Modeling Changes in the Enterprise Information Capital in the Digital Economy

Rodionov, Dmitriy; Zaytsev, Andrey; Konnikov, Evgenii; Dmitriev, Nikolay; Dubolazova, Yulia

doi:10.3390/joitmc7030166

Cited by 23 publications

(6 citation statements)

References 34 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…From their results, knowledge accumulation, integration, utilization, reconfiguration, sensing, and seizing may be applied to the clothing industries as well to highlight how they can manage the business during the COVID-19 pandemic. Lastly, the study of Rodionov et al [ 88 ] has considered changes in the business for the digital economy. These studies could be beneficial for redesigning the current business state of the clothing industry.…”

Section: Discussionmentioning

confidence: 99%

Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic

Ong

Cleofas

Prasetyo

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

The fashion industry has been continuously growing over the years, yet it is an industry that was greatly affected by the COVID-19 pandemic. The purpose of the study was to determine the factors affecting buying behavior of Filipinos towards clothing apparel during the COVID-19 pandemic. There were 457 respondents who voluntarily participated and answered an online questionnaire. Structural equation modeling (SEM) indicated that marketing mix was found to have significant effects on attitude, subjective norm, and perceived behavioral control, which subsequently led to purchase intention. In addition, the COVID-19 latent variable was found to have significant effects on self-perceived severity and self-efficacy, which subsequently led to attitude and purchase intention. Interestingly, marketing mix was found to have the highest effect on actual purchase, which indicated that innovation dynamics are the keys for the buying behavior. The SEM construct can be applied to determine the clothing apparel buying behaviors of consumers in other countries, particularly during the COVID-19 pandemic. Finally, advertisements, promotions, sales, and health safety should be considered as innovation dynamics during the COVID-19 pandemic.

show abstract

Section: Discussionmentioning

confidence: 99%

Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic

Ong

Cleofas

Prasetyo

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

show abstract

“…To conduct the study, an automated algorithm for collecting posts from the RBC Vkontakte group was built. Let us consider the stages of this algorithm (Rodionov et al 2020):…”

Section: Methodsmentioning

confidence: 99%

Impact of COVID-19 on the Russian Labor Market: Comparative Analysis of the Physical and Informational Spread of the Coronavirus

et al. 2022

View full text Add to dashboard Cite

The aim of the article is to investigate the impact of the new coronavirus infection on the Russian labor market and to suppose the actions to be taken to minimize negative economic consequences. The distinctiveness of this study is the differentiation of the impact of the physical and informational spread of COVID-19. The informational spread of coronavirus is measured through the dynamics of news messages related to the topic of “coronavirus” in the largest Russian media. The analysis of the average level of wages by type of economic activity, as well as the demand of employers and the number of vacancies, allow testing the hypothesis that the physical and informational spread of coronavirus caused an increase in the number of unemployed, a decrease in average wages in the studied range of economic activities, an increase in supply on the labor market, and a decrease in demand for employees. Another task of the study is to assess the dynamics of related search queries in Yandex (Russian biggest search engine), which can help to reveal the logic in the behavior of the Russian people during the pandemic as well as to understand if the Russian economy, the labor market, and society were prepared for the changes caused by the pandemic. Using a regression modeling methodology, it was found that the influence of the information environment, namely the informational spread of coronavirus, had an even greater impact on studied parameters than the physical spread. A “delay effect of physical consequences” was discovered. The conclusions obtained showed that in the conditions of wide informatization of society, it is necessary to systematically influence the physical and informational spread of coronavirus to minimize the negative consequences of the pandemic on the labor market.

show abstract

“…С помощью стандартов управления СМК регион может получать единообразные данные о текущем состоянии и общие требования к реализации намеченной стратегии, но такие стандарты, как правило, не содержат указаний о процессе достижения намеченных целей, и задачей руководства регионов является определение этих процессов [6,7,11].…”

Section: рис 1 этапы становления стандартизацииunclassified

Стандартизация Для Развития И Взаимодействия Регионов

2022

Экономические науки

View full text Add to dashboard Cite

Modeling Changes in the Enterprise Information Capital in the Digital Economy

Cited by 23 publications

References 34 publications

Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic

Consumer Behavior in Clothing Industry and Its Relationship with Open Innovation Dynamics during the COVID-19 Pandemic

Impact of COVID-19 on the Russian Labor Market: Comparative Analysis of the Physical and Informational Spread of the Coronavirus

Стандартизация Для Развития И Взаимодействия Регионов

Contact Info

Product

Resources

About