Sustainable Management Research Articles

Supply chain sustainability and risk management in food cold chains – a literature review

PurposeThis article aims to evaluate published food cold chain (FCC) literature against risk management and supply chain sustainability concepts.Design/methodology/approachThe article uses the theory refinement logic proposed by Seuring et al. (2021) to analyze the contents of FCC management-related literature published over the past 20 years. A sample of 116 articles was gathered using Web of Science and subsequently analyzed. The respective articles were then systematically coded against the frameworks of Beske and Seuring (2014) and Vlajic et al. (2012), which focused on building sustainable and robust supply chains, respectively.FindingsThe literature review revealed that debates around managing contemporary sources of disruptions/vulnerability and making FCCs more sustainable and resilient are gradually developing. However, an overarching risk management perspective along with incorporating social and environmental dimensions in managing FCCs still needs the adequate attention of the respective research community.Research limitations/implicationsThe deductive internal logic of theory refinement approach used in this paper could have been further strengthened by using additional frameworks. This limitation, however, opens avenues for further research. The findings of the paper will stimulate the interest of future researchers to work on expanding our understanding related to sustainability and risk management in FCCs.Originality/valueThe paper is the first attempt to organize published FCC literature along dimensions of supply chain sustainability and risk management. The paper thus provides the respective researchers with a foundation that will help them adopt a focused approach to addressing the research gaps.

The impact of GHRM and EGB on organization’s financial and operational performance – an empirical analysis on Indian ICT sector

PurposeThe study aims to conduct an empirical research to examine how green human resource management (GHRM) can influence sustainable organizational performance (SOP) in terms of financial performance (FP) and operational performance (OpP), both directly and through employee green behavior (EGB), in the backdrop of the Indian information and communication technology (ICT) sector.Design/methodology/approachThe study is based on primary data collected through a questionnaire survey from 387 employees engaged in the ICT sector. Confirmatory factor analysis validates the measurement model, while structural equation modeling (SEM) using the partial least squares (PLS) method examines the hypothesized relations.FindingsResults confirm that GHRM significantly contributes to EGB, FP and OpP, with a theoretical underpinning concerning resource-based view (RBV) and ability-motivation-opportunity (AMO) concepts. The study also confirms that connections of GHRM with both FP and OpP are significantly and positively mediated by EGB.Practical implicationsThe study provides evidence-based implications of different GHRM practices toward EGB, FP and OpP, which are highly pertinent to strategists, policymakers, managers and supervisors in implementing GHRM for adding value to both operational and financial statements while protecting nature and natural resources through the green efforts of employees.Originality/valueThe study bridges a significant theoretical and practitioner gap by providing a deeper understanding of GHRM as a sustainable human resource management (HRM) model in the context of the Indian ICT sector. It empirically explores the connections between GHRM and OpP, which is a crucial dimension of SOP, and highlights noteworthy implications for promoting EGB, an individual micro-sustainability dimension directed toward the achievement of broader organizational goals, which are essentially oriented to macro-sustainability.

Experimental design for sustainable tourism: a horizon 2050 paper

Purpose This paper aims to uncover the insights derived from past experimental studies in promoting sustainable tourism. It also advocates for leveraging future experimental designs to position tourism as a catalyst for positive change toward sustainable development goals. Design/methodology/approach A review of previous literature examines the contributions of experimental design in both tourist studies and employee studies within the tourism fields. Findings Previous experimental studies have explored effective methods shaping tourists’ sustainable behaviors and management strategies contributing to employees’ decent work. The importance of integrating digital technology in these interventions is highlighted. A future research agenda encompassing three dimensions – technological progress, theory development and practical implications and research design – is proposed to leverage experimental studies for fostering sustainable development within the tourism industry. Originality/value This study, through a comprehensive review, highlights the significant impacts of previous experimental studies on encouraging responsible consumption among tourists and championing improved working conditions for employees. It underscores the necessity for enhanced experimental design, which should integrate theoretical frameworks and prioritize technological innovations to address real-world challenges. These improvements are crucial for advancing the tourism industry toward greater sustainability.

