期刊：
STATISTICS AND ITS INTERFACE,2017年10(1):119-130 ISSN：1938-7989
通讯作者：
Xiao, Yi
作者机构：
[Xiao, Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.;[Xu, Lixiang; Xiao, Jin] Univ Munster, Dept Math & Comp Sci, D-48149 Munster, Germany.;[Hu, Yi] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China.;[Xiao, Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Xu, Lixiang] Hefei Univ, Dept Mathmat & Phys, Hefei 230601, Peoples R China.
通讯机构：
[Xiao, Yi] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
关键词：
Analog complexing;Crude oil price forecasting;Genetic algorithm;Hybrid transfer learning model;Transfer learning technique
摘要：
Most of the existing models for oil price forecasting only use the data in the forecasted time series. This study proposes a hybrid transfer learning model (HTLM) for crude oil price forecasting. We first selectively transfer some related time series in the source domain to assist in modeling the target time series by using a transfer learning technique, and then construct the forecasting model using the analog complexing (AC) method. Further, we introduce a genetic algorithm to find the optimal match between two important parameters in HTLM. Finally, we use two main crude oil price time series the West Texas Intermediate (WTI) and the Brent crude oil spot prices for empirical analysis. Our results show the effectiveness and superiority of the proposed model compared with existing models.
期刊：
Industrial Management & Data Systems,2017年117(10):2364-2380 ISSN：0263-5577
通讯作者：
Zhao, Jing
作者机构：
[Wang, Fei; Li, Yajing; Zhao, Jing] China Univ Geosci, Res Ctr Digital Business Management, Sch Econ Management, Wuhan, Hubei, Peoples R China.;[Chi, Maomao] Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.
通讯机构：
[Zhao, Jing] C;China Univ Geosci, Res Ctr Digital Business Management, Sch Econ Management, Wuhan, Hubei, Peoples R China.
期刊：
Emerging Markets Finance and Trade,2017年53(9):2039-2051 ISSN：1540-496X
通讯作者：
Guo, Dongmei
作者机构：
[Zhang, Xi] Hunan First Normal Univ, Business Sch, Changsha, Hunan, Peoples R China.;[Zhang, Xi] Chinese Acad Sci, Inst Policy & Management, Beijing, Peoples R China.;[Guo, Dongmei] Cent Univ Finance & Econ, Sch Econ, Beijing 100081, Peoples R China.;[Xiao, Yi] Cent China Normal Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China.;[Wang, Mingxi] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing, Peoples R China.
摘要：
Purpose - The purpose of this paper is to propose a novel within-document analysis tool (DAT) topic hierarchy and context-based document analysis tool (THC-DAT) which enables users to interactively analyze any multi-topic document based on fine-grained and hierarchical topics automatically extracted from it. THC-DAT used hierarchical latent Dirichlet allocation method and took the context information into account so that it can reveal the relationships between latent topics and related texts in a document. Design/methodology/approach - The methodology is a case study. The authors reviewed the related literature first, then utilized a general "build and test" research model. After explaining the model, interface and functions of THC-DAT, a case study was presented using a scholarly paper that was analyzed with the tool. Findings - THC-DAT can organize and serve document topics and texts hierarchically and context based, which overcomes the drawbacks of traditional DATs. The navigation, browse, search and comparison functions of THC-DAT enable users to read, search and analyze multi-topic document efficiently and effectively. Practical implications - It can improve the document organization and services in digital libraries or e-readers, by helping users to interactively read, search and analyze documents efficiently and effectively, exploringly learn about unfamiliar topics with little cognitive burden, or deepen their understanding of a document. Originality/value - This paper designs a tool THC-DAT to analyze document in a THC way. It contributes to overcoming the coarse-analysis drawbacks of existing within-DATs.
关键词：
Chinese culture;Cultural differences;Knowledge construction;Social media;User support discussion forum
摘要：
Many IT companies like HP, Dell and Lenovo have established both English language and Chinese user support forums for their consumers to share and construct knowledge. The innovative knowledge generated in these virtual product user communities is valuable for companies enabling them to incorporate users’ innovative insights and problems solving skills. This research compares the knowledge construction processes within such forums in English and Chinese cultural contexts. The research adopts a method combining content analysis of discussion threads where technical problems are solved, complemented by observation and thematic analysis of interviews with forum members. The results show that the cultural and language differences do not cause a big change of users’ knowledge construction patterns. However, the character of Chinese language and culture can indirectly affect the process by including more social information to influence social interactions. The research suggests that more tailored facilitation strategies should be adopted in managing producer sponsored user support forums designed for different cultural regions.
