Effects of Covid-19 on Digital Learning of Entrepreneurs

Sawangchai, Anusara; Prasarnkarn, Hiran; Kasuma, Jati; Polyakova, Aleksandra; Qasim, Saba

doi:10.17512/pjms.2020.22.2.33

Cited by 21 publications

(18 citation statements)

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“…The COVID-19 pandemic is an extraordinary factor that has a critical and sometimes destructive impact on many areas of business around the world, which found itself in a situation close to the "perfect storm". This caused a sharp surge in the interest of economists in studying new trends and patterns of socio-economic development during a pandemic: the state of the real sector of the economy (Drobot et al, 2020), transformation of the labour market (Drobot, 2020;Sawangchai et al, 2020;Zandi et al, 2020), the emergence of threats to the national interests of the state (Erokhina et al, 2020), an increase in the tension of political processes (Gromyko, 2020), changes in the ecological situation (Torkanovskiy, 2020). Relatively few studies are devoted to the strategic priorities of companies that have changed under the influence of the pandemic, and the transformation of corporate, competitive and functional strategies (Lapshina et al, 2020; publications of leading companies in the management consulting market -Boston Consulting Group, McKinsey).…”

Section: Introductionmentioning

confidence: 99%

Enterprises’ strategies transformation in the real sector of the economy in the context of the COVID-19 pandemic

Baryshnikova

Kiriliuk

Klimecka-Tatar

2021

Production Engineering Archives

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The article examines the impact of the COVID-19 pandemic on the content of key functional strategies of companies in the real sector of the economy. The purpose of the article is to assess the changes in the economic behaviour of companies in the context of the COVID-19 pandemic, to analyse business practices in adapting functional strategies to new risks, and to determine the directions for transforming functional strategies. An analysis of companies’ business practices showed that the pandemic had a significant impact on the economic behaviour of companies, transforming not only their tactics, but also their strategy. The functional strategies of the companies have undergone significant changes - marketing, production, personnel management strategies. The transformation of the marketing sphere is due to new trends in the sphere of consumption that have arisen as a result of the introduction of restrictive measures by states. The changed conditions of production activities necessitated accelerated digitalization and robotization of production, restructuring of supply chains and determined the need for the formation of innovative production strategies that meet the conditions of the Industry 4.0 era. The strategy and tactics of personnel management of companies are adapting to the conditions of the epidemic using a remote work format, digitalization of processes and tasks, and the use of new approaches in management. Based on the results of the study, the authors concluded that the pandemic has highlighted problems in the ability of companies to learn quickly in a rapidly changing environment. Today, the surviving companies are those that have been able to best adapt to unforeseen threats. For them, the coronavirus pandemic is not the cause of the crisis, but a turning point and a unique opportunity to develop in a highly competitive environment.

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Section: Introductionmentioning

confidence: 99%

Enterprises’ strategies transformation in the real sector of the economy in the context of the COVID-19 pandemic

Baryshnikova

Kiriliuk

Klimecka-Tatar

2021

Production Engineering Archives

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“…The e-learning paradigm is a development of the 1980s distance learning style of education [6]. In the ongoing global lockdown due to the coronavirus disease of 2019 (COVID- 19) pandemic, e-learning has proved to be the only choice for ongoing learning [7]. Every university in the world has now invested extensively in e-learning, and many traditional classroom-based classes have changed to e-learning [8,9].…”

Section: Introductionmentioning

confidence: 99%

E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education

Alyoussef¹

2021

Sustainability

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The aim of this study was to fill the gap in the literature on e-learning acceptance and its role in the sustainability of learning and the role of task-technology fit (TTF), which influences student satisfaction and academic performance. While researchers have examined e-learning acceptance in a variety of contexts, the role of TTF as a mediating variable in measuring education sustainability has not been explored using the technology acceptance model (TAM). As a result, the goal of this study was to develop a new paradigm by combining two theories: TFF and the TAM. In total, 432 students and researchers from public universities participated in this study. We surveyed students using the structural equation modelling (SEM) approach to learn about their expectations with regard to e-learning adoption. According to the findings, perceived ease of use has a positive impact on perceived enjoyment and usefulness, which in turn has a positive impact on task–technology fit and e-learning use in higher education, resulting in a positive impact on student satisfaction and academic performance as well as sustainability. Finally, the role of task-technology fit and e-learning usage in education sustainability had a positive effect on student satisfaction and learning performance. As a result, the use of e-learning in learning processes should be encouraged as a long-term strategy in higher education institutions.

