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      • Faculty Publications  (421)

      Data And Data Sets Remove Data And Data Sets →

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      Data and Data Sets
      Skip to Main Content Cold Call A podcast featuring faculty discussing cases they've written and the lessons they impart. Subscribe on iTunes 29 Sep...
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      • January 2021
      • Article

      Using Models to Persuade

      By: Joshua Schwartzstein and Adi Sunderam
      We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model...  View Details
      Keywords: Model Persuasion; data And data sets; Forecasting And Prediction; Mathematical Methods; Framework
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      Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
      • December 2020
      • Supplement

      People Analytics at Teach For America (B) (Data Set)

      By: Jeff Polzer
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      Polzer, Jeff. "People Analytics at Teach For America (B) (Data Set)." Harvard Business School Spreadsheet Supplement 421-054, December 2020.
      • December 2020
      • Article

      Taking Innovation to the Streets: Micro-geography, Physical Structure and Innovation

      By: Maria P. Roche
      In this paper, we analyze how the physical layout of cities affects innovation by influencing the organization of knowledge exchange. We exploit a novel data set covering all Census Block Groups in the contiguous United States with information on innovation outcomes,...  View Details
      Keywords: Microgeography; Innovation; Street Infrastructure; Knowledge Exchange; Interactions; Geography; City; Innovation And Invention; Knowledge Sharing
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      Roche, Maria P. "Taking Innovation to the Streets: Micro-geography, Physical Structure and Innovation." Review of Economics and Statistics 102, no. 5 (December 2020): 912–928.
      • Article

      Value of New Performance Information in Healthcare: Evidence from Japan

      By: Susanna Gallani, Takehisa Kajiwara and Ranjani Krishnan
      Mandatory measurement and disclosure of outcome measures are commonly used policy tools in healthcare. The effectiveness of such disclosures relies on the extent to which the new information produced by the mandatory system is internalized by the healthcare...  View Details
      Keywords: Value Of Information; Feedback; Patient Satisfaction; Healthcare; Health Care And Treatment; Satisfaction; Information; Measurement And Metrics; Performance Improvement
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      Gallani, Susanna, Takehisa Kajiwara, and Ranjani Krishnan. "Value of New Performance Information in Healthcare: Evidence from Japan." International Journal of Health Economics and Management 20, no. 4 (December 2020): 319–357.
      • 2020
      • Working Paper

      The Value of Descriptive Analytics: Evidence from Online Retailers

      By: Ron Berman and Ayelet Israeli
      Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic control method to analyze the staggered adoption of a retail analytics dashboard by more than 1,000 e-commerce websites, and find an increase of 13–20%...  View Details
      Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Web Sites; data And data sets; Performance; Retail Industry
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      Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Harvard Business School Working Paper, No. 21-067, November 2020.
      • November 3, 2020
      • Article

      Gender Differences in COVID-19 Related Attitudes and Behavior: Evidence from a Panel Survey in Eight OECD Countries

      By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard and Martial Foucault
      Using original data from two waves of a survey conducted in March and April 2020 in eight OECD countries (N = 21,649), we show that women are more likely to see COVID-19 as a very serious health problem, to agree with restraining public policy measures adopted in...  View Details
      Keywords: Covid-19; Health Pandemics; Attitudes; Behavior; Gender; Policy; Governance Compliance
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      Galasso, Vincenzo, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard, and Martial Foucault. "Gender Differences in COVID-19 Related Attitudes and Behavior: Evidence from a Panel Survey in Eight OECD Countries." Proceedings of the National Academy of Sciences 117, no. 44 (November 3, 2020).
      • October 2020
      • Exercise

      FirstSense Technologies: Pricing to Win

      By: Elie Ofek, Eyal Biyalogorsky, Marco Bertini and Oded Koenigsberg
      This exercise serves to help students understand the proper role and use of costs in a firm’s pricing decisions. The exercise is designed such that the learning of students evolves across a classroom session, starting from understanding which costs are relevant when...  View Details
      Keywords: Pricing Decisions; Cost; Information; Price; Decision Making
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      Ofek, Elie, Eyal Biyalogorsky, Marco Bertini, and Oded Koenigsberg. "FirstSense Technologies: Pricing to Win." Harvard Business School Exercise 521-049, October 2020.
      • September 2020
      • 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; E-commerce; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice And Bias; Marketing Communications; data And data sets; Analysis; Decision Making; Ethics; Customer Relationship Management; Retail Industry; Apparel And Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020.
      • September 2020
      • Case

      Lojas Americanas: Project DNA and the 'People Machine'

      By: Boris Groysberg, Eric Lin and Sarah L. Abbott
      Lojas Americanas (“Americanas”) was one of the largest retailers in Brazil. Via its stores, digital platform and Innovation Engine, the company served more than 38 million people. In recent years, Americanas had enjoyed rapid growth; growing from 98 stores in 2001 to...  View Details
      Keywords: Retail; Data Analytics; Growth And Development; data And data sets; Analysis; Training; Performance; Employees; Management; Human Resources; Leadership Development; Retail Industry; Brazil
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      Groysberg, Boris, Eric Lin, and Sarah L. Abbott. "Lojas Americanas: Project DNA and the 'People Machine'." Harvard Business School Case 421-038, September 2020.
      • September 2020
      • Article

