Analysis of Digital Customer Communities in terms of their interactions during the first wave of the COVID-19 pandemic DOI Creative Commons
František Pollák, Roman Vavrek, Jan Váchal

et al.

Management & Marketing, Journal Year: 2021, Volume and Issue: 16(2), P. 134 - 151

Published: June 1, 2021

Abstract The COVID-19 pandemic has redefined procedures in every business sector. In the first half of 2020, companies had to face an unexpected and unpredictable situation that resulted both threats opportunities real time. Almost overnight, brick-and-mortar establishments most stores closed, dominant part transactions activities moved from offline online environment. main goal paper is identify changes interactions digital customer communities selected e-business representatives Czech market. Within a sample almost one million Facebook users, during spring lockdown (March May 2020), five largest e-shops their customers were recorded on daily basis. data then subjected thorough statistical analysis order specifics highly non-standard market situation. results suggest pandemic, there was major reallocation terms timing. Most take place working week. From day-to-day perspective, occur at around noon. view findings, it can be stated maintain competitiveness resulting efficient management corporate resources, will necessary modify usual e-marketing communication, as well human resources optimization work employees home.

Language: Английский

Neural network modeling of the economic and social development trajectory transformation due to quarantine restrictions during COVID-19 DOI Creative Commons

Tetyana Vasilyeva,

Оlha Кuzmenko,

Mariusz Kuryłowicz

et al.

Economics & Sociology, Journal Year: 2021, Volume and Issue: 14(2), P. 313 - 330

Published: June 1, 2021

The article uses neural networks to model the effects of quarantine restrictions on most important indicators country's socio-economic development.The authors selected relevant and formed a specific sequence its calculation study direction transforming trajectory development particular country due restrictions.They used multilayer MLP perceptron based radial basis functions.They chose BFGS RBFT algorithms in network modeling.Collinearity was for data mining terms key factors change.The author's approach is unique an iterative procedure numerical optimization quasi-Newton methods ("self-learning" step-by-step "improvement" networks).The projected gross domestic product number unemployed affected by COVID-19 pandemic over three years.

Language: Английский

Citations

40

Identity crisis of artists during the Covid-19 pandemic and shift towards entrepreneurship DOI Creative Commons
Michał Szostak, Łukasz Sułkowski

Entrepreneurial Business and Economics Review, Journal Year: 2021, Volume and Issue: 9(3), P. 87 - 102

Published: Jan. 1, 2021

Objective: The objective of the article is to understand changes in artists' identity facing global obstacle caused by Covid-19 pandemic and impact crisis into shift towards entrepreneurial behaviours. Creative individuals seems be perfect examples adjustments changing environment. Research Design & Methods: qualitative research was conducted form in-depth interviews with key informants (artists different experiences from countries cultures) auto-ethnography. Findings: a artist's identity. Individuals complex identities deal better than sole individuals. Artists-entrepreneurs are increasingly looking for new forms activity during crisis. Artistry-Creativity-Entrepreneurship Matrix which allow shifts among one fractional case Implications Recommendations: results can used by: (entrepreneurs, managers, artists) having complex/mixed understanding situation its possibilities flowing layers human personality underlining creativity; 2) business types customers and/or wanting more market participants. Contribution Value Added: describes unexplored areas artistry creative entrepreneurs. Distinction between creativity marked here clearly. application theory aesthetics field artistic as basis analysis phenomenon creativity, opens up potential  

Language: Английский

Citations

37

New paradigms of quantification of economic efficiency in the transport sector DOI Creative Commons
Miloš Poliak, Lucia Švábová, Vladimír Konečný

et al.

Oeconomia Copernicana, Journal Year: 2021, Volume and Issue: 12(1), P. 193 - 212

Published: April 13, 2021

Research background: In determining the prices in road transport, carriers usually use calculations based on a so-called routes utilisation coefficient, which allows carrier to also take possibility of return rides without load into account. Currently, it is used as constant from interval zero one. Purpose article: Considering different offer transport individual European Union (EU) countries, can be assumed that coefficient should have values because there varying level non-zero probability vehicle will load. This study therefore proposes new approach value this direction. The aims identify clusters EU for common set. Methods: Analysis Variance (ANOVA) test was verify assumption differences among means offers. Cluster analysis aforementioned groups countries. real data offers Slovakia 18 Findings & added: results other countries if significant exist reasonable conclusion valid demonstrated more appropriate with various values, dependent For companies, implementation obtained practice beneficial increase their competitiveness through precise setting prices, but optimisation price itself regard expected costs.

Language: Английский

Citations

36

Impacts of the Covid-19 crisis on unemployment in Slovakia: a statistically created counterfactual approach using the time series analysis DOI Creative Commons
Katarína Kramárová, Lucia Švábová, Barbora Gabrikova

et al.

