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28 January 2017, Volume 29 Issue 1 Previous Issue    Next Issue

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A Study of Herd Behavior and Its Rationality In China's Online Peer-to-Peer Lending Market Chen Dongyu, Zheng Haichao 2017, 29 (1):  3-11.  Abstract ( 223 )   PDF (1059KB) ( 712 )   We aim to investigate the rationality of private lending in China's online market with data collected from a leading online peer-to-peer lending platform in China. We find that the amount of bidding for a borrowing listing at the current period is significantly and positively associated with total bidding amount at the end of the previous period, implying that herding behaviors exist among lenders at the P2P lending market in China. However, some of the attributes of borrowing listings don't negatively moderate the relationship between the bidding amount at the end of the previous period and the bidding amount for the current amount, and there are no significant negative relationship between herding momentum and loan performance, indicating that the herding behavior is not dominated by rationality and could not get access to "crowd wisdom". The findings of the research provide valuable insights for policy makers and lending platforms. References | Related Articles | Metrics

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Study on the Industrial Energy Saving Potential Based on Energy Intensity Gap between Domestic-owned and Foreign-invested Enterprises Jiang Xuemei, Zhu Kunfu 2017, 29 (1):  12-18,92.  Abstract ( 209 )   PDF (1072KB) ( 616 )   Based on a non-competitive energy input-output table that differentiates firm ownership, this paper analyzes the energy intensity gap between domestic-owned enterprises (DOEs) and foreign-invested enterprises (FIEs) in industries, and quantifies the industrial energy saving potential when DOEs catch up FIEs in terms of technology. The results show that the upgrades of structure, energy-saving technology and production technology of DOEs can bring respective 10%, 22% and 33% of reductions of energy consumptions of China's industry. Considering both the policy feasibility and social costs, we think the expansion of advanced energy-saving and production technology in DOEs is an effective way for industrial energy saving. References | Related Articles | Metrics

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The HAR-RV-EMD-J Model and Its Application to Forecasting the Volatility of Financial Assets Gong Xu, Wen Fenghua, Huang Chuangxia, Yang Xiaoguang 2017, 29 (1):  19-32.  Abstract ( 342 )   PDF (1326KB) ( 1162 )   On the basis of the HAR-RV model, we develop a new HAR-type volatility model (i.e., HAR-RV-EMD-J model). Then we use 5-min high-frequency transaction data of the CSI 300 stock index and CSI 300 stock index futures as the study sample, and respectively analyzes the HAR-RV-EMD-J and the other four HAR-type volatility models. The results indicate that the high-frequency realized volatility, low-frequency realized volatility can be used to predict the future 1 day, 1 week, 2 week and 1 month volatilities, while the trend realized volatility and jump volatility are poor at its prediction accuracy. Besides, the HAR-RV-EMD-J model shows obviously better forecasting performance than the other HAR-type volatility models on forecasting the future volatilities of the CSI 300 stock index and CSI 300 stock index futures. References | Related Articles | Metrics

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Research on the Factors and Hierarchy Difference of Farmer Household Microfinance Risk LÜ Dehong, Zhu Ying 2017, 29 (1):  33-41.  Abstract ( 165 )   PDF (1085KB) ( 976 )   This paper use Logistic-ISM model to research the factors and hierarchical structure differences of farmer household microfinance risk based on the data from the field survey conducted in Guanzhong area of Shannxi province. The result shows operating non-agricultural business can reduce microfinance risk effectively; the factors of farmer household microfinance risk is a complex system with hierarchical structure; farmer household with different business have different reaction degree to factors and different recognition to microfinance. References | Related Articles | Metrics

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A RAROC-Based Approach to Loan Insurance Pricing Hu Bin, Hu Yanping 2017, 29 (1):  42-52.  Abstract ( 267 )   PDF (1225KB) ( 722 )   Allocating economic capital and setting RAROC targets to business, is the direction of risk management of the commercial banks and insurers. Based on the RAROC, this thesis creates a pricing model which can measure the price range and basic price for loan insurance reasonably. This model can make up for the inadequacy of relevant models and will be more feasible in practice, so it can be used to develop the transfer pricing theory of credit risk. The study also proposes that RAROC should become one of the important indicators in formulating the loan insurance price or the transfer price of credit risk. References | Related Articles | Metrics

