Effects of remote virtual work environment during COVID-19 pandemic on technostress among Menoufia University Staff, Egypt: a cross-sectional study

• Published in: Environmental science and pollution research international 2021-10, Vol.28 (38), p.53746-53753
• Main Authors: Gabr, Hala Marawan, Soliman, Shaimaa Sherif, Allam, Heba Khodary, Raouf, Shaimaa Yaihya Abdel
• Format: Article
• Language: English
• Subjects: Adult; Age; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Blood; Colleges & universities; Coronaviruses; Cortisol; COVID-19; Cross-Sectional Studies; Earth and Environmental Science; Ecotoxicology; Education; Egypt; Environment; Environmental Chemistry; Environmental Health; Environmental science; Female; Females; Gender; Hormones; Humans; Pandemics; Research Article; Rural areas; Rural environments; SARS-CoV-2; Telecommuting; Training; Universities; Waste Water Technology; Water Management; Water Pollution Control; Work environment; Working conditions; Workplace
• ISSN: 0944-1344; 1614-7499
• DOI: 10.1007/s11356-021-14588-w

Technostress during the COVID-19 pandemic has become more prevalent as a result of the global preventive measures applied to limit the spread of infection. These measures included remote working from home in both public and private organizations. The objective of this study is to study technostress and challenges of remote virtual work environment among university staff members at Menoufia University, Egypt. A cross-sectional study was conducted over Menoufia University academic staff members in Egypt. The participants were chosen from both practical and theoretical colleges in Menoufia University using a multistage random sample. Tarfadar technostress questionnaire was used. Cortisol blood level was measured for all participants. This study included 142 participants. The mean age of the group was 36.32±6.41 years. 52.1 percent worked in practical colleges, and 60.6% were lecturers or higher. Their mean cortisol level was 15.61±7.07mcg/dl. Participants who were females, reside in rural areas, held a lecturer or higher position, had poor work-environment WiFi, and lacked technical training had significantly higher levels of technostress subscales. Most of the technostress subscales were significantly correlated with age and blood cortisol levels. The predictors of work overload in multivariate regression were female gender and a work environment with poor WiFi. Female gender, theoretical colleges, being lecturer or higher, and poor WiFi were the predictors for invasion. Among university staff members, technostress was found to be evident. High levels of technostress were significantly influenced by age, higher professions, female gender, and a bad workplace environment.