Robert Swinney is the Senior Associate Dean for Executive MBA and Quantitative Management Programs and a Professor of Operations Management at Duke University's Fuqua School of Business. He specializes in strategic supply chain operations, consumer behavior dynamics, and platform management. His research explores sustainability, risk mitigation, and ethical practices within complex supply networks. Education: Bachelor of Science in Astronomy, California Institute of Technology PhD in Operations Management, Wharton School, University of Pennsylvania Prior Role: Associate Professor at Stanford University Graduate School of Business Research Interests: His work addresses operational implications of consumer behavior, start-up and platform operations, supply chain resilience, and ethical sourcing strategies. He emphasizes practical applications in healthcare, food delivery systems, and digital content platforms. Editorial Contributions: Currently serves as Department Editor at Manufacturing & Service Operations Management , with prior roles at Management Science and Production & Operations Management . Advising & Grants: No specific grants or advising roles explicitly listed in provided text.
Samir Mamadehussene is an Assistant Professor of Marketing at the Naveen Jindal School of Management (JSOM), University of Texas at Dallas. His research focuses on pricing strategies, promotional tactics, game theory applications in marketing, and consumer decision-making processes. He holds a PhD from Northwestern University (2016), an MSc from Catolica-Lisbon (2010), and a BA from Catolica-Lisbon (2008). Research Interests Dr. Mamadehussene explores how firms strategically use pricing and promotional tools to influence consumer behavior. He analyzes competitive dynamics in markets using game theory frameworks, with a focus on subscription models, rebate mechanisms, and price-matching guarantees. His work bridges marketing strategy and economic theory, addressing questions such as: - How do information transparency policies (e.g., Sunshine Act) reshape technology markets? - What are the unintended consequences of entrepreneurial activity on incumbent firms? - How do consumers process fragmented information across price comparison platforms? Recent Publications Trends His 2025 Organization Science paper examines entrepreneurship's indirect effects on wage structures, while 2024's Marketing Science work analyzes multiproduct rebate strategies. Recent contributions also explore methodological rigor in economic experiments ( Management Science , 2023) and competitive dynamics under limited consumer awareness ( Journal of Industrial Economics , 2023). His work often combines theoretical models with empirical validation, yielding policy-relevant insights (e.g., 2021 Paul Geroski Prize-winning paper). Awards: EARIE Young Economists' Essay Award (2016), Paul Geroski Prize (2021) Grants/Advising: No explicit grants noted; no listed advisees He collaborates widely with scholars in marketing, economics, and strategy, contributing to top-tier journals. His current research portfolio reflects a strong focus on subscription-based industries and regulatory policy impacts.
Fred Feinberg is the Joseph and Sally Handleman Professor of Marketing and Professor of Statistics (by courtesy) at the University of Michigan, where he is also an Affiliated Faculty member of the Center for the Study of Complex Systems. His work integrates advanced Bayesian methods with large-scale marketing data to illuminate how people make choices under uncertainty. Education Ph.D., Sloan School of Management, Massachusetts Institute of Technology (1989) Doctoral program in Mathematics, Cornell University (1983–84) S.B. Mathematics & S.B. Philosophy, Massachusetts Institute of Technology (1983) Research Focus Feinberg’s scholarship centers on discrete choice models that leverage real-world decisions to infer latent attributes such as demographics, product appeal, and socioeconomic status. Methodologically, he employs Hierarchical Bayes (HB) models and cutting-edge MCMC algorithms to handle massive data sets, while theoretically he advances dyadic utility theory and optimal search under uncertainty. Applications span click-through behavior, menu-based choice, online dating preferences, spatial marketing, and consumer reactions to intangible or aesthetic product features. Recent empirical studies explore the wearout versus weariness effects of online advertising, the impact of data breaches on consumer behavior, and dynamic pricing for digital media subscriptions. Across these projects, Feinberg couples rigorous statistical innovation with actionable managerial insights, bridging marketing science, operations, and engineering. Scientific Awards & Leadership Joseph and Sally Handleman Endowed Professorship Past President, INFORMS Society for Marketing Science Departmental Editor, Production and Operations Management Former Co-Editor, Marketing Science Co-author (with T. Kinnear & J. Taylor) of the textbook Modern Marketing Research: Concepts, Methods, and Cases Grants & Collaborations While explicit grant lists are not provided, Feinberg’s prolific publication record in top-tier journals (e.g., Journal of Marketing Research , Marketing Science , Management Science ) and editorial board service imply sustained external funding and interdisciplinary partnerships, particularly with operations, engineering, and computer-science groups. Laboratories & Teams Feinberg is formally affiliated with the Center for the Study of Complex Systems (CSCS) at the University of Michigan, where he collaborates on network-based choice frameworks and large-scale behavioral data analytics. He maintains active ties to the Ross Marketing faculty and the Department of Statistics, fostering joint workshops and doctoral training initiatives.
