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The purpose of the paper is to present and critically discuss the findings of the ESRC-funded HS2020 project. The aim is to discuss the retail-led change that has happened to the High Streets that participated to the project that, in some cases, is revolutionary and is leading to the reinvention of the place. To do so reference is made to various retail change theories discussing both institutional and consumer-led change.

This is a discussion paper on the findings of the HS2020 project.

The major finding reported in this paper is that the reinvention is a natural learning process that involves the comprehension of change and the development of knowledge that will lead to the reinvention of the High Street.

The findings of the research are based on data that were collected from a total of ten towns across the UK.

The paper suggests that to reinvent the High Street the stakeholders that are involved in the place decision-making processes they should embrace the change as a natural development and try to understand and learn from it rather than resisting to it. The HS2020 project provides a comprehensive guide of the areas that change can be managed and if it happens it can facilitate the reinvention.

The paper is relevant to the academic community, as it offers insight to the theories of retail change, and to the practitioners, as it provides evidence as to how to deal with the change that happens to the High Streets.

Studies on the Transit-Oriented Development (TOD) for Bangkok are found sparingly. The TOD concept is a supportive development for the rapidly changing city in order to reduce urban transport problems while encouraging people to shift transport modes to use public transportations instead of private cars. This study discusses the context of TOD in the density, the design, and the diversity of land use around transit stations among successful stations in many countries. There were 18 station areas in Bangkok which, by using the TOD Readiness score, the assessment of the stations implies that the higher scoring transit stations are more compatible to supporting pedestrian use of the transit station with lower car dependency. The 4 top-scoring stations were assessing by using multinomial logistic regression model. The study has found TOD scores and the frequent uses of the stations consequently encourage the commuters around the station areas decided to rely on public transport instead of car dependency. This is an effort to overcome the understanding of the station areas by reducing the complexity of the TOD contexts to any transit station in Thailand to be eligible for future study.

The purpose of this paper is to document the results and the impact of the ESRC-funded High Street UK 2020 (HSUK2020), a project designed to take the existing academic knowledge relating to retail and high street change directly to UK High Streets, to improve local decision-making and, ultimately, their vitality and viability.

Through a systematic literature review, and by following the tenets of engaged scholarship, the authors identified 201 factors that influence the vitality and viability of town centres. Through the consensus-building Delphi technique, a panel of 20 retail experts identified the top 25 priorities for action.

Taking a place management approach led to the development of a more strategic framework for regeneration, which consisted of repositioning, reinventing, rebranding and restructuring strategies (4R’s of regeneration). Collaboration with the project towns resulted in identification of the strategy area that would add the most value, and the impact of the 4R’s and the top 25 priorities is demonstrated via numerous town examples.

Knowledge exchange projects, such as High Street UK2020, have an important contribution to make, not by developing even more theory that is unlikely to get utilised, instead their contribution is to bring existing theory into practical use.

Immunization is one of the most cost-effective ways to save lives while promoting good health and happiness. The coronavirus disease 2019 (COVID-19) pandemic has served as a stark reminder of vaccines' ability to prevent transmission, save lives, and have a healthier, safer and more prosperous future. This research investigates the sustainable development (SD) of the COVID-19 vaccine supply chain (VSC).

This study investigates the relationship between internal process, organizational growth, and its three pillars of SD environmental sustainability, economic sustainability and social sustainability. Survey-based research is carried out in the hospitals providing COVID-19 vaccines. Nine hypotheses are proposed for the study, and all the hypotheses got accepted. The survey was sent to 428 respondents and received 291 responses from health professionals with a response rate of 68%. For the study, the healthcare professionals working in both private and public hospitals across India were selected.

The structural equation modelling (SEM) approach is used to test the hypothesis. All nine hypotheses are supported. This study examines a link between internal processes and organizational learning and the three sustainability pillars (environmental sustainability, economic sustainability and social sustainability).

This study will help the management and the policymakers to think and adopt SD in the COVID-19 VSC. This paper also implies that robust immunization systems will be required in the future to ensure that people worldwide are protected from COVID-19 and other diseases.

This paper shows the relationship between organizational learning and internal process with environmental sustainability, economic sustainability and social sustainability for the COVID-19. Studies on VSC of COVID-19 are not evident in any previous literature.

The purpose of this study was to identify and describe how students experience academic coaching in higher education in Norway.

The study employed a descriptive and exploratory qualitative design where semi-structured interviews formed the basis for data collection. Thematic analysis was used as an analytic strategy to identify, organise and find patterns or themes that emerged from the data.

The findings showed that academic coaching positively influenced the respondents' ability to identify the necessary and efficient cognitive processes and metacognitive skills needed to cope with everyday scholastic challenges. Academic coaching affected the respondents' metacognitive skills and cognitive processes in terms of evolving their self-efficacy, self-awareness, self-regulation, motivation, stress identification, goal identification, goal setting and development of new strategies.

The findings in this study reflect the respondents' subjective opinions and further research is needed to validate these findings.

This article addresses a gap in the field of research by offering a descriptive pilot study and thematic analysis of students' experiences with academic coaching in Norway.

Unforeseen events can disrupt the operational process and negatively impact emergency resources optimization and its supply chain. A limited number of studies have addressed risk management issues in the context of emergency supply chains, and this existing research lacks inbuilt and practical techniques that can significantly affect the reliability of risk management outcomes. Therefore, this paper aims to identify and practically analyze the specific risk factors that can most likely disrupt the normal functioning of the emergency supply chain in disaster relief operations.

