Research On Supply Chain Interaction Value-added:Insight From Value Co-creation

The fundamental content of enterprise competition lies in the competition of supply chain.From the expressive knowledge view,the generation and source of supply chain competitive advantage depend on the efficiency and benefit of supply chain operation.Its essence lies in the value creation of supply chain system.The supply chain and the difference of the competitive advantage between supply chains mainly depends on the difference of the value creation of supply chain system.The traditional value creation logic is confined to the single subject of the enterprise.However,the cognitive process of the current supply chain value creation subject is gradually evolving from single subject to double subject,and from the main body of the chain to the inside and outside of the chain.Realising value maximisation of supply chains is not only the ultimate goal pursued by supply chain management but also a source for enterprises to obtain sustainable competitive advantages.In practice process of supply chains,value creation subjects form initial quantity of supply chain value through internal value-adding activity,based on which realising value-adding through interactive behaviours between subjects is the key to ensuring maximisation of supply chain value.Hence,how to design effective inter-subject value-adding strategy so as to elevate value-adding level of supply chains becomes one of important problems faced by enterprises.Therefore,based on the generalized value co-creation perspective,this paperfocuses on the interactive value-added problem of supply chain,mainly about four aspects:the system analysis,the optimization model research,process and capability measurement,the causal mechanism research and so on.The main work is as follows:(a)An interactive value-added system of supply chain is built,and qualitative analysis is put into.Firstly,the evolution relation between the concepts of supply chain value creation system and supply chain interactive value-added system was defined.After that,on the basis of clarifying the composition of the main structure of the supply chain interactive value-added system,its relationship,motivation,target and system output,the composition of the sub-system was analyzed.(b)In order to explore the impact of interaction on the appreciation of supply chain,a quantitative description of the supply chain interactive value-added system by the mathematical models is obtained.Firstly,the interaction was expressed as the parameter,and the unconstrained optimization model of supply chain interaction was constructed under stochastic demand.Then,considering the uncertainty of the interaction information between the entities,the interval parameter was introduced.The uncertain nonlinear programming model was constructed to describe the above problems quantitatively and the discrete PSO algorithm was designed to solve the problem.The robust optimization model was established for the sake of the instability of the solution,and then got the solution with high stability,revealing the influence of the interaction uncertainty on the value of the supply chain.(c)Based on the deep analysis of the process of supply chain interactive value-added system,the interactive value-added behavior network of supply chain was established.This paper constructed the index system of supply chain interactive value-added capability,in order to realize the quantitative analysis of the factors affecting the value-added of supply chain interaction.The determination model of supply chain interactive value-added ability was put forward on the basis.(d)The causal mechanism of supply chain interaction value-added by means of the machine learning methods is explored.Firstly,the LS-SVM algorithm was optimized to construct the data-driven model,which can be used to quantitatively describe the"input-output" relationship between the influencing factors of the supply chain interactive value-added system and the system value.Furthermore,the optimized RF algorithm was given,and the characteristic influencing factors of the "black box" was explored using the OOB estimation method.The innovation points of this paper mainly lie in:(a)Based on the value creation thinking under the generalized logic,the supply chain interactive value-added system was constructed.The mathematical model was used to describe the supply chain interactive value-added system.The discrete PSO algorithm and the robust optimization method were applied to solve the problem,revealing the impact of interaction on value-added supply chain.The paper put forward the framework of "double subject +" interactive value-added theory,which is based on the main creation on the main chain and the auxiliary creation outside the chain.(b)The value-added process of supply chain was explored from the four aspects,including the internal interactions within the enterprise alliance,the interaction between enterprise alliance and consumer group,the internal interaction within consumer groups and other relevant parties involved in interaction.This paper constructed the index system of interactive value-added capability of supply chain using the concluded influencing factors of value,and measured the interactive value-added ability of supply chain.(c)The LS-SVM and ORF algorithms were designed and optimized using the method of machine learning to quantitatively describe the "input-output" relationship of the causal mechanism "black box",then identify and reveal the characteristics of the key function of the "black box".These two aspects completely revealed the causal mechanism of supply chain interaction.Based on the perspective of generalized value co-creation,this paper set up the new logic of "double subject +" value creation,which is based on the main creation on the main chain and the auxiliary creation outside the chain.It also put forward the theory framework of interactive value-added supply chain,systematically investigation of the supply chain interaction value-added mechanism,and the new source of accurate supply chain competitive advantage.It is of great theoretical significance to deepen the understanding of the main body in the supply chain,improve the supply chain value creation theory and promote the development of supply chain management.Through the analysis of supply chain interactive value-added system analysis,optimization model construction,process analysis and causal mechanism study,it is necessary to deeply grasp the mechanism of value-added interaction and its influencing factors.And they also have important practical guidance for formulating the market priority adjustment strategy,driving the maximization of supply chain value and achieving the sustainable development of supply chain.