Florian Zettelmeyer is the Nancy L. Ertle Professor of Marketing at Northwestern University's Kellogg School of Management and Faculty Director of the Program on Data Analytics at Kellogg. He also serves as a senior science leader at Amazon, leading the Advertising Economics organization. His research focuses on marketing analytics, digital advertising, and the economic implications of artificial intelligence in business. PhD in Management Science from MIT (1996) Vordiplom in Business Engineering from University of Karlsruhe (1992) MS in Economics from University of Warwick (1991) Professor Zettelmeyer specializes in analyzing how analytics and AI transform firms, with notable work on advertising measurement, pricing strategies, and consumer decision-making in automotive markets. His publications span journals like Marketing Science, Management Science, and American Economic Review, emphasizing empirical validation through field experiments. He has received prestigious awards including the John D.C. Little Award (twice), Sales SIG Excellence in Research Award, and multiple teaching honors such as the Sidney J. Levy Teaching Award and L. G. Lavengood Outstanding Professor of the Year Award. His research frequently appears in top-tier journals and working paper series.
Iryna Susha serves as an Assistant Professor in the Innovation Studies group within the Copernicus Institute of Sustainable Development at Utrecht University's Faculty of Geosciences. Her academic journey includes obtaining a PhD from Orebro University in Sweden, establishing her expertise in digital governance and data collaboration frameworks. Dr. Susha's research focuses on how organizations across different sectors can collaborate and leverage data to address 21st century societal challenges while contributing to sustainability goals. Her work spans digital government, open data initiatives, and data collaboratives for public good, with particular attention to cross-sector partnerships, data governance models, and the practical implementation challenges of data sharing initiatives. She has developed significant expertise in analyzing how data ecosystems can be structured to support societal benefits while navigating complex regulatory and organizational landscapes. Her publication record shows a clear evolution from early work on e-participation and open government data toward more sophisticated frameworks for data collaboratives and digital innovation for sustainability. The research demonstrates consistent engagement with practical implementation challenges while maintaining strong theoretical grounding in governance and organizational theory. Prizes & Grants (1) Dr. Susha actively supervises PhD candidates, currently guiding Dwayne Ansah's research on data donations for social good and Olafur Thorarensen's work on algorithmic decision systems in healthcare. She leads the "Digital Innovation" course where students develop critical understanding of digital innovations' societal and economic impacts. Additionally, she co-leads the Special Interest Group on Digitalization & AI for Sustainability (DAISY), which serves as a hub for interdisciplinary research on sustainable digital transformation. Her research connects with several major projects including the DATA ALLY project and Data Purchasing project, demonstrating practical applications of her theoretical work in real-world contexts. The DAISY group she co-leads provides an important forum for advancing research on sustainable digital innovation across disciplinary boundaries.
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.
Jura Liaukonyte is an Associate Professor of Marketing and Applied Economics at the Charles H. Dyson School of Applied Economics and Management within the SC Johnson College of Business at Cornell University. She holds a Ph.D. from the University of Virginia (2009). Her research focuses on the intersection of applied microeconomics, industrial organization, and quantitative marketing, with a particular emphasis on advertising content, consumer behavior, and food marketing. She has developed notable work on generic advertising, advertising as a public good, and food labeling issues. Her recent research explores topics like the impact of social media boycotts on sales (e.g., the Goya boycott study), the effects of GLP-1 medication adoption on consumer food choices, and political polarization in consumer goods. She has also contributed to understanding online shopping dynamics and the role of personalized pricing in consumer fairness perceptions. Key projects include analyzing how advertising content influences investor behavior and the effectiveness of comparative advertising in OTC analgesic markets. Her work on GMO/non-GMO labeling and CRISPR-edited food products highlights her engagement with emerging technologies' societal impacts. Liaukonyte's research has been published in top journals like Marketing Science and Management Science. She collaborates with institutions such as Numerator for consumer data insights and maintains an active presence in academic networks, including the Cornell SC Johnson College of Business Research Paper Series. Her lab focuses on data-driven analyses of consumer markets, with ongoing projects on healthiness indices and price fairness in dynamic economic environments.
Ravi Aron is a Professor of Healthcare Strategy & Technology at the C. T. Bauer College of Business, University of Houston, and Research Director of the Healthcare Business Institute. He holds a joint appointment in the Department of Health Systems & Population Health Sciences at the Tilman J. Fertitta Family College of Medicine. He earned his Ph.D. in Management Information Systems from New York University's Stern School of Business. His research focuses on healthcare IT, emergent technologies in healthcare operations, valuation of healthcare startups, and AI applications in healthcare. He has published widely in top journals like Management Science and Information Systems Research, and his work bridges information systems, operations management, and technology strategy. Dr. Aron has extensive teaching experience at The Wharton School, Johns Hopkins Carey Business School, and NYU Stern, winning multiple teaching awards. He advises Fortune 500 firms, startups, and policymakers on technology strategy, digital transformation, and risk assessment. His executive education programs address AI, machine learning, and digital business models for global executives. Key awards include the Dean's Faculty Excellence Award (2016), multiple teaching accolades from Wharton and Johns Hopkins, and the Herman E. Kross Best Dissertation Award (1999). His current projects explore healthcare supply chains, predictive models using machine learning, and valuing technology-enabled startups. He regularly participates in global forums like the World Economic Forum, advising on healthcare innovation and technology policy.
Heather Skipworth is a Professor of Supply Chain Management and Strategy at Cranfield University and Director of the Agile Supply Chain Research Club. Her work focuses on agile supply chains, geopolitical disruptions, and supply chain resilience. She has authored influential texts like Logistics Management and Strategy (2019), ranked among the top supply chain books globally. Her research bridges academia and industry, collaborating with firms like DHL, Nestlé, and VW Logistics to address real-world challenges. Research Interests: Agile and responsive supply chain design Geopolitical and environmental risk management Structural ambidexterity in global supply networks Circular economy practices in SMEs Recent Articles: Focus on geopolitical disruptions, crisis response agility, and supply chain redesign strategies. Key themes include balancing exploration/exploitation paradoxes and resource orchestration under extreme uncertainty. Awards: No specific honors listed, though her impactful publications and industry engagement reflect academic distinction. Labs/Teams: Leads the Agile Supply Chain Research Club, fostering collaboration between academia and industry to innovate supply chain practices.
John Z. Ayanian serves as the Alice Hamilton Distinguished University Professor of Medicine and Healthcare Policy at the University of Michigan, holding joint appointments as Professor of Internal Medicine in the Medical School, Professor of Health Management and Policy in the School of Public Health, and Professor of Public Policy in the Gerald R Ford School of Public Policy. As inaugural Director of the Institute for Healthcare Policy and Innovation (IHPI), he leads a consortium of 700 faculty members across 15 schools and maintains clinical practice as a general internist at Michigan Medicine. His academic foundation includes a Bachelor of Arts in history and political science from Duke University (1982), medical degree from Harvard Medical School (1987), and master's in public policy from Harvard Kennedy School (1987), followed by residency and fellowship at Brigham and Women’s Hospital and post-doctoral training in health services research at Harvard School of Public Health. Dr. Ayanian's research program investigates health equity, access to care, and quality of care with particular attention to social determinants including race/ethnicity, gender, socioeconomic status, and insurance coverage. His work critically examines Medicaid expansion impacts, Medicare Advantage disparities, and policy responses to health inequities, often utilizing large-scale claims databases and cross-institutional collaborations. Current projects include the federally-authorized evaluation of Michigan's Medicaid expansion program serving over 700,000 adults. Analysis of his 15 most recent publications (2025) reveals three dominant research thrusts: (1) Medicare Advantage vs Traditional Medicare comparisons across diverse clinical conditions, (2) Medicaid policy evaluation including unwinding impacts and expansion effects, and (3) innovative measurement of health equity through new indices and AI applications. His work consistently emphasizes methodological rigor in health services research while maintaining strong policy relevance. His scientific honors include: Election to the National Academy of Medicine Master status in the American College of Physicians John Eisenberg National Award for Career Achievement in Research Distinguished Investigator Award from AcademyHealth Election to Alpha Omega Alpha and Association of American Physicians Dr. Ayanian leads the federally-funded Healthy Michigan Plan evaluation team of 15 faculty members and serves as founding Editor-in-Chief of JAMA Health Forum, previously holding editorial positions at the New England Journal of Medicine. His research receives substantial federal support focused on health policy evaluation, with particular emphasis on vulnerable populations. He actively mentors students and junior faculty across multiple disciplines. As Director of IHPI, he fosters interdisciplinary collaboration across 15 schools at the University of Michigan. His leadership extends to center memberships in AI and Digital Health Innovation, Caswell Diabetes Institute, and Center for Global Health Equity, where he promotes data-driven solutions to health disparities through cross-campus partnerships and innovative research methodologies.
