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- September 2020
- Case
Disrupting Justice at RightNow: Persevere, Pivot or Perish
By: Shikhar Ghosh and Amir Reza Rezvani
The case examines the focus of an early stage company, and how an unexpected external incidence can threaten or void the business model. It encompasses issues such as defining and pivoting a business model, organizational requirements for a pivot, investor relations,... View Details
Keywords: Legal Aspects Of Business; Startup; Teams; Pivot; Financing; Entrepreneurship; Law; Venture Capital; Business Startups; Financing and Loans; Business Model; Organizational Change and Adaptation; Legal Services Industry; Germany
Ghosh, Shikhar, and Amir Reza Rezvani. "Disrupting Justice at RightNow: Persevere, Pivot or Perish." Harvard Business School Case 821-027, September 2020.
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
Keywords: Economics Of AI; Machine Learning; Non-stationarity; Perishability; Value Depreciation; Analytics and Data Science; Value
Valavi, Ehsan, Joel Hestness, Newsha Ardalani, and Marco Iansiti. "Time and the Value of Data." Harvard Business School Working Paper, No. 21-016, August 2020. (Revised November 2021.)
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
- 15 Sep 2020
- Working Paper Summaries
Time and the Value of Data
- 26 Aug 2002
- Research & Ideas
High-Stakes Decision Making: The Lessons of Mount Everest
What went wrong on Mount Everest on May 10, 1996? That day, twenty-three climbers reached the summit. Five climbers, however, did not survive the descent. Two of these, Rob Hall and Scott Fischer, were extremely skilled team leaders with much experience on Everest. As... View Details
Keywords: by Michael A. Roberto
- 11 May 2021
- Working Paper Summaries
Time Dependency, Data Flow, and Competitive Advantage
- August 1976 (Revised April 1995)
- Background Note
The Integration of Mass Production and Mass Distribution
Describes the sudden appearance of the large industrial enterprise in the 1880s. Reviews the three types of mass-production industries in which the new form came: those producing perishable products; those making low-priced semi-perishable products; and makers of... View Details
Chandler, Alfred D., Jr. "The Integration of Mass Production and Mass Distribution." Harvard Business School Background Note 377-031, August 1976. (Revised April 1995.)
- December 2017 (Revised May 2018)
- Case
Amazon Buys Whole Foods
By: José B. Alvarez, David Lane and Joni Coughlin
The June 2017 news that e-commerce giant Amazon was paying $13.7 billion for organic supermarket chain Whole Foods precipitated a broad sell-off in the shares of grocery retailers and suppliers. Behind the precipitous declines lay recognition that Amazon’s bold move... View Details
Keywords: Amazon; Whole Foods; Grocery; Grocery Delivery; Mergers & Acquisitions; Business Models; Food Value Chain; Agribusiness; Mergers and Acquisitions; Operations; Competitive Strategy; E-commerce; Agriculture and Agribusiness Industry; Retail Industry; Web Services Industry; Food and Beverage Industry; United States
Alvarez, José B., David Lane, and Joni Coughlin. "Amazon Buys Whole Foods." Harvard Business School Case 518-056, December 2017. (Revised May 2018.)
- 11 Sep 2008
- News
9/11 victims recalled as names, not numbers
- Article
Selling After the Crisis
Like perishable goods in grocery stores, sales models have a sell-by date. As product standards evolve and new entrants emerge, buyers have more choices and demand more in terms of quality and performance across vendors. Firms that fail to adjust to changing customer... View Details
Cespedes, Frank V. "Selling After the Crisis." Harvard Business Review 99, no. 2 (March–April 2021): 52–57.
- Research Summary
Notes on the Impact of Wealth in Bargaining
Joint work with Chen-Ying Huang, National Taiwan University.
We provide the first investigation of the politically important question of whether wealthy individuals are advantaged or disadvantaged in bargaining. We show that in a simple Nash-Rubinstein style model,... View Details
- January 2021 (Revised October 2021)
- Case
Ken Talbot—Cautionary Tale in Estate Planning
By: Christina R. Wing and Faith Lyons
In 2010, Ken Talbot, a self-made Australian billionaire, was traveling throughout Africa to bring his innovative coal technology to the continent when he perished in a plane crash. His will was originally created years prior when his estate worth was estimated to be AU... View Details
Keywords: Estate Planning; Entrepreneurship; Assets; Agreements and Arrangements; Lawsuits and Litigation; Valuation; Family and Family Relationships; Conflict Management; Australia; Africa
Wing, Christina R., and Faith Lyons. "Ken Talbot—Cautionary Tale in Estate Planning." Harvard Business School Case 621-071, January 2021. (Revised October 2021.)
- 2017
- Working Paper
Cellophane, the New Visuality, and the Creation of Self-Service Food Retailing
By: Ai Hisano
This working paper examines how innovations in transparent packaging, specifically cellophane in the mid-twentieth century United States, helped retailers create full self-service merchandising systems, including selling perishable food. While self-service stores began... View Details
Hisano, Ai. "Cellophane, the New Visuality, and the Creation of Self-Service Food Retailing." Harvard Business School Working Paper, No. 17-106, May 2017.
- 2020
- Working Paper
Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty
By: Pavithra Harsha, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson and Georgia Perakis
Supply uncertainty in produce supply chains presents major challenges to retailers. Supply shortages create frequent disruptions in terms of promised delivery times, quantity and quality delivered. To alleviate these challenges, dual sourcing--a strategy in which... View Details
Keywords: Information Sharing; Yield Uncertainty; Ration Gaming; Blockchain; Supply Chain; Risk and Uncertainty
Harsha, Pavithra, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson, and Georgia Perakis. "Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty." MIT Sloan Research Paper, No. 6172-20, October 2020.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- July–August 2023
- Article
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details
Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods
Ferreira, Kris, and Emily Mower. "Demand Learning and Pricing for Varying Assortments." Manufacturing & Service Operations Management 25, no. 4 (July–August 2023): 1227–1244. (Finalist, Practice-Based Research Competition, MSOM (2021) and Finalist, Revenue Management & Pricing Section Practice Award, INFORMS (2019).)
- 01 May 2025
- HBS Seminar
Dan Iancu, Stanford Graduate School of Business
- 25 Apr 2023
- Op-Ed
How SHEIN and Temu Conquered Fast Fashion—and Forged a New Business Model
follows suit SHEIN’s rise to dominance in global fashion caught the eye of another Chinese data and software specialist firm, Pinduoduo. The company had begun as a platform to sell fresh produce by inviting consumers in China to combine their View Details
- Research Summary
Overview
The overarching goal of my research is to produce works that are influential and informative to both academics and practitioners in the field of operations management. To accomplish this, I collaborate with industry partners who provide knowledge about their field,... View Details