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The purpose of this paper is to investigate the trend of transatlantic strategic convergence and policy coordination in response to Chinese trade practices and technological competition, specifically in the critical minerals sector.

The research draws on primary and secondary source material to identify evidence of and examine the drivers, manifestations and prospects for effective US-European efforts to advance the shared aim of reducing vulnerabilities in critical minerals supply chains.

The interests of the USA and Europe would be best served by prioritizing their own security, diversification and resilience strategies while seeking areas of common ground and constructive engagement with China.

The research offers a fresh perspective on the growing alignment and persistent gaps in US and European perspectives on China’s rising influence and assertive behavior.

The research highlights the vital role of critical minerals in national security, economic competitiveness, technological advancement and sustainable resource management. It underscores the shared recognition on both sides of the Atlantic that securing a stable supply of critical minerals – essential for maintaining strategic capabilities, driving innovation and ensuring long-term economic prosperity – necessitates tighter transatlantic coordination as well as constructive engagement with China.

This paper aims to deal with a real-life strategic conflict in joint operations (JOs) for facility location decision and planning in an oil and gas field that stretches over two countries and tries to develop a basis for mitigating such conflict.

This paper develops a novel approach using integer linear programming (ILP) to determine optimal facility location considering technical, economic and environmental factors. Strategic decision-making in JOs is also influenced by business priorities of individual partner, sociopolitical issues and other covert factors. The cost-related quantitative factors are normalized using inverse normalization function as these are to be minimized, and qualitative factors that are multi-decision-making criteria are maximized, thus transforming both qualitative and quantitative factors as a single objective of maximization in ILP model.

The model identifies the most suitable facility location based on a wide range of factors that would provide maximum benefit in the long term, which will help decision-makers and managers.

The model can be expanded incorporating other quantitative and qualitative factors such as tax incentives by the government, local bodies and government regulations.

The applicability of the model is not limited to JOs or oil/gas field, but is applicable to a wide range of sectors.

The model is transparent and based on rational and scientific basis, which would help in building consensus among the dissenting parties and aid in mitigating strategic conflict. Such type of model for mitigating strategic conflict has not been reported/used before.

Resilience as a novel concept has attracted the most attention in the management of engineering systems. The main goal of engineering systems is production assurance and increasing customer satisfaction which depends on the suitable performance of mechanical equipment. “A resilient system is defined as a system that is resistant to disruption and failures and can recover itself and returns to the state before failure as soon as possible in the case of failure.” Estimate the value of the system’s resilience to increase its resilience by covering the weakness in the resilience indexes of the system.

In this article, a suitable approach to estimating resilience in complex engineering systems management in the field of mining has been presented. Accordingly, indexes of reliability, maintainability, supportability, efficiency index of prognostics and health management of the system, and ultimately the organization resilience index, have been used to evaluate the system resilience.

The results of applying this approach indicate the value of 80% resilience if the risk factor is considered and 98% if the mentioned factors are ignored. Also, the value of 58% resilience of this organization’s management group indicates the weakness of situational awareness and weakness in the vulnerable points of the organization.

To evaluate the resilience in this article, five indicators of reliability, maintainability, and supportability are used as performance indicators. Also, organization resilience and the prognostic and health management of the system (PHM) are used as management indicators. To achieve more favorable results, the environmental and operational variables governing the system have been used in performance indicators, and expert experts' opinions have been used in management indicators.

This study seeks to collaborate with the discussions on the usefulness of the narrative approach in accounting. In this context, this study aims to elaborate small collective stories, developed from interviews, to expose the population’s perception of the social and environmental impact (positive and negative externalities) resulting from iron ore mining in the city of Congonhas-Minas Gerais (MG).

This research, using counternarratives, aims to elaborate small collective stories, developed from 52 interviews, to expose the population’s perception of externalities resulting from the exploitation of iron ore in the city of Congonhas-MG, Brazil, to give more insight for social and environmental accounting reporting. A qualitative investigation is used with a narrative approach that focuses on a specific event in the participants’ lives.

The authors sought to create a sense of collective experiences of the interviewees through narratives representative of the residents’ perception of externalities in the form of small collective stories. However, it can be observed that the local population recognizes the impact of numerous externalities. Likewise, the use of narratives allows the reader to experience another reality – a reflection on the impact of business activities in a given context. Unlike conventional corporate social reporting, models based on qualitative information can be inclusive, produced by/for the community toward action that transforms the local reality.

This study intends to contribute to the debate on reporting models that are developed by and for external stakeholders. This approach has the potential to improve participants’ both awareness and engagement, supporting transformative social action. This study makes several contributions. It contributes to the literature with a narrative approach, which is not often used in the accounting literature; it brings insights from the Latin American context, which is especially valuable given how the Anglo-American accounting literature includes few papers addressing this context; it presents the view of marginalized communities that are too often overlooked (this narrative approach offers important insights into the lived experience of people at a very granular level).

Carbon storage in protected land is a practical climate stabilization strategy. It is increasingly being recognized as an essential means of safeguarding biomass carbon and improving local ecological conditions. Yet, increasing soil carbon sequestration by setting aside nature reserves does not depend only on the scale of the reserve but more so on the implementation and enforcement of the reserve protection policy. This paper aims to discuss the aforementioned issues.

The authors show how nature reserves established and managed by different administrative levels affect carbon sequestration. Empirically, the authors estimate a time-varying difference-in-difference model that exploits China's distinct four-layered hierarchical nature reserve management system at the county level.

