The interplay of uncertainty, structure and trust on the diffusion of management accounting and control systems: An agent based modeling approach

This study attempts to investigate the interplay of uncertainty, structure and trust on the diffusion of a subset of management information systems, namely management accounting and control systems. The article suggests that under conditions of uncertainty, trust and structure are significantly associated with the success of the implementation process. On the other hand, the importance of trust and structure is less significant when the management accounting and control system is not perceived as threatening to organizational actors. The study draws on social network theory and proposes an agent based modeling approach to study the interplay of uncertainty, trust and structure on the diffusion process.

Learning Articulated Motions From Visual Demonstration

Many functional elements of human homes and workplaces consist of rigid components which are connected through one or more sliding or rotating linkages. Examples include doors and drawers of cabinets and appliances; laptops; and swivel office chairs. A robotic mobile manipulator would benefit from the ability to acquire kinematic models of such objects from observation. This paper describes a method by which a robot can acquire an object model by capturing depth imagery of the object as a human moves it through its range of motion. We envision that in future, a machine newly introduced to an environment could be shown by its human user the articulated objects particular to that environment, inferring from these "visual demonstrations" enough information to actuate each object independently of the user. Our method employs sparse (markerless) feature tracking, motion segmentation, component pose estimation, and articulation learning; it does not require prior object models. Using the method, a robot can observe an object being exercised, infer a kinematic model incorporating rigid, prismatic and revolute joints, then use the model to predict the object's motion from a novel vantage point. We evaluate the method's performance, and compare it to that of a previously published technique, for a variety of household objects.Comment: Published in Robotics: Science and Systems X, Berkeley, CA. ISBN: 978-0-9923747-0-

The importance of key supplier relationship management in supply chains

Purpose: This paper investigates the impact of key supplier relationship management (KSRM) – understood as an aggregated supply chain management (SCM) process in the upstream direction – on the overall level of the execution of SCM within organizations. Methodology: A conceptual model is developed from a theoretical framework and proposes the capability to do KSRM as a mediator between internal and external SCM resources and SCM execution. A survey of 174 managers representing different supply chain stages is used to test the model through variance-based structural equation modelling. Findings: The findings reveal that external SCM resources directly affect the capability to do KSRM. Nevertheless, internal resources show a considerable indirect impact through external resources and can thus be considered an indirect determinant. The capability to do KSRM in turn impacts upon the level of SCM execution, measured in terms of the integration of business processes, directly and substantially, as well as mediating the effect between SCM resources and the level of SCM execution. Value: The main contribution of this paper is to empirically demonstrate the potential of KSRM for enhancing the level of SCM execution within organizations and consequently the level of integration in supply chains, leading to higher customer and shareholder value