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This study is motivated by the increasing complexity of global culture, which demands a value system capable of providing direction and meaning in human life. In this context, Islam is viewed as having the potential to serve as a global value system through a cultural concept grounded in revelatory values. This study aims to analyze the concept of culture from an Islamic perspective as a global value system by examining the thought of Ali Ahmad Madkur. The method used is a qualitative approach based on a Systematic Literature Review (SLR), systematically and critically examining various relevant scientific literature. The results of the study indicate that Islamic culture in Madkur’s thought is built upon two main dimensions: the normative dimension, which is derived from the Qur’an and Sunnah, and the practical dimension as its actualization in social life. Although this approach has strengths in maintaining the integrity of values, it still faces challenges in responding to the complex, dynamic, and hybrid nature of global cultural dynamics. Therefore, a more integrative approach is needed to ensure that Islamic cultural values remain relevant and operational in a global context. This study has implications for strengthening more contextual studies of Islamic culture and developing Islamic education that is adaptive to the changing times.

The rapid growth of digital commerce has encouraged companies to integrate digital and physical marketing channels to create seamless and consistent customer experiences. This study aims to analyze the role of integrated marketing channels through omnichannel strategies, the utilization of Artificial intelligence (AI), and their impact on customer experience in the context of digital commerce. The study employs a Systematic literature review (SLR) approach by examining relevant scholarly articles related to omnichannel marketing, AI technologies, and customer experience. The findings indicate that integrated marketing channels supported by AI enhance service personalization, customer engagement, operational efficiency, and the quality of interactions between companies and customers. Furthermore, the implementation of omnichannel strategies contributes to higher customer satisfaction and loyalty by providing a more connected experience across multiple customer touchpoints. However, the implementation of integrated marketing channels still faces several challenges, including fragmented channel integration, technological complexity, high investment requirements, and concerns regarding customer data privacy and security. Therefore, effective management of integrated marketing channels is essential for improving customer experience while creating sustainable competitive advantages for companies in an increasingly dynamic digital era.

Usability evaluation plays a crucial role in ensuring the quality of digital systems, particularly in terms of comfort, effectiveness, and ease of use. Instruments such as the System Usability Scale (SUS), User Experience Questionnaire (UEQ), and Heuristic Evaluation (HE) are widely used in modern usability studies. This research conducts a Systematic Literature Review (SLR) to identify patterns and trends in the use of these instruments. A total of 27 initial studies were collected, and 16 were selected through the PRISMA screening procedure. The findings show that UEQ is the most frequently used instrument, especially in Learning Management Systems (LMS) and academic platforms, while SUS is commonly applied to mobile applications and digital libraries for rapid usability assessment. HE is effective in revealing fundamental interface issues such as non-intuitive navigation and layout inconsistencies. Overall, digital systems perform well in Efficiency and Perspicuity, but consistently show low scores in Novelty. This study provides an integrative knowledge map that highlights cross-instrument insights and supports the development of more intuitive, innovative, and user-centered digital systems

Job analysis is a key component of human resource management that plays a role in determining the tasks, responsibilities, and competencies required for a particular job. In various organizations, job analysis serves as the foundation for HR planning, recruitment, selection, employee placement, and performance evaluation. However, research on job analysis remains scattered across various studies focused on specific organizational contexts, necessitating a literature synthesis to gain a more comprehensive understanding of research developments in this field. Therefore, this study aims to analyze the development of research on job analysis and identify its role and contributions to human resource management. This study employed a literature review method by searching for scientific articles in the Google Scholar database using the Publish or Perish (PoP) application with the keyword “job analysis.” The initial search yielded 30 scientific articles, which were then screened based on topic relevance, open access, and publication years ranging from 2020-2026, resulting in 16 articles selected for further analysis. The findings indicate that the literature on job analysis can be grouped into three main themes: the role of job analysis in human resource management, its contribution to improving employee performance and productivity, and its implementation in employee placement and organizational governance. Overall, job analysis has proven to be a strategic tool for enhancing the effectiveness of human resource management. Further research is recommended to examine the implementation of job analysis in greater depth across various organizational contexts to enrich the development of human resource management theory and practice.

his study examines the concept of sustainable business development through the lens of Islamic economics, focusing on the integration of three core dimensions: financial profit (profit), social empowerment (people), and environmental stewardship (planet). The urgency of this research is driven by the global environmental crisis and social inequality, which demand business models that pursue long-term welfare rather than merely short-term gains. Using a qualitative approach through a systematic literature review, this research analyzes how Islamic economic principles—including tawhid, justice ('adl), and the responsibility of khalifah—align with and reinforce the Sustainable Development Goals (SDGs). The findings indicate that the Profit-People-Planet framework is not only compatible with Islamic teachings but is deeply embedded in Islamic economic ethics and the maqashid al-shariah framework. Instruments such as zakat, waqf, and Islamic financing serve as practical mechanisms that simultaneously support halal profit generation, enhance community welfare distributively, and ensure environmental protection through the principle of hifz al-bi’ah. This study concludes that Islamic economics offers a holistic, ethical, and value-based framework for building sustainable businesses that are profitable, socially responsible, and environmentally conscious in the modern era.