Udo Terstege is a Professor of Industrial Engineering at Georg Agricola University of Applied Sciences (THGA) and serves as the Head of the Industrial Engineering (Bachelor) program. He teaches courses in business administration, accounting, and finance, and his research focuses on corporate finance and investment analysis. His educational background includes: Bachelor's and Master's in Business Administration from the University of Dortmund (1980-1985) Doctorate in Political Science (1994) Habilitation (2000) Terstege's research spans corporate finance, investment analysis, and accounting, with a strong emphasis on practical applications in industry. His work addresses topics such as capital budgeting, financial decision-making, and the role of information in financial markets. He has developed educational materials to simplify complex financial concepts for engineering students. His publication record shows a consistent focus on finance and accounting over the past two decades, with recent works including textbooks on investment accounting and corporate financing. These publications often bridge theoretical finance with practical business needs, particularly in the context of engineering and industrial settings. As Head of the Industrial Engineering program, Terstege oversees the curriculum and likely supervises student projects and theses, though specific advisees are not listed in the available information.
Florian Stahl is Professor of Marketing at the University of Mannheim, affiliated with the Department of Business Administration in the Business School. His research focuses on empirical quantitative marketing, digital transformation, and marketing analytics, with applications in digital communications, pricing, and social media. His research interests include: Empirical Quantitative Marketing Marketing Analytics Digital and Social Media Marketing Economics of Data and Digital Products Brand and Advertising Strategy Behavioral and Experimental Marketing Methodologically, he employs applied econometrics, machine learning, and experimental designs. His recent publications center on influencer marketing, online reviews, network effects, and digital content strategies, reflecting a strong trend toward understanding consumer behavior in digital ecosystems using data-driven approaches. His scientific awards include: H. Paul Root Award (2012) MSI Best Paper Award (2012) Donald R. Lehmann Award (2021) IJRM Best Paper Award (2014) Finalist, Paul E. Green Award (2021) Finalist, Harold H. Maynard Award (2012) Florian Stahl has advised numerous research projects and published in top-tier journals, contributing significantly to marketing science. He has held research grants and collaborative projects, though specific grant details are not listed. He leads the Chair of Quantitative Marketing and Consumer Analytics and maintains an active research team focused on digital marketing innovations. His lab, the Quantitative Marketing and Consumer Analytics team, conducts cutting-edge research on user-generated content, influencer dynamics, and digital strategy, leveraging real-world data and experiments.
Paul Geyer is a postgraduate researcher in Political Theory at the School of Politics and International Studies, University of Leeds, within the Faculty of Social Sciences. His research focuses on ideology and social media, particularly critiquing emerging economic models in digital platforms. His work applies critical theory frameworks to analyze the shift from advertising-driven social media to mixed models incorporating subscription services. Recent research highlights structural contradictions in data commodification and the rise of 'peak data' challenges. Key publications include an open-access article in tripleC: Communication, Capitalism & Critique (2024), examining subscription services like Twitter Blue and their implications for digital capitalism. No awards or grants are explicitly mentioned in the provided text, and no advisee students are listed.
Éva Péteri is an Associate Professor at the School of English and American Studies , Department of English Studies , Eötvös Loránd University, Budapest. Her academic work bridges literature, art history, and cultural studies, with a focus on Victorian visual culture and its intersections with Hungarian artistic traditions. Academic Rank: Associate Professor Institution: Eötvös Loránd University Contact: peteri.eva@btk.elte.hu Her research explores Pre-Raphaelite art, Shakespearean visual adaptations, and the cultural memory of British literature in Hungary. She has extensively analyzed Victorian religious imagery, interlibrary cooperation systems, and the socio-political dimensions of 19th-century British painting. Key article trends include: Victorian art's symbolic and moral dimensions Intermedial adaptations of literary works Cultural exchange between British and Hungarian art Documentation of urban and historical narratives in painting Periodical monitoring systems for academic resources Her publications also address library science challenges, including interlibrary loans and digital resource management (2008-2018), though no formal scientific awards are listed. She has not provided student advisement records in available texts.