Daniel W. Green is an Assistant Professor of Business Administration in the Finance Unit at Harvard Business School , Harvard University. He teaches Finance II to MBA students and pursues research at the intersection of corporate finance, capital markets, and financial intermediation. Education: PhD in Financial Economics – MIT Sloan School of Management BA in Economics & Mathematics – University of Rochester Research Interests: Professor Green’s scholarship centers on how the organization of financial markets shapes firm capital structure and broader economic activity. Current projects explore socially responsible capital allocation, bank exit policies in energy lending, transaction-tax externalities in real-estate markets, and retirement-income innovation. His work spans both theoretical modeling and empirical analysis, drawing on settings as diverse as high-yield debt markets and microfinance. Publications Profile: Across 16 refereed articles, working papers, and Harvard cases, Green’s recent output tackles pressing policy and market questions—from the fiscal impact of Los Angeles’ mansion tax to the real effects of bank divestment from coal. Collectively, these studies illuminate how financing frictions, regulatory policies, and investor preferences jointly determine capital flows, firm behavior, and household welfare. Teaching & Case Development: In addition to Finance II, Green has authored or co-authored multiple award-winning HBS cases covering divestment strategy (Harvard Endowment), retirement product design (RTX Lifetime Income), and competitive bidding (Anadarko Petroleum). Contact: Email: dgreen@hbs.edu Office: 235 Baker Library, Harvard Business School, Boston, MA 02163
Jeeyeon Kim is a Lecturer in the Department of Management and Marketing at La Trobe Business School, La Trobe University. Prior to this, she served as an Assistant Professor at National Sun Yat-sen University in Taiwan. Her research focuses on digital marketing, omnichannel retailing, social media/influencer marketing, and digital healthcare. She holds a PhD and MA from Yonsei University, South Korea, and has held visiting roles at Yonsei University and IE University. Her work emphasizes empirical data analysis and statistical modeling to address marketing challenges. Jeeyeon has secured multiple research grants, including AUD 82,500 from Taiwan's Ministry of Science and Technology (MOST) for projects on big data-driven marketing and digital transformation. She also coordinates grants with Yonsei University and AACSB initiatives. Her editorial roles include serving on the Asia Marketing Journal and Korean Scholars of Marketing Science boards. Her research spans topics such as virtual influencers' impact on social media, omnichannel strategies, and healthcare consumer behavior. Teaching awards include the 'Outstanding Course Teaching Award' and 'Excellent Mentor Award.' She actively reviews for journals like the Asian Pacific Journal of Marketing and Logistics and conferences like the Global Fashion Management Conference.
Professor Ian Marsh is a Professor of Finance at Bayes Business School, University of London. He has held this position since 1998 with a temporary leave at the Bank of England between 2001–2003. His research focuses on credit risk transfer markets, foreign exchange dynamics, and macroeconomic exchange rate modelling. He holds a B.Sc. from Sheffield, an M.Sc. from Birkbeck, and a PhD in Economics from Strathclyde. Marsh's research explores three core areas: macroeconomic exchange rate models, FX/equity market microstructure, and credit derivatives. His work on short-selling bans in the UK won the 2011 INQUIRE Prize. He has supervised over 10 PhD students, including Jason Cen and Kwabena Duffuor, focusing on topics like international finance and microstructure analysis. Key publications include the 2012 Handbook of Exchange Rates and influential studies on central bank interventions and credit default swaps. His work is published in top journals like the Journal of Financial Economics and Journal of International Money and Finance . Marsh serves on editorial boards including the Journal of Banking and Finance , and consults for institutions like the Bank of Finland on credit risk innovations. His media engagements include BBC and Financial Times commentary on financial market policies.
