Data Science and Marketing in E-Commerce  Amid COVID-19 Pandemic

Fedirko, Olha; Zatonatska, Tetiana; Wołowiec, Tomasz; Skowron, Stanisław

doi:10.35808/ersj/2187

Cited by 12 publications

(10 citation statements)

References 14 publications

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“…If the purchased goods are not in the original plan, you can say this irrational consumer behavior has occurred. Literature [5] believes that emotions can cause irrational consumer behaviors. When irrational consumer behaviors occur, their characteristics are often impulsive and reckless.…”

Section: Related Workmentioning

confidence: 99%

Model Construction of Hierarchical Polarization Characteristics Combined with Social E-Commerce Consumer Behavior

Zhang

Yang

2022

Security and Communication Networks

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In order to analyze the consumer behavior of social e-commerce, this article attempts to explore the irrational consumer behavior factors that affect the audience in the live broadcast of e-commerce Internet celebrities. This paper predicts and analyzes the consumption behavior of social e-commerce and combines the characteristics of hierarchical planning to intelligently process the system to improve the effectiveness of the system. Moreover, this paper constructs a social e-commerce consumer behavior prediction model based on hierarchical polarization characteristics, researches and analyzes multiple factors and performance, and builds an intelligent simulation model. The analysis of the test results shows that the social e-commerce consumer behavior prediction model based on the hierarchical polarization characteristics proposed in this article is effective and can play an important role in the prediction of social consumer behavior.

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Section: Related Workmentioning

confidence: 99%

Model Construction of Hierarchical Polarization Characteristics Combined with Social E-Commerce Consumer Behavior

Zhang

Yang

2022

Security and Communication Networks

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“…In addition, since the program constructs a dictionary of “aspect-view-emotion” triples, the toolkit can also detect the triples contained in the review text. Based on the Sentiers toolkit, Fedirko et al [ 20 ] designed an explicit factor model and proposed to use the “aspect-view”the performance of the item in all aspects.…”

Section: Related Workmentioning

confidence: 99%

Cross-Border E-Commerce Intelligent Information Recommendation System Based on Deep Learning

2022

Computational Intelligence and Neuroscience

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In order to improve the effect of cross-border e-commerce intelligent information recommendation, this paper applies deep learning to the intelligent information processing and intelligent recommendation of e-commerce and proposes an improved version of the topic model to solve the problem of feature extraction of the text of the recommendation system. In order to deal with translation problems, this paper proposes an end-to-end sequence-to-sequence learning method. In addition, this study uses the long tail theory to excavate the mass commodities in the niche and recommends these products to users as suggestions. Finally, this paper proposes a niche product recommendation algorithm based on the graph search strategy based on the graph model. The experiment shows that the cross-border e-commerce intelligent information recommendation system based on deep learning proposed in this paper has a good recommendation effect and meets the recommendation needs of cross-border e-commerce.

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“…Kalenyuk et al (2020) carried out a thorough analysis and systematized the features of the formation of corporate intellectual capital in the digital economy, revealing its impact on the content and nature of the job [12]. Fedirko et al (2021) conduct a simulation of the changes in IT sector employment in the European Union until 2025. Based on official statistics regarding the number of highly qualified unemployed people, the authors predict a decrease in unemployment due to the increasing demand for IT professionals [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Digital Employment: Ukraine’s Ranking in the Global Division of Digital Labour

2022

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The paper reviews information on the formation and development of a new form of employment — digital one — and identifies its impact on the country’s place in the global dimension. The overall objective of the study is to verify the trends of digital employment in Ukraine and assess its place and role in the global distribution of the digital workforce. The literature review indicates a lack of research on the gap between the level of technological development of the country and the use of digital employees in the national economy. This is particularly imperative for developing countries, which technologically remain far behind, and to which Ukraine belongs.The scholars used a certain sequence to conduct the study of this issue, particularly: at first, in accordance with the characteristics of digital employment, the authors identified the types of business where the largest number of digital workplaces is concentrated. Secondly, the researchers analysed the statistical indicators of digital employment in Ukraine for 10 years and revealed the development tendencies of this segment. Thirdly, the study compared the data on employment, wages and the obtainability of the favourable domestic talent development environments for the country of reference and a neighbouring country with a higher level of economic development. Fourthly, the research identified the factors influencing the spread of digital employment and defined the place and role of Ukraine in the global digital landscape.The study uses methods of analysis and synthesis, abstraction and generalisation in the verification of digital employment trends, statistical and analytical methodologies in the study of the state and trends inherent in the digital segment of national employment markets. The knowledge base of the research consists of the official statistics of Ukraine, Poland, analytical materials of UNIDO, The World Economic Forum, OECD, Eurostat.The object of the study is the digital segment of the labour markets of Ukraine and Poland, as these countries have similar preconditions for economic development, they are geographically located in Eastern Europe and border each other. At the same time, Poland has a higher level of economic development and is a recipient country for Ukrainian migrant workers.The paper presents the results of empirical analysis, which showed that technological lag is the major precondition for the low demand for digital employment in Ukraine. Accordingly, this determines that Ukraine is basically a resource colony in the digital global environment, which supplies highly qualified digital workers. The experts and practitioners can use the results of the study to elaborate a strategy for the development of Ukraine’s economy in the context of digitalisation.

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Data Science and Marketing in E-Commerce Amid COVID-19 Pandemic

Cited by 12 publications

References 14 publications

Model Construction of Hierarchical Polarization Characteristics Combined with Social E-Commerce Consumer Behavior

Model Construction of Hierarchical Polarization Characteristics Combined with Social E-Commerce Consumer Behavior

Cross-Border E-Commerce Intelligent Information Recommendation System Based on Deep Learning

Digital Employment: Ukraine’s Ranking in the Global Division of Digital Labour

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