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Question: From the strategic perspective, what keeps your decision making for all future product, market, or business development on target? Answer: the driving force. This is a description of the classic analytical model in use.

The purpose of this paper is to explore the use of art and architecture by leadership as a driving force to effect change of perception of an organization's identity. While some claim life imitates art, from a management discipline lens the paper aims to state that art imitates life through introduction of a conceptual model.

A literature review of organizational art and architecture, leadership, identity and change is undertaken and synthesized with Lewin's theory and concepts of force field analysis. Case studies from Africa, Europe and the USA are analyzed.

Organizational leadership uses art and architecture as a driving force to effect change in perception of identity. This is exemplified through evaluation of choices in the organizations examined.

This paper establishes a relationship between choices organizational leadership makes on art and architecture and how they can be used as a driving force to effect change in perception of identity and proposes a conceptual model for further study. This model opens potentially several new streams of research in management and organizational change disciplines.

There is a small subset of scholarship and studies in the fields of management and organizational change, with a scant amount focused on choices organizational leadership makes on art and architecture and how they can be used as a driving force to effect change in perception of identity. This paper attempts to initiate further research and empirical studies.

Glass-cleaning robots were developed to perform the difficult, time-consuming and dangerous job of cleaning windows that had traditionally been done by humans. The wiping mechanism is the most important functional component of a glass-cleaning robot, which indirectly affects the design of the adsorption and transport mechanisms. This study aims to compare two types of wiping mechanisms – the drag-wiper and roller-wiper –through an analysis and an actual experiment, providing theoretical and measured data that can be applied to the optimization of the design of future glass-cleaning robots.

The authors undertook a theoretical force and energy consumption analysis of glass-cleaning robots and, based on the obtained results, undertook an analysis the two wiper types. They verified the theoretical analysis by conducting several experiments including studying the relationship between a wiper’s friction force and rotational speed, measuring the contact normal forces of the suckers, wiper and crawlers relative to the glass wall, measuring the energy consumed to drive the robot and studying the relationship between the vacuum pump’s power consumption and the adsorption force. The authors also compared the wiping efficacy of the drag-wiper robot and roller-wiper robot.

The drag-wiper offers the advantages of simplicity while being able to wipe the area around the edge of a window frame. Meanwhile, the use of a roller-wiper not only improves the robot’s driving performance and reduces the required adsorption force but can also reduce the amount of energy consumed to drive both the robot itself and also the vacuum pump; in addition, the roller-wiper is more flexible and energy- and time-efficient when dealing with dirt that is difficult to remove.

This study has, through a detailed analysis of the advantages and disadvantages of a drag-wiper and roller-wiper robot, from the three aspects of force analysis, energy consumption and wiping efficacy, obtained theoretical and measured data that can be applied to the optimization of the design of future industrial and household glass-cleaning robots.

Focuses on a business philosophy, usually labelled efficient consumer response (ECR), applied in the retail industry. Its application in a firm’s current business activities may lead to the achievement of substantial business potentials but there can be problems in its implementation. Explores and describes the perceived potentials and obstacles in the implementation of ECR in the Swedish retail industry and introduces a model of a firm’s driving force to implement and incorporate ECR in its current business activities. A firm’s driving force may be in part analysed, if ECR’s achievable and non‐achievable potentials, as well as ECR’s probable and non‐probable obstacles, are simultaneously taken into consideration. Furthermore, a model is introduced in order to analyse the driving force of a business philosophy in a specific firm. The models may be applicable also in the context of classifying, measuring, and evaluating a firm’s driving force to implement and incorporate any other business philosophy.

Innovation plays a pivotal role in a national economy and in the research and development of science and technology. Because the elements, capability and development direction of innovation in various countries are dissimilar, national innovative capacity also varies by country. However, previous studies have predominantly measured national innovative capacity through empirical studies by using a single index of innovation output, ignoring that the forms of innovation are heterogeneous across countries and failing to examine the influence exerted by various innovation models on economic development. Thus, the purpose of this study is to fill this gap by using scientific driving force and technological driving force to present the influence of national innovative capacities on economic development.

This study used regression models to test the influence of different national innovative capacities (i.e. scientific and technological driving forces) on economic development and stability.

Using the data of 60 countries, this study determined that both scientific and technological driving forces influenced economic development; specifically, scientific driving force affected economic development through technological driving force. Moreover, both research paper quality and patent quality positively influenced economic stability, but patent quality was the mediator.

This study examined scientific output from both quantitative and qualitative perspectives to determine their influence on economic growth and particularly on economic stability, which lacks dedicated studies. This study strives to bridge this gap in the literature by asserting, from the concept of economic resilience, that high-quality science and technology can strengthen the stability of a country’s economy.

Posture adjustment plays an important role in spacecraft manufacturing. The traditional posture adjustment method, which has a large workload and is difficult to guarantee the quality of posture adjustment, cannot meet the requirements of modern spacecraft manufacturing. This paper aims to optimize the trajectory of posture adjustment, reduce the internal force of the posture adjustment mechanism and improve the accuracy of the system.

