Sustainable Management Activities Research Articles

Holistic Environmental Risk Index for Oil and Gas Industry in Colombia

Risk management for technological hazards mainly focuses on the consequences for human lives. Although technological risk analysis evaluates environmental vulnerability, it does not reflect the consequences of environmentally exposed elements. This paper’s objective is to propose a conceptual framework and create a multidisciplinary evaluation model for environmental risk analysis in the oil and gas industry. A holistic assessment was carried out based on probabilistic risk analysis methodologies to obtain a holistic environmental risk index, HERi. Moncho’s Equation was adapted by combining ecological risk, ER, and an aggravating coefficient, F. Transformation functions were utilized to represent the risk probability distributions. The results from the holistic environment risk index were standardized in a sigmoidal function using the ALARP criteria. Finally, the methodology was applied in two case studies in Colombia, comparing the results with an alternative model. This study found that Colombian armed conflict is a key factor that increases environmental risk in oil and gas projects. The proposed methodology takes a holistic approach by integrating socioeconomic factors and resilience considerations into the risk assessment process. This approach provides a more comprehensive understanding of the environmental risks associated with oil and gas projects in Colombia and promotes more effective sustainable management actions.

Fostering Sustainable Aquaculture: Mitigating Fish Mortality Risks Using Decision Trees Classifiers

A proposal has been put forward advocating a data-driven strategy that employs classifiers from data mining to foresee and categorize instances of fish mortality. This addresses the increasing concerns regarding the death rates in caged fish environments because of the unsustainable fish farming techniques employed and environmental variables involved. The aim of this research is to enhance the competitiveness of Greek fish farming through the development of an intelligent system that is able to diagnose fish diseases in farms. This system concurrently addresses medication and dosage issues. To achieve this, a comprehensive dataset derived from various aquaculture sources was used, including various factors such as the geographic locations, farming techniques, and indicative parameters such as the water quality, climatic conditions, and fish biological characteristics. The main objective of the research was to categorize fish mortality cases through predictive models. Advanced data mining classification methods, specifically decision trees (DTs), were used for the comparison, aiming to recognize the most appropriate method with high precision and recall rates in predicting fish death rates. To ensure the reliability of the results, a methodical evaluation process was adopted, including cross-validation and a classification performance assessment. In addition, a statistical analysis was performed to gain insights into the factors that identify the correlations between the various factors affecting fish mortality. This analysis contributes to the development of targeted conservation and restoration action strategies. The research results have important implications for sustainable management actions, enabling stakeholders to proactively address issues and monitor aquaculture practices. This proactive approach ensures the protection of farmed fish quantities while meeting global seafood requirements. The data mining using a classification approach coincides with the general context of the UN sustainability goals, reducing the losses in seafood management and production when dealing with the consequences of climate change.

Detection and Analysis of Forest Clear-Cutting Activities Using Sentinel-2 and Random Forest Classification: A Case Study on Chungcheongnam-do, Republic of Korea

This study provides the methodology for the development of sustainable forest management activities and systematic strategies using national spatial data, satellite imagery, and a random forest machine learning classifier. This study conducts a regional province-scale approach that can be used to analyze forest clear-cutting in South Korea; we focused on the Chungcheongnam-do region. Based on spatial information from digital forestry data, Sentinel-2 satellite imagery, random forest (RF) classifier, and digital forest-type maps (DFTMs), we detected and analyzed the characteristics of clear-cut areas. We identified forest clear-cut areas (accounting for 2.48% of the total forest area). The methodology integrates various vegetation indices and the RF classifier to ensure the effective detection of clear-cut areas at the provincial level with an accuracy of 92.8%. Specific leaf area vegetation index (SLAVI) was determined as the most important factor for accurately detecting clear-cut areas. Moreover, using a DFTM, we analyzed clear-cutting characteristics in different forest types (including private, national, natural, and planted forests), along with age class and diameter-at-breast-height class. Our method can serve as a basis for forest management and monitoring by analyzing tree-cutting trends in countries with forest areas, such as Republic of Korea.

