جست‌وجوی استاد و پژوهشگر

Yanni Pingمشاهده پروفایل

دانشیار

• E-commerce Analytics
• Machine Learning Applications in Business
• Operations Management
• +۳ مورد دیگر

Dr. Yanni Ping is an Associate Professor in the Business Analytics & Information Systems Department at St. John's University's Peter J. Tobin College of Business. She holds a Ph.D. in Decision Sciences from Drexel University, an MS in Industrial Engineering from Georgia Tech, and a BS in Material Science and Engineering from Shanghai Jiao Tong University. Her research focuses on E-commerce analytics , leveraging machine learning, econometrics, and large language models to address service and operational challenges. Key themes include recommender systems, content creator performance, and KOL influence analysis. She also explores supply chain coordination mechanisms and disaster preparedness strategies. Teaching responsibilities include courses like Machine Learning for Business, Text Analytics, and Prescriptive Analytics. Dr. Ping currently serves as Associate Editor for Electronic Commerce Research and has published in journals such as Journal of Services Marketing and Electronic Commerce Research and Applications . Her work bridges marketing, operations, and data science with a focus on real-world business applications. Recent publications analyze user engagement in recommender systems, the impact of peer influence on video game adoption, and the moderating effects of pandemic attitudes on brand loyalty. Her research combines rigorous quantitative methods with practical industry insights. Dr. Ping's academic journey includes interdisciplinary collaborations across business analytics, operations management, and digital marketing. She actively contributes to global scholarly networks through conference presentations and editorial work.

Jason BIANمشاهده پروفایل

استاد

• Logistics
• Supply Chain Management
• Sustainability
• +۴ مورد دیگر

Jason BIAN is a Full Professor at Rennes School of Business, specializing in Logistics, Operations, and Supply Chain Management with a focus on Sustainability, Corporate Social Responsibility, and Strategic Management. He holds a PhD in Management Sciences from City University of Hong Kong (2013) and a Bachelor's from AUFE (2008). His research explores competitive strategies, environmental policies, and supply chain innovations. Research interests include sustainable supply chain design, green technology investment, and managerial delegation in mixed markets. Recent work addresses emissions abatement, platform-based retailing strategies, and recycling policies in e-commerce. His articles span journals like Computers & Operations Research, Annals of Operations Research, and European Journal of Operational Research. No scientific awards are explicitly mentioned. His academic journey includes roles as Senior Lecturer at Macquarie University and Associate Professor at La Trobe University. He has contributed over 30 peer-reviewed articles, focusing on operational efficiency, environmental regulations, and supply chain dynamics.

Yuchi Zhangمشاهده پروفایل

دانشیار

• E-commerce
• Digital Promotions
• Social Media Strategy
• +۳ مورد دیگر

Yuchi Zhang is an Associate Professor of Marketing and Program Director of the Master's of Science in Marketing Program at Santa Clara University's Leavey School of Business. He holds a Ph.D. in Marketing from the University of Maryland and a B.S. in Economics from the Wharton School, University of Pennsylvania. His research focuses on e-commerce, digital promotions, and social media strategy, employing Bayesian methods, machine learning, and field experiments to study consumer decision-making in technology-enabled environments. He has published in top journals like Marketing Science and Journal of Marketing Research. Dr. Zhang teaches undergraduate and graduate courses in Principles of Marketing and Social Media Marketing. He has received outstanding teaching and research awards at Santa Clara University, reflecting his dual commitment to pedagogy and scholarly impact. His work explores topics such as omnichannel retailing strategies, the impact of social media influencers, and the interplay between online and offline consumer behavior. He currently oversees the MS Marketing Program, emphasizing practical industry-relevant training.