Equilibrium Quarterly Journal of Economics and Economic Policy, Journal Year: 2022, Volume and Issue: 17(2), P. 343 - 389

Published: June 25, 2022

Research background: The current health crisis, which began to take shape in mid-March 2020 due the massive spread of coronavirus SARS-CoV-2, has shaped face Slovak labour market most. Slovakia, similarly, other countries world, operated with several non-pharmaceutical anti-pandemic measures taken by government reduce virus or reverse adverse developments. On hand, these have frozen production, and business activities companies annulled not only number physical meetings collaborators but also contracts themselves. Consequently, demand for new decreased, many cases, redundancies occurred. Purpose article: study aims develop a comprehensive detailed analysis unemployment its development during 1st 2nd wave Covid-19 pandemic, determine extent affected market, identify most groups unemployed. Methods: To analyze impact on situation we applied approach where statistically created hypothetical state absence pandemic was compared real as consequence pandemic. modelled autoregressive order one-dimensional time series model linear trend seasonability. Findings & value added: results population, mostly together quantification unemployment. findings crisis can be further used creating targeted aimed at supporting unemployed individuals sustainability already existing jobs governmental economic social decisions.

Language: Английский

Citations

23

The Use of ICT-Based Applications to Support the Implementation of Smart Cities during the COVID-19 Pandemic in Indonesia DOI Creative Commons
Rini Rachmawati,

Ayu Dianita Sari,

Haddad Al Rasyid Sukawan

et al.

Infrastructures, Journal Year: 2021, Volume and Issue: 6(9), P. 119 - 119

Published: Aug. 26, 2021

The COVID-19 pandemic has resulted in compulsion and encouragement of actions that have enabled changes to occur globally then been adapted current conditions. For their highly dense populations, it is difficult control the spread virus cities. As a result, activities draw large crowds together so people can access public services are inevitable. Several cities declared as smart Indonesia made breakthrough by making use information communication technology (ICT)-based applications. This be great help for societies during pandemics. ICT able citizens perform various from home with study aims identify applications support implementation concept city. applies particularly those based on tackle unique conditions make recommendations regarding future developments. data collected this were analyzed using secondary sources obtained clusters literature, internet, social media. In addition, primary was gathered discussion forums. paper employs qualitative approach descriptive analysis techniques hierarchical cluster analysis. Qualitative utilized explore cities, regional pandemic, city more generally. results show regions, including 100 Indonesia, developed many innovative solutions through ICT-based maintain an active life services. future, when everything allegedly back normal, need implement increase efficiency planning management. Therefore, become increasingly necessary improve people’s digital literacy develop type infrastructure enables internet.

Language: Английский

Citations

31

Multi-dimensional analysis of regional investment attractiveness in Poland DOI Open Access
Elżbieta Roszko‐Wójtowicz, Maria Magdalena Grzelak

Equilibrium Quarterly Journal of Economics and Economic Policy, Journal Year: 2021, Volume and Issue: 16(1), P. 103 - 138

Published: March 31, 2021

Research background: A given region's investment attractiveness is a set of conditions that depend primarily on the policy country recipient direct foreign investment, encouraging or discouraging investors from making decisions about locating investments in area. These include economic conditions, infrastructure, political and legal system, business environment, sociocultural environment. investor, motive for exporting capital abroad search benefits can be derived activity conducted there, including easier entry into new markets. Purpose article: The main aim paper to distinguish groups voivodeships (NUTS 2 level) are relatively homogeneous terms attractiveness, which conducive inflow implementation projects involving capital. Methods: Distinguishing similar each other level made by applying hierarchical cluster analysis. dendrogram illustrates structure clusters objects according analysed variables. quality clustering result also assessed determining silhouette index. Comparative descriptive analysis CSO statistics additional methods used have contributed achievement paper. research period covers years 2000?2018. Findings & value added: voivodeship closely related its development. Therefore, following listed at top rankings: Mazowieckie, Dolnośląskie, Śląskie, Małopolskie, Pomorskie. study has confirmed creation special zones development regional smart specialisations contribute It worth noting assessment relative. comparison innovative based use average value, overestimated cities, i.e. central hubs, attracting investors. perspective using multi-dimensional statistical added article.