Implementation Strategy “3R CIRCULAR ECONOMY” To Achieve SDG Target 11.6 “Municipal Waste Management” In Cipaganti Village, Bandung City (Study at the Cihampelas Mandiri Unit Garbage Bank)

Good municipal waste management is very important for a sustainable urban order. Good municipal waste management can reduce negative impacts on the environment, public health and natural resources. The application of a Garbage Bank is one of the solutions for good municipal waste management. This is due to the concept of a Garbage Bank which is aligned with sustainable city management. One of the principles that is effective in helping the performance of waste management at the Garbage Bank is a circular economy based on 3R (reduce, reuse, and recycle). The application of this concept needs to be supported by campaigns involving various activities such as outreach, education, training and promotion which aim to increase public awareness about the importance of sustainable waste management. This study aims to examine the Garbage Bank campaign strategy as an effort to support the achievement of Target 11.6 of the Sustainable Development Goals (SDG), namely “Urban Waste Management”, by implementing a 3R-based circular economy approach in Cipaganti Village, Bandung City. This study uses a qualitative approach with a case study method of a Garbage Bank in Cipaganti Village, Bandung City. Data was collected through in-depth interviews, participatory observation, and analysis of related documents. The key informants in this study were community members, related stakeholders, and the management of the Waste Bank in Cipaganti Village. The results of this study are expected to provide a better understanding of the effectiveness of the Garbage Bank campaign strategy in realizing SDG Target 11.6 in Cipaganti Village, Bandung City, as well as provide guidance for the government and related organizations in planning and implementing sustainable waste management activitiesgovernment and related organizations in planning and implementing sustainable waste management activities.

Inter- and intra-year forest change detection and monitoring of aboveground biomass dynamics using Sentinel-2 and Landsat

National aboveground forest biomass products enable monitoring of biomass dynamics in a consistent and repeatable manner to inform carbon accounting and sustainable forest management activities. The availability of images of the Earth's surface from a combination of Landsat and Sentinel-2A and -2B provides an opportunity and capability to track intra-year biomass dynamics availing upon a twice weekly acquisition opportunity. We developed an algorithm that leverages these spatially and spectrally compatible data sources, called Tracking Intra- and Inter-year Change (TIIC), to monitor forest change across Canada's forested ecozones (>650Mha) in near-real time. Combining the stand-replacing change information from TIIC with spatially explicit maps of aboveground biomass (AGB), we demonstrate how intra-annual and inter-annual AGB dynamics, including losses due to stand-replacing disturbances and gains from vegetation growth, can be quantified temporally and spatially. Using independent validation data, our results for the focus year 2019 indicate that TIIC, by analysing images from May 30 to September 1, can accurately detect stand-replacing disturbances across Canada's forested ecozones with an overall accuracy of 99% and correctly attribute the type of change (i.e., wildfire or mechanical removal, the latter of which includes timber harvesting) with an overall accuracy of 99%. From an initial producer's accuracy of 23% for the changed class, accuracy increases incrementally as additional images are added throughout the growing season. attaining a producer's accuracy of 98% by the end of the analysis period. Intra-year change information complements information on long-term trends derived from annual time series monitoring over several decades. Our analysis of AGB dynamics indicated that in every ecozone, widespread small positive AGB increments yielded overall AGB gains that were greater than the sum of the large, punctual AGB losses resulting from stand-replacing disturbances. Overall in 2019, forest AGB increased across Canada's forested ecozones by 2.54%. Temporally, 80% of AGB losses stemming from mechanical removal occurred over the winter and are as such concentrated at the beginning of the growing season. In contrast, AGB losses linked to fires happen more stochastically throughout the growing season and occupy a greater area. By way of disturbance type, 36% of 2019 AGB loss was attributed to mechanical removal, and 64% was attributed to wildfire. Following the approach demonstrated herein, AGB changes can be tracked at a temporal frequency informative of forest management practices and ecological processes on the landscape, thereby refining our understanding of AGB dynamics.

