Research Article Effect of Teleworking on Working Conditions of Workers: A Post-COVID-19 Lockdown Evaluation Moses Segbenya 1 and Edna Naa Amerley Okorley 2 1 Department of Business Studies, College of Distance Education, University of Cape Coast, Cape Coast, Ghana 2 Department of Human Resource Management, School of Business, University of Cape Coast, Cape Coast, Ghana Correspondence should be addressed to Moses Segbenya; moses.segbenya@ucc.edu.gh Received 28 April 2022; Revised 18 June 2022; Accepted 23 June 2022; Published 16 July 2022 Academic Editor: Zheng Yan Copyright © 2022 Moses Segbenya and Edna Naa Amerley Okorley. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This study examines the effect of teleworking on working conditions of workers, a post-COVID-19 lockdown evaluation. The quantitative approach and descriptive cross-sectional research design were adopted. A sample of 265 participants from both public and private sectors were sampled for the study. Data was collected with a self-administered questionnaire and analyzed with partial least square structural equation modelling (PLS-SEM). The study found that teleworking/virtual working significantly affects participant’s working conditions during a pandemic. Furthermore, workplace safety and work schedules were also found to be significantly influenced by teleworking and eventually influencing the working conditions of teleworkers during a pandemic. The two most important predictors of decent working conditions for workers during the pandemic found by this study were teleworking and work schedules. Therefore, it was recommended that employers provide data and logistical support and training for workers to effectively use virtual/teleworking to enhance working conditions and eventually workers’ productivity during any pandemic. 1. Introduction The emergence of the COVID-19 pandemic in December 2019 has disrupted the everyday way of living and the world of work [1, 2]. Apart from being a global health crisis, the COVID-19 also poses a major global socioeconomic chal- lenge to skills training [3, 4] and work processes [3]. The impact of COVID-19 on workers’ socioeconomic life stem from measures such as full or partial lockdown, restriction or ban on large gathering, practising social distancing, among others, to curtail the spread of the virus. The Interna- tional Labor Organisation (ILO) revealed that the safety pro- tocols have affected “about 2.7 billion workers, representing approximately 81 per cent of the global workforce, especially unprotected informal workers” [4]. The impact of the COVID-19 on the systems of the national and global levels (see Figure 1) will undoubtedly influence organizations and their workers’ fortunes. The social system view of this study posits that individual job applicants from the microsystem enter the job market, which is the mesosystems for employment and are absorbed into the exosystems where employers and organizations exist. It is very important to note that the first three systems—microsystem, mesosystem, and exosystem—are all overlaid by the macrosys- tem comprising economic, political, sociocultural, and techno- logical factors at the national and the international levels. This means that the effect of the COVID-19 on the political, economic, social, and technological (PEST, Figure 1) system at the national and global levels (macrosystem) directly influences organizations and their workers at the exosystem (see Figure 1). The International Labor Organisation [1] found a reduc- tion in the quality and quantity of jobs available due to the predicted reductions in economic activity. Work processes also stand to suffer some changes as well. The entire labour market in terms of onboarding, maintenance, to separation at both national and global levels, has been seriously hit by the outbreak of the COVID-19 pandemic [5]. In their view, Hindawi Human Behavior and Emerging Technologies Volume 2022, Article ID 4562263, 14 pages https://doi.org/10.1155/2022/4562263