The findings show that higher administrative level (i.e. national and provincial) nature reserves have no effects on the carbon dynamic. However, reserves managed by lower administrative levels (i.e. prefecture- and county-level) are associated with reduced carbon sequestration. The results imply local governments fail to fulfil their responsibilities for nature reserves protection, leading to increased extractive activities and declined ecological biomass.

Responsibility and accountability mechanisms for the violation of the nature reserves requirements need to be stipulated accordingly. Greater emphasis should be placed on nature reserves at the base level. The central government should continue efforts toward the establishment of ad hoc and independent management agencies at the ground-management level that are free of influence from base-level governments.

The heterogeneity in the performance of nature reserves across administrative levels confirms that ecosystem service quality is highly dependent on establishment, management and supervision. This provides a better understanding of the socio-ecological interdependence of protected areas.

Ores and minerals are extracted from the earth’s crust depending on the type of deposit. Iron ore mines come under massive deposit patterns and have their own mine development and life cycles. This study aims to depict the development and life cycle of large open-pit iron ore mines and the intertwined organizational design of the departments/sections operated within the industry.

Primary data were collected on the site by participant observation, in-depth interviews of the field staff and executives, and field notes. Secondary data were collected from the literature review to compare and cite similar or previous studies on each mining activity. Finally, interactions were conducted with academic experts and top field executives to validate the findings. An organizational ethnography methodology was employed to study and analyse four large-scale iron ore mines of India’s largest iron-producing state, Odisha, from January to April 2023.

Six stages were observed for development and life cycle, and the operations have been depicted in a schematic diagram for ease of understanding. The intertwined functioning of organizational set-up is also discovered.

The paper will benefit entrepreneurs, mining and geology students, new recruits, and professionals in allied services linked to large iron ore mines. It offers valuable insights for knowledge enhancement, operational manual preparation and further research endeavours.

The evolution of tourism must be framed into policies that aim a development model perspective for the destinations, based on the analysis of economic, political, and social indicators. Therefore, emerging destinations, located in territories with low population density, should be a target of a careful strategy policy, considering the characteristics of the region. In particular, the disaster caused by the pandemic context (i.e., COVID-19) implied profound changes in tourism thinking, planning, and development of regions in Portugal and throughout the world. The present chapter proposes the creation of a tourism monitoring system for Arouca (Portugal), a territory classified as Low-Density Territory, with specific characteristics. The monitoring will involve the planning and management of database, at the disposal of all stakeholders, ensuring that the tourism flows in analysis do not get overwhelmed, allowing the discussion of opportunities and threats for the territory, based on the partnership between the population, public and private sector, adjusted to the social, cultural, economic, and environment perception. Will also be considered the perspective of the local community from Arouca's region, the main actors from the territory such as Geopark Association of Arouca and the City Council, according to the surveys used as data basis of this study, along with statistics analysis.

Given the prevalence of protecting geoheritage tourism sites, Ladakh has enormous potential. However, Ladakh’s potential and developments in its growth as a geotourism destination have received scant consideration. As such, this paper aims to explore Ladakh’s key drivers as a potential geotourism destination through cognitive dissonance and protection motivation theories.

This paper conducted in-depth interviews with 86 geoscientists and tourism professionals to assess Ladakh’s potential as a geotourism destination. This paper used a qualitative approach to congregate four constructs based on the image difference of the consensus map.

Because of the interviewees’ heterogeneity and uniqueness, meaningful constructs in the consensus were included for each figure and cloud words. This paper concluded that four drivers are the main forces behind geotourism development.

This paper explores the drivers – geotourism services, legislative requirements, experiential geotourism and SPARC (scientific, preservation, aesthetic, recreational, cultural) values – affecting geotourism in Ladakh. It is feasible to lessen the negative effects of overtourism and make sure that Ladakh’s distinctive nature is preserved for future generations by implementing sustainable tourism practices.

There is an urgent need to develop climate-smart agrosystems capable of mitigating climate change and adapting to its effects. Conventional agricultural practices prevail in Mauritius, whereby synthetic chemical fertilizers, pesticides and insecticides are used. It should be noted that Mauritius remains a net-food importing developing country of staple food such as cereals and products, roots and tubers, pulses, oil crops, vegetables, fruits and meat (FAO, 2011). In Mauritius, the agricultural sector faces extreme weather conditions like drought or heavy rainfall. Moreover, to increase the crop yields, farmers tend to use 2.5 times the prescribed amount of fertilizers in their fields. These excess fertilizers are washed away during heavy rainfall and contaminate lakes and river waters. By using smart irrigation and fertilization system, a better management of soil water reserves for improved agricultural production can be implemented. Soil Nitrogen, Phosphorus and Potassium (NPK) content, humidity, pH, conductivity and moisture data can be monitored through the cloud platform. The data will be processed at the level of the cloud and an appropriate mix of NPK and irrigation will be used to optimise the growth of the crops. Machine learning algorithms will be used for the control of the land drainage, fertilization and irrigation systems and real time data will be available through a mobile application for the whole system. This will contribute towards the Sustainable Development Goals (SDGs): 2 (Zero Hunger), 11 (Sustainable cities and communities), 12 (Responsible consumption and production) and 15 (Life on Land). With this project, the yield of crops will be boosted, thus reducing the hunger rate (SDG 2). On top of that, this will encourage farmers to collect the waters and reduce fertilizer consumption thereafter sustaining the quality of the soil on which they are cultivating the crops, thereby increasing their yields (SDG 15).