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This study is motivated by the importance of building an effective patient safety culture in the hospital environment, which can be influenced by factors such as clinical leadership and work engagement. This study aims to analyze the effect of Clinical Leadership and Work Engagement on patient safety culture mediated by Interprofessional Collaboration of nurses at Emhaka Hospital. The research design used was quantitative with a cross-sectional approach. The study sample consisted of 118 nurses selected using purposive sampling techniques and calculated using saturated side. Data were collected through a 4-point Likert scale questionnaire, which included the variables of Clinical Leadership, Work Engagement, Interprofessional Collaboration, and Patient Safety Culture. Data analysis was performed using SEMP-PLS (Structural Equation Modeling Partial Least Squares) software. The results showed that Clinical Leadership and Work Engagement had a significant effect on Patient Safety Culture, both directly and through the mediation of Interprofessional Collaboration. These findings emphasize the importance of improving clinical leadership and nurse involvement in improving interprofessional collaboration, which in turn can strengthen patient safety culture at Emhaka Hospital. This study contributes to the development of hospital policies that focus on improving patient safety through effective leadership and increasing nurse work engagement.  

This research investigates the integration of renewable energy systems within coastal conservation areas through public-private partnership (PPP) frameworks to achieve dual objectives of environmental sustainability and economic development. The study addresses the critical challenge of balancing energy infrastructure development with ecological preservation in sensitive coastal ecosystems, where biodiversity and community livelihoods are often at risk due to increasing industrial and urban pressures. A mixed-methods approach is employed, combining case study analysis, stakeholder interviews, and economic modeling, to generate a comprehensive perspective on the opportunities and constraints of renewable energy deployment in these regions. Case studies highlight successful international practices of PPPs that have facilitated renewable energy projects while safeguarding marine and coastal ecosystems. Stakeholder interviews with government agencies, local communities, and private sector representatives reveal the importance of transparent governance, shared responsibility, and inclusive participation in ensuring long-term project sustainability. Economic modeling further demonstrates that well-structured PPP models can reduce implementation costs by 30–40% while adhering to biodiversity conservation standards and regulatory frameworks. Findings underscore that renewable energy projects, when embedded within collaborative governance structures, not only contribute to reducing carbon emissions but also create employment opportunities, stimulate local economies, and enhance community resilience. This study contributes to the sustainable development literature by providing an actionable framework for integrating renewable energy infrastructure in environmentally sensitive areas through PPPs. The proposed framework emphasizes adaptive policy design, capacity building, and equitable benefit-sharing, offering practical insights for policymakers, practitioners, and researchers seeking to reconcile energy needs with ecological protection in coastal regions.

This study aims to explain and test hypotheses regarding the influence of customer experience and product variation on consumer purchase decisions at Mie Judes Sambi Kediri, with brand image as a mediating variable. This research uses an associative approach with a quantitative method. The sampling technique employed is purposive sampling, involving 100 respondents who are consumers of Mie Judes Sambi. Data were collected through questionnaires, observations, documentation, and literature studies. The analysis technique used is Structural Equation Modeling (SEM) based on Partial Least Square (PLS), processed using SmartPLS version 4.1.1.2, which includes testing the outer model, inner model, and hypothesis testing. The results of the study indicate that customer experience and product variation have a positive and significant effect on brand image and purchase decisions. Brand image also has a significant influence on purchase decisions. Furthermore, brand image is proven to significantly mediate the influence of customer experience and product variation on purchase decisions. These findings affirm that enhancing customer experience and providing product variations that align with consumer preferences play a crucial role in building a strong brand image, which ultimately impacts consumer purchase decisions at Mie Judes Sambi Kediri.