期刊：
LIBRARY HI TECH,2016年34(4):685-704 ISSN：0737-8831
通讯作者：
Lu, Quan
作者机构：
[Wang, Dan; Chen, Jing] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Lu, Quan] Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China.;[Xu, Zeyuan] Univ Calif Los Angeles, Henry Samueli Sch Engn & Appl Sci, Los Angeles, CA USA.
作者机构：
[Xiao, Yi] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.;[Wang, Shouyang] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China.;[Liu, John J.] City Univ Hong Kong, Ctr Transport Trade & Financial Studies, Hong Kong, Hong Kong, Peoples R China.;[Xiao, Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.;[Hu, Yi] Univ Chinese Acad Sci, Sch Management, Beijing, Peoples R China.
通讯机构：
[Hu, Yi] U;Univ Chinese Acad Sci, Sch Management, Beijing, Peoples R China.
关键词：
port development and management;policies analysis;container throughput estimation
摘要：
With the rapid growth of seaborne commodity trades, port development and management has become a challenging issue to the government, enterprise and academia. To alleviate pressures on spatial demand and the environment, sustainable development and scientific management of a port is of crucial importance for its investment, construction and operation. In this article, a research path based on throughput estimation is proposed. The container port of Tianjin could expect to face immense, increasing pressure in the future several years. To meet future increasing capacity requirement, constructing new waterway and berths in a bigger contiguous area or new locations becomes a crucial strategy. Moreover, the strategy of accommodating peak seasonal traffic means existing container terminals have to attain higher output by redesigning their high-precision schedule, reconfiguring terminal topology, improving worker efficiency and employing more modern container-handling facilities.
摘要：
This paper presents a closed-loop location-inventory-routing problem model considering both quality defect returns and nondefect returns in e-commerce supply chain system. The objective is to minimize the total cost produced in both forward and reverse logistics networks. We propose a combined optimization algorithm named hybrid ant colony optimization algorithm (HACO) to address this model that is an NP-hard problem. Our experimental results show that the proposed HACO is considerably efficient and effective in solving this model.
作者：
Xiao, Yi;Liu, Yang;Liu, John J.;Xiao, Jin;Hu, Yi*
期刊：
Transportmetrica A: Transport Science,2016年12(1):65-79 ISSN：2324-9935
通讯作者：
Hu, Yi
作者机构：
[Liu, Yang; Xiao, Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Liu, John J.] City Univ Hong Kong, Ctr Transport Trade & Financial Studies, Hong Kong, Hong Kong, Peoples R China.;[Xiao, Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.;[Hu, Yi] Univ Chinese Acad Sci, Sch Econ & Management, Wuhan 100190, Peoples R China.
通讯机构：
[Hu, Yi] U;Univ Chinese Acad Sci, Sch Econ & Management, Wuhan 100190, Peoples R China.
关键词：
passenger flow management;oscillations extracting;operation of airports;forecasting and decision-making
摘要：
Managing air passenger traffic flows is important in investing and operation of airports. However, it is extremely difficult for traditional methods to analyse passenger traffic in both the short and medium terms because of the oscillation and irregularity inherent in air passenger traffic flows dynamics. In this study, we design a hybrid oscillations analysis approach. The proposed method decomposes time series into different scales, making it useful in revealing structural breaks and volatility clusters, and identifying dynamic properties of a process at specific timescales. A case study of Hong Kong airport demonstrates and validates the feasibility of applying the proposed models. Empirical results have confirmed that the proposed model is superior to other competing models and can provide high flexibility in decision-making.
期刊：
European Journal of Operational Research,2016年250(2):521-530 ISSN：0377-2217
通讯作者：
Dong, Qingxing
作者机构：
[Dong, Qingxing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Cooper, Orrin] Univ Memphis, Fogelman Coll Business & Econ, Memphis, TN 38152 USA.
通讯机构：
[Dong, Qingxing] C;Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
关键词：
Consensus reaching;Group decision making;The Analytic Hierarchy Process (AHP);Weight determination
摘要：
Consensus reaching models are widely applied in group decision making problems to improve the group's consensus level before making a common decision. Within the context of the group Analytic Hierarchy Process (AHP), a novel consensus reaching model in a dynamic decision environment is proposed. A Markov chain method can be used to determine the decision makers' weights of importance for the aggregation process with respect to the group members' opinion transition probabilities. The proposed group consensus reaching model facilitates a peer to peer opinion exchange process which relieves the group of the need for a moderator by using an automatic feedback mechanism. Moreover, as the elements in the group decision framework change in a dynamic decision making problem, this model provides feedback suggestions that adaptively adjust for each of the decision makers depending on his credibility in each round. The full process of the dynamic adaptive consensus reaching model is presented and its properties are discussed. Finally, a numerical example is given to demonstrate the effectiveness of our model.