Tripartite interactions of an endophytic entomopathogenic fungus, Asian corn borer, and host maize under elevated carbon dioxide.

Biological control of insect pests is encountering an unprecedented challenge in agricultural systems due to the ongoing rise in carbon dioxide (CO2) level. The use of entomopathogenic fungi (EPF) in these systems is gaining increased attention, and EPF as crop endophytes hold the potential for combining insect pest control and yield enhancement of crops, but the effects of increased CO2 concentration on this interaction are poorly understood. Here, the introduction of endophytic EPF was explored as an alternative sustainable management strategy benefiting crops under elevated CO2, using maize (Zea mays), Asian corn borer (Ostrinia furnacalis), and EPF (Beauveria bassiana) to test changes in damage to maize plants from O. furnacalis, and the nutritional status (content of carbon, nitrogen, phosphorus, potassium), biomass, and yield of maize. The results showed that endophytic B. bassiana could alleviate the damage caused by O. furnacalis larvae for maize plants under ambient CO2 concentration, and this effect was enhanced under higher CO2 concentration. Inoculation with B. bassiana effectively counteracted the adverse impact of elevated CO2 on maize plants by preserving the nitrogen content at its baseline level (comparable with ambient CO2 conditions without B. bassiana). Both simultaneous effects could explain the improvement of biomass and yield of maize under B. bassiana inoculation and elevated CO2. This finding provides key information about the multifaceted benefits of B. bassiana as a maize endophyte. Our results highlight the promising potential of incorporating EPF as endophytes into integrated pest management strategies, particularly under elevated CO2 concentrations. © 2024 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Measurement of sustainable attitudes: a scale for business students

Purpose This study aims to present the development and validation of a scale to measure the attitudes of Latin American business students toward sustainable management practices in the economic, social and environmental dimensions. Design/methodology/approach Using a nonprobabilistic sample, the appreciation for sustainable practices in students (ASP-S) scale was administered to a total of 653 undergraduate and graduate business students in Argentina, Colombia, Mexico and Peru. A range of psychometric validity (construct, convergent and discriminant) and reliability criteria were applied. Findings Construct, convergent and discriminant validity was obtained from the ASP-S scale across all samples. During the internal validation process, two factors were found: systemic consciousness (ten items) and sustainable business leadership (nine items), both of which obtained acceptable reliability indices. The resulting structure is equivalent in all four countries. Originality/value The instrument can be applied by educators and learning assurance areas to diagnose and measure the effectiveness of pedagogical strategies used in sustainability courses taught at Latin American business schools. As a result, it has applications for curriculum design. As a valid and reliable instrument set in the context of regional business praxis, it can promote an understanding of sustainable behaviors and practices in future Latin American leaders.

Towards sustainable precipitation management in Madurai Town Planning Area (India)

This study aimed to look for efficient development strategies towards achieving sustainable precipitation management in the Madurai Town Planning Area (MTPA) in India. In the MTPA, precipitation is the predominant source of freshwater for agricultural and domestic uses in addition to water received through conventional systems. The average annual precipitation in the region is ~ 816 mm with standard deviation of 233 mm. The regression analysis showed that annual precipitation is following a decreasing trend and will be about 716 mm by 2030. The Precipitation Concentration Index (PCI) values ranging from 18 to 20 represented strong irregularities and seasonality in annual precipitation over the study area. March, July, September, and November months contributed 2.5, 6.19, 14, and 16% to annual precipitation, respectively, and all showed decreasing trends over time. Only 20% of Northeast monsoon was active over the past 44 years (1976–2019), resulting in a 15% probability of flood and drought occurrences throughout the MTPA. The long-term (1976–2019) average value of annual precipitation days was about 42. The Concentration Index (CI) showed that 60–70% of precipitation was received within 25% of precipitable days. Daily precipitation class of moderate (7.5–34 mm) and rather heavy (34–64 mm) ranges were the dominant types of precipitation, contributing 46% and 26% to total annual precipitation, respectively. Except for October, the monthly precipitation received was deficit to meet the irrigation water demand in the MTPA. However, development of precipitation harvesting systems can annually preserve about 27 Mm3 freshwater in the urban space of the MTPA.

