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      • March 23, 2021
      • Article

      A Multicountry Perspective on Gender Differences in Time Use During COVID-19

      By: Ashley V. Whillans, Laura M. Giurge and Ayse Yemiscigil (shared authorship)
      The COVID-19 pandemic has fundamentally altered how people spend time, with possible consequences for subjective well-being. Using diverse samples of remote workers from the United States, Canada, Denmark, Brazil, and Spain (n = 31,141), following a preregistered...  View Details
      Keywords: Time; Subjective Well-being; Covid-19; Health Pandemics; Gender; Time Management; Well-being; Work-life Balance; Global Range
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      Whillans, Ashley V., Laura M. Giurge, and Ayse Yemiscigil (shared authorship). "A Multicountry Perspective on Gender Differences in Time Use During COVID-19." Proceedings of the National Academy of Sciences 118, no. 12 (March 23, 2021).
      • February 2021 (Revised February 2021)
      • Background Note

      eGrocery and the Role of Data for CPG Firms

      By: Ayelet Israeli, Fedor (Ted) Lisitsyn and Mark A. Irwin
      This notes provides information about the eGrocery industry and how traditional CPG companies handle this channel and potential data. It is recommended to use together with a series of exercises entitled: E-Commerce Analytics for CPG Firms (A), (B), and (C).  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; Optimization; data And data Sets; Analysis; Customer Value And Value Chain; Marketing Channels; Retail Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, Fedor (Ted) Lisitsyn, and Mark A. Irwin. "eGrocery and the Role of Data for CPG Firms." Harvard Business School Background Note 521-077, February 2021. (Revised February 2021.)
      • 2021
      • Working Paper

      Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer

      By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
      We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log-linear function of a valuation (market value-to-accounting) multiple and the expected growth in the...  View Details
      Keywords: Expected Returns; Present Value; Investment Return; Accounting; Valuation; Information; Framework
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      Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer." Harvard Business School Working Paper, No. 21-081, January 2021.
      • 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; Sales; Online Channel; Retail Analytics; Retail; Retailing Industry; data; Data Sharing; Bricks And Mortar; Ecommerce; Direct-to-consumer; Dtc; 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 Exercise 521-078, January 2021. (Revised March 2021.)
      • 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; 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 March 2021.)
      • January 2021
      • Exercise

      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 Analytics; Retail; Retailing Industry; data; Data Sharing; Ecommerce; Crm; Loyalty Management; Assortment Planning; Assortment Optimization; Lifetime Value (ltv); data And data Sets; Analysis; 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 Exercise 521-079, 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 March 2021)
      • Exercise

      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; 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 Exercise 521-080, January 2021. (Revised March 2021.)
      • January 2021 (Revised March 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 March 2021.)
      • 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 (Revised February 2021)
      • Case

      IBM Watson at MD Anderson Cancer Center

      By: Shane Greenstein, Mel Martin and Sarkis Agaian
      After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology...  View Details
      Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use And Leverage; Operations; Failure; Technology; Information Technology; Software; Health Care And Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
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      Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised February 2021.)
      • December 2020
      • Case

      VIA Science (A)

      By: Juan Alcacer, Rembrand Koning, Annelena Lobb and Kerry Herman
      Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the...  View Details
      Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Markets; Telecommunications Industry; Utilities Industry; United States; Japan
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      Alcacer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (A)." Harvard Business School Case 721-367, December 2020.
      • December 2020
      • Supplement

      VIA Sciences (B)

      By: Juan Alcacer, Rembrand Koning, Annelena Lobb and Kerry Herman
      Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the...  View Details
      Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Telecommunications Industry; Utilities Industry; United States; Japan
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      Alcacer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Sciences (B)." Harvard Business School Supplement 721-368, December 2020.
      • September 2020
      • Case

      True North: Pioneering Analytics, Algorithms and Artificial Intelligence

      By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer
      True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented...  View Details
      Keywords: Artificial Intelligence; Technology; Management; Operations; Organizations; Leadership; Innovation And Invention; Business Model; Computer Industry; Technology Industry
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      Lakhani, Karim R., Kairavi Dey, and Hannah Mayer. "True North: Pioneering Analytics, Algorithms and Artificial Intelligence." Harvard Business School Case 621-042, September 2020.
      • September 2020 (Revised November 2020)
      • Case

      Student Success at Georgia State University (A)

