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The emergence of distributed manufacturing (DM) is examined as a new form of localised production, distinct from previous manifestations of multi-domestic and indigenous production.

Supply network (SN) configuration and infrastructural provisioning perspectives were used to examine the literature on established localised production models as well as DM. A multiple case study was then undertaken to describe and explore the DM model further. A maximum variation sampling procedure was used to select five exemplar cases.

Three main contributions emerge from this study. First, the research uniquely brings together two bodies of literature, namely SN configuration and infrastructure provisioning to explore the DM context. Second, the research applies these theoretical lenses to establish the distinctive nature of DM across seven dimensions of analysis. Third, emerging DM design rules are identified and compared with the more established models of localised production, drawing on both literature and DM case evidence.

This study provides a rich SN configuration and infrastructural provisioning view on DM leading to a set of design rules for DM adoption, thus supporting practitioners in their efforts to develop viable DM implementation plans.

The authors contribute to the intra- and inter-organisational requirements for the emerging DM context by providing new perspectives through the combined lenses of SN configuration and infrastructural provisioning approaches.

The COVID-19 pandemic has impacted the functioning of education systems in a multitude of ways. In Ireland schools closed on March 12th and remained closed for the remainder of the academic year. During this time educators engaged with students, families and colleagues in new and diverse ways. The purpose of this study was to explore educators' experiences during the closures, particularly regarding the impact of the pandemic on the wellbeing of students, school staff and wider school communities.

A series of one-to-one interviews, lasting approximately one hour, were conducted in July 2020 with 15 education professionals online via Zoom or Microsoft Teams. Participants occupied various roles (classroom teacher, school leader, special educational needs coordinator, etc.) and worked in a diverse range of communities in Ireland. Qualitative data from interviews were transcribed and emergent themes identified through an inductive followed by deductive analytic approach.

The interviews highlighted the central role that schools play in supporting their local communities and the value teachers place on their relationships with students and families. Many teachers and school leaders found themselves grappling with new identities and professional boundaries as they worked to support, care for and connect with the students and families they serve. There was considerable concern expressed regarding the plight of vulnerable or marginalised students for whom the school ordinarily offered a place of safety and security.

The findings reveal how COVID-19 has exacerbated pre-existing inequalities and the central role of schools in promoting the health and wellbeing of all its members.

The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed.

To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization.

Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study.

Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.