PENGEMBANGAN INOVASI PRODUK KOMPOSIT MODUL SEKAT KANAL BERBAHAN BAKU SERAT SABUT KELAPA UNTUK PENERAPAN PENYEKATAN KANAL PADA LAHAN GAMBUT

Peatlands in West Kalimantan, Indonesia, are an important ecosystem but are vulnerable to degradation caused by human activities. To overcome this problem, this research introduces a product innovation in the form of a canal-blocking module made from coconut fiber composite for the implementation of sustainable canal straightening. The study involved a series of methodological steps that included a literature study, prototype development, laboratory testing, and field case studies. The research results show that composite canal-blocking modules have significant potential to reduce land subsidence, increase land productivity, and improve the hydrological balance in peatlands. In addition to significant economic benefits for local communities, implementation of this module also has positive impacts on the environment, including habitat protection and reduced greenhouse gas emissions. These findings have important implications for policy-making and planning for peatland management in West Kalimantan, emphasizing the importance of sustainable solutions and community participation in overcoming the challenges faced by this ecosystem. This research highlights the potential for innovative canal block module composite products made from coconut fiber as an important step in efforts to strengthen peatland management in West Kalimantan. The next step is to encourage wider adoption and implementation of these solutions while pursuing further research to deepen our understanding of sustainable peatland management.

Circular Economy Principles and Their Integration into Global Supply Chain Strategies

The concept of circular economy has gained significant traction in recent years as a holistic approach to sustainable development and resource management. This review explores the principles of circular economy and their integration into global supply chain strategies. The transition from a linear 'take-make-dispose' model to a circular model focused on resource recovery, reuse, and regeneration is driving a paradigm shift in how businesses operate and manage their supply chains. Key principles of circular economy, including designing out waste and pollution, keeping products and materials in use, and regenerating natural systems, are examined in the context of supply chain management. Strategies for implementing circular economy principles across various stages of the supply chain, from product design and manufacturing to distribution, consumption, and end-of-life management, are discussed. The review highlights the benefits of adopting circular economy principles in supply chain strategies, including reduced resource consumption, waste reduction, cost savings, and enhanced resilience to external shocks. Case studies and examples from diverse industries illustrate successful implementation of circular economy principles in supply chain management, demonstrating tangible environmental, social, and economic benefits. Challenges and barriers to the adoption of circular economy principles in global supply chains are also addressed, including regulatory hurdles, technological limitations, and cultural barriers. Strategies for overcoming these challenges and promoting a circular mindset among stakeholders are explored, emphasizing the importance of collaboration, innovation, and cross-sector partnerships. The integration of circular economy principles into global supply chain strategies offers significant opportunities for sustainable growth, resilience, and value creation. By embracing the principles of circularity, businesses can unlock new sources of competitive advantage while contributing to the transition towards a more sustainable and regenerative economy. Keywords: Circular Economy, Supply Chain, Sustainability, Integration, Challenges, Opportunities.

Conversion of boreal forests to agricultural systems: soil microbial responses along a land-conversion chronosequence

BackgroundBoreal regions are warming at more than double the global average, creating opportunities for the northward expansion of agriculture. Expanding agricultural production in these regions will involve the conversion of boreal forests to agricultural fields, with cumulative impacts on soil microbial communities and associated biogeochemical cycling processes. Understanding the magnitude or rate of change that will occur with these biological processes will provide information that will enable these regions to be developed in a more sustainable manner, including managing carbon and nitrogen losses. This study, based in the southern boreal region of Canada where agricultural expansion has been occurring for decades, used a paired forest-adjacent agricultural field approach to quantify how soil microbial communities and functions were altered at three different stages post-conversion (< 10, > 10 and < 50, and > 50 years). Soil microbial functional capacity was assessed by quantitative PCR of genes associated with carbon (C), nitrogen, and phosphorous (P) cycling; microbial taxonomic diversity and community structure was assessed by amplicon sequencing.ResultsFungal alpha diversity did not change, but communities shifted from Basidiomycota to Ascomycota dominant within the first decade. Bacterial alpha diversity increased, with Gemmatimonadota groups generally increasing and Actinomycetota groups generally decreasing in agricultural soils. These altered communities led to altered functional capacity. Functional genes associated with nitrification and low molecular weight C cycling potential increased after conversion, while those associated with organic P mineralization potential decreased. Stable increases in most N cycling functions occurred within the first decade, but C cycling functions were still changing 50 years post conversion.ConclusionsMicrobial communities underwent a rapid shift in the first decade, followed by several decades of slower transition until stabilizing 50 years post conversion. Understanding how the microbial communities respond at different stages post-conversion improves our ability to predict C and N losses from emerging boreal agricultural systems, and provides insight into how best to manage these soils in a way that is sustainable at the local level and within a global context.

