Andrew Stephen is the L’Oréal Professor of Marketing and Deputy Dean for Faculty and Research at Saïd Business School, University of Oxford. He leads the Marketing faculty and directs the Oxford Future of Marketing Initiative, focusing on emerging technologies like AI and data-driven strategies in marketing, media, and advertising. His research explores digital marketing, consumer behavior, and the impact of new technologies, earning him recognition as a top global marketing scholar. His academic contributions span leading journals such as the Journal of Consumer Research and Harvard Business Review. He serves as editor of the Journal of Consumer Research, co-editor of the International Journal of Research in Marketing, and actively engages with industry through councils like the Mobile Marketing Association’s Brand Safety Council. Teaching responsibilities include marketing curriculum oversight and courses across MBA, Executive MBA, and DPhil programs, focusing on digital transformation, marketing analytics, and the future of marketing. His work bridges academic rigor with industry relevance, addressing challenges in tech-enabled marketing and global brand strategies. Awards: Top marketing academic in the UK (AMA), featured in Poets & Quants’ top 40 under 40, multiple research excellence awards. Labs/Initiatives: Oxford Future of Marketing Initiative, fostering collaborations with leading companies to tackle industry challenges. Grants/Advising: Extensive industry partnerships and academic grants not explicitly detailed in the text.
Mohammad Saifur Rahman is the Daniels School Chair in Management and a Professor of Management Information Systems at the Mitch Daniels School of Business, Purdue University. Previously, he was an Associate Professor at the Haskayne School of Business, University of Calgary. His academic journey includes significant leadership roles such as co-chairing the Conference on Information Systems and Technology (CIST) in 2013 and serving as president of the INFORMS eBusiness Society in 2014. Currently, he serves as an associate editor for both Management Science and Information Systems Research (ISR). Ph.D. in Management Information Systems, Krannert School of Management, Purdue University (2008) MBA in Management Information Systems, Southern Illinois University (2004) BS in Computer Science, Southern Illinois University (2002) Rahman's research primarily focuses on the economic implications of digital transformations. His work examines how digitization affects consumer behavior, market structures, and business strategies across various industries. He investigates the value of digital traces in driving consumer behavior and improving decision-making, particularly in omnichannel retail environments. His research on the sharing economy has revealed important insights about economic disparities, showing how platforms like Airbnb provide economic benefits to predominantly white neighborhoods while failing to generate similar spillover effects in predominantly Black or Hispanic neighborhoods. His recent publications reveal a consistent focus on the intersection of technology, economics, and social impact. Rahman's work frequently examines how local market structures interact with digital platforms to create or exacerbate economic inequalities. His research spans multiple disciplines including information systems, economics, marketing, and operations management, with a particular emphasis on empirical studies using real-world data from major companies like Walmart and Cisco. CICP Faculty Commercialization Award (2020) INFORMS Sandy Slaughter Early Career Award (2018) World's Top 40 Business School Professors Under 40 by Poets and Quants (2017) Jay N. Ross Young Faculty Scholar Award (2015) Dean's Award for Outstanding Research Achievement (University of Calgary, 2014) Rahman has secured substantial research funding from organizations including Social Sciences and Humanities Research Council (SSHRC), Adobe Systems ($50,000 grants in 2017 and 2020), Trask Innovation Fund ($21,218), and NSF I-Corps ($50,000). He has advised numerous PhD students and collaborated with industry partners to translate research into practical applications. Rahman co-founded RightFit Analytics, a precision health analytics solution that utilizes AI to learn success patterns in healthcare. He has organized significant academic events including the Krannert-Walmart Data Dive (believed to be the first data dive on a college campus) and the Dawn or Doom Data Dive in cooperation with Cisco. Rahman actively engages with industry through consulting and collaborative research projects. His work with Walmart, Cisco, and other major corporations demonstrates his ability to bridge academic research with practical business applications. He has been particularly active in studying how AI and big data analytics can be leveraged to improve business decision-making while addressing potential negative consequences like algorithmic bias and economic inequality.
