E-commerce, driven by computer and internet technology, has experienced a significant growth in almost all fields during the past two decades. E-commerce has significantly changed the rules of business. Numerous resea...E-commerce, driven by computer and internet technology, has experienced a significant growth in almost all fields during the past two decades. E-commerce has significantly changed the rules of business. Numerous research institutions and enterprises have made e-commerce more intelligent and convenient. Here, we propose a novel prototype of next-generation e-commerce platform with an architecture framework and theoretical models.Each subject, including the individual, enterprise, and administrative department, has his/her personalized portal to complete the subject information synchronization, supply release, demand satisfaction, and social contact. By using the personalized portal, instead of the traditional trading platform, the consumers and suppliers can complete intelligent matching transactions without intermediate traders. Moreover, the overall transaction process can be reviewed, making the transaction safer, more transparent, and more interesting. Moreover, the interconnected personalized portals solve the isolated islands of information, and the counterparts support parallel processing.Thus, this may improve the operating efficiency of the entire society.展开更多
E-commerce has grown extraordinarily since the emergence of the internet, and many types of services are employed to accelerate this process. Service quality and productivity are two critical indicators to evaluate th...E-commerce has grown extraordinarily since the emergence of the internet, and many types of services are employed to accelerate this process. Service quality and productivity are two critical indicators to evaluate the competitiveness of e-commerce companies. Deciding which provision mode of e-commerce services (buy, sell, or self-provide) to adopt is a key operational strategy issue. This paper investigates the conditions and limitations of e-commerce services' optimal supply modes, and proposes a cost oriented infra-marginal model where service demand is considered an exogenous variable due to its non-elastic and unprofitable characteristics. By analyzing the main impact factors of this model, this paper infers provision mode selection strategies, which are determined by four factors: transaction cost, service price, service demand, and competitive advantages. Decision trees are derived from these strategies to help e-commerce companies make appropriate decisions. Finally, the proposed model's feasibility is verified by two case studies.展开更多
E-commerce has dramatically reduced the limitation of space and time on economic activities,resulting in individuals having access to a huge number of consumers.In this paper,we propose a company's optimal size de...E-commerce has dramatically reduced the limitation of space and time on economic activities,resulting in individuals having access to a huge number of consumers.In this paper,we propose a company's optimal size decision model containing management costs as a means of investigating the evolution of the company size in e-commerce.Given that production decisions are made based on accessible market capacity,we explain how a company enters the market,and we draw an evolutionary path of the optimal company size.The results show that in the early expansion stage of accessible market capacity,a firm's optimal size keeps increasing;after reaching a peak,the change in a firm's optimal size depends on its cost management.When the accessible market capacity reaches a threshold,the firm will no longer be in the market,and may no longer exist.Finally,we construct a simulation framework based on complex adaptive systems to validate our proposed model.A simulation experiment confirms our model and reveals the dynamic co-evolution process of individual producers and firms.展开更多
基金supported by the National Key Research and Development Plan of China:Research on Fundamental Theories and Methods of Crowd Science(No.2017YFB1400100)
文摘E-commerce, driven by computer and internet technology, has experienced a significant growth in almost all fields during the past two decades. E-commerce has significantly changed the rules of business. Numerous research institutions and enterprises have made e-commerce more intelligent and convenient. Here, we propose a novel prototype of next-generation e-commerce platform with an architecture framework and theoretical models.Each subject, including the individual, enterprise, and administrative department, has his/her personalized portal to complete the subject information synchronization, supply release, demand satisfaction, and social contact. By using the personalized portal, instead of the traditional trading platform, the consumers and suppliers can complete intelligent matching transactions without intermediate traders. Moreover, the overall transaction process can be reviewed, making the transaction safer, more transparent, and more interesting. Moreover, the interconnected personalized portals solve the isolated islands of information, and the counterparts support parallel processing.Thus, this may improve the operating efficiency of the entire society.
基金supported by the National Key Technology Research and Development Program (No. 2012BAH12F01)
文摘E-commerce has grown extraordinarily since the emergence of the internet, and many types of services are employed to accelerate this process. Service quality and productivity are two critical indicators to evaluate the competitiveness of e-commerce companies. Deciding which provision mode of e-commerce services (buy, sell, or self-provide) to adopt is a key operational strategy issue. This paper investigates the conditions and limitations of e-commerce services' optimal supply modes, and proposes a cost oriented infra-marginal model where service demand is considered an exogenous variable due to its non-elastic and unprofitable characteristics. By analyzing the main impact factors of this model, this paper infers provision mode selection strategies, which are determined by four factors: transaction cost, service price, service demand, and competitive advantages. Decision trees are derived from these strategies to help e-commerce companies make appropriate decisions. Finally, the proposed model's feasibility is verified by two case studies.
基金supported by the National Key Research&Development Program of China(No.2017YFB1400104)。
文摘E-commerce has dramatically reduced the limitation of space and time on economic activities,resulting in individuals having access to a huge number of consumers.In this paper,we propose a company's optimal size decision model containing management costs as a means of investigating the evolution of the company size in e-commerce.Given that production decisions are made based on accessible market capacity,we explain how a company enters the market,and we draw an evolutionary path of the optimal company size.The results show that in the early expansion stage of accessible market capacity,a firm's optimal size keeps increasing;after reaching a peak,the change in a firm's optimal size depends on its cost management.When the accessible market capacity reaches a threshold,the firm will no longer be in the market,and may no longer exist.Finally,we construct a simulation framework based on complex adaptive systems to validate our proposed model.A simulation experiment confirms our model and reveals the dynamic co-evolution process of individual producers and firms.