• Sustainable operations and circular supply chains
• Multi/Omni-channel distribution and supply chain network design
• Process optimization in manufacturing and service operations
• +۳ مورد دیگر

Dr. Nail Tahirov is an Assistant Professor in Operations & Supply Chain Management at Durham University Business School. He holds a PhD in Production and Supply Chain Management from the Technical University of Darmstadt, Germany, and conducted postdoctoral research at the University of Zurich, Switzerland. His research focuses on applying management science techniques to optimize operations across industries, particularly in internal logistics, scheduling, and corporate education. Key areas include sustainable operations, multi-channel supply chain design, and process optimization in manufacturing/service sectors. His publications span European Journal of Operational Research , International Journal of Production Economics , and others, addressing topics like last-mile distribution networks, service-level anchoring in demand forecasting, and closed-loop supply chain optimization. His work emphasizes practical applications such as encroaching manufacturer strategies, workforce scheduling in hospitality, and automated warehouse logistics. Tahirov’s research integrates theoretical frameworks with real-world consultancy projects, aiming to resolve operational inefficiencies in both manufacturing and service industries. No scientific awards are explicitly listed in the provided materials. His advising and grant activities are currently unspecified, though his research collaborations involve institutions like TU Darmstadt, University of Zurich, and industry partners. No dedicated lab or team affiliations are noted in the profile.

• Supply Chain Management
• Operations Management
• Behavioral Operations
• +۳ مورد دیگر

Ye Qing is a Tenured Associate Professor in the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University. She has been serving in this position since 2013, after previously working as an Assistant Professor at the same institution from 2007 to 2013. Dr. Ye received her PhD in Industrial and Operations Engineering from the University of Michigan in 2006. Prior to that, she earned a Master of Systems Engineering (2001) and a Bachelor of Automation (1998), both from Tsinghua University. Dr. Ye's research focuses primarily on Supply Chain Management, with special emphasis on behavioral aspects of operations. Her work spans several key areas including Capacity and Inventory Management, Operation Management under Asymmetric Information, and Behavioral Operations Management. She has made significant contributions to understanding how psychological factors influence decision-making in supply chain contexts, particularly in gig economy settings and incentive contract design. Analysis of Dr. Ye's publication record reveals a strong focus on the intersection of operations management and behavioral economics. Her recent work has increasingly examined the gig economy and platform-based work arrangements, while maintaining her foundational research in traditional supply chain dynamics. A notable trend is her methodological approach, which often combines rigorous theoretical modeling with experimental validation. Dr. Ye has taught several key courses at Tsinghua University including Dynamic Programming, Operations Management, Supply Chain Management, and Data, Models, and Decisions, contributing significantly to the education of future business leaders and researchers.

Scott Shriverمشاهده پروفایل

دانشیار

• Online Privacy
• Network Effects
• Sustainability
• +۵ مورد دیگر

Scott Shriver is an Associate Professor of Marketing at the Leeds School of Business , University of Colorado Boulder . He holds a PhD in Marketing from Stanford University , with additional Master's degrees in Economics and Physics from Stanford, and an MBA from UCLA Anderson School of Management . His research spans online privacy , network effects , sustainability , empirical industrial organization , and applied econometrics . Education : PhD (Marketing, Stanford), MA (Economics, Stanford), MA (Physics, Stanford), MBA (UCLA) Shriver's publications appear in Management Science , Marketing Science , and Marketing Letters . His work on GDPR's economic impacts (2024) and ethanol market diffusion (2015) has earned John D.C. Little Awards (2015, 2020) and the Frank M. Bass Dissertation Award (2015). He teaches Customer Analytics across degree levels and Quantitative Marketing in the PhD program. Recent research trends include privacy regulation , multi-channel demand analysis , and user-generated content on digital platforms. Earlier works from his physics background include planetary studies (1994) but his modern focus remains on digital economics and sustainable business practices . Scientific Awards : John D.C. Little Award (2015, 2020) Frank M. Bass Award (2015) Swiss Academy of Marketing Science Award (2014) Shriver advises PhD students and contributes to curriculum development in analytics programs. His personal faculty website hosts working papers and publications. Office hours are held in Koelbel 429 .

