Filter Results:
(2,525)
Show Results For
- All HBS Web
(2,525)
- People (2)
- News (928)
- Research (1,281)
- Events (25)
- Multimedia (80)
- Faculty Publications (546)
Show Results For
- All HBS Web
(2,525)
- People (2)
- News (928)
- Research (1,281)
- Events (25)
- Multimedia (80)
- Faculty Publications (546)
- June 2019
- Teaching Note
Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics
By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
- 25 Feb 2013
- Talk
OSHA Inspections: Saving Workers or Killing Jobs? Evidence from Randomized Inspections in California
Toffel, Michael W. "OSHA Inspections: Saving Workers or Killing Jobs? Evidence from Randomized Inspections in California." Harvard-NIOSH Education and Research Center Seminar, National Institute for Occupational Safety and Health (NIOSH) and Harvard School of Public Health, Boston, MA, February 25, 2013.
- 2016
- Working Paper
Workplace Design: The Good, the Bad, and the Productive
By: Michael Housman and Dylan Minor
We study the effects of performance spillover in the workplace-both positive and negative-on several dimensions, and find that it is pervasive and decreasing in the physical distance between workers. We also find that workers have different strengths, and that while... View Details
Keywords: Strategic Human Resource Management; Peer Effects; Productivity; Spillovers; Toxic Worker; Strategy; Working Conditions; Performance Productivity; Human Resources
Housman, Michael, and Dylan Minor. "Workplace Design: The Good, the Bad, and the Productive." Harvard Business School Working Paper, No. 16-147, June 2016.
- 2022
- Article
How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies
By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are... View Details
Keywords: Time-use; Working-from-home; COVID; Managers; Knowledge Workers; Health Pandemics; Time Management
Teodorovicz, Thomaz, Raffaella Sadun, Andrew L. Kun, and Orit Shaer. "How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies." Human-Computer Interaction 37, no. 6 (2022): 532–557.
- June 2019
- Supplement
Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics
By: Michael W. Toffel and Dan Levy
- Web
The Worker - The Human Factor – Baker Library | Bloomberg Center, Historical Collections
Production The Worker Chapter Introduction Chapter Images The Audience Bibliography The Worker: The Human Factor Baker Library | Historical Collections | Site Credits | Digital Accessibility Contact Email: histcollref@hbs.edu © President... View Details
- 11 Dec 2019
- News
Are you ready for a robot boss? Many workers say that yes, they are
- January 2023
- Article
Firm-Induced Migration Paths and Strategic Human-Capital Outcomes
By: Prithwiraj (Raj) Choudhury, Tarun Khanna and Victoria Sevcenko
Firm-induced migration typically entails firms relocating workers to fill value-creating positions at destination locations. But such relocated workers are often exposed to external employment opportunities at their destinations, possibly triggering turnover. We... View Details
Keywords: Worker Relocation; Turnover; Firm-induced Migration; Smaller Towns; Employee Mobility; Geographic Mobility; Migration; Clusters; Employees; Geographic Location; Performance; Opportunities; Retention; Human Capital; Talent and Talent Management
Choudhury, Prithwiraj (Raj), Tarun Khanna, and Victoria Sevcenko. "Firm-Induced Migration Paths and Strategic Human-Capital Outcomes." Management Science 69, no. 1 (January 2023): 419–445.
- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- 2021
- Working Paper
Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes
By: Hise O. Gibson, Ryan W. Buell and Prithwiraj Choudhury
We study how “contextual specialization,” the act of focusing workers’ organizational tasks within a particular locational context, and “contextual non-specialization,” the practice of diversifying workers’ organizational tasks among multiple locational contexts,... View Details
Keywords: Talent and Talent Management; Performance; Experience and Expertise; Selection and Staffing; Strength and Weakness; Personal Development and Career
Gibson, Hise O., Ryan W. Buell, and Prithwiraj Choudhury. "Multi-location Workers in Multinational Firms? Tradeoffs in Contextual Specialization of Employees and Organizational Outcomes." Harvard Business School Working Paper, No. 22-007, August 2021.