摘要：
In the current business environment, both managers and researchers have realized that assessing and managing risk in a supply chain operation is crucial to business success. Furthermore, the traditional assessment methodologies are unable to deal with intangible criteria which are crucial factor in the analysis. Thus, we develop an orders-of-magnitude AHP (OM-AHP) based ex-ante supply chain risk assessment model, to enable the comparison of the tangible and intangible elements that influence supply chain risks. In the application of OM-AHP method to risk assessment it also became apparent a formal guiding structure of how to pivot using OM-AHP did not exist. A formal method is proposed that can significantly reduce the number of needed comparisons and improve the consistency with pairwise comparisons matrices under any AHP decision. The process of the proposed supply chain risk assessment framework consists of three phases: risk identification, risk assessment, and risk ranking and analysis. An illustrative example is provided to demonstrate the efficacy of the proposed risk assessment framework. The results are organized in a 2-way risk matrix based on their probability and consequence severity and tested for robustness via sensitivity analysis.(C) 2016 Elsevier B.V. All rights reserved.
作者：
Zhang, Jin*;Zhai, Shanshan*;Liu, Hongxia*;Stevenson, Jennifer Ann*
期刊：
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY,2016年67(5):1068-1088 ISSN：2330-1635
通讯作者：
Zhang, Jin;Stevenson, Jennifer Ann;Zhai, Shanshan;Liu, Hongxia
作者机构：
[Zhang, Jin; Zhang, J; Stevenson, Jennifer Ann] Univ Wisconsin, Sch Informat Studies, 2025 E Newport Ave, Milwaukee, WI 53211 USA.;[Zhai, Shanshan] Cent China Normal Univ, Sch Informat Management, 152 Luoyu St, Wuhan 430079, Hu Bei Province, Peoples R China.;[Liu, Hongxia] Ren Min Univ China, Sch Informat Resource Management, 59 Zhongguancun St, Beijing 100872, Peoples R China.
通讯机构：
[Zhang, J; Stevenson, JA] U;[Zhai, Shanshan] C;[Liu, Hongxia] R;Univ Wisconsin, Sch Informat Studies, 2025 E Newport Ave, Milwaukee, WI 53211 USA.;Cent China Normal Univ, Sch Informat Management, 152 Luoyu St, Wuhan 430079, Hu Bei Province, Peoples R China.
关键词：
navigation (information retrieval);portals
摘要：
We investigated a topic-based navigation guidance system in the World Health Organization portal, compared the link connection network and the semantic connection network derived from the guidance system, analyzed the characteristics of the 2 networks from the perspective of the node centrality (in_closeness, out_closeness, betweenness, in_degree, and out_degree), and provided the suggestions to optimize and enhance the topic-based navigation guidance system. A mixed research method that combines the social network analysis method, clustering analysis method, and inferential analysis methods was used. The clustering analysis results of the link connection network were quite different from those of the semantic connection network. There were significant differences between the link connection network and the semantic network in terms of density and centrality. Inferential analysis results show that there were no strong correlations between the centrality of a node and its topic information characteristics. Suggestions for enhancing the navigation guidance system are discussed in detail. Future research directions, such as application of the same research method presented in this study to other similar public health portals, are also included.
作者机构：
[Gan, Chunmei] Sun Yat Sen Univ, Sch Informat Management, Guangzhou 510006, Guangdong, Peoples R China.;[Wang, Weijun] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.;[Gan, Chunmei] Sun Yat Sen Univ, Sch Informat Management, 132 Waihuandong Rd, Guangzhou 510006, Guangdong, Peoples R China.
通讯机构：
[Gan, Chunmei] S;Sun Yat Sen Univ, Sch Informat Management, 132 Waihuandong Rd, Guangzhou 510006, Guangdong, Peoples R China.
