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Edward J. FoxView profile

Professor

• Retail Management
• Consumer Behavior
• Marketing Science
• +3 more

Edward J. Fox is a Professor of Marketing and the Dean’s Distinguished Research Professor at Southern Methodist University's Cox School of Business . He serves as the W.R. & Judy Howell Director of the JCPenney Center for Retail Excellence , focusing on retail management and shopping behavior. Dr. Fox holds a PhD in Marketing from the University of Pennsylvania's Wharton School, an MBA and MS from Northwestern University, and a BS from the United States Military Academy at West Point. Education : PhD, Marketing, University of Pennsylvania - Wharton School MA, Marketing, University of Pennsylvania - Wharton School MBA, Northwestern University MS, Northwestern University BS, United States Military Academy at West Point His research spans retail management (assortment, pricing, promotion, store location) and consumer shopping behavior , emphasizing economic foundations in modeling customer decisions. Recent publications analyze mergers, multiproduct strategies, and retail format evolution. He has consulted with leading grocery retailers and packaged goods manufacturers, co-authoring practical guides on category management. At SMU, Dr. Fox teaches courses in data analytics , advanced pricing management , and retailing analytics , integrating secondary data, surveys, and experiments into managerial decision-making. His prior roles at Northwestern University’s Kellogg School of Management included research director of the Center for Retail Management and adjunct assistant professor.

Heinrich KuhnView profile

Professor

• Supply Chain Management
• Operations Research
• Production Planning
• +4 more

Professor Heinrich Kuhn serves as Professor of Business Administration, Supply Chain Management & Operations at the Ingolstadt School of Management, Catholic University of Eichstätt-Ingolstadt. His extensive research focuses on planning and control of production systems, flexible production planning, JIT and flow production systems analysis, maintenance, and queueing theory. With a prolific publication record spanning decades, he has established himself as a leading scholar in operations research and supply chain management. His research interests encompass Supply Chain Management, Operations Research, Production Planning, Retail Logistics, Queueing Theory, and Inventory Management. Professor Kuhn has developed innovative approaches for optimizing retail fulfillment processes, managing assortment planning, improving inventory accuracy, and addressing complex production planning challenges. His work bridges theoretical operations research with practical applications in retail and manufacturing industries, with particular emphasis on omnichannel retailing, grocery operations, and sustainable logistics solutions. His research demonstrates consistent evolution from foundational production planning systems to addressing contemporary challenges in digitalized retail environments. Professor Kuhn's recent publications (2021-2024) reveal a strong focus on retail logistics challenges, particularly in grocery retailing during the pandemic, drone delivery systems, vehicle routing optimization, and inventory management. His research shows a clear progression toward addressing digital transformation in retail, sustainable practices, and the integration of physical and online retail channels. The work demonstrates sophisticated methodological approaches including advanced optimization algorithms, simulation modeling, and empirical analysis of retail operations. Throughout his career, Professor Kuhn has maintained extensive collaborations with researchers including A. Holzapfel, A. Hübner, M. Sternbeck, and others. His research provides valuable decision support tools for retail operations, supply chain design, and production planning, with practical applications across multiple industries. His work continues to influence both academic discourse and industry practices in supply chain management and operations research.

Fredrik Eng LarssonView profile

Associate Professor

• Supply Chain Management
• Operations Management
• Sustainability
• +2 more

Fredrik Eng Larsson is an Associate Professor in Operations Management at the Department of Business Administration, Stockholm University. His research focuses on designing efficient, robust, and sustainable supply chains through advanced data analysis and empirical methods, examining global transport systems and last-mile delivery innovations. PhD in Industrial Economics and Logistics from Lund University Postdoctoral Fellow at MIT Collaborations with H&M, McKinsey & Company, Volvo, Swedish Transport Administration, and Swedish Energy Agency Published in Management Science , Manufacturing & Service Operations Management , and European Journal of Operational Research Research Trends: His work connects operations management with environmental sustainability, analyzing how supply chains can adapt to changing consumer patterns and global challenges. Key areas include inventory reliability, green logistics, omnichannel retail operations, and demand estimation under uncertainty. Scientific Contributions: Highlighted inventory record unreliability's impact on demand estimation Developed data-driven methods for omnichannel retail planning Explored behavioral aspects of sustainable delivery choices Practical Impact: Collaborations with industry leaders and public institutions demonstrate his work's relevance to both corporate and policy domains, particularly in climate-smart logistics and retail technology implementation.

