Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (579) Arrow Down
Filter Results: (579) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (858)
    • People  (2)
    • News  (156)
    • Research  (579)
    • Events  (1)
  • Faculty Publications  (133)

Show Results For

  • All HBS Web  (858)
    • People  (2)
    • News  (156)
    • Research  (579)
    • Events  (1)
  • Faculty Publications  (133)
← Page 4 of 579 Results →
Sort by

Are you looking for?

→Search All HBS Web
  • January 2015 (Revised July 2019)
  • Case

CVS Health: Promoting Drug Adherence

By: Leslie John, John Quelch and Robert Huckman
Email mking@hbs.edu for a courtesy copy.

The case describes a program that CVS Health recently implemented to improve medication adherence, an important problem from a societal, public policy, and firm... View Details
Keywords: Medication Adherence; Affordable Care Act (ACA); Marketing Strategy; Communication Strategy; Customer Value and Value Chain; Decisions; Health Care and Treatment; Goals and Objectives; Resource Allocation; Marketing Communications; Consumer Behavior; Measurement and Metrics; Service Delivery; Behavior; Motivation and Incentives; Social Issues; Information Technology; Value Creation; Health Industry; Pharmaceutical Industry; Insurance Industry; Public Relations Industry; Retail Industry; United States
Citation
Educators
Purchase
Related
John, Leslie, John Quelch, and Robert Huckman. "CVS Health: Promoting Drug Adherence." Harvard Business School Case 515-010, January 2015. (Revised July 2019.) (Email mking@hbs.edu for a courtesy copy.)
  • January 2014 (Revised December 2014)
  • Case

GenapSys: Business Models for the Genome

By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation & Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States
Citation
Educators
Purchase
Related
Hamermesh, Richard G., Joseph B. Fuller, and Matthew Preble. "GenapSys: Business Models for the Genome." Harvard Business School Case 814-050, January 2014. (Revised December 2014.)
  • February 2016 (Revised May 2016)
  • Case

Dinr: My First Start-up (A)

By: Shikhar Ghosh and Kristina Maslauskaite
In May 2012, a young employee at Google's London office, Markus Berger, was thinking whether he should quit his job and go after his dream of becoming an entrepreneur. Berger's idea was to create Dinr, a company that would offer an upscale food ingredient delivery... View Details
Keywords: Exit Strategy; Startup; Start-up; Business Exit or Shutdown; Business Startups; Entrepreneurship; Food
Citation
Educators
Purchase
Related
Ghosh, Shikhar, and Kristina Maslauskaite. "Dinr: My First Start-up (A)." Harvard Business School Case 816-080, February 2016. (Revised May 2016.)
  • 13 May 2024
  • Research & Ideas

Picture This: Why Online Image Searches Drive Purchases

randomly provided text-and-image search refinement suggestions to only half of roughly 500,000 users, chosen randomly. A customer in the test group searching for the general term “headphones” would receive... View Details
Keywords: by Rachel Layne; Information Technology; Technology; Consumer Products; Retail
  • February 2020
  • Article

Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs

By: Rachel Gershon, Cynthia Cryder and Leslie K. John
While selfish incentives typically outperform prosocial incentives, in the context of customer referral rewards, prosocial incentives can be more effective. Companies frequently offer “selfish” (i.e., sender-benefiting) referral incentives, offering customers financial... View Details
Keywords: Incentives; Prosocial Behavior; Judgment And Decision-making; Referral Rewards; Motivation and Incentives; Consumer Behavior; Decision Making
Citation
Find at Harvard
Read Now
Related
Gershon, Rachel, Cynthia Cryder, and Leslie K. John. "Why Prosocial Referral Incentives Work: The Interplay of Reputational Benefits and Action Costs." Journal of Marketing Research (JMR) 57, no. 1 (February 2020): 156–172.
  • April, 2023
  • Article

Reducing Information Barriers to Solar Adoption: Experimental Evidence from India

By: Meera Mahadevan, Robyn C. Meeks and Takashi Yamano
Off-grid solar technologies hold promise for unelectrified and low-quality electricity settings; however, their adoption remains low. Important barriers to adoption, such as incomplete information remain relatively unexplored in developing countries. In collaboration... View Details
Keywords: Technology Adoption; Renewable Energy; Knowledge Sharing; Developing Countries and Economies; India
Citation
Read Now
Related
Mahadevan, Meera, Robyn C. Meeks, and Takashi Yamano. "Reducing Information Barriers to Solar Adoption: Experimental Evidence from India." Energy Economics 120 (April, 2023).
  • 2014
  • Other Teaching and Training Material

