Suchergebnisse

This study investigates the intricate relationship between top management capability, relational capability, technological capability, learning capability, innovation strategy, and innovation performance within the context of high-technology Small and Medium Enterprises (SMEs) in China. Through a synthesis of the Resource-Based View and Dynamic Capability Theory, this research delves into how these diverse capabilities intersect to shape innovation outcomes in a rapidly evolving market landscape. Drawing upon empirical data collected from a comprehensive sample of high-tech SMEs operating across various industries in China, this study examines how top management capability influences the firm's strategic direction and innovation agenda. Furthermore, the research explores the role of relational capability in fostering collaborative relationships with stakeholders, such as customers, suppliers, and partners, to access valuable resources and knowledge for innovation initiatives. Moreover, the study investigates how technological capability enables firms to harness advanced technologies and expertise to drive innovation, while learning capability facilitates the absorption, assimilation, and application of new knowledge and insights to fuel continuous innovation efforts. Through an analysis of innovation strategies adopted by high-tech SMEs and their alignment with dynamic capabilities, this research elucidates the mechanisms through which firms leverage their diverse capabilities to formulate and execute effective innovation strategies, ultimately impacting innovation performance. The findings contribute to both theoretical understanding and practical implications, providing insights for high-tech SMEs in China on how to develop and leverage dynamic capabilities across multiple dimensions to enhance innovation performance and achieve sustainable competitive advantage in today's dynamic business environment.

AbstractAccording to the principle of total entropy change of dissipative structure, the carbon trading market is defined as a nonlinear complex system that follows the law of entropy increase in this paper. Based on the potential function of sudden change theory, this paper studies the risk point and scale of the carbon trading market. The results show that (1) the theory of dissipative structure and catastrophe theory can be used as the theoretical basis of carbon financial market risk research, and its core technology can be used to measure and predict risks. (2) The risk mutation point measurement model based on the total entropy change principle and potential function technology effectively detected 16 major risk mutation points in the financial crisis, the European debt crisis, and the European new energy efficiency plan. The empirical test shows that the model has a good ability to capture abrupt changes and prediction accuracy. The fitting effect is very good. (3) The risk index value of the risk abrupt point can be calculated effectively by the risk scale measurement technique based on information entropy and the potential function surface equation. Furthermore, we judge the degree and grade of risk. From 2008 to 2021, amongst the 16 risk mutation points in the EU carbon trading market, there are three extremely high risk mutation points, seven high-risk mutation points, two medium-risk mutation points, two low-risk mutation points, and two very low risk mutation points. High risk or above grade accounted for 62.5%. Empirical analysis supports this conclusion.

During operation in the sea the reactor natural circulation behaviors are affected by ship rolling motion. The development of an analysis code and the natural circulation behaviors of a reactor simulator under rolling motion are described in this paper. In the case of rolling motion, the primary coolant flow rates in the hot legs and heating channels oscillated periodically, and the amplitude of flow rate oscillation was in direct proportion to rolling amplitude, but in inverse proportion to rolling period. The total mass flow rate also oscillated with half the rolling period, and the average total mass flow rate was less than that in steady state. In the natural circulation under a rolling motion, the flow rate oscillations in the hot legs were controlled by the tangential force; however, the mass flow rate oscillations in the total natural circulation and the heating channels were a result of the combined action of the change of inclination angle, flow resistance, and the extra force arising from the rolling motion. The extra tangential force brought about intense flow rate oscillations in the hot legs, which resulted in increasing total flow resistance; however the extra centrifugal force played a role in increasing thermal driving head.