Based on Chinese local culture context, this study explores the influence mechanism of family supportive supervisor behavior (FSSB) on employee helping behavior, and examines the mediating effect of family-like exchange relationship and the moderating effect of employee traditionality. Using a questionnaire survey, the study finds that FSSB has a positive effect on employee helping behavior, which is completely mediated by family-like exchange relationship. Meanwhile，the study also finds that employee traditionality can enhance the positive effect of FSSB on family-like exchange relationship and the mediating effect of family-like exchange relationship on the relationship between FSSB and employee helping behavior, which means that the higher level traditionality the employee is, the stronger the mediating effect of family-like exchange relationship becomes.

This paper analyzes the knowledge resources through knowledge sets and the influence mechanism of continuous innovation ability, on this basis, then constructs the relational model of the virtual organization between knowledge resources acquisition, knowledge integration and continuous innovation ability. Finally, with a sample of 291 companies, the results indicate that the dominant knowledge resources acquisition and tacit knowledge resources acquisition have a significant positive effect on continuous innovation ability, the knowledge integration has a significant positive effect on continuous innovation ability, and learning ability of knowledge resources and knowledge integration have significant positive adjustment effect.

Based on the open innovation situation, enterprises can realize value chain resource integration across technology boundaries and organizational boundaries. This research explores the relationship among innovation partner heterogeneity (on organizational type, technological ability and target), network relation and open innovation performance, and the relationship is empirically validated by 284 valid questionnaires. The empirical results show that innovation partner heterogeneity and technological ability heterogeneity have an inverted U-shaped relationship with open innovation performance. Target heterogeneity has a negative effect on innovation performance. Moreover, network relation plays an intermediary role in the relationship between innovation partner heterogeneity and innovation performance.

Based on the literature of marketing channel behaviors and taking the relationship between manufacturers and distributors as the research context，this paper introduces social media interaction to the channel power research framework and investigates its moderating effects on the relationship between channel power exercising and channel conflict. By analyzing the data collected from 544 respondents, the empirical research findings show that social media interaction strengthens the positive effect of coercive power exercising on channel conflict, and social media interaction also strengthens the negative effect of non-coercive power exercising on channel conflict.

This paper introduces the concept of consumer vulnerability and builds a nonrational purchase behavior model to improve consumer welfare. On this basis, through the review of the research status of consumer vulnerability, this paper redefines it and develops the consumer vulnerability scale for the first time. The results of exploratory factor analysis and confirmatory factor analysis show that the reliability and validity of the scale are convincing. In addition, the data suitability indices of the first order factor model, as well as the second order factor model are both significant. The scale’s first order factor contains 7 dimensions, namely, product knowledge, product promotion, social pressure, refunds policy, marketing and emotional pressure, distinguish ability, and purchase ability; the second order factor contains two dimensions, which are knowledge-based vulnerability and powerlessness-based vulnerability. The empirical results show that the scale has certain predictive validity for nonrational purchase behavior and consumer welfare.

To ensure the green growth of new ventures and from the perspective of organizational legitimacy, the study tests the impact of environmental ethics on new venture green growth performance and boundary conditions through the questionnaires on 223 new venture by using moderated path analysis and a mediated moderation model. Research results show that environmental ethic has an inverted u-shape effect on new venture green growth performance and the green relational capital shows an indirect mediating role between environmental ethics and new venture green growth performance; environmental scanning moderates the invert-U relationship between environmental ethics and new venture green growth performance, and green relational capital partially mediates the moderating effect of environmental scanning in the invert-U relationship between environmental ethics and new venture green growth performance.

The paper takes enterprise’s donation as key point and makes an empirical test on whether SOEs donation plays a leading role or not to offer effective foundation for the representative valuation of SOEs donation. In the research, the donation that SOEs donate more than private enterprises serves as a docking of demonstration donation. Through the analysis of improvement of philanthropic environment and social learning, the paper finds that SOEs donation plays a leading role, in other words, when SOEs donate more than private enterprises, the phenomenon that private enterprises donate less tends to decrease and it is more profound for those private enterprises which size is small and philanthropic experience is little. Further examination reveals that the lower SOEs’ monopoly is and the lighter policy burdens is, the more the leading role of SOEs donation is weakened when thinking about the difference within private enterprises’ identification and attribution to SOEs donation. Further evidence indicates that using private enterprises donation as a reference, private enterprises can avoid blindness of donation and increase its value effect. The paper throws light for deepening the understanding of leading role and its policy assessment of SOEs more donation.

The paper studies product pricing, the optimal effort level of the designer and coordination of supply chain which consists of a 3D-printing platform and a designer. By establishing both centralized and decentralized decision-making models, we obtain the optimal strategies according to the difference of decision model. The results show that a higher sensitivity to customization forces the designer to improve her effort level, and also raises the product retail price. For a given a cost coefficient, the product price under decentralized decision-making model is higher than under centralized decision-making model only if the consumer customization sensibility is relatively small. Compared with the cost-sharing strategy, two-part tariffs and the revenue sharing strategy can coordinate supply chain, but the progressive revenue sharing strategy becomes a more feasible options.

Focusing on the matching process of supply and demand, this paper develops a multi case study on the demand management practice of fashion enterprises. This research deeply analyzes the connotation and essence of demand chain alignment competence, and explores its effective development strategy. The study shows that the demand chain alignment competence has the characteristics of dynamic capability; based on dynamic capability theory, demand chain alignment competence is disaggregated into demand sensing capacity, demand chain seizing capacity and demand chain reconfiguring capacity, and their nature and micro-foundations are elaborated; this paper put forwards the development strategy of demand chain alignment competence and it is believed that three capabilities must be developed and applied at the same time to establish and maintain competitive advantage.

This paper constructs a research framework of Human Resources Big Data based on different data types and levels of research topics, and further reviews the existing literature from the perspectives of content data, relational data and user behavior data. The results demonstrate that the study of human resource management using big data is still in the primary development stage. The relevant literature mainly focuses on topics at the macro level, such as talent flow, policy evaluation, inter-organizational network, etc. However, research on recruitment, training and performance management at the micro level is not as comprehensive. In view of this, we have given some research directions on human resources with big data.