Hugh Reid is a Lecturer at Carleton University, affiliated with the Faculty of Arts and Social Sciences and the Department of English. He holds degrees from Carleton, Queen’s, and the University of London, with a Ph.D. focusing on eighteenth-century literature. His research centers on the eighteenth-century book trade, particularly book subscription lists and their insights into reading publics. He has a long-standing interest in the Wartons, serving as Advisory Editor for New Perspectives on the Eighteenth Century and contributing extensively to scholarly debates about their literary and cultural influence. Hugh Reid has published 15 significant works, including a 2010 monograph The Nature and Uses of Eighteenth Century Book Subscription Lists and chapters in edited volumes such as the 2022 The World of Elizabeth Inchbald . His articles span biographical entries in the Oxford Dictionary of National Biography (2004), textual discoveries (1987), and critical studies on the Wartons’ relationships with publishers and readership. He has received multiple teaching awards, including the Contract Instructor Teaching Award (2019) and Carleton University Students Association Teaching Excellence Award (1994–1995). He supervised the 1998–1999 M.A. thesis on Henry MacKenzie’s The Man of Feeling and guided research essays on topics like Elizabeth Carter’s poetry (1997–1998).
Qihong Liu is the President's Associates Second Century Presidential Professor and Professor of Economics at the University of Oklahoma, based in Norman, OK. His research focuses on pricing strategies, platform economics, advertising markets, and the airlines industry. He holds a prominent role within the Department of Economics at the College of Arts and Sciences. Liu teaches advanced courses such as Microeconomics II, Industrial Organization, and Mathematical Economics, emphasizing rigorous theoretical frameworks and empirical analysis. His research interests span algorithmic pricing, digital advertising dynamics, and competitive market structures, with a particular emphasis on empirical studies in transportation and consumer behavior. Liu’s work often bridges theoretical models with real-world applications, addressing issues like price discrimination, market entry strategies, and regulatory impacts on industries. He maintains active scholarly engagement through Google Scholar and SSRN, with publications spanning over two decades. While no specific awards are listed, his extensive publication record reflects sustained contributions to economics and industrial organization. His teaching and research activities are integrated through his syllabi, which are publicly accessible, emphasizing analytical rigor and current industry trends.
Dr. Wei Ke is an Adjunct Associate Professor in the Marketing Department at the Leonard N. Stern School of Business, New York University, joining in 2024. He holds a Ph.D. in Decision, Risk & Operations from Columbia Business School and a B.Sc. in Electrical Engineering and Applied Mathematics (summa cum laude) from Columbia University. His professional career is centered at Oliver Wyman, where he serves as a Partner in the pricing, sales, marketing, retail, and business banking practices. Ph.D., Decision, Risk & Operations, Columbia Business School (2009) MPhil, Decision, Risk & Operations, Columbia Business School (2006) B.Sc. (Summa Cum Laude), Electrical Engineering and Applied Mathematics, Columbia University (2003) Wei Ke's research focuses on pricing algorithms and behavioral pricing , exploring how psychological and computational models influence pricing decisions in digital, retail, and financial contexts. His work bridges data science with consumer behavior, emphasizing real-world applications in customer value management and digital sales effectiveness. His recent publications reveal a strong trend in algorithmic and behavioral approaches to pricing across industries such as SaaS, ride-hailing, financial services, and e-commerce. The articles span disciplines including marketing, behavioral economics, data science, and operations research, with recurring subfields like dynamic pricing, consumer segmentation, discount framing, and machine learning for elasticity modeling. His work often combines empirical analysis with strategic implications for firms. Wei has authored over 50 publications in academic and industry journals, contributing significantly to pricing thought leadership. Though no formal awards are listed, his prolific output and consulting leadership underscore his influence in the field. Advises global financial institutions, retailers, and tech firms on pricing and marketing strategy Teaches Pricing Strategies (MKTG-GB.2353.30) at NYU Stern Previously taught at Columbia Business School and Queen’s University Smith School of Business Extensive experience in grant-like consulting engagements with Fortune 500 clients While not affiliated with a formal lab, Wei collaborates closely with industry teams at Oliver Wyman and Simon-Kucher & Partners, contributing to real-world pricing innovation and strategy development in retail, banking, and technology sectors.