Trends in Water Quality in a Tropical Kenyan River-estuary System: Responses to Anthropogenic Activities

Aims: To determine the spatial variation in physico-chemical water quality attributes in estuarine ecosystems of South Coast Kenya to inform its management. Study Design: We employed diagnostic research design where such factors as anthropogenic activities, hydrology, and accessibility were considered in choosing 12 sampling stations. A mixed sampling design (probability and non-probability) was used to sample. Place and Duration of Study: Four discharging rivers into estuarine system with a reference point were identified. 12 sampling points were earmarked and sampled for 12 months. Methodology: Nine selected water quality parameters were collected in triplicates monthly for 12 months. Temperature, dissolved oxygen, pH, conductivity, salinity and TDS were collected in situ using YSI Multiparameter meter (Professional plus) while nutrients were analyzed in the laboratory calorimetrically. Data was tested for normality and homogeneity of variances using Levene's and Shapiro-Wilk tests. Two-way analysis of variance (ANOVA), and Principal Component Analysis (PCA) were done using the 64-bit R Software version 4.3.0 to test for significant differences and correlate the parameters among the sampling sites respectively. Observed differences were considered statistically significant at P &lt; 0.05. Results: The measured environmental variables differed significantly among the sampling stations (P &lt; 0.05). temperature and salinity exhibited moderate to strong effect on water quality, while pH and nutrients (phosphates, nitrates, and ammonia) exhibited mixed effects with both negative and positive loadings on the Principal Components. It is demonstrated that the south coast estuary, Kenya is affected by two gradients: mineralization from the sea and the organic matter gradient at the upstream stations dominated by the fluvial inflows from the respective rivers. Conclusion: The south coast of Kenya estuary is impacted by natural processes and anthropogenic activities. we recommend for continued regular water quality assessment and monitoring to acquire sufficient data to shape policy frameworks towards its sustainable management.

Field response and genetic variability of elite spring bread wheat (Triticum aestivum L.) genotypes for septoria tritici blotch under natural infection in Northwest Ethiopia

AbstractFungal diseases cause significant yield loss to wheat production. Septoria tritici blotch (STB), caused by the ascomycete fungus Zymoseptoria trtici, is one of the major fungal diseases affecting wheat production worldwide. In Ethiopia, STB is a severe problem that causes significant yield loss in high and mid‐altitude wheat‐growing areas. The use of resistant varieties is one of the sustainable disease management strategies, particularly for resource‐poor farmers in developing countries. Two hundred and fifty bread wheat genotypes were evaluated to identify septoria tritici resistant genotypes and estimate the extent of genetic variability for resistance to STB and other economically important traits using alpha lattice design under natural infestation in two STB hotspot environments. Analysis of variance revealed highly significant differences among genotypes, environment, and genotype × environment interaction for all traits measured. The genetic coefficient of variance was lower than the phenotypic coefficient of variance for all traits studied, and both test environments showed the influence of the environment on trait expression. High and moderate heritability values were observed for the septoria disease severity parameters, indicating that the STB resistance trait was less influenced by the environment. The days to heading and plant height were inversely correlated with disease severity. This suggests that genotypes with tall plant height and long maturity period could be resistant to septoria tritici blotch through escape mechanisms. Four of the genotypes, namely, G‐215, G‐255, G‐257, and G‐258, were found to be resistant across all locations. These and other promising genotypes will be used in future breeding programmes to select or develop high‐yielding and STB‐resistant bread wheat genotypes that can be deployed in septoria tritici blotch‐prone areas. Highly susceptible genotypes will also be used as controls for STB resistance breeding programmes.

