Current Issue

2018, Vol. 20 No. 2 Published:30 April 2018

Emotional Deficit in Cyber Society#br# ——Emotional Bias and Tension Structure of Internet Expression and Communication

XU Xiang, YANG Tian

2018, 20 (2): 1-9.

Abstract ( 51 ) PDF (0 KB)( 128 )

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The emotional bias and its relationship characteristics in the network field have influence on the emotional guidance, emotional regulation and emotional governance in the network public opinion In the communication space of the network society, it doesn′t mean that the more frequently the emotion appears, the more effective this kind of emotional communication is On the contrary, the phenomenon and mechanism of ′emotional deficit′ exist based on the empirical analysis of  543,754 posts on ′Topbuzz′ By dividing the headlines into 35 kinds of emotions, the results show that the higher the emergence frequency of a mood is, the lower the number of reading and comment is; whereas, the lower the emergence frequency of a mood is, the higher the number of reading and comment is This means that although some emotions are expressed in a large number, they lack social influence, while some emotions are relatively low in frequency and proportion, but they have strong social influence This constitutes the ′emotional deficit′ caused by different emotional bias in the network communication It refers to the reverse relationship between emotional expression and reception, showing the difference bias, tension structure and characteristics of the communication relationship in the network society

Influencing Factors of Consumers′ Willingness to Participate in Sharing Service

HU Chun， WANG Luyuan

2018, 20 (2): 10-17.

Abstract ( 47 ) PDF (0 KB)( 73 )

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Based on the technology acceptance model, SERVQUAL model, and research data from users, a model of the influencing factors of consumers′ willingness to participate in sharing economy is established External variables of the model are the responsiveness of the sharing service, the reliability of the sharing service, and the empathy of the sharing service; its endogenous variables are perceived ease of use and perceived usefulness By using correlation analysis and regression analysis for empirical research on the data of questionnaire, the study finds that perceived usefulness and perceived ease of use have directly positive effects on consumers′ willingness to participate in sharing service. Meanwhile, responsiveness, reliability and empathy positively affect consumers′ willingness to participate indirectly via the perceived usefulness and perceived ease of use Also, perceived ease of use influences consumers′ willingness to participate indirectly through perceived usefulness in a positive way Based on the research results, some relevant suggestions on optimizing service are put forward for sharing economic enterprises

Influence of Characteristic Variables on Differences of Potential Users′ Selfefficacy #br# in Carsharing Services

SONG Lingyu, ZHU Ge, HU Min, GU Xiaoyan

2018, 20 (2): 18-26.

Abstract ( 130 ) PDF (0 KB)( 74 )

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 Carsharing service, as a new selfservice travel mode, has joined the public transportation field In order to study the characteristic variables that affect potential users′ selfefficacy, data from 318 potential users′ selfefficacy in carsharing services in Beijing, Shanghai and Guangzhou is collected by Ipsos Group According to hypotheses, the differences among overall selfefficacy, vehicle selfefficacy and application selfefficacy in different variables (gender, age, city, income, bicyclesharing service and driving license) are discussed and analyzed in detailResults show that gender, age, city, income and driving license are all significant predictors of potential users′ selfefficacy However, whether participants use bicyclesharing services or not has no significant effect on selfefficacy in carsharing servicesResults provide important theoretical value and practical guidance for the carsharing services  marketing

Symbiotic Integration Model of Ecommerce and Express Delivery Based on Logistic Model

TIAN Shuaihui, FENG Jing

2018, 20 (2): 27-33.

Abstract ( 46 ) PDF (0 KB)( 64 )

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At present, ecommerce and express delivery are interdependent and supporting each other Their business cooperation becomes increasingly close and their relevant areas continue to expand Based on the statistics of historical development of ecommerce and express delivery, the grey relational theory is used to analyze the correlation coefficients between ecommerce and express delivery Then the symbiosis theory in the field of biology and the Logistic model are used to study the symbiotic relationship between ecommerce and express delivery In addition, the symbiotic integration model is quantitatively studied between ecommerce and express delivery, and the symbiotic model is employed to study the correlation between the two Finally, the study shows that the two are more consistent with asymmetric reciprocal symbiosis

Criminal Law Protection for Nonsensitive Information of Citizens in the Age of Big Data

HE Hongbo

2018, 20 (2): 34-40.

