The role, organisation and contribution of community enterprise to urban regeneration policy in the UK

This monograph investigates the organisation, constitution and delivery of community-based organisations which are normally called community enterprises in the UK. These are organisations which emerge from local communities at the neighbourhood level, work in partnership with the public and private sectors, and provide a range of services to meet social, economic and environmental needs. The main focus of the paper is to explore how these organisations contribute to local regeneration strategies, generate social capital and contribute towards the promotion of civil society in general. The main emphasis is on organisations in England and Wales but comparisons are made with the USA and other countries where relevant literature is available. The key questions to be answered relate to the organisation and management of these bodies; the extent to which they engage with and contribute to local regeneration strategies; and the impact they have particularly in acquiring and managing assets. The diversity of the sector, and the range, scale and level of benefits it can deliver is illustrated through five detailed case studies of community enterprises established at different times, in different geographical locations and with different objectives and funding regimes. But, whilst the UK political economy is moving towards less state intervention and more community self-help, the community development corporations in the USA provide an indication of the future direction community enterprises might take in the UK as part of a broad trend towards civic capacity building.

What is universal and what differs in language development?

Goldin-Meadow (2015) presents an exceptional synthesis of work from studies of children acquiring language under variable circumstances of input or processing abilities. Deaf children who acquire homesign without any well- formed model from which to learn language represent a powerful example. Goldin-Meadow argues that the resilient properties of language that nevertheless emerge include simple syntactic structures, hierarchical organisa- tion, markers modulating the meaning of sentences, and social-communicative functions. Among the fragile or input-dependent properties are the orders that the language follows, the parts into which words are decomposed, and the features that distinguish nominals from predicates. Separation of these two types of properties poses questions concerning the innate constraints on language acquisition (perhaps these equate to the resilient properties) and con‐ cerning the specificity of processes to language (e.g., whether properties such as hierarchical organisation are specific to language or originate in the structure of thought). The study of the resilient properties of human language in the face of adversity and the relation of these properties to the information that is encoded in the human genome represent a research strategy that draws inferences about species universals (properties that all humans share) from data about individual differences (IDs; factors that make humans different from one another). In the following, we suggest three reasons to be cautious about this approach.

Crowdsourcing User-Contributed Solutions to Aerospace Product Development Issues through Micro-Blogging

Revenue and production output of the United Kingdom’s Aerospace Industry (AI) is growing year on year and the need to develop new products and innovative enhancements to existing ranges is creating a critical need for the increased utilisation and sharing of employee knowledge. The capture of employee knowledge within the UK’s AI is vital if it is to retain its pre-eminent position in the global marketplace. Crowdsourcing, as a collaborative problem solving activity, allows employees to capture explicit knowledge from colleagues and teams and also offers the potential to extract previously unknown tacit knowledge in a less formal virtual environment. By using micro-blogging as a mechanism, a conceptual framework is proposed to illustrate how companies operating in the AI may improve the capture of employee knowledge to address production-related problems through the use of crowdsourcing. Subsequently, the framework has been set against the background of the product development process proposed by Maylor in 1996 and illustrates how micro-blogging may be used to crowdsource ideas and solutions during product development. Initial validation of the proposed framework is reported, using a focus group of 10 key actors from the collaborating organisation, identifying the perceived advantages, disadvantages and concerns of the framework; results indicate that the activity of micro-blogging for crowdsourcing knowledge relating to product development issues would be most beneficial during product conceptualisation due to the requirement for successful innovation.