Professor Michael C.L. CHAU serves as Professor and Deputy Area Head of Innovation and Information Management at The University of Hong Kong's Faculty of Business and Economics. He also holds the position of Associate Director at the HKU HKJC Centre for Suicide Research and Prevention, and serves on the HKU Senate and Court. His academic journey includes a Ph.D. in Management Information Systems from the University of Arizona and a B.Sc. in Computer Science (Information Systems) from the University of Hong Kong. Dr. Chau's research spans business analytics, artificial intelligence, web mining, fintech, smart health, and security informatics. His work focuses on applying data/text/web mining techniques to business, education, and social domains. He leads the Artificial Intelligence Research Group at HKU Business School, which has secured significant funding from the Hong Kong Research Grants Council, Food and Health Bureau, and other agencies for projects including 'The Invisible Hand in Crowdfunding' and 'Factors Moderating the Predictive Power of Social Media Sentiment on Stock Returns'. His publication portfolio includes over 150 articles in premier journals like MIS Quarterly, JMIS, and IEEE Transactions, with recent work exploring large language models, hate speech detection, and disaster-related social media analysis. His research demonstrates strong interdisciplinary connections across computer science, information systems, and business applications. INFORMS ISS Design Science Award (2020) IEEE ITSS Leadership Award in Intelligence and Security Informatics (2020) AIS Sandra Slaughter Service Award (2016) HKU Outstanding Young Researcher Award (2014) Faculty Research Postgraduate Supervision Award (2020 & 2025) Cited over 9,400 times (h-index = 47) Dr. Chau actively mentors doctoral students and has supervised numerous PhD graduates who now hold academic positions at institutions including Fudan University, Xi'an Jiaotong-Liverpool University, and the University of Maryland. His research grants portfolio demonstrates sustained funding success across diverse areas including blockchain, mental health applications, and social media analytics. The Artificial Intelligence Research Group he leads maintains strong industry connections through projects with Hong Kong Red Cross and the Hospital Authority.
Xavier Brusset is a Professor in Supply Chain at SKEMA Business School since 2016, where he also serves as Director of the PRISM Research Center since 2017. Previously, he held professorial positions at Toulouse Business School (2015-2016) and ESSCA School of Management (2009-2015), where he was responsible for the Master 2 in Purchasing and Supply Chain Management program. His academic journey includes a PhD in Management Sciences from Université Catholique de Louvain (2010) and a Habilitation à Diriger des Recherches from Université Paris Ouest Nanterre La Défense (2016). His research spans multiple critical areas in supply chain management, with particular focus on supply chain resilience, blockchain applications, weather risk management, and pandemic impacts on supply chains. Brusset has developed innovative approaches to understanding how supply chain partners interact, how information affects their behavior, and how external disruptions like weather anomalies and pandemics impact operational efficiency. His work bridges theoretical models with practical applications, often developing decision-support tools for managers facing complex supply chain challenges. Brusset's publication record shows a clear evolution of research interests, beginning with foundational work on supply chain contracts and information sharing, then expanding to weather risk management, and most recently focusing on pandemic disruptions and blockchain applications. His 15 most recent publications (2018-2025) demonstrate increasing sophistication in modeling complex supply chain phenomena, with particular emphasis on network effects, ripple effects, and multi-echelon optimization under disruption scenarios. Editorial board member of Logistics Research Editor of International Journal of Retail and Distribution Management (2022-2023) Recognized EU expert for CINEA research projects evaluation Organizer of the Colloquium on European Research in Retailing (CERR) Reviewer for multiple top journals including International Journal of Production Economics As an advisor, Brusset has supervised doctoral students including R. Alkhudary (co-director, Université Paris 2 Panthéon-Assas) and V. Capocasale (rapporteur). His professional experience extends beyond academia to include industry roles in financial markets and logistics technology, having co-founded WebLogistix, a platform for sharing logistics information in Argentina. His research has practical applications across multiple sectors, particularly in retail, food supply chains, and manufacturing, where he develops tools to help managers mitigate risks and optimize operations under uncertainty.
