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  • March 2022 (Revised July 2022)
  • Module Note

Prediction & Machine Learning
By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...  View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation
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  • Article

Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology
By: Palak Kundu, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
Background
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that...  View Details
Keywords: Psychological Safety; Near-miss Reporting; Health Care and Treatment; Safety
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  • 2018
  • Working Paper

Opportunistic Returns and Dynamic Pricing: Empirical Evidence from Online Retailing in Emerging Markets
By: Chaithanya Bandi, Antonio Moreno, Donald Ngwe and Zhiji Xu
We investigate how dynamic pricing can lead to more product returns in the online retail industry. Using detailed sales data of more than two million transactions from the Indian online retail market, where price promotions are very common, we document two types of...  View Details
Keywords: Cash On Delivery; Dynamic Pricing; Online Retail; Payment Methods; Strategic Customer Behavior; Opportunistic Returns; Price; Policy; Consumer Behavior; Emerging Markets; Retail Industry
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  • 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
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  • May 2017
  • Other Article

Stepwise Distributed Open Innovation Contests for Software Development: Acceleration of Genome-Wide Association Analysis
By: Andrew Hill, Po-Ru Loh, Ragu B. Bharadwaj, Pascal Pons, Jingbo Shang, Eva C. Guinan, Karim R. Lakhani, Iain Kilty and Scott Jelinsky
BACKGROUND: The association of differing genotypes with disease-related phenotypic traits offers great potential to both help identify new therapeutic targets and support stratification of patients who would gain the greatest benefit from specific drug classes....  View Details
Keywords: Crowdsourcing; Genome-wide Association Study; Logistic Regression; Open Innovation; PLINK; Collaborative Innovation and Invention
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  • Article

Effects of Description of Options on Parental Perinatal Decision-Making
By: Marlyse F. Haward, Leslie K. John, John M. Lorenz and Baruch Fischhoff
Objective: To examine whether parents' delivery room management decisions for extremely preterm infants are influenced by (a) the degree of detail with which options-comfort care (CC) or intensive care (IC)-are presented or (b) their order of presentation. Methods: 309...  View Details
Keywords: Decision Making; Values and Beliefs; Personal Characteristics; Attitudes; Motivation and Incentives; Family and Family Relationships; Health Care and Treatment
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