Machinery and Machining - Publications - Faculty & Research - Harvard Business School

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May 2013
Article

From Russia with Love: The Impact of Relocated Firms on Incumbent Survival

By: Oliver Falck, Christina Guenther, Stephan Heblich and William R. Kerr

We identify the impact of local firm concentration on incumbent performance with a quasi-natural experiment. When Germany was divided after World War II, many firms in the machine tool industry fled the Soviet occupied zone to prevent expropriation. We show that the... View Details

Keywords: Geographic Location; Competition; Supply and Industry; Labor; West Germany; Soviet Union

Empire of Cotton

The epic story of the rise and fall of the empire of cotton, its centrality to the world economy, and its making and remaking of global capitalism.

Cotton is so ubiquitous as to be almost invisible, yet understanding its history is key to understanding the... View Details

April 2020
Teaching Note

Tailor Brands: Artificial Intelligence-Driven Branding

Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details

Keywords: Marketing; Brands and Branding; Marketing Strategy; Advertising Industry; Technology Industry; United States; North America

May 2020
Teaching Note

Chem-Ecol

By: Richard S. Ruback, Royce Yudkoff and Ahron Rosenfeld

Dahra Allen acquired Chem-Ecol, a machine oil recycling business, for C$13.3 million in December of 2012. Allen decided to hire a sales director and the case discussion largely focuses on selecting the sales director from her short-list of five candidates. During the... View Details

Keywords: Salesforce Management; Selection and Staffing; Sales; Performance Improvement; Canada

September 2023 (Revised April 2024)
Case

Atomwise: Strategic Opportunities in AI for Pharma

By: Satish Tadikonda

Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details

Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details

Linda A. Hill

Linda A. Hill is the Wallace Brett Donham Professor of Business Administration at the Harvard Business School and Faculty Chair of the Leadership Initiative. Hill is regarded as one of the top experts on leadership and innovation. Hill is... View Details

26 Oct 2020
News

Great promise but potential for peril

July 2023 (Revised October 2024)
Case

Revenue Recognition at Stride Funding: Making Sense of Revenues for a Fintech Startup

By: Paul M. Healy and Jung Koo Kang

The case explores the challenges of revenue recognition and financial reporting for Stride Funding (Stride), a fintech startup that has disrupted the student loan market. Stride leveraged proprietary machine learning and financial models to underwrite alternative... View Details

Keywords: Revenue Recognition; Financial Reporting; Entrepreneurial Finance; Business Startups; Growth and Development Strategy; Governance Compliance; Accrual Accounting; Financial Services Industry; United States

Article

The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand

By: Marco Bertini and Oded Koenigsberg

More and more companies are relying on pricing algorithms to maximize profits. The use of artificial intelligence and machine learning enables real-time price adjustments based on supply and demand, competitors’ activities, delivery schedules, and so forth. But... View Details

Keywords: Algorithmic Pricing; Dynamic Pricing; Price; Change; Information Technology; Brands and Branding; Perception; Consumer Behavior

Find at Harvard

January 2014 (Revised December 2014)
Case

GenapSys: Business Models for the Genome

By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation ＆ Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; United States

May 2024
Teaching Note

AI Wars

By: Andy Wu and Matt Higgins

Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over... View Details

Keywords: AI; Trends; AI and Machine Learning; Public Opinion; Technological Innovation; Competitive Advantage; Technology Industry

March 2024 (Revised June 2024)
Case

Governing OpenAI (A)

By: Lynn S. Paine, Suraj Srinivasan and Will Hurwitz

In late November 2023, OpenAI’s new board of directors took stock of the situation. The company, which sought to develop artificial general intelligence (AGI)—computer systems with capabilities exceeding human abilities—was looking to regain its footing after a chaotic... View Details

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

July 2018 (Revised January 2019)
Teaching Note

MC Tool

By: Richard S. Ruback, Royce Yudkoff and Ahron Rosenfeld

Sean Witty and Jason Premo acquired MC Tool, a machine shop located in South Carolina in 2007 with the intent to transform it into a precision manufacturer. Witty and Premo were able to more than double revenue to $6 million in their first year of managing MC by... View Details

Keywords: Small ＆ Medium-sized Enterprises; Small Business; Production; Transformation; Problems and Challenges; Financial Condition; Business Strategy; Manufacturing Industry; United States

October 1992 (Revised June 2001)
Case

Stermon Mills Incorporated

A paper company is unable to compete on cost as a result of the installation of three very efficient paper machines by competitors. Prices for its products are falling by the day, and the company is making a loss. In the face of such competition, management feels that... View Details

Keywords: Organizational Change and Adaptation; Competition; Production; Pulp and Paper Industry

2024
Article

Learning Under Random Distributional Shifts

By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler

Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details

Keywords: AI and Machine Learning; Refugees; Employment

February 2010 (Revised January 2014)
Case

Tennant Company

By: Toby E. Stuart, Lynda M. Applegate and James Weber

Tennant, a leading producer of floor cleaning equipment, must determine how to create, finance, structure, staff, govern, measure, and manage a new venture for developing a fundamentally new product line. In 2005, Tennant Company had developed an innovative,... View Details

Keywords: Business Startups; Change Management; Corporate Entrepreneurship; Disruptive Innovation; Product Development; Organizational Design; Organizational Structure; Research and Development

Program

Competing in the Age of AI—Virtual

will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; View Details

May 1993 (Revised January 1994)
Case

Cummins Engine Company, The: Starting Up "B" Crankshaft Manufacturing at the San Luis Potosi Plant

By: Robert H. Hayes

Cummins Engine Co. is starting up production of diesel engine crankshafts in its plant in central Mexico. This operation requires much tighter tolerances than any product previously produced at the plant, and the young (recent MBA) manager who is in charge of the... View Details

Keywords: Decision Choices and Conditions; Production; Cross-Cultural and Cross-Border Issues; Emerging Markets; Problems and Challenges; Industrial Products Industry; Mexico; Alabama

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