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      • Faculty Publications  (979)

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      • May 2021
      • Article

      Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency

      By: J. Hart, K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels and S.D. Halpern
      Background: Clinicians’ use of choice architecture, or how they present options, systematically influences the choices made by patients and their surrogate decision makers. However, clinicians may incompletely understand this influence.... View Details
      Keywords: Choice Architecture; Health Care and Treatment; Interpersonal Communication; Decision Choices and Conditions; Competency and Skills
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      Hart, J., K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels, and S.D. Halpern. "Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency." BMJ Quality & Safety 30, no. 5 (May 2021).
      • Article

      Joy and Rigor in Behavioral Science

      By: Hanne K. Collins, Ashley V. Whillans and Leslie K. John
      In the past decade, behavioral science has seen the introduction of beneficial reforms to reduce false positive results. Serving as the motivational backdrop for the present research, we wondered whether these reforms might have unintended negative consequences on... View Details
      Keywords: Open Science; Pre-registration; Exploration; Confirmation; False Positives; Career Satisfaction; Science; Research; Personal Development and Career; Satisfaction; Diversity
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      Collins, Hanne K., Ashley V. Whillans, and Leslie K. John. "Joy and Rigor in Behavioral Science." Organizational Behavior and Human Decision Processes 164 (May 2021): 179–191.
      • May 2021
      • Article

      The Firm Next Door: Using Satellite Images to Study Local Information Advantage

      By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong
      We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level... View Details
      Keywords: Satellite Images; Store-level Performance; Institutional Investors; Local Advantage; Overweighting; Processing Costs; Alternative Data; Big Data; Emerging Technologies; Information; Quality; Institutional Investing; Decision Making; Behavioral Finance; Analytics and Data Science
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      Kang, Jung Koo, Lorien Stice-Lawrence, and Forester Wong. "The Firm Next Door: Using Satellite Images to Study Local Information Advantage." Journal of Accounting Research 59, no. 2 (May 2021): 713–750.
      • May 2021
      • Article

      Value-Based Healthcare in Urology: A Collaborative Review

      By: Chanan Reitblat, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh and Boris Gershman
      Context:
      In response to growing concerns over rising costs and major variation in quality, improving value for patients has been proposed as a fundamentally new strategy for how healthcare should be delivered, measured, and... View Details
      Keywords: Value-based Healthcare; Integrated Practice Units; Outcome Measurement; Time-Driven Activity-Based Costing; Health Care and Treatment; Value; Cost Management; Strategy; Outcome or Result; Measurement and Metrics
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      Reitblat, Chanan, Paul A. Bain, Michael E. Porter, David N. Bernstein, Thomas W. Feeley, Markus Graefen, Santosh Iyer, Matthew J. Resnick, C.J. Stimson, Quoc-Dien Trinh, and Boris Gershman. "Value-Based Healthcare in Urology: A Collaborative Review." European Urology 79, no. 5 (May 2021): 571–585.
      • 2020
      • Working Paper

      Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective

      By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang
      We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
      Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
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      Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.
      • April 2021
      • Case

      Glass-Shattering Leaders: Ros Atkins

      By: Boris Groysberg and Colleen Ammerman
      Ros Atkins launched the 50:50 Project on a BBC news program he anchored, deciding with his team to start tracking the gender of the contributors and experts featured on the show. Before long, it was clear that monitoring the data led to increased awareness of a gender... View Details
      Keywords: Gender Equality; Allyship; Representation; Leadership; Gender; Equality and Inequality; Media; Analytics and Data Science
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      Groysberg, Boris, and Colleen Ammerman. "Glass-Shattering Leaders: Ros Atkins." Harvard Business School Case 421-075, April 2021.
      • April 2021
      • Case

      Codecademy: Where to Next?

