External Resources Research Articles

Fostering circular economy in small and medium‐sized enterprises: The role of social capital, adaptive capacity, entrepreneurial orientation and a pro‐sustainable environment

AbstractThis study addresses the challenges faced by small‐ and medium‐sized enterprises (SMEs) in undertaking sustainability projects due to limited resources and explores the factors influencing SMEs' adoption of circular economy (CE) practices, an area under‐researched in literature. Analysing data from 205 SMEs in Spain's forest bioeconomy sector using fuzzy sets (fs/QCA), the study finds that internal and external social capital, coupled with adaptive capacity, are crucial influences, particularly when SMEs exhibit an entrepreneurial culture. Conversely, if SMEs do not have an entrepreneurial orientation or the environment is not pro‐sustainable, these three characteristics may lead to low CE adoption. Thus, the study emphasizes SMEs' imperative to cultivate social capital, enhance adaptive capacity, and embrace innovation and risk‐taking to leverage internal and external resources and meet environmental demands, thereby reducing costs and time in adopting CE practices. Additionally, it underscores policymakers' pivotal role in fostering a pro‐sustainable environment, being critical for SME engagement in CE practices.

Integrative analysis of multi-omics data reveals importance of collagen and the PI3K AKT signalling pathway in CAKUT

Congenital Anomalies of the Kidney and Urinary Tract (CAKUT) is the leading cause of childhood chronic kidney failure and a significant cause of chronic kidney disease in adults. Genetic and environmental factors are known to influence CAKUT development, but the currently known disease mechanism remains incomplete. Our goal is to identify affected pathways and networks in CAKUT, and thereby aid in getting a better understanding of its pathophysiology. With this goal, the miRNome, peptidome, and proteome of over 30 amniotic fluid samples of patients with non-severe CAKUT was compared to patients with severe CAKUT. These omics data sets were made findable, accessible, interoperable, and reusable (FAIR) to facilitate their integration with external data resources. Furthermore, we analysed and integrated the omics data sets using three different bioinformatics strategies: integrative analysis with mixOmics, joint dimensionality reduction and pathway analysis. The three bioinformatics analyses provided complementary features, but all pointed towards an important role for collagen in CAKUT development and the PI3K-AKT signalling pathway. Additionally, several key genes (CSF1, IGF2, ITGB1, and RAC1) and microRNAs were identified. We published the three analysis strategies as containerized workflows. These workflows can be applied to other FAIR data sets and help gaining knowledge on other rare diseases.

Sense of coherence as a protective factor of health related quality of life in Iranian older adults

Sense of coherence supports human well-being by using internal and external resources to cope with stress and maintain health. The study was conducted in Qom, Iran from June to October 2022 explored the relationship between sense of coherence and quality of life in elderly Iranians. 300 older adults from a retirement center entered the study via the convenience sampling. Questionnaires of socio-demographic information, quality of life, and sense of coherence were used to collect and analyze the data. The analysis was done using descriptive statistics and multiple linear regression analysis. The majority of participants were male (77.3%) and married (88.7%), and they had a mean age of 64.4 (SD = 5.72) years. Comprehensibility (β = 0.15; P = 0.024), manageability (β = 0.19; P = 0.001), and meaningfulness (β = 0.20; P = 0.001) were associated with better quality of life after controlling for socio-demographic variables. The results indicated that the sense of coherence significantly predicts the quality of life among older adults. Future research should further investigate these findings in diverse populations and work towards developing effective interventions to enhance the quality of life of older adults.

Mediating role of relational capital in the influence of organizational culture on international project performance for construction enterprises

PurposeThis study investigates the influence of market and hierarchy organizational cultures on international project performance and examines the mediating role of relational capital.Design/methodology/approachIn-depth interviews and a cross-sectional questionnaire survey were conducted to collect primary data within international projects. Hierarchical regression analysis was used to test the hypotheses based on data collected from 62 respondents.FindingsThe results reveal that both market and hierarchy cultures affect international project performance positively. Additionally, communication, cooperation and trust help enhance project performance; however, commitment is not. This study also proves the mediating role of relational capital between organizational culture and project performance.Research limitations/implicationsThis study selected only two types of organizational culture represented by Chinese construction enterprises. Future studies can explore the mediating role of relational capital between other varieties of organizational culture and project performance.Originality/valueGiven the high complexity and risks faced by projects abroad, both organizational culture, the internal environmental factor and relational capital being the external resource, are crucial for project success. This study clarifies the relationship between organizational culture, relational capital and project performance overseas. Empirical evidence to enhance international project performance for construction enterprises is provided. This study also makes contributions to international contractors who want to implement projects in developing countries.