Tridas Mukhopadhyay is the Deloitte Consulting Professor of e-Business at Carnegie Mellon University's Tepper School of Business, where he has served on the faculty since 1986. His academic journey at CMU progressed from Instructor of Information Systems (1986-1987) to Assistant Professor (1987-1993), Associate Professor (1993-1997), Professor (1998-present), and Deloitte Consulting Professor of e-Business (2000-present). He also served as Director of the MS in Electronic Commerce program from 1999-2004. Ph.D. in Computer and Information Systems, University of Michigan–Ann Arbor, 1987 M.B.A. in Computer and Information Systems, Indian Institute of Management Calcutta, 1981 B. Tech. in Electrical Engineering, Indian Institute of Technology Kharagpur, 1978 Professor Mukhopadhyay's research spans multiple critical areas in information systems and technology management. His work on strategic IT use examines how organizations derive business value from information technology investments. He has conducted extensive research on business-to-business commerce, particularly focusing on e-procurement systems, web-based marketplaces, and electronic intermediation models. His cybersecurity research investigates the economic aspects of cyber security, including liability mechanisms and patch release strategies. In software engineering, he has studied productivity, quality metrics, and offshore software development contracts. His most recent publications reveal several key trends in his research trajectory. There's a growing focus on digital platform economics, examining advertising models, virtual currency systems in gaming, and sharing economy dynamics. His work increasingly incorporates behavioral aspects, studying how users respond to personalized content and how backers exert control in crowdfunded projects. Methodologically, his research employs sophisticated analytical approaches including hierarchical Bayesian models, structural equation modeling, and natural experiment designs. CART Research Frontier Award, Carnegie Mellon, 2005 Distinguished Ph.D. Alum, Michigan Business School, 2004 Best Paper, International Conference on Information Systems, 2001 Best Paper, MIS Quarterly, 1995 Xerox Research Chair, Tepper School of Business, 1988-1989 Information Systems Society Distinguished Fellow, 2012 Professor Mukhopadhyay has served on numerous editorial boards including Information Systems Research (1994-2003), Management Science (1999-2003), and MIS Quarterly (1997-1999), demonstrating his significant contributions to the field. His consulting work with major organizations including Alcoa, Chrysler, Ford, General Motors, IBM, and governmental agencies like the United States Post Office and Pennsylvania Turnpike has provided practical insights that inform his academic research. He has been actively involved in university governance through committee service including the Business Technology Faculty Search Committee and the CMU Faculty Senate. His research has been supported through various industry partnerships and academic grants, though specific grant details aren't provided in the source material. His teaching focuses on Business Computing and Strategic IT courses, reflecting his expertise in both foundational information systems concepts and strategic applications of technology in business contexts.
Michel Laroche serves as Professor of Marketing and holds the Royal Bank Distinguished Professorship at Concordia University's John Molson School of Business. He maintains active research leadership through editorship of the Canadian Journal of Administrative Sciences and extensive scholarly contributions across global marketing domains. His educational background includes a Diplôme d'ingénieur from École Centrale de Paris, M.S.E. from Johns Hopkins, and M.Ph./Ph.D. from Columbia University, complemented by an honorary Doctor of Science from the University of Guelph. This multidisciplinary foundation underpins his research approach. Consumer behavior modeling Social media/digital marketing analytics Cross-cultural retailing dynamics Advertising effectiveness in global contexts Internet of Things consumer adoption Artificial intelligence in marketing systems His publication portfolio demonstrates consistent innovation in digital consumer behavior, with recent work examining social commerce cultural dynamics, TikTok authenticity metrics, and pandemic-driven media consumption patterns. Articles consistently integrate technological advancement with deep cultural analysis. Fellow of the Royal Society of Canada Recipient of the Jacques-Rousseau Medal for multidisciplinary research Living Legend of Marketing Award (HEC-Montreal) Hans B. Thorelli Award for international marketing research JBR Outstanding Associate Editor Award (namesake) Laroche has supervised 64 M.Sc. and 27 Ph.D. theses while securing major funding from SSHRC and FQRSC. His editorial leadership spans 16 years as Managing Editor of the Journal of Business Research and current Editor-in-Chief role at CJAS , establishing significant infrastructure for marketing scholarship. Professional service includes presidential roles in ASAC and AMS, plus extensive journal editorial board participation.
