Results 101 to 110 of about 1,719,498 (270)
The AI Penalization Effect: People Reduce Compensation for Workers Who Use AI [PDF]
We investigate whether and why people might adjust compensation for workers who use AI tools. Across 11 studies (N = 3,846), participants consistently lowered compensation for AI-assisted workers compared to those who were unassisted. This "AI Penalization" effect was robust across (1) different types of work (e.g., specific tasks or general work ...
arxiv
Juvenile Idiopathic Arthritis, Earnings, and Work Loss: A Nationwide Matched Cohort Study
Objective This study compares trajectories of earnings and work loss in individuals with juvenile idiopathic arthritis (JIA) versus matched comparators from the general population. Methods Patients with JIA (n = 4,737) were identified in the Swedish National Patient Register (2001–2017) and individually matched to up to five general population ...
Heather Miller+4 more
wiley +1 more source
Robust Regulation of Labour Contracts [PDF]
We study the robust regulation of labour contracts in moral hazard problems. A firm offers a contract to incentivise a worker protected by limited liability. A regulator chooses the set of permissible contracts to (i) improve efficiency and (ii) protect the worker.
arxiv
Objective Promoting Resilience in Stress Management (PRISM) is a resilience coaching program designed for adolescents with chronic illness. We aimed to examine the perceived feasibility, acceptability, and appropriateness of PRISM among pediatric rheumatologists treating adolescents with chronic musculoskeletal pain and obtain recommendations for ...
Sabrina Gmuca+9 more
wiley +1 more source
Incentive Contracts and Peer Effects in the Workplace [PDF]
We analyze how firms should design wage contracts when workers collaborate in teams and effort costs depend on colleagues through a peer network. Performance-based compensation generates incentives that cascade through the organization, which firms target to boost profits.
arxiv
Neural Network Adaptive Control With Long Short‐Term Memory
ABSTRACT In this study, we propose a novel adaptive control architecture that provides dramatically better transient response performance compared to conventional adaptive control methods. This is accomplished by the synergistic employment of a traditional adaptive neural network (ANN) controller and a long short‐term memory (LSTM) network.
Emirhan Inanc+4 more
wiley +1 more source
Preference-aware compensation policies for crowdsourced on-demand services [PDF]
Crowdsourced on-demand services offer benefits such as reduced costs, faster service fulfillment times, greater adaptability, and contributions to sustainable urban transportation in on-demand delivery contexts. However, the success of an on-demand platform that utilizes crowdsourcing relies on finding a compensation policy that strikes a balance ...
arxiv
Measuring the Expertise of Workers for Crowdsourcing Applications [PDF]
Crowdsourcing platforms enable companies to propose tasks to a large crowd of users. The workers receive a compensation for their work according to the serious of the tasks they managed to accomplish. The evaluation of the quality of responses obtained from the crowd remains one of the most important problems in this context.
arxiv
Chromatin, which organizes DNA, changes its structure to adapt to stress like high oxygen levels (hyperoxia), which can damage cells. Researchers developed a technique to observe these changes and found variability in how different parts of chromatin remodel.
Lauren Monroe+4 more
wiley +1 more source
Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond [PDF]
Since the emergence of generative AI, creative workers have spoken up about the career-based harms they have experienced arising from this new technology. A common theme in these accounts of harm is that generative AI models are trained on workers' creative output without their consent and without giving credit or compensation to the original creators.
arxiv