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- March 2020
- Supplement
People Analytics at Teach For America (B)
By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, situated one year after the A case, Managing Director Michael Metzger must decide how to apply his team's predictive models generated from the previous year’s data. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting; Analytics and Data Science; Forecasting and Prediction; Recruitment; Selection and Staffing; Talent and Talent Management
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 420-086, March 2020.
- May–June 2023
- Article
Unmasking Behaviors During the Pandemic with Video Analytics
By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors.... View Details
Zhang, Shunyuan, Kaiquan Xu, and Kannan Srinivasan. "Unmasking Behaviors During the Pandemic with Video Analytics." Marketing Science 42, no. 3 (May–June 2023): 440–450.
- February 2018 (Revised December 2020)
- Supplement
People Analytics at Teach For America (Data Set)
This data set is a supplement to the People Analytics at Teach For America (A) case. View Details
- September 2019
- Case
Starling Trust Sciences: Measuring Trust in Organizations
By: Aiyesha Dey, Jonas Heese and James Weber
Stephen Scott needed to decide whether to keep his behavioral analytics startup in the people analytics sector or shift his company into the RegTech sector. Starling had develop technology that enabled its customers to anticipate and shape the behavior of their... View Details
Keywords: Behavioral Analytics; Financial Institutions; Banks and Banking; Entrepreneurship; Strategy; Banking Industry; Consulting Industry; Information Technology Industry; United States; United Kingdom
Dey, Aiyesha, Jonas Heese, and James Weber. "Starling Trust Sciences: Measuring Trust in Organizations." Harvard Business School Case 120-006, September 2019.
- December 2022
- Article
The Rise of People Analytics and the Future of Organizational Research
By: Jeff Polzer
Organizations are transforming as they adopt new technologies and use new sources of data, changing the experiences of employees and pushing organizational researchers to respond. As employees perform their daily activities, they generate vast digital data. These data,... View Details
Keywords: Organizational Change and Adaptation; Analytics and Data Science; Technology Adoption; Employees
Polzer, Jeff. "The Rise of People Analytics and the Future of Organizational Research." Art. 100181. Research in Organizational Behavior 42 (December 2022). (Supplement.)
- fall 2008
- Article
Toward a Theory of Behavioral Operations
By: Francesca Gino and Gary P. Pisano
Human beings are critical to the functioning of the vast majority of operating systems, influencing both the way these systems work and how they perform. Yet most formal analytical models of operations assume that the people who participate in operating systems are... View Details
Keywords: Management Systems; Operations; Mathematical Methods; Behavior; Cognition and Thinking; Perspective; Theory
Gino, Francesca, and Gary P. Pisano. "Toward a Theory of Behavioral Operations." Manufacturing & Service Operations Management 10, no. 4 (fall 2008): 676–691.
- Teaching Interest
Harvard Business Analytics Program: Operations and Supply Chain Management
By: Dennis Campbell
Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. This course emphasizes managing product availability, especially in a context of rapid product... View Details
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)
- February 2021
- Article
Testing the Waters: Behavior across Participant Pools
By: Erik Snowberg and Leeat Yariv
We leverage a large-scale incentivized survey eliciting behaviors from (almost) an entire university student population, a representative sample of the U.S. population, and Amazon Mechanical Turk (MTurk) to address concerns about the external validity of experiments... View Details
Keywords: Lab Selection; External Validity; Experiments; Behavior; Surveys; Analytics and Data Science; Analysis
Snowberg, Erik, and Leeat Yariv. "Testing the Waters: Behavior across Participant Pools." American Economic Review 111, no. 2 (February 2021): 687–719.
- August 2018 (Revised September 2018)
- Supplement
Predicting Purchasing Behavior at PriceMart (B)
By: Srikant M. Datar and Caitlin N. Bowler
Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (B)." Harvard Business School Supplement 119-026, August 2018. (Revised September 2018.)
- December 2013
- Article
How Google Sold Its Engineers on Management
By: David A. Garvin
High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details
Keywords: Organizational Behavior; Human Resource Management; Managing Change; Organizational Change; Analytics; Management; Leadership; Human Resources; Talent and Talent Management
Garvin, David A. "How Google Sold Its Engineers on Management." R1312D. Harvard Business Review 91, no. 12 (December 2013): 74–82.
- August 2019
- Case
Bark Gift Shop Ltd.
By: Susanna Gallani, Jan Bouwens and Peter Kroos
This case describes a setting in which the CFO of Bark Gift Shop Ltd., a gift items retailer, discovers an undesired pattern in the performance data suggesting that her shop managers that perform well during the first part of the year, purposely reduce their effort in... View Details
Keywords: Data Analytics; Employees; Behavior; Performance; Management; Goals and Objectives; Motivation and Incentives; Analysis
Gallani, Susanna, Jan Bouwens, and Peter Kroos. "Bark Gift Shop Ltd." Harvard Business School Case 120-008, August 2019.