• quantitative marketing
• machine learning
• econometrics
• +7 more

Sebastian Gabel is an Assistant Professor at the Rotterdam School of Management, Erasmus University and a Scientific Advisor at the Schwarz Group . His research bridges quantitative marketing , machine learning , and econometrics , focusing on developing scalable methods for consumer behavior modeling in retail contexts. Teaching : Courses on AI-driven marketing strategy, big data analytics, and machine learning applications. Research Focus : Deep learning for personalization, recommender systems, pricing, and assortment optimization. His industry collaborations with leading retailers and marketing solution providers have led to revenue growth through automated personalization systems. Notable awards include the 2017 EMAC Best Paper Based on Doctoral Dissertation Award (Finalist) and the 2022 Frank M. Bass Dissertation Paper Award (Finalist) . His work leverages machine learning to transform raw retail data into actionable insights, particularly through frameworks like Product2Vec and P2V-MAP , which map market structures and optimize store layouts.

Jorge A. SefairView profile

Associate Professor

• Network optimization
• Combinatorial optimization
• Integer programming
• +5 more

Jorge A. Sefair is an Associate Professor and Associate Director at the Center for Applied Optimization in the Department of Industrial & Systems Engineering at the University of Florida. He also serves as Masters Program Co-Coordinator. His expertise spans operations research, mathematical programming, and optimization in environmental/urban planning, public policy, and service systems. Dr. Sefair holds a PhD in Industrial and Systems Engineering from the University of Florida (2015), with prior degrees including an MSc and BSc in Industrial Engineering, and a BA in Economics from Universidad de los Andes, Colombia. His research focuses on network optimization, multistage optimization, and integer programming, with interdisciplinary applications in civil engineering, public health, ecology, and economics. His work has been published in high-impact journals like INFORMS Journal on Computing and European Journal of Operational Research. Research funding comes from the National Science Foundation, Office of Naval Research, and Department of Homeland Security. He received an NSF CAREER award in 2021 for Operations Engineering. Key research trends include optimization models for hydropower planning, human trafficking interdiction, biosurveillance, and conservation planning. Collaborations span diverse fields such as ecology, biology, and economics. Current efforts emphasize scalable solutions for complex, real-world systems.

Tulay FlamandView profile

Assistant Professor

• Retail Analytics
• Operations Research
• Combinatorial Optimization
• +4 more

Tulay Flamand is an Assistant Professor of Business Analytics at the CU Denver Business School. She holds a PhD in Management Science from the University of Massachusetts Amherst and has expertise in retail analytics, optimization methodologies, and supply chain management. Her research focuses on business analytics applications to interdisciplinary areas, including retail analytics, sports analytics, and optimization in mining and renewable energy. She has published in top-tier journals like Operations Research , INFORMS Journal on Computing , and European Journal of Operational Research . She currently serves as an Associate Editor of INFOR . Flamand has received multiple awards, including the 2024 Outstanding Research Award and Excellence in Teaching Awards from the Colorado School of Mines. She has advised several PhD students in areas like supply chain optimization, sports team formation, and energy systems. Her grants include a NSF-funded project on modeling illicit gold supply chains in Peru. She has also contributed to teaching initiatives, including courses in business analytics, supply chain management, and operations research.