Variant graph craft (VGC): a comprehensive tool for analyzing genetic variation and identifying disease-causing variants

BackgroundThe variant call format (VCF) file is a structured and comprehensive text file crucial for researchers and clinicians in interpreting and understanding genomic variation data. It contains essential information about variant positions in the genome, along with alleles, genotype calls, and quality scores. Analyzing and visualizing these files, however, poses significant challenges due to the need for diverse resources and robust features for in-depth exploration.ResultsTo address these challenges, we introduce variant graph craft (VGC), a VCF file visualization and analysis tool. VGC offers a wide range of features for exploring genetic variations, including extraction of variant data, intuitive visualization, and graphical representation of samples with genotype information. VGC is designed primarily for the analysis of patient cohorts, but it can also be adapted for use with individual probands or families. It integrates seamlessly with external resources, providing insights into gene function and variant frequencies in sample data. VGC includes gene function and pathway information from Molecular Signatures Database (MSigDB) for GO terms, KEGG, Biocarta, Pathway Interaction Database, and Reactome. Additionally, it dynamically links to gnomAD for variant information and incorporates ClinVar data for pathogenic variant information. VGC supports the Human Genome Assembly Hg37 and Hg38, ensuring compatibility with a wide range of data sets, and accommodates various approaches to exploring genetic variation data. It can be tailored to specific user needs with optional phenotype input data.ConclusionsIn summary, VGC provides a comprehensive set of features tailored to researchers working with genomic variation data. Its intuitive interface, rapid filtering capabilities, and the flexibility to perform queries using custom groups make it an effective tool in identifying variants potentially associated with diseases. VGC operates locally, ensuring data security and privacy by eliminating the need for cloud-based VCF uploads, making it a secure and user-friendly tool. It is freely available at https://github.com/alperuzun/VGC.

A Study on the Integration of Hainan Culture into College English Teaching Strategies

This study aims to explore the teaching strategies for integrating Hainan culture into college English courses and their impact on students’ learning outcomes. Drawing on relevant statements on cultural confidence, the research employs multiple methods, including questionnaires, in-depth interviews, classroom observations, and performance analysis, to systematically analyze the application effects of Hainan cultural elements in English teaching and student feedback. A survey of 200 students from a university in Hainan revealed that 90% of the students support the integration of Hainan culture into English teaching, 85% believe that this teaching method enhances their learning interest, and 80% think it helps improve cultural awareness. In-depth interview results show that both students and teachers agree that integrating culture into teaching not only improves English proficiency but also enhances cultural pride. Classroom observations indicate that students in the experimental class have significantly higher participation and interaction frequencies compared to the control class. Performance analysis shows that the English scores of students in the experimental class increased by 15%, significantly higher than the 5% increase in the control class. Comprehensive analysis results demonstrate the effectiveness of integrating Hainan culture into college English teaching. It is suggested that future teaching further enrich cultural content, innovate teaching methods, strengthen teacher training, improve evaluation mechanisms, promote interdisciplinary cooperation, and utilize external cultural resources to enhance students’ cross-cultural communication skills and overall competence.

The impact of family climate on problematic internet use: Findings from one nationwide study in China

BackgroundWith the growing attention paid to problematic internet use (PIU), this study aims to i) explore the prevalence of PIU based on a nationally representative sample and ii) propose and validate the theoretical model that correlates family climate with PIU. MethodsOne national cross-sectional study was conducted with probability sampling and stratified sampling. Overall, 21,854 sample were included and analyzed. Validated measures of family climate, loneliness, and PIU was distributed and collected from June 2022 to August 2022. ResultsThe overall prevalence of PIU in the sample population is approximately 30.86 %. The model findings showed that family communication and family health had indirect effects of −0.12 and − 0.05 on PIU by the mediating effects of loneliness. The indirect effect explained 80.0 % of the total effect of family communication on PIU and 38.5 % of family health on PIU, highlighting the dominance effects of path family communication and PIU via loneliness. Extended family type (−0.047, p = 0.050), low family income (income≤3000 group, −0.127, p < 0.001) were identified as protective factors against PIU, while not living with family members (0.034, p = 0.021) was identified as risk factors of PIU. LimitationsThe nature of cross-sectional data have the limitation of preventing examining the casual relationships of PIU and the loneliness and family climate, in which future longitudinal study design is needed. ConclusionsThe high prevalence of PIU should be given adequate attention. Optimizing the family climate or family atmosphere by improving positive communication skills, providing family support and family health external resources can be served as effective strategies for controlling PIU.