Yinan Yu is an Associate Professor of Management Information Systems at the University of Oklahoma's Price College of Business. She holds a Ph.D. in Innovation and Information Management from The University of Hong Kong and a Master of Management Science and Engineering from Tsinghua University. Her research focuses on digital platforms, user-generated content, multi-channel management, and the economics of AI. She has published in top journals like MIS Quarterly and Production and Operations Management. Before joining OU, she worked at the University of Memphis and McGill University. Her research explores how peer feedback, social interactions, and platform policies impact user behavior on digital platforms. Recent studies include examining review systems' design, the effects of video streaming on traditional media, and the causal impact of monetary rewards on content generation. Yu's work bridges business analytics with platform economics, offering insights for optimizing digital ecosystems. Her articles span topics like online review dynamics, multi-channel marketing strategies, and AI-driven content analysis. Notable studies include analyzing restaurant review platforms and the interplay between traditional and social media advertising. Yu’s contributions address challenges in platform governance and user engagement, with applications across industries such as retail, media, and entertainment. Yu has no listed scientific awards but has an extensive publication record. She advises on digital strategies, multi-channel management, and data-driven decision-making. Her work is often cited in discussions about platform economics and user behavior modeling.
Tolga Aydinliyim is an Associate Professor of Operations and Decision Analytics at the Zicklin School of Business, Baruch College, within the City University of New York (CUNY) system. He serves in the Narendra Paul Loomba Department of Management and has held significant leadership roles including Coordinator of the Operations and Decision Analytics area since 2020 and previously served as the Management area Coordinator of the Zicklin PhD Program from 2018-2020. He was also the founding coordinator of the OMEGA research seminar series from 2015-2021. His educational background includes a PhD in Operations Research from Case Western Reserve University (2007) and a BS in Industrial Engineering from Middle East Technical University in Ankara, Turkey (2003). Professor Aydinliyim's research spans several critical areas in operations management with particular focus on the operations-marketing-economics interface, retail operations, revenue management and pricing, closed-loop supply chain management, and capacity allocation in supply chains and healthcare settings. His work addresses practical challenges in sustainable operations, consumer return behaviors, inventory disclosure strategies, and green product design. He approaches these topics through quantitative modeling and empirical analysis, developing frameworks that help organizations optimize their operational decisions while considering market dynamics and consumer behavior. His publication portfolio demonstrates consistent contributions to premier operations management journals. Recent work focuses on closed-loop supply chains, healthcare capacity allocation during crises, strategic consumer behavior regarding product returns, and the impact of inventory disclosure in online retailing. His research shows a clear progression from foundational work in subcontracting and capacity allocation toward more contemporary issues in sustainable operations, omnichannel retailing, and the intersection of operations with marketing and economics. 2021 M&SOM Meritorious Service Award Multiple Summer Research Support grants from Manufacturing 21 Lundquist College of Business Summer Research Support (multiple years) Center for Sustainable Business Practices Summer Research Award Dean's High Honor List at Middle East Technical University Full Tuition plus Stipend for Top 100 students in Turkey Professor Aydinliyim has secured multiple research grants from PSC-CUNY including projects on healthcare capacity rationing, green product line design, closed-loop supply chains, and omnichannel partnerships for managing product returns. He serves as an Associate Editor for Decision Sciences and OMEGA journals, and has held numerous editorial and conference committee positions including track organizer for major conferences like POMS and DSI. His service extends to reviewing for numerous prestigious journals across operations research and management science. He has established the OMEGA research seminar series which served as an important platform for scholarly exchange in operations management from 2015-2021. His research collaborations span multiple institutions and include partnerships with researchers from various disciplines addressing complex operational challenges in retail, healthcare, and sustainable supply chains.