Abstract ( 48 ) PDF (0 KB)( 70 )

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The nonsensitive information of citizens is increasingly showing the dual face of data resource contribution and data resource victimization, and the real demand of the criminal law protection for  nonsensitive information of citizens is increasing in the age of big dataInterpretation on several issues concerning the application of law in handling criminal cases of infringing personal information of citizens provides judicial permission for criminal law protection for the nonsensitive information of citizens by establishing general protection rules, classification and conviction rules and different sentencing rules of citizens′ personal nonsensitive information The right of personal information should be focused on for dealing with practical difficulties of criminal law protection for nonsensitive information of citizens At the macro level, the national big data strategy should be coordinated with to deepening the understanding of the rule of law for the criminal law protection for nonsensitive information At the micro level, the conviction system standards should be based on refinement of the number rules for the criminal law protection for the nonsensitive information

Bibliometric Analysis Report of Penalty Measurement Area in China (1998—2017)#br# ——Based on CiteSpace Visualization Maps and Strategic Diagram#br#

WANG Zhipeng

2018, 20 (2): 41-47.

Abstract ( 47 ) PDF (0 KB)( 65 )

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The study on penalty measurement has presented new development directions and features in China; Most scholars focused summarized researches on academic conferences and some academic papers, whereas little attention has been drawn to the study on feature localization through bibliometrics By selecting the corresponding data from CNKI social sciences vol1 with the assistance of visualized analysis software, CiteSpace, data statistics, coword clustering analysis and strategic diagram analysis are utilized to analyze those works on penalty measurement from domestic scholars, and institutions as well as their inbetween cooperative relationships in the past twenty years and make specific researches on the status quo, hotspots and development direction of this issue, thereby furthering its research characteristics and development trend Consequently, 9 topics such as ′penalty measurement benchmarks′ ′penalty measurement facts and evidence rules′ etc are placed on the front burner

Measure Research on Spillover Effect of R&D Activities among Enterprises#br#

LIU Shu-lin，YANG Yu-hui

2018, 20 (2): 48-57.

Abstract ( 47 ) PDF (0 KB)( 71 )

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In order to explore the externalities of R&D activities and accurately measure their spillover effect, based on the nature of the spillover effect of R&D activities and combined with Leontief′s coefficient of complete consumption, the concept of complete spillover effect is proposed and the spillover effect matrix and measure model of R&D activities are constructed on the micro level of  enterprise according to the feature of the spillover effect Based on this, the spillover effect of the listed companies in the electrical machinery and equipment manufacturing industry from 2009 to 2015 is analyzed Results show that spillover effect exists in R&D activities and is represented in the form of complete spillover effect, and the spillover capability of an enterprise is an important part of the innovative ability of the enterprise The above conclusions can provide a theoretical basis for the government to optimize the flow of research funding and dynamically adjust the R&D investment structure

Impact of Innovation Subsidy on SMEs′ Technological Innovation#br# ——Analysis Based on Different Patterns of Subsidy

YIN Meng-ling

2018, 20 (2): 58-68.

Abstract ( 51 ) PDF (0 KB)( 67 )

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Based on the SME (small and medium enterprises) Technology Innovation Fund, which is an important innovation subsidy policy, the effectiveness of different patterns of innovation subsidy is examined from the perspective of innovation output And on this basis, the moderating effect of institutional environment of intellectual property protection and financial development level on SMEs′ technological innovation output is explored Results show that compared with interest free bank loans, appropriation is more effective on SMEs′ technological innovation output And the higher level of intellectual property protection, the more remarkable effect of appropriation to the promotion of SMEs′ technological innovation output; the higher level of financial development, the more remarkable effect of interest free bank loans to the promotion of SMEs′ technological innovation output

Influence of Suggestion on Consumers′ Willingness to Provide Personal Information

HUANG Yi-jun， ZENG Zi-qian， YAN Qiang, ZHAO Jing-fang

2018, 20 (2): 69-75.

Abstract ( 49 ) PDF (0 KB)( 70 )

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Suggestion effect has been widely used in the business world, but similar research in the field of personal information is just at the beginning phase In the preliminary questionnaire survey of the same subject, it was found that there was a great difference between suggestion and non-suggestion during the process of getting users′ information Therefore, this paper plans to examine suggestion effect on willingness of providing personal information Based on the literature review of personal information and suggestion, the experimental research method was designed Two experiments were conducted in two different scenarios with implied suggestion group (experimental group) and non-suggestive group (control group) respectively Results show that the scenario is crucial for the suggestion effect, and the suggestion can positively affect consumers′ willingness to divulge personal information when consumers are implied in the appropriate scenario Furthermore, females are more likely to be influenced by the suggestion than men in the same situation The Conclusions help enterprises understand the effects consumers have been suggested, which not only benefits the development of a more harmonious and healthy digital economy, but is also helpful for the positive application of psychology in the field of management

Time Features of Online Information Interaction

ZHANG Hong1,2, WU Hong1, YU Zhi-yuan1,3

2018, 20 (2): 76-82.

