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Show Results For
- All HBS Web
(2,677)
- People (5)
- News (495)
- Research (1,634)
- Events (15)
- Multimedia (27)
- Faculty Publications (940)
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- 2021
- Working Paper
Science-Based Carbon Emissions Targets
By: David Freiberg, Jody Grewal and George Serafeim
We examine the effect of voluntarily adopting a standard for setting science-based carbon emissions targets on target difficulty and investments to achieve those targets. We find that firms with a track record of setting and achieving ambitious carbon targets are more... View Details
Keywords: Target; Targeting; Target-setting; Target Efficiency; Management Control Systems; Management Accounting; Environment; Environmental And Social Sustainability; Climate Change; Environmental Management; Environmental Accounting; Environmental Sustainability; Management Analysis, Tools, and Techniques
Freiberg, David, Jody Grewal, and George Serafeim. "Science-Based Carbon Emissions Targets." Harvard Business School Working Paper, No. 21-108, March 2021.
- 2020
- Working Paper
Targeting for Long-Term Outcomes
By: Jeremy Yang, Dean Eckles, Paramveer Dhillon and Sinan Aral
Decision makers often want to target interventions so as to maximize an outcome that is observed only in the long term. This typically requires delaying decisions until the outcome is observed or relying on simple short-term proxies for the long-term outcome. Here we... View Details
Keywords: Targeted Marketing; Optimization; Churn Management; Marketing; Customer Relationship Management; Policy; Learning; Outcome or Result
Yang, Jeremy, Dean Eckles, Paramveer Dhillon, and Sinan Aral. "Targeting for Long-Term Outcomes." Working Paper, October 2020.
- 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
Ascarza, Eva, and Ayelet Israeli. "Artea (C): Potential Discrimination through Algorithmic Targeting." Harvard Business School Exercise 521-037, 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
- 25 May 2023
- Video
Target Lists
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
- March 2024
- Article
The Asymmetric Mispricing Information in Analysts’ Target Prices
By: Jeremiah Green, John R. M. Hand and Anywhere Sikochi
We study the mispricing information present in the target prices of U.S. and international analysts. We hypothesize that asymmetry in the value-relevance of the information that managers supply to analysts, combined with asymmetry in the incentives facing analysts to... View Details
Keywords: Analysts; Target Prices; Mispricing; Cost Of Equity; Valuation; Price; Cost; Analysis; Theory
Green, Jeremiah, John R. M. Hand, and Anywhere Sikochi. "The Asymmetric Mispricing Information in Analysts’ Target Prices." Review of Accounting Studies 29, no. 1 (March 2024): 889–915.
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
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: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to 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... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- October 2012
- Article
Target the Right Market
By: Jill Avery and Thomas Steenburgh
SparkPlace is a two-year-old business with a hot new product: software that manages and measures the effectiveness of permission-based marketing campaigns for social media. The company is in the process of deciding on which of two customer segments to focus its... View Details
Keywords: Marketing; Market Segmentation; Customer Defection; Customer Lifetime Value; Customer Relationship Management; CRM; Market Segmentation And Target Market Selection; Marketing Strategy; Product Marketing; Customer Focus and Relationships; Customer Value and Value Chain; Technology Industry; United States
Avery, Jill, and Thomas Steenburgh. "Target the Right Market." Harvard Business Review 90, no. 10 (October 2012): 119–123.
- July–August 2024
- Article
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to... View Details
Keywords: Long-run Targeting; Heterogeneous Treatment Effect; Statistical Surrogacy; Customer Churn; Field Experiments; Consumer Behavior; Customer Focus and Relationships; AI and Machine Learning; Marketing Strategy
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Marketing Science 43, no. 4 (July–August 2024): 863–884.
- July 2016 (Revised January 2019)
- Case
Cyber Breach at Target
By: Suraj Srinivasan, Lynn S. Paine and Neeraj Goyal
In November and December of 2013, Target Corporation suffered one of the largest cyber breaches to date. The breach that occurred during the busy holiday shopping season resulted in personal and credit card information of approximately 110 million Target customers... View Details
Keywords: Safety; Credit Cards; Customer Relationship Management; Internet and the Web; Governing and Advisory Boards; Crisis Management; Retail Industry
Srinivasan, Suraj, Lynn S. Paine, and Neeraj Goyal. "Cyber Breach at Target." Harvard Business School Case 117-027, July 2016. (Revised January 2019.)
