Innovative leadership and innovation-oriented human resource management practices(HRMPs)are soft and hard measures,respectively,that promote team innovation performance(TIP).This study is based on human capital theory...Innovative leadership and innovation-oriented human resource management practices(HRMPs)are soft and hard measures,respectively,that promote team innovation performance(TIP).This study is based on human capital theory,integrating the leadership process model and the content-process-results framework of HRM(HRM-CPO),and using data from 259 teams and 1,278 employees in leader-subordinate pairs.Results show that team human capital(THC)is an important mediator in explaining the impact of introducing innovation-oriented practices on TIP.In addition,innovative leadership can improve THC by increasing the level of implemented innovation-oriented HRMPs,thereby affecting TIP.The study extends the level at which HRMPs and leadership behaviors work together and responds to the call for integration of two major research fields of HRM and leadership behavior.展开更多
This study is dedicated to the development of a direct optimal control-based algorithm for trajectory optimization problems that accounts for the closed-loop stability of the trajectory tracking error dynamics already...This study is dedicated to the development of a direct optimal control-based algorithm for trajectory optimization problems that accounts for the closed-loop stability of the trajectory tracking error dynamics already during the optimization.Consequently,the trajectory is designed such that the Linear Time-Varying(LTV)dynamic system,describing the controller’s error dynamics,is stable,while additionally the desired optimality criterion is optimized and all enforced constraints on the trajectory are fulfilled.This is achieved by means of a Lyapunov stability analysis of the LTV dynamics within the optimization problem using a time-dependent,quadratic Lyapunov function candidate.Special care is taken with regard to ensuring the correct definiteness of the ensuing matrices within the Lyapunov stability analysis,specifically considering a numerically stable formulation of these in the numerical optimization.The developed algorithm is applied to a trajectory design problem for which the LTV system is part of the path-following error dynamics,which is required to be stable.The main benefit of the proposed scheme in this context is that the designed trajectory trades-off the required stability and robustness properties of the LTV dynamics with the optimality of the trajectory already at the design phase and thus,does not produce unstable optimal trajectories the system must follow in the real application.展开更多
文摘Innovative leadership and innovation-oriented human resource management practices(HRMPs)are soft and hard measures,respectively,that promote team innovation performance(TIP).This study is based on human capital theory,integrating the leadership process model and the content-process-results framework of HRM(HRM-CPO),and using data from 259 teams and 1,278 employees in leader-subordinate pairs.Results show that team human capital(THC)is an important mediator in explaining the impact of introducing innovation-oriented practices on TIP.In addition,innovative leadership can improve THC by increasing the level of implemented innovation-oriented HRMPs,thereby affecting TIP.The study extends the level at which HRMPs and leadership behaviors work together and responds to the call for integration of two major research fields of HRM and leadership behavior.
基金supported in part by the TUM University Foundation Fellowshipin part by the German Federal Ministry for Economic Affairs and Energy(BMWi)within the Federal Aeronautical Research Program LuFo V-3 through Project“HOTRUN”(No.20E1720A)。
文摘This study is dedicated to the development of a direct optimal control-based algorithm for trajectory optimization problems that accounts for the closed-loop stability of the trajectory tracking error dynamics already during the optimization.Consequently,the trajectory is designed such that the Linear Time-Varying(LTV)dynamic system,describing the controller’s error dynamics,is stable,while additionally the desired optimality criterion is optimized and all enforced constraints on the trajectory are fulfilled.This is achieved by means of a Lyapunov stability analysis of the LTV dynamics within the optimization problem using a time-dependent,quadratic Lyapunov function candidate.Special care is taken with regard to ensuring the correct definiteness of the ensuing matrices within the Lyapunov stability analysis,specifically considering a numerically stable formulation of these in the numerical optimization.The developed algorithm is applied to a trajectory design problem for which the LTV system is part of the path-following error dynamics,which is required to be stable.The main benefit of the proposed scheme in this context is that the designed trajectory trades-off the required stability and robustness properties of the LTV dynamics with the optimality of the trajectory already at the design phase and thus,does not produce unstable optimal trajectories the system must follow in the real application.