Marketing Reading: Segmentation and Targeting

By: Sunil Gupta
This Reading introduces two of the integral parts of any marketing strategy: segmentation and targeting. It covers, first, all of the methods, techniques, and variables with which a business first uncovers the full range of its potential customers and then... View Details
Keywords: Behavioral Segmentation; Conjoint Analysis; Demographic Segmentation; Geographic Segmentation; Market Opportunities; Market Segmentation; Marketing; Marketing Strategy; Psychographic Segmentation; Unethical Marketing Practices; United States
Citation
Purchase
Related
Gupta, Sunil. "Marketing Reading: Segmentation and Targeting." Core Curriculum Readings Series. Boston: Harvard Business Publishing 8219, 2014.
  • September 2020 (Revised July 2022)
  • Exercise

Artea (C): Potential Discrimination through Algorithmic Targeting

By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, September 2020. (Revised July 2022.)
  • 2013
  • Working Paper

Non-Standard Matches and Charitable Giving

By: Michael Sanders, Sarah Smith and Michael I. Norton
Many organisations, including corporations and governments, wish to encourage charitable giving, and offer incentives for their employees, customers and citizens to do so. The most common of these incentives is a match rate, where the organisation agrees to pay, for... View Details
Keywords: Motivation and Incentives; Organizational Culture; Philanthropy and Charitable Giving
Citation
Read Now
Related
Sanders, Michael, Sarah Smith, and Michael I. Norton. "Non-Standard Matches and Charitable Giving." Harvard Business School Working Paper, No. 13-094, May 2013.
  • Article

Vungle Inc. Improves Monetization Using Big-Data Analytics

By: Bert De Reyck, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin and Andrew Kritzer
The advent of big data has created opportunities for firms to customize their products and services to unprecedented levels of granularity. Using big data to personalize an offering in real time, however, remains a major challenge. In the mobile advertising industry,... View Details
Keywords: Big Data; Monetization; Data and Data Sets; Advertising; Mobile Technology; Customization and Personalization; Performance Improvement
Citation
Find at Harvard
Purchase
Related
De Reyck, Bert, Ioannis Fragkos, Yael Grushka-Cockayne, Casey Lichtendahl, Hammond Guerin, and Andrew Kritzer. "Vungle Inc. Improves Monetization Using Big-Data Analytics." Interfaces 47, no. 5 (September–October 2017): 454–466.
  • September 2010 (Revised November 2010)
  • Case

Ze-gen: Commercializing Clean Tech

By: Lynda M. Applegate, Kaitlyn Lyons and Scott Prozeller
The Ze-gen case covers the first five years in the life of a clean-tech start-up. Ze-gen had developed an innovative technology that converted solid waste into synthesis gas (called syngas). This technology was in testing at the company's pilot plant, built next to the... View Details
Keywords: Business Startups; Renewable Energy; Entrepreneurship; Financing and Loans; Environmental Sustainability; Commercialization; Green Technology Industry; New Bedford
Citation
Educators
Purchase
Related
Applegate, Lynda M., Kaitlyn Lyons, and Scott Prozeller. "Ze-gen: Commercializing Clean Tech." Harvard Business School Case 811-014, September 2010. (Revised November 2010.)
  • March 1998 (Revised October 2001)
  • Case

Teradyne: Corporate Management of Disruptive Change

By: Joseph L. Bower
Two cases deal with the introduction of a new product to Teradyne's line of semiconductor test equipment. This case deals with the problems facing the head of a start-up division responsible for developing and bringing to market a new product based on technology deemed... View Details
Keywords: Business Startups; Disruption; Management; Market Entry and Exit; Product; Problems and Challenges; Competitive Strategy; Corporate Strategy; Technology
Citation
Find at Harvard
Related
Bower, Joseph L. "Teradyne: Corporate Management of Disruptive Change." Harvard Business School Case 398-121, March 1998. (Revised October 2001.)
  • November 2002 (Revised August 2003)
  • Case

