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Publications
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Overview
By: Rob Markey
Managing Service Operations - MBA Elective Curriculum
World-class service organizations deeply understand the needs and behaviors of their customers, and design, manage, and improve their operating models accordingly. This course... View Details
Keywords: Customer Lifetime Value; Customer Centric Initiative; Customer Engagement; Service Management; Service Profit Chain; Service Design; Service Models; Service Excellence; Customer Focus and Relationships; Customer Satisfaction; Customer Value and Value Chain; Service Delivery; Service Operations
- Teaching Interest
Overview
Course Requirements
Students are required to prepare a business plan, which employs the framework of this course, to explore an entrepreneurial opportunity in health care, and to evaluate their classmates' plans.
Career Focus
For... View Details
Students are required to prepare a business plan, which employs the framework of this course, to explore an entrepreneurial opportunity in health care, and to evaluate their classmates' plans.
Career Focus
For... View Details
- Research Summary
Overview
By: Feng Zhu
Professor Zhu’s research focuses on the design of platform business models and its impact on platform performance. Platforms have become central to our economy. A platform is a product or service that enables two or more customer groups to interact. For example,... View Details
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Overview
By: Ting Zhang
Professor Zhang examines how organizations can better develop individuals through advising and mentoring. In particular, she investigates how expanding individuals' direction of learning across social hierarchies and reversing traditional models of learning (e.g.,... View Details
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My academic research centers on uncovering and closing gaps between the theory and reality of tax policy. My main contribution has been to identify and address a mismatch between the goals for taxation typically assumed in theory and the goals the public and... View Details
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In the area of equity valuation, Professor Wang explores how firm fundamentals and valuation models can be used to understand expected return variation, with a focus on valuation-implied cost of capital and its use as a proxy for expected returns. In his study of... View Details
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Overview
By: Rob Markey
Most companies' leaders declare their commitment to delivering value to customers. Many have adopted language such as "customer-centric" or "customer-obsessed." Companies that consistently earn top marks for customer loyalty in their industry deliver total shareholder... View Details
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By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
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Overview
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:
1. How to build... View Details
1. How to build... View Details
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Overview
By: Natalia Rigol
My research focuses primarily on how to design, target, and deliver financial products to the poor, and, in particular, how financial inclusion can improve the socio-economic position of women. My projects have analyzed how the design and delivery of microfinance... View Details
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By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details
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By: Jorge Tamayo
Professor Tamayo’s research focuses on theoretical modeling and structural estimation of firm decision-making and productivity.
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
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Overview
By: Eva Ascarza
Professor Ascarza’s research primarily focuses on providing researchers and marketers a better understanding of how to manage customer retention so as to reduce churn and increase firm’s profitability. She addresses these issues by building empirical models of customer... View Details
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Engaged with field work in South Asia and East Africa, Professor Hussam places a focus on exploring questions with strong theoretical motivation in the economics literature as well as relevant downstream policy implications. Her research spans four broad interests.... View Details
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By: Antonio Moreno
One major theme of Professor Moreno’s research has been retail channel integration and so-called “omnichannel retail.” In omnichannel retail, retailers provide their customers with a shopping experience that may involve different channels in a way that aims to be... View Details
Keywords: Omnichannel; Omni-channel; Omnichannel Retail; Omnichannel Retailing; Retail; Customer Value and Value Chain; Information Management; Technological Innovation; Distribution; Distribution Channels; Logistics; Product; Product Design; Service Delivery; Supply Chain; Supply Chain Management; Information Technology; Internet; Online Technology; Technology Adoption; Technology Platform; Retail Industry; Technology Industry; Service Industry; Europe; Spain; Latin America
- Research Summary
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Professor Schwartzstein uses the lens of behavioral economics to build more psychologically accurate assumptions into economic models, and he applies these models to create a more realistic understanding of market outcomes and optimal public policy. View Details
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Professor Friedman devotes his research to the history of the Left and its struggle to end economic and social inequality. He studies how this struggle evolved, its various cultural contexts, and what paths have been tried and rejected. He has been able to gain access... View Details
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Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
- Forthcoming
- Article
Reflexivity in Credit Markets
By: Robin Greenwood, Samuel G. Hanson and Lawrence J. Jin
Reflexivity is the idea that investors' biased beliefs affect market outcomes and that market outcomes in turn affect investors’ future biases. We develop a dynamic behavioral model of the credit cycle featuring this two-way feedback loop. Investors form beliefs about... View Details
- Research Summary
Reinvention and “Frame Flexibility”
Adopting a radical innovation creates pressure for leaders to reframe their mental models while they also sustain their organization's existing capabilities and product category variants. Yet at key junctures in a product class and during technological change, a... View Details