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- Faculty Publications (73)
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- All HBS Web
(335)
- Faculty Publications (73)
- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first... View Details
Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- 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
- September 2018
- Article
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work-scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Management Science 64, no. 9 (September 2018): 4389–4407. (Working paper available here. Winner of the 2017 Best Paper Competition of the POMS College of Healthcare Operations Management. Featured in Forbes, Quartz, and Inc.)
- 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.)
- February 2018 (Revised December 2020)
- Case
People Analytics at Teach For America (A)
By: Jeffrey T. Polzer and Julia Kelley
As of mid-2016, national nonprofit Teach For America (TFA) had struggled with three consecutive years of declining application totals, and senior management was re-examining the organization's strategy, including recruitment and selection. A few months earlier, former... View Details
Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (A)." Harvard Business School Case 418-013, February 2018. (Revised December 2020.)
- January–February 2018
- Article
Some Customers Would Rather Leave Without Saying Goodbye
By: Eva Ascarza, Oded Netzer and Bruce G.S. Hardie
We investigate the increasingly common business setting in which companies face the possibility of both observed and unobserved customer attrition (i.e., “overt” and “silent” churn) in the same pool of customers. This is the case for many online-based services where... View Details
Keywords: Churn; Retention; Attrition; Customer Base Analysis; Hidden Markov Models; Latent Variable Models; Customer Relationship Management; Consumer Behavior
Ascarza, Eva, Oded Netzer, and Bruce G.S. Hardie. "Some Customers Would Rather Leave Without Saying Goodbye." Marketing Science 37, no. 1 (January–February 2018): 54–77.
- 2017
- Article
Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds
By: John Y. Campbell, Adi Sunderam and Luis M. Viceira
The covariance between U.S. Treasury bond returns and stock returns has moved considerably over time. While it was slightly positive on average in the period 1953–2009, it was unusually high in the early 1980s and negative in the 2000s, particularly in the downturns of... View Details
Campbell, John Y., Adi Sunderam, and Luis M. Viceira. "Inflation Bets or Deflation Hedges? The Changing Risks of Nominal Bonds." Critical Finance Review 6, no. 2 (2017): 263–301.
- 2016
- Working Paper
Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation
By: Rafael Di Tella, Juan Dubra and Alejandro Lagomarsino
We analyze the role of people’s beliefs about the rich in the determination of public policy in the context of a randomized online survey experiment. A question we study is the desirability of government-private sector meetings, a variable we argue is connected to... View Details
Keywords: Business Legitimacy; State Capacity; Meetings; Taxes; Top 1%; Regulation; Prejudice and Bias; Values and Beliefs; Taxation; Business and Government Relations
Di Tella, Rafael, Juan Dubra, and Alejandro Lagomarsino. "Meet the Oligarchs: Business Legitimacy, State Capacity and Taxation." Harvard Business School Working Paper, No. 17-046, December 2016.
- 2017
- Working Paper
Discretionary Task Ordering: Queue Management in Radiological Services
By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Delegation; Behavioral Operations; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
- January 22, 2015
- Other Article
Are Capital Controls Effective? Firm-level Evidence from Brazil
By: Laura Alfaro, Anusha Chari and Fabio Kanczuk
Capital controls are back in fashion. This column discusses new firm-level evidence from Brazil showing that capital controls segment international financial markets, reduce external financing, and lower firm-level investment. They disproportionately affect small,... View Details
Alfaro, Laura, Anusha Chari, and Fabio Kanczuk. "Are Capital Controls Effective? Firm-level Evidence from Brazil." Vox, CEPR Policy Portal (January 22, 2015).
- Article
Aztec Castles and the dP3 Quiver
By: Megan Leoni, Gregg Musiker, Seth Neel and Paxton Turner
Bipartite, periodic, planar graphs known as brane tilings can be associated to a large class of quivers. This paper will explore new algebraic properties of the well-studied del Pezzo 3 (dP3) quiver and geometric properties of its corresponding brane tiling. In... View Details
Leoni, Megan, Gregg Musiker, Seth Neel, and Paxton Turner. "Aztec Castles and the dP3 Quiver." Journal of Physics A: Mathematical and Theoretical 47, no. 47 (November 28, 2014).