Seyed M.R. Iravaniمشاهده پروفایل

استاد

• Stochastic processes
• Queuing theory
• Game theory
• +۷ مورد دیگر

Seyed M.R. Iravani is Professor of Industrial Engineering and Management Sciences at Northwestern University's McCormick School of Engineering, with courtesy appointment at the Kellogg School of Management. His research focuses on applications of stochastic processes, queuing theory, game theory, and social networks to design and control of manufacturing, service operations, healthcare systems, supply chains, and nonprofit systems. His research interests emphasize improving flexibility, coordination, and responsiveness in complex operations systems. Professor Iravani develops mathematical optimization models to analyze optimal system behavior, provide managerial insights, and create practical implementation strategies for real-world operations challenges. His work spans manufacturing systems, healthcare operations, supply chain management, service operations, and nonprofit operations. The analysis of Professor Iravani's publications reveals a consistent focus on operations management challenges across multiple domains. His research employs analytical methods including stochastic processes, game theory, queueing theory, and social networks to address problems in capacity allocation, resource management, supply chain coordination, and service system design. A notable trend is his increasing focus on healthcare operations and nonprofit systems in recent years, while maintaining strong contributions to fundamental operations management theory. Professor Iravani has served on editorial boards of leading journals including Operations Research, Management Science, Service Science, IIE Transactions, and Naval Research Logistics. He has collaborated with organizations such as GM, Ford, Motorola, GE, Northwestern Memorial Hospital, Chicago Food Depository, Facebook, and Roti Mediterranean Restaurants to improve operational performance. He teaches courses including Production Planning and Scheduling, Service Operations Management, Operations, and Operations Management for MBA students. He has also authored the textbook 'Operations Engineering and Management: Concepts, Analytics and Principles for Improvement' published by McGraw Hill in 2020, which has become a standard resource in operations engineering education.

Isabella Maggioniمشاهده پروفایل

دانشیار

• Consumer Behavior
• Marketing Psychology
• Luxury Management
• +۵ مورد دیگر

Dr. Isabella Maggioni is an Associate Professor of Marketing and Academic Director of the MSc in Luxury Management at ESCP Business School (Turin campus). Her research focuses on consumer behavior, luxury retail, sustainable consumption, and technology-driven marketing solutions. She has published in leading journals like the Journal of Business Research and European Management Journal , with a strong emphasis on bridging academic theory with industry application. Her work explores how technology (e.g., AI, robotics) shapes consumer experiences, alongside themes like ethical consumption, brand identity alignment, and post-pandemic digitalization in fashion and retail. She collaborates with global organizations to deliver actionable insights on retail innovation and service design. Maggioni’s research often intersects with societal challenges such as climate change and youth engagement in sustainability. Notable contributions include studies on NFTs in luxury markets, neurophysiological responses to retail robotics, and digital servitization strategies for SMEs during crises. Her academic leadership in luxury management education is complemented by expertise in cross-channel consumer behavior and B2B sales automation.

Jonna Pauliina Koponenمشاهده پروفایل

استاد

• E-leadership
• Digital Communication
• Digital Transformation
• +۷ مورد دیگر

Jonna Pauliina Koponen is a Professor and Academy Research Fellow at the University of Eastern Finland , affiliated with the Faculty of Social Sciences and Business Studies and the Business School . Her research focuses on e-leadership, digital transformation, and communication competence in B2B sales and AI-integrated teams. Research Interests : E-leadership, digital communication, AI ethics, cross-cultural B2B relationships, sales digitalization. Projects : Leading the Academy of Finland-funded project E-leadership with digital communication (2021–2026) , decision number 342265. Her recent publications explore trends in digital leadership , AI integration , and cross-cultural sales dynamics , emphasizing practical frameworks for hybrid teams and ethical AI. Key themes include virtual team management, technology-mediated communication, and value network transformation. Scientific Awards : Academy Research Fellow BEST PAPER IN TRACK (2021) Koponen's work spans empirical studies, theoretical frameworks, and industry applications, with collaborations across IT, healthcare, and education sectors. She advocates for flipped classrooms and simulation-based training in communication pedagogy.