      By: Jeffrey F. Rayport, Max Mailman and Sarah Ascherman
      In March 2020, Zach Sims, co-founder and CEO of online education platform Codecademy, prepared for a meeting with his Chief of Staff Kunal Ahuja to discuss the company’s goals. Codecademy billed itself as the largest online resource for computer science literacy and... View Details
      Keywords: Monetization Strategy; Business Model; Change Management; Venture Capital; Leading Change; Growth and Development Strategy; Growth Management; Management Teams; Marketing Channels; Product Marketing; Network Effects; Product Development; Organizational Change and Adaptation; Strategic Planning; Internet and the Web; Digital Platforms; United States
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      Rayport, Jeffrey F., Max Mailman, and Sarah Ascherman. "Codecademy: Where to Next?" Harvard Business School Case 821-093, April 2021.
      • April 2021 (Revised July 2021)
      • Case

      StockX: The Stock Market of Things (Abridged)

      By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
      Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
      Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Apparel and Accessories Industry; North and Central America; United States; Michigan; Detroit
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      Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things (Abridged)." Harvard Business School Case 621-107, April 2021. (Revised July 2021.)
      • 2021
      • Working Paper

      Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage

      By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
      How do you measure the value of a commodity that transacts at a price of zero from an economic standpoint? This study examines the potential for and extent of omission and misattribution in standard approaches to economic accounting with regards to open source... View Details
      Keywords: Server Software; Open Source Distribution; Applications and Software; Analytics and Data Science; Economics; Value Creation; Measurement and Metrics
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      Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage." NBER Working Paper Series, No. 28738, April 2021.
      • March 2021
      • Supplement

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. 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... View Details
      Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
      • 2021
      • Working Paper

      Time Dependency, Data Flow, and Competitive Advantage

      By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
      Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
      Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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      Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
      • March 2021 (Revised December 2021)
      • Case

      Cedar Environmental: Innovation vs. Corruption in Lebanon?

      By: Nien-hê Hsieh and Youssef Abdel Aal
      The case follows Ziad Abi Chaker, founder and CEO of Cedar Environmental, as he weighs options for how to grow the company in the face of growing economic and political instability in Lebanon in 2019.

      Founded after the Lebanese civil war, Cedar... View Details
      Keywords: Waste Management; Recycling; Corruption; Leadership & Corporate Accountability; Business And Government; Social Entrepreneurship; Environmental Sustainability; Green Technology; Pollution; Entrepreneurship; Business and Government Relations; Crime and Corruption; Technological Innovation; Growth and Development Strategy; Business Strategy; Expansion; Corporate Accountability; Green Technology Industry; Middle East; Lebanon
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      Hsieh, Nien-hê, and Youssef Abdel Aal. "Cedar Environmental: Innovation vs. Corruption in Lebanon?" Harvard Business School Case 321-114, March 2021. (Revised December 2021.)
      • March 2021 (Revised September 2021)
      • Case

      Applied: Using Behavioral Science to Debias Hiring

      By: Ashley Whillans and Jeff Polzer
      The UK government’s Behavioural Insights Team (BIT) needed to hire a new associate and were trying to increase the diversity of their job candidates. This decision was based on academic research showing that recruiters and managers often fell into common traps like... View Details
      Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Diversity; Prejudice and Bias; Information Technology; Recruitment
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      Whillans, Ashley, and Jeff Polzer. "Applied: Using Behavioral Science to Debias Hiring." Harvard Business School Case 921-046, March 2021. (Revised September 2021.) (https://www.beapplied.com/.)
      • March 2021
      • Supplement

      Applied: Using Behavioral Science to Debias Hiring (B)

      By: Ashley Whillans and Jeff Polzer
      At the end of 2018, Applied faced questions of stakeholder management and scale. Glazebrook wanted clients to get rid of CVs altogether. To do this, they would have to help hiring managers and recruiters easily build task-based assessments of the skills that their... View Details
      Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Prejudice and Bias; Information Technology; Competency and Skills
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      Whillans, Ashley, and Jeff Polzer. "Applied: Using Behavioral Science to Debias Hiring (B)." Harvard Business School Supplement 921-047, March 2021.
      • March 2021 (Revised June 2022)
      • Case

