AI-assisted decision-making that impacts individuals raises critical questions about transparency and fairness in artificial intelligence (AI). Much research has highlighted the reciprocal relationships between transparency/explanation decision-making. Thus, considering their impact on user trust or perceived simultaneously benefits responsible use of socio-technical AI systems, but currently r...

This study aims to examine and analyze whether there is an influence between price fairness, relationship quality, perceived betrayal on switching intentions. research uses Partial Least Square Structural Equation Model (SEM PLS). The method used in this non-probability sampling. population are consumers who have transacted e-marketplaces moved other Bengkulu city 353 samples were selected. res...

A “good life” refers to a life phase in which people achieve satisfying degree of spiritual value perception and emotional experience the environment “current” high material living standards, social harmony, fairness, justice, thus exclaim “good” from heart. This article focuses on Chinese traditional culture's understanding life,” attempted summarize fundamental characterization, as well analy...

The purpose of this study is to examine the effect tax fairness, system, discrimination, technology and information taxation on taxpayer perception about ethics evasion. data used in wereprimary data. primarydata were obtained from questionnaires distributed individual taxpayers Bengkulu City. number that 110, but only 108 could be proceed.The analyzed by using multiple linear regression analys...

Past research has shown that many people prefer natural foods and medicines over artificial counterparts. The present study focused on examination of aversive events and hazards. Preferences were compared by having subjects consider pairs of scenarios, one natural and one artificial, matched in negative outcome and severity. Pairings were also rated along several dimensions of risk perception s...

Group-fair learning methods typically seek to ensure that some measure of prediction efficacy for (often historically) disadvantaged minority groups is comparable the majority population. When a principal seeks adopt group-fair approach replace another, may face opposition from those who feel they be harmed by switch, and this, in turn, deter adoption. We propose potential mitigation this conce...

Many human computation systems utilize crowdsourcing marketplaces to recruit workers. Because of the open nature of these marketplaces, requesters need to use appropriate quality assurance mechanisms to guarantee high quality results. Previous research has mostly focused on the statistical aspects of quality assurance. Instead, we analyze the worker perception of five quality assurance mechanis...

The question of whether or not HRM matters is one that has occupied much of HR academics’ thinking over the last decade. Although hard data on the relationship between HRM and (firm) performance is now available, our understanding of the link to performance (often known as the ‘black box’ problem) has been and remains a mystery. The purpose of this paper is to correct this gap. Taking a human n...

Risk communication guidelines widely used in public health are based on the psychometric paradigm of risk, which focuses on risk perception at the level of individuals. However, infectious disease outbreaks and other public health emergencies are more than public health events and occur in a highly charged political, social and economic environment. This study examines other sociological and cu...