1 More Paper.

Purpose This study aims to examine how individual technology readiness shapes employees’ perceptions of generative artificial intelligence (GenAI) as a job resource and/or a job demand, and how these appraisals influence engagement, exhaustion and performance in small and medium enterprises (SMEs). Design/methodology/approach Survey data were collected…

The last 3 years have witnessed an increasing awareness and consensus on using artificial intelligence (AI) to enhance decision-making in the construction sector. This study explores the integration of ChatGPT (Generative Pre-trained Transformer) into traditional risk management frameworks within the construction industry, contributing to the ongoing…

The ethical implications of artificial intelligence have emerged as a prominent issue in recent discourse. Despite the growing emphasis on the ethical aspects of artificial intelligence, there are still unexplored challenges in the areas of responsibility, regulation, and the application of ethical principles in organizational environments. The primary…

Abstract Generative Artificial Intelligence (GenAI) is adopted by knowledge workers to boost productivity, yet its specific characteristics such as probabilistic outputs and human-level content generation may change how professionals think about their effort. Prior literature has warned about unintended side effects of AI, but experiments on effort…

The rapid advancement of generative artificial intelligence (GenAI) has accelerated its adoption in workplaces worldwide. While prior research highlights its productivity enhancing potential, growing concerns remain regarding its impact on employee well-being, particularly job disruption and anxiety. This study examines the mechanisms through which GenAI…

: Large Language Models (LLMs) are increasingly utilized for semantic understanding and reasoning, yet their use in sensitive settings is limited by privacy concerns. This paper presents In-Mig, a mobile-agent architecture that integrates LLM reasoning within agents that can migrate across organizational venues. Unlike centralized approaches, In-Mig…

Abstract Context: The rapid emergence of generative AI (GenAI) tools has begun to reshape software engineering practice. Yet, their adoption within agile environments remains underexplored. Objective: This study investigates how agile practitioners adopt GenAI tools in real-world organizational contexts, focusing on regulatory conditions, role-specific…

ARTICLE HISTORY Artificial intelligence (AI) applications have proliferated, garnering significant interest among information systems (IS) scholars. AI-powered analytics, promising effective and low-cost decision augmentation, has become a ubiquitous aspect of contemporary organisations. Unlike traditional decision support systems (DSS) designed to…

Abstract Scrum is widely adopted in software project management due to its adaptability and collaborative nature. The recent emergence of Large Language Models (LLMs) has created new opportunities to support knowledge-intensive Scrum practices. However, existing research has largely focused on technical activities such as coding and testing, with limited…

Abstract Background Large language models (LLMs) have shown substantial promise in patient-trial matching, but most published studies still evaluate the performance under controlled technical conditions rather than within real recruitment workflows. Less is known about how LLM-enabled clinical artificial intelligence (AI) systems should be embedded into…

ARTICLE HISTORY Background: Clinical practice guidelines support healthcare professionals in making evidence-based decisions, yet guideline adherence among physical therapists remains inconsistent. To address this gap, a prototype digital knowledge translation tool powered by a large language model (LLM) was developed, with content based on two exemplary…

The rapid integration of generative artificial intelligence (GenAI) across diverse fields underscores the critical need for red teaming efforts to proactively identify and mitigate associated risks. While previous research primarily addresses technical aspects, this paper highlights organizational factors that hinder the effectiveness of red teaming in…

Prompt engineering, an emergent discipline at the intersection of Generative Artificial Intelligence (GAI), library science, and user experience design, presents an opportunity to enhance the quality and precision of information retrieval. An innovative approach applies the widely understood PICO framework, traditionally used in evidence-based medicine…

This study examines the implementation pathway of Generative AI Capabilities (GAIC) in manufacturing organisations, focusing on the roles of organisational creativity and green innovation ambidexterity in achieving a green competitive advantage. Drawing on the Technology-Organisation-Environment (TOE) framework, this research develops and empirically…