Jan KLEINمشاهده پروفایل

دانشیار

• Digital Marketing
• Service Innovation
• Customer Experience
• +۴ مورد دیگر

Jan KLEIN is an Associate Professor of Digital Marketing at IÉSEG School of Management in France. His academic career includes roles as Assistant Professor at Tilburg School of Economics and Management (2017-2023) and adjunct faculty positions at Aalto University and Management Center Innsbruck. He holds a Ph.D. in Marketing from the European Business School (2015), an MBA from KATZ Business School (USA), and a Master's in Automotive Management. His research focuses on Digital Marketing, Service Innovation, and Customer Experience, particularly in omnichannel environments and B2B contexts. Notable contributions include studies on technology-enabled personalization, blockchain applications in sharing economies, and customer journey analysis in digital media. His work bridges academic rigor with practical insights for retail and service industries. Dr. Klein has been recognized with numerous teaching awards, including multiple Excellence in Teaching Awards from Tilburg University (2017-2021) and the Arnd Schikowsky Award (2013). His publications span leading journals like the Journal of Service Research and Industrial Marketing Management. He actively engages in executive education through Aalto University and other institutions. His research emphasizes measurable customer experience frameworks and the strategic use of emerging technologies. Current projects explore the integration of big data analytics in customer journey mapping and the impact of blockchain on trust in peer-to-peer markets.

Bin Huمشاهده پروفایل

استاد

• Procurement and Supply Chain Management
• Innovative Operations
• Freemium Services
• +۳ مورد دیگر

Bin Hu is a Professor of Operations Management at the Naveen Jindal School of Management, University of Texas at Dallas. He holds a PhD in Business Administration from the University of Michigan and a BS in Mathematics from Peking University, with academic appointments spanning the University of North Carolina at Chapel Hill and UT Dallas. Education: PhD (University of Michigan, 2011), BS (Peking University, 2005) His research focuses on procurement and supply chain management, innovative operations, and sustainability. Current work includes analyzing scope 3 emission disclosures, battery-as-a-service models, and food waste reduction through ugly produce retailing. He explores freemium service monetization and user conduct regulation in digital platforms. Notable awards include the 2018 Outstanding Senior Editor for Production and Operations Management, 2012 ProQuest Distinguished Dissertation Award, and 2011 Charles H. Gessner Fellowship. His scholarship addresses supply chain disruptions, vertical integration, and technology sharing strategies. Professional Affiliations: INFORMS, MSOM, POM Societies He has advised numerous PhD students and served on editorial boards for leading journals like Management Science and Production and Operations Management. His work bridges operational efficiency with environmental responsibility, emphasizing contractual design and behavioral dynamics in supply chains.

Sanjay K Dharمشاهده پروفایل

استاد

• Strategic Marketing Management
• Brand Management
• New Product Development
• +۱۲ مورد دیگر

Sanjay K. Dhar, the James M. Kilts, Jr. Professor of Marketing at the University of Chicago Booth School of Business, is a leading scholar in strategic marketing management and retail dynamics. His work bridges empirical economic modeling with actionable business insights. Education: B.Tech (IIT), MBA (IIM), PhD (UCLA Anderson School) Affiliation: Faculty member at Chicago Booth since 1992 Research interests span brand management , consumer behavior , and retail strategy , with a focus on how economic factors and marketing mix variables influence household budget allocations and brand performance . His empirical work leverages massive datasets like Nielsen Homescan to uncover geographic patterns and long-term consumer trends . Recent publications examine on-screen cigarette product placement effects, WIC program impacts on cereal consumption, and retail format competition . His 2025 under-review paper extends these insights to multi-category budget reallocation during macroeconomic shifts. Scientific Recognition includes: William O’Dell Award Finalist (2012) Paul Green Award (2008) John D. C. Little Award (1995) McKinsey Teaching Excellence Award (2000) Hillel Einhorn Teaching Awards (2008, 2012) Dhar’s teaching philosophy emphasizes mastering fundamentals to solve complex marketing problems. He advises firms on strategic marketing and new product development while maintaining active research in consumer packaged goods (CPG) industries.

