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This paper argues that extractivist logic creates the environmental conditions that produce “natural” hazards and also the human conditions that produce vulnerability, which combined create disasters. Disaster Risk Creation is then built into the current global socio-economic system, as an integral component not accidental by-product.

As part of the movement to liberate disasters as discipline, practice and field of enquiry, this paper does not talk disasters per se, but rather its focus is on “extractivism” as a fundamental explanator for the anthropogenic disaster landscape that now confronts us.

Applying a gender lens to extractivism as it relates to disaster, further highlights that Disaster Risk Management rather than alleviating, creates the problems it seeks to solve, suggesting the need to liberate gender from Disaster Risk Management, and the need to liberate us all from the notion of managing disasters. Since to ‘manage’ disaster risk is to accept uncritically the structures and systems that create that risk, then if we truly want to address disasters, our focus needs to be on the extractive practices, not the disastrous outcomes.

The fundamental argument is that through privileging the notion of “disaster” we create it, bring it into existence, as something that exists in and of itself, apart from wider socio-economic structures and systems of extraction and exploitation, rather than recognising it for what it is, an outcome/end product of those wider structures and systems. Our focus on disaster is then misplaced, and perhaps what disaster studies needs to be liberated from, is itself.

Set within the context of International Financial Services (IFS), this research aims to considers the demographic profile of IFS apprenticeship candidates in relation to gender equality and social mobility in Ireland. This study also offers valuable insights as to the gendered nature of these “new” apprenticeships and examine whether these programmes provide opportunities for social mobility.

Implementing a quantitative approach, underpinned by a positivist stance, this study analyses Irish national apprenticeship data relating to IFS programmes (n = 1118). Non-parametric tests were applied in the analysis of the gender dimension, while to analyse social mobility, the socio-economic status and spatial profile of candidates were compiled and analysed using the Pobal HP Deprivation Index (SA).

The findings revealed more women are undertaking non-traditional apprenticeship programmes as compared with traditional craft apprenticeships. Within the IFS context, while female participation was seen to be growing, gender divergence was observed in terms of programme level, with a greater number of men, as compared with women, engaging in higher-level degree apprenticeship programmes. The findings also show that IFS apprentices are primarily from socio-economic areas that are above average. This trend indicates a distinctive candidate who is more aligned with the sectoral profile of IFS than that of traditional apprenticeship programmes. Such findings reveal that the “widening participation” aim of IFS apprenticeships is not yet fully realised with issues of gender inequality and social mobility persistent within the wider IFS sector.

This study provides an important dimension to both academic and practitioner literature concerning apprenticeships. To date, there has been a proliferation of publications concerning the beneficial impact of skills and vocational-led apprenticeships. However, limited attention has been directed to non-traditional apprenticeships and even less still within the setting of IFS. This research initiates the process of addressing that gap within an Irish context. This study also adds to the existing apprenticeship discourse regarding issues of gender and social mobility by examining the gendered nature of IFS apprenticeships and well as assessing whether these apprenticeships aid social mobility.

The aim of this paper is to understand how systemic change agents influence the twin digital and green transitions. The authors build on agency-based theories to argue that transition pathways are influenced by a combination of place-based characteristics, the mobilisation and preferences of systemic change agents (such as local clusters), and the institutional and economic context. The conceptual framework defines the different steps of the twin transition, and it identifies how systemic change agents and geographic characteristics determine the direction and speed of the transition pathway.

This paper starts with a literature review to identify the different schools of thoughts on transition pathways and the twin transition, before developing a conceptual framework and deriving policy implications.

First, this paper argues that each transition involves three steps: framing, piloting and scaling. Each of these steps is driven by systemic change agents who engage local actors in trust-based collaboration, pool resources, create network effects and exchange information to source solutions for industry-level challenges. Second, the combination of place-based characteristics and the actions of local systemic change agents define the path of the transition and the new (post-transition) equilibrium. Finally, this paper sets out implications for policymakers who are interested in using systemic change agents to shape transition pathways in their local area.

