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Gen AI systems such as LLM’s, code assistants, image generators and personal assistants are growingly integrated with productivity and critical business applications across different domains of organizations such as security, testing, code review and automate day to day tasks. Their functionality depends on different training models, inputs and…

Abstract The use of Artificial Intelligence (AI), and more recently the rise of Generative AI (GenAI), is fundamentally transforming businesses. This study explores the emerging role of GenAI in business, identifying and analyzing concrete use cases from business practice. Despite recent growth, research on GenAI in business is still in its infancy and…

The rise of generative artificial intelligence (GenAI) and accelerated globalization have necessitated a fundamental recalibration of higher education to prioritize domain-agnostic, 21st-century professional competencies. While institutional commitment to these skills is high, their systematic integration into the curriculum and evaluation remains…

This article aims to establish a foundation for the vocational and applied study of the possible, probable and preferable futures of the leisure industries. It does so by presenting a novel methodological approach, integrating state-of-the-art generative AI (GenAI) created content within actionable formats, with a design futures approach and process…

As technology continues to evolve, organizations face growing and complex challenges and opportunities that affect their ability to govern, manage and harness data as a key source of competitive advantage. Equally, data are considered a powerful and unique source of success for organizations, which in turn, can impact their decision-making capabilities…

Research background: Generative AI (GenAI) is increasingly embedded in organizational routines for searching information, developing ideas, and solving problems. However, creativity gains are not automatic. What appears to differentiate outcomes is the organization’s capacity to recognize valuable AI outputs, interpret them, combine them with existing…

Abstract As China rapidly advances in AI innovation and development, especially in frontier AI, its regulatory and ethical frameworks are under increasing pressure to ensure that technological progress aligns with human interests and societal values. This Article argues that AI value alignment—the process of ensuring AI systems act in accordance with…

Abstract Organizational survival and success depend on having members who have a shared understanding about the enterprise’s purpose and strategy. Organizations therefore invest heavily in the selection and socialization of new members. Since the public release of generative artificial intelligence based on large language models (GAI) in 2022…

Background: The increasing prevalence of diabetes mellitus among children and adolescents in South Africa presents a major public health challenge, compounded by limited resources, inadequate infrastructure and poor disease management. Given these challenges, innovative solutions such as ChatGPT are essential to offer immediate, personalised education…

: The rapid integration of artificial intelligence (AI) into software development, driven by large language models (LLMs), is reshaping the role of programmers from traditional coders into strategic collaborators within Industry 4.0 ecosystems. This qualitative study employs a hermeneutic phenomenological approach to explore the lived experiences of…

Business Intelligence (BI) workflows benefit from the improved access to insights that Generative Artificial Intelligence (GenAI) can bring, allowing for swifter democratization of data access and improved decision-making across various domains such as finance, retail, life sciences, education technology (EdTech), etc. Although existing literature…

This study investigates how audit organizations leverage generative artificial intelligence technologies to enhance auditing capabilities through organizational adaptation mechanisms, examining the role of dynamic capabilities in facilitating successful AI adoption and performance improvements. A quantitative cross-sectional survey collected data from…

Since ChatGPT's debut, generative AI technologies have surged in popularity within the AI community. Recognized for their cutting-edge language processing capabilities, these excel in generating human-like conversations, enabling open-ended dialogues with end-users. We consider that the future adoption of generative AI for critical public domain…

This study presents the first comprehensive analysis of artificial intelligence (AI) adoption among Italian firms, with a particular focus on the emerging impact of generative AI. Drawing upon the diffusion of innovations theory and the technology-organisation-environment (TOE) framework, we surveyed 237 managers from an Italian business school to…

Artificial intelligence (AI) agents capable of autonomous decision-making are increasingly transforming business processes and managerial decision structures. Despite growing adoption, research remains fragmented across domains and lacks a unified understanding of how agentic AI is conceptualized, applied, and governed in business contexts. This study…

Human-AI ecologies involve human and AI-based agents that coordinate their interactions in part by following social norms. Social norms, therefore, are important for establishing the guardrails that ensure desirable interactions in a way that is consistent with essential values, such as human safety. Managing human-AI ecologies requires specifying norms…