An integrated methodological framework for the durable conservation of freshwater ecosystems: a case study in Colombia’s Caquetá River basin

Introduction: Although freshwater ecosystems encompass 12% of all known species, their study has achieved less progress in systematic conservation planning exercises compared with terrestrial and marine ecosystems. Moreover, little attention has been given to ecosystem services and cultural and spiritual values, which are pivotal in the long-term preservation of freshwater ecosystems. Conservation, restoration, and sustainable management actions within freshwater systems are currently addressed individually, underscoring the necessity of comprehensive methodological frameworks that holistically address the questions of where and how to conserve while integrating ecosystem services and cultural factors as conservation values.Methods: We propose a new methodological framework for the conservation of freshwater ecosystems that incorporates these elements and fulfills six prioritization criteria: 1) representativeness, 2) integrity, 3) importance, 4) rarity, 5) complementarity, and 6) connectivity. To illustrate the application of this approach, we conducted a regional study in the Caquetá River basin in Colombia.Results: By applying our methodological framework, we demonstrated that the Caquetá River basin hosts 518 distinct freshwater groups with unique characteristics that contribute to the maintenance of ecosystems and the preservation of their inherent values. Additionally, our analysis revealed that protection is the most effective conservation strategy for 77.4% of the Caquetá River basin, whereas restoration and sustainable management are suitable for 4.7% and 17.9% of the basin, respectively. The prioritized portfolio for the Caquetá River basin encompasses 80.1% of all freshwater groups, effectively meeting The Nature Conservancy’s proposed conservation objectives.Conclusion: This novel methodological framework provides a pragmatic approach to systematic conservation planning and answers the questions of both where and how to conserve.

Investigating the Relationships Between Sustainable Management Activities, Technology Commercialization Capabilities, Sustainable Competitive Advantage and Market Performance: The Moderating Role of Supply Chain Impact

Objective: In today's complex environment, designing strategies that can help them improve market performance is essential. Method: The research is applied in terms of methodology and the type of reasoning is deductive. Data collection is based on numerical information and questionnaires and is quantitative. The study's statistical population includes managers and experts of 11 major dairy companies located in Tehran and Fars provinces in Iran. Among the distributed questionnaires, 306 questionnaires were returned to the researcher. In order to investigate descriptive statistics and preprocessing, SPSS 26 software and Smart PLS 3 software have been used for data analysis and statistics. Structural equation modelling (SEM) method is used to test the relationships between variables. Results: The results showed that sustainable management activities, technology commercialization capabilities (TCC) and sustainable competitive advantage (SCA) positively and significantly affect market performance. Also, the impact of the supply chain positively adjusts the causal relationship between TCC and market performance. Conclusion: Considering that the mentioned model in the research has a good fit and improves the market performance and SCA of the company, it can be concluded that companies can increase the company's market performance by paying much attention to the components of sustainable management activities.

Heterogeneous microgeographic genetic structure of the common cockle (Cerastoderma edule) in the Northeast Atlantic Ocean: biogeographic barriers and environmental factors.

Knowledge of genetic structure at the finest level is essential for the conservation of genetic resources. Despite no visible barriers limiting gene flow, significant genetic structure has been shown in marine species. The common cockle (Cerastoderma edule) is a bivalve of great commercial and ecological value inhabiting the Northeast Atlantic Ocean. Previous population genomics studies demonstrated significant structure both across the Northeast Atlantic, but also within small geographic areas, highlighting the need to investigate fine-scale structuring. Here, we analysed two geographic areas that could represent opposite models of structure for the species: (1) the SW British Isles region, highly fragmented due to biogeographic barriers, and (2) Galicia (NW Spain), a putative homogeneous region. A total of 9250 SNPs genotyped by 2b-RAD on 599 individuals from 22 natural beds were used for the analysis. The entire SNP dataset mostly confirmed previous observations related to genetic diversity and differentiation; however, neutral and divergent SNP outlier datasets enabled disentangling physical barriers from abiotic environmental factors structuring both regions. While Galicia showed a homogeneous structure, the SW British Isles region was split into four reliable genetic regions related to oceanographic features and abiotic factors, such as sea surface salinity and temperature. The information gathered supports specific management policies of cockle resources in SW British and Galician regions also considering their particular socio-economic characteristics; further, these new data will be added to those recently reported in the Northeast Atlantic to define sustainable management actions across the whole distribution range of the species.

