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- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer...
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- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...
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- February 2023
- Supplement
Coats Dyehouse Management
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and...
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- 2022
- Working Paper
Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have “private” information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by...
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- 2022
- Working Paper
The Effect of Employee Lateness and Absenteeism on Store Performance
By: Caleb Kwon and Ananth Raman
We empirically analyze the effects of employee lateness and absenteeism on store performance by examining 25.5 million employee shift timecards covering more than 100,000 employees across more than 500 U.S. retail grocery store locations over a four year time period....
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- Winter 2022
- Article
Determinants of Small Business Reopening Decisions After COVID Restrictions Were Lifted
The COVID-19 pandemic led to dramatic economic disruptions, including government-imposed restrictions that temporarily shuttered millions of American businesses. We use a nation-wide survey of thousands of small business owners to establish three main facts about...
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- February 2022 (Revised September 2022)
- Case
Lilium: Preparing for Takeoff
By: Navid Mojir, Vincent Dessain, Mette Fuglsang Hjortshoej and Emer Moloney
Lilium is a German company focused on developing electric vertical takeoff and landing vehicles (eVTOLs) that can be used to offer air taxi services. The company went public in September 2021 through a special purpose acquisition company (SPAC) deal, raising more than...
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Keywords:
SPACs;
Business Model;
Forecasting and Prediction;
Green Technology;
Capital Markets;
Venture Capital;
Initial Public Offering;
Rural Scope;
Urban Scope;
City;
Disruptive Innovation;
Growth and Development Strategy;
Technological Innovation;
Demand and Consumers;
Market Timing;
Industry Growth;
Infrastructure;
Logistics;
Product Design;
Product Development;
Production;
Service Delivery;
Service Operations;
Strategic Planning;
Partners and Partnerships;
Risk and Uncertainty;
Urban Development;
Sustainable Cities;
Business Strategy;
Competitive Strategy;
Competitive Advantage;
Air Transportation;
Aerospace Industry;
Air Transportation Industry;
Green Technology Industry;
Transportation Industry;
Travel Industry;
Germany;
Munich;
Brazil;
United States;
Florida
- August 2021
- Case
Precision Paint Co.
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case.
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- August 2021
- Supplement
Coats: Supply Chain Challenges
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- August 2021
- Supplement
Coats: Supply Chain Challenges: Spreadsheet Supplement
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- 2021
- Chapter
Digital Transformation and the Salesforce: Observations, Warnings, and Recommendations
Sales is a crucial test for organizational change, including productive use (or not) of new technologies. Changes in selling always have wider organizational implications, because so many other decisions and resource commitments in firms depend upon demand forecasts...
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- May 2021 (Revised July 2021)
- Case
Coats: Supply Chain Challenges
By: Willy C. Shih and Adina Wong
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour...
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- May 2021 (Revised February 2022)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Digital Platforms;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...
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Keywords:
Data;
Data Analytics;
Artificial Intelligence;
AI;
AI Algorithms;
AI Creativity;
Fashion;
Retail;
Retail Analytics;
E-Commerce Strategy;
Platform;
Platforms;
Big Data;
Preference Elicitation;
Preference Prediction;
Predictive Analytics;
App Development;
＂Marketing Analytics＂;
Advertising;
Mobile App;
Mobile Marketing;
Apparel;
Online Advertising;
Referral Rewards;
Referrals;
Female Ceo;
Female Entrepreneur;
Female Protagonist;
Analytics and Data Science;
Analysis;
Creativity;
Marketing Strategy;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Forecasting and Prediction;
Marketing Channels;
Digital Marketing;
Internet and the Web;
Mobile and Wireless Technology;
AI and Machine Learning;
E-commerce;
Digital Platforms;
Fashion Industry;
Retail Industry;
Apparel and Accessories Industry;
Consumer Products Industry;
United States
- October 2020 (Revised March 2021)
- Supplement
Migros Turkey: Scaling Online Operations During COVID-19 (C)
By: Antonio Moreno and Gamze Yucaoglu
The case opens in August 2020 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are navigating Migros through COVID-19 and the unprecedented...
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Keywords:
Business Model;
Strategy;
Digital Platforms;
Information Technology;
Technology Adoption;
Value Creation;
Globalization;
Competition;
Expansion;
Logistics;
Profit;
Resource Allocation;
Diversification;
Corporate Strategy;
Crisis Management;
Health Pandemics;
Strategic Planning;
Food and Beverage Industry;
Turkey
- June 2020 (Revised May 2022)
- Case
Vanguard Retail Operations (A)
By: Willy C. Shih and Antonio Moreno
The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or...
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- June 2020 (Revised August 2020)
- Supplement
Vanguard Retail Operations (B)
By: Willy C. Shih and Antonio Moreno
The first two cases in this series are set in the financial services industry, and explore whether it is better for back-office workers to be generalists who provide the flexibility of being able to handle the complete range of transactions that the company faces or...
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- June 2020 (Revised February 2021)
- Case
Accounting for Leases at American Airlines (A)
By: Jonas Heese, Gerardo Pérez Cavazos and Julia Kelley
In March 2020, as coronavirus reduced demand for air travel, an analyst was forecasting American Airlines’ (American’s) first quarter financial results. To develop a forecast, she needed to familiarize herself with Accounting Standards Update (ASU) 2016-02, “Leases...
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Keywords:
Accounting;
Financial Reporting;
Financial Statements;
Finance;
Governance;
Corporate Accountability;
Corporate Governance;
Governing Rules, Regulations, and Reforms;
Governing and Advisory Boards;
Leasing;
Accounting Industry;
Air Transportation Industry;
North and Central America;
United States
- July 2019
- Case
Four Products: Predicting Diffusion (2019)
By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,...
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