Publications

Publications

Filter Results: (207) Arrow Down

Show Results For

← Page 4 of 207 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • August 2018 (Revised April 2019)
  • Supplement

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details
Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis
Related
  • Research Summary

Overview

By: Ethan S. Bernstein
I have spent my career studying novel talent management practices and their effect on collaboration and performance. My core research focuses on two interrelated organizational trends that have become salient in the 21st century: workplace transparency (who gets to... View Details
Keywords: Privacy; Transparency; Productivity; Field Experiments; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Performance; Groups and Teams; Networks; Behavior; Social and Collaborative Networks; Satisfaction; North America; Europe; Asia; China; Japan; Latin America
  • 2025
  • Working Paper

Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Related
  • Article

Beyond Statistics: The Economic Content of Risk Scores

By: Liran Einav, Amy Finkelstein, Raymond Kluender and Paul Schrimpf
"Big data" and statistical techniques to score potential transactions have transformed insurance and credit markets. In this paper, we observe that these widely-used statistical scores summarize a much richer heterogeneity, and may be endogenous to the context in which... View Details
Keywords: Analytics and Data Science; Risk and Uncertainty; Insurance Industry
Related
  • 10 Dec 2013
  • First Look

First Look: December 10

from "real work." But when Google's people analytics team examined the value of managers, applying the same rigorous research methods the company uses in its operations, it proved the skeptics wrong. Mining data from employee... View Details
Keywords: Sean Silverthorne
  • 21 Dec 2010
  • First Look

First Look: December 21

with age. Temptation and Productivity: A Field Experiment with Children Authors:Alessandro Bucciol, Daniel Houser, and Marco Piovesan Publication:Journal of Economic Behavior and Organization (forthcoming) Abstract Substantial evidence... View Details
  • June 2018
  • Article

Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged

By: Clarence Lee, Elie Ofek and Thomas Steenburgh
We study how digital service firms can develop an active customer base, focusing on two questions. First, how does the way that customers use the service postadoption to meet their own needs (personal usage) and to interact with one another (social usage) vary across... View Details
Keywords: Customer Engagement; Adoption Routes; Word-of-Mouth; Digital Marketing; Bayesian Estimation; Customers; Communication; Consumer Behavior; Marketing; Internet and the Web; Analytics and Data Science
Related
  • 21 Oct 2014
  • First Look

First Look: October 21

  Publications October 2014 Harvard Business Review Press Aligning Strategy and Sales: The Choices, Systems, and Behaviors That Drive Effective Selling By: Cespedes, Frank V. Abstract—There are many books that provide strategy advice and... View Details
Keywords: Sean Silverthorne
  • 2016
  • Working Paper

The Impact of Supplier Inventory Service Level on Retailer Demand

By: Nathan Craig, Nicole DeHoratius and Ananth Raman
To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier's service level on demand from... View Details
Keywords: Customer Satisfaction; Forecasting and Prediction; Learning; Consumer Behavior; Service Delivery; Performance Expectations; Apparel and Accessories Industry; Service Industry
Related
  • 26 Jul 2011
  • First Look

First Look: July 26

  PublicationsPolicy Bundling to Overcome Loss Aversion: A Method for Improving Legislative Outcomes Authors:Katherine L. Milkman, Mary Carol Mazza, Lisa L. Shu, Chia-Jung Tsay, and Max H. Bazerman Publication:Organizational Behavior and... View Details
Keywords: Sean Silverthorne
  • Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Related
  • 2023
  • Article

Evaluating Explainability for Graph Neural Networks

By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Related
  • 28 May 2024
  • In Practice

Job Search Advice for a Tough Market: Think Broadly and Stay Flexible

market, some considerations remain constant: Analytical and technical skills are still important. In other research, I find that more employers are looking for what I call foundational skills. These not only include social skills, but... View Details
Keywords: by Rachel Layne
  • 26 May 2015
  • First Look

First Look: May 26

serve as the glue across functions and business units. But without clarity about strategy and the ability to articulate strategy, people can only pick up random, disconnected cues about priorities, and alignment is then hit-and-miss, especially when it comes to linking... View Details
Keywords: Sean Silverthorne
  • 29 Sep 2014
  • Research & Ideas

Why Do Outlet Stores Exist?

consumers than it did about the companies. "Companies must know something about the way we behave that causes them to adopt these retailing strategies," he says. "I look at retailing as a way to study consumer behavior... View Details
Keywords: by Michael Blanding; Apparel & Accessories; Fashion; Retail
  • 2022
  • Working Paper

The Limits of Decentralized Administrative Data Collection: Experimental Evidence from Colombia

By: Natalia Garbiras-Diaz and Tara Slough
States collect vast amounts of data for use in policymaking and public administration. To do so, central governments frequently solicit data from decentralized bureaucrats. Because central governments use these data in policymaking, decentralized bureaucrats may face... View Details
Keywords: Decentralization; Policy-making; Policy/economics; Policy Evaluation; Governance; Government Administration; Government and Politics; Government Legislation; Policy; Public Opinion; Analytics and Data Science; Latin America; South America; Colombia
Related
  • 18 Apr 2017
  • First Look

First Look at New Ideas, April 18

organizational behavior as a field of study. He was a pioneer in creating a body of work on organization design, leadership, and change in both the private and public sectors. Lawrence’s professional work was rooted in an aspiration to do... View Details
Keywords: by Sean Silverthorne
  • 07 Feb 2022
  • Research & Ideas

Digital Transformation: A New Roadmap for Success

companies. While they agreed that leaders urgently needed to expand their knowledge, they didn’t see eye to eye on what digital literacy means. A few argued that leaders should understand data analytics and AI deeply, and even learn to... View Details
Keywords: by Linda A. Hill, Ann Le Cam, Sunand Menon, and Emily Tedards
  • 20 Nov 2012
  • First Look

First Look: November 20

be complemented with quantitative analyses. The development of quantitative methods for the study of business models, however, has trailed that of their qualitative peers. In this paper, we develop an analytical framework based on the... View Details
Keywords: Sean Silverthorne
  • 13 Apr 2010
  • First Look

First Look: April 13

behavior and preferences into service cost and productivity standard metrics. Optimal Value and Growth Tilts in Long-Horizon Portfolios Authors:W. Jakub Jurkek and Luis M. Viceira Publication:Review of Finance (forthcoming) Abstract We... View Details
Keywords: Martha Lagace

Are you looking for?

→Search All HBS Web