Abstract ( 50 ) PDF (0 KB)( 61 )

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 Researches on human online information interaction are helpful in systematically understanding human behavior dynamics, and also give theoretical foundation for effective regulation and service of human online information Firstly, through rescaled range analysis, Hurst exponent and V-statistic are calculated, and it is  found that the values of the Hurst exponent are greater than 05, and V-statistic curves show an upward trend, which indicates that the time series of human online information interaction intervals show fractal with self-similarity and long-range dependence. Then, it is found that there is a positive relation between the turning point of V-statistic curve and Hurst exponent, which means greater Hurst exponent means longer noncyclic period of time series The results can provide new ideas and methods for analysis of human online information interaction, and predicting the arrival of new interaction and making effective supervision of public sentiment based on time feature

Optimization of Export Commodity Structure of China′s Manufacturing Industry

YE Kai

2018, 20 (2): 83-90.

Abstract ( 53 ) PDF (0 KB)( 71 )

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In view of the factors affecting the export commodity structure of the manufacturing industry, the VAR model is established by using the related data from 1995 to 2015 and the measurement analysis is carried out The results show that technical improvement, as one of the major influencing factors, has significant influence on the optimization of export commodity structure of China′s manufacturing industry; foreign direct investment has a significant positive impact on the optimization of export commodity structure; in the short term, the rise of the real effective exchange rate of RMB is conducive to the optimization of the export commodity structure, while in the long term, there is an inhibition effect Based on this conclusion, it is of great significance to further optimization of the export commodity structure of China′s manufacturing industry, and further enhancement of the international competitiveness of China′s manufacturing export commodities, and achievements of the transformation from a trading power to a trading power

Score Analysis of Undergraduate Students Based on Improved Clustering #br# and Association Rules Mining

ZHANG Tian, YIN Chang-chuan, PAN Lin, AN Jie

2018, 20 (2): 91-96.

Abstract ( 55 ) PDF (0 KB)( 68 )

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In order to analyze the learning quality of undergraduate students in communication engineering major in Beijing University of Posts and Telecommunications (BUPT) and improve the training program, a score analysis method based on improved clustering and association rules mining is presented, and data mining methods are used to analyze the correlation among the students′ performance in different courses Taking the scores of classes of 2009~2011 undergraduates in communication engineering major in BUPT as the sample data, the proposed mining method is used to obtain the network of association rules so as to analyze the connection among courses, to determine the key courses and to evaluate the effectiveness of teaching Meanwhile, taking the National College Entrance Examination (NCEE) scores of class 2011 as a sample, association rules between NCEE scores and university scores are mined in order to analyze students′ performance after the entrance The results can provide some insights for the improvement of teaching methods, which is quite important to improve students′ learning quality

Incubation of College Students′ Innovation and Entrepreneurship#br# ——Based on Innovation and Entrepreneurship Education in Beijing University #br# of Posts and Telecommunications

CUI Yan-song，LIU Xin

2018, 20 (2): 97-101.

Abstract ( 48 ) PDF (0 KB)( 67 )

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 Under the environment of developing and constructing new engineering courses, cultivating the spirit of innovation, strengthening entrepreneurial awareness and enhancing the ability of innovation and entrepreneurship have become important aspects in the comprehensive cultivation of university students Successful innovation and entrepreneurship require a wide range of resources and assistance, among which the efficient incubation plays a crucial role in the success of an innovation and entrepreneurship project On the basis of investigating the current situation of students′ innovation and entrepreneurship in Beijing University of Posts and Telecommunications at the present stage, the factors that affect the success of college students′ innovation and entrepreneurship are analyzed, and the diversified incubating ways of college students′ innovation and entrepreneurship programs are explored

Design-based Research on SPOC Flipped Classroom Learning Space#br# ——A Case Study of a Circuit Analysis Course#br#

ZHENG Jian-shuang, YANG Yan

2018, 20 (2): 102-108.

Abstract ( 47 ) PDF (0 KB)( 61 )

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 Learning space is an important part of a learning environment The change of learning environment will affect students′ learning behavior and teachers′ teaching behavior The study on learning space of SPOC (Small, Private, Online, Course) flipped classroom based on design research method, is guided by the PST (Pedagogy-Space-Technology) model. And through the implementation and the method of questionnaire and interview, its results are analyzed It is found that students have better awareness on learning space, and their performance and comprehensive ability are significantly improved On the basis of learning space, the equitable distribution of  basic curriculum resources and the personalized distribution of the individual curriculum resources are realized; in the classroom teaching, the teaching evaluation mode is diversified; in time management, students′ self-learning ability and cooperative learning ability are improved