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An Empirical Study on the Competitiveness Factors of Service Offshoring in India Based on Entropy and Gray Correlation Degree Methods Zhu Fulin, Zhang Bo, Wang Na, Yuan Junliang 2017, 29 (1):  53-61.  Abstract ( 167 )   PDF (1089KB) ( 585 )   Firstly thirty economic and social development indicators which might affect the competitiveness of service offshoring in India are chosen, and then we use gray correlation method to estimate the gray correlation degree between service offshoring and these factors. Furthmore, after calculating weights of each factors by entropy method, we measure the comprehensive gray correlation degree between service offshoring and the entire factors which represents the whole economic system. Findings mainly include, different rankings and laws among these competitiveness factors in India are discovered, the comprehensive gray correlation between service offshoring and the whole economic system reach 0.7982, which is at the moderate level, and some key factors in the development of offshore outsourcing in India are also found. References | Related Articles | Metrics

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Does Public Service Motivation Mediate the Relationships between High Commitment Work System and Public Employees' Voice Behaviors? Liu Bangcheng, Zhou Hang, Hong Fengbo 2017, 29 (1):  62-69.  Abstract ( 217 )   PDF (1069KB) ( 925 )   An investigation of 387 public employees in Yangtze River Delta demonstrates that high commitment work system (HCWS) is significantly and positively associated with public employees' voice behaviors. And the results indicates that public employees' public service motivation (PSM) partially mediates the relationships between HCWS and public employees' voice behaviors. Using the theory of public service motivation, this study provides a new theoretical perspective to open the "black box" between high commitment work system and employees' voice behaviors. At the same time, this study implies personnel and organizational management practice for more effective public employees' voice behaviors. References | Related Articles | Metrics

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IT Investment, CEO Overconfidence, and Firm Performance Wang Tienan, Wang Yu 2017, 29 (1):  70-81.  Abstract ( 272 )   PDF (1147KB) ( 1007 )   Prior researches have focused on CEO overconfidence' negative effects on corporation investments, but CEO overconfidence' positive effects on corporate investments have been largely neglected in the literature to date. Drawing on resource-based view and Upper Echelon Theory, a mediated moderation model which explains how CEO overconfidence moderates the relationship between IT investments and firm performance is constructed and moderated path analysis is used to test this prediction by using Chinese listed firms from 2007 to 2013. The empirical results show that IT investment has a positive impact on firm performance; CEO overconfidence has significant positive moderating effects on that relationship between IT investments and firm performance; R&D expenditure mediates the moderating effect of CEO overconfidence on the effect of IT investments in firm performance. This study reveals CEO overconfidence is an important IT complementary resource. CEO overconfidence not only has significant positive moderating effects on that relationship between IT investments and firm performance, but also leads to larger investment in R&D and a stronger capacity to absorb IT investment, thus giving full play to the potential of IT investment and its effect on firm performance. These findings expand related IT performance research, overconfidence research, Upper Echelon Theory and provide important practical implications for corporate IT investment. References | Related Articles | Metrics

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Emotion or Cognition? Influence Mechanism of Supervisor Incivility on Employee Work and Life Zhan Xiaojun 2017, 29 (1):  82-92.  Abstract ( 276 )   PDF (1133KB) ( 695 )   The existing studies indicate that supervisor incivility can reduce the employee satisfaction in job and life, but if it remains unknown about whether the influence mechanism and other different ones play the same role. Based on affective event theory and social exchange theory, the study compares the mediating role of negative emotion and interpersonal fairness between supervisor incivility and employee satisfaction of job and life. With 449 employees and colleagues as research subjects, the study reaches the following conclusions:(1) negative emotion and interpersonal fairness work as mediating roles between supervisor incivility and staff satisfaction of job and life, (2) the mediating effect of interpersonal fairness has a stronger impact on job satisfaction from supervisor incivility than negative emotion does, (3) there is no obvious difference in the mediating effect of negative emotion and interpersonal fairness on life satisfaction from supervisor incivility. Overall, emotion and cognition can explain the influence employee satisfaction of job and life from supervisor incivility. But the explaining effect based on the two perspectives is different to various types of satisfaction. References | Related Articles | Metrics