Modeling the impact of land use/land cover change on soil erosion: in Suluh River Basin, Northern Ethiopia

<p><span lang="EN-US">The <em>Suluh</em> river basin is subjected to soil erosion due to land use and land cover change. Yet, the impact of land use/land cover change soil erosion has not been applied in the study area. Thus, the current study focused on the modeling of the impact of land use/land cover changes on soil erosion in the <em>Suluh</em> river basin, the northern highland part of Ethiopia. Landsat image data sources were used to achieve the objectives. Ancillary data was also used. The nearest neighbor's fuzzy way of classification and the land change modeler for modeling, and the revised universal soil loss equation model for estimating the soil erosion rate were employed. Both qualitative and quantitative data were analyzed qualitatively and quantitatively. The study's findings confirmed that cultivated land, bare land, and built-up areas significantly increased while areas occupied by natural vegetation such as forest land, shrub lands, and grazing lands decreased at a rapid rate in between 1990 to 2018. The predicted results suggest the continuation of the trend up to 2048 if business as usual is continued. The annual mean of soil lost in the study area was about 36.31, 43.32, and 47.78 in the years 1990, 2002, 2018, and will be 56.54, and 71.62 tons per hectare per year in 2028, and 2048, respectively. When we consider 15 t ha<sup>−1</sup> year<sup>−1</sup> as the maximum tolerable soil loss (TSL) rate for ease of presentation, the areas above the TSL have increased from 88.3% in 1990 to 88.6% in 2002 and to 89.6% in 2018, and are expected to increase to 89.9% and 99.8% in 2028 and 2048 periods, respectively. Thus, land use and land cover change information and its impact on soil erosion should be taken under consideration by land use planners to apply sustainable land management activities in the <em>Suluh</em> river basin.</span></p>

Morphological adjustments of the Yamuna River in the Himalayan foothills in response to natural and anthropogenic stresses

AbstractRivers can adjust to natural and anthropogenic stresses through changes in flow regime and sediment dynamics. Flow regulation due to dam construction can modify sediment transport processes, causing morphological adjustments and changes in conveyance capacity. In this study, we explored morphological adjustments along a 46 km segment of the Yamuna River in the Himalayan foothills from Dakpathar Barrage to Hathni Kund Barrage using a combination of remote sensing approaches. The cloud computing platform Google Earth Engine (GEE) was used to analyse multi‐temporal collections of Landsat satellite imagery acquired between 1989 and 2021. Active river channels (including water and exposed sediment) were classified using an MNDWI and NDVI thresholding approach from annually resolved temporal composite images. Declassified CORONA satellite imagery (acquired in 1965, 1973 and 1976) was manually digitized to provide longer‐term insights into channel change. Morphological adjustments were assessed using the RivMAP toolbox, providing quantitative information on the rates of bank erosion and accretion, bank line shifts and changes in active channel width. Results showed a substantial narrowing of the active channel after 2013, which coincided with the construction of the Lakhwar‐Vyasi Dam. We calculated a 67% reduction in mean active channel width, narrowing from ~800 m in 1989 to ~250 m in 2021. During the same period, evidence of sand mining in the active channel indicates a substantial increase in mining activities after 2015. The concept of stasis was explored under different flow regulation scenarios to suggest that the river has undergone a state of inactivity, where the river is doing nothing for much longer durations. We suggest that the combined effects of flow regulation and increased mining activities during the same period have altered river morphology, and further stresses due to a combination of human activities can be damaging for the river regime. This study sheds light on the potential implications of multiple stresses acting on the Yamuna River at the same time, which can inform future sustainable river management activities.

A professional development needs analysis instrument for junior and mid-level academic management

The professional development of managers poses fundamental challenges that higher education is facing in these fast-changing times. These challenges include a lack of induction into managerial roles and responsibilities, conflicting roles and responsibilities and a lack of general skills pertaining to managerial positions. Experiencing these challenges necessitates the need for sustainable development programmes and practices within higher education institutions. To address this need, the purpose of this exploratory research was to develop a professional development needs analysis instrument as a reliable and valid instrument to determine the professional development needs of junior and mid-level academic managers. A gap analysis was conducted, involving 156 junior and mid-level academic managers at a university in South Africa. The construct validity of the instrument was determined through exploratory factor analysis and confirmatory factor analysis. To determine the reliability of the instrument, Cronbach alpha coefficients were calculated. The outcome of both the factor analysis and the Cronbach alpha coefficients indicated that the questionnaire was a valid and reliable measuring instrument that could be employed in future research to determine the professional development needs of academic managers. The implementation of the professional development needs analysis instrument may contribute to sustainable management activities at universities for junior and mid-level academic managers.

Beyond water scarcity and efficiency? Water sustainability disclosures in corporate reporting

PurposeThis research aims to understand how companies communicate their understanding of water-related challenges and their responses to identify new pathways for addressing this challenge to further advance rising interest in water sustainability strategies of corporations.Design/methodology/approachThrough a content analysis of corporate disclosures, this paper identifies the actions and challenges reported by 35 FTSE 100 companies. These are analyzed quantitatively and qualitatively to explore variations in the subject of disclosure and the narrative framing.FindingsThe findings identify a clear split across the types of water sustainability reporting according to the industrial sector and subject of disclosure, linking to different narratives used according to legitimacy pressures.Practical implicationsThis paper finds that energy, materials and consumer staples sectors consistently outperform other sectors on the reporting of water issues and the scope which is covered. This has implications for the design of regulations and incentives to increase water sustainability management activities in large companies, which currently under-report.Social implicationsThis paper highlights the need for policy implementation to further integrate water-related topics into company reporting and identifies situations where the narrative disclosed may distort the underlying situation that is being communicated.Originality/valueThis paper explores the narratives used in company reporting to identify the challenges related to water sustainability and the actions taken in response. This can contribute to developing a pathway towards increased water sustainability (e.g. through new policy design).

Sustainable Use of Soil and Water Conservation Technologies and Its Determinants: The Case of the Handosha Watershed, Omo-Gibe River Basin, Ethiopia

For the past forty years, Ethiopia has been promoting sustainable land management activities to enhance agricultural productivity. This study was intended to identify the factors determining farmers’ adoption and continued use of soil bund measures in the Handosha watershed, Omo-Gibe river basin. A multistage sampling technique was used to select 340 households using the Heckman sample selection model. A total of 235 (69.12%) households adopted soil bunds, but only 89 (37.87%) of them were sustainably practicing soil bunds on their farm plots. Most adopters widely practiced soil bunds (49.42%), followed by stone bund (15.9%), and Fanyajuu (10%). The empirical results of the Heckman sample selection model showed that the farming experience, land tenure security, and perception of profitability of conservation measures were significantly positively affected the adoption of soil bund. Whereas, farm plot size and participation in off farm activities significantly negatively influenced the adoption of soil bund. Sustainable use of soil bund measures were significantly positively influenced by land tenure security, family size, and frequency of extension contact, whereas the distance between farm plots and home, and farm plot size were negatively affected. As a result, a design of agro-ecological-based soil and water conservation (SWC) measures was essential in reducing farmland vulnerability to soil erosion and food insecurity. It has been concluded that conservation practices should not only focus on the implementation and biophysical factors but also consider the socioeconomic interests of the farmers to improve the sustainable use of conservation technologies.

Westwards expansion of the European catfish Silurus glanis in the Douro River (Portugal)

The current study reports the first occurrence and the spread of the European catfish Silurus glanis (Family: Siluridae) in the Portuguese section of the Douro River, suggesting a potential expansion of its distribution in Portugal either via westward dispersal across international rivers and/or human-assisted introductions into new reservoirs and drainages. The European catfish has unique features (e.g., opportunistic predator, hunting, and aggregation behaviour) that make it highly suitable for establishing self-sustaining populations in new areas and likely contribute to its invasion success. The species may severely affect native prey communities and modify food web structure and ecosystem functioning. Efficient and sustainable management actions are needed to prevent further introductions in the future.

Climate and air pollution impacts of generating biopower from forest management residues in California

California faces crisis conditions on its forested landscapes. A century of aggressive logging and fire suppression in combination with conditions exacerbated by climate change have created an ongoing ecological, economic, and public health emergency. Between commercial harvests on California’s working forestlands and the increasing number of acres the state treats each year for fire risk reduction and carbon sequestration, California forests generate millions of tons of woody residues annually—residues that are typically left or burned in the field. State policymakers have turned to biomass electricity generation as a key market for woody biomass in the hope that it can support sustainable forest management activities while also providing low-carbon renewable electricity. However, open questions surrounding the climate and air pollution performance of electricity generation from woody biomass have made it difficult to determine how best to manage the risks and opportunities posed by forest residues. The California Biomass Residue Emissions Characterization (C-BREC) model offers a spatially-explicit life cycle assessment framework to rigorously and transparently establish the climate and air pollution impacts of biopower from forest residues in California under current conditions. The C-BREC model characterizes the variable emissions from different biomass supply chains as well as the counterfactual emissions from prescribed burn, wildfire, and decay avoided by residue mobilization. We find that the life cycle ‘carbon footprint’ of biopower from woody residues generated by recent forest treatments in California ranges widely—from comparable with solar photovoltaic on the low end to comparable with natural gas on the high end. This variation stems largely from the heterogeneity in the fire and decay conditions these residues would encounter if left in the field, with utilization of residue that would otherwise have been burned in place offering the best climate and air quality performance. California’s energy and forest management policies should account for this variation to ensure desired climate benefits are achieved.

기업의 지속가능경영 활동이 수익성과 기업가치에 미치는 영향에 관한 연구

기업의 지속가능경영 활동이 수익성과 기업가치에 미치는 영향에 관한 연구

Assessment of Physicochemical and Bacteriological Parameters in the Angads Aquifer (Northeast Morocco): Application of Principal Component Analysis and Piper and Schoeller–Berkaloff Diagrams

Groundwater is a vital resource and a development lever for many countries, including Morocco. To develop these resources, mineralogical and hydrogeochemical studies as well as a bacteriological study were carried out on the groundwater of the Angads aquifer, which is located in the northeast of Morocco to highlight the processes at the origin of mineralization, their quality for human consumption and irrigation, as well as the hydrogeochemical facies of these waters. To do this, a multivariate statistical analysis using principal component analysis, varimax rotation of factors, and hierarchical ascending classification were conducted for all the groundwater samples of the Angads aquifer in Oujda. The main results revealed that these waters present faecal contamination by faecal and total coliforms and faecal streptococci. And another one by nitrates due to the high values of NO3−, as well as the mineralization of these waters is controlled by the nature of the geological formations crossed and the residence time in the aquifer, which is confirmed by the presence of ions such as Cond, HCO3−, Ca2+, Mg2+, and SO42−. Concerning the quality of the groundwater, according to Moroccan standards and the World Health Organization, the results show that they are generally unsuitable for human consumption and irrigation. Two diagrams were used to study the facies: Piper and Schoeller–Berkaloff. The results show that these waters are highly mineralized, with the chloride and sulphate calcic and magnesian facies dominating with 89.47%. To protect this vital resource, sustainable management actions must be implemented, in particular, to reduce the use of pesticides, control the use of fertilizers, and clean up and purify the groundwater.

Population genetics of the African snakehead fish Parachanna obscura along West Africa's water networks: Implications for sustainable management and conservation.

