Filter Results:
(276)
Show Results For
- All HBS Web (327)
- Faculty Publications (110)
Show Results For
- All HBS Web (327)
- Faculty Publications (110)
Page 1 of 276
Results →
Sort by
- 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.
- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details
Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
- 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.
- 2020
- Conference Presentation
Towards Modeling the Developmental Variability of Human Attention
By: K-H Kim, M. Sano, J. De Freitas, N. Haber and D. L. K. Yamins
- October 1973
- Article
Variable and Self-Service Costs in Reciprocal Allocation Models
By: Robert S. Kaplan
Keywords: Cost
Kaplan, Robert S. "Variable and Self-Service Costs in Reciprocal Allocation Models." Accounting Review 48 (October 1973): 738–748.
- 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).
- October 1994
- Article
Issues in the Estimation and Application of Latent Structure Models of Choice
By: Ulf Bockenholt, Melinda S. de Borrero, Ham Bozdogan, Wayne DeSarbo, William R. Dillon, Sunil Gupta, Wagner Kamakura, Ajith Kumar, V. Ramaswamy and Michael Zenor
Keywords: Decision Choices and Conditions
Bockenholt, Ulf, Melinda S. de Borrero, Ham Bozdogan, Wayne DeSarbo, William R. Dillon, Sunil Gupta, Wagner Kamakura, Ajith Kumar, V. Ramaswamy, and Michael Zenor. "Issues in the Estimation and Application of Latent Structure Models of Choice." Marketing Letters 5, no. 4 (October 1994): 323–334.
- January 1991
- Article
A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects
By: R. Banker, S. Datar and C. Kemerer
Banker, R., S. Datar, and C. Kemerer. "A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects." Management Science 37, no. 1 (January 1991): 1–18.
- 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.
- 26 Oct 2015
- Working Paper Summaries
Applications of Fractional Response Model to the Study of Bounded Dependent Variables in Accounting Research
- 2011
- Working Paper
When Smaller Menus Are Better: Variability in Menu-Setting Ability
Are large menus better than small menus? Recent literature argues that individuals' apparent preference for smaller menus can be explained by choosers' behavioral biases or informational limitations. These explanations imply that absent behavioral or informational... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Investment; Investment Portfolio; Size; Quality
Goldreich, David, and Hanna Halaburda. "When Smaller Menus Are Better: Variability in Menu-Setting Ability." Harvard Business School Working Paper, No. 11-086, February 2011. (Revised April 2011, August 2011, December 2011.)
- Forthcoming
- Article
Estimating Models of Supply and Demand: Instruments and Covariance Restrictions
By: Alexander MacKay and Nathan H. Miller
We consider the identification of empirical models of supply and demand with imperfect competition. We show that a restriction on the covariance between unobserved demand and cost shocks can resolve endogeneity and identify the price parameter. We demonstrate how to... View Details
Keywords: Demand Estimation; Identification; Endogeneity Bias; Covariance Restrictions; Ordinary Least Squares; Instrumental Variables; Price; Demand and Consumers; Competition
MacKay, Alexander, and Nathan H. Miller. "Estimating Models of Supply and Demand: Instruments and Covariance Restrictions." American Economic Journal: Microeconomics (forthcoming). (Direct download.)
- April 2021
- Article
A Model of Multi-Pass Search: Price Search Across Stores and Time
By: Navid Mojir and K. Sudhir
In retail settings with price promotions, consumers often search across stores and time. However, the search literature typically only models one pass search across stores, ignoring revisits to stores; the choice literature using scanner data has modeled search across... View Details
Keywords: Consumer Search; Multi-pass Search; Price Search; Store Search; Spatial Search; Temporal Search; Spatiotemporal Search; Dynamic Structural Models; MPEC; Price Promotions; Store Loyalty; Consumer Behavior; Price; Spending; Marketing; Mathematical Methods
Mojir, Navid, and K. Sudhir. "A Model of Multi-Pass Search: Price Search Across Stores and Time." Management Science 67, no. 4 (April 2021): 2126–2150.
- 26 Nov 2018
- Working Paper Summaries
Demand Estimation in Models of Imperfect Competition
Keywords: by Alexander MacKay and Nathan H. Miller
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s... View Details
Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
- September–October 2020
- Article
The Air War Versus the Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections
By: Lingling Zhang and Doug J. Chung
This study jointly examines the effects of television advertising and field operations in U.S. presidential elections, with the former referred to as the “air war” and the latter as the “ground game.” Specifically, the study focuses on how different campaign... View Details
Keywords: Multi-channel Marketing; Ground Campaigning; Political Campaigns; Discrete-choice Model; Instrumental Variables; Political Elections; Marketing Channels; Advertising; United States
Zhang, Lingling, and Doug J. Chung. "The Air War Versus the Ground Game: An Analysis of Multi-Channel Marketing in U.S. Presidential Elections." Marketing Science 39, no. 5 (September–October 2020): 872–892.
- Article
DEA Model with Shared Resources and Efficiency Decomposition
By: Yao Chen, Juan Du, H. David Sherman and Joe Zhu
Data envelopment analysis (DEA) has proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs. In many real world scenarios, DMUs have a two-stage network process with shared input... View Details
Chen, Yao, Juan Du, H. David Sherman, and Joe Zhu. "DEA Model with Shared Resources and Efficiency Decomposition." European Journal of Operational Research 207, no. 1 (November 2010): 339–349.
- 2012
- Working Paper
Expertise Dissensus: A Multi-level Model of Teams' Differing Perceptions about Member Expertise
By: Heidi K. Gardner and Lisa Kwan
Why are some teams more effective than others at using their members' expertise to achieve short-term performance and longer term developmental benefits? We propose that a critical factor is expertise dissensus-members' differing perceptions of each other's level of... View Details
Keywords: Groups and Teams; Failure; Experience and Expertise; Research; Performance Effectiveness; Knowledge Use and Leverage; Perception; Personal Development and Career
Gardner, Heidi K., and Lisa Kwan. "Expertise Dissensus: A Multi-level Model of Teams' Differing Perceptions about Member Expertise." Harvard Business School Working Paper, No. 12-070, February 2012. (Revised March 2012.)
- June 2023 (Revised September 2023)
- Simulation
Managing the Customer Journey Marketing Simulation: Adobe's Data-Driven Operating Model (DDOM)
By: Sunil Gupta, Rajiv Lal and Celine Chammas
Adobe started monitoring Annual Recurring Revenue (ARR), one of its primary metrics, when it shifted from selling its software in a box to selling the software as a subscription-based cloud service. They wanted to know when, where, and how much to invest in marketing.... View Details
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.