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      • February 2021
      • Tutorial

      Getting Started in R Cloud Studio

      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
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      Farronato, Chiara, and Caleb Kwon. Getting Started in R Cloud Studio. Harvard Business School Tutorial 621-708, February 2021.
      • January 2021 (Revised January 2021)
      • Case

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Jill Avery, Ayelet Israeli and Emma von Maur
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on...  View Details
      Keywords: data; Data Analytics; Artificial Intelligence; Ai; Ai Algorithms; Ai Creativity; Fashion; Retail; Retail Analytics; Digital Marketing; E-commerce; E-commerce Strategy; Platform; Platforms; Marketing Strategy; Brands And Branding; Consumer Behavior; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; Marketing Channels; "marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; data And data Sets; Analysis; Creativity; Marketing Strategy; Brands And Branding; Consumer Behavior; Demand And Consumers; Forecasting And Prediction; online Advertising; online Technology; Mobile Technology; Fashion Industry; Retail Industry; Apparel And Accessories Industry; Consumer Products Industry; United States
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      Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised January 2021.)
      • January 2021
      • Case

      Amazon Shopper Panel: Paying Customers for Their Data

      By: Eva Ascarza and Ayelet Israeli
      This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to exlpore issues in customers’ privacy in the digital age, the value of customers’ own...  View Details
      Keywords: Data Analytics; Data Privacy; Data Management; "marketing Analytics"; Marketing Communication; Marketing Research; Data-driven Management; E-commerce; E-commerce Strategy; Ethical Decision Making; Crm; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; data And data Sets; Management; Customer Relationship Management; Ethics; Retail Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021.
      • January 2021 (Revised January 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; Sales; Online Channel; Retail Analytics; Retail; Retailing Industry; data; Data Sharing; Bricks And Mortar; Ecommerce; data And data Sets; Sales; Retail Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (A): Estimating Sales." Harvard Business School Spreadsheet Supplement 521-712, January 2021. (Revised January 2021.)
      • 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; data And data Sets; Retention; Retail Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (B): Optimizing Assortment for a New Retailer." Harvard Business School Spreadsheet Supplement 521-713, January 2021.
      • January 2021 (Revised January 2021)
      • Supplement

      E-Commerce Analytics for CPG Firms (C): Free Delivery Terms

      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; Data Analysis; Data Analytics; Data Sharing; Cpg; Consumer Packaged Goods (cpg); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Grocery Delivery; Margins; Retention; data And data Sets; Retention; Retail Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (C): Free Delivery Terms." Harvard Business School Spreadsheet Supplement 521-714, January 2021. (Revised January 2021.)
      • January 2021
      • Article

      Machine Learning for Pattern Discovery in Management Research

      By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect...  View Details
      Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; Roc Curve; Confusion Matrix; Partial Dependence Plots
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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
      • December 2020
      • Case

      Komatsu and Smart Construction

      By: Rajiv Lal, David J. Collis and Akiko Saito
      Komatsu, Japan's leading construction equipment manufacturer, is considering investing in a digital platform "Smart Construction" that will digitise the entire work process on a construction site, allowing for substantial reductions in cost and time while improving...  View Details
      Keywords: Platform; Digital Business; Construction; Business Model; Strategy; Technology Adoption; Construction Industry; Japan
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      Lal, Rajiv, David J. Collis, and Akiko Saito. "Komatsu and Smart Construction." Harvard Business School Case 521-042, December 2020.
      • Article

      Soul and Machine (Learning)

      By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
      Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to...  View Details
      Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing
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      Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
      • Article

      Healthy Buildings in 2070

      By: John D. Macomber and Joseph G. Allen
      Fifty years seems a very long time in the future for most industries. Not so in buildings and real estate; built structures routinely last decades if not hundreds of years, as long as they are economically competitive. Any discussion of the 50-year future has to...  View Details
      Keywords: Health & Wellness; Real Estate; Architectural Innovation; Public Health; Health; Buildings And Facilities; Well-being
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      Macomber, John D., and Joseph G. Allen. "Healthy Buildings in 2070." The Bridge 50, no. S (Winter 2020): 11–14. (Special 50th Anniversary Issue edited by Ronald M. Latanision.)
      • 2020
      • Working Paper

      Biased Sampling of Early Users and the Direction of Startup Innovation

      By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
      Using data from a prominent online platform for launching new digital products, we document that the composition of the platform's ‘beta testers’ on the day a new product is launched has a systematic and persistent impact on the venture's success. Specifically, we use...  View Details
      Keywords: Online Platforms; User Research; Market Platforms; Business Startups; Product Launch; Gender
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      Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Biased Sampling of Early Users and the Direction of Startup Innovation." Harvard Business School Working Paper, No. 21-059, November 2020.
      • 2020
      • Working Paper

