Publications

Educators

21 Sep 2023
HBS Seminar

Pinar Ozcan, Saïd Business School

Research Summary

Overview

By: Srikant M. Datar

Professor Datar has several research and course development interests. His initial areas of research interest were in cost management and management control, strategy implementation and governance. Over the last few years his areas of interest are management education,... View Details

Research Summary

Overview

Dr. Logg studies how people can improve the accuracy of their judgments and decisions. Her main program of work examines when people are most likely to leverage the power of algorithms to improve their accuracy. Research on what she calls “theory of machine” is... View Details

Keywords: Decision Making; Judgment; Algorithms; Advice Taking

2023
Working Paper

Corporate Website-based Measures of Firms' Value Drivers

By: Wei Cai, Dennis Campbell and Patrick Ferguson

We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details

Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science

June 2016
Article

Understanding Online Hotel Reviews Through Automated Text Analysis

By: Shawn Mankad, Hyunjeong "Spring" Han, Joel Goh and Srinagesh Gavirneni

Customer reviews submitted at Internet travel portals are an important yet underexplored new resource in obtaining feedback on customer experience for the hospitality industry. These data are often voluminous and unstructured, presenting analytical challenges for... View Details

Keywords: Hotel Reviews; Natural Language Processing; Information Technology; Service Operations; Accommodations Industry; Moscow

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2018
Working Paper

Averaging Probability Forecasts: Back to the Future

By: Robert L. Winkler, Yael Grushka-Cockayne, Kenneth C. Lichtendahl Jr. and Victor Richmond R. Jose

The use and aggregation of probability forecasts in practice is on the rise. In this position piece, we explore some recent, and not so recent, developments concerning the use of probability forecasts in decision-making. Despite these advances, challenges still exist.... View Details

Keywords: Probability Forecast; Forecast Combination; Forecast Evaluation; Decision Analysis; Forecasting and Prediction; Decision Making; Analysis

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July 9, 2019
Article

Setting Better Sales Goals with Analytics

By: Doug J. Chung, Isabel Huber, Vinay Murthy, Varun Sunku and Marije Weber

Sales compensation is a critical lever in motivating a salesforce and driving growth in the business-to-business sector: Studies show that revising compensation in line with market trends can have a 50% greater impact on sales than advertisements have, for instance. A... View Details

Keywords: Analytics; Salesforce Management; Compensation and Benefits; Motivation and Incentives; Goals and Objectives

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2022
Working Paper

Communicating Corporate Culture in Labor Markets: Evidence from Job Postings

By: Joseph Pacelli, Tianshuo Shi and Yuan Zou

We examine how firms craft their job postings to convey information about their culture and whether doing so helps attract employees. We utilize state-of-the-art machine learning methods to develop a comprehensive dictionary of key corporate values across the near... View Details

Keywords: Corporate Culture Significance; Labor Markets; Disclosure; Organizational Culture; Recruitment; Talent and Talent Management

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For decades, U.S. companies have been outsourcing manufacturing in the belief that it held no competitive advantage. That’s been... View Details

May 2021 (Revised February 2024)
Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery

THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details

Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States

June 2023
Article

When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju

As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision... View Details

Keywords: AI and Machine Learning; Decision Making

25 Apr 2023
HBS Seminar

Bart Vanneste, UCL School of Management

04 Dec 2024
HBS Seminar

Mert Demirer, MIT Sloan School of Management

February 2021
Case

Digital Manufacturing at Amgen

By: Shane Greenstein, Kyle R. Myers and Sarah Mehta

This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is... View Details

Educators

2022
Article

A Human-Centric Take on Model Monitoring

By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi

Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details

Keywords: AI and Machine Learning; Research and Development; Demand and Consumers

2021
Book

The Future of Executive Development

By: Mihnea C Moldoveanu and Das Narayandas

Executive development programs have entered a period of rapid transformation, driven by digital disruption and a widening gap between the skills that participants and their organizations demand and those provided by their executive programs. This work delves into the... View Details

Keywords: Executive Education; Leadership Development; Management Skills; Education Industry

2013
Chapter

Beyond Platinum: Making the Case for Titanium Buildings

By: Jock Herron, Amy C. Edmondson and Robert G. Eccles

Buildings are the nation's greatest energy consumers. Forty percent of all our energy is used for heating, cooling, lighting, and powering machines and devices in buildings. And despite decades of investment in green construction technologies, residential and... View Details

Keywords: Buildings and Facilities; Energy; Attitudes; Environmental Sustainability; Construction Industry; Green Technology Industry; United States

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2018
Working Paper

Some Facts of High-Tech Patenting

By: Michael Webb, Nick Short, Nicholas Bloom and Josh Lerner

Patenting in software, cloud computing, and artificial intelligence has grown rapidly in recent years. Such patents are acquired primarily by large U.S. technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon,... View Details

Keywords: Patents; Applications and Software; Technological Innovation; United States

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