; resource efficiency; waste reduction; predictive analytics; sustainability.
    DOI: 10.1504/IJGAIB.2025.10079303
     
  • The social life of large language models: parasocial rupture and the retirement of GPT-4o   Order a copy of this article
    by Dag Øivind Madsen  
    Abstract: This article develops a conceptual framework for understanding parasocial rupture in large language model (LLM) transitions, focusing on OpenAI’s GPT-4o. Drawing on parasocial relationship theory, affective computing, and technology domestication, it develops the concept of the affective contract to describe users’ implicit expectations of stylistic and relational continuity in conversational AI. The analysis traces the August 2025 GPT-4o to GPT-5 rollout and the February 2026 retirement of GPT-4o from the ChatGPT interface, while preserving API availability. It argues that user backlash cannot be reduced to performance complaints alone; it also reflected perceived persona discontinuity and reduced agency. Petitions, hashtags, and grief-like discourse suggest that LLMs can acquire social lives extending beyond technical function. The paper argues that relational continuity has become a distinct dimension of platform stewardship in model transitions.
    Keywords: large language models; LLM; GPT-4o; parasocial rupture; affective contract; AI governance; model retirement; platform transitions.
    DOI: 10.1504/IJGAIB.2026.10079506
     

 

Return to top