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Research on Spatial Differentiation in the Dynamic Evolution Mechanism of Forming Chinese Construction Industry Competitiveness Liu Bingsheng, Wang Ran, Chen Xiaohong, Meng Junna, Xue Bin 2017, 29 (1):  93-104.  Abstract ( 142 )   PDF (1517KB) ( 605 )   Based on existing research findings and present situation in the development process of regional construction industries in China, the authors combine Support Vector Machine model and the Principal Components model with Multi-Attribute Model with Time Series and conduct an empirical study on spatial differentiation in the dynamic evolution mechanism of forming Chinese construction industry competitiveness. Our research shows that the innovative ability, as a key factor of industry competitiveness in eastern region, contributes more strongly; status of industrial organization has a positive influence on the development of construction industry in central region gradually; the increasing input of production factors, a major factor for industry competitiveness, has promoted the whole construction industry competitiveness in western region. This research reveals the future development direction of construction industry in different regions of China, accomplishes theoretical and methodological innovations of industry competitiveness study in space and time, and establishes a study foundation for the research of industry regulation on the coordinated development of construction industry. References | Related Articles | Metrics

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Study on the Relationships between Knowledge Resource, R&D Investment and Cross-border Innovation Result——An Empirical Analysis Based on Panel Threshold Regression Ren Hongyuan, Liu Gang, Luo Yongtai 2017, 29 (1):  105-113.  Abstract ( 191 )   PDF (1050KB) ( 750 )   Panel threshold regression analysis is used to test the relationships between knowledge resource, R&D investment and cross-border innovation result. Based on an empirical analysis of the data on the transnational science and technology listed enterprises for cross-border innovation from 2003 to 2013, the study finds that the knowledge resource and R&D investment has a positive effect on the cross-border innovation result, but there is a threshold of knowledge resource. The institutional distance can cause the inhibition to the R&D investment's effect on the cross-border innovation result and improve the knowledge resource threshold of the cross-border innovation efficiency. The study also analyzes the mutual influencing among different innovation resource bases of transnational enterprises based on different conditions of institutional distance. Suggestions for improving transnational enterprises' innovation ability as well as the government management are proposed based on those conclusions. References | Related Articles | Metrics

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Influential Factors Research on Knowledge Sharing of Multinational Based on 24-hour Knowledge Factory Xia Huosong, Li Jingwen, Xiong Gan, Li Fang 2017, 29 (1):  114-124.  Abstract ( 149 )   PDF (1142KB) ( 519 )   In order to solve the problem of the asynchronously across time zones in the process of knowledge sharing effectiveness, we combine 24-hour knowledge factory thought with typical characteristics of distributed teams based on Enterprise Resource Theory and Collaborative Management Theory, sum up the key factors of knowledge sharing in global operations asynchronously across time zones, build the Knowledge sharing effectiveness factors theory model, and use 227 pieces of data of empirical investigation and undertake overseas outsourcing multinational project team members to verify hypothesis, the results show that:(1) The heterogeneity of knowledge, trust and the extent of the use of information and communication technologies have a significant positive impact on the effectiveness of knowledge sharing, the degree of separation working hours across time zones have a significant negative impact on the effectiveness of knowledge sharing; (2) The application of information and communication technology has a significant positive regulatory role to the knowledge heterogeneity, the degree of separation of work time and knowledge sharing effectiveness. References | Related Articles | Metrics

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A Study of Mobile APP Adoption Process Based on Massive Log Data Zhang Chong, Liu Ying, Chu Min, Mei Mei 2017, 29 (1):  125-133.  Abstract ( 214 )   PDF (1204KB) ( 1198 )   This study qualitatively and quantitatively analyzes the whole adoption process of mobile APP. Firstly we build user adoption process conceptual model of mobile APP based on 76 users' interview and point out that the whole adoption process include four stages, three times of decision-making and three kinds of user losing; Then we reveal the user behavior features based on 20 million users log data:analyze the basic distribution features of user lifecycle, define the cycle time of different stages and analyze the two-stage user losing rate of the whole adoption process. References | Related Articles | Metrics

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Can IT Resources Enhance Channel Power in the Way of Information Searching and Sharing? Zhang Tao, Zhuang Guijun 2017, 29 (1):  134-143.  Abstract ( 180 )   PDF (1094KB) ( 702 )   Based on the RBV theory, this paper studies how two types of IT resources of a manufacturer influence its information searching and sharing, and its channel power. Three conclusions are drawn with the data of 99 samples. First, IT infrastructure resource has positive impact on information searching while has no significant impact on information sharing. Second, IT human resource has positive impact on both information searching and information sharing. Third, driven by the increasing efficiency of information searching and sharing, the channel power of the manufacturer will be enhanced. Finally, managerial suggestions on how to use IT to reinforce channel power are given according to these conclusions. References | Related Articles | Metrics

