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The objective of this study is to propose a model for the implementation of a technological platform for participants to develop solutions to problems related to the Fourth Industrial Revolution (4IR) megatrends, and taking advantage of artificial intelligence (AI) to develop their complex thinking through co-creation work.

The development of the model is based on a combination of participatory action research and user-centered design (UCD) methodologies, seeking to ensure that the platform is user-oriented and based on the experiences of the authors. The model itself is structured around the active and transformational learning (ATL) framework.

This study highlights the importance of addressing 4IR megatrends in education to prepare students for a technology-driven world. The proposed model, based on ATL and supported by AI, integrates essential competencies for tackling challenges and generating innovative solutions. The integration of AI into the platform fosters personalized learning, collaboration and reflection and enhances creativity by offering new insights and tools, whereas UCD ensures alignment with user needs and expectations.

This research presents an innovative educational model that combines ATL with AI to foster complex thinking and co-creation of solutions to problems related to 4IR megatrends. Integrating ATL ensures engagement with real-world problems and critical thinking while AI provides personalized content, tutoring, data analysis and creative support. The collaborative platform encourages diverse perspectives and collective intelligence, benefiting other researchers to better conceive learner-centered platforms promoting 21st-century skills and co-creation.

The purpose of this study is to examine which factors explain the use of an in-house internal audit function (IAF) in a voluntary setting.

Based on the foundations of agency and resource-based theory, this study examines a unique data set from the New Zealand setting, which combines information obtained from The Institute of Internal Auditors of New Zealand with empirical firm data collected from publicly available sources. Multivariate analysis is performed to test the prediction that in-house IAF use is associated with factors such as strong corporate governance, firm size, risk, complexity and firm ownership structure.

There is strong evidence that larger organisations are more likely to use an in-house IAF. The authors also find that listed firms and organisations that use a Big Four auditor are less likely to use in-house-based IAF. The authors learn that the IAF investment decision is dominantly influenced by a firm’s ability to fund an in-house IAF as compared to the IAF being used as a resource to improve firm performance to achieve sustained competitive advantage. This implies that IAFs need to ensure cost efficiency and eliminate unnecessary overheads and demonstrate and make visible the benefits the function offers to the host organisation.

The unique New Zealand setting, where the establishment and use of an IAF are voluntary, provides an environment to study factors that promote demand for internal audit services. Research implications are applicable to most parts of the world, including the UK, EU nations and the Asia-Pacific region, where IAF use is voluntary.