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  • All HBS Web  (107)
    • News  (27)
    • Research  (47)
    • Events  (2)
  • Faculty Publications  (29)

Show Results For

  • All HBS Web  (107)
    • News  (27)
    • Research  (47)
    • Events  (2)
  • Faculty Publications  (29)
Page 1 of 107 Results →
  • August 2017
  • Case

Data-driven Manufacturing: The Kutesmart System

By: Willy Shih and Nancy Hua Dai
The data-driven manufacturing system at this Chinese bespoke mens' suit manufacturer illustrates the use of information technology to support mass customization in a largely manual production environment. It contrasts sharply with some of the Industrie 4.0... View Details
Keywords: Manufacturing; Garment Manufacturing; Mass Customization; Data-driven Management; Data-driven Manufacturing; Operations; Production; Product; Customization and Personalization; Apparel and Accessories Industry; Manufacturing Industry; China
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Shih, Willy, and Nancy Hua Dai. "Data-driven Manufacturing: The Kutesmart System." Harvard Business School Case 618-005, August 2017.
  • December 2017
  • Supplement

Data-Driven Manufacturing: The Kutesmart System

By: Willy C. Shih
This supplementary video shows the Kutesmart System at Redcollar Group. It is an example of a mass customization system that is data-driven, but is predominantly based on manual operations. It is offered as a contrast to highly automated data-driven manufacturing. View Details
Keywords: Data-driven Manufacturing; Clothing; Bespoke Manufacturing; Production; Manufacturing Industry; Apparel and Accessories Industry; China
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Shih, Willy C. "Data-Driven Manufacturing: The Kutesmart System." Harvard Business School Multimedia/Video Supplement 618-702, December 2017.
  • June 2023 (Revised September 2023)
  • Simulation

Managing the Customer Journey Marketing Simulation: Adobe's Data-Driven Operating Model (DDOM)

By: Sunil Gupta, Rajiv Lal and Celine Chammas
Adobe started monitoring Annual Recurring Revenue (ARR), one of its primary metrics, when it shifted from selling its software in a box to selling the software as a subscription-based cloud service. They wanted to know when, where, and how much to invest in marketing.... View Details
Keywords: Customer Acquisition; Customer Journey; Marketing Strategy; Marketing; Customer Focus and Relationships; Budgets and Budgeting
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Gupta, Sunil, Rajiv Lal, and Celine Chammas. "Managing the Customer Journey Marketing Simulation: Adobe's Data-Driven Operating Model (DDOM)." Harvard Business School Simulation 523-714, June 2023. (Revised September 2023.) (Click here to purchase the Simulation.)
  • 01 Sep 2015
  • News

Data-Driven Diligence

Illustration by QuickHoney On the surface, there is seemingly nothing sexy about a startup that sells foam mattresses online. But in January 2014, David Coats (MBA 1992) and Trevor Kienzle (MBA 1991) made a significant seed-round investment anyway after just 12 days.... View Details
Keywords: Francis Storrs
  • Article

Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide

By: Iavor Bojinov and Somit Gupta
In the past decade, online controlled experimentation, or A/B testing, at scale has proved to be a significant driver of business innovation. The practice was first pioneered by the technology sector and, more recently, has been adopted by traditional companies... View Details
Keywords: A/B Testing; Experimentation; Data-driven Culture; Product Development; Innovation and Invention; Digital Transformation
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Bojinov, Iavor, and Somit Gupta. "Online Experimentation: Benefits, Operational and Methodological Challenges, and Scaling Guide." Harvard Data Science Review, no. 4.3 (Summer, 2022).
  • 23 May 2016
  • News

The Biggest Challenges of Data-Driven Manufacturing

  • 24 Jul 2019
  • Blog Post

Data-Driven and in Demand

job, she realized that there was something missing—she knew that she needed more to give her career an edge. “I could sense an increasing appetite for data and data-driven managerial decision-making,” says Ho. “I felt that this was a... View Details
  • April 2023
  • Case

Fizzy Fusion: When Data-Driven Decision Making Failed

By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
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Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
  • 2019
  • Book