• Genetics
• Aquaculture
• Marine Biology
• +3 more

Associate Professor David Hurwood is affiliated with the School of Biology & Environmental Science at Queensland University of Technology (QUT). His research focuses on genetics, evolutionary biology, and aquaculture, particularly in aquatic species such as prawns, fish, and crustaceans. He holds a PhD in Genetics from Griffith University and has contributed extensively to understanding genetic adaptation mechanisms in aquatic organisms. Research interests include freshwater adaptation in prawns, domestication genetics of penaeid shrimp, and the impact of environmental factors (e.g., salinity, temperature) on aquaculture species. His work often combines genomic tools with ecological and evolutionary perspectives. Recent studies highlight his focus on climate change effects, selective breeding strategies, and toxinology in marine organisms. Dr. Hurwood supervises PhD and Master’s students in areas such as shrimp genetics, aquaculture improvement, and biodiversity monitoring. He is affiliated with QUT’s Centre for the Environment. His publications span topics ranging from molecular ecology to applied aquaculture solutions, reflecting his interdisciplinary approach to biological challenges.

• Bayesian Modeling
• Statistical Computing
• Business Analytics
• +3 more

Eric T. Bradlow is the K.P. Chao Professor at The Wharton School, University of Pennsylvania. His expertise lies in applying advanced statistical methodologies to address business challenges, with a focus on Bayesian modeling, statistical computing, and data structure analysis. His research spans applications in Internet search engines, product assortment optimization, and business problem-solving. He has published extensively in top-tier journals including the Journal of the American Statistical Association, Marketing Science, and Management Science. No specific awards, grants, or advising roles are explicitly detailed in the provided text.

• Operations Management
• Supply Chain Management
• Decision Making under Uncertainty
• +15 more

Hajnalka Vaagen is an Associate Professor in the Department of Ocean Operations and Civil Engineering at the Faculty of Engineering, Norwegian University of Science and Technology (NTNU), with an additional affiliation as Associate Professor II at the Norwegian School of Economics (NHH). Her research bridges theoretical and applied aspects of operations management, decision-making under uncertainty, and sustainable transformation. Her educational background includes a PhD in Quantitative Logistics from Molde University College (2009). She has held senior researcher roles at SINTEF Industry and SINTEF Technology and Society, contributing to operations research and industrial applications. Her research interests focus on: Risk and uncertainty management in project-based production systems, particularly in engineer-to-order contexts. Portfolio and assortment optimization in consumer goods, using stochastic modeling. Lean and flexible project delivery, integrating mathematical modeling with empirical data from lean construction. Circular economy initiatives in maritime industries, including ocean plastic pollution mitigation and sustainable supply chains. Industrialization of advanced 3D knitting technologies through digital platforms. The trends in her recent publications reflect a strong interdisciplinary focus combining operations research, sustainability, and behavioral insights. Her work frequently applies stochastic optimization to real-world challenges in shipbuilding, construction, and supply chains, emphasizing both technical and social dimensions of performance. She collaborates internationally, notably with the University of California, Berkeley’s Project Production Systems Laboratory. She has supervised multiple Master’s theses at NTNU, contributing to education in lean principles and ship design planning. Her outreach includes academic lectures at international conferences such as APMS, IFAC, and IGLC. Her research is supported by involvement in EU-funded projects like Blue Circular Economy (BCE) and CIRCNETS, as well as national initiatives such as SuSDesign and Sweet Spot under NTNU’s SusRes program. These projects aim to enable sustainable transformation through innovation ecosystems and policy-oriented operations management.

