Publication Search

The implementation of Hospital Management Information Systems (HMIS) has become a strategic imperative to enhance operational efficiency amidst the ongoing global digital health transformation era. This study aims to analyze the determinants of successful HMIS implementation and its impact on service efficiency and patient outcome quality. Employing a narrative review approach with thematic synthesis of literature from PubMed, Scopus, and ScienceDirect databases between 2016-2026, the study evaluates the relationship between technology investment and organizational performance. The synthesis results indicate that while HMIS significantly reduces administrative burdens and medication errors, a "digital paradox" exists where technical efficiency may disrupt interpersonal interactions between healthcare providers and patients if systems are not user-centered. Key success factors include data interoperability (HL7/FHIR standards), human resource readiness, and governance policy support. This study concludes that a patient-centered efficiency model is the fundamental basis for ensuring technology investments yield sustainable added value within the healthcare delivery system.

This study aims to analyze the influence of Digital Leadership and Digital Culture on Organizational Performance thru the mediation of Technowork Engagement at the Immigration Office Class I Special TPI Semarang. Digital transformation in public organizations requires a comprehensive understanding of leadership mechanisms, culture, and technology engagement in improving service performance. The research method uses a quantitative approach with Partial Least Squares-Structural Equation Modeling (PLS-SEM). Data was collected through a survey of 65 Immigration Office employees using a structured questionnaire. The research instrument has met the standards of validity and reliability. The analysis results show that Digital Leadership significantly influences Organizational Performance and Technowork Engagement. Digital Culture significantly influences Technowork Engagement but does not directly affect Organizational Performance. Technowork Engagement was proven to have a significant impact on Organizational Performance. The findings indicate that digital leadership is a crucial factor in the digital transformation of public organizations, while digital culture requires mediation through technological engagement to impact performance. The practical implications emphasize the importance of developing digital leadership capacity and strategies to enhance technowork engagement in optimizing the performance of immigration services.

Information technology (IT) infrastructure planning plays a strategic role in supporting organizational performance and achieving business objectives. However, many organizations experience misalignment between IT infrastructure planning and organizational needs, leading to inefficiencies, limited system integration, and suboptimal utilization of IT investments (Maulana, 2024; Njanka et al., 2025). This study aims to analyze the suitability of IT infrastructure planning with organizational needs using a quantitative approach. The research framework integrates the Strategic Alignment Model (SAM), Strategic Alignment Maturity Model (SAMM), and COBIT 2019 governance principles. Data were collected through a structured questionnaire distributed to IT managers and system users. A total of 85 valid responses were analyzed using descriptive statistics and gap analysis. The results indicate that IT infrastructure planning is moderately aligned with organizational needs, particularly in supporting operational activities. Nevertheless, significant gaps were identified in system integration, scalability, and long-term infrastructure planning. These findings highlight the importance of continuous evaluation and governance-based IT planning to enhance alignment and ensure sustainable organizational performance.

This research aims to analyze the role of knowledge management in improving organizational performance. This research uses a qualitative method with a literature review approach, examining various national and international scientific journals published between 2019 and 2025. Data was obtained thru documentation techniques from secondary sources such as Google Scholar, ResearchGate, ScienceDirect, and SpringerLink. Analysis was conducted using content analysis and thematic synthesis methods to identify patterns of relationships between knowledge management dimensions and organizational performance. The research results indicate that effective knowledge management implementation has a positive impact on improving organizational performance, both in terms of operational efficiency, innovation, and competitive advantage. The four main dimensions of knowledge management that play the most significant role are knowledge creation, knowledge storage, knowledge sharing, and knowledge application. Additionally, organizational culture, transformational leadership, and employe commitment are key supporting factors for the successful implementation of knowledge management. Thus, it can be concluded that the systematic and integrated management of knowledge is an important foundation for organizations to achieve superior and sustainable performance in the digital age.

This study examines the strategic role of job satisfaction in shaping organizational commitment in the context of companies by synthesizing empirical evidence published between 2016 and 2025. Although it has been extensively researched, findings related to the consistency and determinants of the relationship between job satisfaction and organizational commitment are still scattered and have not been integrated, thus requiring comprehensive mapping. Therefore, this study aims to identify empirical patterns, conceptual issues, and theoretical foundations that explain how job satisfaction contributes to the formation of organizational commitment. Using the PRISMA based Systematic Literature Review (SLR) method, 35 articles were selected through the stages of identification, screening, quality assessment, and thematic synthesis. The review results show that job satisfaction is consistently a major predictor of organizational commitment in various corporate sectors. These findings are consistent with theories such as Social Exchange Theory, Equity Theory, Herzberg's Two Factor Theory, and Job Demands Resources Model, which explain the cognitive and affective mechanisms of commitment formation. In addition, variables such as work environment, job involvement, work life balance, internal CSR, and HR practices were identified as mediators or moderators that strengthen this relationship. This study concludes that increasing job satisfaction is an important strategy for strengthening commitment, reducing turnover intentions, and improving organizational performance. This review contributes to an integrative understanding of empirical developments and theoretical perspectives, and provides recommendations for future research to expand the data base and consider cross-cultural dynamics in organizations.

