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The purpose of this paper is to explore the ways to encourage members in QQ knowledge-communication groups to persistently share knowledge in terms of contexts and autonomous motivations.

Based on self-determination theory, three important contextual factors of QQ knowledge-communication groups were selected as exogenous variables and three typical autonomous motivations as mediating variables to construct a knowledge-sharing model. Internet questionnaire surveys and data collection were conducted to test proposed hypotheses by means of structural equation modeling with AMOS.

Reciprocity, learning, and altruism have significant positive influence on persistent sharing willingness, and the degree to which each factor influences persistent sharing willingness differs considerably. Autonomy support, perceived usefulness, and relatedness support have no significantly direct influence on persistent sharing willingness, but they indirectly influence the persistent sharing behaviors by the mediating effect of different autonomous motivations.

This study contributes theoretically and practically. First, the results suggest that a particular motivation in different contexts has a different degree of autonomy. In addition, explanations are offered for the phenomenon that suggest that controlled motivations directly affect autonomous motivations. It was found that the contextual factors of competence support and relatedness support also have influence on different autonomous motivations, and hence encourage knowledge-sharing behaviors. Specific suggestions for QQ group managers and information seekers are proposed.

The problem of manufacturer-customer relationships is becoming the key factor of enterprise development, and the contradiction between manufacturer’s objective and customer’s satisfaction still exists. Customers claim for product safety from manufacturers, so manufacturers should take corporate social responsibility (CSR) into their company philosophy or even enhance the degree of CSR during their production. The purpose of this paper is to investigate the influences of parameters on the stability of risk-averse complementary product manufacturers.

In this study, three dynamic game models are developed: manufacturer 1 – leader Stackelberg game model, manufacturer 2 – leader Stackelberg game model and Nash game model. Using bifurcation diagrams, the largest Lyapunov exponent, 0-1 test for chaos and parameter basin plots, the influences of parameters on the complex behaviors of the three models are analyzed.

The authors demonstrate that the system exists in deterministic chaos when the parameter exceeds a certain value. The lead manufacturer will not be a beneficiary in chaotic state, and when two manufacturers have the same status the stability of the system weakens, which renders it easily chaotic.

In this paper, the authors make some assumptions, which when applied broadly could lead to some findings.

The authors find that the lead manufacturer will derive the greatest profit and will exert the least effort compared with the follower manufacturer, but that both manufacturers will exert greater effort in the Nash game. The two manufacturers should be cautious while selecting the parameter ' s value so that the stability of the system is maintained.

The research will serve as a guide for the two complementary manufacturers in their decision-making process.

The originality and value of the research rest on the use of dynamic thinking in ensuring stability in the quality of complementary products considering the firms’ market powers. The research will serve as a guide for the two complementary manufacturers in their decision-making process.