Publications

Publications

Filter Results: (1,045) Arrow Down
Filter Results: (1,045) Arrow Down Arrow Up

Show Results For

Show Results For

← Page 28 of 1,045 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • February 2022 (Revised January 2024)
  • Supplement

Winning Business at Russell Reynolds (C)

By: Ethan Bernstein and Cara Mazzucco
In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details
Keywords: Restructuring; Talent and Talent Management; Compensation and Benefits; Growth and Development Strategy; Organizational Change and Adaptation; Organizational Culture; Performance Evaluation; Motivation and Incentives; Consulting Industry
Related
  • 23 Aug 2006
  • Op-Ed

The Real Wal-Mart Effect

books that purport to be balanced and coolly analytical raise questions about the company's economic impact. A case in point is Charles Fishman's The Wal-Mart Effect, which describes the company as having a "decidedly mixed economic... View Details
Keywords: by Pankaj Ghemawat & Ken A. Mark; Retail
  • 13 Nov 2019
  • Research & Ideas

Don't Turn Your Marketing Function Over to AI Just Yet

learning to gain new knowledge about current and potential market segments. “It might be that people on the bus use their cell phones more,” Amano posits, “so they just tend to buy cell phones more often.” Personalization vs. privacy Managers who implement marketing... View Details
Keywords: by Kristen Senz
  • Research Summary

Research Summaries

Sameer's research examines the dynamics of social networks inside organizations and their consequences for individual attainment and organizational success.  His research encompasses three broad streams of activity.


Social Capital... View Details

  • August 2023
  • Case

Beamery: Using Skills and AI to Modernize HR

By: Boris Groysberg, Alexis Lefort, Susan Pinckney and Carolina Bartunek
Unicorn human relationships startup Beamery evaluates it's growth versus depth strategy as its strategic partners and customers could become future competitors in a quickly changing AI based human resources and talent management industry View Details
Keywords: Acquisition; Business Growth and Maturation; Business Startups; Competency and Skills; Experience and Expertise; Talent and Talent Management; Customers; Nationality; Learning; Entrepreneurship; Employee Relationship Management; Recruitment; Retention; Selection and Staffing; Values and Beliefs; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Applications and Software; Disruptive Innovation; Technological Innovation; Job Offer; Job Search; Job Design and Levels; Employment; Human Capital; Europe; United Kingdom; United States
Related
  • 23 May 2012
  • Research & Ideas

Five Ways to Make Your Company More Innovative

data-driven, fact-based, analytical decision-making. The problem is that data are only available about the past. If you're trying to be innovative, and you have this data-driven mindset, you can't go forward. So experimenting essentially... View Details
Keywords: by Garry Emmons, Julia Hanna & Roger Thompson
  • Research Summary

Overview

By: Matthew C. Weinzierl

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

Supply Chain Inventory Planning

My work studies management decision-making in demand and supply planning contexts with a focus on forecasting and inventory planning decisions.  I examine these decision-making processes from both a supply chain (i.e. across firm) and an... View Details

  • Research Summary

Capitalism as a System of Governance

My research interest is in further exploration of the analytic utility of an original conception of capitalism as an indirect, three level system of governance for the economic relationships within political entities, and mostly within nation states. This three level... View Details
  • 06 Oct 2011
  • What Do You Think?

How Will the ‘Moneyball Generation’ Influence Management?

Summing Up Should "Moneyball Analytics" Play a Greater Role in Preparation for Management? There was general agreement among respondents to this month's column that we will see a growing emphasis on analytics among managers as... View Details
Keywords: by James Heskett
  • July 2024
  • Technical Note

Introduction to SQL in Python

By: Michael Parzen and Jo Ellery
This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
Keywords: Analytics and Data Science
Related
  • June 2022 (Revised January 2025)
  • Technical Note

Causal Inference

By: Iavor I Bojinov, Michael Parzen and Paul Hamilton
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details
Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science
Related
  • October 2017
  • Case

Quantopian: A New Model for Active Management

By: Sara Fleiss, Adi Sunderam, Luis M. Viceira and Caitlin Carmichael
Keywords: Big Data; Hedge Fund; Crowdsourcing; Investment Fund; Quantitative Hedge Fun; Algorithmic Data; Analytics and Data Science
Related
  • Article

Selecting the Right Growth Metrics: Fewer but Better

By: Leonard A. Schlesinger
Keywords: Supply Chains; Big Data; Corporations; Franchising; Performance Metrics; Analytics and Data Science
Related
  • Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
Related
  • November 28, 2017
  • Editorial

Active Investing v.2.0

By: Gabriel Karageorgiou and George Serafeim
Keywords: Investment; Investing; Technology; Big Data; Quantitative Analysis; ESG; ESG (Environmental, Social, Governance) Performance; Sustainability; Analytics and Data Science
Related
  • May–June 2025
  • Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods; Analytics and Data Science
Related
  • 2024
  • Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel
This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details
Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods
Related
  • May 8, 2020
  • Article

Which Covid-19 Data Can You Trust?

By: Satchit Balsari, Caroline Buckee and Tarun Khanna
The COVID-19 pandemic has produced a tidal wave of data, but how much of it is any good? And as a layperson, how can you sort the good from the bad? The authors suggest a few strategies for dividing the useful data from the misleading: Beware of data that’s too broad... View Details
Keywords: COVID-19 Pandemic; Health Pandemics; Analytics and Data Science
Related
  • 08 Aug 2023
  • Research & Ideas

The Rise of Employee Analytics: Productivity Dream or Micromanagement Nightmare?

hiring and productivity, says Jeffrey T. Polzer, the UPS Foundation Professor of Human Resource Management at Harvard Business School. His recent paper probes how organizational researchers should study people analytics practices, which... View Details
Keywords: by Ben Rand

Are you looking for?

→Search All HBS Web