Publications

September 1986 (Revised February 1990)
Background Note

A Note on Quality: The Views of Deming, Juran, and Crosby

By: David A. Garvin

Describes the three distinct approaches to quality management represented by W. Edwards Deming, Joseph Juran, and Philip B. Crosby. Designed to introduce students to the elements of statistical quality control, structured approaches to quality improvement, and zero... View Details

Keywords: Quality; Performance Improvement; Mathematical Methods

May 1988 (Revised June 2023)
Case

National Cranberry Cooperative, 1996

By: Roy D. Shapiro

Describes the continuous flow process used to process cranberries into juice and/or sauce. Requires student to analyze process flows to determine where the bottlenecks are and to decide how, and whether, to expand capacity. Original version written by J.G. Miller and... View Details

Keywords: Logistics; Performance Capacity; Performance Improvement; Supply Chain; Mathematical Methods; Cost vs Benefits; Production

01 Jun 2001
News

Richard Pechter: Learning New Lessons

national training program geared toward recent college graduates. He was eventually placed as a mathematics teacher at Jersey City, New Jersey’s Liberty High, an ethnically diverse high school for students who have struggled in... View Details

Keywords: Lory Hough; Elementary and Secondary Schools; Educational Services

September–October 2021
Article

Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan

We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among... View Details

Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry

SSRN

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Profile

Kiran Gandhi

don’t plan on working for a bank or for Ideo after school, but I want to apply the design skills I learn to the music industry in the long term. What might people find surprising about you? That I was a math major in college. I guess because people think View Details

Keywords: Entertainment/Media

Fall 2012
Article

How 'Big Data' Is Different

Many people today in the information technology world and in corporate boardrooms are talking about "big data." Many believe that, for companies that get it right, big data will be able to unleash new organizational capabilities and value. But what does the term "big... View Details

Keywords: Big Data; Analytics; Mathematical Methods; Information Management; Information Technology Industry

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2010
Book

The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance

By: Marshall Fisher and Ananth Raman

Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain... View Details

Keywords: Profit; Knowledge Use and Leverage; Logistics; Supply Chain Management; Mathematical Methods; Retail Industry

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October 2000 (Revised April 2001)
Case

Cost of Capital at Ameritrade

By: Mark L. Mitchell and Erik Stafford

Ameritrade Holding Corp. is planning large marketing and technology investments to improve the company's competitive position in deep-discount brokerage by taking advantage of emerging economies of scale. In order to evaluate whether the strategy would generate... View Details

Keywords: Developing Countries and Economies; Asset Pricing; Cash Flow; Cost of Capital; Investment; Marketing; Mathematical Methods; Competition; Information Technology; Internet and the Web; Financial Services Industry

08 Dec 2020
Research & Ideas

Why Companies Hunt for Talent on Digital Platforms, Not in Resume Piles

When it comes to the job hunt, many of us have a traditional view of what it takes to find a new position: A worker searches for available openings, sends in a resume, and waits for an interview. Much of academic research assumes that’s the way people find jobs, too.... View Details

Keywords: by Michael Blanding; Employment

Web

Entrepreneurial Management Awards & Honors - Faculty & Research

Malloy and Andrea Frazzini, “Sell-Side School Ties” (August 2010). Scott Duke Kominers : Winner of the 2010 Frank and Brennie Morgan Prize for Outstanding Research by an Undergraduate Student, given jointly by the American Mathematical... View Details

2013
Book

Keeping Up with the Quants: Your Guide to Understanding and Using Analytics

By: Thomas H. Davenport and Jinho Kim

Managers today need to be able to analyze and make sense of data. They need to be conversant with analytical technology and methods and to make decisions on quantitative analysis. This book offers a variety of practical tools and examples to improve a manager's... View Details

Keywords: Statistics; Business Analytics; Big Data; Analytics and Data Science; Management Practices and Processes; Mathematical Methods; Information Management

Forthcoming
Article

Reputation Burning: Analyzing the Impact of Brand Sponsorship on Social Influencers

By: Mengjie Cheng and Shunyuan Zhang

The growth of the influencer marketing industry warrants an empirical examination of the effect of posting sponsored videos on influencers' reputations. We collected a novel dataset of user-generated YouTube videos created by prominent English-speaking influencers in... View Details

Keywords: Reputation; Mathematical Methods; Marketing Reference Programs; Social Media; Brands and Branding

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October 2001 (Revised October 2017)
Case

Store24 (A): Managing Employee Retention

By: Frances X. Frei and Dennis Campbell

Provides a retailing context in which employee retention strategies are explored through analyzing detailed store-level data. View Details

Keywords: Retention; Management Analysis, Tools, and Techniques; Analytics and Data Science; Strategy; Mathematical Methods; Retail Industry