An essential factor for aquatic conservation is genetic diversity or population divergence, which in natural populations reflects the interplay between geographical isolation with restricted gene flow and local evolution of populations. The long geological history of Africa may induce stronger among-population divergence and lower within-population divergence in fish populations of African watersheds. As an example, we studied population structure of the African snakehead fish Parachanna obscura. Our study aimed: (1) to develop a set of highly polymorphic microsatellite markers suitable for the analysis of genetic diversity among P.obscura and (2) to study the genetic diversity and structure of P.obscura populations from the West Africa region and mostly from Côte d'Ivoire, with respect to the effects of climate region and geographical distance on the genetic differentiation. A total of 259 specimens from 15 locations of P.obscura were collected over the West Africa region reflecting a high variability of pairwise geographical distances and variability of hydrological connectivity of the area. We developed a set of 21 polymorphic microsatellite markers for studying population genetics of the fish. The results showed relatively low intragenetic diversity for all the 15 locations, certainly attributable to confinement of fish in segregated catchments, resulting in limited gene flow. We also found evidence for local adaptation processes, suggested by five out of 21 microsatellite loci being under putative selection, according to BAYESCAN analysis. In turn, there was strong genetic differentiation (F ST> 0.5) among fish from most locations, reflecting the allopatric development in watersheds without hydraulic connectivity. Neighbor-joining dendrogram, Principal Coordinate Analysis, and analysis of ancestral groups by STRUCTURE suggested that the 15 locations can be divided into three clusters, mainly matching the dominant climate zones and the segregation of the watersheds in the region. The distinct genetic structure of the fish from the 15 locations obtained in this study suggests that conservation and sustainable management actions of this fish resource should avoid genetic mixing of potentially locally adapted populations.

Morally transgressive companies and sustainable guidelines: seeking redemption or abusing trust?

Purpose This study aims to evaluate the impact of a sustainable production action on consumer trust and purchase intention by a company involved in moral transgression and also analyze the effect on consumer trust and purchase intention if a company, after green marketing, is identified as greenwashing spreader. Design/methodology/approach This quantitative nature (n = 121) study uses scale’s discriminant and convergent validity analyses, structural equation modeling and Student’s t-test. Findings Even for previously morally transgressive brands, actions of social legitimation, such as embracing environmental causes, positively impact consumer trust and purchase intention. However, consumers drop brand trust and purchase intention when verifying that this action was greenwashing. Research limitations/implications Mediating or moderating variables of ecological awareness, such as religiosity or political view, were not tested. Practical implications This article combines the impact of positive, sustainable management actions for morally transgressive companies and the effects of new transgression on their sustainable management action. Thus, it aims to reduce the gap between organizational practice and management research. Social implications This article shows that embracing society’s emerging causes and helping the world be a better place to live, moving toward the 2030 United Nations agenda, have practical repercussions for organizations. Originality/value This article contributes both to the literature and managerial implications by combining the impact of positive, sustainable management actions for morally transgressive companies and the effects of new transgression on their sustainable management action, thus reducing the gap between management research and organizational practice by unveiling the relations between sustainable actions and their perceived consequences.

A systematic approach for assessing water, energy and food security during the COVID-19 pandemic: case study of Mexico.

Assessing the security of the water–energy–food nexus is a topic of great importance, which allows determining the situation of each resource to implement actions for sustainable management of these resources in today's society. For this reason, a systematic procedure is proposed to evaluate the synergies of the water–energy–food nexus in a large region that is divided into subregions that allow considering their interactions. The new procedure considers the availability, accessibility and regional interdependence of resources while annexing economic and social aspects. A composite index called the WEF Global Index is developed, which involves the WEF nexus index and has nine indicators that evaluate the availability, accessibility and regional interdependence of each resource in the water–energy–food nexus. This new index considers the Gross Domestic Product per capita and the involved population. As a case study, the 32 states of Mexico were considered to assess the effects of the COVID-19 pandemic on the economy and the security of the water-energy-food nexus at the state level. For this, the composite index was evaluated in the years 2019 and 2020. The results show that from 2019 to 2020, the value of the global index increased in 13 states, in 21 states the security index of the WEF nexus increased, and in 9 states the GDP per capita index increased. On the other hand, the results indicate that in 11 states there was no improvement in the nexus security index due to the increase in water demand, which considerably affected the water availability indicator.Supplementary InformationThe online version contains supplementary material available at 10.1007/s10668-022-02671-2.