Elective Curriculum: Course Descriptions Last Updated: 21 Jul 2025 By Unit View by Unit | View by Course Title | View by Faculty | Print View Accounting & Management ...

Jill Kravetz will become the Bruce and Bridgitt Evans Executive Director of the Harvard Innovation Labs, a University-wide ...

Given the struggle that many organizations face hiring and retaining talent in today's tight labor market, it is critical to understand how to effectively reward employees. To address this question, ...

Whether on campus, online, or within an intensive certificate program, Harvard Business School combines bold ideas, powerful pedagogy, and collaborative cohort-based learning to deliver unparalleled ...

Porter, M. E. The Competitive Advantage: Creating and Sustaining Superior Performance. NY: Free Press, 1985. (Republished with a new introduction, 1998.) ...

About the Unit As the world of operations has changed, so have interests and priorities within the Unit. Historically, the TOM Unit focused on manufacturing and the development of physical products.

School Leadership | AboutSrikant M. Datar George F. Baker Professor of Administration, Dean of the Faculty ...

Kaplan, Robert S., and David P. Norton. The Balanced Scorecard: Translating Strategy into Action. Boston: Harvard Business School Press, 1996. (Nominated for Financial Times/ Booz-Allen & Hamilton ...

Sarcasm is ubiquitous in organizations. Despite its prevalence, we know surprisingly little about the cognitive experiences of sarcastic expressers and recipients or their behavioral implications. The ...

Although prior research indicates that psychological safety can fluctuate, questions about when and why remain. To gain insights into the emergence and temporal dynamics of psychological safety, we ...

This paper introduces a new measure of tariff evasion through rerouting and applies it to the 2018 U.S.–China trade war, focusing on Vietnam as a transit country. We use transaction-level trade data ...

While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results ...