Self-nucleation (SN) and successive self-nucleation and annealing (SSA) as powerful tools to determine the composition of polyolefin post-consumer recycled blends

AbstractFor the incorporation of post-consumer recycled (PCR) resins in mechanical recycling processes, it is crucial to determine their composition accurately. The blends of linear low-density polyethylene (LLDPE) and low-density polyethylene (LDPE) in PCR film resins pose a challenge due to their varying ratios. This study introduces a quantitative method that employs the successive self-nucleation and annealing (SSA) technique to analyze commercial PCR LLDPE/LDPE blend compositions. Our method is an efficient way to assess these blend compositions, offering an improved analysis compared with traditional methods. We established a series of calibration curves based on the SSA final melting trace to validate our approach. The SSA technique's efficacy was compared with the robust NMR method, showing that SSA can predict LLDPE contents in the blends with comparable accuracy. We demonstrate that the SSA methodology is an accurate and reliable technique for assessing complex waste streams, thereby facilitating the optimization of recycling processes and advancing the goals of sustainable materials management.

Studying long term relationship between carbon Emissions, Soil, and climate Change: Insights from a global Earth modeling Framework

The persistent increase in greenhouse gas (GHG) emissions, notably carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), since the mid-20th century has been a key driver of significant climate alterations. This study investigates the complex feedback mechanisms that both influence and are influenced by global climate dynamics, soil processes, and GHG emissions. Our statistical approach incorporates correlation measures, highlighting the limitations of such analyses, namely their inability to confirm causality, sensitivity to outliers, and the exclusive capture of linear relationships. Geographically Weighted Regression (GWR) models reveal spatial variations in the relationship between environmental factors and GHGs, while Path Analysis aids in delineating direct and indirect influences among variables. The research pinpoints significant spatial heterogeneity in the impacts of economic and environmental factors on GHGs, underscoring the necessity of localized strategies for climate change mitigation and sustainable land management. This study also identifies potential threats to agricultural productivity due to soil degradation, which hinder climate adaptation efforts. Our findings advocate for a concerted global response to reduce GHG emissions and address the challenges posed by the interplay of climate change, soil dynamics, and GHG emissions.

Modeling Forest Above-Ground Biomass of Teak (Tectona grandis L. F.) Using Field Measurement and Sentinel-2 Imagery

Over the last few decades, remote sensing has emerged as a dependable and cost-effective method for collecting precise data on forest biophysical parameters, aiding in sustainable forest management and global initiatives to combat climate change. This research aimed to develop a model for estimating the above-ground biomass (AGB) of Teak (Tectona grandis L. F.) by combining field measurements with Sentinel-2 earth observation data. The study took place in 36-year-old teak plantation areas within the Sagarnath Forest Development Project in Nepal’s Sarlahi district. Field measurements were conducted using a destructive systematic sampling method, employing 10 × 10 m2 sample plots, and the volume of logs was determined using Newton’s formula. A total of 30 sample plots were used for calibration, while 10 were utilized for validation purposes. The findings revealed that the average AGB per plot was 814 kg (equivalent to 81.4 t ha−1), with a minimum value of 716 kg (71.6 t ha−1) and a maximum value of 1,060 kg (106 t ha−1). The study utilized five independent variables, namely, the Red band, Green band, Blue band, near-infrared (NIR), and normalized difference vegetation index (NDVI) values from Sentinel-2 imagery data, to develop estimation models. Among the 12 models examined, model M10 proved to be the best fit for accurate AGB estimation (adjusted R2 = 0.9809, RMSE = 0.01269, AIC = −170, and p-value = &lt; 8.39e−21). The equation of the best-fitted model was ln (AGB) = A + B × Red + C × Green + D × Blue2 + E × ln (NIR) + F × ln (NDVI), providing an accurate estimate of AGB. Model validation involved a t-test comparing the observed and calculated AGB values for ten sample plots, demonstrating no significant difference (p-value = 0.3662 &gt; 0.05). This model has the potential to facilitate AGB biomass calculations and carbon stock estimates for teak plantations of similar age groups.

