The objective of the study is to analyze why and how businesses should proceed to adapt digital transformation processes to their work during Covid-19 pandemic. Benefits of incorporating tools for digital transformation during pandemic are believed to overcome some of the great obstacles of pandemic restrictions, what is more, even create greater workforce by optimizing repeating processes that are otherwise impossible to complete due to covid restrictions resulting in greater workload in many economic sectors, while being left with fewer workmen. The role of a leader in the process of digital transformation, as well as opportunities and challenges of the transformation process and appropriate technologies for its implementation, its impact on individual HR processes and the methodology for implementing the process are the main topics this study aims to cover. Correlated relationships between digital transformation processes and workforce productivity will be explored.
This study considers the consequences of the COVID-19 pandemic on the future of work processes, while exploring the changes in the perception of digital transformation and the role this process is playing in businesses’ capability to successfully meet obstacles and adapt to changes led by COVID-19 pandemic. To estimate the long-term consequences of the pandemic on the digital transformation processes, and therefore their influence on work force and financial performance of businesses, this research explores official data from businesses based in the same geographic regions. Providing a solution for the obstacles that managers face during the process of digital transformation of human recourses is crucial during a world pandemic, as well as discussing effective tools in the process of managing the influence of external factors, such as COVID-19, on the process of digital transformation of human recourses. This study is to present conclusions on the discussed topic based on bibliographic approach on the summarized data from searches across a broad number of databases. The qualitative methodology of this study allows detailed analysis of the chosen data, but gives little ground for generalizability. To address this limitation, future research can discuss the proposed theory made by the author by testing various industries functioning during pandemic limitations.