1 More Paper.

Innovation is critical for organizational success, with employees’ innovative work behavior (IWB) forming a key microfoundation of firm-level innovation. While prior research has identified various antecedents of IWB, the role of generative AI (GenAI) remains underexplored. We address this gap by investigating how employees’ capabilities to use and…

This study explores the impact of Large Language Models (LLMs) on external audits and their associated ethical implications. A small-scale survey was conducted with auditors from non-Big Four firms to assess their general perceptions of LLMs, followed by a qualitative evaluation of external LLMs in audit-specific tasks. In the latter, ChatGPT’s responses…

A R T I C L E I N F O Information fusion, in the context of the Generative AI era, must distinguish AI Agents from Agentic AI. This review critically distinguishes between AI Agents and Agentic AI, offering a structured, conceptual taxonomy, application mapping, and analysis of opportunities and challenges to clarify their divergent design philosophies…

The Integrated Circuit (IC) supply chain risk allows attackers to implant hardware Trojans (HT) in various stages of chip production. To counter this, different machine learning (ML) and deep learning (DL)-based methods have been developed to detect HTs. However, these methods require massive amounts of high-quality labeled data for effective training…

Abstract The rapid emergence of Generative AI (GAI) in recent years, coupled with its potential to revolutionize a vast array of industries, functions, and tasks, has led to an increasing number of companies—including digital businesses and e-commerce firms—to evaluate its immediate application at both operational and strategic levels. One of the…

Agile development has become increasingly popular among software development teams due to its capacity to deliver and update software rapidly while accommodating evolving requirements. Within this dynamic context, access control policies are critical for ensuring the security of systems by defining who can access specific resources under given…

This study examines key reasons (for and against) that influence business-to-business (B2B) managers’ intention to adopt generative artificial intelligence (GenAI). We also investigate how GenAI adoption influences firm performance, along with the moderating effect of ethical leadership. Study 1 undertakes a series of in-depth interviews, yielding a set…

Although Generative Artificial Intelligence (GenAI) is revolutionizing corporate innovation processes, little is known about how it fits into Design Thinking (DT). This study uses an exploratory case study in a corporate innovation workshop to examine how GenAI affects three essential DT components: trend identification, brainstorming, and feedback.…

Abstract Employee churn is a critical issue for companies and organizations, as it directly impacts productivity, efficiency, and overall operational success. High turnover rates increase recruitment and training costs, and disrupt workflows, making it a top concern for institutions aiming to maintain stability, growth and continuity. This study presents…

Artificial intelligence (AI) is rapidly transforming business practices, with large language models (LLMs) at the forefront of this change. While AI adoption is increasing, the process by which firms develop capabilities to leverage these technologies remains unclear. Here we apply structural topic modeling to over 5,000 research abstracts to map the…

Large language models (LLMs) are increasingly adopted in occupational health and safety (OHS) to accelerate workplace risk assessment, yet their integration raises a dilemma between efficiency and verification. The study examines this trade-off in an LLM-assisted workflow using data from 111 student assignment files from an educational setting, analyzed…

The fast evolution of artificial intelligence has introduced a new paradigm for enterprise human resource management, in which agentic AI systems can autonomously manage complex workforce analytics and decision-support functions embedded in Human Resource Information Systems (HRIS). This paper presents a novel Agentic AI Framework that combines…

Abstract Large Language Models (LLMs) have the potential to automate knowledge-intensive interactions in enterprise systems, yet their adoption is often limited. One reason is a lack of user trust. This study examines how trust can be systematically engineered into an LLM-driven, multi-agent chatbot that handles routine human-resources (HR) queries. We…