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  • March–April 2023
  • Article

Pricing for Heterogeneous Products: Analytics for Ticket Reselling

By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
Related
  • 14 Feb 2018
  • HBS Seminar

Ruomeng Cui, Emory University

  • May 2019
  • Supplement

Kjell and Company: Motivating Salespeople with Incentive Compensation (D)

By: Doug J. Chung
Kjell & Company was a Swedish retail electronics chain. The company’s products consisted of home electronics and accessories. The company was noted for its excellent customer service and a fair “one-for-all” HR policy. Historically, the salespeople had been compensated... View Details
Keywords: Salesforce Management; Compensation and Benefits; Motivation and Incentives; Change Management; Behavior; Electronics Industry; Sweden
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  • May 2019
  • Supplement

Kjell and Company: Motivating Salespeople with Incentive Compensation (C)

By: Doug J. Chung
Kjell & Company was a Swedish retail electronics chain. The company’s products consisted of home electronics and accessories. The company was noted for its excellent customer service and a fair “one-for-all” HR policy. Historically, the salespeople had been compensated... View Details
Keywords: Salesforce Management; Compensation and Benefits; Change Management; Behavior; Electronics Industry; Sweden
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  • Research Summary

Overview

By: Eva Ascarza
Professor Ascarza’s research primarily focuses on providing researchers and marketers a better understanding of how to manage customer retention so as to reduce churn and increase firm’s profitability. She addresses these issues by building empirical models of customer... View Details
  • January 2017 (Revised May 2019)
  • Case

Kjell and Company: Motivating Salespeople with Incentive Compensation (A)

By: Doug J. Chung
Kjell & Company was a Swedish retail electronics chain. The company’s products consisted of home electronics and accessories. The company was noted for its excellent customer service and a fair “one-for-all” HR policy. Historically, the salespeople had been compensated... View Details
Keywords: Salesforce Management; Compensation and Benefits; Change; Decision Making; Electronics Industry; Sweden
Related
  • 2021
  • Working Paper

An Empirical Study of Time Allotment and Delays in E-commerce Delivery

By: M. Balakrishnan, MoonSoo Choi and Natalie Epstein
Problem definition: We study how having more time allotted to deliver an order affects the speed of the delivery process. Furthermore, we seek to predict orders that are likely to be delayed early in the delivery process so that actions can be taken to avoid delays.... View Details
Keywords: Logistics; E-commerce; Mathematical Methods; AI and Machine Learning; Performance Productivity
Related
  • June 2017 (Revised May 2019)
  • Supplement

Kjell and Company: Motivating Salespeople with Incentive Compensation (B)

By: Doug J. Chung
Kjell & Company was a Swedish retail electronics chain founded in 1988 by brothers Marcus, Mikael and Fredrik Dahnelius. The company operated 84 stores, all company-owned, located mainly in the metropolitan areas of Sweden’s most popular cities: Stockholm, Gothemburg... View Details
Keywords: Salesforce Management; Compensation and Benefits; Motivation and Incentives; Change Management; Behavior; Electronics Industry; Sweden
Related
  • Web

Program Requirements - Doctoral

Processing (MIT 6.864) Bayesian Modeling Inference (MIT 6.435) Inference Causal Parameters (MIT 14.388) Quantitative Research Design Courses Advanced Quantitative Research... View Details
  • 16 Aug 2011
  • First Look

First Look: August 16

adapt to the behavioral biases of employees to "sort in" ("sort away") attractive (unattractive) employees; such schemes may also reduce a firm's wage bill. Consequence-Cause Matching: Looking to the Consequences of Events to View Details
Keywords: Sean Silverthorne
  • Research Summary

The Value of Family Ownership, Control, and Management

In collaboration with Professor Raphael Amit of Wharton, Belén Villalonga is investigating how family ownership, control, and management affect firm value. Their forthcoming Journal of Financial... View Details

  • Research Summary

Overview

By: Ashley V. Whillans
Engaged with field work in East Africa, South Asia, and in several large hybrid organizations in the United States, Professor Whillans places a focus on exploring questions with strong theoretical motivation in the social psychological literature and relevant... View Details
  • Web

Data Practices - Research Computing Services

Scraping Power Analysis Causal Inference Missing Data Other Data Resources Data Repositories Harvard Dataverse at IQSS Baker Library Databases Center for Geographic Analysis at Harvard Figshare Other Harvard... View Details
  • 01 Sep 2023
  • News

The Exchange: Where Ethics Meet Economics

Max Bazerman and Mike Luca (Image by John Ritter) What makes people behave the way they do—and to what degree are design choices influencing that? Associate Professor Mike Luca studies the design of online platforms, while Professor Max Bazerman’s work focuses on... View Details
Keywords: Jen McFarland Flint; Data Processing, Hosting, and Related Services; Information
  • Web

Technology & Operations Management Awards & Honors - Faculty & Research

Award at the INFORMS Workshop on Data Science for "Using Data-Mined Variables in Causal Inference Tasks: A Random Forest Approach to the Measurement Error Problem" with Mochen Yang, Gordon Burtch, and... View Details
  • Student-Profile

Mengjie "Magie" Cheng

combine causal inference and machine learning with some economics techniques and some other state-of-the-art techniques. This is why I felt the marketing program at HBS was a very good fit for me.” In... View Details
  • Student-Profile

Ta-Wei "David" Huang

management and using causal inference / machine learning tools to solve marketing problems.” It was this motivation that led him to pursue a Ph.D. Initially, David’s familiarity with HBS was limited to the... View Details
  • Web

Data Tips & Toolkits - Research Computing Services

Data Practices Data Tips & Toolkits 17ms Causal Inference R Packages causalTree, CausalImpact, Counterfactual, BayesTree, rrd, FindIt, causaldrf, uplift, Synth, matchIt, pcalg, wfe, matching, med ex, BCEE,... View Details
  • Web

Workshops & Technical Talks - Research Computing Services

data Tesseract for Optical Character Recognition (OCR) Workshop Recording (RCS) Principls of Causal Inference Workshop Slides (RCS) Databases and SQL Workshops and Tutorials Working with SQL setup... View Details
  • 02 Feb 2016
  • First Look

February 2, 2016

forthcoming Journal of Accounting Research Causal Inference in Accounting Research By: Gow, Ian D., David F. Larcker, and Peter C. Reiss Abstract—This paper examines the approaches accounting researchers use... View Details
Keywords: Sean Silverthorne