Artificial Intelligence in enhancing sustainable practices for infectious municipal waste classification

This research paper focuses on effective infectious municipal waste management in urban settings, highlighting a dearth of dedicated research in this domain. Unlike general or specific waste types, infectious waste poses distinct health and environmental risks. Leveraging advanced artificial intelligence techniques, we prioritize infectious waste categorization and optimization, integrating metaheuristics into optimization methods to create a robust dual-ensemble framework. Our model, the “Enhanced Artificial Intelligence for Infectious Municipal Waste Classification System,” combines ensemble image segmentation methods and diverse convolutional neural network models. Innovative geometric image augmentation enhances model robustness, diversifies training data, and improves accuracy across waste types. A pivotal aspect is the integration of a reinforcement learning-differential evolution algorithm as a decision fusion strategy, optimizing classification by harmonizing outputs from ensemble methods and convolutional neural network models. Computational results, using a newly collected dataset, demonstrate our model’s accuracy exceeding 96.54% while using the existing solid waste dataset we achieve the accuracy of 97.81%, outperforming advanced approaches by margins ranging from 2.02% to 8.80%. This research significantly advances sustainable waste management, showcasing artificial intelligence’s transformative potential in addressing intricate waste challenges. It establishes a foundational framework prioritizing efficiency, effectiveness, and sustainability for future waste management solutions. Acknowledging the importance of diverse datasets, customization for urban contexts, and practical integration into existing infrastructures, our work contributes to the broader discourse on the role of artificial intelligence in evolving waste management practices.

Towards Sustainable Agriculture: Integrating Agronomic Practices, Environmental Physiology and Plant Nutrition

Sustainable agriculture aims to meet the growing global demand for food without compromising environmental integrity. This review paper explores the integration of agronomic practices, environmental physiology, and plant nutrition as pathways toward sustainable crop production. Intensive agricultural practices have led to significant problems such as soil degradation, loss of biodiversity, and environmental pollution. Recent advancements in plant physiology have enhanced our understanding of plant growth and response to biotic and abiotic stresses. Optimizing crop production in a sustainable manner depends on insights into key processes like photosynthesis, water use efficiency, and nutrient uptake. This review discusses the role of plant growth-promoting microorganisms (PGPMs) as biofertilizers, providing an alternative to harmful agrochemicals. PGPMs can improve soil health and promote plant growth when applied to soil, seeds, or plant surfaces, reducing reliance on synthetic fertilizers and pesticides. Additionally, nanotechnology in agriculture is examined, illustrating how nanomaterials (NMs) and nano-based fertilizers can enhance nutrient absorption and increase crop yields. Beyond these scientific approaches, there is an urgent need to implement novel agricultural practices that support sustainability. The world population is growing at a disquieting rate, placing tremendous pressure on natural resources. This threatens future generations' access to nutritious food and clean air. Innovative approaches like climate-smart agriculture, organic farming, biodynamic agriculture, sustainable intensification, and regenerative agriculture, along with practices such as integrated farming systems, precision agriculture, integrated nutrient management, and integrated pest management, have proven to safeguard agricultural sustainability. By integrating these innovative approaches and practices, it is possible to meet the increasing demands for food while preserving the environment.

