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Show Results For
- All HBS Web
(883)
- News (228)
- Research (407)
- Events (2)
- Multimedia (2)
- Faculty Publications (117)
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- 2022
- Working Paper
Where the Cloud Rests: The Location Strategies of Data Centers
By: Shane Greenstein and Tommy Pan Fang
This study provides an analysis of the entry strategies of third-party data centers in the United States. We examine the market before the pandemic in 2018 and 2019, when supply and demand for data services were geographically stable. We compare with the entry... View Details
Greenstein, Shane, and Tommy Pan Fang. "Where the Cloud Rests: The Location Strategies of Data Centers." Harvard Business School Working Paper, No. 21-042, September 2020. (Revised June 2022.)
- 2017
- Case
DigiPlex: Future-Ready Data Centers
By: Y. Grushka-Cockayne and Y. Yemen
Grushka-Cockayne, Y., and Y. Yemen. "DigiPlex: Future-Ready Data Centers." University of Virginia, Darden School of Business Case UVA-QA-0880, 2017.
- July 1987
- Case
Frito-Lay, Inc.: The New Data Center
Cash, James I., Jr. "Frito-Lay, Inc.: The New Data Center." Harvard Business School Case 188-018, July 1987.
- May 2009 (Revised October 2009)
- Case
Verne Global: Building a Green Data Center in Iceland
Verne Global, a pioneering startup created to build the first large-scale data center in Iceland, faces critical challenges regarding its green strategy. Verne Co-Founder Isaac Kato is tasked with evaluating how the company can most successfully market and sell the... View Details
Keywords: Buildings and Facilities; Business Startups; Marketing Strategy; Product Marketing; Sales; Environmental Sustainability; Pollutants; Green Technology Industry; Service Industry; Iceland
Steenburgh, Thomas J., and Nnamdi Daniel Okike. "Verne Global: Building a Green Data Center in Iceland." Harvard Business School Case 509-063, May 2009. (Revised October 2009.)
- 09 Oct 2020
- Working Paper Summaries
Where the Cloud Rests: The Economic Geography of Data Centers
Keywords: by Shane Greenstein and Tommy Pan Fang
- October 2021 (Revised September 2022)
- Case
SmartOne: Building an AI Data Business
By: Karim R. Lakhani, Pippa Armerding, Gamze Yucaoglu and Fares Khrais
The case opens in August 2021, as Habib and Shahysta Hassim, husband and wife co-founders of the data labeling company SmartOne, contemplate the strategy of the high growth company. Between 2016 and 2021, SmartOne had kept doubling its size every two years and now,... View Details
Keywords: Artificial Intelligence; Data Labeling; Entrepreneurship; Strategy; Operations; Business Model; Growth Management; Growth and Development Strategy; AI and Machine Learning; Africa; Madagascar; Europe; France; United States
Lakhani, Karim R., Pippa Armerding, Gamze Yucaoglu, and Fares Khrais. "SmartOne: Building an AI Data Business." Harvard Business School Case 622-059, October 2021. (Revised September 2022.)
- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition; Digital Platforms
Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
- September 2017 (Revised March 2018)
- Case
Great Lakes Banking Group: Data Management
By: Shane Greenstein and Christine Snively
In May 2016, Michael Rechtin, an expert in international data center law, advised global financial services firm Great Lakes Banking Group (GLBG) on its plans to upgrade its data centers. The bank’s data processing and storage systems were in need of an update, and... View Details
Greenstein, Shane, and Christine Snively. "Great Lakes Banking Group: Data Management." Harvard Business School Case 618-021, September 2017. (Revised March 2018.)
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 2010
- Working Paper
Do Call Centers Promote Education? Evidence from India
By: Emily Fair Oster and Mary Bryce Millett
Over the last two decades in India there have been large increases in outsourced jobs and large increases in schooling rates, particularly in English. Existing evidence suggests the trends are broadly related. In this paper we explore how localized these impacts are;... View Details
- June 2020
- Case
Agile Consumer Product Innovation with Alibaba's Tmall Innovation Center
By: William R. Kerr, Daniel O'Connor and James Palano
Consumer products companies were beset by changes on all sides during the 2010s. Customers were increasingly turning to ecommerce platforms rather than shopping in-store. Meanwhile, nimble, digitally-savvy competitors were gaining market share by capitalizing on the... View Details
Keywords: Future Of Work; Retail; Ecommerce; Alibaba; Consumer Products; Innovation; Innovation and Invention; Product Development; Consumer Behavior; E-commerce; Consumer Products Industry; Retail Industry; China
Kerr, William R., Daniel O'Connor, and James Palano. "Agile Consumer Product Innovation with Alibaba's Tmall Innovation Center." Harvard Business School Case 820-087, June 2020.
- December 2020 (Revised April 2021)
- Case
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein, Mel Martin and Sarkis Agaian
After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
- 23 Jul 2001
- Research & Ideas
How One Center of Innovation Lost its Spark
How do once-thriving centers of innovation slow down, falter, and in some cases all but grind to a halt? That's a question that fascinates HBS professor Donald N. Sull. In a new working paper describing his in-depth research, Sull focused... View Details
- 28 Jun 2010
- HBS Case
Cincinnati Children’s Hospital Medical Center
considered itself to be among the best hospitals in the country, even though it had scant evidence to benchmark its performance against others. But data co-collected by the Cystic Fibrosis Foundation instead showed that the outcome for... View Details
- 16 Nov 2010
- Lessons from the Classroom
Data.gov: Matching Government Data with Rapid Innovation
participants should think about innovation opportunities in data curation, he suggested. "Some US government data is still on COBOL-based platforms," Kundra reminded the class. "So we think an... View Details
- 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
- 26 Sep 2018
- Working Paper Summaries
Shifting Centers of Gravity: Host Country versus Headquarters Influences on MNC Subsidiary Knowledge Inheritance
- 16 Mar 2003
- Research & Ideas
At the Center of Corporate Scandal Where Do We Go From Here?
equity—grew from 8 percent to 66 percent. Almost all of that was due to option programs that made relatively poor use of market information and were poorly designed. The compensation committees rely on consultants to provide market-based View Details
Keywords: by Kim B. Clark
- September–October 2023
- Article
Prospective Evaluation of the Cost of Performing Breast Imaging Examinations Using Time-Driven Activity-Based Costing Method: A Single Center Study
By: Aamir Ali, Jordana Phillips, Damir Ljuboja, Syed S. Shehab, Etta D. Pisano, Robert S. Kaplan and Ammar Sarwar
We use time-driven activity-based costing (TDABC) to measure the cost of performing breast imaging using different modalities: full-field digital mammography (FFDM), digital breast tomosynthesis (DBT), contrast-enhanced mammography (CEM), US and MRI exams, and... View Details
Keywords: Time-Driven Activity-Based Costing; Health Care; Breast Cancer; Health Care and Treatment; Cost; Cost Accounting; Health Industry
Ali, Aamir, Jordana Phillips, Damir Ljuboja, Syed S. Shehab, Etta D. Pisano, Robert S. Kaplan, and Ammar Sarwar. "Prospective Evaluation of the Cost of Performing Breast Imaging Examinations Using Time-Driven Activity-Based Costing Method: A Single Center Study." Journal of Breast Imaging 5, no. 5 (September–October 2023): 546–554.