Research on Operating Mechanism of Collaborative Commerce Based on Business Intelligence System ——An Analysis of the Application of Business Intelligence in Retail Enterprises

As a new management idea generated in the electronic commerce environment, collaborative commerce extend the range of business administration from a single enterprise to business partners. Business intelligence helps enterprises integrate data efficiently, and then turn the data into valuable information for enterprises, thus making the enterprise acquire knowledge and improve the ability of enterprise management and decision-making. The collaborative mechanism based on the business intelligence system makes the generation of information more intelligent and initiative. This paper identifies the operating mechanism of collaborative commerce based on business intelligence system, and we explore the application of business intelligence system in the retail industry

Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the base of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution route with and without carbon emissions cost are constructed, and fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, the path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit

Paul Auster And August Brill's Solitary Rooms : The Spatiality of Solitude

For Paul Auster, a room is in essence “the substance of solitude itself”, a spatially defined solitude. In this respect, the phenomenon has transcended its physical limitations and assumed existential and philosophical significance. In his writings, a room is first and foremost an architectural space that a solitary writer occupies; besides, it is metaphorized as the mind that is the room—an intellectually constructed space; and lastly, it is a place narrated in his stories where his characters meditate and compose, a space that exists in words. This paper conducts studies on both Auster’s life writings and one of his fictions, Man in the Dark, in the hope of presenting the complexity of the three forms of solitary rooms and their mutual inclusion in intersubjective solitude.For Paul Auster, a room is in essence “the substance of solitude itself”, a spatially defined solitude. In this respect, the phenomenon has transcended its physical limitations and assumed existential and philosophical significance. In his writings, a room is first and foremost an architectural space that a solitary writer occupies. Besides, it is metaphorized as the mind that is the room – an intellectually constructed space; and lastly, it is a place narrated in his stories where his characters meditate and compose, a space that exists in words. This paper studies Auster’s life writings and one of his fictions, Man in the Dark, to present the complexity of the three forms of solitary rooms and their mutual inclusion in intersubjective solitude

Automated scholarly paper review: Technologies and challenges

Peer review is a widely accepted mechanism for research evaluation, playing a pivotal role in scholarly publishing. However, criticisms have long been leveled on this mechanism, mostly because of its inefficiency and subjectivity. Recent years have seen the application of artificial intelligence (AI) in assisting the peer review process. Nonetheless, with the involvement of humans, such limitations remain inevitable. In this review paper, we propose the concept and pipeline of automated scholarly paper review (ASPR) and review the relevant literature and technologies of achieving a full-scale computerized review process. On the basis of the review and discussion, we conclude that there is already corresponding research and implementation at each stage of ASPR. We further look into the challenges in ASPR with the existing technologies. The major difficulties lie in imperfect document parsing and representation, inadequate data, defective human-computer interaction and flawed deep logical reasoning. Moreover, we discuss the possible moral & ethical issues and point out the future directions of ASPR. In the foreseeable future, ASPR and peer review will coexist in a reinforcing manner before ASPR is able to fully undertake the reviewing workload from humans

MOPRD: A multidisciplinary open peer review dataset

Open peer review is a growing trend in academic publications. Public access to peer review data can benefit both the academic and publishing communities. It also serves as a great support to studies on review comment generation and further to the realization of automated scholarly paper review. However, most of the existing peer review datasets do not provide data that cover the whole peer review process. Apart from this, their data are not diversified enough as they are mainly collected from the field of computer science. These two drawbacks of the currently available peer review datasets need to be addressed to unlock more opportunities for related studies. In response to this problem, we construct MOPRD, a multidisciplinary open peer review dataset. This dataset consists of paper metadata, multiple version manuscripts, review comments, meta-reviews, author's rebuttal letters, and editorial decisions. Moreover, we design a modular guided review comment generation method based on MOPRD. Experiments show that our method delivers better performance indicated by both automatic metrics and human evaluation. We also explore other potential applications of MOPRD, including meta-review generation, editorial decision prediction, author rebuttal generation, and scientometric analysis. MOPRD is a strong endorsement for further studies in peer review-related research and other applications