1 More Paper.

Abstract International organizations have provided guidelines for the use of AI, encouraging its responsible development and promoting human-centered, trust-based use. If governments or international organizations wish to encourage, discourage or even prohibit the use of ChatGPT or similar generative large language models, thorough ethical analyses are…

Abstract The rapid diffusion of generative artificial intelligence (GenAI) has triggered a transformative shift in how organizations approach decision-making. Despite growing enthusiasm and widespread adoption across industries, GenAI’s specific tasks and roles, and the ways in which they shape the interplay of human cognition and algorithmic enhancement…

Abstract Enterprise resource planning (ERP) systems form the digital backbone of modern organizations by integrating business processes and data across functional domains. Recent advances in artificial intelligence (AI) offer significant opportunities to enhance ERP systems through intelligent automation and data-driven decision support. However…

Abstract Generative artificial intelligence (AI) tools are increasingly being used by patients seeking cancer-related information, creating new opportunities for accessible and personalized cancer education. Large language models can simplify complex medical concepts, improve access to educational resources, and support patient engagement. However, these…

Abstract The rise of generative artificial intelligence (GenAI) is bringing in a new era of technological advancement in the public sector, with sophisticated GenAI tools now readily accessible to all public servants for a wide array of applications. Public servants use GenAI tools to draft reports, refine policy proposals and generate content, often…

The proliferation of Large Language Models (LLMs) requires robust financial planning, yet traditional software cost models cannot capture the unique economics of generative AI. This paper presents a formal Total Cost of Ownership (TCO) framework grounded in Activity-Based Costing (ABC). We deliver a dual-layered accounting architecture: a mathematically…

Abstract With generative artificial intelligence (GenAI), particularly large language models (LLMs), continuing to make inroads in healthcare, assessing LLMs with human evaluations is essential to assuring safety and effectiveness. This study reviews existing literature on human evaluation methodologies for LLMs in healthcare across various medical…

Abstract Inspired by the increasing use of artificial intelligence (AI) to augment humans, researchers have studied human–AI systems involving different tasks, systems and populations. Despite such a large body of work, we lack a broad conceptual understanding of when combinations of humans and AI are better than either alone. Here we addressed this…

Abstract Artificial intelligence systems (ai-systems) (e.g. machine learning, generative artificial intelligence), in healthcare and medicine, have been received with hopes of better care quality, more efficiency, lower care costs, etc. Simultaneously, these systems have been met with reservations regarding their impacts on stakeholders’ privacy, on…

Abstract The use of Artificial Intelligence (AI) in Health Technology Assessment (HTA) activities presents an opportunity to enhance the efficiency, accuracy, and speed of HTA processes worldwide. However, the adoption of AI tools in HTA comes with diverse challenges and concerns that must be carefully managed to ensure their responsible, ethical, and…

Generative artificial intelligence (GAI) has emerged as a disruptive technology with the potential to transform administrative processes in organisations. However, its adoption in business contexts in emerging economies, such as Ecuador, requires an understanding of the factors that influence organisational readiness for its implementation. The objective…

Abstract Operational resilience in modern global supply chains depends on timely and accurate identification of emerging risks. While daily news has become a primary source for such insights, the sheer volume and unstructured nature of these data pose significant analytical challenges, requiring advanced tools to extract relevant and actionable…

Artificial Intelligence (AI) has the ability to transform the way organizations operate, but imposes a unique challenge for them. Adoption of AI might reshape the human resource management patterns which calls for optimization of roles in workplaces for dealing with technology. Critical decision points and alternatives are identified through a systematic…

This study presents a comparative evaluation of DeepSeek and ChatGPT, two AI-powered text generation models, in composition, business writing, and communication tasks. The article assesses AI-generated content based on clarity, coherence, adaptability, persuasiveness, and grammatical accuracy, with evaluations conducted by three expert instructors. The…

Some of the main challenges faced by organizations when applying Continuous Business Process Improvement are data fragmentation, limited explainability, weak governance, and the isolated use of Artificial Intelligence in Business Process Management. This study initially conducts a Systematic Literature Review on the topic of business process improvement…

Traditional Enterprise Resource Planning systems impose complex menu-driven workflows requiring extensive training, limiting accessibility for non-technical users. This paper presents a five-pillar framework for agentic AI-driven ERP systems that transforms enterprise management from complexity to conversation. Integrating Large Language Models…