The Internet has been widely used in these years and in recent years, it is still showing continuous growth. The Internet has become an important means of online transactions and services. This study ...examines the impact of e-commerce functions on people's willingness to purchase by telling American e-commerce giant Amazon and China's largest online merchants.
Amazon is the largest online marketplace operator in Germany. It also offers logistics services for online retailers and is one of the largest parcel carriers. Its position as an online marketplace ...operator gives Amazon the opportunity to combine its parcel and logistics services with advantages in its marketplace. Indeed, it may be able to leverage the market power it has in the online marketplace sector in the parcel and logistics markets. Recently, the European Commission requested a commitment from Amazon to prevent undue favouritism towards, among others, marketplace sellers that use Amazon's logistics and delivery services. It remains to be seen to what extent further interventions will be required. Amazon ist der grosste Onlinemarktplatzbetreiber in Deutschland. Zudem bietet es fur Onlinehandler Logistikdienstleistungen an und gehort zu den grossten Paketdienstleistern. Die Position als Onlinemarktplatzbetreiber bietet Amazon die Moglichkeit, seine Paket- und Logistikdienstleistungen mit Vorteilen auf seinem Marktplatz zu verknupfen. Es konnte in der Lage sein, eine moglicherweise im Bereich der Onlinemarktplatze bestehende Marktmacht in die Paket- und Logistikmarkte zu ubertragen. Die EU-Kommission hat jungst ein Verpflichtungsangebot von Amazon erwirkt, mit dem eine unangemessene Begunstigung unter anderem der Marktplatzverkaufer, die seine Logistik- und Lieferdienste nutzen, verhindert werden soll. Es bleibt abzuwarten, inwieweit zukunftig weitere Eingriffe notwendig sind.
Women and e-commerce in Central America Ueberschaer, Judith; Marti, Cristina Collado
International trade forum,
07/2019, Letnik:
2019, Številka:
2
Journal Article
This article has been retracted from publication in the Taylor & Francis journal, Acta Agriculturae Scandinavica, Section B - Soil & Plant Science.
Following publication, concerns were raised by ...multiple third-parties around the content of the special issue and the decision-making process.
Following an investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editor-in-Chief, it was confirmed that this article included in Special Issue titled "
Envisage Computer Modelling and Statistics for Agriculture", guest edited by Gunasekaran Manogaran was not peer-reviewed appropriately, in line with the Journal's peer review standards and policy.
As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special Issue.
The journal has not confirmed if the authors were aware of this compromised peer review process.
The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision.
We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines.
In order to better understand the relationship between data analysis and cross-border selection, and apply the practical application skills of cross-border selection better. The author sorted out ...several commonly used analysis tools, analysis the steps and the methods of cross-border e-commerce. This paper mainly introduces the role of cross-border e-commerce product selection and the application of data analysis in cross-border e-commerce product selection. At the same time, this paper also analyzed three techniques of data analysis in cross-border e-commerce product selection. Cross-border selection is the basis of cross-border e-commerce operation. In the process of scientific selection, it is necessary to judge the potential of products through data analysis. Correct selection can not only save time, the most important is to improve the efficiency and effect of product operation.
There is still a saying circulating in the cross-border e-commerce industry: seventy percent depend on the selection of products, thirty percent depend on operation.
As an important part of the professional courses in China, cross-border e-commerce plays an important role in improving students’ professional ability. The OBE concept is effectively used for ...cross-border e-commerce course teaching. The evaluation and assessment system helps to improve the shortcomings of the current teaching and improve the learning effect of students. At present, cross-border e-commerce major in our country universities in the process of course teaching has paid attention to the OBE concept effectively used in it, through analysis from multiple dimensions and check the students ‘learning results, the teaching objectives, teaching implementation and teaching guarantee, and other links to cover, can provide dynamic support for students’ learning results. Based on this, this study will analyze the construction of the cross-border E-commerce teaching evaluation and assessment system under the OBE concept from the perspective of the OBE concept, so as to help improve the existing teaching deficiencies, so as to establish a diversified teaching evaluation and teaching assessment system.
Aiming at the prediction problem of fresh e-commerce industry, this paper attempts to combine the metabolic theory with the improved GM (1,1) power model. The article introduces the traditional GM ...(1,1) power model to enhance the adaptability of the model to the data series, and at the same time, a new parameter is introduced when constructing the background value, the background value is represented as a linear function of adjacent sequence points, and the form and solution method of the two specific models are given, with the goal of minimizing the average relative error, and the power exponential and new parameters are co-optimized by genetic algorithm. The optimal modeling dimension is determined through model testing, and on this basis, the metabolic GM (1,1,t
h
,p) power model is established, and the model is applied to the prediction of the transaction scale of the fresh e-commerce industry. The results show that the improved GM (1,1) power model can significantly improve the fitting accuracy compared with the original model, and the metabolic GM(1,1,t
h
,p) power model has good performance in the prediction problem of fresh e-commerce.
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