Filter Results:
(189)
Show Results For
- All HBS Web
(316)
- News (46)
- Research (189)
- Events (1)
- Multimedia (1)
- Faculty Publications (124)
Show Results For
- All HBS Web
(316)
- News (46)
- Research (189)
- Events (1)
- Multimedia (1)
- Faculty Publications (124)
Sort by
- 30 Oct 2018
- First Look
New Research and Ideas, October 30, 2018
Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ... View Details
Keywords: Dina Gerdeman
- 16 Oct 2019
- Research & Ideas
Read Our Most Popular Stories of the Quarter
great customer service is no longer the responsibility of just one department. Creating the customer-centric organization. (12,182 visits) What Machine Learning Teaches Us about CEO Leadership Style... View Details
Keywords: by Sean Silverthorne
- 2020
- Working Paper
Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA
By: Matthew S. Johnson, David I. Levine and Michael W. Toffel
We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details
Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States
Johnson, Matthew S., David I. Levine, and Michael W. Toffel. "Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA." Harvard Business School Working Paper, No. 20-019, August 2019. (Revised February 2020.)
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- 16 May 2017
- First Look
First Look at New Ideas and Research, May 16
workers and managers in what to expect, 4) set up a support system, 5) tailor methods for managing careers, 6) scale the program, 7) mainstream the program. The work for managers will be harder, but the... View Details
Keywords: Re: Multiple Faculty
- 2022
- Working Paper
Communicating Corporate Culture in Labor Markets: Evidence from Job Postings
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
Pacelli, Joseph, Tianshuo Shi, and Yuan Zou. "Communicating Corporate Culture in Labor Markets: Evidence from Job Postings." Working Paper, October 2022.
- 02 Oct 2018
- First Look
New Research and Ideas, October 2, 2018
policies. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55050 "Developing Theory Using Machine Learning Methods By: Choudhury, Prithwiraj, Ryan... View Details
Keywords: Dina Gerdeman
- 05 Dec 2017
- First Look
First Look at New Research and Ideas, December 5, 2017
methodologies such as machine learning. We highlight the importance of distinguishing between which customers are at risk and which should be targeted—as they are not necessarily the same customers. We... View Details
Keywords: Sean Silverthorne
- 16 Oct 2018
- First Look
New Research and Ideas, October 16, 2018
Methods By: Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres Abstract—We describe how to employ machine learning (ML) View Details
Keywords: Dina Gerdeman
- 15 May 2018
- First Look
New Research and Ideas, May 15, 2018
suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I employ? Machine learning, data science, big data, and predictive analytics all... View Details
Keywords: Dina Gerdeman
- 12 Jun 2018
- First Look
New Research and Ideas, June 12, 2018
period. Stock indexes can transform longstanding behavior via nonpecuniary channels. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=53030 Machine Learning View Details
Keywords: Dina Gerdeman
- 11 Dec 2007
- First Look
First Look: December 11, 2007
wise or lucky. His blend of new statistical methods and old common-sense reasoning helped him profit as the forecasting industry first developed. Irving Fisher, Economic... View Details
Keywords: Martha Lagace
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- 28 Aug 2018
- First Look
New Research and Ideas, August 28, 2018
technology firms such as IBM, Microsoft, Google, and HP, as well as by Japanese multinationals such as Sony, Canon, and Fujitsu. Chinese patenting in the U.S. is small but growing rapidly View Details
Keywords: Dina Gerdeman
- 26 Mar 2019
- First Look
New Research and Ideas, March 26, 2019
challenging areas. Download working paper: https://www.hbs.edu/faculty/Pages/item.aspx?num=55885 Learning or Playing? The Effect of Gamified Training on Performance By: Buell, Ryan W., Wei Cai, and Tatiana... View Details
Keywords: Dina Gerdeman
- 21 Aug 2018
- First Look
New Research and Ideas, August 21, 2018
We implement a variety of machine learning methods to forecast daily sales. We find that using social media information results in statistically... View Details
Keywords: Dina Gerdeman
- 19 Mar 2019
- First Look
New Research and Ideas, March 19, 2019
Accounting Review Rethinking Measurement of Pay Disparity and Its Relation to Firm Performance By: Rouen, Ethan Abstract—I develop measures of firm-level pay disparity and examine their relation to firm... View Details
Keywords: Dina Gerdeman
- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details
- 08 Feb 2016
- Research & Ideas
The Civic Benefits of Google Street View and Yelp
Naik’s images with household income levels for some 2,400 blocks, provided by the city online. “The incomes act as labels for the images, and then the machine learns the... View Details
- 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
Mankad, Shawn, Hyunjeong "Spring" Han, Joel Goh, and Srinagesh Gavirneni. "Understanding Online Hotel Reviews Through Automated Text Analysis." Service Science 8, no. 2 (June 2016): 124–138.