A Study on Managing Cultural Diversity and Governance Process in the Education Sector

Background of the study: The domain of education employs people from diverse backgrounds and cultures. Each faculty member has their distinct characteristics and personality traits making it challenging for the Human resource department to keep them all content and satisfied with their work and fellow members under one roof. Aim/Purpose: This study aims to investigate the application of governance for managing cultural diversity among faculty members for achieving sustainable human resource management in Community Colleges. Methodology: A thorough investigation of the conceptual and empirical literature available in the domain has helped create a strong foundation for the research. With the help of an extensive review of the literature, the relationship between diversity management and the governance process among faculty members is reviewed. Findings: Finally, the study concludes with the significance of the relationship between diversity management and the governance process among faculty members to achieve sustainable human resource management in the education sector. Results: Reviewing the correlation between diversity management and the governance process among faculty members solves the problems of communication and interaction among employees having diverse backgrounds. Practical, Research &amp; Social Implications: The paper highlights the need for suitable management of diversity in community colleges which can lead to broader and more impelling implications for the policy makers and the colleges to adopt more welcoming and inclusive principles to cater to all needs and make diversity richer and a strong suit. Originality/value: Sustainable human resource management leads to greater productivity among employees and sustainability for the organization. In the contemporary world where competition is vast, there is a need to maintain internal harmony and balance. Thus, our research provides an in-depth analysis of the myriad ways adopted by the education sector for diversity management and practices and governance process.

Sustainable human resource management and job satisfaction—Unlocking the power of organizational identification: A cross‐cultural perspective from 54 countries

AbstractSustainable human resource management is gaining importance in organizations due to its role in developing a sustainable work environment and well‐being. This paper discusses the relationship between employee perceptions of sustainable human resource management and job satisfaction in 54 countries. We propose that sustainable HRM is positively associated with job satisfaction but that this relationship is moderated by employees' identification with the organization and country‐level individualism–collectivism. Thus, we suggest national culture functions as a second‐level moderator of the relationship of sustainable HRM with organizational identification on job satisfaction. Findings from the multi‐level analyses using data from 14,502 employees nested within 54 countries provided support for our hypotheses, namely that employee perceptions of sustainable HRM were positively associated with job satisfaction and that this relationship was more pronounced for employees with lower levels compared to higher levels of organizational identification in individualistic rather than collectivistic countries. These findings bear important implications for both theory and practice.

A modified co-production framework for improved cross-border collaboration in sustainable forest management and conservation of forest bird populations

The border between Canada and the United States poses jurisdictional challenges when it comes to consistently implementing science-based conservation of forests and their biological communities. Through a partnership with the Sustainable Forestry Initiative, Boreal Avian Modelling Project, and American Bird Conservancy, we developed a co-production framework to conduct research that will inform forest management practices for bird conservation in the cross-border region of Bird Conservation Region 12. Our framework first responds to the needs of resource managers and other perceived stakeholders, while investing in relationship-building for long term trust as a foundation for future partnerships with Indigenous rights holders and landowners. Our central question was: How can sustainably managed forests create and/or maintain high quality breeding habitat to support forest bird populations that are resilient to climate change? Engaging with experts in Canada and the United States, we found that the main driver for addressing our central question was our limitation in connecting bird population responses to specific forest management practices. We describe how experts are contributing avian count and forest inventory data that researchers will use to produce a requested decision-support tool. We continue to engage with land managers to link forest resource inventory data to specific forest management practices and refine the components of products by including more diverse perspectives.

Surface Water Resources Planning in an Ungauged Transboundary Basin Using Satellite Products and the AHP Method

Global concern over optimizing transboundary water resources for residents is hindered by the lack of observational data, particularly in ungauged basins, mainly due to inaccessibility or security issues. Remote sensing and GIS technology provide a practical solution for monitoring and managing water resources in such basins. This research evaluates surface water resources in the Qaretikan ungauged transboundary basin using satellite products for precipitation, temperature, and evapotranspiration from 2005 to 2014. The accuracy of these datasets was assessed using statistical measures. The water balance components, i.e., precipitation and evaporation, were utilized to calculate runoff over the basin using the Justin method. Downstream environmental flow was estimated using the Lyon method, and available water was determined. This study identified a potential annual storage water of 11.8 MCM in the Qaretikan basin. The Analytic Hierarchy Process (AHP) integrated expert opinions to prioritize water usage decisions based on proposed decision options. The results revealed greenhouse cultivation water allocation as the top priority among the identified options, highlighting its importance in sustainable water resource management within the basin.