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Employee performance is essential to organizational success, particularly in the service industry, where service quality depends heavily on employees’ capabilities and workplace conditions. This study examines the effects of a learning organization culture and the work environment on employee performance, with job satisfaction as a mediating variable among service sector employees in West Jakarta. A quantitative causal approach was employed using an online questionnaire distributed through purposive sampling, resulting in 210 valid respondents. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS. The findings reveal that both a learning organization culture and a positive work environment have significant positive effects on job satisfaction. In addition, learning organization culture, work environment, and job satisfaction each positively and significantly influence employee performance. Job satisfaction also mediates the relationships between learning organization culture, work environment, and employee performance. These results suggest that organizations can improve employee performance by strengthening continuous learning practices, creating supportive working conditions, and enhancing employee satisfaction. The study contributes to the human resource management literature and provides practical guidance for organizations seeking sustainable performance through employee-centered management strategies.

Digital transformation has positioned artificial intelligence (AI) as a major driver of organizational change and innovation. This study aims to analyze the influence of AI implementation on transformational leadership dynamics and the shifting role of leaders in managing human resources through a Systematic Literature Review of reputable studies published within the last five years. The findings indicate that AI acts as a catalyst in strengthening the dimensions of intellectual stimulation and individualized consideration through predictive analytics and talent personalization. The automation of administrative and repetitive tasks enables leaders to focus more on strategic vision, organizational innovation, decision-making, and emotional engagement with employees. However, the effectiveness of AI implementation is highly dependent on leaders’ digital literacy, adaptive capabilities, and readiness to integrate technology into organizational processes. This study contributes by proposing a hybrid leadership framework that combines artificial intelligence with human emotional intelligence to support more effective leadership practices. The practical implications emphasize the importance of leadership development that prioritizes empathy, ethical awareness, and algorithmic transparency in order to maintain trust, encourage sustainable innovation, and strengthen organizational resilience in increasingly dynamic and volatile environments.

This study aims to investigate the influence of academic qualifications, managerial capabilities, and Perceived Organizational Support (POS) on emotional exhaustion and its implications for employee productivity at Sunan Kudus Islamic Hospital. Using a quantitative approach, data were collected via a questionnaire from 138 respondents. Instrument evaluation procedures were conducted through validity and reliability tests, while hypothesis testing was analyzed using Structural Equation Modeling (SEM). The findings reveal that academic qualifications and POS have a significant negative effect on emotional exhaustion, indicating that increased intellectual competence and strong organizational support are effective in reducing staff emotional exhaustion. Conversely, managerial capabilities were found to have no significant influence on emotional exhaustion. In the context of performance, the analysis results show that academic qualifications, managerial capabilities, and POS have a partial, positive, and significant effect on work productivity. Practically, this study suggests that hospital management prioritize human capital development and the strengthening of a supportive organizational climate to mitigate emotional exhaustion while accelerating operational efficiency in a sustainable manner.

Digital transformation has intensified scholarly interest in leadership; however, existing research predominantly emphasises leadership styles and strategic orientations, leaving the role of micro-level leadership behaviours underexplored. This qualitative systematic literature review synthesises prior studies to examine how everyday leadership behaviours function as behavioural antecedents of organisational performance in digital transformation contexts. Drawing on a structured review of interdisciplinary literature, the study identifies cognitive, relational, and adaptive leadership behaviours as central mechanisms through which digital initiatives are translated into performance outcomes. The findings reveal that micro-level behaviours—such as sensemaking, empowering communication, psychological safety cultivation, and behavioural flexibility—indirectly shape organisational performance by fostering digital capabilities, innovative work behaviour, and employee resilience. By shifting the analytical focus from abstract leadership constructs to observable behavioural micro-foundations, this review contributes to digital leadership and organisational performance literature and offers integrative insights for future empirical research and managerial practice

