Fad, fashion and "t: An examination of quality circles, business process re-engineering and statistical process control

Abstract This paper reports the major "ndings of a literature-based study which has examined the extent or otherwise to which quality circles (QCs), business process re-engineering (BPR) and statistical process control (SPC) follow the path of fad, fashion and "t. The "ndings indicate that QCs exhibit boundary conditions between the fad and fashion stages, BPR is in the fad phase, and it was dicult to position SPC using the methodology employed in the study. In tracking the development of management initiatives, from fad through fashion to "t the literature was evaluated using the six-stage model developed by Van der Wiele (Beyond Fads, Eburon, Rotterdam, 1998); however, some diculties were encountered due to the lack of de"nition precision, in particular that of fashion. The methodology used to assess the literature in terms of the degree to which the paper describing each initiative represented fad, fashion or "t conditions was relatively successful and this is detailed

Stimulating the innovation potential of 'routine' workers through workplace learning

Governments worldwide seek to upgrade the ‘basic skills' of employees deemed to have low literacy and numeracy, in order to enable their greater productivity and participation in workplace practices. A longitudinal investigation of such interventions in the United Kingdom has examined the effects on employees and on organizations of engaging in basic skills programmes offered in and through the workplace. ‘Tracking’ of employees in selected organizational contexts has highlighted ways in which interplay between formal and informal workplace learning can help to create the environments for employees in lower grade jobs to use and expand their skills. This workplace learning is a precondition, a stimulus and an essential ingredient for participation in employee-driven innovation, as workers engage with others to vary, and eventually to change, work practices. © 2010, SAGE Publications. All rights reserved

Learning to rebel

Background: As a response to collective failure to move adequately towards sustainability, youth movements have grown. This article explores the experiences of one young climate activist, Elsie Luna. The article is the product of conversations between the co-authors, augmented by written material by Elsie Luna. The article seeks to avoid adultism, that is, the power that adults have over children; hence it is written principally using Elsie’s own words, with minimal translation or interpretation. The article reflects on three key recent events in Elsie Luna’s activism: her approach to the London headquarters of several oil companies; her ‘dying’ symbolically at the BBC in Berlin; and her recent involvement in the large Extinction Rebellion actions in London. Findings: The article suggests that these events offer insights on learning. Specifically, she is formulating views on sustainability, on system change and associated strategies, and developing a moral position on these matters. She has learned socially, from family and other immediate influences, and from activism. Thus, further, she has learned from experience, but has done so in her own self-managed way

Drugst.One -- A plug-and-play solution for online systems medicine and network-based drug repurposing

In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerged to identify potential drug repurposing candidates. However, these tools often require complex installation and lack intuitive visual network mining capabilities. To tackle these challenges, we introduce Drugst.One, a platform that assists specialized computational medicine tools in becoming user-friendly, web-based utilities for drug repurposing. With just three lines of code, Drugst.One turns any systems biology software into an interactive web tool for modeling and analyzing complex protein-drug-disease networks. Demonstrating its broad adaptability, Drugst.One has been successfully integrated with 21 computational systems medicine tools. Available at https://drugst.one, Drugst.One has significant potential for streamlining the drug discovery process, allowing researchers to focus on essential aspects of pharmaceutical treatment research.Comment: 45 pages, 6 figures, 7 table