Ron BermanView profile

Associate Professor

• online marketing
• marketing analytics
• advertising effectiveness
• +7 more

Ron Berman is an Associate Professor of Marketing at the Wharton School of the University of Pennsylvania. He serves as the PhD Coordinator for the Marketing department and teaches Digital Marketing courses across undergraduate, MBA, and Executive Education programs. His office is located at the Jon M. Huntsman Hall on the University of Pennsylvania campus in Philadelphia. Dr. Berman's research focuses on digital marketing analytics and experimentation, with specific expertise in online marketing, marketing analytics, advertising effectiveness, startups and entrepreneurship, game theory, and industrial organization . His work examines A/B testing methodologies, digital advertising, social media marketing, and the application of behavioral economics to marketing problems. He has developed methods to assess and optimize returns from online experiments, targeting and personalization, AI pricing and bidding algorithms, and social media hashtag usage. His recent publication trends reveal a strong focus on large-scale field experiments, particularly megastudies examining behavioral interventions in education and public health contexts. Several of his recent papers involve collaborations with prominent researchers like Katherine Milkman and Christophe Van den Bulte, demonstrating his interdisciplinary approach that bridges marketing science with behavioral economics and public policy. His work spans both theoretical contributions to experimental methodology and practical applications for businesses and policymakers. Among his notable scientific achievements are the Frank M. Bass Dissertation Paper Award (2014) ISMS Doctoral Dissertation Proposal Competition (2014) Dr. Berman serves as an associate editor at Management Science and Quantitative Marketing and Economics (QME) , and is a member of the editorial boards of Marketing Science and the Journal of Marketing Research . Before academia, Dr. Berman gained industry experience as an early-stage venture capital investor at Viola Ventures (formerly Carmel Ventures) and developed software for the Israeli Defense Forces. He maintains strong industry connections, frequently consulting with major technology companies including Google, Facebook, and Wayfair. As an active advisor and investor, he is involved with numerous startups such as Desti (acquired by Nokia), Zimperium (acquired by Liberty Strategic Capital), Abakus (acquired by SAP), Peerspace, Netlify, Stackbit (acquired by Netlify), cauzal.ai, Honeycomb Insurance, and Incrmntal. Dr. Berman teaches courses including Digital Marketing with AI (MKTG2270 and MKTG7270), Independent Study (MKTG3990 and MKTG8990), Econ/Or Models in Marketing B (MKTG9550), Advanced Topics in Marketing Part B (MKTG9720), and Dissertation (MKTG9950). His teaching emphasizes the intersection of data analytics, consumer behavior, and advanced experimental technologies in digital marketing.

Pavol LiptákView profile

Researcher

• Category Management
• Distribution Management
• Retail Marketing
• +3 more

Pavol Lipták is a PhD. student at the Department of Marketing, Faculty of Commerce, University of Economics in Bratislava . His work focuses on Category Management , Distribution in Marketing , and AI applications in business . Education: Pursuing doctoral studies since 2023; Master's in Marketing and Trade Management (2022); Bachelor's in Business in Trade (2020). Research Interests: Category Management, AI-driven retail strategies, and post-crisis business adaptation. Grant Involvement: Co-researcher in projects on AI challenges in marketing and linguistics, and distribution management during crises. Conference Participation: Active presenter at ICISAS 2025, Innovations 2024, and ISCDS 2024; member of organizing teams for CEECBE 2024 and faculty anniversary events. Teaching & Outreach: Tutor for MiniErasmus; promoter at university fairs and roadshows. Key Publications: Analyzed AI profitability in category management, post-pandemic retail strategies, and multilingual pricing effects.

Mumin KurtulusView profile

Associate Professor

• Retail Supply Chain Management
• Operations Management
• Category Management
• +3 more

Mumin Kurtulus is an Associate Professor of Operations Management at the Owen Graduate School of Management, Vanderbilt University . His research focuses on retail supply chain management, particularly category management strategies , collaborative forecasting , and store brand dynamics . He teaches core operations management courses in MBA and Executive MBA programs. Education: PhD in Operations Management, INSEAD (2005) MS in Management, INSEAD (2002) MS in Industrial Engineering, Bilkent University (2000) BS in Physics, Koç University (1998) His research examines how category captainship , direct-store delivery , and private labels influence retailer strategies. Key themes include supply chain collaboration , forecast accuracy , and assortment optimization . Publications appear in journals like Manufacturing & Service Operations Management and Journal of Marketing . Scientific Awards : 2015 Executive MBA Teaching Award 2016 Executive MBA Teaching Award 2016 Dean’s Teaching Innovation Award 2013 Research Productivity Award 2006 Wickham Skinner Best Paper Award 2004 ECR Paper Competition Gold Medal Professor Kurtulus also serves as the faculty head of Moore College, a residential college at Vanderbilt. His work bridges theoretical modeling with practical retail challenges .

