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Show Results For
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All HBS Web
(837)
- News (77)
- Research (636)
- Events (11)
- Multimedia (4)
- Faculty Publications (633)
- 26 Apr 2023
- In Practice
Is AI Coming for Your Job?
but it did change what mathematical skills became important to organizations and, importantly, how we taught math in schools. It became less important for engineers building rockets at NASA, for example, to solve complex math problems in...
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- Web
Technology & Operations Management - Faculty & Research
Operations ; Statistical Methods And Machine Learning ; Statistical Interferences ; Research Analysts ; Analytics and Data Science ; Mathematical Methods Citation Read Now Related Ouellet, Melissa, and Michael W. Toffel. "Empirical...
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- 14 Sep 2021
- HBS Seminar
Dashun Wang, Northwestern
- Web
Named Fellowship Funds - Alumni
Goldman Sachs and Kohlberg Kravis Roberts & Co. Inc. He is a chartered financial analyst. Howard received his AB magna cum laude in applied mathematics in economics from Harvard College and was a Baker Scholar and recipient of the John...
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- Web
Blavatnik Fellowship in Life Science Entrepreneurship - Health Care
earned a PhD and AM in biostatistics from Harvard University and a BA in mathematical biology from the University of Pennsylvania. Luca Giani (MPP 2022) Luca Giani (MPP 2022) is the co-founder and CEO of Ilios Therapeutics, a platform...
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- Forthcoming
- Article
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure...
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Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Organization Science (forthcoming). (Pre-published online May 31, 2023.)
- 2023
- Working Paper
Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs
By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure...
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Keywords:
STEM;
Selection and Staffing;
Gender;
Prejudice and Bias;
Training;
Equality and Inequality;
Competency and Skills
Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
- 26 Jun 2023
- Research & Ideas
Want to Leave a Lasting Impression on Customers? Don't Forget the (Proverbial) Fireworks
and Ahmet Uğuralp and Zeliha Uğuralp of Bilkent University in Turkey. Success is a journey—especially when it gets better In the study, De Freitas and his colleagues generated 27 different graphs to represent a customer’s experience. They created some using View Details
- 15 Feb 2022
- Book
When Working Harder Doesn’t Work, Time to Reinvent Your Career
predict. But applied mathematicians (who use mathematics to, for example, solve actual problems in business) peak much later, because they specialize in combining and using ideas that already exist— a skill that favors older people. Or...
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Keywords:
by Avery Forman
- 2020
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships
Organizations are formed in a free economy because an individual or group perceives value in carrying out a technical recipe that is beyond the capacity of a single person. Technology specifies what must be done, what resources must be assembled, what actions taken in...
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Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships." Harvard Business School Working Paper, No. 21-039, September 2020.
- Web
Negotiation, Organizations & Markets - Faculty & Research
are less demanding and more cooperative are more willing to forego these benefits, such that burying one’s victimhood can serve as a costly signal of virtue. Through a mathematical model, and five empirical studies conducted on Prolific...
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- 02 Apr 2024
- Research & Ideas
Employees Out Sick? Inside One Company's Creative Approach to Staying Productive
chances of filling needed jobs. Applying a mathematical model to these relational contracts, the researchers found that the optimal number of connections among managers was seven or eight. Those relationships could boost productivity by...
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- Web
FAQ - MBA
an applicant’s eligibility to apply on an individual basis. Students should consider whether their individual background prepares them for the highly technical and mathematical graduate-level coursework in the School of Engineering and...
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- 18 Apr 2023
- HBS Seminar
Daron Acemoglu, MIT
- 24 Feb 2016
- HBS Seminar
David Brumley of Carnegie Mellon University
- 09 Mar 2016
- HBS Seminar
Katja Seim of The Wharton School, University of Pennsylvania
- Web
About - Business & Environment
McKinsey & Company. Carolyn graduated magna cum laude from Harvard College in applied mathematics and earned an MBA from Harvard Business School. BiGS Climate Fellows Jonas Meckling Associate professor at the University of California...
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- October 2012
- Article
Data Scientist: The Sexiest Job of the 21st Century
Key to the effective use of big data are the analytical professionals known as "data scientists," who can both manipulate large and unstructured data sources and create insights from them. Data scientists are difficult to hire and retain, but their skills will be...
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Keywords:
Big Data;
Data Scientists;
Business Analytics;
Analytics and Data Science;
Mathematical Methods;
Jobs and Positions
Davenport, Thomas H., and D. J. Patil. "Data Scientist: The Sexiest Job of the 21st Century." Harvard Business Review 90, no. 10 (October 2012): 70–76.
- Research Summary
Overview
By: Ethan C. Rouen
Relying on empirical archival methodologies—as well as techniques in data science—to develop and structure new sources of data by which to approach questions of looming disclosure changes, Professor Rouen has focused on one of the Securities and Exchange Commission’s...
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