First, the measuring point is measured by a laser tracker and the position and posture of the cabin is solved. Then, Newton–Euler method is used to construct the dynamic model of the posture adjustment system (PAS) without internal force. Finally, the adjustment time is optimized based on Fibonacci search method and the trajectory of the cabin is fitted by the fifth order polynomial.

The simulation results show that, compared with the other trajectory planning methods, this method can effectively avoid the internal force of posture adjustment caused by redundant driving, and the trajectory of velocity and acceleration obtained are continuous, meeting the engineering constraints.

In this paper, a dynamic model of PAS without internal force is constructed. The trajectory planning of posture adjustment based on this model can improve the quality of cabin assembly.

The purpose of this study is to propose a torque vectoring control system for improving the handling stability of distributed drive electric buses under complicated driving conditions. Energy crisis and environment pollution are two key pressing issues faced by mankind. Pure electric buses are recognized as the effective method to solve the problems. Distributed drive electric buses (DDEBs) as an emerging mode of pure electric buses are attracting intense research interests around the world. Compared with the central driven electric buses, DDEB is able to control the driving and braking torque of each wheel individually and accurately to significantly enhance the handling stability. Therefore, the torque vectoring control (TVC) system is proposed to allocate the driving torque among four wheels reasonably to improve the handling stability of DDEBs.

The proposed TVC system is designed based on hierarchical control. The upper layer is direct yaw moment controller based on feedforward and feedback control. The feedforward control algorithm is designed to calculate the desired steady-state yaw moment based on the steering wheel angle and the longitudinal velocity. The feedback control is anti-windup sliding mode control algorithm, which takes the errors between actual and reference yaw rate as the control variables. The lower layer is torque allocation controller, including economical torque allocation control algorithm and optimal torque allocation control algorithm.

The steady static circular test has been carried out to demonstrate the effectiveness and control effort of the proposed TVC system. Compared with the field experiment results of tested bus with TVC system and without TVC system, the slip angle of tested bus with TVC system is much less than without TVC. And the actual yaw rate of tested bus with TVC system is able to track the reference yaw rate completely. The experiment results demonstrate that the TVC system has a remarkable performance in the real practice and improve the handling stability effectively.

In view of the large load transfer, the strong coupling characteristics of tire , the suspension and the steering system during coach corning, the vehicle reference steering characteristics is defined considering vehicle nonlinear characteristics and the feedforward term of torque vectoring control at different steering angles and speeds is designed. Meanwhile, in order to improve the robustness of controller, an anti-integral saturation sliding mode variable structure control algorithm is proposed as the feedback term of torque vectoring control.

This paper aims to propose a dynamic parameter identification method based on sensitivity analysis for the 5-degree of freedom (DOF) hybrid robots, to solve the problems of too many identification parameters, complex model, difficult convergence of optimization algorithms and easy-to-fall into a locally optimal solution, and improve the efficiency and accuracy of dynamic parameter identification.

First, the dynamic parameter identification model of the 5-DOF hybrid robot was established based on the principle of virtual work. Then, the sensitivity of the parameters to be identified is analyzed by Sobol’s sensitivity method and verified by simulation. Finally, an identification strategy based on sensitivity analysis was designed, experiments were carried out on the real robot and the results were verified.

Compared with the traditional full-parameter identification method, the dynamic parameter identification method based on sensitivity analysis proposed in this paper converges faster when optimized using the genetic algorithm, and the identified dynamic model has higher prediction accuracy for joint drive forces and torques than the full-parameter identification models.

This work analyzes the sensitivity of the parameters to be identified in the dynamic parameter identification model for the first time. Then a parameter identification method is proposed based on the results of the sensitivity analysis, which can effectively reduce the parameters to be identified, simplify the identification model, accelerate the convergence of the optimization algorithm and improve the prediction accuracy of the identified model for the joint driving forces and torques.

The purpose of this paper is to determine the effect of individual and organizational dimensions on creating the resistance to change according to the role of unlearning and knowledge stickiness in merging of libraries as planned change.

Borrowing from the Lewin’s field theory, knowledge stickiness theory and unlearning the framework of planned change process designed. The paper opted for a survey study using the questionnaire, five depth interviews and focus group discussion with librarians, middle and senior managers.

The paper provides empirical insights about pattern of planned change in the Ferdowsi University of Mashhad library. The role of knowledge stickiness and unlearning factors associated with process of planned change. It suggests that successful change act as overcoming forces of unlearning to knowledge stickiness on two dimensions: individual and organizational.

Because of the chosen research case, the research results may lack statistical generalizability. Therefore, researchers are encouraged to test the proposed propositions further.

The importance of managing obsolescence knowledge in individual and organizational dimensions in process of planned change is highlighted as managerial point of view.

The corporate planner needs a foundation from which to coordinate short and long range planning operations. This foundation is the organization's statement of strategy. Underlying the strategy, an organization must still have a unifying concept. We call this theme the driving force, and we have found that it propels every strategic program.