This study investigates the impact of Transglobal Leadership Intelligence (TGLI) on Sustainable Tourism Competitiveness, focusing on its influence through three mediating variables: Innovative Work Behavior (IWB), Work Engagement (WE), and Organizational Citizenship Behavior (OCB). Conducted in Pamekasan, this research aims to explore how TGLI can enhance the competitiveness of sustainable tourism by fostering innovation, employee engagement, and organizational citizenship within small and medium-sized tourism enterprises (SMEs). A quantitative approach, employing surveys from 190 tourism SME managers in Pamekasan, was used to gather data, which was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The study examines the relationships between TGLI and the targeted outcomes to provide a deeper understanding of the mechanisms driving sustainable tourism competitiveness in the context of globalization and organizational innovation. The results indicate that while TGLI positively influences IWB and OCB, it does not significantly affect Sustainable Tourism Competitiveness. Moreover, IWB, WE, and OCB did not show significant direct effects on tourism competitiveness, suggesting that external factors like government policies and resource management play a more dominant role. This research offers valuable insights for tourism SMEs and policymakers, emphasizing the importance of global leadership capabilities and internal organizational dynamics in enhancing sustainable tourism.

Global business environmental uncertainty, triggered by "Black Swan" phenomena, demands that organizations transform beyond passive resilience toward anti-fragility capabilities, where Human Resource (HR) systems actually grow stronger through market disruptions. This study aims to analyze the concept of anti-fragility within organizational leadership, explain the role of transformational leadership in shaping anti-fragile employees, and identify organizational strategies for navigating market uncertainty. The approach employed is a narrative literature review using content analysis techniques across various reputable scientific journals, anti-fragility theory, and organizational case studies such as Disney+, Zoom, and Tractor Supply. Research findings indicate that transformational leadership acts as a primary catalyst that builds anti-fragility through intellectual stimulation, decentralized autonomy, and the creation of a culture that learns from failure. Organizational strategies prioritizing resource flexibility, cross-skilling, and optionality have proven effective in converting crisis stressors into opportunities for innovation and performance growth. The contribution of this article lies in the development of an "Anti-Fragile Leadership" conceptual framework that integrates the philosophical principles of anti-fragility into strategic HRM practices. The practical implications provide a guide for organizational leaders to design work systems that are adaptive and proactive toward market volatility, ensuring that organizations not only survive but thrive from chaos.

Strategic management plays a crucial role in ensuring the operational sustainability and competitiveness of PT Karya Giri Palma, a manufacturing company specializing in springbed and furniture production. In an increasingly competitive market environment and amid ongoing production challenges, the company is required to implement well-structured and adaptive strategic management practices. This study employs a qualitative research approach to explore the implementation of strategic management within the organization and to identify obstacles that arise during its integration into daily operational activities. Data were collected through in-depth observations and interviews to obtain a comprehensive understanding of managerial practices and employee involvement. The findings reveal that the active participation of both management and employees in the formulation and implementation of strategies significantly contributes to improved employee motivation, higher productivity levels, and enhanced work quality. Strategic alignment between organizational goals and employee roles encourages a stronger sense of responsibility and commitment among employees. However, several challenges remain, particularly in cross-divisional coordination and the consistent execution of strategies at the operational level. Therefore, this study recommends strengthening interdepartmental communication, optimizing the use of management information systems, and enhancing human resource capabilities through continuous training. These findings may serve as a valuable reference for similar manufacturing companies seeking to optimize strategic management practices in order to achieve sustainable performance and long-term competitiveness.

Digital revolution and the disruption of the global labor market have made public organizations, especially vocational training institutions, even more complicated. This study seeks to examine the impact of dynamic skills on institutional resilience, with innovative leadership serving as a mediating variable. The study employed a quantitative methodology, utilizing data collected from 180 employees at the Medan Vocational and Productivity Training Center (BBPVP). We used Structural Equation Modeling based on Partial Least Squares (SEM-PLS) to look at the data. The findings indicate that dynamic capabilities exert a positive and significant influence on institutional resilience, underscoring the necessity for an organization to identify, capitalize on opportunities, and adapt to change. Dynamic qualities also have a big effect on inventive leadership, which is very important for making organizational change happen. Innovative leadership demonstrably influences institutional resilience and serves as a partial mediator between dynamic capabilities and institutional resilience. This research offers a theoretical advancement by synthesizing institutional theory, dynamic capacities, and innovative leadership to elucidate public organizational resilience. In practical terms, the findings of this study have significant significance for enhancing the adaptive capacity of vocational training institutions in the context of digital disruption.

