This paper proposes the assumption of e-commerce platform of the agricultural products based on the F2C2B mode. The wholee-commerce model is guided by the idea of the supply chain management from the perspective of t...
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This paper proposes the assumption of e-commerce platform of the agricultural products based on the F2C2B mode. The whole e-commerce model is guided by the idea of the supply chain management from the perspective of the modern system, and the e-commerce integration model from customer to supplier is implemented, and the whole is optimized. e-commerce to cloud computing as the basic environment, the construction of public cloud services and private cloud resources, based on public cloud to the SaaS way to provide services to customers, focus on business search and business collaboration, make full use of the lnternet, modern communications technology to provide the real- service. The development of agricultural economy, no longer depends only on the number of some traditional agricultural resources, but also depends on the modern technology, information access and use. Through the development of basic network technology, by virtue of some modern electronic information technology and some other means that can improve the intelligence of agricultural use of the information resources, the proposed model provides the new methodology of the solution.
O2O namely Online To Offline,it is a line from online to down,and combine online resources with real economy,therefore allowing the network to become the real economy to an e-commerce model extends to the virtual worl...
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O2O namely Online To Offline,it is a line from online to down,and combine online resources with real economy,therefore allowing the network to become the real economy to an e-commerce model extends to the virtual world of the "front",different from the B2B-(Business To Business) and B2C (Business to Customer) to become a very popular business *** the basis of the principle of relational database logical structure design as well as different forms of the external interface of e-commerce platform in the O2O mode,explore the site structure of the the O2O business model for life service e-commerce platform is designed to provide a good design ideas.
This paper introduces a theoretical model designed to examine how the presence of manufacturing enterprises on e-commerce platforms impacts their *** paper empirically examines the influence and internal mechanism of ...
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This paper introduces a theoretical model designed to examine how the presence of manufacturing enterprises on e-commerce platforms impacts their *** paper empirically examines the influence and internal mechanism of manufacturing enterprises'engagement in e-commerce platforms on their innovation,utilizing extremely detailed micro-level enterprise data from the *** e-commerce platform and the China Patent Database for the period from 2002 to *** main results are:(1)Manufacturing enterprises that use e-commerce platforms are much more likely to come up with new ideas;these results are still statistically significant even after using different robustness tests,such as propensity score matching and instrumental variable-based endogeneity treatment.(2)In terms of the influence mechanism,the presence of manufacturing enterprises on e-commerce platforms primarily stimulates their innovation by expanding the market size and facilitating knowledge spillover.(3)Furthermore,an extended analysis based on the innovation network reveals that participation in e-commerce platforms also significantly improves the patent centrality and the number of star patents for manufacturing ***,this paper provides valuable insights for exploring the innovation-driven pathways for the deep integration of the digital economy and the real economy.
With the continuous development of artificial intelligence technology,its application field has gradually *** further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intell...
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With the continuous development of artificial intelligence technology,its application field has gradually *** further apply the deep reinforcement learning technology to the field of dynamic pricing,we build an intelligent dynamic pricing system,introduce the reinforcement learning technology related to dynamic pricing,and introduce existing research on the number of suppliers(single supplier and multiple suppliers),environmental models,and selection algorithms.A two-period dynamic pricing game model is designed to assess the optimal pricing strategy for e-commerce platforms under two market conditions and two consumer participation *** first step is to analyze the pricing strategies of e-commerce platforms in mature markets,analyze the optimal pricing and profits of various enterprises under different strategy combinations,compare different market equilibriums and solve the Nash ***,assuming that all consumers are naive in the market,the pricing strategy of the duopoly e-commerce platform in emerging markets is *** comparing and analyzing the optimal pricing and total profit of each enterprise under different strategy combinations,the subgame refined Nash equilibrium is ***,assuming that the market includes all experienced consumers,the pricing strategy of the duopoly e-commerce platform in emerging markets is analyzed.
Brand-building is inevitable for e-commerce platforms,based on theeconomic theory of heterogeneous perfect *** investing heterogeneous factors,such as innovativeentities into theplatforms,their basic business can a...
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Brand-building is inevitable for e-commerce platforms,based on the economic theory of heterogeneous perfect *** investing heterogeneous factors,such as innovative entities into the platforms,their basic business can achieve a natural monopoly in the market,which constitutes a necessary condition for them to build their brands.e-commerce platforms have invalidated the traditional hypothesis of asset specificity,and its value-added business targets brand-building by selling products of multiple varieties and in small batches.
This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the...
