Publications

20 Nov 2012
First Look

First Look: November 20

in concentration levels in the U.S. Advertising and Marketing Services industry using data from the U.S. Census Bureau's quinquennial Economic Census and the Service Annual Survey. These data, heretofore largely ignored, allow us to... View Details

Keywords: Sean Silverthorne

Web

Finance - Faculty & Research

Banking ; Mobile Phones ; Developing Countries and Economies ; Mobile and Wireless Technology ; AI and Machine Learning ; Analytics and Data Science ; Credit ; Borrowing and Debt ; Well-being ; Banking... View Details

2022
Article

Towards Robust Off-Policy Evaluation via Human Inputs

By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju

Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset... View Details

Keywords: Analytics and Data Science; Research

Web

Technology & Innovation - Faculty & Research

production workers) are associated with more autonomy and a wider span of control. By contrast, communication technologies (like data networks) decrease autonomy for both workers and plant managers. Treating technology as endogenous using... View Details

Web

Online Business Courses & Certifications | HBS Online

CORe is a business fundamentals program that combines Business Analytics, Economics for Managers, and Financial Accounting with a final exam. 10-17 weeks, 8-15 hrs/week Apply by August 25 $2,650 Credential Business Analytics Professor... View Details

February 2024
Case

ReSpo.Vision: The Kickstart of an AI Sports Revolution

By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson

This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details

Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe

Educators

28 Nov 2018
HBS Case

On Target: Rethinking the Retail Website

Target was awash in customer data from these online sales, but to make sense of it, the company needed to bring in the right people. Paritosh Desai joined Target in August 2013 as vice president of business intelligence, analytics, and... View Details

Keywords: by Dina Gerdeman; Retail

2014
Chapter

The Intensive Margin of Technology Adoption

By: Diego A. Comin

We present a tractable model for analyzing the relationship between economic growth and the intensive and extensive margins of technology adoption. The "extensive" margin refers to the timing of a country's adoption of a new technology; the "intensive" margin refers to... View Details

Keywords: Economic Growth; Microeconomics; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Growth and Development Strategy; Relationships; Technology Adoption

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Web

HBS - The year in Review

the Harvard Business Analytics Program’s 400 participants who had attended virtual immersions in 2020 and 2021. Celebrating 100 Years of the Case Method The 2021-22 academic year marked the centennial of the introduction of the case... View Details

2011
Chapter

Regional Trade Integration and Multinational Firm Strategies

By: Pol Antras and C. Fritz Foley

This paper analyzes the effects of the formation of a regional trade agreement on the level and nature of multinational firm activity. We examine aggregate data that captures the response of U.S. multinational firms to the formation of the ASEAN free trade agreement.... View Details

Keywords: Forecasting and Prediction; Trade; Foreign Direct Investment; Multinational Firms and Management; Globalized Markets and Industries; Analytics and Data Science; Agreements and Arrangements; United States

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Article

Paradise Lost (and Restored?): A Study of Psychological Safety over Time

By: Derrick P. Bransby, Michaela Kerrissey and Amy C. Edmondson

Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we explored longitudinal data representing more than 10,000 health care... View Details

Keywords: Analytics and Data Science; Research; Attitudes; Working Conditions; Well-being; Health Industry

05 Dec 2022
Research & Ideas

5 Companies Where Employees Move Up the Ladder Fast

workers lack a college degree. Combining that data from Lightcast, a labor market analytics company, with approximately 20 million self-reported salary records on Glassdoor, the authors tracked how workers... View Details

Keywords: by Pamela Reynolds

July – August 2011
Article

Foundations of Organizational Trust: What Matters to Different Stakeholders?

By: Michael Pirson and Deepak Malhotra

Prior research on organizational trust has not rigorously examined the context specificity of trust nor distinguished between the potentially varying dimensions along which different stakeholders base their trust. As a result, dominant conceptualizations of... View Details

Keywords: Trust; Competency and Skills; Forecasting and Prediction; Ethics; Framework; Analytics and Data Science; Surveys; Organizations; Business and Stakeholder Relations; Identity; Perspective

May 2024
Case

Pernod Ricard: Uncorking Digital Transformation

By: Iavor Bojinov, Edward McFowland III, François Candelon, Nikolina Jonsson and Emer Moloney

This case study explores the opportunities and challenges of the digital transformation journey of French wine and spirits company Pernod Ricard. As part of the transformation, the company launched four key digital programs (KDPs) aimed at using data and artificial... View Details

Keywords: Business Organization; Business Divisions; Talent and Talent Management; Global Strategy; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Digital Strategy; Advertising; Sales; Organizational Culture; Product Development; Decision Making; Technology Adoption; Alignment; Expansion; Food and Beverage Industry; France; Europe

Educators

2008
Working Paper

The Internalization of Advertising Services: An Inter-Industry Analysis

By: Sharon Horsky, Steven C. Michael and Alvin J. Silk

The common perception appears to be that vertical integration of advertising services is more the exception than the rule in the U.S. advertising industry. This study investigates the extent of such outsourcing and examines inter-industry variation in the use of... View Details

Keywords: Advertising; Cost; Analytics and Data Science; Management Analysis, Tools, and Techniques; Service Operations; Creativity; Perception; Vertical Integration; Information Technology; Advertising Industry; United States

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11 Apr 2007
Research & Ideas

Adding Time to Activity-Based Costing

To improve any business, managers need to understand how much it costs to produce a profitable product. It seems a simple task, but the process of securing and analyzing the data can be incredibly complex and organizationally taxing. In... View Details

Keywords: by Sarah Jane Gilbert

November–December 2023
Article

Look the Part? The Role of Profile Pictures in Online Labor Markets

By: Isamar Troncoso and Lan Luo

Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer "looks the part"... View Details

Keywords: Freelancers; Gig Workers; Demographics; Prejudice and Bias; Selection and Staffing; Jobs and Positions; Analytics and Data Science

2020
Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry