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The purpose of this study is to examine the various factors that influence the productivity (PR) of employees who worked remotely in the United Arab Emirates (UAE) during the COVID-19 pandemic.

This study adopts a quantitative approach to analyze data collected online from 110 respondents using the snowball sampling technique during the pandemic. The analysis of the data is conducted using the structural equation modeling (SEM) technique of Smart PLS (Partial least squares) to evaluate the direct and moderating variables.

The results indicate that direct variables such as workload, job satisfaction, work–life balance and social support have a significant positive impact on employee PR in the UAE. However, the analysis of the moderating variable indicates that job level is not a significant moderator of the above relationships. The findings, generally, provide support for social exchange theory.

The findings of this study will help businesses of various domains in a variety of industries in understanding the core factors that should be considered to enhance the overall PR of their employees while working from home. Businesses can achieve their organizational goals by ensuring steady growth even during uncertain times.

This paper answers the question of whether remote working affects employee PR during the pandemic in an emerging market, namely the UAE. The current study contributes to the existing literature by combining the variables investigated in previous studies into a single study and by considering job level as a moderator variable.

This paper aims to examine the impact of information and telecommunication technologies (ICT-proxied by mobile phone subscription and Internet usage) on carbon dioxide (CO2) emissions in the Organization for Economic Cooperation and Development (OECD) countries from 1990 to 2018.

The Cross-section Autoregressive Distributed Lag (CS-ARDL) model is employed to address the potential cross-section dependence problem. Common Correlated Effects Mean Group (CCEMG) and Augmented Mean Group (AMG) estimators are used to test for robustness of results.

Results reveal contrasting effects of mobile phone subscription and Internet usage on CO2 emissions. While mobile phone penetration helps mitigate CO2 emissions, Internet usage tends to increase the emissions. Findings show that renewable energy is beneficial to the environment while economic growth is harmful to the environment. The effects of financial development and trade openness seem negligible.

This study offers practical implications for policymakers. As different proxies of ICT could have contradictory impact on CO2, governments should be cautious against utilizing ICT to mitigate CO2. Findings point to the benefits of renewable energy in alleviating CO2 emissions. Therefore, governments are strongly advised to implement policies facilitating renewable energy consumption.

Previous studies ignored the problem of cross-section dependence which could lead to biased results and cause misleading inferences. This study aims to fill this void in the literature.