현상
온라인 노동시장
24편 · 2022 3편, 2023 1편, 2024 2편, 2025 5편, 2026 2편
- When “Signals” Boomerang: Employers’ Reactions to a Novel Signaling Mechanism
- Improving Competitiveness: A Freelancer-Centric Approach for Recommending Reskilling Strategies
- Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires
- All That Glitters Is Not Gold: The Impact of Certification Test Costs in Online Labor Markets
- On Matching Efficiency in Online Labor Markets for IT Services: The Role of Project Description
- Evaluating the Efficacy of Application Costs for Managing Congestion in Online Matching Markets
- When Gig Workers No Longer Gig: The Impact of California Assembly Bill 5 on the Online Labor Market
- Monitoring and the Cold Start Problem in Digital Platforms: Theory and Evidence from Online Labor Markets
- Real-Effort Incentives in Online Labor Markets: Punishments and Rewards for Individuals and Groups
- The Good, the Bad, and the Unhirable: Recommending Job Applicants in Online Labor Markets
- Online Assortment Optimization for Two-Sided Matching Platforms
- Learning to Successfully Hire in Online Labor Markets
- Adjusting Skillset Cohesion in Online Labor Markets: Reputation Gains and Opportunity Losses
- Just DM Me (Politely): Direct Messaging, Politeness, and Hiring Outcomes in Online Labor Markets
- Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work
- Outsourcing Tasks Online: Matching Supply and Demand on Peer-to-Peer Internet Platforms
- The Demotivating Effects of Communicating a Social-Political Stance: Field Experimental Evidence from an Online Labor Market Platform
- Demand-Aware Career Path Recommendations: A Reinforcement Learning Approach
- Steering in Online Markets: The Role of Platform Incentives and Credibility
- Can Reputation Discipline the Gig Economy? Experimental Evidence from an Online Labor Market
- Buyer Uncertainty About Seller Capacity: Causes, Consequences, and a Partial Solution
- Surviving in Global Online Labor Markets for IT Services: A Geo-Economic Analysis
- Hiring Preferences in Online Labor Markets: Evidence of a Female Hiring Bias
- Learning to Hire? Hiring as a Dynamic Experiential Learning Process in an Online Market for Contract Labor