The effectiveness of public sector organizations in delivering quality services and achieving their mandates depends critically on how they manage their human resources. This study examines the relationship between strategic human resource management (SHRM) practices and organizational performance in Indonesian public sector organizations. Employing a mixed-methods research design, data were collected from 312 public sector managers and HR professionals across 45 government agencies through surveys and 32 in-depth interviews. The research investigates five key SHRM dimensions: strategic recruitment and selection, performance management systems, employee development and training, compensation and rewards, and employee engagement. Findings reveal significant positive relationships between SHRM practices and multiple performance indicators including service quality, operational efficiency, employee productivity, and organizational innovation. Regression analysis demonstrates that SHRM practices collectively explain 47.3% of variance in organizational performance scores. Qualitative data illuminate implementation challenges including limited HR professional capacity, rigid civil service regulations, political interference, and resistance to performance-based management. The study identifies critical success factors such as top management commitment, alignment between HR strategy and organizational strategy, investment in HR analytics capabilities, and cultural transformation toward merit-based practices. Results indicate that high-performing public organizations distinguish themselves through systematic talent management, data-driven HR decision-making, continuous learning cultures, and stronger linkages between individual performance and organizational outcomes. This research contributes empirical evidence on SHRM effectiveness in public sector contexts and provides actionable recommendations for HR practitioners and policymakers seeking to leverage human capital for improved public service delivery.

This study aims to investigate the determinants of job performance by integrating the variables of capability, social interaction, and Organizational Citizenship Behavior (OCB) as a moderating variable. The phenomenon of employee turnover and discrepancies in staff discretionary behavior within the hospital setting serves as the primary rationale for this study. Using a quantitative approach, data were collected from 240 respondents at Magelang City Islamic Hospital through purposive sampling. Data analysis was conducted using Structural Equation Modeling (SEM) based on AMOS software to test the causal relationships among variables in the structural model. The research findings provide empirical confirmation that individual capabilities and the quality of social inter-actions have a positive and significant influence on stimulating the formation of OCB. Furthermore, statistical test results demonstrate that capabilities, social interactions, and OCB simultaneously make a significant contribution to improving employee work performance. The presence of OCB is identified as a crucial factor capable of strengthening organizational performance outcomes. The practical implications of this study emphasize the need for hospital management to formulate human resource development strategies focused on strengthening technical skills and social cohesion to mit-igate the impact of turnover and accelerate the sustainable performance of healthcare services.

This research aims to design an Information Systems and Information Technology (IS/IT) strategic plan for Wyndham OPI Hotel Palembang to support operational efficiency and enhance the quality of five-star hotel services. The study applies the Ward and Peppard framework, supported by analytical methods including Value Chain,PEST,SWOT,Critical Success Factors (CSF), MOST and McFarlan Strategic Grid. Through these approaches, the current IS/IT condition, challenges, and opportunities for digital system development within the hotel environment were mapped. The analysis reveals that although the hotel has implemented technologies such as SiteMinder and the Rhapsody management system, there is a need to improve self-service check-in capabilities, strengthen IT infrastructure, and maximize digital technology utilization. The proposed strategy recommends the development of an integrated self check-in system, enhancement of network infrastructure, and employee training through an LMS platform. This strategic plan is expected to support the hotel’s digital transformation to remain competitive in the modern hospitality industry.

