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(5,775)
- Faculty Publications (820)
- March 2023
- Supplement
Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (B)
By: Linda A. Hill and Emily Tedards
In 2018, Ana Owczarzak was appointed to lead Google Ads' new innovation and accelerator team - the Sales Acceleration and Innovation Labs (SAIL). The purpose of SAIL was to offer testing and incubation services for individuals within Google Ads who were developing new... View Details
Keywords: Innovation Leadership; Organizational Culture; Information Technology Industry; Information Technology Industry; Information Technology Industry; United States
Hill, Linda A., and Emily Tedards. "Innovation at Google Ads: The Sales Acceleration and Innovation Labs (SAIL) (B)." Harvard Business School Supplement 423-077, March 2023.
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
By: Shunyuan Zhang, Flora Feng and Kannan Srinivasan
he growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility—if only the... View Details
Zhang, Shunyuan, Flora Feng, and Kannan Srinivasan. "Marketing Through the Machine’s Eyes: Image Analytics and Interpretability." Chap. 8 in Artificial Intelligence in Marketing. 20, edited by Naresh K. Malhotra, K. Sudhir, and Olivier Toubia, 217–238. Review of Marketing Research. Emerald Publishing Limited, 2023.
- March 2023
- Case
Woven Planet - Designing Software for the Car of the Future
By: Gary P. Pisano and Catherine Piner
Founded in 2021, Woven Planet Holdings—a subsidiary of Toyota Motor Corporation—was developing Arene, an automotive software platform consisting of an operating system, development and simulation tools, and a cloud-based service that could store and analyze vehicle... View Details
Keywords: Technology; Automated Driving; Innovation; Organizational Culture; Applications and Software; Safety; Product Launch; Product; Auto Industry; Technology Industry
Pisano, Gary P., and Catherine Piner. "Woven Planet - Designing Software for the Car of the Future." Harvard Business School Case 623-064, March 2023.
- March 2023 (Revised March 2025)
- Case
Accelerating AI Adoption in the U.S. Air Force
By: Maria P. Roche and Alexander Farrow
In August 2022, the Pentagon tasked U.S. Air Force Captain Victor Lopez to launch a new office for AFWERX, an Air Force innovation unit that leveraged commercial developers and military talent to acquire advanced technologies. This task was particularly arduous because... View Details
Keywords: Technological Innovation; Organizational Design; AI and Machine Learning; Adoption; Technology Adoption; United States
Roche, Maria P., and Alexander Farrow. "Accelerating AI Adoption in the U.S. Air Force." Harvard Business School Case 723-429, March 2023. (Revised March 2025.)
- February 2023 (Revised May 2023)
- Case
Accelerating the Accelerator: Raja Al Mazrouei at DIFC Fintech Hive
By: Linda A. Hill, Emily Tedards and Lydia Begag
In January 2023, Raja Al Mazrouei became the Managing Director and Acting CEO of Etihad Credit Insurance (ECI) in Dubai, UAE. In her previous role as the Executive Vice President of the DIFC Fintech Hive, she successfully built and led an accelerator program for... View Details
Keywords: Organizational Change and Adaptation; Organizational Culture; Organizational Design; Organizational Structure; Management; Strategy; Technology Adoption; Information Infrastructure; Financial Management; Financial Strategy; Technological Innovation; Digital Marketing; Digital Strategy; Digital Transformation; Global Strategy; Globalized Markets and Industries; Banks and Banking; Corporate Finance; Leadership; Leadership Development; Leadership Style; Financial Services Industry; Technology Industry; Banking Industry; Middle East; Singapore; London; United Arab Emirates; Dubai
Hill, Linda A., Emily Tedards, and Lydia Begag. "Accelerating the Accelerator: Raja Al Mazrouei at DIFC Fintech Hive." Harvard Business School Case 423-064, February 2023. (Revised May 2023.)