Thermodynamic Sustainability Assessment of Turkish Cash and Feed Crops: Evaluations and Recommendations

ABSTRACTThis work analyzes the sustainability status of cash crops (rice, wheat, and sunflower) and feed crops (silage and clover) cultivation in Turkey through thermodynamic sustainability assessment technique, emergy analysis (EA). EA offers insights into agricultural system's dependence on external resources, environmental loading, and renewability by classifying the resources that drive agricultural production as renewable, nonrenewable, and purchased. Data belonging to 17 agricultural systems evaluated in this work are gathered through survey method by interviewing the farmers. EA results reveal that production of cash crops is essentially unsustainable due to high dependence on externally purchased inputs fertilizer, diesel, and nonrenewable input water. Of cash crops, rice production has the lowest system renewability and the highest environmental loading. In feed crops, silage production is mainly unsustainable and clover production is in transition state in terms of sustainability. Feed crop production creates less environmental loading than cash crop production mainly due to being partially integrated with husbandry. Coinciding with this, the level of organic fertilization is found to be the determining factor in the sustainability status of the feed crop systems. Transforming these systems to sustainable ones requires increasing system's self‐sufficiency through enhanced circularity (increased nutrient recycling) and functioning of natural processes. Consequently, we recommend growing crops in polycultures rather than monocultures to benefit from sister plant and predator–prey relations, integrating crop production with animal rearing (natural fertilization) and utilizing waste‐origin bioenergy. For resource efficiency, we suggest adopting methods such as drip irrigation and utilization of biodegradable polymer‐coated fertilizer grains to prevent fertilizer runoffs.

Navigating chaos: IGAD's efforts Amidst Somalia's Governance crisis

This study investigates how effectively Intergovernmental Authority on Development (IGAD) has addressed the crisis in Somalia since 1991, using realism theory as its analytical framework. It employs a qualitative case study approach to delve into IGAD's interventions and their implications, conducting an in-depth analysis of IGAD's official documents, resolutions, and crisis-related reports concerning Somalia. By applying realism theory, the study scrutinizes IGAD's actions and motivations from a perspective centered on power politics, highlighting the significance of state interests and regional stability. It suggests that IGAD member states may resist to cooperate when they perceive IGAD's engagement in Somalia is regarded as a threat to their security interests. Despite IGAD's numerous peace initiatives, achieving sustainable peace in Somalia remains elusive. The paper asserts that while IGAD has made substantial efforts to resolve the Somalia conflict, its effectiveness has been constrained by the complexity of the conflict, external influences, and divergent interests among member states. To enhance IGAD's effectiveness, the study recommends various actions, including promoting regional economic integration, mobilizing external resources, improving transparency and accountability, fostering regional identity and solidarity, and maintaining a balanced power dynamic to prevent dominance by any single entity. Applying these measures could significantly improve IGAD's capacity to support peace and stability in Somalia and the entire East Africa region.

Agentic AI: The building blocks of sophisticated AI business applications

Language models (LMs) like GPT-4’s ability to predict word sequences have made tasks such as summarisation and translation significantly easier. They often struggle, however, with complex reasoning tasks that require deliberate, multi-step processes. To address these limitations, the concept of agentic artificial intelligence (agentic AI) is introduced, where LMs are organised into workflows that mimic human-like iterative reasoning. This paper explores the four pillars of agentic AI frameworks: tool use, reflection, planning and multi-agent collaboration (MAC). Tool use allows LMs to access external resources such as search engines to enhance accuracy; reflection enables self-correction and iterative feedback; planning ensures the structured breakdown of tasks; and MAC involves multiple LMs collaborating on specific subtasks. The paper then compares and contrasts various MAC frameworks based on the inclusion of tool use, reflection and planning abilities, as well as the flow and control of information between different agents. Finally, potential use cases for MAC frameworks are discussed.

