Publications
Publications
Show Results For
- All HBS Web
(69)
- Faculty Publications (15)
Page 1 of 15
Results
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; ＂Marketing Analytics＂; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
- November–December 2022
- Article
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 difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details
- 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
- March 2022 (Revised January 2025)
- Technical Note
Prediction & Machine Learning
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
- 2021
- 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 difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details
- 2019
- Article
Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights
By: Maryam Ghasemaghaei and Goran Calic
Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details
- August 2019
- Case
Bark Gift Shop Ltd.
By: Susanna Gallani, Jan Bouwens and Peter Kroos
This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details
- 2014
- Working Paper
Tommy Koh and the U.S.–Singapore Free Trade Agreement: A Multi-Front 'Negotiation Campaign'
By: Laurence A. Green and James K. Sebenius
Complex, multiparty negotiations are often analyzed as principals negotiating through agents, as two-level games (Putnam 1988), or in coalitional terms. The relatively new concept of a "multi-front negotiation campaign" (Sebenius 2010, Lax and Sebenius, 2012) offers... View Details
- March 2006
- Module Note
Exchange Rates and Firms
By: Mihir A. Desai and Kathleen Luchs
Describes a core module in the International Finance course at Harvard Business School. The module focuses on how firms identify, measure, and manage currency exposures. The cases first introduce students to foreign exchange exposures and the tools used to manage... View Details
- March 2006
- Module Note
Exchange Rates and Global Markets
By: Mihir A. Desai and Kathleen Luchs
Describes the first module of the International Finance course at Harvard Business School. This introductory module focuses on the concepts and skills that students need throughout a course on international finance: a familiarity with exchange rates and associated... View Details
- March 2006
- Course Overview Note
International Finance: A Course Overview Note
By: Mihir A. Desai
Describes the International Finance course at Harvard Business School, which argues that the forces of globalization have fundamentally changed the scope and activities of firms, thereby altering the practice of finance within these firms. As a consequence of an... View Details
- January 1985 (Revised February 1997)
- Case
Lotus Development Corp.
Contains a description of the history and venture capital financing of Lotus Development. Focuses on issues related to the possible terms of investment in Lotus by a major venture capital firm. The pedagogic objectives in the case are: to explore the elements of the... View Details
- January 1985
- Case
Business Research Corp. (A)
Contains a description of a decision confronting an entrepreneur: which of two investment proposals should he accept to fund the creation and marketing of a database that comprises the full text of research reports produced by Wall Street investment banking firms? The... View Details
- Research Summary
Overview
My academic research centers on uncovering and closing gaps between the theory and reality of tax policy. My main contribution has been to identify and address a mismatch between the goals for taxation typically assumed in theory and the goals the public and... View Details
- Research Summary
Overview
By: Ayelet Israeli
Professor Israeli utilizes econometric methods and field experiments to study data driven decision making in marketing context. Her research focuses on data-driven marketing, with an emphasis on how businesses can leverage their own data, customer data, and market data... View Details