Operations in an Omnichannel World

By: Santiago Gallino and Antonio Moreno
The world of retailing has changed dramatically in the past decade. Sales originating at online channels have been steadily increasing, and even for sales transacted at brick-and-mortar channels, a much larger fraction of sales is affected by online channels in... View Details
Keywords: Omnichannel; Omnichannel Retail; Retail; Operations; Management; Supply Chain Management; Business Model; Organizational Change and Adaptation
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Gallino, Santiago, and Antonio Moreno, eds. Operations in an Omnichannel World. Vol. 8, Springer Series in Supply Chain Management. Cham, Switzerland: Springer, 2019.
  • 24 Feb 2022
  • News

Why Becoming a Data-Driven Organization Is So Hard

  • 24 Jun 2019
  • Blog Post

Chloe Ho, MBA 2019: Data-Driven and In Demand

job, she realized that there was something missing—she knew that she needed more to give her career an edge. “I could sense an increasing appetite for data and data-driven managerial decision-making,” says Ho. “I felt that this was a... View Details
Keywords: Technology
  • 2018
  • Working Paper

Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning

By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
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Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
  • Web

Digital Operations - Course Catalog

transformation across industries, focusing on automation, AI, APIs, and data-driven workflows. Students will explore how digital technologies reshape operations, enable real-time decision-making, and drive efficiency. They will recognize... View Details
  • 14 May 2021
  • News

A Data-Driven Approach to Identifying — and Retaining — Top Employees

  • Web

Technology & Operations Management Awards & Honors - Faculty & Research

Technology & Operations Management Overview Faculty Curriculum Seminars & Conferences Awards & Honors Doctoral Students 2025 Himabindu Lakkaraju : Recipient of a 2025 Sloan Research Fellowship in Computer Science. 2024 Ryan W. Buell :... View Details
  • January 2012 (Revised March 2013)
  • Case

Ctrip: Scientifically Managing Travel Services

By: David A. Garvin and Nancy Hua Dai
Ctrip is a $437 million Chinese on-line travel services company with a scientific, data driven approach to management. The case explores Ctrip's founding and early growth, its expansion into multiple market segments including hotel reservations, air ticketing, leisure... View Details
Keywords: Scientific Management; Data-driven Management; Management; Expansion; Business Growth and Maturation; Market Entry and Exit; Mathematical Methods; Business Processes; Information Management; Travel Industry; China
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Garvin, David A., and Nancy Hua Dai. "Ctrip: Scientifically Managing Travel Services." Harvard Business School Case 312-092, January 2012. (Revised March 2013.)
  • 03 Mar 2020
  • News

From Disruption to Collision: The New Competitive Dynamics

  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • 14 May 2018
  • Research & Ideas

Amazon vs. Whole Foods: When Cultures Collide

critics referred to the store as “Whole Paycheck.” The acquisition was initially met positively by Wall Street, amid hopes that Amazon’s data-driven mindset might be just the thing to enable Whole Foods to scale up and add more stores... View Details
Keywords: by Michael Blanding; Food & Beverage
  • February 2022
  • Case

Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic

By: Linda A. Hill and Emily Tedards
As COVID-19 began to take lives, destroy healthcare systems, and shut down economies across the globe, Dr. Rakesh Suri, Chief Executive Officer of Cleveland Clinic Abu Dhabi, and his executive team adapted their leadership to instill the new levels of agility and... View Details
Keywords: Organizational Behavior; Culture; Organizational Culture; Organizational Adaptation; Organizational Effectiveness; Alignment; Leadership; Innovation; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teamwork; Ecosystem; Agility; Partnerships; Data-driven Decision-making; Operating Model; Risk Management; Virtual Work; Team Dynamics; Telemedicine; Metrics; Globalization; Pandemic; COVID-19; Hospital; Healthcare; United Arab Emirates; Middle East; Health Care and Treatment; Health Pandemics; Organizational Change and Adaptation; Crisis Management; Leading Change; Leadership Style; Digital Transformation; United Arab Emirates; Middle East
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Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic." Harvard Business School Case 422-057, February 2022.
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