This proceedings volume covers peer-reviewed papers of the 2nd International Conference on Management Information System which is held on Sept 28–30, 2024, in Tokyo, Japan. In an increasingly digitalized and connected world, management information systems are no longer serving resource planning, monitoring and reporting purposes. Indeed with the increasing availability of data from new sources, machine learning and artificial intelligence software can enable more automations involving less human decision-making and interventions, as well as generate predictions which can, among others, enhance risk prevention and astuteness in crisis management. This volume is valuable in introducing and explaining the impact of Industry 4.0, generative artificial intelligence, metaverse and others on organizational management information systems. Latest research and case studies are covered.
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Eric Tsui is former Associate Director of the Behaviour and Knowledge Engineering (BAKE) Research Centre and currently a Senior Project Fellow at the Educational Research Centre at The Hong Kong Polytechnic University. He is the coordinator of the Hong Kong MIKE award and a Vice President of the Hong Kong Knowledge Management Society. Professor Tsui was twice listed as an exemplary/outstanding academic in PolyU Annual Reports in the last 8 years.
Montathar Faraon is an associate professor of informatics and design at Kristianstad University, Sweden. He is an interaction design researcher with an interest in human-AI interaction, design research, artificial intelligence, and educational technology.
Kari Rönkkö is a professor of informatics within the field of design at Kristianstad University. His research spans from educational technology, user-centered design, and action research to contemporary explorations in human-AI interaction.
This proceedings volume covers peer-reviewed papers of the 2nd International Conference on Management Information System which is held on Sept 28–30, 2024, in Tokyo, Japan. In an increasingly digitalized and connected world, management information systems are no longer serving resource planning, monitoring and reporting purposes. Indeed with the increasing availability of data from new sources, machine learning and artificial intelligence software can enable more automations involving less human decision-making and interventions, as well as generate predictions which can, among others, enhance risk prevention and astuteness in crisis management. This volume is valuable in introducing and explaining the impact of Industry 4.0, generative artificial intelligence, metaverse and others on organizational management information systems. Latest research and case studies are covered.
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