- Article
Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired
Richard Walton and Robert McKersie's closeness to practice, disciplinary rigor, and successful search for powerful generalizations help explain the lasting impact of the Behavioral Theory of Labor Relations. Ironically, the names they chose for the fundamental... View Details
Sebenius, James K. "Why A Behavioral Theory of Labor Negotiations Remains a Triumph at Fifty but the Labels 'Distributive' and 'Integrative' Should Be Retired." Negotiation Journal 31, no. 4 (October 2015): 335–347.
- Forthcoming
- Article
Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation
By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
- May 2018
- Case
The Multiple Myeloma Research Foundation's Answer Fund
By: Richard G. Hamermesh and Matthew G. Preble
Keywords: Data Analytics; Customer Focus and Relationships; Customer Relationship Management; Cost vs Benefits; Investment Return; Health Care and Treatment; Innovation Leadership; Intellectual Property; Knowledge Sharing; Knowledge Dissemination; Leadership; Leading Change; Resource Allocation; Goals and Objectives; Marketing Communications; Performance; Programs; Projects; Business and Community Relations; Business and Stakeholder Relations; Networks; Partners and Partnerships; Research and Development; Genetics; Behavior; Motivation and Incentives; Social and Collaborative Networks; Nonprofit Organizations; Strategy; Health Industry; Pharmaceutical Industry; Biotechnology Industry; United States
- October 1994
- Article
When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior
By: R. S. Winer, R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon and A. Mitchell
Winer, R. S., R.E. Bucklin, J. A. Deighton, J. Erdem, P.S. Fader, J.J. Inman, H. Katahira, Katherine N. Lemon, and A. Mitchell. "When Worlds Collide: The Implications of Panel Data-Based Choice Models for Consumer Behavior." Marketing Letters 5, no. 4 (October 1994).
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Brands; Brand ＆ Product Management; Big Data; ＂Marketing Analytics＂; Consumer Behavior; Predictive Analytics; Forecasting; Preferences; Operation Management; Distribution Channels; Marketing; Marketing Channels; Marketing Strategy; Brands and Branding; Forecasting and Prediction; Data and Data Sets; Retail Industry; Fashion Industry; Apparel and Accessories Industry; United States; North America
- Article
Consumer Neuroscience: Advances in Understanding Consumer Psychology
By: Uma R. Karmarkar and Carolyn Yoon
While the study of consumer behavior has been enriched by improved abilities to generate new insights, many of the mechanisms underlying judgments and decision making remain difficult to investigate. In this review, we highlight some of the ways in which our... View Details
Keywords: Consumer Neuroscience; Neuroscience; Neuroeconomics; Consumer Psychology; Customer Behavior; Predictive Analytics; Neural Prediction; Neuroimaging; fMRI; Eye-tracking; Consumer Behavior; Marketing
Karmarkar, Uma R., and Carolyn Yoon. "Consumer Neuroscience: Advances in Understanding Consumer Psychology." Current Opinion in Psychology 10 (August 2016): 160–165.
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big... View Details
Keywords: Retailing; Preference Elicitation; Big Data; Predictive Analytics; Artificial Intelligence; Fashion; Marketing; Marketing Strategy; Marketing Channels; Brands and Branding; Consumer Behavior; Demand and Consumers; Analytics and Data Science; Forecasting and Prediction; E-commerce; Apparel and Accessories Industry; Consumer Products Industry; Fashion Industry; Retail Industry; United States; Canada; North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- Article
The Impact of the 'Open' Workspace on Human Collaboration
By: Ethan Bernstein and Stephen Turban
Organizations’ pursuit of increased workplace collaboration has led managers to transform traditional office spaces into “open,” transparency-enhancing architectures with fewer walls, doors, and other spatial boundaries, yet there is scant direct empirical research on... View Details
Keywords: Open Office; Transparency; Collaboration; Collective Intelligence; Workspace; Workspace Design; Architecture; Cubicles; Boundaries; Spatial Boundaries; Human Behavior; Propinquity; Co-location; Interaction; Sociometers; People Analytics; Buildings and Facilities; Communication; Design; Human Resources; Leadership; Management; Organizational Design; Organizational Structure; Networks; Social and Collaborative Networks; Information Technology; United States
Bernstein, Ethan, and Stephen Turban. "The Impact of the 'Open' Workspace on Human Collaboration." Art. 239. Philosophical Transactions of the Royal Society B, Biological Sciences 373, no. 1753 (August 19, 2018).