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- March–April 2025
- Article
Getting Value from Digital Technologies
By: Frank Cespedes and Georg Krentzel
Companies need digital technologies in an omni-channel buying world where online and in-person interactions are complements, not either/or substitutes. Multi-channel hybrid sales solutions are required, but what are the key requirements for using the available... View Details
- February 2025
- Supplement
Slice Labs: Creating a Fraud-free Online Insurance Platform (B)
By: Amit Goldenberg, Max Bazerman and Ruth Page
- January 2025
- Case
Apax Partners: Deciding Whether to Bid for Trader Corp.
By: Benjamin C. Esty and Edward A. Meyer
Apax Partners’ investment committee was schedule to meet on March 21, 2011, to decide whether to invest in Trader Corporation, a Canadian classified advertising business for used automobiles with both print (magazines) and digital (website) distribution. What made this... View Details
Keywords: Value Creation; Network Effects; Private Equity; Growth Management; Digital Marketing; Business Strategy; Competitive Advantage; E-commerce; Valuation; Competition; Digital Platforms; Digital Strategy; Digital Transformation; Transition; Advertising Industry; Auto Industry; Information Industry; Canada; United Kingdom; New York (state, US); New York (city, NY)
- January–February 2025
- Article
Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing
By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
- November 2024 (Revised January 2025)
- Case
MiDAS: Automating Unemployment Benefits
By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Information Technology; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
- November–December 2024
- Article
Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing
By: Kirk Bansak and Elisabeth Paulson
This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details
- October 2024
- Case
Reed Group and Succession in a Family Business: An Impossible Job to Fill?
By: Lauren H. Cohen and Tonia Labruyere
James Reed had taken over Reed Group, the recruitment and career services company his father had founded and built, in 1994. He was now reflecting on succession planning and other challenges that lay ahead: with no obvious choice among his family members, he needed to... View Details
- July–August 2024
- Article
Navigating the Future of Online Advertising with WEB3
By: Frank V. Cespedes and Ben Plomion
or years, digital ad spend was a steadily growing portion of marketing budgets. But online advertising faces challenges that mean a transformative shift in digital marketing. Meanwhile, so-called “Web3” has emerged as a medium that can change ad spend and how personal... View Details
- July 2024
- Case
Freelancer, Ltd.
By: Christopher Stanton, Karim R. Lakhani, Jin Hyun Paik and Nina Cohodes
Over the course of the 2010s, the rapid advancement of mobile technologies and the rise of online freelancing platforms seemed to portend a radical transformation of labor markets into on-demand, flexible talent pools. Even though several Fortune 500... View Details
- 2024
- Working Paper
Digital Platforms 2.0: Learnings, Opportunities, and Challenges
By: Shrabastee Banerjee, Ishita Chakraborty, Hana Choi, Hannes Datta, Remi Daviet, Chiara Farronato, Minkyung Kim, Anja Lambrecht, Puneet Manchanda, Aniko Oery, Ananya Sen, Marshall W Van Alstyne, Prasad Vana, Kenneth C Wilbur, Xu Zhang and Bobby Zhou
Platform-based digital ecosystems form the backbone of our interactions with the Internet. Over the past decade, digital ecosystems have witnessed significant growth, both in terms of industry footprint and academic research. Yet, the challenges associated with their... View Details
- 2024
- Working Paper
Learning to Cover: Online Learning and Optimization with Irreversible Decisions
By: Alexander Jacquillat and Michael Lingzhi Li
- 2024
- Working Paper
Webmunk: A New Tool for Studying Online Behavior and Digital Platforms
By: Chiara Farronato, Andrey Fradkin and Chris Karr
Understanding the behavior of users online is important for researchers, policymakers, and private companies alike. But observing online behavior and conducting experiments is difficult without direct access to the user base and software of technology companies. We... View Details
- June 2024 (Revised March 2025)
- Case
Wemade: (Re)Establishing Trust in Blockchain Games (A)
By: Jung Koo Kang, Charles C.Y. Wang, David Allen and Kwangmoon So
This case explores the fundamental challenges and accounting issues arising from the integration of blockchain technology into traditional business models. It features Wemade, a South Korean online gaming company that has staked its future on blockchain-based games.... View Details
Keywords: Blockchain; Cryptocurrency; Video Games; Accounting; Financial Reporting; Revenue Recognition; Games, Gaming, and Gambling; Corporate Disclosure; Information Technology; Technology Adoption; Information Technology Industry; Information Technology Industry; Information Technology Industry; South Korea
- May 2024 (Revised February 2025)
- Case
Lowe's: Improving the Total Home Strategy
By: Elie Ofek, K. Shelette Stewart and Alicia Dadlani
In 2023, Marvin Ellison, CEO of Lowe’s, contemplated enhancements to the company’s Total Home Strategy to accelerate performance and grow market share. In the last five years since becoming CEO, Ellison had championed a turnaround of the company, completing a... View Details
- April 2024 (Revised July 2024)
- Case
Unleashing Human Magic at Best Buy
By: Leonard A. Schlesinger, Sunil Gupta and Amram Migdal
The case examines the transformation of Best Buy under CEO Hubert Joly's leadership from 2012. Facing significant business challenges, including competition from online and physical retailers, Joly implemented the "Renew Blue" turnaround strategy, which focused on... View Details
Keywords: Change Management; Transformation; Transition; Communication Intention and Meaning; Communication Strategy; Customer Focus and Relationships; Health Care and Treatment; Digital Transformation; Digital Strategy; Job Cuts and Outsourcing; Labor; Leadership Development; Leadership Style; Leading Change; Management Practices and Processes; Management Style; Business or Company Management; Crisis Management; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Failure; Success; Personal Development and Career; Strategic Planning; Adaptation; Competition; Alignment; Business Strategy; Retail Industry; Minneapolis; Minnesota; United States
- March 2024
- Teaching Note
Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions
By: John A. Deighton and Leora Kornfeld
Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that... View Details
- 2024
- Working Paper
The Cram Method for Efficient Simultaneous Learning and Evaluation
By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
Keywords: AI and Machine Learning
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
- 2021
- Working Paper
Quantifying the Value of Iterative Experimentation
By: Iavor I Bojinov and Jialiang Mao
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was... View Details