Analysis and Forecast of the Use of E-Commerce in Enterprises of the European Union States

Şoavă, Georgeta; Mehedințu, Anca; Sterpu, Mihaela

doi:10.3390/su14148943

Cited by 11 publications

(7 citation statements)

References 67 publications

(81 reference statements)

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“…These platforms can also support the implementation of policies by providing data-driven insights into consumer behavior and waste patterns, offering a potent tool for policymakers to craft more targeted and effective food waste strategies. Thus, ecommerce not only supports economic growth but also fosters a more responsible stewardship of resources, highlighting its critical role in achieving sustainable food systems and environmental protection [43][44][45][46].…”

Section: Discussionmentioning

confidence: 99%

“…The integration of e-commerce into the management of food systems promises not only to enhance economic growth, as evidenced by its correlation with GDP but also to foster more sustainable consumer behaviors. This dual benefit underscores the importance of further interdisciplinary research into the nexus between e-commerce, economic indicators, and environmental sustainability [43][44][45][46].…”

Section: Discussionmentioning

confidence: 99%

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GDP and Household Food Waste in the Digital Era: How E-Commerce Can Transform European Sustainability Practices

Gencia,

Balan

2024

Preprint

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The article examines the relationship between household food waste and GDP in various European regions, aiming to determine how economic prosperity influences household food waste levels. Using comparative analysis of secondary and tertiary data, we developed a synthetic indicator (IpFW), to assess the interaction between GDP per capita and household food waste per capita. Despite expectations, higher GDP did not consistently correlate with lower food waste, challenging assumptions about economic prosperity and environmental stewardship. The research underscores the complex interplay between economic factors and food waste management, revealing no significant correlation even at regional levels. It also highlights the potential of e-commerce in enhancing food waste reduction strategies. E-commerce platforms can optimize food supply chains and consumer behavior, contributing to more sustainable consumption patterns. The conclusions call for a reevaluation of policies and suggest that integrating e-commerce could bolster efforts to manage food waste more effectively, aligning with the Sustainable Development Goals.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

GDP and Household Food Waste in the Digital Era: How E-Commerce Can Transform European Sustainability Practices

Gencia,

Balan

2024

Preprint

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“…There are studies that present whether the jobs created by the development of e-commerce exceed the jobs lost as a result of the adoption of technologies, by studying the process in 28 European countries during two crises: the financial crisis of 2008 and the pandemic of 2020 [17,50]. Other comprehensive research covers a period of 17 years, from 2003 to 2020, and analyzes the use of e-commerce and its impact on GDP within the EU Member States [51]. On the other hand, a more global strategy could benefit other countries because foreign economic agents can enter into partnerships with economic agents from companies classified as high-performing in order to sell their products on the Romanian markets, thus generating positive changes in the economy of the countries where the sellers come from.…”

Section: Discussionmentioning

confidence: 99%

Scenarios to Improve E-Commerce SMEs Activity Based on Their Classification: A Case Study on Romania

et al. 2023

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With the onset of the COVID-19 pandemic, society has increasingly relied on alternative ways to procure goods, leading to an e-commerce boom. This study analyzes the performance of small and medium-sized enterprises (SMEs) that are active in e-commerce in Romania and provides recommendations for entrepreneurs to improve their efficiency. Through unsupervised learning techniques, three classes are identified according to company performance: (1) a class of high-performing companies whose entrepreneurs took the risk of investing in the business, (2) a class of medium-performing companies that maintained their position in the market and (3) a class of financially weak companies whose managers adopted risk-averse, defensive policies. Furthermore, we present scenarios for moving companies from a lower-performing class to a higher-performing class. The research identifies the strategies that managers need to adopt in order to stimulate the activity of e-commerce companies, provides foreign investors a rubric for making investment decisions, and offers a starting point for an entrepreneurship course in academia.

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“…The globalization of e-commerce has surged dramatically in recent years, especially in the past year, its influence and value have been greatly amplified. According to related statistical data, global e-commerce sales reached a staggering $4.28 trillion in 2020 [ 1 ], and this number is expected to rise further to $5.4 trillion by 2024 [ 1 ]. This impressive growth not only showcases the enormous potential of e-commerce but also reveals the significant challenges and issues underlying it.…”

Section: Introductionmentioning

confidence: 99%

Advancing e-commerce user purchase prediction: Integration of time-series attention with event-based timestamp encoding and Graph Neural Network-Enhanced user profiling

Zhou,

Hudin

2024

PLoS ONE

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In recent years, the global e-commerce landscape has witnessed rapid growth, with sales reaching a new peak in the past year and expected to rise further in the coming years. Amid this e-commerce boom, accurately predicting user purchase behavior has become crucial for commercial success. We introduce a novel framework integrating three innovative approaches to enhance the prediction model’s effectiveness. First, we integrate an event-based timestamp encoding within a time-series attention model, effectively capturing the dynamic and temporal aspects of user behavior. This aspect is often neglected in traditional user purchase prediction methods, leading to suboptimal accuracy. Second, we incorporate Graph Neural Networks (GNNs) to analyze user behavior. By modeling users and their actions as nodes and edges within a graph structure, we capture complex relationships and patterns in user behavior more effectively than current models, offering a nuanced and comprehensive analysis. Lastly, our framework transcends traditional learning strategies by implementing advanced meta-learning techniques. This enables the model to autonomously adjust learning parameters, including the learning rate, in response to new and evolving data environments, thereby significantly enhancing its adaptability and learning efficiency. Through extensive experiments on diverse real-world e-commerce datasets, our model demonstrates superior performance, particularly in accuracy and adaptability in large-scale data scenarios. This study not only overcomes the existing challenges in analyzing e-commerce user behavior but also sets a foundation for future exploration in this dynamic field. We believe our contributions provide significant insights and tools for e-commerce platforms to better understand and cater to their users, ultimately driving sales and improving user experiences.

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Analysis and Forecast of the Use of E-Commerce in Enterprises of the European Union States

Cited by 11 publications

References 67 publications

GDP and Household Food Waste in the Digital Era: How E-Commerce Can Transform European Sustainability Practices

GDP and Household Food Waste in the Digital Era: How E-Commerce Can Transform European Sustainability Practices

Scenarios to Improve E-Commerce SMEs Activity Based on Their Classification: A Case Study on Romania

Advancing e-commerce user purchase prediction: Integration of time-series attention with event-based timestamp encoding and Graph Neural Network-Enhanced user profiling

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