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All HBS Web
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- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on...
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Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
- November–December 2022
- Article
Can AI Really Help You Sell?: It Can, Depending on When and How You Implement It
By: Jim Dickie, Boris Groysberg, Benson P. Shapiro and Barry Trailer
Many salespeople today are struggling; only 57% of them make their annual quotas, surveys show. One problem is that buying processes have evolved faster than selling processes, and buyers today can access a wide range of online resources that let them evaluate products...
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Dickie, Jim, Boris Groysberg, Benson P. Shapiro, and Barry Trailer. "Can AI Really Help You Sell? It Can, Depending on When and How You Implement It." Harvard Business Review (November–December 2022): 120–129.
- 2022
- Article
How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies
By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are...
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Keywords:
Time-use;
Working-from-home;
COVID;
Managers;
Knowledge Workers;
Health Pandemics;
Time Management
Teodorovicz, Thomaz, Raffaella Sadun, Andrew L. Kun, and Orit Shaer. "How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies." Human-Computer Interaction 37, no. 6 (2022): 532–557.
- November 2022
- Article
Opportunity Neglect: An Aversion to Low-probability Gains
By: Emily Prinsloo, Kate Barasz, Leslie K. John and Michael I. Norton
Seven preregistered studies (N = 2,890) conducted in the field, lab, and online document opportunity neglect: a tendency to reject opportunities with low probability of success, even when they come with little or no objective cost (e.g., time, money,...
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Prinsloo, Emily, Kate Barasz, Leslie K. John, and Michael I. Norton. "Opportunity Neglect: An Aversion to Low-probability Gains." Psychological Science 33, no. 11 (November 2022): 1857–1866.
- November–December 2022
- Article
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an...
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Keywords:
Descriptive Analytics;
Big Data;
Synthetic Control;
E-commerce;
Online Retail;
Difference-in-differences;
Martech;
Internet and the Web;
Analytics and Data Science;
Performance;
Marketing;
Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
- October 2022 (Revised November 2023)
- Case
Framebridge (A): Reimagining Custom Framing
By: Rembrand Koning and Alicia Dadlani
In December 2018, Susan Tynan, founder and CEO of Framebridge, a four-year-old venture-backed startup that sold online custom framing, formulated plans for the future. Her vision was to revolutionize the $4 billion industry by making custom framing easy, transparent,...
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Keywords:
Business Startups;
Business Strategy;
Entrepreneurship;
Operations;
Consumer Products Industry;
United States;
District of Columbia;
Kentucky
Koning, Rembrand, and Alicia Dadlani. "Framebridge (A): Reimagining Custom Framing." Harvard Business School Case 723-352, October 2022. (Revised November 2023.)
- September–October 2022
- Article
Should Your Company Sell on Amazon?: Reach Comes at a Price
By: Ayelet Israeli, Leonard A. Schlesinger, Matt Higgins and Sabir Semerkant
Selling on Amazon allows brands to reach millions of consumers—but that exposure comes with costs. They include smaller margins, more competition, the risk of commoditization, and less knowledge about customers.
In this article, the authors present a scorecard to...
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Keywords:
Retail;
Retailing;
Online Business;
Ecommerce;
E-commerce;
E-Commerce Strategy;
Omnichannel Retail;
Omnichannel Retailing;
Amazon;
Amazon.com;
Sales;
Digital Marketing;
Internet and the Web;
Business Model;
Retail Industry;
Consumer Products Industry;
Fashion Industry;
Advertising Industry;
Battery Industry;
Apparel and Accessories Industry;
Beauty and Cosmetics Industry;
Distribution Industry;
Electronics Industry;
Food and Beverage Industry;
United States
Israeli, Ayelet, Leonard A. Schlesinger, Matt Higgins, and Sabir Semerkant. "Should Your Company Sell on Amazon? Reach Comes at a Price." Harvard Business Review 100, no. 5 (September–October 2022): 38–46.