This study examines the integration of technology in the process of Human Resource (HR) transformation through the perspective of employee data analytics as a strategic approach to modern HR management. The primary focus of the study is to analyze the impact of the simultaneous integration of digital HR systems and organizational digital transformation on improving the efficiency of HR functions, with organizational agility positioned as a moderating variable that strengthens this relationship. In addition, the study explores the potential optimization of Artificial Intelligence (AI) technologies and predictive analytics methods, such as Bayesian Optimization, in predicting workforce dynamics, including employee attrition risk and competency development needs, while also bridging the analytical skills gap among HR practitioners. The research method employed is a systematic literature review of relevant scientific publications from 2021 to 2025, selecting sources that address digital HR transformation, HR analytics, and the application of AI in organizational contexts. The findings indicate that digital HR systems have a strong and significant effect on enhancing operational efficiency and the quality of HR decision-making, and this effect becomes more optimal when supported by a high level of organizational agility. Furthermore, AI and predictive analytics are proven to generate more accurate predictions and simplify technical complexity, making them easier for HR practitioners to adopt. This study concludes that the success of HR transformation requires a holistic approach that aligns the use of advanced technologies with organizational capabilities, human resource readiness, and ethical considerations to create sustainable organizational value.

Study This aim for test influence individual performance, utilization technology, capabilities personal techniques, and support management peak to effectiveness use system information accounting. Study This use approach quantitative with method taking sample that is purposive sampling and samples obtained by 50 respondents. Population in study This is employee part finance or relate with accountancy companies in the Gresik Region. Data used in study This is primary data in the form of questionnaire. Technique analysis of the data used is multiple linear regression tool test used is the SPSS Version 25.0 program. results from study This show that variable individual performance and utilization technology No influential to effectiveness use system information accounting, variable ability influential personal techniques positive and significant to effectiveness use system information accounting, meanwhile variable support management peak Also No influential significant to effectiveness use system information accounting.

The utilization of digital technology in government administration is a critical measure to improve employee performance and the efficiency of public services. However, the effectiveness of implementing this technology is highly determined by the degree to which employees accept the digital systems being used. This study aims to analyze the impact of digital technology acceptance on employee performance at the Mojoroto District Office in Kediri City. The research employs a quantitative method with an explanatory design. Information was obtained through a questionnaire survey distributed to all employees at the Mojoroto District Office, totaling 30 respondents, using total sampling techniques. Indicators of digital technology adoption were evaluated based on perceptions of benefits, operational ease, social pressure, and infrastructural support, while employee performance was assessed according to the quality of work output and responsibilities. Data analysis involved descriptive statistics, validity and reliability tests, and ordinal linear regression. The study findings indicate that digital technology acceptance has a positive and significant influence on employee performance. The coefficient of determination figure reveals that digital technology adoption can explain a large part of the fluctuations in employee performance, with the remaining variation influenced by variables outside the research model. These results imply that the greater the level of digital technology acceptance, the better the resulting employee performance. This study concludes that strengthening digital capabilities, technical guidance, and institutional support are key strategies for enhancing employee performance and public service quality at the district level.

This study aims to identify how e-government and competence affect employee performance at the Jambi City Regional Tax and Retribution Management Agency. This study is based on the fact that government agencies need to utilize information technology and improve their human resource capabilities to improve their work efficiency. The method used in this study is quantitative with multiple linear regression analysis techniques used. After the questionnaire was distributed to 54 members of the Jambi City BPPRD, the data were processed using the SPSS version 25 program. The results of the study indicate that e-government partially has a positive and significant influence on employee performance, and competence also partially has a positive and significant influence on employee performance at the Jambi City Regional Tax and Retribution Management Agency, and simultaneously, e-government and competence together provide a positive and significant influence on employee performance at the Jambi City Regional Tax and Retribution Management Agency.

This qualitative literature review synthesizes interdisciplinary research on how employees’ technological sensing capabilities shape generative artificial intelligence (GenAI) capabilities and innovative work behavior. Drawing on dynamic capabilities theory, microfoundations of sensing, and human–AI interaction literature, the review integrates findings from management, information systems, and innovation studies. The synthesis reveals that technological sensing—employees’ ability to identify, interpret, and anticipate emerging technologies—does not directly translate into innovation, but operates through the development of distinct GenAI capabilities. In particular, GenAI evaluation capability consistently emerges as a stronger driver of innovative work behavior than GenAI usage capability alone, as it enables critical judgment, contextualization, and creative recombination of AI-generated outputs. The review further highlights contextual moderators such as leadership support, task complexity, and organizational climate. Overall, the study advances theory by positioning individual sensing as a microfoundation of AI-enabled innovation and offers implications for organizations seeking to leverage GenAI beyond efficiency gains.