Remko Van Hoek serves as Professor of Practice in the Department of Supply Chain Management at the Sam M. Walton College of Business, University of Arkansas. He teaches Sourcing and Procurement courses across undergraduate, master's, and doctoral programs. Prior to joining the University of Arkansas, Dr. Van Hoek held academic positions in Europe and served as a visiting professor at Cranfield School of Management, complemented by extensive industry experience as a supply chain and procurement executive at global corporations including Nike, PwC, and The Walt Disney Company. He currently serves on the Council of Supply Chain Management Professionals (CSCMP) Board of Directors and acts as executive director of the CSCMP Supply Chain Hall of Fame hosted by the Walton College. Dr. Van Hoek's research centers on digital transformation in procurement and supply chain management, with particular focus on blockchain implementation, artificial intelligence applications, and sustainable sourcing practices. His work investigates how emerging technologies reshape procurement processes, supplier relationship management, and risk mitigation strategies. He explores innovative approaches to supplier diversity programs, ethical sourcing frameworks, and the strategic evolution of procurement from cost reduction to value creation. His research consistently bridges academic theory with industry practice through case studies from major corporations, developing actionable frameworks for practitioners facing digital disruption and sustainability challenges. Analysis of his 15 most recent publications (2023-2025) reveals dominant themes in AI-driven supply chain risk prevention, blockchain implementation for transparency, and sustainable supplier engagement. His work demonstrates consistent industry collaboration, drawing from case studies at Walmart, Moet Hennessy, and Bayer to address post-pandemic resilience challenges. A significant portion examines procurement's strategic evolution beyond transactional functions, with recurring emphasis on ethical considerations in digital transformation and the practical implementation barriers for emerging technologies in global supply networks. As a Professor of Practice, Dr. Van Hoek integrates executive-level industry experience into curriculum development and student mentorship. His industry-engaged teaching model includes guest lecturer programs connecting students with supply chain practitioners, as evidenced by his co-authored work on integrating industry insights into supply chain education. While specific grant funding details are not publicly documented, his leadership in the CSCMP Supply Chain Hall of Fame demonstrates commitment to professional development and industry-academia knowledge transfer. Dr. Van Hoek directs the CSCMP Supply Chain Hall of Fame initiative, which documents transformative contributions to supply chain management through interviews with industry pioneers and historical case studies. This platform serves as both an educational resource for Walton College students and a professional development tool for supply chain practitioners globally. The Hall of Fame preserves critical industry knowledge while highlighting contemporary innovations in supply chain strategy and technology implementation.
Mika Yrjölä serves as a University Lecturer in Marketing at Tampere University's Faculty of Management and Business. He is an active member of the Customer-Oriented Research Group with extensive research experience in strategic marketing, value propositions, and business models. His academic work spans over a decade with 53 research outputs from 2013 to 2025. Yrjölä's research primarily focuses on strategic marketing, including value propositions, business models, capabilities, and customer orientation. He employs both quantitative and qualitative methods in his investigations, with particular interest in digital transformation, artificial intelligence in retail, and business-to-business platforms. His work contributes to understanding how organizations can create value in evolving market contexts, especially through digital channels and platform-based business models. His publication record shows consistent scholarly output with recent emphasis on AI-enhanced platforms, value creation in ecosystems, and retail transformation. The research demonstrates a clear trajectory toward understanding digital transformation in marketing contexts, with increasing focus on AI applications in services and retail environments. His work spans both theoretical contributions and practical applications for businesses navigating digital disruption. Marvin Jolson Award (2022) - for research in sales management Yrjölä has supervised master's students and doctoral candidates while actively participating in academic service as a journal reviewer and conference committee member. His activities include 41 scientific journal reviews, 19 media appearances, and 11 master's student supervisions. He has also served as an external reviewer for The French National Research Agency (ANR). As a member of the Customer-Oriented Research Group, Yrjölä collaborates with colleagues on projects examining consumer behavior, retail transformation, and digital marketing strategies. His research increasingly focuses on the intersection of AI and service delivery, particularly in platform-based business models and retail contexts.
Zohreh Pourzolfaghar is an Assistant Professor in Management Information Systems (MIS) at the School of Business, Maynooth University (MU). She serves as Director of the IT-Enable Innovation Programme and cluster lead for the Digital Construction cluster at the Innovation Value Institute (IVI). She is also a member of Lero, the SFI Research Centre for Software. Education: PhD in Project Management (University Putra Malaysia, 2011); MSc in Management Systems and Productivity; BSc in Software Engineering. Research Interests : Focuses on digital transformation for SMEs, information management in construction, and smart city architectures. Leads EU-funded projects like EnTrust (agri-data governance), DIGI+ (sustainable digital transformation), and DigiFABs (food & beverage SMEs). Co-PI for projects such as GDI-IE (genomic data infrastructure) and PERFORM (digital retail innovation). Grants & Awards : Secured funding from SFI, Enterprise Ireland, and EU. Notable awards include the BIM Hero Award (2022) and Research Engaged Award (2022). Teaching : Courses include Digital Business, Digital Technology Governance, and Enterprise Architecture. Advises PhD students in MIS and digital transformation. Industry Collaboration : Works with firms like ArcDox and Corballis Technologies on BIM standards and data governance. Active in national and EU policy networks, including NSAI committees.
