The Impact of COVID-19 on Digital Enterprise Management

Miethlich, Boris; Belotserkovich, Denis; Abasova, Samira; Zatsarinnaya, lena; Veselitsky, Oleg

doi:10.1109/emr.2021.3119222

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…Based on the previous theoretical analysis, the mechanism of the effect between the digital economy and carbon emissions is further examined. Model (2) in table 6 shows that the coefficient of the effect of the digital economy on foreign investment attractiveness is significantly negative, and model (3) shows that the coefficients of the effect of the digital economy on carbon emission and foreign investment attractiveness on carbon emission are both significant, so there is a mediating effect relationship, which verifies hypothesis 2. The development of the digital economy will continue to shift the focus of economic development to clean industries with high output and low emissions, and the regulation of foreign investment will be strengthened, which leads to The cost of foreign investment introduction is strengthened, and the local willingness to introduce foreign investment will be reduced, which in turn can promote carbon emission reduction.…”

Section: Further Analysis 61 Mediation Effect Analysismentioning

confidence: 58%

Research on the mechanism and countermeasures of digital economy development promoting carbon emission reduction in jiangxi province

Sun

2023

Environ. Res. Commun.

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The digital economy is an important driving force for China's economic transformation and upgrading, while "carbon peak and carbon neutrality" is the target vision to be achieved in China. As an important support area for the rise of central China, it is an urgent question to investigate whether the development of the digital economy in Jiangxi Province can contribute to the realization of carbon emission reduction. Based on the panel data of 11 urban areas in Jiangxi Province from 2011 to 2020, the article empirically investigates the impact of the digital economy on regional carbon emissions and its mechanism of action by using the two-way fixed-effect model, mediated-effect model, and panel threshold-effect model. The study shows that, firstly, the digital economy has a significant carbon emission reduction effect, and the conclusion still holds after a series of endogeneity and robustness tests. Second, the carbon emission reduction effect of the digital economy differs among different regions, and the carbon emission reduction effect of the digital economy is more obvious in northern Ganzhou and regions with high carbon emission levels. Again, the intermediary effect suggests that the digital economy can promote carbon emission reduction by strengthening the control of foreign investment introduction. Finally, the panel threshold effect analysis with urbanization as the threshold variable shows that there is a non-linear correlation between the effects of the digital economy on carbon emissions. The findings of this paper provide a feasible path and policy reference for Jiangxi Province's digital economy to contribute to carbon emission reduction goals.

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Section: Further Analysis 61 Mediation Effect Analysismentioning

confidence: 58%

Research on the mechanism and countermeasures of digital economy development promoting carbon emission reduction in jiangxi province

Sun

2023

Environ. Res. Commun.

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“…The lessons learned can affect other disruptive situations and have insights for broader transformations, especially in developing economies (e.g., see [9] and [10]). There are also specific industry or technological transformations, especially digital transformations [11], [12].…”

Section: Continuing To Manage and Learn From The Covid Pandemicmentioning

confidence: 99%

Editorial

Sarkis

2022

IEEE Eng. Manag. Rev.

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“…Further authors discuss gaps and limitations in the NRI arising from the problem of access of population to digital technologies and present policy recommendations to address the digital divide. Miethlich et al (2021) study enterprise management with purpose of developing a mechanism for managing digital transformation under the COVID-19 pandemic. Analysis revealed that effective digital transformation can be achieved through management restructuring.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Network Readiness Index (NRI) Using Multivariate Statistics

Токмергенова

Dobos²

2023

Period. Polytech. Soc. Man. Sci.

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The Network Readiness Index (NRI) is one of the indicators that shows the level of digital development of countries. The NRI for 2021 shows the development of 130 countries, in contrast to the 45 countries covered by the International Digital Economy and Society Index (I-DESI) of the European Union, which measures only the most developed countries. This paper aims to determine the relationship between 12 sub-pillars of NRI. We use Principal Component Analysis (PCA) to perform a mapping of our data to a lower-dimensional space, and further analyse the causal relationships between the principal sub-pillars using partial correlation coefficients, concluding that two of the twelve main sub-pillars can be explained by ten independent sub-pillars. Thereafter, we use cluster analysis to group our objects (i.e. the 130 countries) into clusters.

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The Impact of COVID-19 on Digital Enterprise Management

Cited by 10 publications

References 16 publications

Research on the mechanism and countermeasures of digital economy development promoting carbon emission reduction in jiangxi province

Research on the mechanism and countermeasures of digital economy development promoting carbon emission reduction in jiangxi province

Editorial

Analysis of the Network Readiness Index (NRI) Using Multivariate Statistics

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