Analyzing the Influence of COVID-19 on Soft Skills in Human Resources: A Novel Economic Framework

Анотація

This research paper presents a comprehensive economic model designed to evaluate and navigate the repercussions of the COVID-19 pandemic on the soft skills of the workforce in Ukraine. Delving into the theoretical, methodological, and practical dimensions of performance indicators, the study aims to foster the sustainable development of soft skills amidst the ongoing pandemic. The paper systematically pinpoints specific indicators intricately linked to the impact of employees' soft skills in the unique context of COVID-19, drawing insights from a diverse pool of 100 respondents spanning across 10 enterprises, whose perspectives are gathered through a meticulously crafted questionnaire. Employing a robust methodological approach, the research harnesses various analytical tools such as quadratic correlation, regression analysis, and the construction of a polynomial trend line, all executed within the framework of Microsoft Excel. This analytical prowess facilitates a nuanced exploration of the data, revealing two distinct scenarios that have materialized in the wake of the pandemic. The narrative woven by the analysis accentuates the role of employees' adaptability as a catalyst for marked improvements in competencies and communication skills. Crucially, these enhancements empower the workforce to navigate the intricacies of enterprise management and economic activities with discernment and resilience, even amid the constraints imposed by the crisis. The paper not only elucidates the current landscape but also offers valuable insights into the transformative potential embedded within the challenges posed by the pandemic. It underscores the pivotal role played by soft skills in fostering organizational resilience and adaptability, positioning them as indispensable assets in navigating the evolving dynamics of the contemporary economic landscape amidst the persistent disruptions wrought by COVID-19.

Класифікація

Ідентифікатори

Схожі роботи