The increase in traffic volume in urban areas often triggers various problems, especially at Road intersection points that have a high level of interaction between vehicles. One of the locations that experience these problems is the intersection with the island of traffic without signal on Jl. Tebu-Jl. Tabrani Ahmad, City Of Pontianak. This study aims to analyze the performance of the intersection in the existing condition and project its performance in the next five years (2030), as well as formulate alternative treatment that can improve the smoothness of traffic. The analysis method refers to Indonesian road capacity guidelines (PKJI) 2023 and modeling using software PTV VISSIM. The data collected include intersection geometry, traffic volume, and vehicle speed. Traffic volumes were obtained through CCTV recordings for three consecutive days, then processed and presented in the form of tables and graphs for easy interpretation. The results of the existing condition analysis showed that the degree of saturation (DS) reached 0.407 with an average delay of 9.539 seconds (Level of Service/LOS B) based on PKJI, while VISSIM simulation resulted in a delay of 12.54 seconds (LOS B). The five-year projection (2030) shows an increase in DS to 0.878 with a delay of 15.177 seconds (LOS C) from PKJI, and 23.35 seconds (LOS C) from VISSIM, which indicates a decrease in Junction performance as traffic grows. Two handling alternatives were analyzed, namely the construction of roundabouts and the implementation of traffic flow management. VISSIM simulation shows that the roundabout can reduce the delay to 14.31 seconds with a queue length of 20.34 m (LOS B), while the flow management produces a delay of 11.81 seconds with a queue of 13.14 m (LOS B). This result confirms that both alternatives are able to improve the performance of the intersection compared to the projected condition without handling, so that it can be a technical recommendation for urban traffic planning in Pontianak.

This study aims to analyze the role of psychological well-being as a mediator in the influence of emotional, spiritual, and intellectual intelligence on lecturer performance, with job demands as a moderating variable. The study used a quantitative design with a survey method on 130 university lecturers. Data were collected through a structured questionnaire that measured emotional, spiritual, intellectual intelligence, psychological well-being, job demands, and lecturer performance, then analyzed using structural equation modeling (SEM-PLS). The results showed that emotional intelligence did not significantly influence lecturer psychological well-being or performance. Intellectual and spiritual intelligence had a significant positive effect on psychological well-being, but did not have a direct impact on performance. Psychological well-being was also not proven to be a mediator in the relationship between the three intelligences and performance. Conversely, job demands had a strong and significant direct influence on lecturer performance, although its moderating role in the relationship between psychological well-being and performance was not supported. These findings confirm that external factors such as workload and job pressure are more dominant in determining lecturer performance than internal psychological factors. Practically, the implications of this study encourage universities to manage workload distribution proportionally, provide organizational support, and create a conducive work environment. Theoretically, this study enriches the Job Demands–Resources framework by demonstrating that psychological well-being has a limited impact when job demands are high. Future research is recommended using more valid instruments and longitudinal designs to gain a deeper understanding.

Hospitals need to make various efforts to improve the quality of service in order to attract new patients and retain them. However, retaining existing patients is more difficult than attracting new patients. This study aims to analyze the effect of brand repositioning and social media communication on revisit intention with hospital brand gestalt as an intervening variable at Unimedika Sepatan Hospital, Tangerang. Brand repositioning and communication through social media are important strategies in increasing patient loyalty and intention to reuse hospital services. Hospital brand gestalt, which reflects the patient's holistic perception of the hospital brand, is hypothesized as a factor mediating the relationship between brand repositioning, social media communication, and revisit intention. The research method used is quantitative with a survey approach to 260 respondents who have used Unimedika Sepatan Hospital services. Analyzed using Structural Equation Modeling with the help of AMOS software to test. The results showed that brand repositioning and social media communication significantly positively influenced hospital brand gestalt. Hospital brand gestalt was proven to have a significant influence on revisit intention. These findings indicate that hospital brand gestalt plays a mediating role in the relationship between brand repositioning, social media communication, and revisit intention. The implications of this study emphasize the importance of an effective brand repositioning strategy and the use of social media communication to build positive patient perceptions of the hospital brand, which can increase patient intention to revisit services. Unimedika Sepatan Hospital is advised to strengthen its brand positioning and increase interaction through social media.