- 2022
- Working Paper
Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces
By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
Most online sales worldwide take place in marketplaces that connect sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of listings for each product, making it difficult for customers to choose between the available options. Online...
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Keywords:
Algorithms;
E-commerce;
Sales;
Digital Marketing;
Internet and the Web;
Customer Satisfaction
Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces." Working Paper, September 2022.
- 2022
- Article
Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response
By: Alexander MacKay and Samuel N. Weinstein
Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate...
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Keywords:
Competition Policy;
Regulation;
Algorithmic Pricing;
Dynamic Pricing;
Economics;
Law And Economics;
Law And Regulation;
Consumer Protection;
Antitrust Law;
Industrial Organization;
Antitrust Issues And Policies;
Technological Change: Choices And Consequences;
Competition;
Policy;
Price;
Governing Rules, Regulations, and Reforms;
Microeconomics;
Duopoly and Oligopoly;
Law
MacKay, Alexander, and Samuel N. Weinstein. "Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response." Washington University Law Review 100, no. 1 (2022): 111–174. (Direct download.)
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- September 2022
- Article
The Limits of Inconspicuous Incentives
By: Leslie K. John, Hayley Blunden, Katherine Milkman, Luca Foschini and Bradford Tuckfield
Managers and policymakers regularly rely on incentives to encourage valued behaviors. While incentives are often successful, there are also notable and surprising examples of their ineffectiveness. Why? We propose a contributing factor may be that they are not...
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John, Leslie K., Hayley Blunden, Katherine Milkman, Luca Foschini, and Bradford Tuckfield. "The Limits of Inconspicuous Incentives." Art. 104180. Organizational Behavior and Human Decision Processes 172 (September 2022).
- August 2022 (Revised October 2023)
- Case
Bajaj Finance: Building an Omnipresent Financial Services Firm
By: Das Narayandas and Rachna Tahilyani
Bajaj Finance, India’s largest consumer finance firm with $20.9 billion of assets across 50.5 million customers, is on a journey to transform itself from a traditional firm that sells loans and other financial products through brick-and-mortar outlets to an omnipresent...
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Keywords:
Financial Institutions;
Transformation;
Financial Instruments;
Customer Satisfaction;
Internet and the Web;
Customer Focus and Relationships;
India
Narayandas, Das, and Rachna Tahilyani. "Bajaj Finance: Building an Omnipresent Financial Services Firm." Harvard Business School Case 523-040, August 2022. (Revised October 2023.)
- August 2022
- Background Note
Retail Media Networks
By: Eva Ascarza, Ayelet Israeli and Celine Chammas
In 2022, retail media was one of the fastest growing segments in digital advertising. A retail media network (RMN) allows a retailer to use its assets for advertising. Retailers set up an advertising business by allowing marketers to buy advertising space across their...
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Keywords:
Advertisers;
Advertising Media;
Media And Broadcasting Industry;
Retail;
Retail Analytics;
Retail Promotion;
Retailing;
Ecommerce;
E-Commerce Strategy;
E-commerce;
Marketing Communication;
Targeting;
Targeted Advertising;
Targeted Marketing;
Advertising;
Marketing;
Marketing Communications;
Marketing Strategy;
Brands and Branding;
Media;
Marketing Channels;
Retail Industry;
Consumer Products Industry;
Advertising Industry;
United States
Ascarza, Eva, Ayelet Israeli, and Celine Chammas. "Retail Media Networks." Harvard Business School Background Note 523-029, August 2022.
- August 2022
- Article
The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices
By: Aaron R. Brough, David A. Norton, Shannon L. Sciarappa and Leslie K. John
Drawing from a content analysis of publicly traded companies’ privacy notices, a survey of managers, a field study, and five online experiments, this research investigates how consumers respond to privacy notices. A privacy notice, by placing legally enforceable limits...
