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1.
Journal of Management Analytics ; 2023.
Article in English | Scopus | ID: covidwho-20238819

ABSTRACT

In light of global competition and the COVID-19 pandemic, organizations are encountering an increasingly challenging and unpredictable environment. Consequently, employees are experiencing heightened levels of job strain. This study aims to explore the impact of various organizational mechanisms on promoting positive employee health within the organization, ultimately affecting employees' job performance. The findings of this study indicate that authentic leadership and the absence of organizational politics are significant predictors of positive employee health. Moreover, positive employee health has a positive influence on supervisor-rated job performance through its effect on job engagement. This study serves as a valuable resource for organizations, shedding light on the fundamental factors that contribute to positive employee health. It also raises managers' awareness of the importance of nurturing and sustaining employees' emotional and physical well-being to maintain competitiveness in the market. © 2023 Antai College of Economics and Management, Shanghai Jiao Tong University.

2.
Foundations of Computing and Decision Sciences ; 47(2):209-231, 2022.
Article in English | Scopus | ID: covidwho-1963309

ABSTRACT

The purpose of the research in this article is to investigate the main trends in the development of the different industries during the COVID-19 pandemic, to identify the main problems facing the different industries in the context of the global crisis, as well as to form the basic concepts necessary for a real recovery of the global industry. The authors identify the main problems facing the aviation industry in the developing world crisis and possible ways to solve them. As a working hypothesis, it is proposed to form the basic concepts necessary for preparing and implementing operational measures to restore passenger and cargo aviation. Considering the main threats facing the aviation industry during COVID-19, the article proposes the organizational and economic mechanisms to restore the industry. Furthermore, several recovery scenarios are considered, considering the relevant factors that have a particular impact. Next, a novel mathematical model for pharmaceutical products, which are the most important in COVID-19 pandemics, is proposed. Moreover, the model considers the uncertainty, and a robust optimization approach is applied. The study is based on a comprehensive analysis of documentary data provided by government agencies in several European countries. An analysis of global and Russian passenger traffic for Q1-Q4 (quartile) of 2020 and a development forecast for Q1-Q2 of 2021 is provided. The scenario problems facing the aviation industry in the context of the COVID-19 crisis are identified. There are key concepts necessary to prepare and implement effective measures to restore the aviation industry. © 2022 Alexey I. Tikhonov et al., published by Sciendo.

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