General Management
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Browsing General Management by Author "Amann, Wolfgang C."
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Item Anti-Corruption Education in Management Programmes: Learning Style Versatility and Artificial Intelligence (AI) Applications in Course Development and Delivery(The International Society for Technology Education and Science, 2023) Tripathi, Shiv K.; Amann, Wolfgang C.; Stachowicz-Stanusch, AgataThe effective anti-corruption education requires careful understanding of the teaching-learning context. At the different stages of the designing an anti-corruption focuses course, we need to consider factors related to target learning group as well as the respective context in which they are. Learning style versatility is an important factor that needs to be analyzed for an effective and outcome linked course in Anti-Corruption. The emergence of artificial intelligence provides significant opportunities in improving the outcome-focused course design. Automating the identification of learning style versatility of target learning group can simplify the process of customizing the course contents, pedagogy and assessment framework for the given learning group. The article is conceptual in nature and provides a generic framework for applying artificial intelligence (AI) in developing the anti-corruption course, tailored to the target learning group characteristics. The suggested framework can be adapted under the different teaching-learnings contexts, as per the need. The anti-corruption is an extended and applied area of ethics and, therefore, the framework can also be extended in developing course modules related to other similar themes. © 2023 Published by the ISTES OrganizationItem Artificial Intelligence and Business Ethics: An Integrated Course-Design Framework(The International Society for Technology Education and Science, 2023) Amann, Wolfgang C.; Tripathi, Shiv K.; Stachowicz-Stanusch, AgataThe last few years have witnessed significant integration of technology, particularly Information and Communication Technology (ICT) in both content as well as delivery of business courses in higher education. On the one side, the contents related to technological applications are increasingly expanding the space in business education curriculum while on the other hand the mode of delivery has also been significantly influenced. The teaching of business ethics involves a number of distinct issues, often challenging the educators to plan and deliver the course effectively. The current chapter, which is based on review of literature as well as authors’ own experiences in teaching business ethics in university courses, critically examines the role of technology as enabler of business ethics course delivery. The Chapter also provides a framework of how the technology can be used to link the teaching, research and participative community action in enhancing the relevance of business ethics teaching in a given context. The chapter provides conclusions for deans, course leaders and faculty members in order to manage change smoothly. © 2023 Published by the ISTES OrganizationItem Challenges of AI Adoption in the UAE Healthcare(Sage Publications India Pvt. Ltd, 2022-06) Al Badi, Fatma Khamis; Alhosani, Khawla Ali; Jabeen, Fauzia; Stachowicz-Stanusch, Agata; Shehzad, Nazia; Amann, Wolfgang C.The purpose of this study is to prioritize the challenges of adopting Artificial Intelligence (AI) in the healthcare sector of the United Arab Emirates (UAE). An Analytic Hierarchy Process (AHP) method was used, and the data were collected from the managerial-level executives (n = 27) involved in AI adoption in their respective healthcare organizations. The results prioritized the AI main criteria and sub-criteria based on their priority weights in the healthcare sector. The results also revealed that accuracy, privacy and security criteria are the most important factors to optimize the healthcare sector with AI. The research findings shall help policymakers formulate suitable strategies with current adoption and acceptance of AI in the healthcare sector. The findings will help policymakers utilize this study’s outcomes to create a well-defined picture of AI’s actual adoption and acceptance in the healthcare sector. © 2021 Management Development Institute.