Further research is needed to provide robust empirical evidence from a range of territorial realities for the hypotheses in this paper. Specifically, the role of systemic change agents, such as trade associations, regional organisations, clusters or research groupings, needs to be investigated more closely. These agents can play a key role in progressing the transition because they already focus on sourcing solutions to joint challenges and opportunities by exchanging information, engaging local actors in trust-based collaboration, pooling resources and fostering network effects and critical mass. Future research should investigate how policymakers can best leverage on these crucial actors to progress or steer transitions and how this varies depending on place-based characteristics. This could include, for instance, training activities, networking and collaboration (e.g. through the European Cluster Collaboration Platform) or clearer sign-posting the key next steps required for the transition.

This paper identifies specific ways in which local actors can influence the direction and speed of transitions at each stage of the transition: at the framing stage, political entrepreneurship can be fostered through collaboration and smooth information flows between different levels of governance, at the piloting stage, commercial and social entrepreneurship require effective knowledge sharing and a wide and open search for solutions which, in turn, may require capacity building at the local level and coordination across stakeholder groups and levels of governance and effective scaling up can be fostered through network effects, joint commitment from a broad range of stakeholders and pooling of resources to achieve economies of scale.

An important implication of the framework is that, if several places are undergoing a parallel or joint transition, the result may not be convergence between these places. Instead, different places may choose different end points and they may proceed at different speeds. For instance, in the context of the European Union’s green and digital transitions, it is unlikely that every region will transition to a similar level of digitisation or make steps in the same direction when it comes to sustainability.

This paper plugs a gap in understanding how systemic transitions unfold and how their speed and direction are influenced by different stakeholder groups. This paper develops a conceptual framework to define twin transition pathways and it analyses prominent place-based factors affecting these pathways.

The primacy of commerce in livelihood security cannot be overstated. However, in a rural context defined by involuntary socio-ecological displacement, commerce can assume a sociologically distinct character, with far-reaching implications. Based on first-hand encounters with victims of the devastating 2014 flood in Tokwe-Mukorsi, Zimbabwe, this paper analyses how the processes of “recreating” village markets in the resettlement site of Chingwizi impacted the victims’ experiences of resource provisioning and livelihood security.

Qualitative data were collected through 10 in-depth interviews, 10 key informant interviews and two focus group discussions, five years into the flood victims’ resettlement in Chingwizi. The data analysis focused on the dynamics around the recreation of village markets, and the consequences of this on the household economic standing of the resettled flood victims.

The paper reveals how the formation of village markets in Chingwizi was influenced not primarily by the ethno-commercial and ethno-economic impulses reminiscent of life in their ancestral home but mostly by new, disruptive dynamics and challenges unique to the resettlement site. The paper elucidates the constellation of factors that, together, exacerbated the flood victims’ overall socio-economic dislocation and disadvantage.

The study provides a systematic understanding of the dynamics of ethno-commerce, particularly on the evolution of village market activities and livelihoods, among Zimbabwe’s Chingwizi community over a period of five years into their resettlement. It brings to the fore, the often ignored, but significant nuances that 'village market' formation and livelihoods recreation takes in a resettlement context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0682

The purpose of this paper is to guide commercial and policy action to improve smallholder Indonesian cattle systems.

A survey (n = 304) of smallholder cattle farms in six villages in two districts of Nusa Tenggara Barat, Indonesia. Principal component analysis (PCA) and cluster analysis (CA) were employed to classify cattle farms into business models according to observed innovation. Differences between business models were identified using a one-way-analysis-of-variance (ANOVA).

Four business models were identified, representing profiles of innovation adoption and elements of business models, socio-economic characteristics, farming system and performance variables including revenue, cost and profit. The business models display a range of orientation to buyer requirements and a range of approaches to production, indicating a need to promote in a variety of ways the change from supply-push to demand-pull in the cattle value chain.

