Filter Results:
(1,329)
Show Results For
- All HBS Web
(1,329)
- News (118)
- Research (992)
- Events (12)
- Multimedia (2)
- Faculty Publications (469)
Show Results For
- All HBS Web
(1,329)
- News (118)
- Research (992)
- Events (12)
- Multimedia (2)
- Faculty Publications (469)
- September 2009
- Article
A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement
By: Matthew Carty MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow and Dennis Orgill
Background: The increased focus on quality and efficiency improvement within academic surgery has met with variable success among plastic surgeons. Traditional surgical performance metrics, such as morbidity and mortality, are insufficient to improve the... View Details
Keywords: Experience and Expertise; Health Care and Treatment; Medical Specialties; Outcome or Result; Performance Efficiency; Performance Improvement
Carty, Matthew, MD, Rodney Chan, Robert S. Huckman, Daniel C. Snow, and Dennis Orgill. "A Detailed Analysis of the Reduction Mammaplasty Learning Curve: A Statistical Process Model for Approaching Surgical Performance Improvement." Plastic and Reconstructive Surgery 124, no. 3 (September 2009): 706–714.
- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- 2014
- Working Paper
The Contract Year Phenomenon in the Corner Office: An Analysis of Firm Behavior During CEO Contract Renewals
By: Ping Liu and Yuhai Xuan
This paper investigates how executive employment contracts influence corporate financial policies during the final year of the contract term, using a new, hand-collected data set of CEO employment agreements. On the one hand, the impending expiration of fixed-term... View Details
Liu, Ping, and Yuhai Xuan. "The Contract Year Phenomenon in the Corner Office: An Analysis of Firm Behavior During CEO Contract Renewals." Working Paper, April 2014.
The Contract Year Phenomenon in the Corner Office: An Analysis of Firm Behavior During CEO Contract Renewals
This paper investigates how executive employment contracts influence corporate financial policies during the final year of the contract term, using a new, hand-collected data set of CEO employment agreements. On the one hand, the impending... View Details
- Web
Research & Data Services for HBS Faculty & Doctoral Students | Baker Library
Wrangling Data Licensing & Acquisitions Fact-Checking & Background Information Literature & Article Searches Programming & Statistical Analysis Purchase Requests & (HOLLIS) Book Delivery Contact: Baker... View Details
- July 2018 (Revised June 2020)
- Case
The Boston Cranberry Company
By: Alan MacCormack
This case describes the operations of a fictitious company that processes Cranberries. The case contains data that allows students to calculate the bottleneck stage in production, and to evaluate alternative investment options for increasing cranberry processing... View Details
Keywords: Process Analysis; Plant Management; Operations; Production; Management; Analysis; Performance Capacity; Investment
MacCormack, Alan. "The Boston Cranberry Company." Harvard Business School Case 619-009, July 2018. (Revised June 2020.)
- September 2019 (Revised January 2021)
- Case
Vispera: Visual Intelligence for Retail
By: Yael Grushka-Cockayne and Gamze Yucaoglu
The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company’s agenda trying to decide how to prioritize the impeding options. The case chronicles the founding of Vispera, the... View Details
Keywords: Computer Vision Technology; Visual Analysis; Retail; Information Technology; Business Model; Operations; Performance Efficiency; Competitive Strategy; Decision Choices and Conditions; Global Strategy; Technology Industry; Retail Industry; Turkey
Grushka-Cockayne, Yael, and Gamze Yucaoglu. "Vispera: Visual Intelligence for Retail." Harvard Business School Case 620-022, September 2019. (Revised January 2021.)
- Web
Data for Impact: Impact Measurement from Startup to Fortune 500 C-Suite - Course Catalog
develop data literacy even amongst managers who never plan to implement statistical analyses themselves. This course requires an openness to – but no prior background in – statistical analysis and... View Details
- November 2017
- Article
A Retrospective Analysis of Hypertension Screening at a Mass Gathering in India: Implications for Non-communicable Disease Control Strategies
By: S. Balsari, P. Vemulapalli, M. Gofine, K. Oswal, R. Merchant, S. Saunik, G. Greenough and T. Khanna
Cardiovascular disease is the leading cause of mortality from noncommunicable diseases (NCD) in India. The government’s National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke seeks to increase capacity building, screening,... View Details
Balsari, S., P. Vemulapalli, M. Gofine, K. Oswal, R. Merchant, S. Saunik, G. Greenough, and T. Khanna. "A Retrospective Analysis of Hypertension Screening at a Mass Gathering in India: Implications for Non-communicable Disease Control Strategies." Journal of Human Hypertension 31, no. 11 (November 2017): 750–753.