This study examines the impact of workload and work stress on employee job satisfaction at PT Inhutani I UMI Gresik, a wood-processing company operating under Perum Perhutani. The research employed a quantitative design with an associative (causal) approach to identify the extent to which workload and stress contribute to variations in job satisfaction. Data were collected through questionnaires distributed to 48 employees selected using a simple random sampling method. The analytical process involved validity and reliability testing, classical assumption tests, multiple linear regression, as well as t-tests, F-tests, and the coefficient of determination (R²). The results indicate that workload and work stress, when considered simultaneously, have a significant influence on job satisfaction. However, partial testing revealed that workload did not exert a significant effect, while work stress had a statistically significant negative impact on satisfaction. Regression analysis further demonstrated that work stress emerged as the dominant predictor, accounting for a larger proportion of variance compared to workload, as reflected by the higher beta coefficient and partial determination value. These findings suggest that while workload may serve as a motivator when maintained within reasonable limits, unmanaged stress arising from role ambiguity, conflicting demands, and organizational pressures significantly undermines job satisfaction. The study underscores the importance of stress management strategies within organizations, particularly in high-demand industries such as forestry and wood processing. Practical implications include the need for supportive leadership, effective communication, realistic target-setting, and the implementation of employee assistance programs. By addressing stress more effectively, organizations can enhance employee well-being, foster greater job satisfaction, and ultimately improve overall organizational performance.

This study aims to analyze the effect of communication and work environment on employee morale at the Maritime Affairs and Fisheries Service of Bima Regency. A quantitative approach was employed using a Likert-scale questionnaire distributed to 80 respondents selected through purposive sampling. Data were analyzed using multiple linear regression with SPSS for Windows. The results reveal that communication (β = 0.551; t = 18.459; p < 0.05) and work environment (β = 0.401; t = 16.786; p < 0.05) have a significant partial effect on employee morale. Simultaneously, these two variables contribute 94.4% to the increase in employee morale (R² = 0.944; F = 43.288; p < 0.05). These findings indicate that effective communication and a supportive work environment can enhance motivation and productivity among public sector employees. The practical implication of this study suggests that organizational management needs to improve the quality of internal communication and create a conducive work environment to optimize organizational performance.

Human Resource Management (HRM) plays a strategic role in improving organizational competitiveness through proper management of employee placement, training, and performance evaluation. To support the achievement of these goals, a predictive model is needed that can provide an accurate picture of employee performance. This study utilizes a Human Resource Management (HRM) dataset of 1,200 data and applies several classification algorithms to compare their effectiveness, namely J48 or C4.5, Random Forest, Naive Bayes, K-Nearest Neighbor (KNN), Logistic Regression, and Support Vector Machine (SVM). To obtain more optimal results, this study uses resampling techniques and attribute selection methods with a correlation attribute eval approach, so that class distribution can be more balanced and model accuracy increases. From the test results, the Decision Tree J48 algorithm showed the best performance with an accuracy level reaching 95.41%, a kappa value of 0.8925, a mean absolute error (MAE) of 0.0432, a precision of 0.955, a recall of 0.954, and an area under the ROC curve of 0.964. These findings indicate that J48 has excellent predictive capabilities compared to other algorithms. Furthermore, this study also found that the most influential variables in determining employee performance include the percentage of the last salary increase (EmpLast Salary Hike Percent), the level of work environment satisfaction (Emp Environment Satisfaction), the length of time since the last promotion (Years Since Last Promotion), and experience in the current role (Experience Years in Current Role). Overall, the results of the study indicate that the C4.5 algorithm with the application of the resampling technique can be an optimal solution in building an employee performance prediction system. Thus, this model has the potential to be a strong basis for managerial decision-making, particularly in designing HR development strategies and policies to improve organizational performance.

In the era of globalization and rapid technological advances, the scope of operational management is increasingly expanding. In facing global competition, companies must be able to face challenges in their operational management. The purpose of this study is to determine the factors that influence organizational performance through operational efficiency and employee productivity. The population used is all employees at PT. XYZ with a total of 107 employees. The sampling technique used in this study is a saturated sample where all members are filled in as samples in the study as many as 107 employees. This study uses the SEM (structure Equation Modeling) method with the AMOS tool. The results of the study indicate that the Work Environment has a significant effect on operational efficiency. Employee productivity, and organizational performance. Human resource management has a significant effect on operational efficiency, employee productivity, and organizational performance. Information systems have a significant effect on operational efficiency, employee productivity, and organizational performance. Operational efficiency has a significant effect on organizational performance. And employee productivity has a significant effect on organizational performance.