Rene HaijemaView profile

Associate Professor

• Inventory Management
• Food Waste Reduction
• Supply Chain Management
• +7 more

Rene Haijema serves as Associate Professor in Operations Research and Logistics at Wageningen University & Research, focusing on inventory management and food waste reduction in retail supply chains. He actively contributes to the International Society of Inventory Research (ISIR) as Executive Committee member and leads multi-disciplinary projects with industry partners to develop practical logistics solutions. Education background: Graduated with distinction from University of Amsterdam PhD in Operations Research (2008), University of Amsterdam; thesis on Markov Decision Theory for blood product inventory management His research centers on perishable inventory optimization using stochastic dynamic programming and simulation , with applications in food waste reduction, dynamic pricing, and omni-channel retail systems. Recent work emphasizes supply chain resilience against disruptions like COVID-19 through decision support systems that integrate real-time quality data. Haijema's publication trajectory shows increasing focus on food waste reduction since 2015, with 2020-2024 works concentrating on dynamic shelf life management, omni-channel inventory rationing, and resilience in European agri-food networks. His approach consistently bridges theoretical stochastic optimization with practical industry implementation. Scientific recognition includes: ORTEC Excellence in Advanced Planning Award (NGB/ORTEC) INFORMS Best Poster Award Finalist: KNAW-Christiaan Huygens Science Award Finalist: Euro Excellence in Practice Award ISIR Service Award (2024) Haijema has supervised four PhD completions and currently mentors three doctoral candidates. His grant portfolio features Horizon 2020's REFRESH project (dynamic pricing for waste reduction), TIFN RE-002 (spoilage reduction), and ZeroW (zero-waste supply chains), involving collaborations with European industry partners on decision support system development. He operates within Wageningen's Operations Research and Logistics group, which develops computational models for perishable supply chains. Current team efforts include REFRESH project implementations and DAVINC3I's virtualized floricultural logistics network, emphasizing real-world impact through industry-academia partnerships.

Sebastian OetzelView profile

Professor

• Marketing Strategy
• Consumer Behavior
• Pricing Strategy
• +6 more

Prof. Dr. Sebastian Oetzel serves as Vice Dean of the Department of Business at Fulda University of Applied Sciences since 2023. He specializes in General Business Administration with a focus on Marketing, teaching courses in Marketing Management, Market Research, and Applied Marketing Statistics. Professorship in Marketing (since 2018) Visiting lecturer at German Jordanian University (2022) Researcher at Goethe University Frankfurt (2008-2012) His research interests span marketing analytics , pricing strategy , behavioral biases , and retail store performance optimization . Recent work analyzes user-generated content for consumer insights and applies conjoint analysis to shopper decisions. Publications emphasize AI in market research , decoy effects , and price metrics for digital services. Key trends in his 2023-2015 publications include behavioral economics applications, scanner data analysis for retail, and machine learning for marketing optimization. The 2023 book "33 Phänomene der Kaufentscheidung" systematizes consumer decision patterns, while case studies like "Project Perfect Shelf" examine product placement strategies.

Juan G. RestrepoView profile

Professor

• Complex Networks
• Synchronization
• Nonlinear Dynamics
• +5 more

Juan G. Restrepo is a Professor in the Department of Applied Mathematics at the University of Colorado Boulder, where he maintains an active research program in complex systems and network science. His work bridges theoretical mathematics with applications in physical, biological, and social systems. Professor Restrepo's research focuses on complex network dynamics, particularly synchronization phenomena, nonlinear dynamics and chaos, spread of information and disease in social networks, and criticality in brain networks. His work spans theoretical foundations of network science while addressing real-world applications from cardiac dynamics to social contagion processes. He has made significant contributions to understanding higher-order interactions in networks through hypergraphs and simplicial complexes, revealing new synchronization phenomena and dynamical behaviors. Analysis of his recent publications reveals a strong trajectory toward higher-order network structures, with increasing focus on hypergraphs, simplicial complexes, and topological approaches to network dynamics. His work connects mathematical theory with applications in neuroscience, quantum systems, epidemiology, and social dynamics, demonstrating the unifying power of network science across disciplines. Recent papers show growing integration of machine learning techniques with traditional dynamical systems approaches. Professor Restrepo maintains an active research group investigating fundamental questions in network dynamics while exploring applications to real-world systems. His work on criticality in neural networks and resource transport mechanisms has implications for understanding brain function and developing more efficient networked systems.