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  • All HBS Web  (7,603)
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    • News  (1,356)
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Show Results For

  • All HBS Web  (7,603)
    • People  (3)
    • News  (1,356)
    • Research  (5,011)
    • Events  (123)
    • Multimedia  (55)
  • Faculty Publications  (3,409)
← Page 21 of 7,603 Results →
  • September 1987
  • Article

Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data

By: J. Frankel and K. A. Froot
Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Japan; United States
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Frankel, J., and K. A. Froot. "Short-term and Long-term Expectations of the Yen/Dollar Exchange Rate: Evidence from Survey Data." Journal of the Japanese and International Economies 1 (September 1987): 249–274. (Revised from NBER Working Paper No. 2216, April 1987.)
  • 2010
  • Conference Paper

Knowledge Creation in Multinationals and Return Migration of Inventors: Evidence from Micro Data

By: Prithwiraj Choudhury
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Choudhury, Prithwiraj. "Knowledge Creation in Multinationals and Return Migration of Inventors: Evidence from Micro Data." 2010. (Academy of Management Annual Conference 2010, Best Papers Proceedings.)
  • 21 Aug 2017
  • Lessons from the Classroom

Companies Love Big Data But Lack the Strategy To Use It Effectively

Source: peterhowell Big data has shifted the ground under every business, enough so that many managers are waking up to the fact that they are already behind in developing a smart data strategy. View Details
Keywords: by Dina Gerdeman
  • 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
  • Article

Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business

By: Marco Iansiti and Karim R. Lakhani
When Google bought Nest, a maker of digital thermostats, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are spreading across even the most traditional industrial segments and creating a staggering array of... View Details
Keywords: Digital Innovation; Digitization; Industrial Internet; Technological Innovation; Production; Competitive Strategy; Engineering; Aerospace Industry
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Iansiti, Marco, and Karim R. Lakhani. "Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business." Harvard Business Review 92, no. 11 (November 2014): 90–99.
  • June 2020
  • Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
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Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
  • November 2021
  • Article

Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data

By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,... View Details
Keywords: Pattern Detection; Subset Scanning; Gaussian Processes; Mathematical Methods
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Herlands, William, Edward McFowland III, Andrew Gordon Wilson, and Daniel B. Neill. "Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data." Proceedings of Machine Learning Research (PMLR) 84 (2018): 425–434. (Also presented at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.)
  • 2023
  • Working Paper

New Facts and Data about Professors and Their Research

By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
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Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
  • July 2018
  • Article

Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India

By: Satchit Balsari, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH and Tarun Khanna
In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world’s largest insurance program. To meet this target, the government will rely on technology to... View Details
Keywords: Health Information Exchange; India; Health APIs; Health Care and Treatment; Information; Analytics and Data Science; Information Technology; Health Industry; India
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Balsari, Satchit, Alexander Fortenko MD, MPH, Joaquin A. Blaya PhD, Adrian Gropper MD, Malavika Jayaram LLM, Rahul Matthan LLM, Ram Sahasranam, Mark Shankar MD, Suptendra N. Sarbadhikari PhD, Barbara Bierer, Kenneth D. Mandl MD, Sanjay Mehendale MD, MPH, and Tarun Khanna. "Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India." Journal of Medical Internet Research 20, no. 7 (July 2018).
  • 2003
  • Working Paper

The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies

By: Raghuram G. Rajan and Julie Wulf
Using a detailed database of managerial job descriptions, reporting relationships, and compensation structures in over 300 large U.S. firms, we find that firm hierarchies are becoming flatter. The number of positions reporting directly to the CEO has gone up... View Details
Keywords: Organizational Structure; Managerial Roles; Jobs and Positions; United States
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Rajan, Raghuram G., and Julie Wulf. "The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies." NBER Working Paper Series, No. 9633, April 2003. (Published in Review of Economics & Statistics 2006.)
  • November 2006
  • Article