- February 2023
- Supplement
Astyanax Kanakakis at norbloc: A Founder's Experience with the DIFC Fintech Hive
By: Linda A. Hill and Lydia Begag
norbloc was founded in 2016 in Stockholm, Sweden, by Astyanax Kanakakis and his co-founders, Vitalii Demianets and Sam Saatchi. Kanakakis and Demianets got to work to address a key gap in the industry: Know Your Customer (KYC) data sharing. As the first distributed KYC... View Details
Keywords: Organizational Change and Adaptation; Organizational Design; Organizational Culture; Organizational Structure; Organizations; Leadership; Leadership Development; Leadership Style; Collaborative Innovation and Invention; Digital Transformation; Digital Strategy; Digital Platforms; Technology Adoption; Technological Innovation; Corporate Entrepreneurship; Business and Government Relations; Business Startups; Information Technology Industry; Information Technology Industry; Information Technology Industry; Information Technology Industry; Sweden; Europe; Singapore; London; United Arab Emirates; Dubai; Middle East; Athens; Greece
Hill, Linda A., and Lydia Begag. "Astyanax Kanakakis at norbloc: A Founder's Experience with the DIFC Fintech Hive." Harvard Business School Supplement 423-066, February 2023.
- February 2023 (Revised March 2023)
- Case
Hey, Insta & YouTube, Are You Watching TikTok?
In early 2023, the entertainment app TikTok reached close to 1 billion users globally, placing it 4th behind the leading social networks of Facebook, YouTube, and Instagram. Featuring a sophisticated recommendation engine, TikTok mastered the art of keeping users... View Details
Keywords: Social Media; Applications and Software; Business Model; Competition; Organizational Change and Adaptation
Oberholzer-Gee, Felix. "Hey, Insta & YouTube, Are You Watching TikTok?" Harvard Business School Case 723-426, February 2023. (Revised March 2023.)
- February 2023
- Article
Homophily and Acrophily as Drivers of Political Segregation
By: Amit Goldenberg, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin and James J. Gross
Political segregation is an important social problem, increasing polarization and impeding effective governance. Previous work has viewed the central driver of segregation to be political homophily, the tendency to associate with others who have similar views. Here we... View Details
Keywords: Political Affiliation; Extremism; Values and Beliefs; Identity; Groups and Teams; Emotions; Civil Society or Community
Goldenberg, Amit, Joseph M. Abruzzo, Zi Huang, Jonas Schone, David Bailey, Robb Willer, Eran Halperin, and James J. Gross. "Homophily and Acrophily as Drivers of Political Segregation." Nature Human Behaviour 7, no. 2 (February 2023): 219–230.
- 2023
- Working Paper
Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy
By: Shai Benjamin Bernstein, Emanuele Colonnelli, Mitchell Hoffman and Benjamin Iverson
In a randomized control trial (RCT) with U.S. small businesses, we document that a large share of firms are not well-informed about bankruptcy. Many assume that bankruptcy necessarily entails the death of a business and do not know about Chapter 11 bankruptcy, where... View Details
Bernstein, Shai Benjamin, Emanuele Colonnelli, Mitchell Hoffman, and Benjamin Iverson. "Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy." NBER Working Paper Series, No. 30933, February 2023.
- January 2023 (Revised December 2023)
- Case
OhmConnect: Energizing the Future
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
Founded in 2013, OhmConnect was a free consumer web app that alerted customers about peak hours of electricity demand, and paid them to lower their energy use at home during these periods. The company sold the aggregated reductions generated by thousands of households... View Details
Keywords: App Development; Renewable Energy; Electricity Usage; Regulations; VC; Technology; Customer Acquisition Cost (CAC); Scalability; Applications and Software; Growth and Development Strategy; Governing Rules, Regulations, and Reforms; Business Model; Venture Capital; Energy Industry; United States; California; Texas; Europe
Rayport, Jeffrey F., Jennifer Fonstad, and Nicole Tempest Keller. "OhmConnect: Energizing the Future." Harvard Business School Case 823-065, January 2023. (Revised December 2023.)
- January 2023 (Revised January 2024)
- Case
Digital Transformation at Tata Steel
By: Krishna Palepu, Das Narayandas, Radhika Kak and Rachna Tahilyani
T.V. Narendran, CEO of Tata Steel, India’s oldest steel manufacturing firm, had taken concrete business and cultural transformation steps to future-ready the firm since taking over in 2013. He had deleveraged and instilled financial discipline, acquired new businesses,... View Details
Keywords: Digital Transformation; Digital Strategy; Change Management; Growth and Development Strategy; E-commerce; Steel Industry; Asia; India
Palepu, Krishna, Das Narayandas, Radhika Kak, and Rachna Tahilyani. "Digital Transformation at Tata Steel." Harvard Business School Case 323-053, January 2023. (Revised January 2024.)