Стратегічні засади переформатування логістичних ланцюгів агропродовольчої продукції в систему замкнених циклів у парадигмі циркулярної економіки

The article reveals the features of transforming the logistics chains of agri-food supply into a system of closed cycles. Also, it suggests strategies for reformatting the logistics chains of agri-food products into a system of closed cycles. In particular, a scheme for the operational implementation of the transformational processes of reformatting the logistics chains of agro-food products into a system of closed cycles is proposed. It has been established that one of the critical aspects of the circular agricultural economy is the return of nutrients to the soil through the processing of bio-waste and renewable fertilizers, which contributes to the preservation of fertility and natural capital. This is critical to prevent nutrient deficiencies in agriculture and reduce pollution. Organic and food waste management is at the heart of the transition to circular agriculture, which minimizes dependence on external resources, mitigates environmental impact, and uses waste to create bioenergy and biofertilizers. The number of fines imposed on business entities for violating the legislation in the field of household waste management in Ukraine has been determined. It is substantiated that the experience of foreign countries indicates the critical direction for developing a national strategy for the transition to a circular agro-food economy of Ukraine based on the principles of sustainable development. Among the main development strategies, the following stand out: the strategy of clean, sustainable growth, focused on minimizing climate change and stimulating eco-innovations; bioeconomy strategy, which involves the use of biological resources for sustainable development and preservation of biodiversity; as well as a national waste management strategy that emphasizes the minimization of agricultural waste and the support of closed production cycles. Keywords: circular economy, sustainable development, agrarian sector of the economy, supply chains, disposal of food waste, development strategies.

Renewable energy-powered water desalination and treatment network under wind power and water demand uncertainty: A possibilistic chance-constrained programming

Given the scarcity of freshwater resources, the growing significance of desalination is undeniable. It holds immense potential, particularly in regions grappling with severe water shortages. However, desalination's Achilles heel lies in its voracious energy appetite, requiring roughly ten times more energy than wastewater treatment. Moreover, the prevalent use of fossil fuels in desalination plants poses concerning issues like environmental pollution, fossil fuel depletion, and rising costs. The present study has designed an integrated Water desalination and treatment Network that includes a number of desalination facilities, storage centers, wind farms, and wastewater treatment facilities. The water desalination and treatment network has been structured using a Mixed-Integer Linear Programming (MILP) model, considering uncertainties in wind power and water demand. Employing a chance constraint probabilistic programming approach, this model ensures robustness and balances conservatism with investment attractiveness. It aims to enhance resilience against fluctuations in wind energy and water demand within the water and energy supply chain network. The study applied this model to optimize the locations of desalination plants, treatment centers, and storage facilities. This integrated model ensures autonomy, eliminating the need for external water and energy sources while reliably meeting regional demands. In the context of the Makran coasts case study, our comprehensive mathematical model demonstrates an optimal allocation with 96.67 % attributed to fixed costs and only 3.33 % to variable costs. Moreover, this model precisely optimizes the locations of two desalination centers, two storage facilities, and ten water treatment centers, effectively managing the need for external water resources. Ultimately, through a rigorous sensitivity analysis, we unveiled that the chance constraint parameters have a significant impact on the variable costs.

Cross-lingual Natural Language Processing on Limited Annotated Case/Radiology Reports in English and Japanese: Insights from the Real-MedNLP Workshop.

Textual datasets (corpora) are crucial for the application of natural language processing (NLP) models. However, corpus creation in the medical field is challenging, primarily because of privacy issues with raw clinical data such as health records. Thus, the existing clinical corpora are generally small and scarce. Medical NLP (MedNLP) methodologies perform well with limited data availability. We present the outcomes of the Real-MedNLP workshop, which was conducted using limited and parallel medical corpora. Real-MedNLP exhibits three distinct characteristics: (1) Limited Annotated Documents: The training data comprises only a small set (approximately 100) of case reports (CRs) and radiology reports (RRs) that have been annotated. (2) Bilingually Parallel: The constructed corpora are parallel in Japanese and English. (3) Practical Tasks: The workshop addresses fundamental tasks, such as named entity recognition and applied practical tasks. We propose three tasks: named entity recognition (NER) of approximately 100 available documents (Task 1), NER based only on annotation guidelines for humans (Task 2), and clinical applications (Task 3) consisting of adverse drug effects (ADE) detection for CRs and identical case identification (CI) for RRs. Nine teams participated in this study. The best systems achieved 0.65 and 0.89 F1-scores for CRs and RRs in Task 1, whereas the top scores in Task 2 decreased by 50-70%. In Task 3, ADE reports were detected by up to 0.64 F1-score, and CI scored up to 0.96 binary accuracy. Most systems adopt medical-domain-specific pre-trained language models using data augmentation methods. Despite the challenge of limited corpus size in Tasks 1 and 2, recent approaches are promising because the partial match scores reached approximately 0.8-0.9 F1-scores. Task 3 applications revealed that the different availabilities of external language resources affected the performance per language.