关键词：
Social media;Co-word analysis;Bibliometric analysis;Research status;Research trend;China
摘要：
This study aims to map the intellectual structure of social media research in China from 2006 to 2013. Bibliometric and co-word analysis were employed to reveal the characteristics and status on social media research in China. Data was collected from China Academic Journals Full-text Database during the period of 2006---2013. In bibliometric analysis, descriptors of years, themes, subjects, institutions and authors were applied to obtain the research characteristics of social media. In co-word analysis, hierarchical cluster analysis, strategic diagram and social network analysis were adopted. Main results show that, a total of 3178 CSSCI papers on social media have risen yearly and exponentially. The most and distinctive themes were microblog, blog, virtual community and social networking site. The most common subject was News and media, followed by Library, information and digital library, Computer software and application. Wuhan University, Renmin University of China and Nanjing University ranked the top three on the most publications. And the distribution of number of authors with different publications obeys power-law distribution. Moreover, the number of keyword frequency obeys power-law distribution. The core keywords include social media, traditional media, Internet, dissemination and user. There are ten research directions on social media in China, some of which are highly correlated. Generally, the relatively dispersive distribution of research topics suggests the imbalanced development on social media research in China. Some hot topics are well-developed and tend to be mature, a few topics have a great potential for further development, and many other topics are marginal and immature. This study aims to map the intellectual structure of social media research in China from 2006 to 2013. Bibliometric and co-word analysis were employed to reveal the characteristics and status on social media research in China. Data was collected from China Academic Journals Full-text Database during the period of 2006---2013. In bibliometric analysis, descriptors of years, themes, subjects, institutions and authors were applied to obtain the research characteristics of social media. In co-word analysis, hierarchical cluster analysis, strategic diagram and social network analysis were adopted. Main results show that, a total of 3178 CSSCI papers on social media have risen yearly and exponentially. The most and distinctive themes were microblog, blog, virtual community and social networking site. The most common subject was News and media, followed by Library, information and digital library, Computer software and application. Wuhan University, Renmin University of China and Nanjing University ranked the top three on the most publications. And the distribution of number of authors with different publications obeys power-law distribution. Moreover, the number of keyword frequency obeys power-law distribution. The core keywords include social media, traditional media, Internet, dissemination and user. There are ten research directions on social media in China, some of which are highly correlated. Generally, the relatively dispersive distribution of research topics suggests the imbalanced development on social media research in China. Some hot topics are well-developed and tend to be mature, a few topics have a great potential for further development, and many other topics are marginal and immature.
摘要：
Customer churn prediction is one of the key steps to maximize the value of customers for an enterprise. It is difficult to get satisfactory prediction effect by traditional models constructed on the assumption that the training and test data are subject to the same distribution, because the customers usually come from different districts and may be subject to different distributions in reality. This study proposes a feature-selection-based dynamic transfer ensemble (FSDTE) model that aims to introduce transfer learning theory for utilizing the customer data in both the target and related source domains. The model mainly conducts a two-layer feature selection. In the first layer, an initial feature subset is selected by GMDH-type neural network only in the target domain. In the second layer, several appropriate patterns from the source domain to target training set are selected, and some features with higher mutual information between them and the class variable are combined with the initial subset to construct a new feature subset. The selection in the second layer is repeated several times to generate a series of new feature subsets, and then, we train a base classifier in each one. Finally, a best base classifier is selected dynamically for each test pattern. The experimental results in two customer churn prediction datasets show that FSDTE can achieve better performance compared with the traditional churn prediction strategies, as well as three existing transfer learning strategies.
关键词：
Digital libraries;Automatic analysis technologies;Chinese books;Document analysis;Hierarchical organization categories;Table of Contents
摘要：
Purpose – The purpose of this paper is to propose a novel method to analyze Table of Contents (TOC) in Chinese books automatically based on the hierarchy organization rules which gained by investigation. Design/methodology/approach – This paper analyzed the main literature in this field first, then hierarchy organization rules of Chinese book TOC were generated and the method parsing TOC automatically based on these rules was proposed. A prototype system implementing the method was also developed. The method was evaluated through processing a corpus on the prototype system, and the results were checked with calculation of precision and recall. Findings – The experiment result illustrated the superiority (extensive application, recall is 95.34 percent and precision is 94.44 percent) of the method. Practical implications – The result can help Chinese libraries deal with electronic texts from four aspects. First, it can be used to complement or enhance current digitization and optical character recognition methods and cut the financial and labor cost of Chinese libraries. Second, it can help libraries to keep information on indexing words as well as chapters, sections and subsections in Chinese book databases, which ensures easy retrieval and extract any intended portion as demanded by user. Third, it helps to enrich the services and then enhances the user experiences in Chinese libraries. Fourth, it improves the specification and policy of digitalizing Chinese books. Originality/value – The paper provided insight into the hierarchy organization of TOCs in Chinese books, the method based on the rules has extensive application than other methods. This method for Chinese book TOC automatic analysis is also as reference for English book TOC automatic analysis.
