Marketing and Supply Chain Management (MSCM) faculty conduct research to understand, influence, and predict how firms create, communicate, and deliver value to customers, and how consumers perceive, process, choose, consume, and dispose of firms’ products and benefits. Recent faculty research reflects the impact of the growing interactivity of information and product flows enabled by technological advances as well as the challenges and opportunities such developments provide.
The faculty engage in research designed to improve decision-making outcomes of consumers, marketers, or managers of logistics operations. In the realm of consumer decision-making, faculty research uncovers how sensory input and neural activation patterns impact marketplace behavior. Understanding the factors that influence consumer decision-making will lead to strategies that are more successful. Research on sustainability initiatives, consumer welfare, and self-regulatory processes are aimed at improving customers’ quality of life and satisfaction. Managerial decision-making research uncovers relationships among market factors that enhance the manager’s understanding of market forces and customer responses and can lead to more effective and efficient marketing and supply chain strategies.
Themes – The Global Impact of Fox School Research
Research is a top priority at the Fox School. Faculty and students across departments regularly make valuable contributions that impact the academic world and the global business community. Learn more about the important work done at Fox by exploring the following research themes.
This theme focuses on understanding, predicting, and influencing the ways in which consumers and managers make decisions. Topics include:
- Consumer financial decision making (annuities and retirement investing)
- Healthcare decision making
- Individual differences in risky choice and economic decision making
- Prosocial behavior
- Retail environments
- Sensory marketing
- Sustainability and CSR initiatives
Research addresses the interface between database management, marketing/business analytics and marketing management.
- Applications for business strategies
- Big data in mobile consumer behavior
- Big data/small data
- Cross-disciplinary approaches to customer value and societal welfare
The Center for Neural Decision Making focuses on studying business challenges using neuroscience and multiple neurophysiological methods. Specific topics for this theme include:
- Consumer financial decision making
- Healthcare preferences and self-positivity bias
- Information overload and self-control
- Measuring advertising effectiveness
- Risky behavior across the life span
Research addresses the impact of technology on marketing management in a digitally enabled marketplace. Specific topics include pricing management, product and innovation management, segmentation, integrated marketing communications and value delivery networks. Faculty also study multi-media integration, database applications for market segmentation, assessment, and digital strategy applications and analytics.
Research addresses the impact of innovation on product management and product development, brand management and innovation management.
Research examines supply chain management and its impact on managerial decision making from a number of perspectives, including:
- Collaborative decision making along the value chain
- Logistics and network design
- Operational, technological and policy-oriented methods for sustainable transportation
- Operations Management and Supply Chain Management
- Transportation and warehousing systems
Institutes & Centers
The Center for Neural Decision Making (CNDM) explores the potential of brain imaging to drive both theory and practice. The Center investigates the neurobiological bases of human behavior, preference formation, and decision making. The CNDM offers training and research opportunities for undergraduate and graduate students, along with scholarships and research assistantships for doctoral students.
The mission of the Global Center for Big Data and Mobile Analytics (GBM) is to continue as an interdisciplinary leader in big data in mobile analytics. The Center is an essential part of a University-wide “Big Data Institute,’ which facilitates research, education, industry practice, and technology transfer in the cross-disciplinary domain of big data, including health sciences, social media, mobile analytics, and high-dimensional statistics, among others.
The Consumer Sensory Innovation Lab provides a medium for cross-disciplinary, collaborative research among professors, graduate students, and corporate managers and practitioners interested in issues related to sensory marketing. The lab members produce highly innovative and insightful research that helps marketers better understand how sights, sounds, smells, haptics, and tastes impact consumers’ moods, attitudes, emotions, cognitions, and decision-making behavior in the marketplace.
Kumar, Naveen, Venugopal, Deepak, Qiu, Liangfei, and Kumar, Subodha. (2018) Detecting Review Manipulation on Online Platforms with Hierarchical Supervised Learning. Journal of Management Information Systems, 35(1), 350-80.
Demirezen, Emre M. M., Subodha Kumar, and Bala Shetty. (2018) Two Is Better Than One: A Dynamic Analysis of Value Co-Creation. Production and Operations Management
Mudambi, Ram, Mudambi, Susan M., Mukherjee, Debmalya, and Scalera, Vittoria G. (2018) Global Connectivity and the Evolution of Industrial Clusters: From Tires to Polymers in Northeast Ohio. Industrial Marketing Management, 61(C), 20-29.
Dubé Jean-Pierre , Luo Xueming , Fang Zheng. (2017) Self-Signaling and Prosocial Behavior: A Cause Marketing Experiment. Marketing Science, 36(2), 161-86.
Li, Chenxi , Luo Xueming , Zhang Cheng , Wang Xiaoyi. (2017) Sunny, Rainy, and Cloudy with a Chance of Mobile Promotion Effectiveness. Marketing Science, 36(5), 762-79.
Luo, Xueming W., Bin Gu, Jie Zhang, and Chee Wei Phang. “Expert Blogs and Consumer Perceptions of Competing Brands.” MIS Quarterly: Management Information Systems 41.2 (2017): pp.371-95.
Andrews Michelle , Luo Xueming ; Fang Zheng ; Ghose Anindya; (2016) Mobile Ad Effectiveness: Hyper-Contextual Targeting with Crowdedness. Marketing Science, 35(2), 218-33.
