Publications

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March 2018
Case

TrustSphere: Building a Market for Relationship Analytics

By: Boris Groysberg and Katherine Connolly Baden

Manish Goel was the CEO of TrustSphere, a seven-year-old company in the data analytics industry that focused squarely on relationship analytics, a space in which TrustSphere was pioneering a unique technology and solutions in the areas of sales, risk, and people... View Details

Keywords: Data Analytics; People Analytics; Talent Management; Human Resources; Networks; Relationships; Analysis; Employee Relationship Management; Core Relationships; Applications and Software; Communication; Technology Industry; Singapore

05 Dec 2007
Sharpening Your Skills

Sharpening Your Skills: Managing Marketing

merchant's direct channel sales after she opens a retail store in the area. The study used a proprietary longitudinal data set from a multichannel retailer to understand what happens and to probe the implications for channel View Details

2017
Working Paper

Discretionary Task Ordering: Queue Management in Radiological Services

By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats

Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details

SSRN

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

Keywords: Channel Management; Pricing; Pricing Policies; Online Marketing; E-commerce; Analytics; Econometrics; Field Experiments; Data Analytics; Artificial Intelligence; Value Of Data

April 2014 (Revised March 2015)
Case

GE and the Industrial Internet

By: Karim R. Lakhani, Marco Iansiti and Kerry Herman

CEO Jeff Immelt considers whether GE is moving fast enough on its new Industrial Internet initiative. The undertaking includes building out an Industrial Internet, connecting machines and devices, collecting their data and operations, and providing services to clients... View Details

1979
Chapter

Research Methods and Data Analysis: The Challenge of Knowing How to Do What About Why

By: T. M. Amabile and W. DeJong

Keywords: Mathematical Methods; Knowledge Acquisition; Knowledge Management; Knowledge Use and Leverage

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; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management

2020
Working Paper

Machine Learning for Pattern Discovery in Management Research

Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details

Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis

SSRN

2016
Book

Managing in the Gray: Five Timeless Questions for Resolving Your Toughest Problems at Work

By: Joseph L. Badaracco

Part of a manager's job is making tough calls, and the hardest challenge can be resolving "gray area” problems—situations in which analysis of the numbers, facts, and data fails to provide a clear answer. Gray areas test not only managers’ skills but also their... View Details

Keywords: Business or Company Management; Decision Choices and Conditions

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January 2022
Article

Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems

By: David R. Clough and Andy Wu

Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details

Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry

May 2013
Case

Launching Krispy Natural: Cracking the Product Management Code

By: Frank V. Cespedes and Heather Beckham

Pemberton Products is a U.S. market leader in the cookie and bakery snacks segment of the sweet snack market. Looking to expand into the salty snack market, the company acquires Krispy Inc., a maker of salty snack crackers located in the southeastern U.S. To compete... View Details

Keywords: Analytics and Data Science; Competition; Organizational Culture; Management Teams; Brands and Branding; Expansion; Marketing Strategy; Product Launch; Acquisition; Food and Beverage Industry; Ohio; United States

17 Feb 2003
Research & Ideas

Rating Fund Managers by the Company They Keep

sets affected the way fund managers can be evaluated now and in the future? Can the data sets help fund managers make investment decisions? A: In the last five years there has... View Details

Keywords: by Ann Cullen

Teaching Interest

Managing the Future of Work (MBA Education—Elective Curriculum)

By: Christopher T. Stanton

The nature and scope of work is changing rapidly, creating massive business challenges in the shadow of broader political and social shifts. HBS launched a major initiative in 2017 on Managing the Future of Work to define these workplace issues and... View Details

March–April 2024
Article

How Companies Should Weigh in on a Controversy: A Better Approach to Stakeholder Management

By: David M. Bersoff, Sandra J. Sucher and Peter Tufano

Executives need guidance about managing their organizations’ engagement with societal issues—including hot-button topics such as gender, climate, and racial discrimination. Success in this realm does not mean avoiding public controversy or achieving unanimous support... View Details

Keywords: Values and Beliefs; Social Issues; Business and Stakeholder Relations; Judgments; Management Practices and Processes

September 2020 (Revised July 2022)
Technical Note

Algorithmic Bias in Marketing

By: Ayelet Israeli and Eva Ascarza

This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details

06 Jan 2011
What Do You Think?

How Should Management Deal With “Anonymous”?

individuals using the tools?" Rather the problem for many of you is management itself, ranging from lack of transparency (Shantha Yahanpath. Bruce Watson) to a failure to support "whistle blowing" (Ratnaja Gogula), as well... View Details

Keywords: by James L. Heskett

January 2010 (Revised February 2010)
Case

IBM Retail Business Assessment at Dillard's, Inc.: Managing Staffing Levels to Improve Conversion

This case illustrates the challenges associated with matching staffing levels with variable workload in retail stores and highlights how decisions related to staffing and scheduling affect operational performance and the quality of labor at the stores. The case... View Details

Keywords: Customer Satisfaction; Employees; Market Transactions; Service Delivery; Service Operations; Performance Improvement; Retail Industry