This research was conducted with the aim of optimizing the assignment of working hours in the Procurement Division of PT. Pelindo Multi Terminal through the application of the Hungarian method. The fundamental problem faced is the imbalance between the number of permanent workers and the high workload that must be completed, thus creating a risk of inefficiency in the operational process. To address this problem, a quantitative approach was used with linear programming modeling techniques designed to produce a more systematic and measurable assignment allocation. Through the analysis conducted, an optimal solution was obtained regarding the distribution of working hours, where the total working time can be reduced to 10,120 minutes per month, lower than the previously set maximum limit of 10,560 minutes per month. These results indicate that the application of the Hungarian method is not only able to reduce excessive workloads on some employees, but also ensures a more proportional distribution of assignments among all available workers. In addition, this method can increase operational effectiveness because each worker receives a load according to their capacity, so that the risk of fatigue or decreased performance can be minimized. The findings of this study confirm that the Hungarian method is an alternative work scheduling strategy that is efficient to be applied in industrial environments with high task complexity. Proper implementation can also support the achievement of overall company productivity, improve the quality of human resource management, and strengthen the company's competitiveness in facing future operational challenges.

This study analyzes the application of the compound interest concept in evaluating capital growth among vegetable vendors at the MMTC Traditional Market in Medan, North Sumatra. The research highlights the low level of financial literacy among micro-entrepreneurs in Indonesia, which currently stands at only 38.03%, and its implications for business sustainability. Traditional market traders generally employ basic bookkeeping practices focused solely on daily cash flow, without considering the time value of money or the growth potential from systematic profit reinvestment. Using a mixed-methods approach, this study combines semi-structured interviews to explore existing financial management practices with quantitative modeling based on the discrete compound interest formula to simulate various capital growth scenarios. The analysis reveals that disciplined reinvestment strategies, even when initiated with modest capital and conservative growth rates, can lead to substantial capital accumulation within three to five years. Three primary barriers to capital growth were identified: limited understanding of financial mathematics, lack of long-term planning, and a tendency to prioritize immediate consumption over investment. This research underscores the transformative potential of compound interest principles for micro-enterprise development and recommends practical financial literacy training along with supportive financial ecosystems that encourage sustainable reinvestment practices.

Coal is one of the main energy sources and the largest contributor to national revenue; however, its management faces challenges related to limited availability and accuracy in reserve estimation. An essential aspect of mining management is monitoring the Run of Mine (ROM) volume, which plays a critical role in crushing, washing, and blending processes. This study aims to compare the accuracy of ROM volume measurements using Terrestrial Laser Scanner (TLS) and Unmanned Aerial Vehicle (UAV) methods in the production area of PT FAD, Berau Regency, East Kalimantan. A quantitative descriptive approach was employed, involving field data acquisition, three-dimensional modeling, and volume analysis using specialized software. The results show that ROM volume measured with TLS was 1,407.669 lcm, while UAV produced 1,387.357 lcm, with a difference of 20.312 lcm or 1.45%. This deviation is within the ASTM D6172-98 tolerance limit (<2%), indicating that both methods are valid. Although TLS offers higher accuracy, UAV is more effective and efficient in terms of measurement time, making it a reliable alternative for modern mining monitoring. This study provides practical insights for the mining industry in selecting ROM volume measurement methods that are not only accurate but also efficient in supporting sustainable operations and data-driven decision-making.

Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service delivery. This approach involves modeling arrivals and service processes, applying queuing models (such as single-server, multi-server, and priority queues), and formulating optimization objectives—often to minimize total costs, patient waiting times, or resource idling. Recent research demonstrates that combining queuing theory with mixed-integer programming and simulation techniques enables healthcare managers to allocate resources dynamically, set staffing levels, and assign priorities among different patient categories. For example, the use of mixed-integer programming can determine the optimal number of servers, beds, and service rates based on patient flow and priority needs, striking a balance between reducing waiting times for critical cases and controlling operational costs. These mathematical models also account for practical constraints and stochastic variability inherent in clinical settings. Applications span emergency departments, outpatient clinics, and even pharmacy and blood service centers—showing significant improvements in system efficiency, reduced patient wait times, and enhanced overall care quality. Thus, mathematical programming is a powerful decision-support tool for queue management, offering evidence-based strategies to address congestion and resource allocation challenges in complex healthcare environments.

This study aims to analyze the effect of workload and compensation on turnover intention, with job satisfaction serving as a mediating variable. The research was conducted at PT Aerofood ACS Denpasar, a company engaged in catering services, involving a total of 150 employees. The sample size was determined using a non-probability sampling technique with a quota sampling approach to ensure representativeness of the respondents. Data collection was carried out through a structured questionnaire distributed via Google Forms, consisting of 25 measurement items based on a 5-point Likert scale ranging from strongly disagree to strongly agree. This quantitative research design employed both descriptive analysis and inferential statistical testing through Structural Equation Modeling–Partial Least Squares (SEM-PLS) using SmartPLS 4.0 software. The results of the analysis indicate that workload has a negative and significant influence on job satisfaction, suggesting that higher workload levels tend to reduce employees’ satisfaction with their jobs. On the other hand, compensation demonstrates a positive and significant influence on job satisfaction, indicating that adequate and fair compensation can enhance employees’ feelings of fulfillment and fairness within the organization. Furthermore, job satisfaction is found to have a negative and significant effect on turnover intention, meaning that employees who are more satisfied with their jobs are less likely to develop intentions to leave the company. The mediating test reveals that job satisfaction plays a crucial role in bridging the relationship between workload and turnover intention, as well as between compensation and turnover intention. Specifically, job satisfaction partially mediates the negative impact of workload on turnover intention and the positive impact of compensation on turnover intention. Overall, this research highlights the importance of managing workload effectively and providing fair compensation as strategic efforts to enhance job satisfaction and reduce employees’ tendency to leave the organization.

This study investigates the influence of an online attendance system and digital literacy on teacher discipline and performance in elementary schools. A quantitative explanatory research approach was employed to provide empirical evidence regarding these relationships. The research population consisted of 170 elementary school teachers in Bojong District, Pekalongan Regency, who were selected using proportional stratified random sampling to ensure representativeness. Data were collected through a structured questionnaire using a 5-point Likert scale, and analyzed with Structural Equation Modeling (SEM) through the Partial Least Squares (PLS-SEM) approach using SmartPLS 4.0 software. The measurement model evaluation demonstrated strong reliability and validity across all constructs. Cronbach’s Alpha values ranged between 0.820 and 0.872, Composite Reliability between 0.881 and 0.911, and Average Variance Extracted (AVE) between 0.649 and 0.718. Discriminant validity was confirmed based on both the Fornell-Larcker Criterion and the Heterotrait-Monotrait Ratio (HTMT). The structural model showed good predictive relevance with a Goodness-of-Fit (GoF) value of 0.366, indicating a large effect. Hypothesis testing results supported all proposed relationships. Digital literacy was found to positively influence teacher performance, while the online attendance system significantly affected both teacher discipline and teacher performance. Furthermore, teacher discipline was proven to have a positive effect on teacher performance. Mediation testing revealed that teacher discipline acted as a significant partial mediator in the relationships between digital literacy, online attendance systems, and teacher performance. The findings provide empirical validation for the Task-Technology Fit Theory and the TPACK Framework in the context of educational human resource management. This study confirms that digital transformation, through strengthening digital literacy and online systems, represents an effective strategy to improve teacher professionalism and enhance academic quality in elementary schools.  

