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      Applications and SoftwareRemove Applications and Software →

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      • Article

      Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

      By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
      Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
      Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
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      Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
      • January 2019
      • Teaching Note

      Pricing PatientPing

      By: Frank V. Cespedes
      Teaching Note for HBS No. 818-017. PatientPing sells a software platform that allows health care providers to receive real-time notifications (“pings”) when one of their patients is admitted to or discharged from a health-care facility. The platform facilitates... View Details
      Keywords: Pricing; Health Tech; Health Technology; Sales Process; Sales Strategy; Price; Sales; Marketing Strategy; Health Care and Treatment; Health Industry; Technology Industry; United States; Massachusetts
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      Cespedes, Frank V. "Pricing PatientPing." Harvard Business School Teaching Note 819-098, January 2019.
      • 2019
      • Article

      Fair Algorithms for Learning in Allocation Problems

      By: Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth and Zachary Schutzman
      Settings such as lending and policing can be modeled by a centralized agent allocating a scarce resource (e.g. loans or police officers) amongst several groups, in order to maximize some objective (e.g. loans given that are repaid, or criminals that are apprehended).... View Details
      Keywords: Allocation Problems; Algorithms; Fairness; Learning
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      Elzayn, Hadi, Shahin Jabbari, Christopher Jung, Michael J Kearns, Seth Neel, Aaron Leon Roth, and Zachary Schutzman. "Fair Algorithms for Learning in Allocation Problems." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 170–179.
      • January 2019
      • Case

      Data.gov (Abridged)

      By: Karim R. Lakhani, Robert D. Austin and Yumi Yi
      This case presents the logic and execution underlying the launch of Data.gov, an instantiation of President Obama's initiative for transparency and open government. The process used by Vivek Kundra, the federal CIO, and his team to rapidly develop the website and to... View Details
      Keywords: Safety; Rights; Analytics and Data Science; Internet and the Web; Ethics; Cost vs Benefits; Innovation and Management; Information Management; Public Administration Industry; Information Industry; United States
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      Lakhani, Karim R., Robert D. Austin, and Yumi Yi. "Data.gov (Abridged)." Harvard Business School Case 619-043, January 2019.
      • 2019
      • Chapter

      Teams and Team Effectiveness in Health Services Organizations

      By: Bruce J. Fried and Amy C. Edmondson
      Book Abstract: Completely updated to address the challenges faced by modern health care organizations, this edition of Shortell and Kaluzny's Health Care Management: Organization Design and Behavior offers a more global perspective on how the United States and... View Details
      Keywords: Groups and Teams; Performance Effectiveness; Health; Health Industry
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      Fried, Bruce J., and Amy C. Edmondson. "Teams and Team Effectiveness in Health Services Organizations." Chap. 5 in Shortell & Kaluzny's Health Care Management: Organization Design and Behavior. 7th ed., edited by Lawton Robert Burns, Elizabeth H. Bradley, and Bryan Jeffrey Weiner, 98–131. Boston, MA: Cengage Learning, 2019.
      • December 2018 (Revised March 2021)
      • Background Note

      Modern Automation (A): Artificial Intelligence

      By: William R. Kerr and James Palano
      This primer is meant to be a field guide to the late 2010s' surge in business use of "Artificial Intelligence" (AI), or enterprise software based in machine learning. First, it provides an overview of the key trends—digitization, connectivity, the continuation of... View Details
      Keywords: Artificial Intelligence; Digitization; Connectivity; Computing; Future Of Work; Automation; AI and Machine Learning
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      Kerr, William R., and James Palano. "Modern Automation (A): Artificial Intelligence." Harvard Business School Background Note 819-084, December 2018. (Revised March 2021.)
      • December 2018 (Revised August 2022)
      • Teaching Note

      Revenue Recognition at HBP

      By: Siko Sikochi and Paul Healy
      In early 2014, Corporate Learning, one of three business units at Harvard Business Publishing (HBP), was in the process of revamping its flagship product, Harvard Manage-Mentor (HMM) from version 11.0 (HMM11) to version 12.0 (HMM12). The revamped software would be... View Details
      Keywords: Accrual Accounting; Budgets and Budgeting; Revenue Recognition; Financial Reporting; Publishing Industry; Education Industry; United States
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      Sikochi, Siko, and Paul Healy. "Revenue Recognition at HBP." Harvard Business School Teaching Note 119-015, December 2018. (Revised August 2022.)
      • December 2018 (Revised February 2020)
      • Case

