Rate My Professor David Sundaram

Professor David Sundaram serves as a Professor in the Department of Information Systems and Operations Management at the University of Auckland Business School, within the Faculty of Business and Economics. An engineer by background, he holds a Bachelor of Engineering (BE), Postgraduate Diploma in Industrial Engineering (PG Dip IE), and a PhD. His academic career at the University of Auckland includes progression to full Professor, with recognition in 2015 for promotion. Sundaram leads the Information Systems Design Science group and supervises doctoral students on topics such as the design and implementation of adaptive systems that support informational, decisional, knowledge, and operational needs while being flexible and evolvable. His teaching encompasses courses in information systems, and he contributes to postgraduate research supervision in areas like customer-firm interactions, financial literacy games, and AI-human collaboration in healthcare.

Sundaram's research specializations include adaptive systems, decision making and decision systems, visualization systems, sustainable supply chain management, blockchain technologies, artificial intelligence applications, social media analytics, human-computer interaction, data mining, knowledge management, business intelligence, user experience, and sustainability. He has authored or co-authored over 246 publications, accumulating more than 2,444 citations on ResearchGate. Key publications from his Google Scholar profile, which boasts highly influential works, include 'Research Commentary—Digital Natives and Ubiquitous Information Systems' (2010, Information Systems Research, 684 citations), 'Digital natives und digital immigrants' (2013, 568 citations), 'Key themes and research opportunities in sustainable supply chain management—identification and evaluation' (2017, 324 citations), 'Sustainability modelling and reporting: From roadmap to implementation' (2012, 134 citations), 'Do online social networks support decision-making?' (2015, 112 citations), 'Sustainable supply chain management: Decision models for transformation and maturity' (2018, 111 citations), 'Blockchain-based agile supply chain framework with IoT' (2022, 100 citations), and 'An explanation framework and method for AI-based text emotion analysis and visualisation' (2024, 67 citations). Recent contributions address temporal dynamics in social media research, GenAI for lifelong learning, blockchain for ESG reporting, and mental health discourse during pandemics. His work influences fields like supply chain 4.0, sustainable transformation, and digital ecosystems through systems thinking and design science approaches.