PT Perkebunan Nusantara I (PTPN I) is an Indonesian State-Owned Enterprise (BUMN) specializing in plantation operations, particularly the cultivation and processing of primary commodities, including rubber, coffee, and tea. Additionally, the company engages in secondary ventures such as tobacco production, plastic sack manufacturing, and asset optimization. As of December 1, 2023, PTPN I functions as a subholding entity with regional offices strategically located in Sumatra, Java, and Sulawesi to enhance operational efficiency. The company was originally established in Aceh in 1961 as PPN Kesatuan Aceh, marking the beginning of its long-standing presence in the industry.This study aims to analyze the impact of transformational leadership, internal communication, and work ability on both organizational commitment and organizational performance at PTPN I’s Surabaya region. Utilizing a quantitative causal-explanatory approach, primary data was collected through structured questionnaires. The target population comprised employees of PTPN I in Surabaya, with 100 respondents selected via purposive sampling. Data analysis techniques included descriptive statistics and SEM-PLS (Structural Equation Modeling-Partial Least Squares). Findings reveal that transformational leadership, internal communication, and work ability significantly and positively influence organizational commitment. Likewise, transformational leadership, work ability, and organizational commitment exhibit a significant positive relationship with organizational performance. However, although internal communication has a favorable effect, its impact on organizational performance is not statistically significant in this context.

As business complexity and global competition intensify, the limitations of traditional cost accounting systems in providing relevant information for strategic decision-making become increasingly apparent. This has driven the adoption of Activity-Based Costing (ABC) and subsequently Activity-Based Management (ABM), which have evolved as vital tools to accurately allocate costs based on activities and transform this information into value-enhancing and efficiency-improving strategies. This study aims to map the landscape, influence, and visibility of ABC and ABM publications through a comprehensive bibliometric analysis using VOSviewer. The research method involves a Systematic Literature Review (SLR) for data collection and screening from 488 publications (2023-2025) indexed in Scopus from Google Scholar, followed by data analysis and visualization of co-authorship and keyword co-occurrence networks. The analysis results show the dominance of core concepts such as "activity-based costing/management," "activity," "costing," and "management" as the foundation of research. Identified thematic clusters include the basic applications of ABC and its impact on performance, managerial aspects of ABM, efficiency, and the challenges and benefits of implementation. Temporal trends indicate a shift in the focus of recent research towards the strategic and managerial contributions of ABM/ABC in enhancing efficiency, supporting decision-making, and driving organizational performance. Density visualizations confirm research "hotspots" in these areas, while also highlighting potential research gaps for the future. The conclusion demonstrates the continuous relevance of ABC and ABM as adaptive cost and performance management tools, as well as the evolution of the discipline continually adapting to modern business's strategic needs, guiding researchers and practitioners for further exploration.

Internal performance evaluation is an essential process within strategic management, aimed at assessing a company's internal capabilities to achieve its strategic goals. This evaluation involves a comprehensive analysis of key internal components, including human resources, finance, operations, and marketing. The primary objective is to identify internal strengths and weaknesses, along with external opportunities and threats that may influence organizational performance. This study employs a qualitative research method to explore how internal evaluations contribute to strategic decision-making. The findings suggest that regular and systematic internal performance evaluations can serve as a strong foundation for formulating effective strategies, improving operational efficiency, and enhancing competitive advantage in the market. Thus, internal performance evaluation plays a vital role in supporting the strategic development and long-term sustainability of a company.

Human resource development through Learning and Development (L&D) is a major challenge in improving employee performance in the service sector that is highly dependent on service quality. However, the mechanism of L&D's influence on HR performance involving employee engagement as a mediating variable is still not comprehensively understood. This study aims to analyze the influence of L&D on HR performance with employee engagement as a mediator in service companies in Jakarta. The method used is a quantitative survey with data collection through questionnaires to 120 employees, and data analysis using AMOS-based Structural Equation Modeling (SEM). The results of the study indicate that L&D has a direct positive effect on HR performance and indirectly through increasing employee engagement, which acts as a significant mediator. This finding strengthens the theory of social learning and employee engagement and emphasizes the importance of integrating psychological aspects in employee development. The practical implication is that service sector management needs to design L&D programs that not only improve technical competence but also motivate employee engagement to maximize organizational performance. This study provides a relevant empirical contribution to the development of HR management theory and practice in the service sector.