      Flight to Safety: How Economic Downturns Affect Talent Flows to Startups

      By: Shai Benjamin Bernstein, Richard Townsend and Ting Xu
      This paper investigates how economic downturns affect the flow of human capital to startups. Using proprietary data from AngelList Talent, we study how individuals’ online job searches and applications changed during the emergence of the COVID-19 crisis. We find that...  View Details
      Keywords: Startup Labor Market; Flight To Safety; Covid-19; Recession; Business Startups; Human Capital; Business Cycles; Health Pandemics
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      Bernstein, Shai Benjamin, Richard Townsend, and Ting Xu. "Flight to Safety: How Economic Downturns Affect Talent Flows to Startups." Harvard Business School Working Paper, No. 21-045, 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).
      • August 2020
      • Supplement

      Migros Turkey: Scaling Online Operations (B)

      By: Antonio Moreno and Gamze Yucaoglu
      The case opens in February 2020 as Ozgur Tort and Mustafa Bartin, CEO and chief large-format and online retail officer of Migros Ticaret A.S. (Migros), Turkey’s oldest and one of its largest supermarket chains, are looking over the results of the fulfillment pilot the...  View Details
      Keywords: Grocery; Business Model; Strategy; Technology Platform; Information Technology; Technology Adoption; Value Creation; Globalization; Competition; Expansion; Logistics; Profit; Resource Allocation; Corporate Strategy; Retail Industry; Turkey
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      Moreno, Antonio, and Gamze Yucaoglu. "Migros Turkey: Scaling Online Operations (B)." Harvard Business School Supplement 621-027, 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.
      • 2020
      • Working Paper

      The Impact of Price on Firm Reputation

      By: Michael Luca and Oren Reshef
      While a business's reputation can impact its pricing, prices can also impact its reputation. To explore the effect of prices on reputation, we investigate daily data on menu prices and online ratings from a large rating and ordering platform. We find that a price...  View Details
      Keywords: Pricing; Business Ventures; Reputation; Price; Consumer Behavior; Analysis
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      Luca, Michael, and Oren Reshef. "The Impact of Price on Firm Reputation." Harvard Business School Working Paper, No. 20-128, June 2020. (Revised December 2020.)
      • 2020
      • Working Paper

      Digitization and the Demand for Physical Works: Evidence from the Google Books Project

      By: Abhishek Nagaraj and Imke Reimers
      The digital era promised to deliver a centralized repository of all pre-existing knowledge through mass digitization. However, concerns about cannibalizing demand for physical works have led publishers and authors to block the realization of this vision. We investigate...  View Details
      Keywords: Digitization; Copyright; Books
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      Nagaraj, Abhishek, and Imke Reimers. "Digitization and the Demand for Physical Works: Evidence from the Google Books Project." Working Paper, June 2020.
      • April 2020 (Revised August 2020)
      • Case

      CredEx Fintech: Business Model Transformation During the Digital Era

      By: Laura Huang, Raphael Amit and Xu Han
      Founded in 2010, CredEx has been a fast and constant innovator in the microfinance industry in China. Tang Xia, CEO and co-founder of CredEx, has led the company through a number of profound business model innovations in response to external environment changes, which...  View Details
      Keywords: Digitization; Fintech; Business Model; Innovation And Invention; Transformation; Microfinance; Organizational Change And Adaptation
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      Huang, Laura, Raphael Amit, and Xu Han. "CredEx Fintech: Business Model Transformation During the Digital Era." Harvard Business School Case 420-080, April 2020. (Revised August 2020.)
      • 2020
      • Working Paper

      Hunting for Talent: Firm-Driven Labor Market Search in America

      By: Rembrand Koning, Sharique Hasan and Ines Black
      Research suggests that increased digitization of the labor market combined with the changing demand for skill has altered the job-search process. In this article, we argue that these changes have led to increased investments in firm-driven search for talent (or...  View Details
      Keywords: Hiring; Referrals; Outbound Recruiting; Labor Markets; Selection And Staffing; Networks; Recruitment; Strategy; United States
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      Koning, Rembrand, Sharique Hasan, and Ines Black. "Hunting for Talent: Firm-Driven Labor Market Search in America." SSRN Working Paper Series, No. 3576498, April 2020.
      • 2020
      • Working Paper

      Working (From Home) During a Crisis: Online Social Contributions by Workers During the Coronavirus Shock

      By: Prithwiraj Choudhury, Wesley W. Koo and Xina Li
      Prior research has documented that during mortality-related crises workers face psychic costs and are motivated to make social contributions. In addition, management practices that encourage workers to make social contributions during a crisis create value for firms....  View Details
      Keywords: Crisis; Social Contributions; Work From Home (wfh); Cannot Work From Home (cwfh); Social Distancing; Online Communities; Coronavirus; Covid-19; Health Pandemics; Employees; Working Conditions; online Technology; Crisis Management
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      Choudhury, Prithwiraj, Wesley W. Koo, and Xina Li. "Working (From Home) During a Crisis: Online Social Contributions by Workers During the Coronavirus Shock." Harvard Business School Working Paper, No. 20-096, March 2020. (Revised April 2020.)
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