This paper has used a three-step process to investigate and evaluate risk factors associated with the emergency supply chain. First, the study conducts a comprehensive literature review to identify the risk factors. Second, the research develops a questionnaire survey to validate and classify the identified risk factors. At the end of this step, the study develops a hierarchical structure. Finally, the research investigates the weighted priority of the validated risk factors using the fuzzy-analytical hierarchy process (FAHP) methodology. Experts were required to provide subjective judgments.

This paper identified and validated 28 specific risk factors prevalent in emergency supply chains. Based on their contextual meanings, the research classified these risk factors into two main categories: internal and external risk factors; four subcategories: demand, supply, infrastructural and environmental risk factors; and 11 risk types: forecast, inventory, procurement, supplier, quality, transportation, warehousing, systems, disruption, social and political risk factors. The most significant risk factors include war and terrorism, the absence of legislative rules that can influence and support disaster relief operations, the impact of cascading disasters, limited quality of relief supplies and sanctions and constraints that can hinder stakeholder collaboration. Therefore, emergency supply chain managers should adopt appropriate strategies to mitigate these risk factors.

This study will contribute to the general knowledge of risk management in emergency supply chains. The identified risk factors and structural hierarchy taxonomic diagram will provide a comprehensive risk database for emergency supply chains.

The research findings will provide comprehensive and systemic support for respective practitioners and policymakers to obtain a firm understanding of the different risk categories and specific risk factors that can impede the effective functioning of the emergency supply chain during immediate disaster relief operations. Therefore, this will inform the need for the improvement of practices in critical aspects of the emergency supply chain through the selection of logistics and supply chain strategies that can ensure the robustness and resilience of the system.

This research uses empirical data to identify, categorize and validate risk factors in emergency supply chains. This study contributes to the theory of supply chain risk management. The study also adopts the fuzzy-AHP technique to evaluate and prioritize these risk factors to inform practitioners and policymakers of the most significant risk factors. Furthermore, this study serves as the first phase of managing risk in emergency supply chains since it motivates future studies to empirically identify, evaluate and select effective strategies that can eliminate or minimize the effects of these risk factors.

Exposure to unhealthy lifestyle behaviours before pregnancy affects the health of mothers and their (unborn) children. A social marketing strategy could empower prospective parents to actively prepare for pregnancy through preconception care (PCC). This study aims to describe the development of a PCC social marketing strategy based on the eight-point benchmark criteria for effective social marketing and to clarify the concept of using social marketing for health promotion purposes.

An extensive literature search was carried out regarding the needs of the target population and PCC behavioural goals, leading to the development of a bottom-up, ambassador-driven, communication concept.

In-depth insights of all benchmarks were analysed and incorporated during the development process of a new PCC social marketing strategy, with a special focus on the application of the “Health Belief Model” (Benchmark 3) and “the Four-P framework” (Benchmark 8). Evidence-based preconceptional health information is our product, for a low price as the information is freely attainable, promoting a message of overall women‘s health and online or through a consult with a health-care provider as the appropriate place. This formative research resulted in the development of the Woke Women® strategy, empowering women to actively prepare for pregnancy.

Developing a social marketing strategy to enhance actively preparing for pregnancy shows potential to encourage prospective parents to adopt healthier preconceptional lifestyle behaviours and can therefore improve the health of future generations.

Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.

The lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.

The MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m³ in 2001 to 16.73 million m³ in 2011 and further declined to 15.35 million m³ in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.

None of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.

Blockchain technology is one of the emerging innovative technologies making waves globally, and it has been adjudged to have the capability to transform businesses. With the different capabilities of the technology, such as immutability of information and decentralisation of authority attributes, the built environment is slow in its adoption. This study aims to explore the barriers to the implementation of blockchain technology in the construction using a principal component analysis (PCA) approach.

This research took a post-positivist philosophical stance, which informed a quantitative research approach through a questionnaire survey. From the South African built environment and information technology sector, 79 respondents were drawn through a snowballing sampling technique. The built environment professionals include architect, construction project manager, construction manager, quantity surveyor and engineer. Retrieved data were screened and analysed by adopting the descriptive analysis and PCA while Cronbach alpha evaluated the reliability. Also, Kruskal–Wallis H non-parametric test was used to determine the differences in the opinion of the respondent groups.

The analysis revealed that all the identified barriers ranked above the average mean with lack of clarity, scalability risks and lack of skills or knowledge ranking top three. PCA clustered the identified barriers into three components: organisational barriers, social barriers and technological barriers.

This study was carried out in the Gauteng province of South Africa, leaving out other provinces due to accessibility, cost and time constraints.

Built environment organisations need to be kept abreast of the capabilities of blockchain technology as the major barrier observed was the lack of clarity of blockchain technology. Also, the technological barriers identified from this study need to be addressed by information technology experts to give consumers the desired value for money in implementing blockchain technology for the built environment.

The blockchain technology capabilities are incomparable to any other invention thus far. Therefore, it is very important that the numerous stakeholders in the built environment be made aware of the blockchain technology capabilities while formulating a solution to the identified barriers. This will aid its implementation in the built environment and help the industry measure up with its counterparts.

This study aims to explore the main drivers that family businesses possess to strengthen their resilience during the COVID-19 crisis.

This study followed a quantitative method analysis through a multiple regression analysis based on a sample of 570 Italian family firms.

The results showed that job quality and innovation significantly stimulate family firms' resilience during the COVID-19 crisis.

The study has several academic implications. Firstly, the study contributes to family firm research by extending the studies on factors that significantly influence the concept of resilience; secondly, the work contributes to crisis management, offering suggestions to help other firms exceed the COVID-19 crisis.

The present study clarifies the role of family firms' resilience, and it reveals how job quality and innovation play a meaningful role during the COVID-19 crisis.