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Mohammad Saifur RahmanView profile

Professor

• Digitization Economics
• Omnichannel Retailing
• Innovations and Inequality
• +8 more

Mohammad Saifur Rahman is the Daniels School Chair in Management and a Professor of Management Information Systems at the Mitch Daniels School of Business, Purdue University. Previously, he was an Associate Professor at the Haskayne School of Business, University of Calgary. His academic journey includes significant leadership roles such as co-chairing the Conference on Information Systems and Technology (CIST) in 2013 and serving as president of the INFORMS eBusiness Society in 2014. Currently, he serves as an associate editor for both Management Science and Information Systems Research (ISR). Ph.D. in Management Information Systems, Krannert School of Management, Purdue University (2008) MBA in Management Information Systems, Southern Illinois University (2004) BS in Computer Science, Southern Illinois University (2002) Rahman's research primarily focuses on the economic implications of digital transformations. His work examines how digitization affects consumer behavior, market structures, and business strategies across various industries. He investigates the value of digital traces in driving consumer behavior and improving decision-making, particularly in omnichannel retail environments. His research on the sharing economy has revealed important insights about economic disparities, showing how platforms like Airbnb provide economic benefits to predominantly white neighborhoods while failing to generate similar spillover effects in predominantly Black or Hispanic neighborhoods. His recent publications reveal a consistent focus on the intersection of technology, economics, and social impact. Rahman's work frequently examines how local market structures interact with digital platforms to create or exacerbate economic inequalities. His research spans multiple disciplines including information systems, economics, marketing, and operations management, with a particular emphasis on empirical studies using real-world data from major companies like Walmart and Cisco. CICP Faculty Commercialization Award (2020) INFORMS Sandy Slaughter Early Career Award (2018) World's Top 40 Business School Professors Under 40 by Poets and Quants (2017) Jay N. Ross Young Faculty Scholar Award (2015) Dean's Award for Outstanding Research Achievement (University of Calgary, 2014) Rahman has secured substantial research funding from organizations including Social Sciences and Humanities Research Council (SSHRC), Adobe Systems ($50,000 grants in 2017 and 2020), Trask Innovation Fund ($21,218), and NSF I-Corps ($50,000). He has advised numerous PhD students and collaborated with industry partners to translate research into practical applications. Rahman co-founded RightFit Analytics, a precision health analytics solution that utilizes AI to learn success patterns in healthcare. He has organized significant academic events including the Krannert-Walmart Data Dive (believed to be the first data dive on a college campus) and the Dawn or Doom Data Dive in cooperation with Cisco. Rahman actively engages with industry through consulting and collaborative research projects. His work with Walmart, Cisco, and other major corporations demonstrates his ability to bridge academic research with practical business applications. He has been particularly active in studying how AI and big data analytics can be leveraged to improve business decision-making while addressing potential negative consequences like algorithmic bias and economic inequality.

Michael C.L. CHAUView profile

Professor

• Business Analytics
• Artificial Intelligence
• Web Mining and Social Media
• +8 more

Professor Michael C.L. CHAU serves as Professor and Deputy Area Head of Innovation and Information Management at The University of Hong Kong's Faculty of Business and Economics. He also holds the position of Associate Director at the HKU HKJC Centre for Suicide Research and Prevention, and serves on the HKU Senate and Court. His academic journey includes a Ph.D. in Management Information Systems from the University of Arizona and a B.Sc. in Computer Science (Information Systems) from the University of Hong Kong. Dr. Chau's research spans business analytics, artificial intelligence, web mining, fintech, smart health, and security informatics. His work focuses on applying data/text/web mining techniques to business, education, and social domains. He leads the Artificial Intelligence Research Group at HKU Business School, which has secured significant funding from the Hong Kong Research Grants Council, Food and Health Bureau, and other agencies for projects including 'The Invisible Hand in Crowdfunding' and 'Factors Moderating the Predictive Power of Social Media Sentiment on Stock Returns'. His publication portfolio includes over 150 articles in premier journals like MIS Quarterly, JMIS, and IEEE Transactions, with recent work exploring large language models, hate speech detection, and disaster-related social media analysis. His research demonstrates strong interdisciplinary connections across computer science, information systems, and business applications. INFORMS ISS Design Science Award (2020) IEEE ITSS Leadership Award in Intelligence and Security Informatics (2020) AIS Sandra Slaughter Service Award (2016) HKU Outstanding Young Researcher Award (2014) Faculty Research Postgraduate Supervision Award (2020 & 2025) Cited over 9,400 times (h-index = 47) Dr. Chau actively mentors doctoral students and has supervised numerous PhD graduates who now hold academic positions at institutions including Fudan University, Xi'an Jiaotong-Liverpool University, and the University of Maryland. His research grants portfolio demonstrates sustained funding success across diverse areas including blockchain, mental health applications, and social media analytics. The Artificial Intelligence Research Group he leads maintains strong industry connections through projects with Hong Kong Red Cross and the Hospital Authority.

