Publications

July 2023
Case

DayTwo: Going to Market with Gut Microbiome (Abridged)

By: Ayelet Israeli

DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals. After a first year of trial rollout in... View Details

Keywords: Business Startups; AI and Machine Learning; Nutrition; Market Entry and Exit; Product Marketing; Distribution Channels

December 2022 (Revised January 2025)
Case

Akooda: Charging Toward Operational Intelligence

By: Christopher Stanton and Mel Martin

The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details

Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel

June 2022
Article

The Use and Misuse of Patent Data: Issues for Finance and Beyond

By: Josh Lerner and Amit Seru

Patents and citations are powerful tools for understanding innovation increasingly used in financial economics (and management research more broadly). Biases may result, however, from the interactions between the truncation of patents and citations and the changing... View Details

Keywords: Patents; Analytics and Data Science; Corporate Finance; Research

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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... View Details

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

April 2020
Article

CEO Behavior and Firm Performance

By: Oriana Bandiera, Stephen Hansen, Andrea Prat and Raffaella Sadun

We measure the behavior of 1,114 CEOs in six countries parsing granular CEO diary data through an unsupervised machine learning algorithm. The algorithm uncovers two distinct behavioral types: "leaders" and "managers." Leaders focus on multi-function, high-level... View Details

Keywords: CEOs; Management; Behavior; Organizations; Performance; Analysis

17 Oct 2016
News

How to Hire with Algorithms

09 Jun 2016
News

Innovative Business/IT Solutions: An interview with Assistant Professor Kris Ferreira

September 2004 (Revised December 2004)
Case

Metso Paper: Globalization of Finnish Metal Workshops

By: Lynda M. Applegate, Marikka Heikkila and Kalle Lyytinen

Metso Paper, the world's largest producer of paper machines, aims to transform itself into a knowledge- and information-based service and solution provider for the paper industry by aggressively exploiting information technologies. In the fall of 2002, Jorma Hujala, a... View Details

Keywords: Production; Customer Value and Value Chain; Information Technology; Corporate Strategy; Knowledge Management; Machinery and Machining; Expansion; Service Delivery; Manufacturing Industry; Pulp and Paper Industry; Finland

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2022
Book

The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI

By: Paul Leonardi and Tsedal Neeley

The pressure to "be digital" has never been greater, but you can meet the challenge. The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive... View Details

Keywords: Digital; Artificial Intelligence; Big Data; Digital Transformation; Technological Innovation; Transformation; Learning; Competency and Skills

11 Sep 2020
Video

James Mwangi

James Mwangi, CEO of Kenya’s Equity Bank, which has one of the largest customer bases of any bank in Africa, discusses how the Equity Bank model evolved through learning both from Asian companies and from the bank’s own customers. View Details

March 2022
Case

Unilever: Remote Work in Manufacturing

By: Prithwiraj Choudhury and Susie L. Ma

In December 2021, Unilever—one of the world’s largest producers of consumer goods—was in the midst of a pilot project to digitize its manufacturing facilities and enable remote work for factory employees. This was possible because of an earlier project to retrofit a... View Details

Keywords: Change; Globalization; Information Technology; Technology Adoption; Human Resources; Jobs and Positions; Operations; Education; Training; Manufacturing Industry

Article

The Business Case for Curiosity

By: Francesca Gino

Although leaders might say they value inquisitive minds, in reality most stifle curiosity, fearing it will increase risk and inefficiency. Harvard Business School’s Francesca Gino elaborates on the benefits of and common barriers to curiosity in the workplace and... View Details

Keywords: Organizational Culture; Employees; Creativity; Cognition and Thinking; Learning; Decision Making; Performance Effectiveness

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30 May 2000
Research & Ideas

Market Makers Bid for Success

indirect materials, which are primarily downward auctions. Although, there are some market situations where you would use an upward auction just to have people bid on certain kinds of pricing. Basically, we've evolved our business model... View Details

Keywords: by Staff; Web Services; Technology

Article

Incorporating Interpretable Output Constraints in Bayesian Neural Networks

By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez

Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details