Intra and Interorganizational Learning Networks and the Implementation of Quality Improvement Initiatives: The Case of a Portuguese Teaching Hospital

Learning has an important position in the development of employees and their expertise. This article focuses on the role and utilization of intra and interorganizational formal and informal learning within different types of learning networks. Specifically, we investigate different types of networks (inter- or intraorganizational) and different types of learning (formal or informal) that can occur within such networks. Our qualitative case study is based on 46 expert interviews involving 49 interviewees, through which we explore how formal and informal learning was used in the development and implementation of quality improvement initiatives at a large public teaching hospital in Portugal. Our analysis suggests that formal and informal learning can take place within different types of learning networks that draw on internal resources as well as on the collaboration with external entities. The article argues that it is important for HRD managers, seeking to support organizational learning, to understand how different types of learning take place, and which features of learning networks support these processes.

Simultaneous remote haptic collaboration for assembling tasks

Stand-alone virtual environments (VEs) using haptic devices have proved useful for assembly/disassembly simulation of mechanical components. Nowadays, collaborative haptic virtual environments (CHVEs) are also emerging. A new peer-to-peer collaborative haptic assembly simulator (CHAS) has been developed whereby two users can simultaneously carry out assembly tasks using haptic devices. Two major challenges have been addressed: virtual scene synchronization (consistency) and the provision of a reliable and effective haptic feedback. A consistency-maintenance scheme has been designed to solve the challenge of achieving consistency. Results show that consistency is guaranteed. Furthermore, a force-smoothing algorithm has been developed which is shown to improve the quality of force feedback under adverse network conditions. A range of laboratory experiments and several real trials between Labein (Spain) and Queen’s University Belfast (Northern Ireland) have verified that CHAS can provide an adequate haptic interaction when both users perform remote assemblies (assembly of one user’s object with an object grasped by the other user). Moreover, when collisions between grasped objects occur (dependent collisions), the haptic feedback usually provides satisfactory haptic perception. Based on a qualitative study, it is shown that the haptic feedback obtained during remote assemblies with dependent collisions can continue to improve the sense of co-presence between users with regard to only visual feedback.