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  • 2023
  • Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
Keywords: Analytics and Data Science
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  • 2021
  • Working Paper

Population Interference in Panel Experiments

By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
Keywords: Finite Population; Potential Outcomes; Dynamic Causal Effects; Mathematical Methods
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  • Web

Student Research - Doctoral

Organizations & Markets 3 results Iavor I. Bojinov Technology and Operations Management 2 results Amitabh Chandra Technology and Operations... View Details
  • 2023
  • Working Paper

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details
Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior
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  • September 16, 2022
  • Article

A Causal Test of the Strength of Weak Ties

By: Karthik Rajkumar, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson and Sinan Aral
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest... View Details
Keywords: Job Mobility; Social Networks; Social Ties; Networks; Personal Development and Career
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  • 2021
  • Working Paper

Quantifying the Value of Iterative Experimentation

By: Iavor I Bojinov and Jialiang Mao
Over the past decade, most technology companies and a growing number of conventional firms have adopted online experimentation (or A/B testing) into their product development process. Initially, A/B testing was deployed as a static procedure in which an experiment was... View Details
Keywords: Product Development; Value Creation; Research
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  • Blog

Is AI Coming for Your Job?

prudent approach for knowledge workers is to harness the potential of AI as a complementary tool, amplifying their capabilities and adapting to the evolving landscape of work. Iavor View Details
  • March–April 2020
  • Article

Avoid the Pitfalls of A/B Testing

By: Iavor I. Bojinov, Guillaume Sait-Jacques and Martin Tingley
Online experiments measuring whether “A,” usually the current approach, is inferior to “B,” a proposed improvement, have become integral to the product-development cycle, especially at digital enterprises. But often firms make serious mistakes in conducting these... View Details
Keywords: A/B Testing; Experiment Design; Social Networks; Product Development; Performance Improvement; Measurement and Metrics; Social Media
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  • Web

Annual Report 2020 - Annual Report 2020

have been driven by subscriptions—both digital and print, as well as new and renewals—which increased 8.4% from June 2018 to June 2019. In 2019, HBR introduced HBR Presents , a... View Details