Deodat Edward Mwesiumo is a Professor of Supply Chain Management at Molde University College (HiMolde), part of the Faculty of Logistics. He holds a PhD in logistics from the same institution and has extensive teaching and research experience since 2012. His roles include Head of the Supply Chain Management Research Group and member of the PhD committee. Previously, he directed the Bachelor program in Supply Chain Management and Logistics. His research focuses on supply chain resilience, digital business transformation, and tourism management. Key areas include procurement strategies, sustainability, circular economy models, and interorganizational relationships in tourism. He has published in high-impact journals like Production Planning and Control , Journal of Purchasing and Supply Management , and Annals of Tourism Research . Dr. Mwesiumo has led externally funded projects and contributed to over 50 peer-reviewed publications. He is affiliated with research groups such as MIIBS (Marketing, Innovation, International Business & Strategy) and the Transport Research Group (TRG). His teaching spans BSc and MSc levels, including courses on value chain analysis, digital business, and supply chain theory. Recent work emphasizes airport digital maturity, supply chain risk mitigation, and the impact of data-driven decision-making in public procurement. He has authored books like Making Value Chains Work and Fundamentals of Digital Business Management , underscoring his commitment to both academic and applied knowledge dissemination.
Bryan Bollinger is a Professor of Marketing at Dartmouth College Tuck School of Business. Previously, he served as Associate/Professor at NYU Stern School of Business from 2019-2025. His research focuses on the causal effects of policy decisions in sustainability domains, including energy, environment, and health, with grants from DOE, NSF, and EPA. He has authored influential studies on solar adoption, dynamic pricing, and behavioral marketing. PhD in Marketing, Stanford University (2011) BA/BE in Engineering, Dartmouth College (2003) MA in Economics, Stanford University (2010) Research interests include technology adoption, energy policy, peer effects, and empirical methods. His work has appeared in Marketing Science , Management Science , and Nature . He currently edits leading journals like Journal of Marketing and Quantitative Marketing and Economics . Recent articles explore solar subsidy valuations, soda tax impacts, and behavioral strategies for sustainable products. Awards include the AMA-EBSCO Responsible Research Award. Supervised over 20 PhD/postdoc students in marketing and economics. Active in editorial boards and policy advisory roles. Labs/Teams: Collaborates with interdisciplinary groups on energy policy and behavioral science initiatives. Leads research on solar diffusion, climate change consumer behavior, and sustainable marketing strategies.
Dr. Carol Tan is a Senior Lecturer and Program Manager of the Master of Fashion Entrepreneurship at RMIT University's School of Fashion and Textiles. Her research focuses on fast-growth small-to-medium enterprises (SMEs), sustainable fashion practices, consumer behavior, and luxury fashion. She has been actively researching since 2003 and has contributed to peer-reviewed journals, media commentary, and industry reports. Dr. Tan holds six teaching awards, including the RMIT University Program Award for Innovation in Curricula (2013) and the 2011 Three-Minute Presentation Award. She currently supervises five PhD students. Research Highlights: Circular economy in fashion, virtual fashion consumption, blockchain in supply chains, and SME resilience. Media Engagement: Featured in ABC National Radio, The Age, Sydney Morning Herald, and industry reports on Australian fashion industry challenges. Committees: Member of RMIT's Learning and Teaching Committee (2024).