Hanna Halaburda is an Associate Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where she joined in 2019. Her research lies at the intersection of economics, technology, and digital platforms, with a strong focus on blockchain, cryptocurrencies, and platform competition. She has published extensively in top academic journals and co-authored the seminal book Beyond Bitcoin: The Economics of Digital Currencies . PhD in Economics, Northwestern University MA in Economics, Warsaw School of Economics MA in Philosophy, Warsaw University Her research interests center on the economic implications of digital transformation. She investigates how blockchain technology reshapes trust, governance, and competition in digital markets. Her work explores token design, consensus mechanisms, smart contracts, and the strategic use of decentralization in platforms. She also studies platform competition under network effects, consumer choice, and omnichannel marketing. A recurring theme is how digital technologies alter traditional economic forces and business models. The most recent articles show a strong trend toward analyzing the governance, security, and economic design of blockchain systems. Her work combines rigorous theoretical modeling with empirical insights, often applying game theory and industrial organization frameworks. Topics include permissioned vs. permissionless blockchains, the role of cryptographic tokens in coordination, and the macroeconomic implications of digital currencies. She also contributes to debates on Web3, AI, and the future of digital platforms. Scientific awards and recognitions include: ISR Best Paper Published in 2022 Runner-Up Lead article in RAND Journal of Economics Best Paper Award at Tokenomics 2023 Best Paper Award at WISE 2023 Best Paper Finalist at WISE 2022 and WISE 2021 Hanna Halaburda has advised and collaborated with numerous researchers and institutions. Her co-authors include leading scholars from Harvard, NYU, and international universities. She has received research recognition through best paper awards and invitations to contribute to high-impact journals and policy discussions. Her work has been supported by academic and policy institutions, including the Bank of Canada, where she previously served as a senior economist. She frequently publishes in both academic and practitioner outlets, including Harvard Business Review and Nature Human Behavior , indicating strong translational impact. She is actively involved in research teams focused on digital assets, blockchain governance, and platform economics. While no formal lab is mentioned, her extensive list of working papers and collaborations suggests leadership in a dynamic research group at NYU Stern. Her recent work on DAOs, public crypto mining firms, and CBDCs indicates ongoing, forward-looking research programs with real-world policy and business implications.
Kusum L. Ailawadi is the Charles Jordan 1911 TU'12 Professor of Marketing at the Tuck School of Business at Dartmouth College. She has established herself as a leading expert in marketing channel strategy, brand equity, and multi-channel distribution systems. Her research examines the strategic interaction and distribution of power between manufacturers and their distribution channel partners, with particular focus on how store brands, promotions, and brand equity affect performance. Education: PhD, University of Virginia, 1991 MBA, Indian Institute of Management, 1984 BSc (Honors), St. Stephen's College, Delhi University, 1982 Professor Ailawadi's research spans two primary streams: the first focuses on manufacturer-retailer relationships and channel strategy, examining how power dynamics affect brand performance; the second investigates how marketing actions influence consumers' health status and the nutritional quality of grocery shopping. She has pioneered research showing how warehouse club shopping affects consumer behavior, revealing that club store shoppers spend more, shop more frequently, and consume more calories than non-club shoppers. Her work on multi-channel distribution has been synthesized in her influential 2020 book Getting Multi-Channel Distribution Right , which provides practical guidance for managing brands across physical and digital channels. Her extensive publication record in top marketing journals like Journal of Marketing , Journal of Marketing Research , and Marketing Science demonstrates consistent scholarly impact. Analysis of her recent work shows a strong focus on the evolving retail landscape, with particular attention to private label brands, multi-channel strategies, and the behavioral economics of consumer shopping patterns. Her research increasingly bridges marketing theory with practical applications in retail strategy and consumer health. Notable Awards: Winner, Paul H. Root Award for Significant Contribution to the Advancement of the Practice of Marketing (2018) Distinguished Alumni Award, Indian Institute of Management Bangalore (2020) Winner, John D.C. Little Best Paper Award, Marketing Science (2005) Winner, First William Davidson Award for Best Contribution to Theory and Practice in Retail Marketing (1997) Multiple finalist positions for Paul E. Green Award across various years Professor Ailawadi serves as president of the INFORMS Society for Marketing Science and has held editorial positions at major marketing journals including Journal of Marketing , Journal of Marketing Research , and Marketing Science . She teaches the highly regarded MBA elective on Multi-Channel Routes to Market and has consulted with companies across consumer goods, retailing, consulting, and financial services sectors. Her expertise has also been sought in legal cases related to distribution, brand equity, and promotions, where she has served as both consulting and testifying expert. Her research has been widely covered in media outlets including Harvard Business Review , Wall Street Journal , Forbes , and Advertising Age , demonstrating the practical relevance of her academic work. Her TEDx talk 'Outsmarting the Marketers' further illustrates her ability to translate complex marketing concepts for broader audiences.