MedSource Technologies

By: Robert S. Huckman
Considers the issues facing Richard Effress, MedSource's chairman and CEO, as the firm approaches the Precision Cut project--the first test of MedSource's capabilities as an integrated, contract manufacturer in the medical device industry. MedSource Technologies was... View Details
Keywords: Product Development; Production; Mergers and Acquisitions; Product Design; Supply Chain Management; Management Teams; Medical Devices and Supplies Industry; United States
Citation
Educators
Purchase
Related
Huckman, Robert S. "MedSource Technologies." Harvard Business School Case 603-081, November 2002. (Revised August 2003.)
  • August 2008
  • Article

Economic Links and Predictable Returns

By: Lauren Cohen and Andrea Frazzini
This paper finds evidence of return predictability across economically linked firms. We test the hypothesis that in the presence of investors subject to attention constraints, stock prices do not promptly incorporate news about economically related firms, generating... View Details
Keywords: Economics; Price; Assets; Analytics and Data Science; Customers; Stocks; Equity; Strategy; Investment Return; Forecasting and Prediction
Citation
Find at Harvard
Read Now
Related
Cohen, Lauren, and Andrea Frazzini. "Economic Links and Predictable Returns." Journal of Finance 63, no. 4 (August 2008). (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2008. Winner of Chicago Quantitative Alliance Academic Paper Competition. First Prize presented by Chicago Quantitative Alliance. Winner of BSI Gamma Foundation Research Grant presented by BSI Gamma Foundation​.)
  • May 2018
  • Article

Effects of an Information Sharing System on Employee Creativity, Engagement, and Performance

By: Shelley Xin Li and Tatiana Sandino
Many service organizations rely on information sharing systems to boost employee creativity to meet customer needs. We conducted a field experiment in a retail chain, based on a registered report accepted by Journal of Accounting Research, to test whether an... View Details
Keywords: Information; Knowledge Sharing; Employees; Creativity; Performance
Citation
Find at Harvard
Related
Li, Shelley Xin, and Tatiana Sandino. "Effects of an Information Sharing System on Employee Creativity, Engagement, and Performance." Journal of Accounting Research 56, no. 2 (May 2018): 713–747.
  • August 2014
  • Case

Opening the Valve: From Software to Hardware (A)

By: Ethan Bernstein, Francesca Gino and Bradley Staats
Valve, one of the world's top video game software companies, has also become an iconic example of an organization with virtually no hierarchy. A 400-person organization, Valve's unique organizational form (described in detail in the case and accompanying employee... View Details
Keywords: Valve; Self-Managed Organizations; Organization Design; Strategy; Flat Organization; Video Games; Organization Alignment; Family Business; Steam; Steam Machine; Design; Games, Gaming, and Gambling; Human Resources; Collaborative Innovation and Invention; Technological Innovation; Leadership Style; Management Practices and Processes; Organizational Design; Organizational Structure; Organizational Culture; Organizational Change and Adaptation; Groups and Teams; Alignment; Software; Hardware; Video Game Industry; Seattle
Citation
Educators
Purchase
Related
Bernstein, Ethan, Francesca Gino, and Bradley Staats. "Opening the Valve: From Software to Hardware (A)." Harvard Business School Case 415-015, August 2014.
  • September 2020 (Revised July 2022)
  • Exercise

Artea (B): Including Customer-Level Demographic Data

By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeting; Algorithmic Bias; Race; Gender; Marketing; Diversity; Customer Relationship Management; Demographics; Prejudice and Bias; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Artea (B): Including Customer-Level Demographic Data." Harvard Business School Exercise 521-022, September 2020. (Revised July 2022.)
  • September 2020 (Revised June 2023)
  • Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Spreadsheet Supplement to Artea Teaching Note." Harvard Business School Spreadsheet Supplement 521-705, September 2020. (Revised June 2023.)
  • September 2020 (Revised July 2022)
  • Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
  • September 2020 (Revised February 2024)
  • Teaching Note

Artea (A), (B), (C), and (D): Designing Targeting Strategies

By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
Keywords: Targeted Advertising; Targeting; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
Citation
Purchase
Related
Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School Teaching Note 521-041, September 2020. (Revised February 2024.)
  • ←
  • 4
  • 5
  • …
  • 28
  • 29
  • →

Are you looking for?

→Search All HBS Web
ǁ
Campus Map
Harvard Business School
Soldiers Field
Boston, MA 02163
→Map & Directions
→More Contact Information
  • Make a Gift
  • Site Map
  • Jobs
  • Harvard University
  • Trademarks
  • Policies
  • Accessibility
  • Digital Accessibility
Copyright © President & Fellows of Harvard College.