This Community Service Program was conducted to enhance the competencies of supervisors in the logistics and transportation division of an international cargo company through leadership training tailored to the characteristics of Generation Z. The program aimed to strengthen participants’ capabilities in managing workplace dynamics, improving team communication, and promoting more effective performance through a flexible leadership approach. The training was held on November 18, 2025, at the company’s head office in Bekasi and was attended by 16 supervisors. The methods used included material presentations, group discussions, case study analysis, and an interactive question-and-answer session. The results indicate an increased understanding among participants regarding Generation Z work behavior, appropriate leadership principles, and more adaptive management strategies. This program is expected to provide sustainable benefits for human resource development and to enhance leadership effectiveness within the logistics sector.

This study was motivated by the need for madrasahs to adapt to technological developments, particularly in document management, which was previously done manually. The purpose of this study was to describe the role of administration in digital archive management at MTsN 3 Jember, identify the obstacles that arose, and explain the efforts made to overcome these obstacles. The research used a descriptive qualitative approach with data collection through interviews, observation, and documentation. The results showed that administration played an important role as the main manager of digital documents through the use of applications such as SIMPEG, TTE, and SAKTI, as well as the use of cloud-based storage to maintain the security and ease of access to archives. The obstacles faced include the limited digital capabilities of employees, technical disruptions to applications, and suboptimal technological infrastructure. However, various efforts have been made, including performing regular backups, improving the organization of digital documents, and enhancing staff capabilities through independent learning. This study confirms that the success of digital archive management requires synergy between human resource readiness, technological support, and managerial policies that support the transformation of madrasah administration.

This study explores the impact of Artificial Intelligence (AI) integration and algorithm transparency on organizational efficiency and perceived fairness in Human Resource (HR) decision-making. Using a qualitative literature review approach, the research examines the mediating role of employee trust and the moderating influence of organizational culture. The analysis focuses on peer-reviewed international studies published since 2020, reflecting the latest theoretical and empirical developments in AI and HR management. The findings reveal that a higher level of AI integration improves decision speed, reduces operational costs, and increases the accuracy of talent allocation. However, these efficiency gains are not independent of ethical considerations. Transparent algorithms are shown to significantly enhance employees’ trust and perceptions of fairness, whereas opaque systems tend to generate resistance and distrust. Furthermore, organizational culture plays a crucial moderating role. Companies with innovative and participatory cultures report better outcomes from AI implementation, while hierarchical cultures are associated with lower adoption success and ethical challenges. This research highlights the importance of aligning technical capabilities with social and cultural factors to optimize the use of AI in HR functions. The study contributes to the discourse on socio-technical systems by proposing an integrative framework that links AI integration, transparency, trust, and culture to key organizational outcomes. Practical implications include the need for transparent system design, ethical governance, and cultural readiness to support responsible AI adoption in HR.

This research is a Systematic Literature Review (SLR) that aims to identify, analyze, and synthesize scientific literature related to effective facilitation strategies in the context of organizational capability development and employee learning improvement. The main focus of this research is to map various forms of facilitation interventions, assess their impact on organizational capabilities such as innovation, adaptability, and efficiency, and explore the role of facilitation in strengthening organizational and individual learning mechanisms. By using an SLR approach that follows the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), this study ensures transparency and replication of the study process. The results of the synthesis show that facilitation strategies contribute significantly to improving organizational capabilities through the creation of a collaborative learning environment, strengthening communication, and improving employees' adaptive skills. In addition, facilitation has been proven to support the integration of new knowledge into organizational practices, thereby strengthening competitiveness and sustainability. These findings are expected to provide evidence-based guidance for practitioners in designing effective facilitation interventions, as well as a theoretical basis for future researchers to develop studies on the relationship between facilitation, learning, and organizational capabilities.