Xavier BrussetView profile

Professor

• Supply Chain Management
• Logistics
• Operations Management
• +6 more

Xavier Brusset is a Professor in Supply Chain at SKEMA Business School since 2016, where he also serves as Director of the PRISM Research Center since 2017. Previously, he held professorial positions at Toulouse Business School (2015-2016) and ESSCA School of Management (2009-2015), where he was responsible for the Master 2 in Purchasing and Supply Chain Management program. His academic journey includes a PhD in Management Sciences from Université Catholique de Louvain (2010) and a Habilitation à Diriger des Recherches from Université Paris Ouest Nanterre La Défense (2016). His research spans multiple critical areas in supply chain management, with particular focus on supply chain resilience, blockchain applications, weather risk management, and pandemic impacts on supply chains. Brusset has developed innovative approaches to understanding how supply chain partners interact, how information affects their behavior, and how external disruptions like weather anomalies and pandemics impact operational efficiency. His work bridges theoretical models with practical applications, often developing decision-support tools for managers facing complex supply chain challenges. Brusset's publication record shows a clear evolution of research interests, beginning with foundational work on supply chain contracts and information sharing, then expanding to weather risk management, and most recently focusing on pandemic disruptions and blockchain applications. His 15 most recent publications (2018-2025) demonstrate increasing sophistication in modeling complex supply chain phenomena, with particular emphasis on network effects, ripple effects, and multi-echelon optimization under disruption scenarios. Editorial board member of Logistics Research Editor of International Journal of Retail and Distribution Management (2022-2023) Recognized EU expert for CINEA research projects evaluation Organizer of the Colloquium on European Research in Retailing (CERR) Reviewer for multiple top journals including International Journal of Production Economics As an advisor, Brusset has supervised doctoral students including R. Alkhudary (co-director, Université Paris 2 Panthéon-Assas) and V. Capocasale (rapporteur). His professional experience extends beyond academia to include industry roles in financial markets and logistics technology, having co-founded WebLogistix, a platform for sharing logistics information in Argentina. His research has practical applications across multiple sectors, particularly in retail, food supply chains, and manufacturing, where he develops tools to help managers mitigate risks and optimize operations under uncertainty.