Language: Английский

Citations

29

Impact of Digital Inequality on the COVID-19 Pandemic: Evidence from European Union Countries DOI Open Access
Marta Borda, Natalia Grishchenko, Patrycja Kowalczyk-Rólczyńska

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(5), P. 2850 - 2850

Published: March 1, 2022

One of the consequences COVID-19 pandemic is relationship between social distancing measures and increased use Internet, electronic services, digital devices. How does inequality in context affect pandemic? In this article, we assessed impact existing as cause changing number cases EU. We increase first second waves 2020 presence Internet skills across sociodemographic factors: gender, age, education, generation, marital status, place residence. applied ordinary least squares method to data from 2019 Eurobarometer survey, which reveals maturity EU citizens, European Center for Disease Prevention Control 2020, tracks cases. found that strongest related rather than skills. The divide by generations, geographic show a strong positive with incidence gender gap shows negative both skills, indicating role women households pandemic, caring children elderly. A relation was also status reflects preferences regarding living alone during pandemic. These findings prove importance universal access older people those rural areas. results can contribute policies aimed at reducing inequalities face ongoing

Language: Английский

Citations

16

Exploring flexible working practices and the digital divide in a post-lockdown era DOI Creative Commons

Lebene Soga,

Yemisi Bolade-Ogunfodun,

Anna De Amicis

et al.

European Journal of Management and Business Economics, Journal Year: 2024, Volume and Issue: 33(4), P. 445 - 465

Published: Feb. 7, 2024

Purpose This paper explores flexible working practices (FWPs) and takes a critical view that argues need to consider not only access digital technological resources but also the vast array of factors constrain one’s ability use technology for its intended benefits, as constituting divide post-COVID-19 lockdown. Design/methodology/approach Using evaluation extant literature, we engage in conceptual undertaking develop theoretical propositions form basis future empirical undertakings. To theoretically ground arguments raised, deploy ontological lens actor-network theory illuminate socio-technical dimensions light FWPs. Findings Since COVID-19 pandemic, adopt socially distanced work has become reality many organisations. We find adoption FWPs, enabled by technologies, simultaneously signals hidden inequalities. framework which depicts user responses different environments can either be limiting or enabling individuals’ productivity. Originality/value With regards divide, attention often focused on term “digital divide” portrays. The implication is individuals are heterogeneously networked to, constitute taken granted. take brings fore other at play within an individual’s network relations.

Language: Английский

Citations

3

The banking sector as the absorber of the COVID-19 crisis? economic consequences: perception of WSE investors DOI Creative Commons
Michał Bernardelli, Zbigniew Korzeb, Paweł Niedziółka

et al.

Oeconomia Copernicana, Journal Year: 2021, Volume and Issue: 12(2), P. 335 - 374

Published: June 30, 2021

Research background: The paper focuses on the research of investors? decisions with regard to shares all 12 banks listed Warsaw Stock Exchange during first half 2020. It examines behavior a subindex reflecting bank shares? prices against main WIG index and 14 sector subindices. authors identify groups different responses. They also classify into separate basis changes in fundamental indicators describing their economic financial performance. study concentrates mainly verification stability this attribution, explaining reasons for its modifications over time. Purpose article: To characteristics clusters determining capital market responses explain volatility within analyzed period. Methods: methodology can be described three areas. is statistical analysis emphasis use quarter range capture share prices. second area clustering k-means method based interpolated ? from quarterly daily measures bank?s condition. This mathematical approach novelty finance economics. last, third, forecasting linear regression analysis, which key factor abnormal rates return. indicated areas are combined through generally understood correlation analysis. Findings & value added: Large retail have been less affected compared medium-sized ones relatively rich corporate portfolios. initial reaction reflected concern about resistance crisis poorly capitalized mean liquidity buffers. Upon announcement government support, differentiated performance conformed accordingly. These findings valuable long term especially perspective supervision authorities? policy external shocks. presented suggests designing flexible tailor-made regulatory aligned defined clusters. Its added consists proposing new combining interpolation automatic clustering, has proved adequate condition frequency data. Furthermore, assuming same length estimation window, close relationship shown between results forecasts

Language: Английский

Citations

22

Economic policy towards the challenges of the COVID-19 pandemic in selected European Union countries DOI Creative Commons

Martyna Żak,

Jakub Garncarz

Przedsiębiorczość Międzynarodowa, Journal Year: 2020, Volume and Issue: 6(4), P. 21 - 34

Published: Jan. 1, 2020

Objective: The aim of the article was to investigate impact various policies reduce spread epidemics on functioning key areas economy. Research Design & Methods: study constructed as an analysis development in selected countries over time. Data collected epidemic, adopted models fighting both area restrictions and restrictions, well economic support measures. In order find answer question which model epidemic is most effective, that used different methods were compared. a quantitative method present data scale crisis also crisis: size unemployment rate, production volume industry, retail trade studied. A partial literature query, comparative case used. Findings: showed no clear links between parents counteracting accessible infected diseased people, observations presented may constitute introduction further research applied during epidemic. correlations benchmark models, it would be necessary obtain daily for individual indicators conduct longer period. Contribution Value Added: This whole compiles analyses what actions taken by national governments limit coronavirus describes how economies these responded taken.

Language: Английский

Citations

21