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Show Results For
- All HBS Web
(1,465)
- News (358)
- Research (885)
- Events (3)
- Multimedia (4)
- Faculty Publications (232)
- January–February 2018
- Article
Ads That Don't Overstep: How to Make Sure You Don't Take Personalization Too Far
By: Leslie John, Tami Kim and Kate Barasz
Data gathered on the web has vastly enhanced the capabilities of marketers. With people regularly sharing personal details online and internet cookies tracking every click, companies can now gain unprecedented insight into individual consumers and target them with... View Details
John, Leslie, Tami Kim, and Kate Barasz. "Ads That Don't Overstep: How to Make Sure You Don't Take Personalization Too Far." Harvard Business Review 96, no. 1 (January–February 2018): 62–69.
- Web
Data Privacy Statement (MENA) - Global
Middle East & North Africa Dubai, Istanbul, Tel Aviv Data Privacy Statement Pursuant to Law No. 6698 on the Protection of Personal Data of Turkey (hereinafter “Law”) entered... View Details
- 07 Dec 2016
- HBS Case
Why Millennials Flock to Fintech for Personal Investing
asset accumulators of the future” A new breed of financial technology companies, known collectively as fintech, has taken advantage of these traits to disrupt an unexpected industry: personal investing. Just as manufacturing companies... View Details
- 2023
- Working Paper
New Facts and Data about Professors and Their Research
By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, December 2023.
- 16 Nov 2010
- Lessons from the Classroom
Data.gov: Matching Government Data with Rapid Innovation
Obama-to move government data to the Web-lead to public benefits much faster? Data.gov, the subject of a new HBS case study, taught for the first time this summer, highlights the potential of raw data to... View Details
- 18 Apr 2023
- Research & Ideas
The Best Person to Lead Your Company Doesn't Work There—Yet
details, including a top executive’s stake in the firm. So, the researchers turned to Pitchbook, a company that tracks buyout data for private companies. They added specific CEO data from Capital IQ,... View Details
- 18 Mar 2014
- News
The Oz of Data Opens the Curtain
personal data collection have a surprising ally: Scott Howe. Why? Because it's good for business. "How people think about data is going to change seismically in the coming... View Details
- June 2018
- Article
Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged
By: Clarence Lee, Elie Ofek and Thomas Steenburgh
We study how digital service firms can develop an active customer base, focusing on two questions. First, how does the way that customers use the service postadoption to meet their own needs (personal usage) and to interact with one another (social usage) vary across... View Details
Keywords: Customer Engagement; Adoption Routes; Word-of-Mouth; Digital Marketing; Bayesian Estimation; Customers; Communication; Consumer Behavior; Marketing; Internet and the Web; Analytics and Data Science
Lee, Clarence, Elie Ofek, and Thomas Steenburgh. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged." Management Science 64, no. 6 (June 2018): 2473–2495. (Lead Article.)
- Web
Using Personal Devices for HBS Business | Information Technology
Personal Device Requirements Any device which will be used for HBS business or connect to HBS systems, data must adhere to the requirements listed in the Minimum Security Responsibilities: Computers and... View Details
- 19 Dec 2023
- Research & Ideas
$15 Billion in Five Years: What Data Tells Us About MacKenzie Scott’s Philanthropy
finished giving, but with more than $15 billion granted to nearly 2,000 organizations, some meaningful patterns have begun to emerge. We parsed all the Yield Giving donation information available to date and matched it with Internal Revenue Service View Details
- Web
Protecting Data at HBS | Information Technology
information that must be safeguarded as confidential and shared only with individuals with a need to know. Most university data falls into this broad classification This includes personal information,... View Details
- 2015
- Working Paper
Selling to a Moving Target: Dynamic Marketing Effects in US Presidential Elections
By: Doug J. Chung and Lingling Zhang
We examine the effects of various political campaign activities on voter preferences in the domain of US Presidential elections. We construct a comprehensive data set that covers the three most recent elections, with detailed records of voter preferences at the... View Details
Keywords: Multi-channel Marketing; Personal Selling; Advertising; Political Campaigns; Dynamic Panel Data; Instrumental Variables; Marketing Communications; Political Elections; Advertising Campaigns; United States
Chung, Doug J., and Lingling Zhang. "Selling to a Moving Target: Dynamic Marketing Effects in US Presidential Elections." Harvard Business School Working Paper, No. 15-095, June 2015. (Revised December 2015.)
- 01 Dec 1997
- News
1997 Placement Data Reflect January Cohort's Success
interviews, summer career fairs that drew more than seventy firms to campus, and more personalized counseling support. Some students also completed a fall internship before entering HBS, while others worked for companies briefly during... View Details
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those... View Details
- 21 Aug 2017
- Lessons from the Classroom
Companies Love Big Data But Lack the Strategy To Use It Effectively
the class toward her personal passion, precision medicine. “Health care is rife with examples like these—and such applications of big data will only expand over the coming years. I spend a lot of time... View Details
Keywords: by Dina Gerdeman
- 2025
- Working Paper
Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning
Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships
between customer states, company actions, and long-term value. However, its practical implementation often faces significant
challenges.... View Details
Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
- 12 Apr 2022
- Research & Ideas
Swiping Right: How Data Helped This Online Dating Site Make More Matches
person is higher than me on the desirability scale. Maybe I’m more desirable than I thought I was. Confidence leads to better outcomes,” he says. Some love matches fizzled. When a targeting man was very desirable but a focal woman had low... View Details
Keywords: by Kara Baskin
- 07 Dec 2015
- Research & Ideas
The Rise of Personalized Entrepreneurial Finance and Other VC Trends
industries in different ways. Venture capital, for example, was once mostly reserved for institutional investors backed by endowments and pension funds. Today, it increasingly includes individual investors who are using technological tools and View Details
- 06 Jul 2017
- Working Paper Summaries
Do All Your Detailing Efforts Pay Off? Dynamic Panel Data Methods Revisited
- March 2023 (Revised May 2023)
- Technical Note
Technical Note: The Traits of Entrepreneurs
By: Jo Tango and Alys Ferragamo
Why do some entrepreneurs succeed and others do not? Are there personality traits that lead someone to become an entrepreneur? Although many questions still remain, there has been significant research on the “entrepreneurial personality.” This note provides an... View Details
Keywords: Entrepreneur; Innovation; Personality; Personality Traits; Risk Preference; Big Five; Locus Of Control; Success; Entrepreneurship; Personal Characteristics
Tango, Jo, and Alys Ferragamo. "Technical Note: The Traits of Entrepreneurs." Harvard Business School Technical Note 823-099, March 2023. (Revised May 2023.)