Kusum L. AilawadiView profile

Professor

• Marketing
• Channel Strategy
• Brand Equity
• +7 more

Kusum L. Ailawadi is the Charles Jordan 1911 TU'12 Professor of Marketing at the Tuck School of Business at Dartmouth College. She has established herself as a leading expert in marketing channel strategy, brand equity, and multi-channel distribution systems. Her research examines the strategic interaction and distribution of power between manufacturers and their distribution channel partners, with particular focus on how store brands, promotions, and brand equity affect performance. Education: PhD, University of Virginia, 1991 MBA, Indian Institute of Management, 1984 BSc (Honors), St. Stephen's College, Delhi University, 1982 Professor Ailawadi's research spans two primary streams: the first focuses on manufacturer-retailer relationships and channel strategy, examining how power dynamics affect brand performance; the second investigates how marketing actions influence consumers' health status and the nutritional quality of grocery shopping. She has pioneered research showing how warehouse club shopping affects consumer behavior, revealing that club store shoppers spend more, shop more frequently, and consume more calories than non-club shoppers. Her work on multi-channel distribution has been synthesized in her influential 2020 book Getting Multi-Channel Distribution Right , which provides practical guidance for managing brands across physical and digital channels. Her extensive publication record in top marketing journals like Journal of Marketing , Journal of Marketing Research , and Marketing Science demonstrates consistent scholarly impact. Analysis of her recent work shows a strong focus on the evolving retail landscape, with particular attention to private label brands, multi-channel strategies, and the behavioral economics of consumer shopping patterns. Her research increasingly bridges marketing theory with practical applications in retail strategy and consumer health. Notable Awards: Winner, Paul H. Root Award for Significant Contribution to the Advancement of the Practice of Marketing (2018) Distinguished Alumni Award, Indian Institute of Management Bangalore (2020) Winner, John D.C. Little Best Paper Award, Marketing Science (2005) Winner, First William Davidson Award for Best Contribution to Theory and Practice in Retail Marketing (1997) Multiple finalist positions for Paul E. Green Award across various years Professor Ailawadi serves as president of the INFORMS Society for Marketing Science and has held editorial positions at major marketing journals including Journal of Marketing , Journal of Marketing Research , and Marketing Science . She teaches the highly regarded MBA elective on Multi-Channel Routes to Market and has consulted with companies across consumer goods, retailing, consulting, and financial services sectors. Her expertise has also been sought in legal cases related to distribution, brand equity, and promotions, where she has served as both consulting and testifying expert. Her research has been widely covered in media outlets including Harvard Business Review , Wall Street Journal , Forbes , and Advertising Age , demonstrating the practical relevance of her academic work. Her TEDx talk 'Outsmarting the Marketers' further illustrates her ability to translate complex marketing concepts for broader audiences.

Hanna HalaburdaView profile

Associate Professor

• Blockchain
• Cryptocurrencies
• Digital Currencies
• +12 more

Hanna Halaburda is an Associate Professor of Technology, Operations, and Statistics at the Leonard N. Stern School of Business, New York University, where she joined in 2019. Her research lies at the intersection of economics, technology, and digital platforms, with a strong focus on blockchain, cryptocurrencies, and platform competition. She has published extensively in top academic journals and co-authored the seminal book Beyond Bitcoin: The Economics of Digital Currencies . PhD in Economics, Northwestern University MA in Economics, Warsaw School of Economics MA in Philosophy, Warsaw University Her research interests center on the economic implications of digital transformation. She investigates how blockchain technology reshapes trust, governance, and competition in digital markets. Her work explores token design, consensus mechanisms, smart contracts, and the strategic use of decentralization in platforms. She also studies platform competition under network effects, consumer choice, and omnichannel marketing. A recurring theme is how digital technologies alter traditional economic forces and business models. The most recent articles show a strong trend toward analyzing the governance, security, and economic design of blockchain systems. Her work combines rigorous theoretical modeling with empirical insights, often applying game theory and industrial organization frameworks. Topics include permissioned vs. permissionless blockchains, the role of cryptographic tokens in coordination, and the macroeconomic implications of digital currencies. She also contributes to debates on Web3, AI, and the future of digital platforms. Scientific awards and recognitions include: ISR Best Paper Published in 2022 Runner-Up Lead article in RAND Journal of Economics Best Paper Award at Tokenomics 2023 Best Paper Award at WISE 2023 Best Paper Finalist at WISE 2022 and WISE 2021 Hanna Halaburda has advised and collaborated with numerous researchers and institutions. Her co-authors include leading scholars from Harvard, NYU, and international universities. She has received research recognition through best paper awards and invitations to contribute to high-impact journals and policy discussions. Her work has been supported by academic and policy institutions, including the Bank of Canada, where she previously served as a senior economist. She frequently publishes in both academic and practitioner outlets, including Harvard Business Review and Nature Human Behavior , indicating strong translational impact. She is actively involved in research teams focused on digital assets, blockchain governance, and platform economics. While no formal lab is mentioned, her extensive list of working papers and collaborations suggests leadership in a dynamic research group at NYU Stern. Her recent work on DAOs, public crypto mining firms, and CBDCs indicates ongoing, forward-looking research programs with real-world policy and business implications.