- October 2014 (Revised August 2018)
- Case
Caesars Entertainment
By: Janice H. Hammond and Aldo Sesia
This case describes the introduction of a regression analysis model for forecasting guest arrivals to Caesars Palace hotel in Las Vegas, Nevada. The company will use the forecast to staff the front desk in the hotel. The staff is unionized and the company has little... View Details
Keywords: Forecasting; Staffing; Gaming; Gaming Industry; Hotel Industry; Decision Making; Forecasting and Prediction; Human Resources; Selection and Staffing; Entertainment; Games, Gaming, and Gambling; Operations; Service Delivery; Service Operations; Accommodations Industry; Travel Industry; Tourism Industry; Food and Beverage Industry; Las Vegas
Hammond, Janice H., and Aldo Sesia. "Caesars Entertainment." Harvard Business School Case 615-031, October 2014. (Revised August 2018.)
- 2013
- Working Paper
Separating Homophily and Peer Influence with Latent Space
By: Joseph P. Davin, Sunil Gupta and Mikolaj Jan Piskorski
We study the impact of peer behavior on the adoption of mobile apps in a social network. To identify social influence properly, we introduce latent space as an approach to control for latent homophily, the idea that "birds of a feather flock together." In a series of... View Details
Keywords: Social Influence; Social Network; Mobile App; Peer Effects; Latent Homophily; Latent Space; Proxy Variables; Familiarity; Behavior; Consumer Behavior; Applications and Software; Social and Collaborative Networks; Mobile and Wireless Technology; Power and Influence; Social Media
Davin, Joseph P., Sunil Gupta, and Mikolaj Jan Piskorski. "Separating Homophily and Peer Influence with Latent Space." Harvard Business School Working Paper, No. 14-053, January 2014.
- July–August 2013
- Article
A Joint Model of Usage and Churn in Contractual Settings
By: Eva Ascarza and Bruce G.S. Hardie
As firms become more customer-centric, concepts such as customer equity come to the fore. Any serious attempt to quantify customer equity requires modeling techniques that can provide accurate multiperiod forecasts of customer behavior. Although a number of researchers... View Details
Keywords: Churn; Retention; Contractual Settings; Access Services; Hidden Markov Models; RFM; Latent Variable Models; Customer Value and Value Chain; Consumer Behavior
Ascarza, Eva, and Bruce G.S. Hardie. "A Joint Model of Usage and Churn in Contractual Settings." Marketing Science 32, no. 4 (July–August 2013): 570–590.
- 2011
- Article
Smart News Feeds for Social Networks Using Scalable Joint Latent Factor Models
By: Himabindu Lakkaraju, Angshu Rai and Srujana Merugu
Lakkaraju, Himabindu, Angshu Rai, and Srujana Merugu. "Smart News Feeds for Social Networks Using Scalable Joint Latent Factor Models." Proceedings of the International World Wide Web Conference 20th (2011).
- September 2010
- Article
Strategies to Fight Ad-sponsored Rivals
By: Ramon Casadesus-Masanell and Feng Zhu
We analyze the optimal strategy of a high-quality incumbent that faces a low-quality ad-sponsored competitor. In addition to competing through adjustments of tactical variables such as price or the number of ads a product carries, we allow the incumbent to consider... View Details
Keywords: Strategy; Business Models; Tactics; Pricing; Business Model; Advertising; Competition; Quality; Price; Product Marketing
Casadesus-Masanell, Ramon, and Feng Zhu. "Strategies to Fight Ad-sponsored Rivals." Management Science 56, no. 9 (September 2010): 1484–1499.
- May 2010
- Supplement
Tim Westergren of Pandora Radio
By: Willy C. Shih and Halle Alicia Tecco
Pandora Radio is at a crossroads. Founder Tim Westergren has just been told by a well known VC to get rid of his unprofitable customers in order to get his costs down, but Westergren is not sure that such actions are consistent with his company's business model.... View Details
Keywords: History; Business Model; Customers; Venture Capital; Internet and the Web; Cost Management; Outcome or Result; Customization and Personalization; Growth and Development Strategy; Music Industry
Shih, Willy C., and Halle Alicia Tecco. "Tim Westergren of Pandora Radio." Harvard Business School Video Supplement 610-714, May 2010.
- 2001
- Working Paper
Strategies to Fight Ad-sponsored Rivals
By: Ramon Casadesus-Masanell and Feng Zhu
We analyze the optimal strategy of a high-quality incumbent that faces a low-quality ad-sponsored competitor. In addition to competing through adjustments of tactical variables such as price or the number of ads a product carries, we allow the incumbent to consider... View Details
Casadesus-Masanell, Ramon, and Feng Zhu. "Strategies to Fight Ad-sponsored Rivals." Harvard Business School Working Paper, No. 10-026, September 2009. (Revised March 2010.)