      By: Michael W. Toffel, Robin Mendelson and Julia Kelley
      Georgia State University had developed a reputation for driving student success by nearly doubling its graduation rate for students of all racial, ethnic, and socioeconomic backgrounds. It did so while growing its student body and the proportion of Black/African...  View Details
      Keywords: Education; Higher Education; Learning; Curriculum And Courses; Demographics; Diversity; Ethnicity; Income; Race; Leadership; Goals And Objectives; Measurement And Metrics; Operations; Organizations; Mission And Purpose; Organizational Culture; Outcome Or Result; Performance; Performance Effectiveness; Performance Evaluation; Service Operations; Performance Improvement; Planning; Strategic Planning; Social Enterprise; Nonprofit Organizations; Social Issues; Wealth And Poverty; Equality And Inequality; Technology; Technology Platform; Education Industry; Atlanta
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      Toffel, Michael W., Robin Mendelson, and Julia Kelley. "Student Success at Georgia State University (A)." Harvard Business School Case 621-006, September 2020. (Revised November 2020.)
      • 2020
      • Working Paper

      Uncovering Inequalities in Time-Use and Well-Being during COVID-19: A Multi-Country Investigation

      By: Laura M. Giurge, Ayse Yemiscigil, Joseph Sherlock and Ashley V. Whillans
      The COVID-19 global pandemic continues to alter how people spend their time, with possible downstream consequences for subjective well-being. Using diverse samples from the United States, Canada, Denmark, Brazil, and Spain (n = 30,018) and following a preregistered...  View Details
      Keywords: Time-use; Subjective Well-being; Covid-19; Health Pandemics; Work-life Balance; Gender; Equality And Inequality
      Citation
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      Giurge, Laura M., Ayse Yemiscigil, Joseph Sherlock, and Ashley V. Whillans. "Uncovering Inequalities in Time-Use and Well-Being during COVID-19: A Multi-Country Investigation." Harvard Business School Working Paper, No. 21-037, September 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.
      • 2021
      • Working Paper

      The Project on Impact Investments' Impact Investment Database

      By: M. Diane Burton, Shawn Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Josh Lerner, Fanele Mashwama, Yue (Cynthia) Xu and T. Robert Zochowski
      Impact investing has grown significantly over the past 15 years. From a niche investing segment with only $25 billion AUM in 2013 (WEF 2013), it experienced double-digit growth and developed into a market with an estimated $502 billion AUM (Mudaliapar and Dithrich...  View Details
      Keywords: Impact Investing; Investment; data And data Sets; Analysis
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      Burton, M. Diane, Shawn Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Josh Lerner, Fanele Mashwama, Yue (Cynthia) Xu, and T. Robert Zochowski. "The Project on Impact Investments' Impact Investment Database." Harvard Business School Working Paper, No. 20-117, May 2020. (Revised February 2021.)
      • April 2020
      • Case

      Ment.io: Knowledge Analytics for Team Decision Making

      By: Yael Grushka-Cockayne, Jeffrey T. Polzer, Susie L. Ma and Shlomi Pasternak
      Ment.io was a software platform that used proprietary data analytics technology to help organizations make informed and transparent decisions based on team input. Ment was born out of founder Joab Rosenberg’s frustration that, while organizations collected ever...  View Details
      Keywords: Decision Making; Technology; Knowledge; Knowledge Acquisition; Knowledge Management; Operations; Information Management; Product; Product Development; Entrepreneurship; Business Startups; Communications Industry; Information Industry; Information Technology Industry; Web Services Industry; Middle East; Israel
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      Grushka-Cockayne, Yael, Jeffrey T. Polzer, Susie L. Ma, and Shlomi Pasternak. "Ment.io: Knowledge Analytics for Team Decision Making." Harvard Business School Case 420-078, April 2020.
      • March 2020
      • Supplement

      People Analytics at Teach For America (B)

      By: Jeffrey T. Polzer and Julia Kelley
      This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data.  View Details
      Keywords: analytics; Human Resource Management; data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; data And data Sets; Forecasting And Prediction; Recruitment; Selection And Staffing; Talent And Talent Management
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      Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
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      Harvard business analytics program: narrowing a gap in the big data age | Harvard Business School Digital Initiative
      We're Thinking About... Disinformation Reality Machine Learning Curve Climate Disruption New Tech Makers Industry Transformations Society Meets Tech...
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