Elisa B SchweigerView profile

Senior Lecturer

• Retailing
• Marketing Analytics
• AI in Retail
• +5 more

Elisa B Schweiger is a Senior Lecturer (equivalent to Associate Professor) in Marketing at King’s Business School, King’s College London. She specializes in retailing, AI applications in marketing, multi-sensory marketing, and pricing strategies. Her research employs behavioral experiments, field studies, and text mining. Education: PhD in Consumer Psychology from the University of Bath. She also holds a background in psychology and marketing. Research Interests: Elisa’s work focuses on retail innovation, AI-driven consumer interactions, luxury branding, and the psychological underpinnings of consumer decisions. She explores how technology (e.g., voice assistants, mixed reality) impacts customer journeys and brand relationships. Her research bridges theory and practice, addressing topics like AI ethics, retail atmospherics, and consumer risk perceptions in energy technologies. Publications: Her work appears in top journals such as the Journal of the Academy of Marketing Science , Journal of Retailing , and Journal of Business Research . Recent topics include voice assistant evaluations, AI in lateral markets, and digital retailing trends. Awards: Recipient of the Dean’s Award for Early Career Researcher of the Year (2022), Journal of Retailing Davidson Best Paper Award Runner-up, and MMA Teaching Excellence Award. Teaching & Engagement: Teaches Marketing Analytics, Retailing, and research methods in graduate and executive programs. She serves on the editorial boards of Journal of Retailing and Journal of Business Research , and reviews for top marketing journals. Labs/Teams: Active in King’s Business School’s marketing research teams, focusing on innovation in retail and AI applications.

M. Tolga AkçuraView profile

Professor

• Marketing Strategy
• Brand Valuation
• Consumer Behavior
• +7 more

Professor Tolga Akçura is a distinguished faculty member at Özyeğin University's Faculty of Business, Department of Business Administration. With over 25 years of academic experience, he has developed and taught courses on marketing strategy, marketing analytics, and marketing research at prestigious institutions including Carnegie Mellon University, Purdue University, and Long Island University. At Özyeğin University, he teaches Marketing Strategy, Integrated Marketing Communication Strategies, Innovation, Business Model Development, and Advanced Topics in Marketing for undergraduate, graduate, and executive students. Professor Akçura holds a B.Sc. in Industrial Engineering from Boğaziçi University (1990), an MA in Business Administration from Boğaziçi University (1996), an MBA from Carnegie Mellon University (1998), and a Ph.D. in Quantitative Marketing from Carnegie Mellon University (2000). Before joining academia, he worked for Procter & Gamble across multiple European locations including Brussels, London, Manchester, and Istanbul. His research focuses on the intersection of Information Technology and Marketing, Brand Valuation, Consumer Learning Behavior, Structural Choice Models, Brand Equity dynamics, and Competitive Pricing Strategies. Professor Akçura has made significant contributions to marketing science through his extensive publication record in top-tier journals. His recent scholarly work demonstrates a strong trend toward digital marketing, AI applications in marketing analytics, healthcare marketing, and the strategic implications of data-driven decision making. His publications span from foundational work on brand equity to cutting-edge research on patient-generated health data and deep learning applications in campaign participation prediction. William W. Cooper Award (awarded twice for publications in Management Science and Marketing Science) Professor Akçura has successfully bridged academic research with practical business applications through his role as founder of eBrandValue A.Ş. and as a Y-Combinator alum (YCW15). He is an active member of professional organizations including the Institute for Operations Research and Management Science, American Marketing Association, and Direct Marketing Institute. His industry experience complements his academic work, providing students with valuable real-world insights into marketing strategy and implementation.

• Quantitative Modeling
• Machine Learning
• Big Data Analytics
• +6 more

Associate Professor Steven Lu is a faculty member at the University of Sydney Business School, serving as Deputy Head of Discipline (Education). He holds a PhD in Marketing from the University of Toronto, an MA in Economics from York University, and a BA from Nankai University. His research focuses on quantitative modeling, machine learning, and big data analytics applied to digital economy challenges such as digital retailing, search advertising, and blockchain. He co-directs the Consumer Insights Research Group and is affiliated with the Sydney Institute of Agriculture. Dr. Lu has published in top journals including Marketing Science , Production and Operations Management , and Journal of Retailing . His awards include the CNS Vithala Rao Award, ANZMAC Best Paper Awards (2022-2024), and the 2021 Vice Chancellor's Teaching Award. He teaches courses on machine learning in marketing, marketing research, and new product development. He leads research grants such as 'The Era of Mobile Payment' (2021) and 'Digital Transformation of Food Sensory Quality' (2017). His advising focuses on topics like neural recommender systems, e-coupon effectiveness, and heterogeneous treatment effects analysis.