This study offers guidance on how business models might be strengthened over time, by using simple indicators of performance and the models' linkage to innovation in the context of each business model. The business models developed here, and refinements to them based on localised conditions, offer a targeted and accelerated pathway to improved performance in smallholder systems.

This study proposed a novel approach to the recognition of business models based on innovation.

Entrepreneurship represents a complex decision-making process capable of influencing the conditions of a socio-economic system. For this reason, stimulating entrepreneurship is a topic that has always fascinated scholars and attracted the attention of public policy makers. This study, from the perspective of the theory of planned behaviour (TPB), aims to contribute to the analysis of entrepreneurial intention (EI) in university students. Factors such as entrepreneurship education (EE), mediation of personal attitude (PA), perceived behavioural control (PBC), EI, regulatory support (RS) and opportunity recognition (OR) for university students.

Research data was collected using a questionnaire, and a cross-sectional sample was selected from senior business and engineering students who are most likely to participate in entrepreneurial activities. The survey was conducted in the Delhi NCR region. 240 students were interviewed. Partial least square structural equation modelling using SmartPLS-4 was used to test the explanatory and predictive power of the proposed model.

The results of this study offer interesting contributions to the academic debate. First, EE has a significant impact on PA, PBC and entrepreneurial intentionality. Second, PBC, recognition of opportunities and EI have a significant impact on entrepreneurial education. Finally, PA and PBC significantly mediate the “entrepreneurial education – entrepreneurial intention” relationship.

Interesting elements of originality are offered by this study. First, entrepreneurship is studied as a decision-making process influenced by intentions and not behaviours. Second, the authors limited the efforts to unraveling the effect of the five variables on the formation of EI. Finally, the large size of the sample allows the authors to obtain significant results, directing future studies to other territorial contexts. Additionally, incorporating some control variables, such as gender and family background, would explore the relationship between the model variables more meaningfully.

Urban communities can be faced with many destructive events that can disrupt the daily functioning of activities and livelihood of people living in the communities. In this regard, during the last couple of years, many governments have put a lot of efforts into building resilient urban communities. Essentially, a resilient urban community has the capacity to anticipate future disasters, prepare for and recover timely from adverse effects of disasters and unexpected circumstances. Considering this, it is therefore important for the need to continuously review the existing urban community resilience indicators, in order to identify emerging ones to enable comprehensive evaluation of urban communities in the future against unexpected events. This study therefore aims to conduct a systematic review to develop and critically analyse the emerging and leading urban community resilience indicators.

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRSIMA) protocol, 53 journal articles were selected using Scopus. The selected papers were subjected to thorough content analysis.

From the review, 45 urban community resilience indicators were identified. These indicators were grouped into eight broad categories namely, Socio-demographic, Economic, Institutional Resilience, Infrastructure and Housing Resilience, Collaboration, Community Capital, Risk Data Accumulation and Geographical and Spatial characteristics of community. Further, the results indicated that the U.S had the highest number of publications, followed by Australia, China, New Zealand and Taiwan. In fact, very few studies emanated from developing economies.

The outputs of this study will inform policymakers, practitioners and researchers on the new and emerging indicators that should be considered when evaluating the resilience level of urban communities. The findings will also serve as a theoretical foundation for further detailed empirical investigation.

The purpose of this study is to identify and analyze the barriers associated with the adoption of Industry 4.0 technologies in agricultural supply chains.

The study initially identified thirteen barriers by conducting a literature review and semi-structured interviews with key stakeholders. Subsequently, these barriers were validated and modeled using an integrated Fuzzy Delphi-ISM approach. Finally, MICMAC analysis was employed to categorize the barriers into distinct clusters.

The results provide considerable insights into the hierarchical structure and complex interrelationships between the barriers as well the driving and dependence power of barriers. Lack of information about technologies and lack of compatibility with traditional methods emerged as the two main barriers which directly and indirectly influence the other ones.