This study was conducted to explore in depth how ethical pressure, ethical orientation, and religiosity influence earnings management practices, while also examining whether religiosity plays a role as a moderating variable in this relationship. Using a quantitative, survey-based approach, this study involved 109 respondents with professional backgrounds and experience in accounting and finance, thus deemed relevant in understanding the phenomenon of earnings management from a practitioner's perspective. The data analysis technique used was Partial Least Square Structural Equation Modeling (PLS-SEM), which is considered appropriate for examining relationships between latent variables with high complexity. The results show that ethical pressure has a positive and significant influence on earnings management practices, meaning that the greater the ethical pressure a person feels, the higher the tendency to engage in such practices. Conversely, ethical orientation shows a negative and significant influence, so that individuals with a strong ethical orientation tend to reject this manipulative practice. Religiosity is also shown to have a significant negative influence, so that the higher a person's level of religiosity, the lower their tendency to engage in earnings management. Furthermore, moderation analysis found that religiosity strengthens the influence of ethical orientation in suppressing earnings management practices, meaning that individuals who are both religious and have a high ethical orientation are more consistent in maintaining their integrity. However, the role of religiosity was not proven to be significant in moderating the relationship between ethical pressure and earnings management practices, indicating that although religiosity can shape ethical attitudes, it is not sufficient to mitigate the impact of strong external pressures. These findings imply the importance of strengthening ethical values ​​and religiosity in accounting education and practice to prevent opportunistic behavior that is detrimental to related parties.

In light of the moderating effects of organizational readiness (OR) and digital literacy (DL), this study attempts to examine how business intelligence (BI) affects the sustainable performance and decision-making quality of SMEs in Lampung Province.  This study used a convergent parallel design and a mixed methods approach, integrating both qualitative and quantitative data to offer a thorough insight.  In-depth interviews with 15 important informants provided qualitative data, while purposive sampling was used to choose 200 SMEs as respondents for quantitative data. The outer and inner models were evaluated in a quantitative study using Partial Least Squares Structural Equation Modeling (PLS-SEM), and thematic analysis was used to examine the qualitative data. The findings demonstrated that BI significantly influences sustainable performance (β=0.24, p<0.001) and decision quality (β=0.65, p<0.001), both directly and via decision quality mediation (β=0.58, p<0.001). The association between BI and decision quality was found to be strengthened by OR and DL.  SME players stress the significance of rapid, precise, and integrated data access in enhancing the precision of company strategy, and qualitative findings corroborate the quantitative findings. This study offers useful suggestions for boosting SMEs' competitiveness in the age of digital transformation.

The phenomenon of image degradation due to global boycott issues, including the Boycott, Divestment, and Sanctions (BDS) movement, has influenced consumer behavior, especially towards international brands such as Starbucks. This occurrence serves as the basis for the study's analysis of how Surabaya consumers' decisions to buy Starbucks are influenced by brand image, brand awareness, and brand trust. 112 Starbucks customers in Surabaya participated in a survey as part of this study's quantitative methodology. ThWith the use of SmartPLS 3.0 software, the data analysis method employed is Partial Least Squares Structural Equation Modeling (PLS-SEM).  The study's findings show that purchase decisions are positively and significantly impacted by brand image, brand awareness, and brand trust. This finding indicates that these three variables have an important role in encouraging consumers to continue making purchases, even amidst reputational pressure due to social issues. This study provides implications for company marketing strategies in maintaining and building brand elements that can strengthen consumer loyalty and purchasing decisions. The study's findings show that purchase decisions are positively and significantly impacted by brand image, brand awareness, and brand trust. This finding indicates that these three variables have an important role in encouraging consumers to continue making purchases, even amidst reputational pressure due to social issues. Specifically, brand image is found to enhance consumers' emotional connection with the brand, which can mitigate the negative impacts of global boycotts or negative publicity. Brand awareness is shown to increase familiarity and recognition, which in turn solidifies consumer trust and loyalty. Lastly, brand trust has the strongest direct effect on purchase intentions, demonstrating that consumers are more likely to remain loyal to a brand they trust, even in the face of external challenges.