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The Effect of Electronic Word-of-mouth on Sales through Fine-gained Sentiment Analysis Meng Yuan, Wang Hongwei, Wang Wei 2017, 29 (1):  144-154.  Abstract ( 394 )   PDF (1262KB) ( 1728 )   With the development of online reviews system, WOM has become an important reference for consumers' purchasing decision and affects product sales trend. Taking skin care products for example——in which WOM effect is most obvious, this paper makes use of fine-gained sentiment analysis technology to extract objective sentiment and subjective sentiment in the WOM. According to the "Term Frequency", the paper designs and tests the weight index of each dimension of fine-gained sentiments, and eventually constructs the fine-gained sentiment index. Then, fine-gained sentiment index and consumer rating are taken as input emotion variable in the ARMA model respectively for sales forecast empirical analysis. The comparative results show that the model which adds an emotion variable could improve the data fitting ability. The sentiment index has stronger predictive power and higher prediction precision. The model in which the consumer rating as an emotion variable has higher prediction ability on some point, but the overall predictive power isn't ideal. The results also show that sentiment index that is one period behind provides the best prediction effect. Sentiment index that is one to four periods behind could produce some effects on sales forecast. References | Related Articles | Metrics

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What Drives Customer Engagement Behavior?——Formation Mechanism and Empirical Analysis Shao Jingbo, Zhang Junhui, Lin Xiaodong 2017, 29 (1):  155-165.  Abstract ( 280 )   PDF (1195KB) ( 1081 )   Nowadays, the contributions customers could make to enterprises are not limited to direct purchase behavior. Non-purchase behavior, namely customer engagement behavior, also plays an important role. Specifically, customer engagement behavior refers to the non-purchase behavior resulting from some motivational drivers toward a brand or an enterprise. This paper focuses on customer engagement behavior and aims to discuss its formation mechanism. Firstly, we use focus group and depth interview to gather original materials from 18 candidates in the car, financing product, clothe and education training industries. Then grounded theory approach is introduced to analyze the original materials, and a conceptual model of customer engagement behavior's formation mechanism is constructed based on the three steps of grounded theory approach, namely open coding, axial coding and selective coding. Next we propose relevant hypotheses on the basis of the six variables in the conceptual model. Finally, we collect data from private car industry through questionnaires, and structural equation model is employed to verify the model. Results show that customer trust, customer satisfaction, self enhancement and social need play an important driving role in the formation mechanism of customer engagement behavior, and customer trust completely mediates the relationship between customer satisfaction and customer engagement behavior. Besides, customer age performs as a moderator in the relationship between customer trust, social need and customer engagement behavior respectively. To be specific, compared with high-age customer group, the influence of customer trust on customer engagement behavior is much bigger for low-age customer group. However, the impact of social need is exactly the opposite of that of customer trust, namely, the influence of customer trust on customer engagement behavior is smaller for low-age customer group. Our findings contribute to the existing theories and managerial practice by identifying the driving factors and how they relate to each other in the formation mechanism of customer engagement behavior. Managerial implications, limitations and future research are also discussed at the end of the paper. References | Related Articles | Metrics

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How does Marketing Information Affect Purchase Intention of Pro-environmental Products——Based on the Moderating Effect of Social Presence Jin Xiaotong, Zhao Taiyang, Li Yang 2017, 29 (1):  166-174.  Abstract ( 251 )   PDF (1169KB) ( 682 )   Through experimental research, this paper find out that marketing information-the knowledge of product and environment, the information of corporate social responsibility (CSR) and the information of descriptive norms-has significantly positive effect on the purchases intention of pro-environmental products of Chinese consumers. Furthermore, the findings also indicate that social presence could enhance the purchases intention while inhibit the positive effect of the knowledge of product and environment and the information of CSR on purchase intention. However, social presence has no significant effect on the information of descriptive norms. This paper employs information processing theory from psychology to explain the findings and provides suggestions for the government and corporations to better promote pro-environmental movements and products. References | Related Articles | Metrics

