Man Sci
Introduction
Management Science, 72(1)
INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs
Introduction to the Special Issue on the Human-Algorithm Connection
—Felipe Caro, Jean-Edouard Colliard, Elena Katok, Axel Ockenfels, Nicolas Stier-Moses, Catherine Tucker, and D. J. Wu []
Human-Robot Interactions in Investment Decisions
—Milo Bianchi and Marie Brière []
Trading Gamification and Investor Behavior
—Philipp Chapkovski, Mariana Khapko, and Marius Zoican []
Human-Centered Artificial Intelligence: A Field Experiment
—Sebastian Krakowski, Darek Haftor, Johannes Luger, Natallia Pashkevich, and Sebastian Raisch []
Engaging Customers with AI in Online Chats: Evidence from a Randomized Field Experiment
—Shunyuan Zhang and Das Narayandas []
The Power of Disagreement: A Field Experiment to Investigate Human–Algorithm Collaboration in Loan Evaluations
—Hongchang Wang, Yingjie Zhang, and Tian Lu []
Profit Implications of Judgmental Adjustments to Forecast Inputs: Evidence from a Large-Scale Field Experiment
—Saravanan Kesavan, Tarun Kushwaha, and Dayton Steele []
Managerial Insight and “Optimal” Algorithms
—Blair Flicker []
Algorithmic Precision and Human Decision: A Study of Interactive Optimization for School Schedules
—Arthur Delarue, Zhen Lian, and Sebastien Martin []
Reciprocal Human-Machine Learning: A Theory and an Instantiation for the Case of Message Classification
—Dov Te’eni, Inbal Yahav, Alexely Zagalsky, David Schwartz, Gahl Silverman, Daniel Cohen, Yossi Mann, and Dafna Lewinsky []
Algorithm Aversion: Evidence from Ridesharing Drivers
—Meng Liu, Xiaocheng Tang, Siyuan Xia, Shuo Zhang, Yuting Zhu, and Qianying Meng []
Using AI and Behavioral Finance to Cope with Limited Attention and Reduce Overdraft Fees
—Daniel Ben-David, Ido Mintz, and Orly Sade []
Identity Disclosure and Anthropomorphism in Voice Chatbot Design: A Field Experiment
—Yuqian Xu, Hongyan Dai, and Wanfeng Yan []
My Advisor, Her AI, and Me: Evidence from a Field Experiment on Human–AI Collaboration and Investment Decisions
—Cathy (Liu) Yang, Kevin Bauer, Xitong Li, and Oliver Hinz []
Human-Algorithm Collaboration with Private Information: Naïve Advice-Weighting Behavior and Mitigation
—Maya Balakrishnan, Kris Johnson Ferreira, and Jordan Tong []
Aversion to Hiring Algorithms: Transparency, Gender Profiling, and Self-Confidence
—Marie-Pierre Dargnies, Rustamdjan Hakimov, and Dorothea Kübler []
Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study
—Ben Greiner, Philipp Grünwald, Thomas Lindner, Georg Lintner, and Martin Wiernsperger []
Humans’ Use of AI Assistance: The Effect of Loss Aversion on Willingness to Delegate Decisions
—Jesse C. Bockstedt and Joseph R. Buckman []
Till Tech Do Us Part: Betrayal Aversion and Its Role in Algorithm Use
—Cameron Kormylo, Idris Adjerid, Sheryl Ball, and Can Dogan []
Algorithm Reliance: Fast and Slow
—Clare Snyder, Samantha Keppler, and Stephen Leider []
Digital Lyrebirds: Experimental Evidence That Voice-Based Deep Fakes Influence Trust
—Scott Schanke, Gordon Burtch, and Gautam Ray []
The Fairness of Credit Scoring Models
—Christophe Hurlin, Christophe Pérignon, and Sébastien Saurin []
The Gatekeeper Effect: The Implications of Pre-Screening, Self-Selection, and Bias for Hiring Processes
—Moran Koren []
On Statistical Discrimination as a Failure of Social Learning: A Multiarmed Bandit Approach
—Junpei Komiyama and Shunya Noda []
Learning to Be Fair: A Consequentialist Approach to Equitable Decision Making
—Alex Chohlas-Wood, Madison Coots, Henry Zhu, Emma Brunskill, and Sharad Goel []
Can Artificial Intelligence Improve Gender Equality? Evidence from a Natural Experiment
—Leo Bao, Difang Huang, and Chen Lin []
Human–Algorithmic Bias: Source, Evolution, and Impact
—Xiyang Hu, Yan Huang, Beibei Li, and Tian Lu []
Reskilling the Workforce for AI: Domain Expertise and Algorithmic Literacy
—Prasanna B. Tambe []
Roles of Artificial Intelligence in Collaboration with Humans: Automation, Augmentation, and the Future of Work
—Andreas Fügener, Dominik D. Walzner, and Alok Gupta []
Is Your Machine Better Than You? You May Never Know
—Francis de Véricourt and Huseyin Gurkan []
Behavioral Externalities of Process Automation
—Ruth Beer, Anyan Qi, and Ignacio Rios []
Interacting with Man or Machine: When Do Humans Reason Better?
—Ralph-Christopher Bayer and Ludovic Renou []
Strategic Responses to Algorithmic Recommendations: Evidence from Hotel Pricing
—Daniel Garcia, Juha Tolvanen, and Alexander K. Wagner []
When Emotion AI Meets Strategic Users
—Yifan Yu, Wendao Xue, Lin Jia, and Yong Tan []
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information
—Zuyue Fu, Zhengling Qi, Zhuoran Yang, Zhaoran Wang, and Lan Wang []
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations
—Julien Grand-Clément and Jean Pauphilet []
Strategic Inattention in Product Search
—Adrian Hillenbrand and Svenja Hippel []
Speaking in Private: Privacy Expectations Depend on Communication Modality
—Johann Melzner, Andrea Bonezzi, and Tom Meyvis []
Improving Human Sequential Decision Making with Reinforcement Learning
—Hamsa Bastani, Osbert Bastani, and Wichinpong Park Sinchaisri []
Artificial Intelligence, Lean Startup Method, and Product Innovations
—Xiaoning Wang and Lynn Wu []