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“…Sierra et al (2020) discuss successfully implemented strategies in a metal working Mexican company, by computing a new index of organisational prevalence. Sawangchai et al (2020) use an e-questionnaire on entrepreneurial Thai university students and prove that the quality of e-services and e-information positively influence e-learning education for entrepreneurs in the context of Covid-19 (Wach & Bilan, 2021;Nowiński et al, 2020). Marona and Tomal (2020) discuss the implications of Covid-19 on the real estate market in Krakow.…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamic indexing and clustering of government strategies to mitigate Covid-19

Kinnunen¹,

Georgescu²,

Hosseini³

et al. 2021

EBER

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The objective of the article is to identify the reference group of countries with similar Covid strategies and other groups with their performance success, and to construct a composite Covid Mitigation Index for comparative purposes, thus, implying how to redesign the strategic policies. Research Design & Methods: Gaussian Mixture Modelling and Factor Analysis: the main design is quantitative, using Gaussian Mixture Modelling to find the optimal number of country clusters, and Factor Analysis with Principal Axis Factoring (FA-PAF) to build a composite index of governmental policies. Data includes eight mitigation policy variables and three supporting economic policy variables. Data are aggregated to form three periods and the cluster changes are identified by Gaussian Mixture Modelling. Then, the Covid Mitigation Index (CMI) is constructed by FA-PAF to obtain a comparative measure over the periods and the country clusters. The results were obtained by means of R studio and SPSS. Findings: The dynamic clustering leads to a decreasing number of clusters from nine clusters in the first period (January-February 2020), four clusters in the second period (March-April 2020), and two clusters in the third period (May-June 2020). In the first period, China (with CMI=48) took serious actions forming its own cluster, while 11 other countries (with CMI>10), e.g., early affected European countries such as Italy and Spain and large Asian countries such India and Indonesia, took moderate actions. In the second period all cluster averages were greater than China's in the first period, i.e., most world countries were dedicated to fight Covid-19. In Europe, Italy, San Marino and France showed the highest CMI values, similarly to Iraq and Palestine in the Middle East, Peru and Honduras in the Latin America, and China, India and Indonesia in Asia. In the third period, cluster averages showed even tighter policies even though 42 countries had lower CMI values than previously. Implications & Recommendations:The approach provided a big picture for decision makers both in business and in governments. The key idea was to reveal reference groups of countries which help governmental actors to design and adapt their strategies over time by learning by their own experience and the results of the better performing clusters. It was suggested that a multi-criteria approach accounting for individual government's preferences over health and economy is used along with the presented approach. Contribution & Value Added: Clustering with Gaussian Mixture Models and factor analysis based on Principal Axis Factoring for composite-index building were used. The methods are well-established, but they were applied in a novel way dynamically over time and for the composite CMI. CMI was built on two factors which identified the structure of mitigation policies and economic policies. The development of governmental polices over the first cycle of Covid-19 pandemic was described. Article type:research article

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Effects of Covid-19 on Digital Learning of Entrepreneurs

Cited by 21 publications

References 0 publications

Enterprises’ strategies transformation in the real sector of the economy in the context of the COVID-19 pandemic

Enterprises’ strategies transformation in the real sector of the economy in the context of the COVID-19 pandemic

E-Learning Acceptance: The Role of Task–Technology Fit as Sustainability in Higher Education

Dynamic indexing and clustering of government strategies to mitigate Covid-19

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