The robust hybrid Fuzzy Delphi and ISM techniques used in this study can serve as a useful model and benchmark for similar studies probing the barriers to Industry 4.0 adoption. From a theoretical standpoint, this study expands the scope of institutional theory in explaining Industry 4.0 adoption barriers.

The study is timely for the post-COVID-19 recovery and growth of the agricultural sector. The findings are helpful for policymakers and agriculture supply chain stakeholders in devising new strategies and policy interventions to prioritize and address Industry 4.0 adoption barriers.

It is the first comprehensive, multi-country and multi-method empirical study to comprehensively identify and model barriers to Industry 4.0 adoption in agricultural supply chains in emerging economies.

Sustainable construction practices are strongly correlated with a profitable and competitive construction industry, improved client satisfaction and efficient use of resources. However, due consideration is not being given to sustainable construction practices in Nigeria. Therefore, this study aims to identify the unsustainable construction practices on construction sites, the barriers to sustainable construction and possible strategies to improve sustainable construction in Nigeria.

A questionnaire survey of 50 construction sites was conducted with construction professionals on the sites as the specific target, out of which only 43 construction sites have at least a construction professional present at the site. Forty-three filled questionnaires from the respondents were used for descriptive (mean score, standard deviation and charts) and inferential analysis (t-test and Kruskal–Wallis) in this study.

The study shows that a large percentage (75%) of construction professionals in Nigeria are aware of sustainable construction. The descriptive and inferential analysis showed a disparity in the ranking of the 12 unsustainable practices, 14 barriers and 11 strategies among the respondents. Five unsustainable practices (“negative externalities”, “excess energy”, “unsustainable technologies”, “non-management of health and safety of workers” and “material waste”), six barriers to sustainable construction (“absence of historical data and exemplary projects on which construction professionals can build and learn from”, “lack of professional to handle the task”, “poverty and low urban investment”, “lack of urban and construction policy”, “lack of awareness” and “lack of technical know-how”) and three strategies to improve sustainable construction practices in Nigeria (“cooperation, partnership and participation”, “protection of biodiversity and conservation of natural resources” and “sustainability assessment system”) were found to be significant.

The study offers significant insights into the construction industry unsustainable practices, barriers to sustainable construction, as well as strategies for improving sustainable construction practices. These insights can be applied to other developing countries with an emphasis on geographical differences.

To the best of the authors’ knowledge, this is one of the recent studies in Nigeria that explored the context of sustainable construction in the construction industry by providing insights into the unsustainable construction practices, barriers and strategies to improve sustainable construction in Nigeria.

The authors examine the effect of climate risk on accounting conservatism for a sample of listed companies operating in 26 developing countries.

The authors employ the Climate Risk Index (CRI) developed by Germanwatch to capture the severity of losses due to extreme weather events at the country level. The authors use different approaches to measure firm-level accounting conservatism.

The authors find that greater climate risk leads to a lower level of accounting conservatism. The results hold even after using different estimation methods.

Although the authors' analysis is limited to the period 2007–2016, it could be helpful for standard setters such as International Accounting Standards Board (IASB) and International Sustainable Standards Board (ISSB) as they may consider the potential effect of climate risk in their international standards.

The negative impacts of climate risk on the quality of financial reporting as proxied by accounting conservatism could trigger regulators and standard setters to require disclosure of information relating to climate risks and to incorporate climate-related risks in their risk management systems. In addition, for policymakers, incorporating accounting conservatism as a financial quality reporting standard could help promote greater transparency, accuracy and reliability in financial reporting in the context of climate risk.

The authors add to the literature on international differences in accounting conservatism by showing that climate risk significantly affects unconditional and conditional conservatism. The authors' results provide fresh evidence of the dark side of climate change. That is, climate risk is shown to decrease financial reporting quality.