Although fairness is a key moral trait, limited research focuses on participants' observed behavior because traits are generally measured through self-report. This experiment focused day-to-day interpersonal rather than impersonal justice, and was assessed as behavior. The investigated whether self-reported trait would moderate situational influence behavior, such that individuals with stronger...

In a bribery experiment, we test the hypothesis that distributive fairness considerations make relatively well-paid public officials less corruptible. Corrupt decisions impose damages to workers whose wage is varied in two treatments. However, there is no apparent difference in behaviour.

This paper examines the role of fairness and how it shapes a user’s view in IT-enabled change. Drawing from several fairness theories, components of fairness are identified and examined in two studies. The first study examines the role of fairness through user interviews and finds that all five components of fairness are considered by users in enterprise system implementations. The second study...

Since the utilization of multiuser diversity in wireless networks can increase the information theoretic capacity, much attention has been paid to schedulers exploiting multiuser diversity. It is known that there exists a tradeoff between the capacity and fairness achieved by schedulers exploiting multiuser diversity. Due to its good balance between the capacity and fairness, the one-bit feedba...

Machine learning (ML) models are increasingly being used for high-stake applications that can greatly impact people’s lives. Sometimes, these be biased toward certain social groups on the basis of race, gender, or ethnicity. Many prior works have attempted to mitigate this “model discrimination” by updating training data (pre-processing), altering model process (in-processing), manipulating out...

Efficient radio resource allocation algorithm is proposed in this paper. Proportional fair algorithm gives favorable performance compared to two classical algorithms max-C/I and RR. But PF algorithm does not consider QoS parameters while allocating resources to the users. Moreover with less transmission power utilization Fairness disappears in PF algorithm. A PFQoS-Centric is proposed in this p...

The important issue of an adaptive scheduling scheme is to maximize throughput while providing fair services to all users, especially under strict quality of service requirements. To achieve this goal, we consider the problem of multiuser scheduling under a given fairness constraint. A novel Adaptive Fairness and Throughput Control (AFTC) approach is proposed to maximize the network throughput ...

rate allocation has become a demanding task in data networks as diversity in users and traffics proliferate. most commonly used algorithm in end hosts is tcp. this is a loss based scheme therefore it exhibits oscillatory behavior which reduces network performance. moreover, since the price for all sessions is based on the aggregate throughput, losses that are caused by tcp affect other sessions...

People exhibit peer-induced fairness concerns when they look to their peers as a reference to evaluate their endowments. We analyze two independent ultimatum games played sequentially by a leader and two followers. With peer-induced fairness, the second follower is averse to receiving less than the first follower. Using laboratory experimental data, we estimate that peer-induced fairness betwee...