Bianchi, Mattia, Annalisa Croce, Claudio Dell’Era, C. Anthony Di Benedetto, and Federico Frattini. (2016) Organizing for Inbound Open Innovation: How External Consultants and a Dedicated R&D Unit Influence Product Innovation Performance. Journal of Product Innovation Management, 33(4) 492-510.
Demirezen Emre M. , Kumar Subodha , Sen Arun (2016) Sustainability of Healthcare Information Exchanges: A Game-Theoretic Approach. Information Systems Research, 27(2), 240-58.
Venkatraman, Vinod, Angelika Dimoka, Paul A. Pavlou, Khoi Vo, William Hampton, Bryan Bollinger, Hal E. Hershfield, Masakazu Ishihara, and Russell S. Winer. (2015) Predicting Advertising Success Beyond Traditional Measures: New Insights from Neurophysiological Methods and Market Response Modeling. Journal Of Marketing Research 52(4) 436-52.
Luo, Xueming, Heli Wang, Sascha Raithel, and Qinqin Zheng. (2015) Corporate Social Performance, Analyst Stock Recommendations, and Firm Future Returns. Strategic Management Journal, 36(1) 123-36.
Plassmann, Hilke, Vinod Venkatraman, Scott Huettel, and Carolyn Yoon. (2015) Consumer Neuroscience: Applications, Challenges, and Possible Solutions. Journal of Marketing Research, 52(4), 427-35.
Krishna, A., Morrin, M., and Sayen, E. (2014) Smellizing Cookies and Salivating: A Focus on Olfactory Imagery. Journal of Consumer Research, 41(1), 18-34.
Luo, X., Andrews, M., Song, Y., and Aspara, J. (2014) Group-Buying Deal Popularity. Journal of Marketing, 78(2), 20-33.
Luo, X.++, Kanuri, V., and Andrews, M. (2014) How Does CEO Tenure Matter? The Mediating Role of Firm-Employee and Firm-Customer Relations. Strategic Management Journal, 35, 492-511.
Haakonsson, S., Jensen, P.Ø., and Mudambi, S. (2013) A Co-Evolutionary Perspective on the Drivers of International Sourcing of Pharmaceutical R&D to India. Journal of Economic Geography, 13(4), 677-700.
Luo, X.+, Zhang, J., and Duan, W. (2013) Social Media and Firm Equity Value. Information Systems Research, 24, 146-163.
Luo, X.+, Raithel, S., and Wiles, M. (2013) The Impact of Brand Dispersion on Firm Value. Journal of Marketing Research, 50(3), 399-415.
Dimoka, A. (2012) How to Conduct a functional Magnetic Resonance (fMRI) Study in Social Science Research. MIS Quarterly, 36(3), 811-840.
Dimoka, A., Hong, Y., and Pavlou, P.A. (2012) On Product Uncertainty in Online Markets; Theory and Evidence. MIS Quarterly, 36(2), 395-426.
Dimoka, A., Banker, R.D., Benbasat, I., Davis, F. D., Dennis, A. R., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Pavlou, P., Müller-Putz, G., Riedl, R., vom Brocke, J., and Weber, B. (2012) On the Use of Neurophysiological Tools in IS Research: Developing a Research Agenda for NeuroIS. MIS Quarterly, 36(3), 679-702.
Morrin, M.+, Inman, J., Broniarczyk, S., Nenkov, G., and Reuter, J. (2012) Investing for Retirement: The Moderating Effect of Fund Assortment Size on the 1/n Heuristic. Journal of Marketing Research, 49(4), 537-550.
Dimoka, A. (2011) Brain Mapping of Psychological Processes with Psychometric Scales: An fMRI Method for Social Neuroscience. NeuroImage 54(1), S263-S271.
Dimoka, A., Pavlou, P., and Davis, F. (2011) NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research. Information Systems Research, 22(4), 687-702.
Wilcox, K., Block, L., and Eisenstein, E. (2011) Leave Home Without It? The Effects of Credit Card Debt and Available Credit on Spending. Journal of Marketing Research, 48, 78-90.
Anderson, E., Fong, N.+, Simester, D., and Tucker, C. (2011) How Sales Taxes Affect Consumer and Firm Behavior: The Role of Search on the Internet. Journal of Marketing Research, 47(2), 229-239.
Dimoka, A. (2011) What does the Brain Tell Us about Trust and Distrust? Evidence from a Functional Neuroimaging Study. MIS Quarterly, 34(2), 373-396.
Hutchinson, J., Alba, J., and Eisenstein, E. (2011) Heuristics and Biases in Data-Based Decision Making: Effects of Experience, Training, and Graphical Data Displays. Journal of Marketing Research, 47(4), 627-642.
Krishna, A., Lwin, M., and Morrin, M.+ (2011) Product Scent and Memory. Journal of Consumer Research, 37(1), 57-67.
Luo, X.+, Homburg, C., and Wieseke, J. (2011) Customer Satisfaction, Analyst Stock Recommendations, and Firm Value. Journal of Marketing Research, 47(6), 1041-1058.
Mudambi, S., and Schuff, D. (2011) What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com. MIS Quarterly, 34(1), 185-200.
Murphy, F., and Smeers, Y. (2011) On the Impact of Forward Markets on Investments in Oligopolistic Markets with Reference to Electricity. Operations Research, 58(3), 515-528.