      Fishbowl: Scaling Up

      By: Leslie K. John
      Fishbowl is a social media app that allows professionals to connect with other relevant professionals both within their company and across industry. Unlike many other social media apps, on which users typically present idealized portraits of themselves, on Fishbowl,... View Details
      Keywords: Communication Technologies; Customer Value; Value Chain; Interpersonal Communication; Talent and Talent Management; Customer Value and Value Chain; Entrepreneurship; Business Model; Growth and Development Strategy; Marketing Strategy; Advertising; Product Marketing; Digital Platforms; Consumer Behavior; Network Effects; Emotions; Motivation and Incentives; Trust; Applications and Software; Technology Adoption; Social Media; Media and Broadcasting Industry; Media and Broadcasting Industry; Media and Broadcasting Industry; Media and Broadcasting Industry; Media and Broadcasting Industry; United States
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      John, Leslie K. "Fishbowl: Scaling Up." Harvard Business School Case 919-013, December 2018. (Revised February 2020.) (Email mking@hbs.edu for a courtesy copy.)
      • December 2018
      • Case

      Tiantong & Partners: Transforming Litigation Practice in China

      By: Ashish Nanda and Lisa Rohrer
      Jiang Yong founded Tiantong & Partners in 2002, seeking to radically improve the level of litigation-related services in China. By 2015, Tiantong was the premier Chinese litigation firm with the highest per lawyer revenues. The firm focused exclusively on high-stakes... View Details
      Keywords: Law Firm; Law Firms; Growth; Legal Industry; Regulation; Professional Services; Law; Lawsuits and Litigation; Internet and the Web; Growth and Development; Strategy; Entrepreneurship; Decision Choices and Conditions; Legal Services Industry; China
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      Nanda, Ashish, and Lisa Rohrer. "Tiantong & Partners: Transforming Litigation Practice in China." Harvard Business School Case 719-457, December 2018.
      • December 2018
      • Article

      Reserve Design: Unintended Consequences and the Demise of Boston's Walk Zones

      By: Umut Dur, Scott Duke Kominers, Parag A. Pathak and Tayfun Sönmez
      Admissions policies often use reserves to grant certain applicants higher priority for some (but not all) available seats. Boston’s school choice system, for example, reserved half of each school’s seats for local neighborhood applicants while leaving the other half... View Details
      Keywords: Neighborhoods; Equal Access; School Choice; Affirmative Action; Desegregation; Marketplace Matching; Fairness; Local Range; Education; Policy
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      Dur, Umut, Scott Duke Kominers, Parag A. Pathak, and Tayfun Sönmez. "Reserve Design: Unintended Consequences and the Demise of Boston's Walk Zones." Journal of Political Economy 126, no. 6 (December 2018): 2457–2479.
      • October 2018
      • Case

      Zenefits Board of Directors (A)

      By: Lynn S. Paine and Will Hurwitz
      In early 2018, the time seemed right for Zenefits investor and director Lars Dalgaard to reflect on whether Zenefits had the right board of directors to shepherd the company through its next stages of growth. For the company whose name combined the words “benefits,”... View Details
      Keywords: Ethics; Business Model; Corporate Accountability; Governing and Advisory Boards; Corporate Governance; Crisis Management; Entrepreneurship; Human Resources; Leadership; Risk Management; Venture Capital; Technology Industry; Telecommunications Industry; Information Technology Industry; United States; California
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      Paine, Lynn S., and Will Hurwitz. "Zenefits Board of Directors (A)." Harvard Business School Case 319-034, October 2018.
      • October 2018 (Revised May 2019)
      • Teaching Note

      Intuit: Turbo Tax PersonalPro - A Tale of Two Entrepreneurs

      By: Joseph Fuller, Shikhar Ghosh and Monica Baraldi
      Teaching Note for HBS No. 816-048. The case tells the story of a product manager within Intuit who develops an idea for a new product that spans two of the company's existing business units—professional tax software, sold to accountants, and the consumer focused... View Details
      Keywords: Business Units; Business or Company Management; Applications and Software; Accounting; Product Development; Financial Services Industry
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      Fuller, Joseph, Shikhar Ghosh, and Monica Baraldi. "Intuit: Turbo Tax PersonalPro - A Tale of Two Entrepreneurs." Harvard Business School Teaching Note 319-045, October 2018. (Revised May 2019.)
      • October 2018
      • Case

      American Family Insurance and the Artificial Intelligence Opportunity

      By: Rajiv Lal and Scott Johnson
      Keywords: Artificial Intelligence; Machine Learning; Automation; Analytics; American Family; American Family Insurance; Insurance; Business Organization; Transformation; Talent and Talent Management; Employee Relationship Management; Innovation Strategy; Job Cuts and Outsourcing; Risk and Uncertainty; Mobile and Wireless Technology; Technology Adoption; Internet and the Web; Applications and Software; Corporate Strategy; AI and Machine Learning; Digital Transformation; Insurance Industry; Technology Industry; Wisconsin
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      Lal, Rajiv, and Scott Johnson. "American Family Insurance and the Artificial Intelligence Opportunity." Harvard Business School Case 519-028, October 2018.
      • October 2018 (Revised July 2023)
      • Case