- January 2023 (Revised August 2023)
- Case
Veeva Systems and the Transformation to a Public Benefit Corporation
By: Ranjay Gulati and Allison M. Ciechanover
Peter Gassner, the co-founder and CEO of Veeva Systems, steered the company through rapid scaling from its launch in 2007 to 2022. Year after year, the company had exceeded expectations, with its market capitalization reaching $50 billion at its peak. By 2022, the... View Details
Keywords: Transformation; Corporate Governance; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Culture; Information Technology Industry; Information Technology Industry; United States; California
Gulati, Ranjay, and Allison M. Ciechanover. "Veeva Systems and the Transformation to a Public Benefit Corporation." Harvard Business School Case 423-045, January 2023. (Revised August 2023.)
- 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; Information Technology Industry; Information Technology Industry; Boston; Israel
Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
- December 2022
- Case
Taylor Farms: Adding Value to Fresh Produce
By: José B. Alvarez, Forest L. Reinhardt, Jenyfeer Martinez Buitrago and Pedro Levindo
In October 2022, Bruce Taylor (HBS MBA, 1981), Chairman and CEO of Taylor Farms, the leading producer of salads and healthy fresh foods in the United States, wondered whether this was the right time for Taylor Farms to venture into the Controlled Environment... View Details
Keywords: Technology Adoption; Cost vs Benefits; Logistics; Environmental Sustainability; Agriculture and Agribusiness Industry
Alvarez, José B., Forest L. Reinhardt, Jenyfeer Martinez Buitrago, and Pedro Levindo. "Taylor Farms: Adding Value to Fresh Produce." Harvard Business School Case 523-041, December 2022.
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- December 2022
- Article
Cost Standard Set Program: Moving Forward to Standardization of Cost Assessment Based on Clinical Condition
By: Anna Paula Beck da Silva Etges, Richard D. Urman, Anne Geubelle, Robert Kaplan and Carisi Anne Polanczyk
This communication announces the International Cost Standard Set Program. Its goal is to establish global standardized frameworks for measuring the costs of treating specific clinical conditions. A scientific committee, including 16 international healthcare cost... View Details
Keywords: Time-Driven Activity-Based Costing; Value-based Health Care; Cost; Health Care and Treatment; Activity Based Costing and Management; Health Industry
da Silva Etges, Anna Paula Beck, Richard D. Urman, Anne Geubelle, Robert Kaplan, and Carisi Anne Polanczyk. "Cost Standard Set Program: Moving Forward to Standardization of Cost Assessment Based on Clinical Condition." Journal of Comparative Effectiveness Research 11, no. 17 (December 2022): 1219–1223.
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022. (R&R Management Science.)
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- November 2022 (Revised March 2024)
- Case
Replika AI: Monetizing a Chatbot
By: Julian De Freitas and Nicole Tempest Keller
In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in... View Details
Keywords: Mental Health; Subscriber Models; TAM; Monetization Strategy; Marketing Strategy; Product Marketing; AI and Machine Learning; Applications and Software; Product Positioning; Health Disorders; Technology Industry
De Freitas, Julian, and Nicole Tempest Keller. "Replika AI: Monetizing a Chatbot." Harvard Business School Case 523-016, November 2022. (Revised March 2024.)
- 2024
- Working Paper
Sharing Models to Interpret Data
By: Joshua Schwartzstein and Adi Sunderam
To understand new data, we share models or interpretations with others. This paper studies such exchanges of models in a community. The key assumption is that people adopt the interpretation in their community that best explains the data, given their prior beliefs. An... View Details
Keywords: Social Learning Theory; Theory; Social Issues; Cognition and Thinking; Social and Collaborative Networks; Attitudes
Schwartzstein, Joshua, and Adi Sunderam. "Sharing Models to Interpret Data." Harvard Business School Working Paper, No. 25-011, August 2024. (Revised August 2024.)