This work examined the impact of telecommuting on employees’ performance. The dynamic nature of the environment in which our organizations operate and customers need made this investigation very necessary. The objectives of the study were; to find out if arrangement that enables employee to work at home has a positive relationship with better quality of work and to ascertain whether an arrangement that allows employee to work at agreed location has significant relationship with speedy service delivery. To achieve the objectives, a survey research design was adopted. The techniques employed in analyzing the data were descriptive statistics and spearman rank correlation coefficient. The results indicated that the arrangement that enables employee to work at home has a weak and positive relationship with better quality of work. It was also found that arrangement that allows employee to work at agreed location has a significant relationship with speedy service delivery. Based on the findings, the researcher concluded that telecommuting has impact on employee performance. It was recommended that managers of telecommunication out-fits should continue with the arrangement that allows employees to work at agreed location since it was found to have significant relationship with speedy service delivery but also ensure that, there is a strong mechanism on ground to monitor the activities of the telecommuters.
The pervasive effects of the novel coronavirus (COVID-19) have put the world to test. Its effects permeate all facets of life including healthcare services and food supplies. However, most empirical studies failed to investigate its effects on the prices of food and healthcare services, which by all standards, are essential commodities. On this background, this study evaluates the impact of COVID-19 reported cases and lockdown stringency measures on the food and healthcare prices in the six (6) worst-affected countries. For empirical purposes, daily prices of food and healthcare services between 22
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January and 31
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December 2020 were regressed against daily cases of COVID-19 and lockdown stringency measures within the dynamic autoregressive distributed lag procedure. Empirical evidences reveal that prices of healthcare and food are cointegrated with COVID-19 cases and lockdown measures in all the selected countries except Italy. Equally, healthcare and food prices reinforced itself in the long-run in the US, the UK and France. Furthermore, COVID-19 cases lead to significant increases in food and healthcare prices in the US, whereas, food and healthcare prices in France and UK declined significantly as COVID-19 cases mount. Conversely, food and healthcare prices declined significantly in the US and soar in France and the UK in reactions to COVID-19 new cases. Likewise, government stringency measures and containment health measures contributed significantly to healthcare and food price hike in the US and France respectively. Meanwhile, healthcare and food prices in the other selected countries remained unaffected even as the pandemic ravages. Following this empirical discoveries, relevant policy guidelines have been communicated.
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