- 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
Ascarza, Eva, and Ayelet Israeli. "Artea (D): Discrimination through Algorithmic Bias in Targeting." Harvard Business School Exercise 521-043, September 2020. (Revised July 2022.)
- 12 Sep 2014
- News
Moving targets
- February 2019
- Article
Who Benefits Most in Disease Management Programs: Improving Target Efficiency
By: Timothy Simcoe, Maryaline Catillon and Paul Gertler
Disease management programs aim to reduce cost by improving the quality of care for chronic diseases. Evidence of their effectiveness is mixed. Reducing health care spending sufficiently to cover program costs has proved particularly challenging. This study uses a... View Details
Keywords: Health Economics; Target Efficiency; Diabetes; Disease Management; Program Evaluation; Heterogeneity; Economics; Health; Quality; Health Care and Treatment; Cost Management; Health Industry
Simcoe, Timothy, Maryaline Catillon, and Paul Gertler. "Who Benefits Most in Disease Management Programs: Improving Target Efficiency." Health Economics 28, no. 2 (February 2019): 189–203.
- 2023
- Working Paper
Accountability of Corporate Emissions Reduction Targets
By: Xiaoyan Jiang, Shawn Kim and Shirley Lu
Firms are increasingly announcing targets to reduce their carbon emissions, but it is unclear whether firms are held accountable for these targets. In this paper, we examine emissions targets that ended in 2020 to investigate the prevalence of missed targets, how firms... View Details
Keywords: Carbon Emissions; Corporate Disclosure; Corporate Accountability; Corporate Social Responsibility and Impact; Climate Change
Jiang, Xiaoyan, Shawn Kim, and Shirley Lu. "Accountability of Corporate Emissions Reduction Targets." SSRN Working Paper Series, No. 4676649, December 2023.
- February 2011
- Article
Target Ratcheting and Effort Reduction
By: J. Bouwens and Peter Kroos
In this paper, we examine how retail store managers reduce their sales activity in response to target ratcheting. We find that managers with favorable sales performance in the first three quarters reduce their sales activity in the final quarter. We also document that... View Details
Keywords: Target-setting; Ratchet Effect; Manipulating Real Economic Activities; Goals and Objectives; Strategy; Performance Evaluation; Sales
Bouwens, J., and Peter Kroos. "Target Ratcheting and Effort Reduction." Journal of Accounting & Economics 51, nos. 1-2 (February 2011): 171–185.
- June 2009 (Revised January 2011)
- Case
Target Corporation: Ackman versus the Board
By: Krishna G. Palepu, Suraj Srinivasan and James Weber
After 15 years of great performance, Target's faltering performance during an economic downturn led an activist shareholder to initiate a proxy fight. Target Corporation, the second largest discount store retailer in the U.S., had competed successfully against industry... View Details
Keywords: Financial Crisis; Investment Activism; Governing and Advisory Boards; Business and Shareholder Relations; Business Strategy; Value; Retail Industry
Palepu, Krishna G., Suraj Srinivasan, and James Weber. "Target Corporation: Ackman versus the Board." Harvard Business School Case 109-010, June 2009. (Revised January 2011.)
- December 2019
- Article
Patent Trolls: Evidence from Targeted Firms
By: Lauren Cohen, Umit Gurun and Scott Duke Kominers
We provide the first large-sample evidence on the behavior and impact of nonpracticing entities (NPEs) in the intellectual-property space. We find that, on average, NPEs appear to behave as opportunistic “patent trolls.” NPEs sue cash-rich firms and target cash in... View Details
Keywords: Patent Trolls; Innovation; Patents; Lawsuits and Litigation; Ethics; Innovation and Invention
Cohen, Lauren, Umit Gurun, and Scott Duke Kominers. "Patent Trolls: Evidence from Targeted Firms." Management Science 65, no. 12 (December 2019): 5461–5486. (Cited in the United States Federal Trade Commission Report on Patent Assertion Entities, 2016.)
- September 1989 (Revised March 1992)
- Case
Target Sport Adventures
Schlesinger, Leonard A. "Target Sport Adventures." Harvard Business School Case 690-014, September 1989. (Revised March 1992.)