The practice of surrogacy in Indonesia is growing despite the absence of clear legal regulations, creating uncertainty in the protection of surrogates, children, and those who use surrogacy services. Although several countries have regulations governing this practice, Indonesia still faces a legal vacuum that leaves many parties vulnerable to exploitation. This study aims to analyze aspects of legal protection, reproductive rights, children's interests, and women's dignity in the context of surrogacy in Indonesia, with the aim of formulating a more adaptive and equitable regulatory framework. The method used in this study is a normative juridical approach, with analysis using AMOS-based Structural Equation Modeling (SEM) of relevant legal documents and existing scientific literature. This research involves an analysis of existing regulations, cases related to surrogacy, and the opinions of legal experts and the public. The results show significant differences in legal protection between surrogates and children involved in surrogacy practices. Furthermore, there is uncertainty regarding the status of children born through surrogacy practices, which impacts their rights, particularly in terms of legal recognition and access to their human rights. This study also emphasizes that protecting women's reproductive rights and maintaining their dignity must be an integral part of surrogacy regulations. Clear and comprehensive regulations have been shown to improve protection for surrogates, children, and other related parties, as well as prevent potential exploitation. The implications of this study are the importance of establishing legislation specifically governing surrogacy practices in Indonesia, where such policies must focus on justice, child rights protection, and gender equality.

Fibrosis, oxidative stress, inflammation, and immunity are tightly coupled processes leading to tissue damage and disease progression. Oxidative stress, triggered by reactive oxygen species (ROS), favors inflammation through the activation of pro-inflammatory cytokines as well as immune cells, especially macrophages. Chronic inflammation impedes the mechanisms of repair in tissues, resulting in an excess deposition of extracellular matrix (ECM) leading to fibrosis. Immune dysregulation mediated through T cells, B cells, as well as innate immunity also propels the fibrotic pathway. In contrast, fibrotic tissue reinforces oxidative stress and inflammation, forming a vicious cycle that sustains tissue injury and remodeling. Emerging evidence indicates that various molecular pathways are involved in this complex interplay. Key signaling cascades such as transforming growth factor-beta (TGF-β), nuclear factor-kappa B (NF-κB), and mitogen-activated protein kinases (MAPKs) play significant roles in amplifying oxidative and inflammatory responses. Dysregulation of antioxidant defense systems, including superoxide dismutase (SOD), catalase, and glutathione peroxidase, further aggravates oxidative stress and enhances tissue vulnerability. Moreover, metabolic alterations within immune cells contribute to the persistence of a pro-fibrotic environment. Activated macrophages, for instance, secrete profibrotic cytokines like interleukin-13 (IL-13) and tumor necrosis factor-alpha (TNF-α), while T helper 17 (Th17) cells promote chronic inflammation and tissue remodeling. This intricate cellular cross-talk highlights the importance of immune-metabolic regulation in fibrosis progression. Understanding these interconnected mechanisms offers promising therapeutic opportunities. Targeting oxidative stress with antioxidants, modulating immune responses with biologics, and inhibiting fibrogenic pathways using TGF-β or tyrosine kinase inhibitors are currently being explored in both preclinical and clinical settings. Such interventions hold potential for breaking the vicious cycle of oxidative stress, inflammation, and immunity, ultimately preventing irreversible organ damage and improving clinical outcomes in fibrotic diseases.  