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The Impacts of Service Failure, Service Recovery on Customer Satisfaction and Loyalty in the Context of Online Shopping Jian Zhaoquan, Ke Yun 2017, 29 (1):  175-186.  Abstract ( 332 )   PDF (1183KB) ( 1481 )   Most of previous studies just focused on the traditional service industries and there is still lack of service failure theoretical construction and empirical research under the context of online shopping service failure. Based on the service failure and recovery theory in the traditional service industries, this paper draws samples from 281 college students and corporate employers who have service failure experience, and adopts structural equation modeling to explore the relationships among service failure, service recovery, customer satisfaction after recovery and loyalty in the online shopping context. The results show that:for process failure, customers tend to get physical compensations, while for result failure, customers tend to get physical compensations; customers' cognition of tangible recovery can bring greater customer satisfaction and loyalty than that of psychology recovery; online shopping customer satisfaction after recovery has a positive impact on customer loyalty. The results reveal the specific influence paths of service failure, service recovery and effects, and also provide some guidelines for online business to make effective service recovery strategies. References | Related Articles | Metrics

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The New Dimensions of Store Image and Their Marketing Effects in the Era of Corporate Branding: An Improvement to the Attribute-based Measurement Li Pengju, Chao Gangling, Huang Pei 2017, 29 (1):  187-198.  Abstract ( 216 )   PDF (1143KB) ( 673 )   Corporate branding is an important trend. Store image determines customer attraction of retailers. Based on corporate brand associations, we improve the traditional attribute-intensive measurement with some integrate factors, and introduce four dimensions of store image, i.e., corporate ability associations(CA), corporate name associations(NA), corporate social responsibility associations(CSR), and store overall price level associations(OPL), which can provide a useful framework for market positioning and retail image management of stores. The SEM results show that CA and NA can directly, and through store evaluation, affect the perceived quality of store brand, CSR only affects store evaluation, but OPL affects neither store evaluation nor the perceived quality of store brand. References | Related Articles | Metrics

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The Impact of E-Business on Supply Chain Performance of Manufacturing Enterprises: An Empirical Study from Information Integration Perspective Zhou Sihua, Wan Guohua 2017, 29 (1):  199-210.  Abstract ( 280 )   PDF (1255KB) ( 1352 )   Based on the resource-based view, relationship view and theory of swift and even flow, we develop a comprehensive conceptual model combining e-business capability, information integration and supply chain performance, to study the relationship between the three constructs. The e-business capability construct consists of four items:customer oriented, supplier oriented, internal oriented and external oriented capabilities; the information integration construct consists of two items:customer information integration and supplier information integration; the supply chain performance construct consists two items:supply chain cost performance and supply chain service performance. Data were collected from 382 manufacturers in Shanghai and statistically analyzed to answer the research question. The results show that customer-oriented e-business has no direct effect on information integration. However, all other three items of e-business capability have positive effect on information integration, and information integration has positive effect on supply chain performance. From this study, we know that enterprises should pay much intention on information integration before introducing e-business so as to improve their supply chain performance. References | Related Articles | Metrics

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Buffer Sizing of a Critical Chain Project Based on the Entropy Method Zhang Junguang, Song Xiwei, Yang Shuang 2017, 29 (1):  211-219.  Abstract ( 236 )   PDF (1288KB) ( 1019 )   To improve the efficiency of buffer management, and optimize the buffer estimation accuracy, a project buffer determination model is proposed based on project uncertainty. First, the entropy method is adopted to assess the uncertainty of the project and obtain the project variance. Second, the minimum duration of the project activity is estimated and the variance coefficient of the project is calculated with the consideration of the project resource supply. And then, a fuzzy method is used to determine the discrete degree, and calculate the project buffer. Finally, the proposed method is compared with the Cut and Paste Method (C&PM) and Root Square Error Method (RSEM) by using the Monte Carlo simulation. The experimental results show that the proposed method can improve the on-time completion rate, and reduce the cost and schedule. References | Related Articles | Metrics

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The Cities' Public Transport Conditions, the Herd Effect and the Marketing Strategy of the Firms of Private Cars Shao Xiaoshuang, Tan Deqing 2017, 29 (1):  220-227.  Abstract ( 272 )   PDF (1077KB) ( 633 )   Combined with the emotions arising from the traffic congestion, as well as the herd effect during the private car consumption, from the perspective of the cities' public transport's substitutable, to analyze the impact of the cities' public transport conditions to the marketing strategy of the firms of private cars, a differential game model of two firms offering quality differentiated private cars is built. The results show that a threshold exists in the improvement of cities' public traffic conditions. When the amount of improvement exceeds the threshold, the firms' optimal dynamic pricing of private cars decreases gradually with time; improvement of the public transport condition in a reasonable range, will not reduce private car sales and can ease the situation of cities' traffic congestion. References | Related Articles | Metrics

