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(1,341)
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Show Results For
- All HBS Web
(1,341)
- News (127)
- Research (996)
- Events (12)
- Multimedia (2)
- Faculty Publications (482)
- May 2020
- Article
Inventory Auditing and Replenishment Using Point-of-Sales Data
By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos
Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an... View Details
Keywords: Shelf Availability; Inventory Record Inaccuracy; Optimal Replenishment; Retail Analytics; Performance Effectiveness; Analysis; Mathematical Methods
Bassamboo, Achal, Antonio Moreno, and Ioannis Stamatopoulos. "Inventory Auditing and Replenishment Using Point-of-Sales Data." Production and Operations Management 29, no. 5 (May 2020): 1219–1231.
- March 2009
- Article
Applicant and Examiner Citations in U.S. Patents: An Overview and Analysis
By: Juan Alcacer, Michelle Gittelman and Bhaven Sampat
Prior art patent citations have become a popular measure of patent quality and knowledge flow between firms. Interpreting these measurements is complicated, in some cases, because prior art citations are added by patent examiners as well as by patent applicants. The... View Details
Alcacer, Juan, Michelle Gittelman, and Bhaven Sampat. "Applicant and Examiner Citations in U.S. Patents: An Overview and Analysis." Research Policy 38, no. 2 (March 2009): 415–427.
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
- January 2021 (Revised March 2021)
- Supplement
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Analytics and Data Science; Analysis; Sales; Goods and Commodities; Retail Industry; Consumer Products Industry; United States
- March 2009
- Journal Article
Does Individual Performance Affect Entrepreneurial Mobility? Empirical Evidence from the Financial Analysis Market
By: Boris Groysberg, Ashish Nanda and M. Julia Prats
Our paper contributes to the studies on the relationship between workers' human capital and their decision to become self-employed as well as their probability to survive as entrepreneurs. Analysis from a panel data set of research analysts in investment banks over... View Details
Keywords: Entrepreneurship; Investment Banking; Retention; Human Capital; Performance Effectiveness; Banking Industry
Groysberg, Boris, Ashish Nanda, and M. Julia Prats. "Does Individual Performance Affect Entrepreneurial Mobility? Empirical Evidence from the Financial Analysis Market." Journal of Financial Transformation 25 (March 2009): 95–106.
- May 2017
- Other Article
Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis
By: Andrew Hill, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty and Scott Jelinsky
BACKGROUND:
The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes.... View Details
Keywords: Crowdsourcing; Genome-wide Association Study; Logistic Regression; Open Innovation; PLINK; Collaborative Innovation and Invention
Hill, Andrew, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty, and Scott Jelinsky. "Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis." GigaScience 6, no. 5 (May 2017).
- 2016
- Report
Review of Competitiveness Frameworks: An Analysis Conducted for the Irish National Competitiveness Council
By: Christian H.M. Ketels
The report reviews recent research on competitiveness as well as the use of competitiveness frameworks applied in leading international competitiveness rankings and in national competitiveness assessments. The report includes four main parts: The initial chapter... View Details
Ketels, Christian H.M. "Review of Competitiveness Frameworks: An Analysis Conducted for the Irish National Competitiveness Council." Report, Dublin, Ireland, April 2016.
- January 2021 (Revised March 2021)
- Exercise
E-Commerce Analytics for CPG Firms (A): Estimating Sales
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Estimation; Online Channel; Retail Analytics; Retail; Retailing Industry; Data; Data Sharing; Bricks And Mortar; Ecommerce; Direct-to-consumer; DTC; Analytics and Data Science; Sales; Marketing; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Exercise 521-078, January 2021. (Revised March 2021.)
- July, 2024
- Article
Consumer Protection in an Online World: An Analysis of Occupational Licensing
By: Chiara Farronato, Andrey Fradkin, Bradley Larsen and Erik Brynjolfsson
We study the demand and supply implications of occupational licensing using transaction-level data from a large online platform for home improvement services. We find that demand is more responsive to a professional's reviews than to the professional's... View Details
Keywords: Occupational Licensing; Consumer Protection; Perception; Experience and Expertise; Public Opinion; Governing Rules, Regulations, and Reforms; Demand and Consumers
Farronato, Chiara, Andrey Fradkin, Bradley Larsen, and Erik Brynjolfsson. "Consumer Protection in an Online World: An Analysis of Occupational Licensing." American Economic Journal: Applied Economics 16, no. 3 (July, 2024): 549–579.
