Work stress, office clutter and employees' performance during COVID-19 waves

PurposeThe aim of the study is to test the integrated model involving work stress, office clutter and employee performance with the moderating roles of training and self-discipline (SD) after the re-opening of the banks after the COVID-19 wave.Design/methodology/approach The study used 333 respondents from banking industry, whose responses were recorded using a closed ended questionnaire. The authors used partial least square path anaysis to analyze the data.Findings Work stress significantly increases office clutter, which harms the employees' performance. Moreover, SD and training significantly improve employees' performance by reducing work stress and thereby office clutter. There are various mechanisms through which both these factors reduced stress and office clutter.Practical implications The employee's performance can be enhanced with lower levels of office clutter. The office clutter can be managed through having lower levels of stress and providing people with training and inculcating SD among them. A greater understanding of the factors that count toward office clutter might help bank managers and employees to address the issues related to their performance.Originality/value The authors have proposed a new framework involving conservation of resources theory for the employees' performance. They posit employees' performance is an organizational resource, which can be conserved as well as enriched both by employers and employees through their own contribution.

Tocilizumab in severe COVID-19 – A randomized, double-blind, placebo-controlled trial

Background: The therapeutic effectiveness of interleukin-6 receptor inhibitor in critically ill hospitalized patients with coronavirus disease 2019 (COVID-19) is uncertain. Methods: To evaluate the efficacy and safety of the outcome as recovery or death of tocilizumab for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection, we conducted a randomized, double-blinded, placebo-controlled phase 2 trial in critically ill COVID-19 adult patients. The patients were randomly assigned in a 4:1 ratio to receive standard medical treatment plus the recommended dose of either tocilizumab or the placebo drug. Randomization was stratified. The primary outcome was the recovery or death after administration of tocilizumab or a placebo drug. The secondary outcomes were clinical recovery or worsening of the patients' symptoms and inflammatory markers and discharge from the hospital. Results: Of 190 patients included in this study, 152 received tocilizumab, and 38 received a placebo. The duration of hospital stay of the interventional group was 12.9 ± 9.2, while the placebo group had a more extended hospital stay (15.6 ± 8.8). The mortality ratio for the primary outcome, ie, mortality or recovery in the tocilizumab group was 17.8%;p = 0.58 by log-rank test). The mortality ratio in the placebo group was 76.3%;p = 0.32 by log-rank test). The inflammatory markers in the tocilizumab group significantly declined by day 16 compared to the placebo group. Conclusions: The use of tocilizumab was associated with decreased mortality, earlier improvement of inflammatory markers, and reduced hospital stay in patients with severe COVID-19. © 2022 The Author(s)

Factors Affecting the Quality of Online Learning During COVID-19: Evidence From a Developing Economy

This descriptive study was conducted to evaluate the factors affecting the quality of online learning of Pakistani students during the COVID-19 pandemic. Developing economies such as Pakistan present a unique context to online education as there is limited access to technology, ITC services, and the internet for the general public. This paper integrates the factors affecting the online learning process of students while taking the situational factors as a boundary condition (moderating variable). Data were collected through a Appendix Questionnaire administered to students studying in different universities in Pakistan. Stepwise linear regression and PROCESS Macro by Hayes (2013) was used for data analysis. Results revealed that university support, instructors' support, and motivational factors predicted the quality of online learning. The situational factors negatively influenced the relationship of instructors' support and motivational factors and the quality of online learning. University support and the quality of online learning relationships were not moderated by situational factors.