肖勇波View profile

Professor

• Revenue Management
• Pricing Management
• Operations Management
• +5 more

Professor Yongbo Xiao serves at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. His academic journey includes a BEng in Management Information Systems (2000), Master/PhD in Management Science and Engineering (2006), and postdoctoral research in applied economics at Tsinghua University. 2000: BEng in Management Information Systems 2006: Master/PhD in Management Science and Engineering 2006-2008: Postdoctoral Fellow in Applied Economics His research spans revenue management, pricing strategies, operations/supply chain management, and service systems. Recent work explores live-streaming e-commerce dynamics, supply chain resilience, and platform co-opetition models. Articles appear in top journals including Operations Research , Production and Operations Management , and Naval Research Logistics . Notable awards include National Natural Science Foundation Outstanding Young Scholars Fund, Changjiang Scholar Young Scholars recognition, and multiple Tsinghua University teaching/research honors. He serves as Associate Editor-in-Chief for Naval Research Logistics and Executive Editor for Journal of Systems Science and Systems Engineering . 2024: China Aviation Association Second Prize 2023: Huawei Collaborative Innovation Award 2022-2024: Tsinghua EMBA/Executive Education Teaching Excellence Professor Xiao teaches undergraduate Operations Research, Master's-level Operations Research & Optimization, and MBA courses including Data Models & Decisions, Operations Management, and ESG Frontier Exploration. His work bridges theoretical operations research with practical applications in digital commerce and supply chain innovation.

• Customer Value
• Service Science
• Retailing
• +4 more

Timo Rintamäki is an Associate Professor at the Faculty of Management and Business , Tampere University . His research focuses on customer value creation, service ecosystems, and retail innovation, with particular expertise in co-creation, sharing economy platforms, and digital transformation. Research Themes : Customer Value Propositions, Service Ecosystems, E-Commerce, Co-Creation, Retail Experience Design Key Sectors : Retail, Healthcare, Social Media, Public Services Timo’s recent work explores sustainable value creation through collaborative platforms, analyzing customer behavior in online return processes, and optimizing value orchestration in multi-channel environments. His studies span both academic and practical perspectives, including policy implications in healthcare and innovation in consumer cooperatives. His scholarly contributions include frameworks for service experience management, insights into customer data utilization, and models for value co-creation across digital and physical touchpoints. While no specific scientific awards are listed, his interdisciplinary research bridges service science, marketing, and organizational behavior.

• Supply Chain Management
• Operations Management
• Revenue Management
• +6 more

Prasenjit Mandal is an Associate Professor in the Department of Information Systems, Supply Chain Management, and Decision Support at NEOMA Business School (France). He holds a PhD in Decision Sciences and Information Systems from the Indian Institute of Management (IIM) Bangalore. Previously, he served as an Assistant Professor of Operations Management at IIM Calcutta and worked as an Oracle ERP consultant at Tata Consultancy Services. His research focuses on supply chain finance, revenue optimization, multi-channel retail strategies, and strategic decision-making in supply chains. He has published in top journals like European Journal of Operational Research and IEEE Transactions on Engineering Management. He currently serves as a reviewer for multiple academic journals. Education: PhD in Decision Science and Information Systems, IIM Bangalore, India Oracle ERP Techno-Functional Certification Research Interests: Revenue Management in Retail & E-commerce Supply Chain Finance & Platform Financing Multi-channel Distribution Strategies Empirical Modeling of Supply Chain Trade-offs Strategic Decision-Making under Competition Key Contributions: His recent work explores platform financing models, strategic supplier financing choices, and omnichannel retail challenges. His research integrates optimization models with real-world operational scenarios to address supply chain complexities. Professional Experience: Current: Associate Professor, NEOMA Business School 2016-2019: Assistant Professor, IIM Calcutta 2012-2015: Oracle ERP Consultant, Tata Consultancy Services