Success story or tall tale? Discursive cooperation and economic restructuring in Iceland

Political economists have long recognized the power of ideas to influence economic adjustment by shaping public policy and fostering inter-firm coordination. This article extends this argument, demonstrating how ideas can have a direct and unmediated impact on economic restructuring. More specifically, it identifies discursive cooperation, or collective storytelling, as a distinct logic of collective action, separate from policy concertation and inter-firm coordination. Examining twenty first century Iceland, this article illustrates how shared narratives accelerated the country’s movement into financial services and tourism by facilitating the diffusion of new business models and attracting external resources. Absent inter-firm coordination, policy concertation, or supportive public policies, however, stakeholders struggled to invest in public goods. Instead of incremental upmarket movement, Iceland was characterized by volatile boom-bust dynamics. In illustrating the transformative power of storytelling in small open economies, this article simultaneously highlights the perils of relying on discursive cooperation alone.

The impact of mental health and the COVID-19 pandemic on employability and learning outcomes: evidence from Taiwanese University students

In response to the emergence of COVID-19, schools were forced to adopt online learning, which later transitioned into a hybrid mode of teaching. However, these changes in the teaching and learning mode may have an adverse effect on mental health, thereby affecting learning outcomes. Therefore, providing immediate resource support for disadvantaged groups may improve students’ learning outcomes. This study investigated the impact of mental health on employability, learning outcomes in the context of blended learning, and the support provided by school resources among college students. We then analyzed survey data from university students and examined the associations among mental health, employability, learning outcomes before and after blended learning, frequency of seeking counseling, and school resource support. The research findings indicate that as the severity of mental health worsened, participants perceived lower learning ability for their future careers. Moreover, during the pandemic, there were variations in learning outcomes for students exposed to blended learning, but it was found that female students demonstrated better learning outcomes. It was also determined that it is beneficial for disadvantaged students to promptly apply for school resource support, as such support can contribute to improved learning effectiveness. Establishing mental health prevention mechanisms and providing school and external resources in a timely manner are the best solutions for helping students learn.

Self-control as mediator and social support as moderator in stress-relapse dynamics of substance dependency

Substance Use Disorders (SUDs) present a significant challenge to global public health, with prolonged drug use not only impairing individual health but also hindering social development. Despite various interventions aimed at addressing drug abuse and dependence, a high relapse rate remains a prominent issue. In light of this, this study aims to explore the impact of perceived stress on the relapse of individuals with SUDs, as well as the mediating role of self-control and the moderating role of social support, in hopes of providing new perspectives for interventions to reduce the risk of relapse among individuals with SUDs. By utilizing a convenience sampling method, 420 male individuals with SUDs were recruited from detoxification centers in Guangxi, China. They completed questionnaires on perceived stress, self-control, social support, and tendencies towards relapse. A total of 401 valid datasets were obtained and analyzed using the SPSS Process plugin to conduct a moderated mediation model analysis. Results: (1) Perceived stress had a positive impact on the relapse of individuals with SUDs, (2) Self-control played a partial mediating role between perceived stress and the relapse, (3) The direct effect of perceived stress on the relapse and its first half of the indirect effect were moderated by social support. The research emphasize the critical importance of learning stress management strategies, enhancing self-control, and receiving comprehensive social support in the prevention and treatment of substance dependence. By strengthening self-control and social support as both internal and external resources, the likelihood of relapse among individuals with SUDs can be reduced, contributing to more effective and comprehensive drug rehabilitation strategies.

Venture Capital Syndication under Social Network Theory: Literature Review and Prospect

As an important channel for start-ups to obtain R&amp;D funds and external knowledge and information resources, and as one of the key methods for investment institutions to leverage scale and synergy effects to enhance investment returns, venture capital syndication holds significant research value in the field of venture capital. This paper reviews the literature, summarizing the motivations behind the formation of joint investment networks, the conceptual characteristics of the three core theories of social network theory, and the empirical research on venture capital syndication within the framework of social network theory. It also highlights the existing research results, identifies gaps, and anticipates future research directions.