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This research introduces a novel approach to improve and optimize the predictive capacity of consumer purchase behaviors on e-commerce platforms. This study presented an introduction to the fundamental concepts of the logistic regression algorithm. In addition, it analyzed user data obtained from an e-commerce platform. The original data were preprocessed, and a consumer purchase prediction model was developed for the e-commerce platform using the logistic regression method. The comparison study used the classic random forest approach, further enhanced by including the K-fold cross-validation method. evaluation of the accuracy of the model’s classification was conducted using performance indicators that included the accuracy rate, the precision rate, the recall rate, and the F1 score. A visual examination determined the significance of the findings. The findings suggest that employing the logistic regression algorithm to forecast customer purchase behaviors on e-commerce platforms can improve the efficacy of the approach and yield more accurate predictions. This study serves as a valuable resource for improving the precision of forecasting customers’ purchase behaviors on e-commerce platforms. It has significant practical implications for optimizing the operational efficiency of e-commerce platforms.
While coupons that can be redeemed only in online channels have been issued by e-commerce platforms for decades, a new type of platform’s coupons, i.e., omnichannel coupons, which can be redeemed in both online and s...
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While coupons that can be redeemed only in online channels have been issued by e-commerce platforms for decades, a new type of platform’s coupons, i.e., omnichannel coupons, which can be redeemed in both online and store channels, is gaining popularity with the rise of the omnichannel retail mode. It is interesting to explore the conditions under which omnichannel coupons are more advantageous to platforms and multichannel suppliers that sell products through platforms and physical stores. Two game models are developed in two cases where an e-commerce platform offers single channel coupons or omnichannel coupons for a multichannel supplier. Two scenarios are considered: one in which a consumer’s valuation of a product that fits his or her need is homogeneous and another in which the valuation is heterogeneous. equilibrium outcomes show that under the homogeneous scenario, the product price and coupon face value in both coupon modes increase with the product’s fit probability when the cross-selling revenue is high, while decrease with the product’s fit probability when the cross-selling revenue is low. However, under the heterogeneous scenario, the price in both modes increases with the product’s fit probability only when the supplier’s loss from returns is low and the cross-selling revenue is high, and the coupon face value always decreases with the product’s fit probability. Compared with single channel coupons, omnichannel coupons may lead to a higher product price under certain conditions. Furthermore, omnichannel coupons can lead to higher total demand and benefit both the platform and the supplier if and only if the product’s fit probability is low and the supplier’s loss from returns is high. An extension shows that the platform’s preference for omnichannel coupons is weakened when the supplier offers a partial refund policy.
This purpose of this article is to provide an overview of the research situation and the development model of thee-commerce finance. This article takes the cross-border cooperation in finance between banks and e-comm...
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This purpose of this article is to provide an overview of the research situation and the development model of the e-commerce finance. This article takes the cross-border cooperation in finance between banks and e-commerce companies. This paper introduces three development models of e-commerce finance. Banks set up their own e-commerce platform. The banks take advantage of e-commerce platform. The e-commerce companies run financial business. The theoretical findings reported in this paper pave the way for embarking on the promising and relevant future research.
Taking thee-commerce platform’s fairness concern into account,three decision-making models of e-commerce closed-loop supply chain are ***,the recycling decisions under three models are studied and the impact of fair...
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Taking the e-commerce platform’s fairness concern into account,three decision-making models of e-commerce closed-loop supply chain are ***,the recycling decisions under three models are studied and the impact of fairness concern is ***‘effort costs sharing contract’is proposed to realise the coordination of the supply ***,the conclusions are verified by numerical *** results show that the e-commerce platform’s fairness concern reduces own profit and the remanufacturer’s profit,and decreases system ***‘effort costs sharing contract’can realise the centralised model where recycling price of waste products is the highest,commission is the lowest,and system profit is the *** the coordinated system,the higher the proportion of remanufacturer sharing effort costs,the higher the profit of remanufacturer.
In order to make full use of the characteristics of commodity prices,merchants on e-commerce platforms have adopted the low-price marketing *** promotional discounts can bring new vitality to the commodity sales marke...
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In order to make full use of the characteristics of commodity prices,merchants on e-commerce platforms have adopted the low-price marketing *** promotional discounts can bring new vitality to the commodity sales market,but extreme discount marketing methods would lead to serious impacts on the sales of competing products,thus affecting the stable development of the online shopping *** sales data of four electrical products using the false low-price marketing strategy on three e-commerce platforms(Taobao,JD,and Amazon)were used in this *** sales data from different e-commerce platforms and different time periods were analyzed,and one-way ANOVA was used on the factors affecting the effect of marketing *** results showed that there is a significant difference between the direct marketing of high-priced products and low-priced products on Taobao;the difference between the marketing effects of high-priced products and mid-priced products on JD and Amazon is *** analysis would help businesses formulate reasonable marketing strategies and promote the stable development of the online shopping market.
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