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    • News  (92)
    • Research  (416)
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Show Results For

  • All HBS Web  (601)
    • People  (1)
    • News  (92)
    • Research  (416)
    • Events  (6)
    • Multimedia  (1)
  • Faculty Publications  (223)
← Page 16 of 601 Results →
  • 01 Jun 2023
  • HBS Case

A Nike Executive Hid His Criminal Past to Turn His Life Around. What If He Didn't Have To?

biased policing, have contributed to this trend. For Miller’s parents, money was tight, but their small row house in West Philadelphia was a happy, loving, and supportive home for Larry and his seven siblings. In elementary school, Miller... View Details
Keywords: by Dina Gerdeman; Apparel & Accessories
  • May–June 2024
  • 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... View Details
Keywords: Prejudice and Bias; Gender; Training; Recruitment; Personal Development and Career
Citation
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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 35, no. 3 (May–June 2024): 911–927.
  • 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... View Details
Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
Citation
SSRN
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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.)
  • 01 Sep 2023
  • News

Solving for Z

about the need to develop the technology with ethical guidelines in mind, such as preventing it from generating biased or inappropriate content. “The Gen Z employee is looking to understand the things we do not just from a business... View Details
Keywords: Alexander Gelfand; Illustrations by Doug Chayka; Administration of Human Resource Programs; Government
  • Web

Finance - Faculty & Research

metrics and public sentiments from S&P 500 companies on X (formerly Twitter) from 2010 to 2021. I find empirical evidence that public sentiments lag significantly by one to two quarters. Using a two-period theoretical model of an ESG-aware investor, I highlight View Details
  • Web

Business & Environment - Faculty & Research

Twitter) from 2010 to 2021. I find empirical evidence that public sentiments lag significantly by one to two quarters. Using a two-period theoretical model of an ESG-aware investor, I highlight biases retail investors should caution... View Details
  • 03 Jan 2017
  • First Look

January 3, 2017

research and technological innovation, this approach is misguided and potentially risky. This article argues that researchers need to pay close attention to issues such as biases in data collection and spurious correlation. Publisher's... View Details
Keywords: Carmen Nobel
  • 22 Jun 2022
  • Book

Four Elements for Finding the Right Career Path

Reinvent Your Career How Bonuses Get Employees to Choose Work Over Family How Women Can Learn from Even Biased Feedback Related reading from the Working Knowledge Archives Four Keys of Enduring Success: How High Achievers Win Feedback or... View Details
Keywords: by Dina Gerdeman
  • 30 May 2024
  • Research & Ideas

Racial Bias Might Be Infecting Patient Portals. Can AI Help?

experiment with generative artificial intelligence (AI)—ramifications of its use on practice are just starting to be examined. The research sheds light on the biases that digital platforms, whether a simple messaging solution or a... View Details
Keywords: by Ben Rand; Health
  • 20 Apr 2011
  • Research & Ideas

Blind Spots: We’re Not as Ethical as We Think

race biases without knowing that you have these biases, overclaiming credit without meaning to do so, being affected by conflicts of interest, and favoring an in-group—such as universities often do when they give preferential treatment to... View Details
Keywords: by Sean Silverthorne
  • Research Summary

Overview

Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
  • 28 Feb 2022
  • Research & Ideas

How Racial Bias Taints Customer Service: Evidence from 6,000 Hotels

when underlying biases are creeping into their interactions with customers. Feldberg and Kim have a few suggestions to help organizations identify whether bias is present and reverse the pattern: Conduct surveys. Reach out to customers... View Details
Keywords: by Pamela Reynolds
  • Research Summary

Supply Chain Inventory Planning

My work studies management decision-making in demand and supply planning contexts with a focus on forecasting and inventory planning decisions.  I examine these decision-making processes from both a supply chain (i.e. across firm) and an... View Details

  • Web

About the Center - Christensen Center for Teaching & Learning

doctoral students to design and implement experiments and surveys to study negotiation and decision making, with an emphasis on how biases affect decisions. Tara earned her B.A. cum laude in Psychology (Psi Chi) from Boston University.... View Details
  • 29 Sep 2022
  • Op-Ed

Inclusive Leadership Advice: Get Comfortable With the Uncomfortable

This article originally appeared on LinkedIn. Follow Francesca Gino on LinkedIn to read more of her posts. You Might Also Like: When Your Nerves Get the Best of You, Change the Narrative How Women Can Learn from Even Biased Feedback Can... View Details
Keywords: by Francesca Gino
  • 28 Feb 2013
  • Working Paper Summaries

Do Display Ads Influence Search? Attribution and Dynamics in Online Advertising

Keywords: by Pavel Kireyev, Koen Pauwels & Sunil Gupta; Advertising
  • 2009
  • Working Paper

Assess, Don't Assume, Part II: Negotiating Implications of Cross-Border Differences in Decision Making, Governance, and Political Economy

By: James K. Sebenius

When facing a cross-border negotiation, the standard preparatory assessments—of the parties, their interests, their no-deal options, opportunities for and barriers to creating and claiming value, the most promising sequence and process design, etc.—should be... View Details

Keywords: Decision Making; Cross-Cultural and Cross-Border Issues; Corporate Governance; Negotiation Process; Organizational Culture; Business and Government Relations
Citation
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Sebenius, James K. "Assess, Don't Assume, Part II: Negotiating Implications of Cross-Border Differences in Decision Making, Governance, and Political Economy." Harvard Business School Working Paper, No. 10-050, December 2009.
  • 2009
  • Working Paper

Assess, Don't Assume, Part I: Etiquette and National Culture in Negotiation

By: James K. Sebenius
When facing a cross-border negotiation, the standard preparatory assessments -- of the parties, their interests, their no-deal options, opportunities for and barriers to creating and claiming value, the most promising sequence and process design, etc. -- should be... View Details
Keywords: Cross-Cultural and Cross-Border Issues; Negotiation Process; Societal Protocols; Competitive Advantage; Cooperation
Citation
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Related
Sebenius, James K. "Assess, Don't Assume, Part I: Etiquette and National Culture in Negotiation." Harvard Business School Working Paper, No. 10-048, December 2009.
  • 08 May 2025
  • HBS Seminar

Ramesh Johari, Stanford

  • 03 Jan 2023
  • Book

Confront Workplace Inequity in 2023: Dig Deep, Build Bridges, Take Collective Action

The work of Timnit Gebru and Margaret Mitchell offers a high-profile example, Opie notes. Gebru, who’s Black, and Mitchell, who’s white, explored fairness in machine learning as computer scientists at Google. They raised controversial questions about racial and gender... View Details
Keywords: by Pamela Reynolds
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