As firms are moving towards data-driven decision making, they are facing an emerging problem, namely, algorithmic bias. Accordingly, algorithmic systems can yield socially …
M Soelton - JDM (Jurnal Dinamika Manajemen), 2023 - journal.unnes.ac.id
Schools as educational institutions are expected to be able to produce quality human resources and are supported by high teacher competence, teachers must be reliable and …
Advances in artificial intelligence are increasingly leading to the automation and augmentation of decision processes in work contexts. Although research originally generally …
Robots are the next wave in service technology; however, this advanced technology is not perfect. This research examines how social perceptions regarding the warmth and …
S De Hert - Local and regional anesthesia, 2020 - Taylor & Francis
Approximately, one in three physicians is experiencing burnout at any given time. This may not only interfere with own wellbeing but also with the quality of delivered care. This …
DT Newman, NJ Fast, DJ Harmon - Organizational Behavior and Human …, 2020 - Elsevier
The perceived fairness of decision-making procedures is a key concern for organizations, particularly when evaluating employees and determining personnel outcomes. Algorithms …
S Yuan, C Lou - Journal of Interactive Advertising, 2020 - Taylor & Francis
Via the unprecedented interactivity of social media, social media personae can build strong relationships with followers. Such relationships, which carry great marketing potential …
This study attempts to find out the impact of organizational justice on the innovative work behavior of employees working in Chinese telecommunication sector, while analyzing the …
This paper focuses on the increased pressure for corporations to engage in corporate sustainability (CS) and corporate social responsibility (CSR) in order to address the current …