Dr. Omkar Prabhakar Dastane is a Senior Lecturer and Director of Postgraduate Studies at the Malaysia School of Business, Monash University Malaysia. He holds a PhD in Business from Curtin University and certifications including Certified Management and Business Educator (CMBE) from CABS, UK, and HRDF-approved trainer status in Malaysia. His research focuses on technological impacts on businesses, digital consumer behavior, and customer value perception, with publications in A-ranked journals like the Journal of Retailing and Consumer Services and Asia Pacific Journal of Marketing & Logistics . He has secured MYR 157,549 in research grants and received notable awards like the Best Paper Awards (2017/2018) and Emerald Literati Award (2024). Dr. Dastane has held leadership roles including Head of MBA Programs and Head of Postgraduate Studies at top-tier institutions. He actively contributes to editorial roles for journals like Arab Gulf Journal of Scientific Research and reviews for SSCI/SCIE-indexed publications. His teaching emphasizes strategic branding and services marketing, integrating AR/VR tools for immersive learning. He has also led educational visits across ASEAN countries. His research interests span metaverse applications in business, immersive technologies, and contemporary consumer behavior trends. Recent work explores AI-driven services, live-stream commerce, and digital transformation's role in achieving UN SDGs. He has advised on over 200 research projects and secured multiple teaching grants including the 2025 Learning & Teaching Grant.
Professor Jagmohan S. Raju serves as the Joseph J. Aresty Professor of Marketing at the University of Pennsylvania's Wharton School, where he also directs the Wharton Co-Sponsorship of the Indian School of Business. An internationally renowned pricing expert, he has taught extensively across Wharton's MBA, EMBA, and Executive Education programs and previously served as Vice Dean of Executive Education for six years. His academic credentials include a PhD in Business, MS in Operations Research, and MA in Economics from Stanford University, complemented by an MBA from the Indian Institute of Management Ahmedabad and a BTech in Electrical Engineering from the Indian Institute of Technology Delhi. Raju's research focuses on pricing strategy , retailing dynamics , and competitive positioning , with significant contributions to understanding private labels, coupon economics, and strategic channel management. His work bridges theoretical rigor with practical applications, frequently addressing real-world challenges in product launches and market competition through game-theoretic and empirical approaches. Recent publications reveal evolving expertise in digital-era retail challenges, particularly showrooming behavior, omnichannel competition, and the strategic implications of network neutrality. His scholarship consistently addresses the intersection of consumer psychology and corporate strategy across diverse sectors including pharmaceuticals, entertainment, and consumer goods. Fellow, INFORMS Society for Marketing Science (2017) Multiple Excellence in Teaching Awards (2012, 2011, 2009) Miller-Sherrerd MBA Core Course Teaching Award (2006) President of INFORMS Society for Marketing Science (2004) Marketing Professor of the Year at UCLA (1992) As an educator, Raju directs flagship executive programs including the General Management Program and Owner/President/CEO Program, while consulting for industry leaders like Johnson & Johnson, Medtronic, and Warner Home Video on pricing architecture and new product launches. His research grants and industry projects frequently examine category management dynamics and the strategic value of customer heterogeneity. He spearheads the Wharton-Indian School of Business partnership, fostering academic exchange and executive development initiatives that leverage his deep expertise in India's business landscape and global market dynamics.
Marshall L. Fisher is the UPS Professor of Operations, Information and Decisions at the Wharton School, University of Pennsylvania. His research focuses on retailing and supply chain management, with notable work in dynamic pricing, omnichannel operations, and workforce optimization. Academic Affiliation: Wharton School, University of Pennsylvania Research Themes: Retail innovation, supply chain responsiveness, labor economics Recent Trends: Real-time pricing algorithms, inventory-demand interactions, digital transformation Scientific Recognition: INFORMS Kimball Medal (2007) POMS Fellow (2005) INFORMS Fellow (2002) NAE Election (1994) Academic Contributions: Pioneering work on Lagrangian relaxation in integer programming (1981), Edelman Prize-winning liquid gas optimization, and groundbreaking research on retail staffing and training effectiveness. His teaching includes courses on global supply chain management and AI in business.