- March 2010
- Article
Extreme Governance: An Analysis of Dual-Class Firms in the United States
By: Paul A. Gompers, Joy Ishii and Andrew Metrick
We construct a comprehensive list of dual-class firms in the United States and use this list to analyze the relationship between insider ownership and firm value. Our data have two useful features. First, since dual-class stock separates cash-flow rights from voting... View Details
Gompers, Paul A., Joy Ishii, and Andrew Metrick. "Extreme Governance: An Analysis of Dual-Class Firms in the United States." Review of Financial Studies 23, no. 3 (March 2010).
- January 2021
- Supplement
E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data Analysis; Data Analytics; CPG; Consumer Packaged Goods (CPG); Online Channel; Retail; Retail Analytics; Retailing Industry; Data; Data Sharing; Ecommerce; Assortment Optimization; Assortment Planning; Analytics and Data Science; Retention; Retail Industry; Consumer Products Industry; United States
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the... View Details
Keywords: Pricing; Pricing Algorithms; Dynamic Pricing; Ecommerce; Pricing Strategy; Pricing And Revenue Management; Apparel; Singapore; Startup; Demand Estimation; Data Analysis; Data Analytics; Exercise; Price; Internet and the Web; Apparel and Accessories Industry; Retail Industry; Fashion Industry; Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
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: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 26 Apr 2011
- Working Paper Summaries
The Contingent Effect of Absorptive Capacity: An Open Innovation Analysis
Keywords: by Andrew A. King & Karim R. Lakhani
- Web
Data Tips & Toolkits - Research Computing Services
regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. Pwr : Power analysis functions along the lines of Cohen (1988). Visualizations Word Cloud... View Details
- Web
Data Science for Managers 2 - Course Catalog
making. The course builds on concepts learned in DSM and is specifically suited for students who want to continue their career at companies such as technology companies, where data collection, aggregation, and View Details
- May 2011
- Article
Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis
By: Kevin J. Boudreau, Nicola Lacetera and Karim R. Lakhani
Contests are a historically important and increasingly popular mechanism for encouraging innovation. A central concern in designing innovation contests is how many competitors to admit. Using a unique data set of 9,661 software contests, we provide evidence of two... View Details
Keywords: Motivation and Incentives; Problems and Challenges; Risk and Uncertainty; Innovation and Invention; Management Analysis, Tools, and Techniques; Value; Applications and Software; Competition; Performance; Theory; Practice
Boudreau, Kevin J., Nicola Lacetera, and Karim R. Lakhani. "Incentives and Problem Uncertainty in Innovation Contests: An Empirical Analysis." Management Science 57, no. 5 (May 2011): 843–863.
- Article
Pricing and Production Flexibility: An Empirical Analysis of the U.S. Automotive Industry
By: Antonio Moreno and Christian Terwiesch
We use a detailed data set from the U.S. auto industry spanning from 2002 to 2009 and a variety of econometric methods to characterize the relationship between the availability of production mix flexibility and firms’ use of responsive pricing. We find that production... View Details
Keywords: Empirical Operations Management; Flexibility; Pricing; Automotive Industry; Production; Price; Management; Analysis; Auto Industry; United States
Moreno, Antonio, and Christian Terwiesch. "Pricing and Production Flexibility: An Empirical Analysis of the U.S. Automotive Industry." Manufacturing & Service Operations Management 17, no. 4 (Fall 2015): 428–444.
- Fast Answer
HBS Alumni Research Tips: Finding Market Data & Insights
How can alumni search for market data, trends, and insights? Statista is a user-friendly aggregator of statistical data from more than 20,000 sources worldwide. Follow instructions to register for a free premium account. Search for... View Details
- Fall 2017
- Article
An Empirical Analysis of Investment Return Dispersion in Emerging Markets Private Equity
By: Josh Lerner and Mark Baker
The authors use transaction-level data to compare the dispersion of private equity (PE) returns in emerging markets (EMs) to the same in developed markets (DMs). They regress within-market absolute deviation from the mean on an EM indicator and controls. They find... View Details
Lerner, Josh, and Mark Baker. "An Empirical Analysis of Investment Return Dispersion in Emerging Markets Private Equity." Journal of Private Equity 20, no. 4 (Fall 2017): 15–24.