• Marketing
• E-commerce
• Consumer Behavior
• +4 more

Prof. Tammo H.A. Bijmolt is a Full Professor of Marketing Research and Chairman of the Department of Marketing at the University of Groningen's Faculty of Economics and Business. He holds additional roles such as Director of the Groningen Digital Business Center and former Director of the SOM Research Institute. His expertise spans consumer decision making, e-commerce, advertising, retailing, loyalty programs, and meta-analysis. Education: PhD in Marketing (cum laude, 1996) and MSc in Quantitative Business Economics (cum laude, 1991), both from the University of Groningen. Research focuses on marketing methodology, consumer behavior in digital contexts, and loyalty programs. Notable awards include the 2022 Best Paper Award (Journal of Interactive Marketing) and the 2017 Emerald Literati Award. Advising over 20 PhD students and overseeing grants such as NPG funding for digitalization projects. Active in leadership roles with EMAC and EIASM, and consulting with firms like DVJ Insights and Unilever. Labs/Teams: Leads the Groningen Digital Business Center and collaborates with the SOM Research Institute.

Sami KajaloView profile

Senior Lecturer

• Corporate Social Responsibility
• Brand Loyalty
• Marketing Strategy
• +4 more

Sami Kajalo is a Senior University Lecturer at the Department of Marketing, Aalto University School of Business, and an Adjunct Professor of Marketing at the University of Helsinki. His research focuses on corporate social responsibility (CSR), brand loyalty, marketing strategy, retailing, and digital marketing, with a methodological emphasis on structural equation modeling (SEM). He has contributed over 117 publications, including works on consumer motivations in collaborative consumption, the strategic role of market orientation, and the impact of ethical leadership in retail environments. Kajalo teaches at both Aalto University’s Business School and its Executive Education DBA program. His academic journey includes a doctoral degree from the Helsinki School of Economics (2002), a licentiate (1993), and a master’s degree (1990) in Business and Economics. Research Interests: Kajalo’s work explores the intersection of psychological traits and CSR perceptions, particularly how these influence brand loyalty. He investigates arts marketing, digital transformation in retail, and the integration of CSR into strategic frameworks. His research methodologies prioritize empirical analysis to advance theoretical contributions in marketing disciplines. Article Trends: Recent publications highlight themes such as ethical dimensions in online retailing, market orientation as a competitive tool, and consumer behavior in sharing economies. His work often bridges theoretical frameworks with practical implications for retail strategy and organizational performance. Academic Engagement: Kajalo has collaborated internationally, including visiting researcher roles at Hokkaido University and hosting academic visitors. His expertise contributes to sustainable development goals related to responsible consumption and production (SDG 12) and quality education (SDG 4).

Shiqing (Frank) YaoView profile

Senior Lecturer

• Supply Chain Management
• Operations Management
• Responsible Operations
• +5 more

Shiqing (Frank) Yao is a Senior Lecturer in Operations Management at the Department of Management, College of Business, Monash University. Holding a PhD in Decision Sciences and Managerial Economics from the Chinese University of Hong Kong, Dr. Yao's research focuses on analytical modeling approaches to supply chain management challenges. PhD - Chinese University of Hong Kong (Operations Management) His primary research interests include economic modeling in supply chains, quality management, collusion dynamics, and optimization strategies. Dr. Yao's work aligns with multiple UN Sustainable Development Goals, particularly those related to responsible consumption and production. Recent research outputs demonstrate expertise in anti-counterfeiting strategies, collusion risk mitigation, and sustainable operations. His publications cover topics ranging from digital transformation in retail to responsible audit systems. Scientific Awards: M&SOM Meritorious Service Award (2020) Dr. Yao maintains active editorial roles with leading journals including Operations Research, Management Science, and Transportation Research Part E. He is currently accepting PhD students for supervision.

Bryan BollingerView profile

Professor

• Energy and Environmental Policy
• Sustainability Marketing
• Technology Adoption and Diffusion
• +7 more

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.