Research On The Influencing Factors And Models Of Value Co-creation In The Supply Chain Of Library Collection Resources For Library Distributors Based On Data Ecology

In the context of data ecology,the utilization of data resources and information technology brings more efficient services to various industries.Taking the supply chain service of museum distribution,merchants and museum distribution as an example,it builds a digital platform,collects data resources such as publishing houses,and uses information technology to mine and analyze The historical data of library bibliographic orders provides libraries with high-quality resources and solves the problems encountered in the procurement process of collection resources.A for-profit enterprise for library distribution that focuses on value co-creation.Facing the impact of the new crown epidemic,library distributors need to create new service models to meet the needs of library supply chain services,and to use data resources to provide libraries with resource service positioning,for the Provide customers with a convenient resource information query platform.The supply chain service process is faced with the surge of data resources,resulting in data redundancy,information pollution and other problems,which requires the staff of the library distribution company to have more efficient data mining and analysis capabilities.The good and the bad are mixed,which is not conducive to the resource supply of library distributors,library knowledge services and the acquisition of readers’ knowledge resources.Library distributors are for-profit enterprises,and the goal of management and operation is to maximize profits and social value;library distributors are the guides of value co-creation in the supply chain of collection resources,and actively guide users to join the service chain,which is to realize value co-creation starting point.What are the main influencing factors of the co-creation of the value of the supply chain of the collection resources of the library distributors? How do the factors interact with each other and how do they work together to create value? These issues need to be deeply considered for the optimization of collection resource supply chain services.This paper takes the data ecology as the environmental background,and based on the grounded theory,the researcher conducts in-depth interviews with the main participants in the supply chain of collection resources,codes the original interview data to obtain the basic factor framework,and uses the DEMATEL method to identify key elements after saturation testing and expert scoring.Further construct the model of influencing factors and action paths of the value co-creation of the supply chain of collection resources.Finally,according to the influencing factors and the value co-creation process,the realization mode of the value co-creation of the collection resource supply chain is constructed based on the data environment.This study shows that based on the theoretical perspective of value co-creation,the concept of co-creation and platform construction can be regarded as the key factors in the value co-creation of the supply chain of collection resources,and resource integration,subject interaction,and reader demand can be regarded as the co-creation of the value of the supply chain of collection resources.The driving factors,personnel quality and library environment are regarded as the direct influencing factors of the value co-creation of the collection resources supply chain,and information technology and data application are regarded as the indirect influencing factors of the value co-creation of the collection resources supply chain.Shared supply chain platform,readers’ decision-making procurement,and library space services can effectively create value.In order to further enhance the value of library resources supply chain value co-creation effect,this paper changes the concept of knowledge service,carries out readers’ decision-making and procurement,and optimizes library space.Countermeasures are put forward in terms of service functions and focusing on the utility of data mining technology.