Exit, or Voice? A Quantitative Investigation of Out Migration Intentionality From Venezuela

Executive Summary Why some residents around the world facing chronic and acute stressors seek to exit their home communities while others do not, remains an unanswered question. People living in Venezuela face poverty, inflation, and food shortages and hold strong reasons to seek life elsewhere. Using a new survey of 100 residents in two communities in Venezuela — Santa Rita and Maracaibo — we qualitatively and quantitatively capture the intention to leave a failing state along a variety of potential explanatory characteristics at the individual and environmental levels. Testing the relationship with several sets of factors, including social capital, access to critical infrastructure, and anxiety about the political and economic environment, we find that optimism and access to electricity strongly correlate with intention to depart. Venezuelans who hold positive views of the future and have more regular access to electricity indicate less desire to emigrate, while individual and communal resources like social capital and individual resources like access to US dollars have no measurable impact. These findings bring with them important policy recommendations for NGOs and policymakers alike. Policies that promote optimism and psychological well-being within communities may indirectly contribute to reducing emigration intentions. Moreover, policymakers should be aware of the limits of bonding ties in helping communities experiencing multidimensional shocks. Our findings also point to the limited effectiveness of external resources in fostering a desire to stay and improve local conditions, and instead reinforce the importance of critical conditions at home.

Analyzing performance and microbial mechanisms in an incineration leachate treatment after waste separation: Integrated metagenomic and metaproteomic analyses

The absence of food waste after separation poses a significant challenge to incineration leachate treatment, as it decreases the C/N ratio and COD of leachate, greatly impacting the biological treatment process. A one-year in-situ study was systematically conducted in an incineration leachate treatment plant that experienced waste separation, focusing on the variations in carbon and nitrogen removal performance as well as the involved microbial mechanism of the “anaerobic digestion (AD) + two-stage A/O” process. Results indicated that the biodegradability of leachate significantly decreased over time, with COD concentration decreasing by 10 times and the average C/N ratio decreasing from 12.3 to 1.4. The AD process was maintained stable, achieving a COD removal efficiency exceeding 92 %. The nitrification process also remained stable; while the denitrification process was significantly affected, and a nine-fold increase in external glucose addition was required to achieve a nitrogen removal efficiency of 85 %. Metagenomic analysis indicated that comammox Nitrospira (contributing 90 % to ammonia monooxygenase) occupied the dominant position over Nitrosomonas for nitrification due to the low NH4+-N concentration in A/O tanks (<35 mg/L), and Methanothrix was substituted by Methanosarcina for methanogenesis in AD unit. Metaproteomic results further elucidated that the expression of enzymes responsible for denitrification process, i.e., Nir, Nor, Nos (convert NO2− to N2), was decreased significantly, although the expression of enzymes related to glycolysis and TCA cycle were stimulated by glucose addition. The expression of Nar (convert NO3−-N to NO2−-N) remained stable, while the imbalance expression within denitrifying enzymes might have facilitated occurrence of partial denitrification, attributed to the low C/N ratio. The results prove that the function robustness and metabolic versatility were achieved in leachate treatment plant after waste separation but at the cost of the high external carbon resource addition, highlighting the urgent requirement for low-carbon nitrogen removal technologies.

You Reap What You Sow: Customer Courtesy and Employees' Prosocial Service Behavior.

Smooth and effective interactions between customers and customer-contact employees are important for building seamless service delivery. The present study examined the influence of customer courtesy on customer-contact employees' prosocial service behavior. Additionally, the mediating role of organization-based self-esteem and the moderating role of focus of attention at work are investigated. Data were collected from 401 customer-contact employees from the South Korean hospitality industry. The results demonstrated that customer courtesy positively influenced prosocial service behavior, and organization-based self-esteem mediated this relationship. Furthermore, employees' focus of attention at work moderated the relationship between customer courtesy and organization-based self-esteem, such that the relationship was stronger for employees with a high focus of attention. Similarly, the focus of attention also moderated the relationship between organization-based self-esteem and prosocial service behavior. The findings have important theoretical and practical implications by demonstrating the role of external resources to promote prosocial service behavior.