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Keywords:
Choice;
Purchase Intent;
Privacy;
Privacy Notices;
Warnings;
Assurances;
Information Disclosure;
Trust;
Consumer Behavior;
Spending;
Decisions;
Information;
Communication
Brough, Aaron R., David A. Norton, Shannon L. Sciarappa, and Leslie K. John. "The Bulletproof Glass Effect: Unintended Consequences of Privacy Notices." Journal of Marketing Research (JMR) 59, no. 4 (August 2022): 739–754.
- July 2022
- Case
Metaverse Seoul
By: Mitchell Weiss and Samantha Markowitz
In May 2022, the Seoul Metropolitan Government (SMG) launched the pilot of Metaverse Seoul, a government-run metaverse. SMG had delivered a virtual version of Seoul’s mayor’s office. The team aimed to gain insights as they worked towards building a broad, immersive,...
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Keywords:
Metaverse;
Entrepreneurship;
Innovation and Invention;
Digital Platforms;
Internet and the Web;
Government Administration;
Public Administration Industry;
South Korea;
Asia
Weiss, Mitchell, and Samantha Markowitz. "Metaverse Seoul." Harvard Business School Case 823-009, July 2022.
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli
Keywords:
Data Analysis;
Data Analytics;
CPG;
Consumer Packaged Goods (CPG);
Estimation;
Online Channel;
Retail Analytics;
Retail;
Retailing Industry;
Data;
Data Sharing;
Bricks And Mortar;
Ecommerce;
Analytics and Data Science;
Analysis;
Sales;
Goods and Commodities;
Retail Industry;
Consumer Products Industry;
United States
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli
Keywords:
Data;
Data Analysis;
Data Analytics;
Data Sharing;
CPG;
Consumer Packaged Goods (CPG);
Delivery Planning;
Customer Lifetime Value;
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Ecommerce;
Grocery;
Optimization;
Analytics and Data Science;
Analysis;
Customer Value and Value Chain;
Marketing Channels;
E-commerce;
Retail Industry;
Consumer Products Industry;
United States
- July 2022
- Supplement
Solution for E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli
Keywords:
Data;
Data Analysis;
Data Analytics;
Data Sharing;
CPG;
Consumer Packaged Goods (CPG);
Delivery Planning;
Customer Lifetime Value;
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Ecommerce;
Grocery;
Optimization;
Analytics and Data Science;
Analysis;
Customer Value and Value Chain;
Marketing Channels;
E-commerce;
Retail Industry;
Consumer Products Industry;
United States
- July 2022
- Teaching Note
eGrocery and the Role of Data and E-Commerce Analytics for CPG Firms
By: Ayelet Israeli
Teaching Note for HBS Case No. 521-077.
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Keywords:
Data;
Data Analysis;
Data Analytics;
Data Sharing;
CPG;
Consumer Packaged Goods (CPG);
Delivery Planning;
Customer Lifetime Value;
Online Channel;
Retail;
Retail Analytics;
Retailing Industry;
Ecommerce;
Grocery;
Optimization;
Analytics and Data Science;
Analysis;
Customer Value and Value Chain;
Marketing Channels;
E-commerce;
Retail Industry;
Consumer Products Industry;
United States
- July 7, 2022
- Other Article
Are Online Prices Higher Because of Pricing Algorithms?
By: Zach Y. Brown and Alexander J. MacKay
This article reviews recent work examining pricing strategies of major online retailers and the potential effects of pricing algorithms. We describe how pricing algorithms can lead to higher prices in a number of ways, even if some characteristics of these algorithms...
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Keywords:
Pricing Algorithms;
Online Marketplace;
Digital Strategy;
Internet and the Web;
Retail Industry
Brown, Zach Y., and Alexander J. MacKay. "Are Online Prices Higher Because of Pricing Algorithms?" Brookings Series: The Economics and Regulation of Artificial Intelligence and Emerging Technologies (July 7, 2022).