      Innovation at Uber: The Launch of Express POOL

      By: Chiara Farronato, Alan MacCormack and Sarah Mehta
      Set in March 2018, the case follows ride-sharing company Uber as it develops and launches a new product called Express POOL. This product offers a reduced price to riders willing to carpool, walk a short distance to/from their pick-up and drop-off points, and wait a... View Details
      Keywords: Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Information Technology; Mobile and Wireless Technology; Applications and Software; Digital Platforms; Decision Making; Technology Industry; California; San Francisco
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      Farronato, Chiara, Alan MacCormack, and Sarah Mehta. "Innovation at Uber: The Launch of Express POOL." Harvard Business School Case 619-003, October 2018. (Revised July 2023.)
      • September 2018 (Revised December 2019)
      • Case

      Zebra Medical Vision

      By: Shane Greenstein and Sarah Gulick
      An Israeli startup founded in 2014, Zebra Medical Vision developed algorithms that produced diagnoses from X-rays, mammograms, and CT-scans. The algorithms used deep learning and digitized radiology scans to create software that could assist doctors in making... View Details
      Keywords: Radiology; Machine Learning; X-ray; CT Scan; Medical Technology; Probability; FDA 510(k); Diagnosis; Business Startups; Health Care and Treatment; Information Technology; Applications and Software; Competitive Strategy; Product Development; Commercialization; Decision Choices and Conditions; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Israel
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      Greenstein, Shane, and Sarah Gulick. "Zebra Medical Vision." Harvard Business School Case 619-014, September 2018. (Revised December 2019.)
      • 2020
      • Working Paper

      Machine Learning for Pattern Discovery in Management Research

      By: Prithwiraj Choudhury
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
      Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
      • September 2018
      • Case

      Sealed Air Corporation: Deciding the Fate of VTID (Abridged)

      By: Elie Ofek
      In mid-2010 the Sealed Air Corporation has to decide on next steps for its novel video tracking technology (called VTID) after unsuccessful attempts to market it in three different industry settings. The company must determine whether its most recent target market, the... View Details
      Keywords: Budgets and Budgeting; Customer Focus and Relationships; Decision Choices and Conditions; Technological Innovation; Marketing Strategy; Problems and Challenges; Commercialization; Service Industry
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      Ofek, Elie. "Sealed Air Corporation: Deciding the Fate of VTID (Abridged)." Harvard Business School Case 519-030, September 2018.
      • 2018
      • Working Paper

      The State of Open Source Server Software

      By: Shane Greenstein and Klaus Ackermann
      The study assembles new data to construct a census of worldwide web server use across the globe. We document a large concentration of investment in the United States, and a wide dispersion across scores of countries. We find tens of billions of dollars of unmeasured... View Details
      Keywords: Internet; Open Source; Internet and the Web; Policy; Open Source Distribution; Internet and the Web; Global Range
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      Greenstein, Shane, and Klaus Ackermann. "The State of Open Source Server Software." Working Paper, September 2018.
      • Fall 2018
      • Article

      What Problems Will You Solve with Blockchain?: Before Jumping on the Bandwagon, Companies Need to Carefully Consider how Ledger Technologies Fit into their Overall Strategy

      By: Teppo Felin and Karim R. Lakhani
      Distributed ledger technologies — collectively known as blockchain — have burst onto the business scene, accompanied by a significant amount of hype.They are widely expected to disrupt existing industries and lead to the creation of new types of companies. Some of the... View Details
      Keywords: Blockchain; Technology Adoption; Strategy; Business Processes; Innovation Strategy
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      Felin, Teppo, and Karim R. Lakhani. "What Problems Will You Solve with Blockchain? Before Jumping on the Bandwagon, Companies Need to Carefully Consider how Ledger Technologies Fit into their Overall Strategy." Reprint 60115. MIT Sloan Management Review 60, no. 1 (Fall 2018).
      • August 2018 (Revised September 2018)
      • Case

      LendingClub (A): Data Analytic Thinking (Abridged)

      By: Srikant M. Datar and Caitlin N. Bowler
      LendingClub was founded in 2006 as an alternative, peer-to-peer lending model to connect individual borrowers to individual investor-lenders through an online platform. Since 2014 the company has worked with institutional investors at scale. While the company assigns... View Details
      Keywords: Data Science; Data Analytics; Investing; Loans; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction; Business Model
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      Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (A): Data Analytic Thinking (Abridged)." Harvard Business School Case 119-020, August 2018. (Revised September 2018.)
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