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Show Results For
- All HBS Web
(1,928)
- News (299)
- Research (1,297)
- Events (27)
- Multimedia (11)
- Faculty Publications (776)
- September 2018
- Article
Assembling the Sales Team
Data and analytical tasks have lengthened productivity ramp-up times in many sales contexts, making each hire a bigger sunk cost for a longer time. Most companies adopt two common practices: They hire on the basis of “experience” and/or look at their best reps and try... View Details
- 19 May 2016
- Research Event
Crowdsourcing, Patent Trolls, and Other Research Insights Highlighted at Harvard Business School Symposium
submitted. Seeking answers from the crowd may be more important than ever. Even as the use of data science is expanding, we face a shortage of 1.8 million data scientists.... View Details
Keywords: by Dina Gerdeman & Carmen Nobel
- 13 Jul 2011
- News
NASA Tournament Lab: Open Innovation On-Demand
Leslie A. Perlow
Leslie A. Perlow is the Konosuke Matsushita Professor of Leadership in the Organizational Behavior Unit at Harvard Business School. She leads the Crafting Your Life Special Project, dedicated to helping individuals make purposeful life choices while gathering... View Details
- January–February 2014
- Article
The New Patterns of Innovation
By: Rashik Parmar, Ian Mackenzie, David Cohn and David Gann
The search for new business ideas—and models—is hit-or-miss at most firms. Tackling the problem systematically, of course, will improve the odds of success. Traditional ways of framing this search examine competencies, customer needs, and shifts in the landscape. This... View Details
Parmar, Rashik, Ian Mackenzie, David Cohn, and David Gann. "The New Patterns of Innovation." Harvard Business Review 92, nos. 1-2 (January–February 2014): 86–95.
- 23 Apr 2014
- HBS Seminar
David Lazer, Northeastern University
- 25 Jun 2013
- First Look
First Look: June 25
Business School Case 613-045 Managing with Analytics at Procter & Gamble Senior management at P&G has put a strong emphasis on using data to make "better, smarter, real-time business... View Details
Keywords: Anna Secino
- 2021
- Working Paper
Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log-linear function of a valuation (market value-to-accounting) multiple and the expected growth in the... View Details
Keywords: Expected Returns; Present Value; Investment Return; Accounting; Valuation; Information; Framework
Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer." Harvard Business School Working Paper, No. 21-081, January 2021.
- 2011
- Working Paper
Discretion Within the Constraints of Opportunity: Gender Homophily and Structure in a Formal Organization
By: Adam M. Kleinbaum, Toby E. Stuart and Michael L. Tushman
Homophily in social relations is widely documented. We know that homophily results from both individual preferences and uneven opportunities for interaction, but how these two mechanisms interact in formal organizations is not well understood. We argue that... View Details
Keywords: Interactive Communication; Analytics and Data Science; Organizational Structure; Partners and Partnerships; Behavior; Internet and the Web; Theory; Information Technology Industry
Kleinbaum, Adam M., Toby E. Stuart, and Michael L. Tushman. "Discretion Within the Constraints of Opportunity: Gender Homophily and Structure in a Formal Organization." Harvard Business School Working Paper, No. 12-050, December 2011.
- 23 May 2016
- News
The Biggest Challenges of Data-Driven Manufacturing
- February 2011
- Supplement
Dataset for "Slots, Tables, and All That Jazz: Managing Customer Profitability at the MGM Grand Hotel" (CW)
By: Dennis Campbell and Francisco de Asis Martinez-Jerez
Datasets of gaming and hotel customers to perform analysis for the case. View Details
- 11 Oct 2024
- Research & Ideas
How AI Could Ease the Refugee Crisis and Bring New Talent to Businesses
and studied the performance of the algorithms with Kirk Bansak, an assistant professor at the University of California at Berkeley. The work builds from their partnership with the Immigration Policy Lab at Stanford University, which uses... View Details
- 2009
- Case
What People Want (and How to Predict It)
By: Thomas H. Davenport and Jeanne G. Harris
Historically, neither the creators nor the distributors of cultural products such as books or movies have used analytics -- data, statistics, predictive modeling -- to determine the likely success of their offerings. Instead, companies relied on the brilliance of... View Details
Keywords: Product Development; Creativity; Customer Satisfaction; Forecasting and Prediction; Markets; Business Model; Motion Pictures and Video Industry; Motion Pictures and Video Industry
Davenport, Thomas H., and Jeanne G. Harris. "What People Want (and How to Predict It)." 2009.
- June 2014
- Case
Riverview Law: Applying Business Sense to the Legal Market
By: Heidi K. Gardner and Silvia Hodges Silverstein
Riverview Law, run like a business rather than a traditional law firm, wants to expand its unconventional concept from the UK to the US. The firm's approach includes performing all legal work for annual fixed-price contracts, using data and analytics to advise clients... View Details
Keywords: Strategy; Professional Services; Disruptive Innovation; Law Firms; Client Service; Culture; Recruiting; Management; Professional Services Firms; Business Model; Legal Services Industry; United Kingdom; United States
Gardner, Heidi K., and Silvia Hodges Silverstein. "Riverview Law: Applying Business Sense to the Legal Market." Harvard Business School Case 414-079, June 2014.
- 05 Oct 2017
- Blog Post
Working as a Software Engineer in Industrial Technology
currently-experienced world. The next day she introduced me to Justin Oliveria and Dan Nevius, two ECs that had worked at NASA and Planetary Resources. They had started building a space technology company,... View Details
Keywords: Technology
- Teaching
Overview
Anil has taught in front of MBA and doctoral students. He was a teaching fellow in "Managing Innovation" (taught by Professor Karim Lakhani) and "Strategies Beyond the Market" (taught by Professor Dennis Yao) as well as in the MBA Analytics program. Anil also... View Details
- January 2017
- Teaching Note
Transition at DataCo?
The founder of a data analytics company has several issues with his key business developer, an early hire who has been instrumental in building the firm. The DataCo case study illustrates a common situation in entrepreneurial ventures: an early sales hire does well but... View Details
- January 2024 (Revised February 2024)
- Course Overview Note
Managing Customers for Growth: Course Overview for Students
By: Eva Ascarza
Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
Suraj Srinivasan
Suraj Srinivasan is the Philip J. Stomberg Professor of Business Administration, a member of the Accounting and Management faculty unit, and chair of the
- 06 May 2015
- What Do You Think?
Are You Ready for Personalized Predictive Analytics?
knew she was pregnant. Target's Big Data analysis of hers' and others' purchases, combined with related information, had placed her in a cohort with other women known to be pregnant. Predictive View Details
Keywords: by James Heskett