The transformation of Human Resource Development (HRD) through a data-driven decision-making system has become a strategic necessity for organizations aiming to improve performance and competitiveness. This study employs a qualitative descriptive approach by reviewing several relevant journals that discuss the integration of data analytics into HRD functions. The findings indicate that data-driven decision systems enable organizations to accurately identify training needs, predict employee performance, and design development programs that align with evolving organizational demands. Furthermore, the use of data reduces subjective bias in evaluation processes and enhances the objectivity of performance assessments. This transformation also strengthens the strategic role of HRD by providing timely and evidence-based recommendations that support organizational goals. However, successful implementation requires technological readiness, digital competencies among HR personnel, and an organizational culture that encourages data utilization. Overall, the literature review shows that adopting data-driven decision approaches significantly contributes to improving HRD effectiveness and organizational performance.

In recent years, the idea of leadership has changed dramatically to keep up with the quick advancements in technology, society, and the economy. Effective leadership has a direct impact on organizational productivity. A leader who properly manages human resources makes sure that workers are efficient and productive. Leaders create a positive work atmosphere, improve employee motivation, and give clear directions. Effective leadership increases productivity and helps organizations reach their objectives. Therefore, a leadership approach that emphasizes individual development is essential to enhancing overall organizational performance. In this study, the literature review approach is used. The results of this study of the literature suggest that inclusive, flexible, and technology-based leadership are all necessary for effective leadership in the current day. Employee engagement, well-being, and performance have all been demonstrated to improve under leadership that emphasizes personal growth and active team participation. Leadership that prioritizes technology utilization, interpersonal interactions, and change adaptation is essential to an organization's future success.

This study aims to analyze the influence of leadership style and organizational commitment on the performance of PKK cadres in the PKK Mobilization Team of Gogik Village, West Ungaran District. The participants in this study were active PKK cadres involved in organizational activities. The research employed a quantitative approach using multiple linear regression analysis to examine the relationship between the independent variables—leadership style and organizational commitment—and the dependent variable—cadre performance. The findings indicate that leadership style has a positive and significant impact on the performance of PKK cadres. Additionally, organizational commitment plays a crucial role in improving cadre performance. These results suggest that effective leadership and strong cadre commitment contribute to enhancing overall organizational performance. Therefore, improving leadership quality and strengthening cadre commitment should be prioritized in organizational management to achieve more optimal PKK program objectives.

This research discusses the role of integration of leadership models, influence tactics, and the application of power in an organizational context. Effective leadership requires not only strong leadership skills, but also the ability to combine intelligent influence tactics and the appropriate application of power. The integration of these three elements is considered crucial in forming optimal organizational results. This research uses a literature analysis approach and empirical study to explore the relationship between integrated leadership models, influence tactics, the application of power, and their impact on organizational performance. The findings of this study highlight the importance of aligning leadership strategies with effective influence tactics and the judicious exercise of power to achieve desired organizational goals. Practical implications and recommendations for organizational leaders and managers are also discussed.

In the rapidly evolving landscape of artificial intelligence (AI), optimizing human resources (HR) practices is imperative to foster organizational excellence. This qualitative research aims to explore the intersection of AI and HR practices to enhance organizational performance. The research adopts a qualitative approach utilizing in-depth interviews with HR professionals, AI specialists, and organizational leaders. Sampling techniques include purposive and snowball sampling to ensure diverse perspectives are captured. Data analysis involves thematic analysis, allowing for the identification of patterns and themes within the qualitative data. Preliminary findings indicate that organizations are increasingly leveraging AI to streamline HR processes, enhance talent acquisition, and improve employee engagement. Furthermore, the research reveals the significance of ethical considerations and human oversight in AI-driven HR practices. This study contributes to the growing discourse on AI integration in HR and provides insights for organizations aiming to navigate the AI-driven landscape while fostering excellence in HR practices.  

Organizational management applies the right strategy to be able to remain competitive with other competing organizations. The implementation of the strategy is not only about the benefits but also the performance of the organization. Organizational performance is one of the successes in market business competition. Company management implements strategies that can develop organizational performance by developing supporting aspects such as TQM and knowledge management. This research was conducted to determine the formation of organizational performance from TQM and knowledge management. This research was conducted at a company in Sidoarjo which is engaged in the manufacture of animal feed. The respondents obtained were employees from different divisions who were randomly selected except for the security and cleanliness division. In this study used a sample of 120 respondents. The data used will be analyzed using multiple linear regression. After processing the data, the results showed that there was a significant influence given by TQM on organizational performance. Data processing also proves that organizational performance is formed because of the significant influence given by knowledge management. Research also proves that TQM and knowledge management have an effect on the ups and downs of organizational performance together.