This study investigates the influence of organizational culture and school leadership on teacher performance through work motivation as an intervening variable at SMA N 2 Pasaman Barat. The research employed a quantitative approach, with the entire population consisting of 46 teachers serving as respondents. Data were analyzed using Structural Equation Modeling (SEM) with the Partial Least Squares (PLS) method, including assessments of both the outer and inner models, as well as hypothesis testing. Data processing was conducted with the SmartPLS 3 software package to ensure accuracy and reliability in statistical analysis. The findings reveal that organizational culture has a significant positive effect on work motivation, indicating that a supportive and constructive organizational environment fosters higher levels of teacher motivation. Similarly, school leadership demonstrates a substantial impact on work motivation, emphasizing the importance of principals in inspiring and guiding teachers to remain engaged in their professional roles. Furthermore, the analysis shows that organizational culture significantly affects teacher performance, suggesting that strong cultural values and shared norms within the school enhance overall effectiveness in teaching. In contrast, the results indicate that school leadership does not have a direct significant effect on teacher performance, highlighting that leadership influence may be indirect, primarily channeled through motivational factors. Additionally, work motivation itself is found not to exert a substantial effect on teacher performance, suggesting that motivation alone may be insufficient without being supported by other organizational and contextual factors. When tested as an intervening variable, work motivation does not significantly mediate the relationship between organizational culture and teacher performance, nor between school leadership and teacher performance. Overall, the study contributes to the understanding of how organizational culture and leadership interact with teacher motivation and performance, with implications for educational management strategies aimed at enhancing teacher outcomes in secondary schools.

This study explores the impact of emotional intelligence and work–life balance on organizational commitment, with job satisfaction serving as a mediating variable, in the context of couriers at JNE Denpasar. Utilizing a quantitative research design, the study applies Partial Least Square (PLS) Structural Equation Modeling (SEM) to analyze data collected from 56 participants through a census sampling method. The findings reveal that emotional intelligence has a direct and significant effect on organizational commitment, indicating that employees with higher emotional intelligence tend to demonstrate stronger loyalty and dedication to their organization. However, emotional intelligence does not show a significant influence on job satisfaction, suggesting that other factors may contribute to employees' overall contentment at work. Conversely, work–life balance significantly affects job satisfaction, highlighting the importance of maintaining a healthy equilibrium between professional and personal responsibilities. Despite this, work–life balance does not directly influence organizational commitment. Further analysis indicates that job satisfaction fully mediates the relationship between work–life balance and organizational commitment, demonstrating that employees who achieve a better work–life balance are more likely to be satisfied with their jobs, which in turn enhances their commitment to the organization. However, job satisfaction does not serve as a mediator between emotional intelligence and organizational commitment, implying a more direct pathway between these two variables. These results align with the Theory of Planned Behavior, emphasizing that positive attitudes, reflected through job satisfaction, play a critical role in fostering behaviors associated with organizational commitment. From a practical perspective, the study highlights the importance for companies, particularly in the logistics industry, to invest in initiatives that enhance emotional intelligence and promote effective work–life balance strategies. By doing so, organizations can cultivate stronger employee loyalty, improve engagement, and foster a more committed workforce, ultimately contributing to better organizational performance and stability.

The Emergency Department (ED) plays a pivotal role as the frontline of hospital services, requiring rapid and accurate response to ensure patient safety and optimal care outcomes. This study aims to analyze the influence of nurse competence and inter-team coordination on the effectiveness of patient transfers from ED to inpatient units, with nurse work motivation as a mediating variable. A quantitative approach was employed with hypothesis testing using path analysis (Structural Equation Modeling - SEM). The study was conducted at Graha Juanda Hospital, Bekasi, involving a sample of 55 nurses selected through total sampling from both the ED and inpatient departments.Primary data were collected through structured questionnaires, and data analysis was performed using SPSS 26 The results demonstrate that nurse competence and team coordination significantly affect service effectiveness, both directly and indirectly through work motivation. The findings also indicate that low work motivation—linked to factors such as limited professional development opportunities and unbalanced workloads—contributes to delays in transferring patients to inpatient care, with the average Length of Stay (LOS) exceeding six hours.The study concludes that improving nurse competence, strengthening inter-team coordination, and enhancing nurse motivation are critical strategies to improve the quality and timeliness of emergency services. This integrated internal performance approach is vital for reducing LOS in the ED and ensuring seamless, patient-centered care transitions.