The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies

By: Raghuram G. Rajan and Julie Wulf
Using a detailed database of managerial job descriptions, reporting relationships, and compensation structures in over 300 large U.S. firms, we find that firm hierarchies are becoming flatter. The number of positions reporting directly to the CEO has gone up... View Details
Keywords: Geographic Location; Change; Business Ventures; Compensation and Benefits; Rank and Position; Wages; Motivation and Incentives; Organizational Change and Adaptation; Jobs and Positions; United States
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Rajan, Raghuram G., and Julie Wulf. "The Flattening Firm: Evidence from Panel Data on the Changing Nature of Corporate Hierarchies." Review of Economics and Statistics 88, no. 4 (November 2006): 759–773.
  • 28 Apr 2015
  • News

Data Science Contest “Keeping it Fresh”: Predict Restaurant Health Scores

  • 27 Jul 2017
  • News

The Revolution in Advertising: From Don Draper to Big Data

  • August 2020 (Revised September 2020)
  • Technical Note

Assessing Prediction Accuracy of Machine Learning Models

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
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Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
  • 16 Feb 2015
  • News

Yelp suggests its open data project could help end food poisoning

  • March 27, 2017
  • Article

How the Water Industry Learned to Embrace Data

By: Frank V. Cespedes and Amir Peleg
Most current talk about “big data” seems to assume the disintermediation or replacement of physical assets by digital technologies. But a bigger and more impactful trend is the use of online tools to improve physical asset utilization in many traditional off-line... View Details
Keywords: Information Technology; Analytics and Data Science; Organizational Change and Adaptation; Utilities Industry
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Cespedes, Frank V., and Amir Peleg. "How the Water Industry Learned to Embrace Data." Harvard Business Review (website) (March 27, 2017).
  • Fast Answer

Government data and information sources for public entrepreneurship

list of 85 municipal open data sites Where can I find information on spending for local governments? You can find a variety of cities who make data available via easy to... View Details
  • August 2005 (Revised April 2008)
  • Teaching Note

Store24 (B): Statistics Review with Data Desk (TN)

By: Frances X. Frei
Presents an overview of the statistical analysis covered in the case discussion. View Details
Keywords: Mathematical Methods; Retail Industry
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Frei, Frances X. "Store24 (B): Statistics Review with Data Desk (TN)." Harvard Business School Teaching Note 606-037, August 2005. (Revised April 2008.)
  • October 2017
  • Article

Progress In Interoperability: Measuring US Hospitals' Engagement In Sharing Patient Data

By: A Jay Holmgren, Vaishali Patel and Julia Adler-Milstein
Achieving an interoperable health care system remains a top US policy priority. Despite substantial efforts to encourage interoperability, the first set of national data in 2014 suggested that hospitals’ engagement levels were low. With 2015 data now available, we... View Details
Keywords: Health; Technology; Electronic Health Records; Health Care and Treatment; Data and Data Sets; Technology Networks; Policy; United States
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Holmgren, A Jay, Vaishali Patel, and Julia Adler-Milstein. "Progress In Interoperability: Measuring US Hospitals' Engagement In Sharing Patient Data." Health Affairs 36, no. 10 (October 2017): 1820–1827.
  • August 2005 (Revised December 2006)
  • Case

Procter & Gamble: Electronic Data Capture and Clinical Trial Management

By: Robert S. Huckman and Mark J. Cotteleer
Considers whether the management of Procter & Gamble (P&G) Pharmaceuticals should adopt Web-based electronic data capture (EDC) as the default standard for the management of its clinical drug trials. Provides a detailed description of the existing paper-based process... View Details
Keywords: Health Testing and Trials; Internet and the Web; Information Technology; Adoption; Business Processes; Industry Structures; Technological Innovation; Service Operations; Pharmaceutical Industry; United States
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Huckman, Robert S., and Mark J. Cotteleer. "Procter & Gamble: Electronic Data Capture and Clinical Trial Management." Harvard Business School Case 606-033, August 2005. (Revised December 2006.)
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