Changing Trends of Shopping Habits and Tourism During the Second Wave of COVID-19 – International Comparison

Mura, Ladislav; Korcsmáros, Enikő; Esseová, Monika; Marča, Roland

doi:10.29036/jots.v12i22.256

Cited by 17 publications

(16 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another advantage is the band's determination in which the demand usually moves, which may also be helpful for logistics planning. Monitoring of the band using Google Trend data may be potentially helpful for other applications, like trends of customer loyalty monitoring (Khan et al, 2021) or changing trends in customers' shopping habits (Machová et al, 2021). Determining the band in which demand will move can thus respond to the impossibility of determining a universal forecast method.…”

Section: Discussionmentioning

confidence: 99%

Demand forecasting: an alternative approach based on technical indicator Pbands

Kolková

Ključnikov

2021

View full text Add to dashboard Cite

Research background: Demand forecasting helps companies to anticipate purchases and plan the delivery or production. In order to face this complex problem, many statistical methods, artificial intelligence-based methods, and hybrid methods are currently being developed. However, all these methods have similar problematic issues, including the complexity, long computing time, and the need for high computing performance of the IT infrastructure. Purpose of the article: This study aims to verify and evaluate the possibility of using Google Trends data for poetry book demand forecasting and compare the results of the application of the statistical methods, neural networks, and a hybrid model versus the alternative possibility of using technical analysis methods to achieve immediate and accessible forecasting. Specifically, it aims to verify the possibility of immediate demand forecasting based on an alternative approach using Pbands technical indicator for poetry books in the European Quartet countries. Methods: The study performs the demand forecasting based on the technical analysis of the Google Trends data search in case of the keyword poetry in the European Quartet countries by several statistical methods, including the commonly used ETS statistical methods, ARIMA method, ARFIMA method, BATS method based on the combination of the Cox-Box transformation model and ARMA, artificial neural networks, the Theta model, a hybrid model, and an alternative approach of forecasting using Pbands indicator. The study uses MAPE and RMSE approaches to measure the accuracy. Findings & value added: Although most currently available demand prediction models are either slow or complex, the entrepreneurial practice requires fast, simple, and accurate ones. The study results show that the alternative Pbands approach is easily applicable and can predict short-term demand changes. Due to its simplicity, the Pbands method is suitable and convenient to monitor short-term data describing the demand. Demand prediction methods based on technical indicators represent a new approach for demand forecasting. The application of these technical indicators could be a further forecasting models research direction. The future of theoretical research in forecasting should be devoted mainly to simplifying and speeding up. Creating an automated model based on primary data parameters and easily interpretable results is a challenge for further research.

show abstract

Section: Discussionmentioning

confidence: 99%

Demand forecasting: an alternative approach based on technical indicator Pbands

Kolková

Ključnikov

2021

View full text Add to dashboard Cite

show abstract

“…The most important channels through which COVID-19 has affected consumer spending are consumer confidence, unemployment levels, reduced wages and the cost of living (Gabrielli & Impicciatore, 2021;Rebhun, 2021). The pandemic also has changed the spending structure (Machová et al, 2021;Pimonenko et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Economic growth and labour market in the European Union: lessons from COVID-19

Přívara

2022

View full text Add to dashboard Cite

Research background: The world has been fighting the new pandemic caused by COVID-19 since March 2020. The subsequent restrictions on economic activity resulted in a supply shock, accompanied by a supply chain disruption, job layoffs, reduced work time and wages and decreased disposable incomes and taxes, which led to a demand shock. However, whether a close link exists between the number of confirmed cases, deaths and economic indicators during the COVID-19 pandemic remains uncertain. Purpose of the article: The current study aims to analyse the impact of the number of infections and deaths on economic growth and labour market indicators in the member states of the European Union. Methods: To achieve the main research goal, we conduct a panel data analysis on the quarterly data of 2020. Specifically, we developed three random-effects panel data econometric models to estimate the significance of infection and mortality rates for economic growth as well as employment and unemployment rates. Findings & value added: This study contributes to the existing literature by analysing the link between the infection and mortality rates of COVID-19 and selecting macro-economic indicators within the European Union. The results show that the infection rate is not a significant variable for economic growth and labour market indicators. However, an increase in the number of confirmed deaths has a significantly negative impact on the economy. Moreover, an increase in the mortality rate has a worse impact on the labour market than on economic growth in general. These results can serve as a theoretical basis for future research on the interconnections between pandemics and macro-economic indicators. The findings can also contribute to developing efficient policy instruments for mitigating the negative impact of pandemics in the future, thereby ensuring the cooperation of fiscal, monetary and health policy authorities.

show abstract

“…The services sector such as retail, hospitality and tourism were particularly affected (e.g. Machová et. al, 2021).…”

Section: Introductionmentioning

confidence: 99%

The change in e-commerce in the context of the Coronavirus pandemic

Paraschiv

Ţiţan

Manea

et al. 2022

Management &Amp; Marketing. Challenges for the Knowledge Society

View full text Add to dashboard Cite

As COVID-19 had been posing unprecedented challenges, the economic agents as well as the individuals had to adapt to a new lifestyle. The preventing measures against the spread of the virus determined an increase in e-commerce activity in general, and in mobile commerce in particular. In this regard, sellers redefined their strategies revolving around smartphone applications for online shopping, which will gradually become the global shopping standard. Therefore, the aim of this paper is to evaluate the current situation of e-commerce, focusing on the main transformations since the beginning of the pandemic. The methods used in the paper consist in both qualitative research of the literature regarding e-commerce and a quantitative analysis that captures two aspects: on one hand it highlights the change determined by the pandemic in online commerce, and on the other hand it shows an X-ray of the EU states positioning in terms of e-commerce evolution. The latter consists in a comparative Hierarchical Cluster Analysis that aims to provide an image on the situation of EU states, before and after the pandemic has been installed. The Cluster Analysis was carried out in SPSS software and it is based on a series of chosen indicators from Eurostat database. This comparison provides an image of how changes among the clusters take place in terms of e-commerce indicators. It is noted that in countries where the digitization was more developed, the value of the change in online commerce was less considerable, comparing to the Eastern and Balkan states, which had a more significant increase. However, there are significant limitations based on the small number of indicators taken into consideration in this paper. Future work needs to be done in order to explore new ways to address the challenges identified in the development of e-commerce and online shopping.

show abstract

Changing Trends of Shopping Habits and Tourism During the Second Wave of COVID-19 – International Comparison

Cited by 17 publications

References 35 publications

Demand forecasting: an alternative approach based on technical indicator Pbands

Demand forecasting: an alternative approach based on technical indicator Pbands

Economic growth and labour market in the European Union: lessons from COVID-19

The change in e-commerce in the context of the Coronavirus pandemic

Contact Info

Product

Resources

About