• Inventory Management
• Logistics
• Supply Chain Management
• +۴ مورد دیگر

TRAN Minh Tam is an Assistant Professor at NEOMA Business School, France, specializing in Management Science and Operations Research. He holds a PhD in Industrial Engineering from INSA Lyon and dual Master’s degrees in Statistical and Financial Engineering, Data Science, and Mathematics of Insurance, Economics, and Finance from Paris Dauphine University, PSL University, and École Normale Supérieure de Paris. Research Focus: Digital transformation of supply chains, with emphasis on blockchain, AI, and data-driven decision-making Key Topics: Dual/multi-channel retailing, pricing strategies, stochastic demand modeling, omnichannel optimization Methodologies: Machine learning, operations research, game theory His work addresses cost reduction, service level improvements, and inventory accuracy challenges through quantitative models. Publications appear in journals like the International Journal of Production Economics and at conferences including INFORMS and ISIR. He previously conducted postdoctoral research at CentraleSupélec’s Industrial Engineering Laboratory and Future Cities Lab.

Tim Oliver Brexendorfمشاهده پروفایل

استاد مدعو

• Consumer Goods Marketing
• Brand Management
• Product Innovation Management
• +۲ مورد دیگر

Tim Oliver Brexendorf is an Adjunct Professor at WHU - Otto Beisheim School of Management, where he is affiliated with the Marketing and Sales Group. His research focuses on Consumer Goods Marketing, Brand Management, Product Innovation Management, Manufacturer-Retailer Relationships, and Product Design and Packaging. He holds the academic title of 'apl. Prof. Dr.' and can be reached at tim.brexendorf@whu.edu. His expertise includes developing strategies for corporate brand integration, internal brand advocacy, and leveraging social media for brand engagement. He has extensively studied manufacturer-retailer dynamics, brand equity measurement, and the role of innovation in brand success. Key research themes include behavioral branding, brand funnel analysis, and the impact of internal corporate culture on brand consistency. Brexendorf’s publications span topics such as luxury brand management, digital brand experience on platforms like Facebook, and the strategic control of brand behavior through systematic frameworks. His work often bridges theoretical marketing concepts with practical applications in FMCG industries and multinational corporate environments. While his research emphasizes global brand management challenges, he has also explored niche areas like sponsorship effectiveness, employee brand ambassadorship, and multi-sensory brand experiences. His contributions highlight the integration of internal and external branding strategies to build holistic brand ecosystems.

Mitra Baratchiمشاهده پروفایل

دانشیار

• Spatio-Temporal Data Analysis
• Machine Learning
• Mobility Data Modeling
• +۵ مورد دیگر

Mitra Baratchi is an Associate Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University. She leads the Spatio-temporal data Analysis and Reasoning (STAR) research group, co-leads the Automated Design of Algorithms (ADA) group, and founded the Special Interest Group on Spatio-Temporal Data Mining (SIG-SDTM) . PhD from University of Twente (Mobility Data) Master’s/Bachelor’s in Computer Engineering, Iran Research Interests focus on automated pattern extraction from spatio-temporal data across urban, environmental, and industrial domains. Key applications include: Automated Machine Learning (AutoML) for Earth Observations Time-Series Forecasting for public health (e.g., pandemic modeling) Urban Mobility Optimization with ESA, Honda, and municipalities Reliable Vehicular Communication Systems Smart Garments for Health Risk Detection Geocast Protocols for Internet-wide Communication Grant Highlights include €120K NWO-Aspasia, €2.9M Marie Skłodowska-Curie, €350K NWO-KLEIN, and €135K Center for BOLD Cities funding. She has supervised 12 PhD students and 4 current Master’s students since 2011, with notable best paper award at WWIC'16. Teaching includes Machine Learning (2020-present) and Urban Computing (2018-present) at Leiden, plus past courses in Data Visualization, Software Engineering, and Research Methods.