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Evaluation Model and Empirical Study of Regional Green Growth System Based on TOPSIS and Grey Relational Analysis Wu Chunyou, Guo Lingling, Yu Jingtao 2017, 29 (1):  228-239.  Abstract ( 260 )   PDF (1333KB) ( 963 )   Based on the existing studies and evaluation methods, this paper establishes the evaluation model of regional green growth system by combining TOPSIS method and grey relational theory. The double benchmarks of the best and worst are introduced in the improved model, and the relative distance is used to measure the gap between system's existing and ideal state. Through comparative analysis of domestic and international typical green growth evaluation indicators system, this paper constructs China's green growth evaluation indicators system, and an empirical study about Chinese green growth level from 2001 to 2012 is achieved by using this model. The empirical results show that China's green growth system is on the rise, but still at a low level. The coordination development of social economy subsystem and ecological environment subsystem has a significant impact on China's green growth system. The volatility growth of natural assets subsystem and policy support subsystem leads to the short-term decline of the entire system. Industrial restructuring, renewable energy development, natural resource conservation, living environment transformation, science and technology advancement and pollution control investment will become important ways to promote China's green development. References | Related Articles | Metrics

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Cobweb Model-based Analysis of Government Subsidy Strategies for WEEE Recycling Hu Shu, Ma Zujun, Dai Ying 2017, 29 (1):  240-249.  Abstract ( 186 )   PDF (1223KB) ( 627 )   The closed-loop supply chain for electrical and electronic equipments under government regulations is investigated. The supply chain consists of manufacturers, retailers, recyclers, collectors and consumers. The profits of each member in the supply chain are analyzed. The repeated game process between government and recycler is analyzed based on the Cobweb model and the equilibrium solution is obtained. On this basis, the government subsidy strategies for WEEE recycling are analyzed. The results show that if recyclers would like to abide by government regulations, the WEEE recycling rate in equilibrium can be enhanced by decreasing the sensitivity to the realized WEEE recycling rate or increasing the upper limit of government subsidy for WEEE recycling. However, if the government blindly seeks to maximize the WEEE recycling rate in equilibrium by increasing the government subsidy constantly, it will lead to a loss of social welfare, and the degree of loss will increase with the unit subsidy. References | Related Articles | Metrics

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Study on the Implementation Mechanism of Organizational Innovation from a Routine-Evolution Perspective: A Case Study on DD Innovation of HOAU Lin Haifen, Wang Tao 2017, 29 (1):  250-264.  Abstract ( 257 )   PDF (1397KB) ( 713 )   Organizational innovation has become a key way of pursuing new opportunity, improving performance and obtaining competitive advantages for firms. In order to stride beyond the existing researches that focus only on the horizontal issues of innovation, namely multiple elements of innovation, or its general rules, this research attempts to deeply explore the complicated implementation mechanism of organizational innovation from the perspective of routine evolution, by adopting a case study on the Day-Definite (DD) innovation of Arima World Group Company Limited (HOAU). The results indicate that:the implementation of organization innovation reflects a systematic project referring to the evolution of organization routines; the evolution of organization routines during innovation occurs through a process of three phases:the existing-routine-dominating phase, the new-routine-forming phase and the new-routine-solidifying phase, each exhibiting different organizational innovation activities, cognition of participants and their behaviors. Creating a new routine through interaction and role-play is the key for evolution of routines and also for success of innovation. References | Related Articles | Metrics

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Research on the Safety Risk Management and Control Model for Enterprise Based on WSR Methodology——Case Analysis of “11·22” Sinopec Oil Pipeline Leakage and Explosion Accident Liu Changsen, Guo Jianhua, Jin Hao, Chen Jian 2017, 29 (1):  265-272.  Abstract ( 379 )   PDF (1332KB) ( 811 )   Scientific safety risk management mode has great significance to reduce the accident rate and accident loss for enterprise. Through the analysis of characteristics and advantages of the WSR system methodology, this paper proposes the risk management and control model. Based on the safety production management network, safety concept and cultural atmosphere, with the zero-risk management as the goal oriented, the model adopts PDCA cycle program to control the risk factors of the "Wuli-Shili-renli", finally to ensure the smooth safety production. Because of having the oriental characteristics, the WSR methodology will be conducive not only to the integration of the traditional culture and the practice in enterprise, but also to the deep identification and control of enterprise risk factors. Finally, the important role of enterprise management and control from the "Wuli-Shili-renli" point of view is demonstrated through the analysis of "11·22" Sinopec oil pipeline leakage and explosion accident. References | Related Articles | Metrics