Manchester Metropolitan University

About: Manchester Metropolitan University is a education organization based out in Manchester, Manchester, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 5435 authors who have published 16202 publications receiving 442561 citations. The organization is also known as: Manchester Polytechnic & MMU.

Innocents abroad: Western fantasies of childhood and the iconography of emergencies.

Abstract: In this paper I explore the emotional interests maintained by the imagery of children used in Third World emergencies. Boundaries between adult and child are reproduced through relations of paternalism between North and South, such that the infantilisation of the South exemplified in imagery of children works to secure the competence and maturity of the Northern donor. Drawing on both analyses of the cultural origins and meanings of concepts of childhood and psychoanalytic perspectives, I suggest that media coverage of disasters arouses both identification and strategies to ward off and protect from the anxiety this brings. The gendered as well as geographical distribution of qualities of children's innocence and experience are discussed, drawing on both general imagery of children and recent coverage of children and child-saving, particularly in the former Yugoslavia. Developing analyses of 'disaster pornography', the paper explores how children appear as the principal focal objects onto which attention is pinned and as the signifiers of distress. This is at the cost of dehumanizing both children, their families and their cultures, and rendering them passive objects of a western gaze which seeks to confirm its own agency and omnipotence to ward off its own insecurities. While aid organisations and campaigns necessarily engage with, and sometimes collude with, these reactions, the paper ends by suggesting that there may be strategies whereby images of children can function to comment on rather than maintain prevailing colonial and paternalistic relations.

Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT

Abstract: Edge computing provides a promising paradigm to support the implementation of Industrial Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited machine-type devices (MTDs) to powerful edge servers. However, the performance gain of edge computing may be severely compromised due to limited spectrum resources, capacity-constrained batteries, and context unawareness. In this article, we consider the optimization of channel selection that is critical for efficient and reliable task delivery. We aim at maximizing the long-term throughput subject to long-term constraints of energy budget and service reliability. We propose a learning-based channel selection framework with service reliability awareness, energy awareness, backlog awareness, and conflict awareness, by leveraging the combined power of machine learning, Lyapunov optimization, and matching theory. We provide rigorous theoretical analysis, and prove that the proposed framework can achieve guaranteed performance with a bounded deviation from the optimal performance with global state information (GSI) based on only local and causal information. Finally, simulations are conducted under both single-MTD and multi-MTD scenarios to verify the effectiveness and reliability of the proposed framework.

Conceptualizing the learning process in SMEs: improving innovation through external orientation

Abstract: Most attempts to model the process of organizational learning (OL) are based on large organizations. This article represents an attempt to better understand the unique learning processes in small and medium-sized enterprises (SMEs). Such firms are generally limited in both their managerial capabilities and mechanisms for accessing knowledge from external sources. Data were obtained as part of an ongoing Economic and Social Research Council (ESRC) project concerned with the evolution of business knowledge in small firms operating in the North West of England. A conceptual framework was developed and used as the basis for analysing data obtained from interviews with 26 owner-managers. Our findings indicate two distinct groups, which we term innovative and stable firms. Owner-managers in ‘stable’ firms were inward facing, and learning was generally experiential and concentrated on single individuals or small groups. In contrast, owner-managers in innovative firms were outward facing and encouraged the development of ‘deeper and wider’ learning.