Michael Wayne is an Assistant Professor in the Department of Media and Communication at the Erasmus School of History, Culture and Communication, Erasmus University Rotterdam. His research centers on critical television studies, streaming media, and audience analysis, with a focus on global platforms like Netflix. He is affiliated with the Global Internet TV Consortium and has contributed extensively to journals such as Media, Culture & Society , Convergence , and Journal of Popular Television . PhD in Sociology, University of Virginia, USA Kreitman Post-Doctoral Research Fellow, Ben-Gurion University of the Negev, Israel (2015–2018) His research explores the intersection of media industries, cultural discourse, and audience reception, particularly in the context of global streaming. Using qualitative methods, he investigates how platforms like Netflix shape cultural authenticity, represent minority identities, and construct global audiences through data-driven metrics like the 'Global Top 10'. His work critically engages with the political, economic, and sociolinguistic dimensions of digital content distribution. Recent publications reveal a strong focus on transnational storytelling, cultural representation, and the geopolitical implications of streaming metrics. His articles analyze how local signifiers are adapted for global audiences and how platforms negotiate cultural differences in original programming. Themes of race, identity, and industry discourse recur across his scholarship. Michael previously served as managing editor of The Communication Review from 2011 to 2015, contributing to academic discourse in media studies. While no formal scientific awards are listed, his work has garnered attention in academic and public spheres, with citations and media mentions. He has delivered several academic presentations on OTT marketing, Netflix’s industry strategies, and media discourse, indicating active engagement with scholarly communities. Although no current grants or advising roles are specified, his collaborative publications suggest ongoing research partnerships. He is a key contributor to critical debates on the globalization of television and the cultural politics of streaming platforms.
Michaela Draganska is an Associate Professor of Marketing at the LeBow College of Business, Drexel University. She holds prior academic positions including Lecturer at the Wharton School (2011–2013) and Associate/Assistant Professor at Stanford Graduate School of Business (2001–2013). Her research focuses on marketing strategy, digital marketing, consumer behavior, and manufacturer-retailer interactions. Key areas include advertising effectiveness, product-line pricing, and channel dynamics. Education: Not explicitly listed, but professional experience indicates advanced training in marketing and economics. Research Interests: Her work bridges empirical marketing, strategic interactions, and digital content. Recent studies analyze advertising impacts on retail channels, digital vs. traditional media efficacy, and bargaining power in distribution channels. Methodologically, she employs structural econometric models and panel data analysis. Publications: Over 20 peer-reviewed articles in top journals like Journal of Marketing Research and Marketing Science . Recent trends emphasize digital marketing's role and strategic pricing in competitive markets. Awards: No specific awards listed. Active in journal editorial roles, including membership in Marketing Science (2017–2023) and Journal of Marketing (2017–2023). Advising/Grants: No student advisees listed. Research contributions focus on theoretical and applied marketing strategy without explicitly mentioned grant funding details.
Verena Schoenmueller is an Assistant Professor in the Department of Marketing at ESADE Business School, Ramon Llull University. Her research sits at the intersection of digital marketing, consumer behavior, and social media dynamics, with a focus on authenticity, polarization, and user-generated content. Her primary research interests include: Digital and Social Media Marketing Consumer Behavior in Online Environments Brand Authenticity and Trust Political and Preference Polarization Online Reviews and Sentiment Analysis Subscription Service Dynamics Dr. Schoenmueller’s recent publications explore the spread of fake news, the behavioral consequences of deplatforming, and the psychological underpinnings of extreme online reviews. Her work frequently appears in top marketing journals such as the Journal of Marketing Research and Marketing Science , and she regularly presents at leading conferences including EMAC and ISMS. The overarching trend in her research is understanding how digital platforms shape consumer cognition, emotion, and decision-making in increasingly polarized environments. She earned her PhD in Business Administration from the University of Basel, a Master in Business Administration from ESSEC, and completed her undergraduate studies in Business and Economics at the University of Mannheim. While no formal list of advisees is provided, her role as a Contracted Doctoral Professor indicates active involvement in PhD-level teaching and supervision. She has not received any explicitly mentioned scientific awards. There is no indication of part-time status or retirement. Her research has implications for brand strategy, platform governance, and public policy around digital misinformation and consumer protection.
