The Future of Food: Environmental Lessons from E-Commerce

Gee, Isabella Marie; Heard, Brent R.; Webber, Michael E.; Miller, Stephen E.

doi:10.1021/acs.est.0c01731

Cited by 23 publications

(20 citation statements)

References 64 publications

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“…Moreover, they prompted consumers to increase their interest in this form of purchasing food products. Some enterprises operating in the delivery area recorded a sales increase of up to 500%compared to April 2020 [57]. Furthermore, it is estimated that electronic sales of food will increase by approx.…”

Section: Literature Reviewmentioning

confidence: 99%

Marketing Activities of Local Food Producers in E-Commerce

Szymański

2021

Sustainability

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The food industry is characterized by a constant increase in value. The purpose of this study is to identify the most popular marketing forms used by the analyzed enterprises, which were food producers selling online among the local community and identification of the correlation of the analyzed variables with the age of companies. The survey was carried out with the use of the CATI (Computer Assisted Telephone Interviewing) method, and the research tool was a questionnaire. The Chi-square statistics was used to examine the dependencies of individual variables and V-Cramer coefficient was used to identify the strength of the correlation. The obtained results and their analysis enable to conclude that there is a strong relation between the number of encountered problems in conducting online sales and the period of the company’s existence. The relationship (with a moderate strength) between sources of marketing inspirations used in e-stores and the company’s age was also confirmed. Furthermore, it was noticed that the number of marketing tools increases with the period of the company’s existence. Sales promotion, social media marketing and website positioning were indicated among the most popular tools.

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Section: Literature Reviewmentioning

confidence: 99%

Marketing Activities of Local Food Producers in E-Commerce

Szymański

2021

Sustainability

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“…Efficiently identifying useful information from the complex and disorderly original data and assisting the e-commerce field in making accurate decisions, realizing the intelligent of e-commerce management systems, will be the general trend in the contemporary e-commerce field. Accurately classifying and summarizing these data and making the development direction of e-commerce management by many data are the primary problems faced by enterprise managers [ 5 ]. At the same time, the data and information from inside and outside the enterprise are changing rapidly [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

E-Commerce Information System Management Based on Data Mining and Neural Network Algorithms

Zhang

Abdullah

Chong

et al. 2022

Computational Intelligence and Neuroscience

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The rapid development of artificial intelligence technology has led to rapid development in various fields. It has many hidden related customer behavior information and future development trends in the e-commerce information system. The data mining technology can dig out useful information and promote the development of e-commerce. This research analyzes the significance and advantages of data mining technology in the application of e-commerce management systems and analyzes the related technologies of data mining and future trend prediction. This research has taken the advantages of clustering and naive Bayesian methods in data mining to classify product information and purchase preferences and other information and mine the associated data. Then, the nonlinear data processing advantages of neural networks are used to predict future purchasing power. The results show that data mining technology and neural networks have high accuracy in predicting future consumer purchasing power information. The correlation coefficient between real consumption data and predicted consumption data reached 0.9785, and the maximum relative average error was only 2.32%. It fully shows that data mining technology can obtain some unrecognizable related information and future consumption trends in e-commerce systems, and neural networks can also predict future consumption power and consumption patterns well.

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“…At present, there are still many problems and shortcomings, and they cause the relatively lagging development of the enterprise [7]. erefore, studying the financial management mode has important theoretical and practical significance in this period [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing

Liu

Bao

2021

Mobile Information Systems

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In recent years, the rapid development of information technology has affected the way the world economy operates. The emergence of e-commerce has greatly shortened the time and space distance between economic participants and maximized the sharing of resources. However, the financial management and risk assessment capabilities of the existing supply are insufficient to adapt to the rapidly developing new environment. This article uses a combination of normative analysis and empirical analysis to analyze the status quo of the supply chain of small and medium e-commerce companies. First, this article establishes an evaluation framework for the supply chain of e-commerce companies based on edge computing. Second, according to the distribution of the supply chain, this article adds the member’s predetermined quota, reputation, execution time, and other indicators as parameters to establish a fuzzy neural network model. On this basis, combined with the price regression model, the pricing plan is evaluated. The results show that the financing risk obtained by this model differs very little from the actual risk. The above-mentioned model constructs an e-commerce enterprise supply chain financing risk management model that adapts to the environment of the new era.

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The Future of Food: Environmental Lessons from E-Commerce

Cited by 23 publications

References 64 publications

Marketing Activities of Local Food Producers in E-Commerce

Marketing Activities of Local Food Producers in E-Commerce

E-Commerce Information System Management Based on Data Mining and Neural Network Algorithms

E-Commerce Enterprise Supply Chain Financing Risk Assessment Based on Linked Data Mining and Edge Computing

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