Research on Key Success Factors of Logistics Enterprises Digital Transformation Based on Interpretative Structural Model

This paper is to clarify the key success factors of logistics enterprises digital transformation, and the relationship between them. Key success factors are extracted through literature review, expert interviews and membership evaluation methods, and a hierarchical model of factors is constructed by using the interpretative structural modeling method to obtain the hierarchical relationship of factors and further analyse the digital transformation strategy of logistics enterprises. This paper provides new ideas for logistics enterprises to break through the bottleneck and accelerate digital transformation

Research on the Influencing Factors of Enterprise Wechat Official Accounts Marketing Effectiveness

Based on the Stimulus-Organism-Response (SOR) model, we extract the influencing factors of user information behavior in the enterprise Wechat Official Account marketing, and construct the influencing factor model by using user sentiment and user trust as mediator variables. The theoretical test is carried out through questionnaires and data analysis. Result shows that information entertainment and title novelty positively affect user sentiment, while user sentiment and user trust positively affect information concern behavior. Therefore, to carry out Wechat Official Account marketing, information title should be highlighted and information content should be interesting and novel

Prediction of Freight Volume Based on Grey Correlation and Improved Grey Neural Network

此处通过灰色关联分析确定影响货运量的关键因素，将这些关键因素作为灰色神经网络模型的输入，并通过遗传算法提高灰色神经网络的权重和阈值，从而避免了模型的失误。重叠局部最优。各种不同模型的预测结果表明，基于遗传算法优化的灰色神经网络具有较高的预测精度，证明了该模型合理可靠，可为货运量预测提供参考

Research on Location of Electric Vehicle Charging Station Based on Voronoi Diagram and Improved Particle Swarm Algorithm

In order to reduce the blindness of charging station construction and improve the overall satisfaction of charging station construction and operation enterprises and electric vehicle users, this paper researches the location of electric vehicle charging station. First, the number of electric vehicles in the future is predicted by the grey model. The electric vehicle charging demand is calculated based on the road network, traffic flow and user charging behavior characteristics. Then the charging station service range is quickly divided by the Voronoi diagram. And a mathematical model is established based on the minimum total social cost. Finally, Improved particle swarm optimization algorithm and Voronoi graph are combined to solve the problem. The results of the example show that the algorithm can efficiently and accurately obtain the site selection scheme with the minimum social total cost, which is of great significance to urban development planning

A Bibliometric Review of Research Trends in Social CRM

Social customer relationship management (social CRM) is a relatively new domain, numerous studies have begun to emerge along the border between CRM and social media. This study uses the method of bibliometrics to sort out and analyze the development of social CRM study, and conducts statistical analysis and co-citation network of the literature sample. There has been a significant growth in the social CRM literature with America, China and England being the main contributors. The newest social CRM hotspots focus on the value creation and technical approach of social CRM. The research ideas and conclusions of this paper are of some enlightenment to the academic research and practical application of social CRM

Research on Key Success Factors Model for Innovation Application of Internet of Things with Grounded Theory

With Internet of Things (IOT) theory, the essence of innovation theory and grounded theory, we collect and analyze the implementation information and data from 3 related IOT company. Then we identify 40 key success factors and establish key success factors model for innovation application of IOT in the view of technology, market and implementation. The purpose is to improve the success rate of IOT application implementation

The Evaluation on Home Improvement Website’s Efficiency Based on SBM-DEA

We built the efficiency evaluation index system of home improvement website’s inputs and outputs. The SBM - DEA model is applied to evaluate the efficiency of 30 home improvement websites and the stability of relatively effective websites. Finally, we put forward some specific website optimization suggestions with the results. The purposes of this paper are to study the efficiency of home improvement websites and provide webmasters with optimization suggestions under limited input resources

Research on Cognitive Pattern of the Concept of Smart City with Crawler Technology

Smart city is a new form of information city and digital city and a new type of innovative means of planning and management of city, its theoretical research and construction practice have entered a period of rapid development. In-depth understanding of concept related to smart city will contribute to avoid the one-sidedness and blindness of smart city construction. This paper collects and analyzes social media data by means of network crawler technology. Then, we build the cognitive model of the concept of smart city by using e-commerce portrait technology, and discusses definition and information label of smart city. Finally, the technology-based smart city and the sustainable smart city are compared and analyzed by using the cognitive model of the concept of smart city. The purpose is to provide revelation for the future development of smart city

Research on Incubation Performance Influence Factors of China Information Technology Business Incubators with Grounded Theory

Five selected China IT business incubators are studied with grounded theory, after coding the interview data, we establish the model of influence factors that affect IT business incubator’s incubation performance with dimensions of the external factor, the internal factor and the associated factor. The external factors that affect the incubation performance are institution and industry environment, the internal factors are network operation ability, capability of incubating service and organization system protection, the associated factor is entrepreneurship of incubated enterprises

Research on Core Essential Elements for O2O Business Model with ANP

The O2O is a fast-growing emerging business model, the O2O business model framework is established and the most basic 7 major elements are identified in our research with Value Net theory as follow: customer, telecom operator, content provider, service provider, software provider, third-party payment platform and offline business entity. Then, we apply the Delphi method to identify 8 secondary elements and 22 three-level elements of O2O business model, and the O2O business model core essential elements evaluation model is also established. We analyze the model systematically and find out 10 core elements with Analytic Network Process (ANP) as follow: network speed and stability, mining the customer subject requirements, customer insight, control the trading risk, the core technology research and development, the life service payment platform, after payment platform, financial services platform development, the detonation of the fulfilled requirements and direct correlation between the maintenance of the enterprise. The 10 elements mainly concentrated in 4 dimensions as follow: customer, telecom operators, software providers and third-party payment platform. We hope that our research can provide enlightenment to O2O enterprise\u27s development and the future trend analysis, and be helpful for all participants of Value Net achieve win-win symbiosis