Prasenjit Mandal is an Associate Professor in the Department of Information Systems, Supply Chain Management, and Decision Support at NEOMA Business School (France). He holds a PhD in Decision Sciences and Information Systems from the Indian Institute of Management (IIM) Bangalore. Previously, he served as an Assistant Professor of Operations Management at IIM Calcutta and worked as an Oracle ERP consultant at Tata Consultancy Services. His research focuses on supply chain finance, revenue optimization, multi-channel retail strategies, and strategic decision-making in supply chains. He has published in top journals like European Journal of Operational Research and IEEE Transactions on Engineering Management. He currently serves as a reviewer for multiple academic journals. Education: PhD in Decision Science and Information Systems, IIM Bangalore, India Oracle ERP Techno-Functional Certification Research Interests: Revenue Management in Retail & E-commerce Supply Chain Finance & Platform Financing Multi-channel Distribution Strategies Empirical Modeling of Supply Chain Trade-offs Strategic Decision-Making under Competition Key Contributions: His recent work explores platform financing models, strategic supplier financing choices, and omnichannel retail challenges. His research integrates optimization models with real-world operational scenarios to address supply chain complexities. Professional Experience: Current: Associate Professor, NEOMA Business School 2016-2019: Assistant Professor, IIM Calcutta 2012-2015: Oracle ERP Consultant, Tata Consultancy Services
Hannu Saarijärvi is a Professor in the Faculty of Management and Business at Tampere University, specializing in Marketing. His research bridges consumer behavior, retail innovation, and data-driven health studies. Based in Tampere University's City Centre Campus, he explores transformative retailing and societal impacts of consumer data. University: Tampere University School: Faculty of Management and Business Department: Business Studies Email: hannu.saarijarvi@tuni.fi His research focuses on consumer behavior in omnichannel and second-hand retailing, data analytics using loyalty card datasets, and health research linking maternal experiences to dietary patterns. Recent studies examine sustainable diets , alcohol consumption dynamics , and food waste reduction . Key article trends highlight loyalty card data applications in health informatics , retail transformation , and sustainability . Collaborative studies with Finnish institutions analyze population-level consumption behaviors, legislative impacts, and digital service innovations. Professor Saarijärvi's work emphasizes value co-creation , customer experience , and strategic digitalization in retail contexts, with practical implications for public health and business models.
Higher School of Economic and Commercial SciencesFrance
Frank Chan is a Professor of Information Systems at ESSEC Business School in France, where he currently serves as Department Head of Information Systems, Decision Sciences and Statistics (2022-2025). He has been with ESSEC since 2013, progressing from Assistant Professor to Associate Professor and now Professor. His academic career focuses on the intersection of information systems, public administration, and organizational behavior. Dr. Chan earned his Ph.D. in Information Systems from Hong Kong University of Science and Technology (HKUST) in 2010 and completed his BBA in Information Systems and Finance from the same institution in 2003. His educational background provided the foundation for his research in technology implementation and electronic government. His research interests span electronic government, technology implementation, agile methodologies, and internet privacy. Dr. Chan's work examines how digital technologies transform public services, organizational processes, and citizen experiences. He investigates the human aspects of technology adoption, including leadership dynamics in agile teams, citizen satisfaction with e-government services, and privacy concerns in digital environments. His multidisciplinary approach combines insights from information systems, public administration, and organizational behavior. Analysis of Dr. Chan's publication record reveals a consistent focus on e-government systems and technology implementation, with increasing attention to agile development methodologies in recent years. His work demonstrates a progression from foundational technology adoption studies to more nuanced investigations of leadership dynamics, privacy concerns, and the societal impacts of digital initiatives. The interdisciplinary nature of his research bridges business, public administration, and technology domains. Pacific Asia Conference on Information Systems Best Associate Editor Award (2022) International Conference on Information Systems Outstanding Associate Editor Award (2019) MIS Quarterly Reviewer of the Year Award (2019) MIS Quarterly Reviewer of the Year Award (2018) Journal of Operations Management Ambassador Award (2017) Finalist for Journal of Operations Management Jack Meredith Best Paper Award (2012) As a Senior Editor for Information Systems Journal since 2021 (previously Associate Editor 2016-2020), Dr. Chan has significantly contributed to the academic community. He has served as Track Co-Chair for major conferences including International Conference on Information Systems and Pacific Asia Conference on Information Systems. His consulting work with United Nations ESCAP on digitalization of tax administrations in Asia demonstrates the real-world impact of his expertise. Dr. Chan teaches courses in Research Design, Quantitative Research Methods, and Digital Business at ESSEC.