- September 2013
- Teaching Note
The Case of the Unidentified Industries—2013
By: Mihir A. Desai, William E. Fruhan, Jr. and Elizabeth A. Meyer
Helps students to understand how the characteristics of a business are reflected in its financial statements. This case consists of an exercise in which students are given balance sheet data in percentage form and other selected financial data for companies in 14... View Details
- Article
Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials
By: Caroline Marra, William J. Gordon and Ariel Dora Stern
Objectives: In an effort to mitigate COVID-19 related challenges for clinical research, the U.S. Food and Drug Administration (FDA) issued new guidance for the conduct of ‘virtual’ clinical trials in late March 2020. This study documents trends in the use of... View Details
Keywords: Connected Digital Products; Telehealth; Remote Monitoring; Health Testing and Trials; Research; Governing Rules, Regulations, and Reforms; Information Technology
Marra, Caroline, William J. Gordon, and Ariel Dora Stern. "Use of Connected Digital Products in Clinical Research Following the COVID-19 Pandemic: A Comprehensive Analysis of Clinical Trials." BMJ Open 11, no. 6 (2021).
- September 2013
- Case
The Case of the Unidentified Industries—2013
By: Mihir A. Desai, William E. Fruhan Jr. and Elizabeth A. Meyer
Helps students to understand how the characteristics of a business are reflected in its financial statements. This case consists of an exercise in which students are given balance sheet data in percentage form and other selected financial data for companies in 14... View Details
Keywords: Financial Management; Accounting Statements; Ratio Analysis; Financial Statements; Finance
Desai, Mihir A., William E. Fruhan Jr., and Elizabeth A. Meyer. "The Case of the Unidentified Industries—2013." Harvard Business School Case 214-028, September 2013.
- August 2021
- Case
Precision Paint Co.
Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details
Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021.
- Teaching Interest
Overview
Teaching has been a lifelong passion of mine. As the third generation of academics in my family, I see good teaching as a means to give back and to encourage others to share my passion for discovery. I’ve been very lucky to have many teaching opportunities, both as an... View Details
Keywords: Big Data; Technology Strategy; Machine Learning; Data Science; "Marketing Analytics"; Data Visualization; Analysis; Technological Innovation; Innovation and Invention; Intellectual Property; Corporate Strategy; Software; Information Technology; Entrepreneurship; Marketing; Technology Industry; Information Technology Industry; Green Technology Industry; Computer Industry; Advertising Industry
- November 28, 2017
- Editorial
Active Investing v.2.0
By: Gabriel Karageorgiou and George Serafeim
Keywords: Investment; Investing; Technology; Big Data; Quantitative Analysis; ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Analytics and Data Science
Karageorgiou, Gabriel, and George Serafeim. "Active Investing v.2.0." Pensions & Investments (online) (November 28, 2017).
- March 2019
- Case
HOPI: Turkey's Shopping Companion
By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details
Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey
Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 2019.
- January 2014 (Revised January 2017)
- Case
Nivea (A)
By: Karim R. Lakhani, Johann Fuller, Volker Bilgram and Greta Friar
The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand... View Details
Keywords: Innovation; Innovation Management; Crowdsourcing; Big Data; Innovation Strategy; Innovation and Management; Knowledge Management; Knowledge Sharing; Research and Development; Social and Collaborative Networks; Collaborative Innovation and Invention; Analytics and Data Science; Beauty and Cosmetics Industry; Consumer Products Industry
Lakhani, Karim R., Johann Fuller, Volker Bilgram, and Greta Friar. "Nivea (A)." Harvard Business School Case 614-042, January 2014. (Revised January 2017.)
- 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
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.