      James Bryant Conant: Changing the World

      By: Robert Simons and Shirley Sun
      This case traces the rise of James Conant from a working-class neighborhood in Boston to president of Harvard University. The case describes how Conant, as a young man interested in chemistry and physics, embarks on studies to build his academic credentials and the... View Details
      Keywords: Education; Science; Higher Education; Mission and Purpose; Research; Values and Beliefs; Personal Characteristics; Work-Life Balance; Personal Development and Career; Education Industry; Boston
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      Simons, Robert, and Shirley Sun. "James Bryant Conant: Changing the World." Harvard Business School Case 121-068, March 2021. (Revised June 2022.)
      • March 2021
      • Article

      Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic

      By: Ashley V. Whillans, Leslie Perlow and Aurora Turek
      Past research has focused on understanding the characteristics of work that are fully virtual or fully collocated. The present study seeks to expand our understanding of team work by studying knowledge workers' experiences as they were suddenly forced to transition to... View Details
      Keywords: Team Work; Activities; Virtual Work; Digital Technologies; Groups and Teams; Health Pandemics; Internet and the Web; Adaptation
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      Whillans, Ashley V., Leslie Perlow, and Aurora Turek. "Experimenting During the Shift to Virtual Team Work: Learnings from How Teams Adapted Their Activities During the COVID-19 Pandemic." Information and Organization 31, no. 1 (March 2021).
      • 2022
      • Article

      Gender Inequality in Research Productivity During the COVID-19 Pandemic

      By: Ruomeng Cui, Hao Ding and Feng Zhu
      We study the disproportionate impact of the lockdown as a result of the COVID-19 outbreak on female and male academics' research productivity in social science. The lockdown has caused substantial disruptions to academic activities, requiring people to work from home.... View Details
      Keywords: Gender Inequality; Research Productivity; Telecommuting; COVID-19 Pandemic; Research; Performance Productivity; Gender; Equality and Inequality; Health Pandemics
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      Cui, Ruomeng, Hao Ding, and Feng Zhu. "Gender Inequality in Research Productivity During the COVID-19 Pandemic." Manufacturing & Service Operations Management 24, no. 2 (March–April 2022): 707–726.
      • February 2021
      • Tutorial

      Getting Started in RStudio Cloud

      By: Chiara Farronato and Caleb Kwon
      This video provides an introduction to the free programming language R using an online cloud version of RStudio, which is the most popular editor and interface for writing and executing R code. The video begins by providing a brief background of R and RStudio and... View Details
      Keywords: Data Analysis; Data Analytics; Experiment; Experimental Design; Analytics and Data Science; Analysis; Applications and Software
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      Farronato, Chiara, and Caleb Kwon. Getting Started in RStudio Cloud. Harvard Business School Tutorial 621-708, February 2021.
      • February 2021
      • Tutorial

      T-tests: Theory and Practice

      By: Michael Parzen, Natalie Epstein, Chiara Farronato and Michael Toffel
      This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
      Keywords: Data Analysis; Data Analytics; Experiment Design; Experimentation; Analytics and Data Science; Analysis
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      Parzen, Michael, Natalie Epstein, Chiara Farronato, and Michael Toffel. T-tests: Theory and Practice. Harvard Business School Tutorial 621-707, February 2021.
      • February 2021 (Revised June 2021)
      • Case

      Bairong and the Promise of Big Data

      By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist
      Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details
      Keywords: Fintech; Big Data; Artificial Intelligence; Credit Scoring; Finance; Credit; Business Startups; AI and Machine Learning; Analytics and Data Science; China
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      Cohen, Lauren, Xiaoyan Zhang, and Spencer C.N. Hagist. "Bairong and the Promise of Big Data." Harvard Business School Case 221-068, February 2021. (Revised June 2021.)
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