      Customer Supercharging in Experience-Centric Channels

      By: David R. Bell, Santiago Gallino and Antonio Moreno
      We conjecture that for online retailers, experience-centric offline store formats do not simply expand market coverage, but rather, serve to significantly amplify future positive customer behaviors, both online and offline. We term this phenomenon “supercharging” and...  View Details
      Keywords: Retail Operations; Marketing-operations Interface; Omnichannel Retailing; Experience Attributes; Quasi-experimental Methods; Operations; Online Technology; Marketing Channels; Consumer Behavior; Retail Industry
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      Bell, David R., Santiago Gallino, and Antonio Moreno. "Customer Supercharging in Experience-Centric Channels." Management Science 66, no. 9 (September 2020).
      • Article

      Conversational Receptiveness: Expressing Engagement with Opposing Views

      By: M. Yeomans, J. Minson, H. Collins, H. Chen and F. Gino
      We examine “conversational receptiveness”—the use of language to communicate one’s willingness to thoughtfully engage with opposing views. We develop an interpretable machine-learning algorithm to identify the linguistic profile of receptiveness (Studies 1A-B). We then...  View Details
      Keywords: Receptiveness; Natural Language Processing; Disagreement; Interpersonal Communication; Relationships; Conflict Management
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      Yeomans, M., J. Minson, H. Collins, H. Chen, and F. Gino. "Conversational Receptiveness: Expressing Engagement with Opposing Views." Organizational Behavior and Human Decision Processes 160 (September 2020): 131–148.
      • 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; data And data sets; 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.)
      • August 2020
      • Technical Note

      Comparing Two Groups: Sampling and t-Testing

      By: Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel
      This note describes sampling and t-tests, two fundamental statistical concepts.  View Details
      Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; data And data sets; Analysis; Surveys; Mathematical Methods
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      Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
      • 2020
      • Working Paper

      A Little Help from My Friends: How Receiving Assistance Affects Participation in Online Knowledge-Sharing Communities

      By: Eunkwang Seo, Frank Nagle and Sonali K. Shah
      Online knowledge-sharing communities are important arenas for the development and exchange of knowledge; both firm participation and sponsorship in communities are increasing, as is scholarly interest in understanding how interactions between members shape subsequent...  View Details
      Keywords: Online Communities; Knowledge Development; Innovation; Reciprocity; Knowledge Sharing; Networks; Innovation And Invention; Interpersonal Communication
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      Seo, Eunkwang, Frank Nagle, and Sonali K. Shah. "A Little Help from My Friends: How Receiving Assistance Affects Participation in Online Knowledge-Sharing Communities." Harvard Business School Working Paper, No. 21-026, August 2020.
      • Article

      The Importance of Being Causal

      By: Iavor I Bojinov, Albert Chen and Min Liu
      Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments....  View Details
      Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
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      Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
      • July 2020
      • Case

      Applying Data Science and Analytics at P&G

      By: Srikant M. Datar, Sarah Mehta and Paul Hamilton
      Set in December 2019, this case explores how P&G has applied data science and analytics to cut costs and improve outcomes across its business units. The case provides an overview of P&G’s approach to data management and governance, and reviews the challenges associated...  View Details
      Keywords: Data Science; Analytics; Analysis; Information; Information Management; Information Types; Innovation And Invention; Strategy; Consumer Products Industry; United States; Ohio
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      Datar, Srikant M., Sarah Mehta, and Paul Hamilton. "Applying Data Science and Analytics at P&G." Harvard Business School Case 121-006, July 2020.
      • Article

      How to Make Remote Monitoring Tech Part of Everyday Health Care

      By: Samantha F. Sanders, Ariel Dora Stern and William J. Gordon
      Remote patient monitoring is a subset of telehealth that involves the collection, transmission, evaluation, and communication of patient health data from electronic devices. These devices include wearable sensors, implanted equipment, and handheld instruments. During...  View Details
      Keywords: Health Care And Treatment; Technology; data And data sets; Technology Adoption
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      Sanders, Samantha F., Ariel Dora Stern, and William J. Gordon. "How to Make Remote Monitoring Tech Part of Everyday Health Care." Harvard Business Review (website) (July 2, 2020).
      • July 2020
      • Article

      Lessons From The Impact of Price Regulation on The Pricing Of Anticancer Drugs in Germany

      By: Victoria D. Lauenroth, Aaron S. Kesselheim, Ameet Sarpatwari and Ariel Dora Stern
      Worldwide spending on prescription drugs has increased dramatically in recent years. Although this increase has been particularly pronounced in the U.S., it remains largely unaddressed there. In Europe, however, different approaches to regulating drug prices have been...  View Details
      Keywords: Pharmaceuticals; Prescription Drug Costs; Drug Pricing; Access To Care; Cost Reduction; Health Care And Treatment; Price; Governing Rules, Regulations, And Reforms; Cost Management; Germany
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      Lauenroth, Victoria D., Aaron S. Kesselheim, Ameet Sarpatwari, and Ariel Dora Stern. "Lessons From The Impact of Price Regulation on The Pricing Of Anticancer Drugs in Germany." Health Affairs 39, no. 7 (July 2020): 1185–1193.
      • June 2020
      • Background Note

      Customer Management Dynamics and Cohort Analysis

      By: Elie Ofek, Barak Libai and Eitan Muller
      The digital revolution has allowed companies to amass considerable amounts of data on their customers. Using this information to generate actionable insights is fast becoming a critical skill that firms must master if they wish to effectively compete and win in today’s...  View Details
      Keywords: Cohort Analysis; Customers; data And data sets; Segmentation; Analysis; Customer Value And Value Chain
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      Ofek, Elie, Barak Libai, and Eitan Muller. "Customer Management Dynamics and Cohort Analysis." Harvard Business School Background Note 520-122, June 2020.
      • Article

      Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

      By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
      Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the...  View Details
      Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph
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      Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
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