The internet and e-commerce diffusion in European countries (modeling at the example of Austria, Poland and Ukraine)

Zatonatska, Tetiana; Dluhopolskyi, Oleksandr; Chyrak, Iryna; Kotys, Nataliya

doi:10.21511/im.15(1).2019.06

Cited by 19 publications

(7 citation statements)

References 20 publications

(11 reference statements)

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“…Digital infrastructure is the main influencing factors on digital economy and trade, from our study and existing research. Zatonatska et al ( 2019 ) conducted research on the development of the Internet and e-commerce in European countries, such as Austria, Poland, and Ukraine, and showed that the spread of Internet technology has a significant impact on the development of e-commerce. At the same time, Internet technology and broadband Internet access have spread faster in low-income countries owing to the late diffusion of digital technologies.…”

Section: Discussionmentioning

confidence: 99%

Development and Influencing Factors of International Trade in Digitally Deliverable Services

Zhi

Song

et al. 2022

Front. Psychol.

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IntroductionInternational trade in digitally deliverable services has been developing rapidly in recent years, especially during pandemics. However, the growth rate and scale differ among regions and countries. To promote the growth and bridge the divide of global trade in digitally deliverable services, we provide feasible policy suggestions in this paper.MethodsBased on panel data of 33 countries' digitally deliverable service trade from 2005 to 2020, this study analyzes the development trends and influencing factors of international trade in digital-global service trade.ResultsThe development of digitally deliverable services in developed countries is far ahead, while in emerging economies such as China and India, it is growing at a high speed. Digital infrastructure; human capital; and science, technology, and innovation capacity have a significant impact on the digitally deliverable trade of countries with the level of STI playing the most important influence. Further, heterogeneity analysis shows that human capital and STI capacity are more sensitive to the digitally deliverable trade of middle-income countries than to the impact of high-income countries, and the contribution of population in middle-income countries is more pronounced.ConclusionAs the proportion of digital trade in global trade continues to increase, the role of digital service trade in countries' sustainable development is becoming more prominent. To cope with such opportunities and challenges, countries, especially developing countries, should actively increase digital infrastructure construction, improve talent training, vigorously develop digital technology, and enhance their innovation capacity.

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Section: Discussionmentioning

confidence: 99%

Development and Influencing Factors of International Trade in Digitally Deliverable Services

Zhi

Song

et al. 2022

Front. Psychol.

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“…In the article (Rosario et al, 2021) it is proved that marketing approaches, such as IoT, big data, artificial intelligence, and machine learning, allow tracking in real time the relationship between business efficiency and advertising. Many studies focus on the importance of big data in the e-commerce and e-business industry (Riddle, 2020;Ryfiak, 2020;Zatonatska et al, 2019;Zatonatska et al, 2021;Mykhalchuk et al, 2021) or cryptocurrency market development (Suslenko et al, 2022;Zatonatska et al, 2022). Such research is extremely relevant for forecasting and making optimal management decisions in times of uncertainty and risk.…”

Section: Literature Reviewmentioning

confidence: 99%

Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine

et al. 2022

Self Cite

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Today, the use of machine learning technology in combination with the use of big data are topics that are actively discussed in business around the world. This topic has long gone beyond the information sphere, as it now applies to almost every sphere of life: economic, telecommunications, education, medicine, administration, and especially defense. Predicting customer behavior based on scoring models is in its infancy in Ukrainian companies, the main ones being the introduction of artificial intelligence technologies and machine learning, which will be the leading catalyst that will facilitate decision-making in business in the nearest future. The aim of the study is to develop a scoring model that predicts the behavior of target segments, namely, updating their activity to activate advertising tools. To achieve the goal of the work a set of research methods was used: dialectical – to reveal the theoretical foundations of models and types of forecasting models; analytical – in the study of the functioning of the environment SAS, Anaconda; optimization methods – to choose the best model and generate features. Scientific novelty and theoretical significance lie in the development of a scoring model for predicting the activity of subscribers of the telecommunications company “VF Ukraine”, on the basis of which marketing campaigns are conducted. With the help of the built-in scoring model, the company “VF Ukraine” can target its campaigns to retain subscribers. The marketing directorate of the enterprise can choose the TOP-20 or TOP-30 of the most prone subscribers to non-resumption of activity, i.e., tend to switch to other mobile operators, and hold promotions for them – providing additional gifts and bonuses, money to mobile account.

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“…This also contributed to the result. Households traditionally walk to grocery stores (Zatonatska, et al, 2019)…”

Section: Case Studymentioning

confidence: 99%

Patterns of the Distribution of the Demand of End-Consumers among Retailers in the Zone of their Residence

Galkin

Zaytsev²,

Shyshkin

et al. 2021

Foundations of Management

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The rapid development of retail and e-commerce is forcing marketing and logistics to be competitive and adapt to the demands of end-customers. At the same time, accurately determining the demand for goods allows to better understand customers and plan deliveries. The purpose of this article is to study the change in patterns of probability of choosing the option to purchase goods among end-consumers with and without the presence of e-commerce. The study consisted of research buyers, determining the probability of purchasing goods from “consumer basket” in the traditional way and over the Internet, which is considered for the example of one of the Kharkiv districts. The results develop e-commerce potential in Ukraine and are intended to determine the motives of consumers when choosing a shopping option.

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The internet and e-commerce diffusion in European countries (modeling at the example of Austria, Poland and Ukraine)

Cited by 19 publications

References 20 publications

Development and Influencing Factors of International Trade in Digitally Deliverable Services

Development and Influencing Factors of International Trade in Digitally Deliverable Services

Forecasting the Behavior of Target Segments to Activate Advertising Tools: Case of Mobile Operator Vodafone Ukraine

Patterns of the Distribution of the Demand of End-Consumers among Retailers in the Zone of their Residence

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