The coronavirus disease 2019 (COVID-2019)-induced changes in the workplace present a timely opportunity for human resource management practitioners to consider and remediate the deleterious effects of noise, a commonly cited complaint of employees working in open-plan office (OPO) environments. While self-reports suggest that OPO noise is perceived as a stressor, there is little experimental research comprehensively investigating the effects of noise on employees in terms of their cognitive performance, physiological indicators of stress, and affect. Employing a simulated office setting, we compared the effects of a typical OPO auditory environment to a quieter private office auditory environment on a range of objective and subjective measures of well-being and performance. While OPO noise did not reduce immediate cognitive task performance compared to the quieter environment, it did reduce psychological well-being as evidenced by self-reports of mood, facial expressions of emotion, and physiological indicators of stress in the form of heartrate and skin conductivity. Our research highlights the importance of using a multimodal approach to assess the impact of workplace stressors such as noise. Such an approach will allow HR practitioners to make data-driven recommendations about the design and modification of workspaces to minimize negative effects and support employee well-being.

Supervisor character and behavior are key components of an organization's ethical fabric that should play a role in employee helping behavior. However, research has not fully distinguished how these factors are interrelated. The current study explores these relationships by developing a deeper understanding of ethical language in organizations via thick ethical concepts found in simulation software, supported by affect control theory. Software formulae in these simulations were developed via empirical research conducted over several decades. Simulations provided predictions of employee helpfulness in response to encounters with supervisors of varying ethical characters, enacting a variety of behaviors. The likely impact of supervisor character on employee helpfulness is more substantial than the impact of supervisor behavior. New insights emerged related to underlying complexities of ethical languages, such as the role of cultural meanings of language terms. These outcomes, as well as the associated implications, research limitations, and suggestions for future research, are discussed.

The basic robot control technique is the model based computer-torque control which is known to suffer performance degradation due to model uncertainties. Adding a neural network (NN) controller in the control system is one effective way to compensate for the ill effects of these uncertainties. In this paper a systematic study of NN controller for a robot manipulator under a unified computed-torque control framework is presented. Both feedforward and feedback NN control schemes are studied and compared using a common back-propagation training algorithm. Effects on system performance for different choices of NN input types, hidden neurons, weight update rates, and initial weight values are also investigated. Extensive simulation studies for trajectory tracking are carried out and compared with other established robot control schemes.