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Learning and development occur in many spaces both within and outside formal education settings. This chapter explores progress and possibilities of a knowledge exchange programme with a third sector organisation involved with community development, playwork and youth work in an urban area of the East Midlands. Theoretical concepts draw on a growing international interest in intergenerational play (Graves, 2002) and ‘cultural circles’ (Gill, 2020) as a method of challenging power and communication barriers between practitioners and families from diverse ethnic backgrounds. Using Foucault, post-structuralist feminism and autoethnography, as well as insight from a knowledge exchange partnership – the chapter offers a critique of a national initiative aimed at addressing ‘holiday hunger’ and community engagement. Practitioners in international contexts may benefit from the chapter’s attempt to address a series of co-constructed questions that include:

1. How do we raise the profile of children’s play as a non-negotiable starting point for universal service provision to children and young people?

2. What can be done to ‘connect’ diverse communities living in close proximity and sharing amenities within urban areas?

3. How can we celebrate differences whilst designing universal services, which promote social cohesion through play and leisure spaces?

How do we raise the profile of children’s play as a non-negotiable starting point for universal service provision to children and young people?

What can be done to ‘connect’ diverse communities living in close proximity and sharing amenities within urban areas?

How can we celebrate differences whilst designing universal services, which promote social cohesion through play and leisure spaces?

This paper aims to assess the behavioural intention of construction organisations to use unmanned aerial vehicles (UAVs) in the delivery of construction projects. Using the unified theory of technology adoption and use of technology (UTAUT) model, the study strives to improve project delivery by adopting beneficial digital technologies.

The study adopted a postpositivism philosophical stance through a quantitative research approach using a structured questionnaire administered to construction organisations in South Africa. Primary data gathered was analysed using frequency, percentage, mean item score, Mann–Whitney U-test and confirmatory factor analysis, where the latter sought to deductively confirm the variables within the UTAUT model.

Construction organisations were found to rarely use UAVs in the country and furthermore, most of the participating organisations are unsure about using UAVs for their project delivery. Factors impacting on an organisation’s intention to use UAVs were identified as social influence, performance expectancy, effort expectancy and facilitating conditions. However, factors surrounding resistance to using and perceived risk cannot be overlooked as they also proved to be significant (at p = 0.05) to the behavioural intention of organisations to use UAVs.

Practical guidance for industry practitioners is offered in terms of insight into the key factors that must be considered for the effective utilisation of UAVs and the realisation of concomitant benefits.

This study bridges the knowledge gap in extant literature by exploring the practitioner’s behavioural intention to use UAVs. As an aside, an emergent theoretical backdrop for future works on UAVs is provided (particularly in developing countries where such a study has not been previously explored).

This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.

To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.

The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.

Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.

This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.