This study is motivated by the dynamic changes in digital consumer behavior in e-commerce, particularly in the purchase of electronic products through the Tokopedia platform. The study aims to analyze and synthesize the influence of online reviews and product ratings on purchase decisions using a systematic literature review approach. The method involves a comprehensive examination of global and local scientific literature, with a focus on peer-reviewed journals and empirical studies published between 2021 and 2026. The findings indicate that online reviews and product ratings are capable of reducing consumer uncertainty as well as the functional risks associated with electronic products. Empirical evidence over the past decade suggests that high ratings can build initial confidence in brand quality, while detailed reviews provide crucial technical validation for potential buyers. Overall, these two indicators work synergistically to strengthen consumer trust and serve as key determinants in the final stage of the purchasing decision. The implications suggest that e-commerce platforms and sellers need to prioritize the management of user-generated content and maintain transparency in reputation to remain competitive in a market increasingly reliant on the credibility of online information.

This study conducts a systematic review of literature concerning the role of Management Information Systems (MIS) in managing Umrah pilgrim data across Indonesia. Employing a Systematic Literature Review (SLR) guided by the PRISMA protocol, the study examined and synthesized 24 peer-reviewed articles published between 2019 and 2026, drawn from Google Scholar, SINTA, and nationally accredited journal portals. Findings indicate that MIS adoption has yielded notable improvements in operational efficiency, data reliability, service transparency, and the overall quality of managerial decision-making within Umrah travel organizations. Web-based MIS remains the predominant technological approach, offering integrated modules for pilgrim registration, document handling, financial tracking, and departure scheduling. At the national level, government-initiated platforms such as SISKOHAT and SISKOPATUH have demonstrated tangible contributions to the administration of Hajj and Umrah services. Nevertheless, persistent obstacles continue to hinder full-scale adoption, including inadequate digital infrastructure in certain regions, inconsistent internet connectivity, and gaps in human resource competencies for operating digital systems. The study argues that embracing MIS is no longer optional for Umrah travel operators; rather, it constitutes a strategic necessity. Future research is encouraged to investigate long-term implementation outcomes, cross-system comparisons, and data security considerations within the broader digital landscape of pilgrimage service management.

This study aims to analyze the role of organizational communication in improving organizational performance using a systematic literature review approach with a descriptive qualitative method. The data were obtained from various relevant scientific literature sources, including national journals and academic articles discussing organizational communication and performance. The results indicate that organizational communication plays a significant role in enhancing performance through effective vertical and horizontal communication patterns, clarity of information flow, and improved work coordination. In addition, organizational communication contributes to building harmonious working relationships, increasing motivation, and strengthening organizational commitment. Leadership plays a crucial role in managing communication effectiveness within the organization. However, communication effectiveness is also influenced by supporting and inhibiting factors, such as work environment, communication skills, and differences in individual perceptions. Therefore, organizations need to manage communication strategically to achieve optimal performance. This study provides theoretical contributions to the development of organizational communication studies and practical implications for organizations in improving communication effectiveness.

This study examines the implementation of Islamic business ethics in e-commerce transactions, with a specific focus on the Shopee platform. The research is motivated by the increasing growth of digital commerce accompanied by various ethical issues such as product misrepresentation, lack of transparency, and weak accountability of sellers. The objective of this study is to analyze how ethical principles, including honesty, fairness, and responsibility, are applied in online transactions. This research employs a qualitative approach using a systematic literature review method by analyzing 20 relevant scholarly articles published between 2020 and 2026. The findings reveal that although the platform provides adequate transactional systems, ethical violations are still prevalent, primarily due to information asymmetry between sellers and consumers. Trust emerges as the most influential factor in purchasing decisions, while perceived risk and security play supporting roles in shaping consumer behavior. Additionally, economic incentives such as promotions often override ethical considerations in influencing consumer decisions. The study implies that strengthening ethical enforcement, enhancing platform supervision, and improving consumer digital literacy are essential to ensure a sustainable and trustworthy e-commerce ecosystem.

The rapid advancement of artificial intelligence (AI) has significantly altered the landscape of business decision-making, particularly for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. Despite their critical role in economic growth and employment generation, MSMEs frequently encounter substantial barriers related to technological adoption, digital literacy, and resource allocation. This research systematically investigates the utilization of artificial intelligence as a responsive innovation mechanism designed to optimize decision-making processes within the MSME sector. By employing a comprehensive systematic literature review methodology, analyzing peer-reviewed publications from globally recognized academic databases between 2018 and 2024, this study delineates the multifaceted benefits, complex challenges, and contextualized adoption strategies associated with AI integration. The findings reveal that artificial intelligence holds transformative potential for enhancing operational efficiency, refining predictive analytics, and sustaining long-term competitiveness. Conversely, critical challenges, including inadequate digital infrastructure, financial constraints, and organizational resistance, remain pervasive obstacles. Consequently, the study advocates for a gradual, responsive innovation approach that aligns technological adoption with specific business needs and environmental pressures. The insights derived from this research offer substantial theoretical and practical implications, providing a strategic framework for policymakers and MSME owners to accelerate digital transformation inclusively.

.This study aims to analyse the role of Financial Information Systems (FIS) in supporting risk management, decision-making, and organisational performance in the digital transformation era. This study employs the Systematic Literature Review (SLR) method to examine articles indexed in Scopus from 2016 to 2026. The PRISMA framework is used to ensure a systematic, transparent article selection process, resulting in the selection of 37 relevant articles for further analysis. The results of the study show that Financial Information Systems make a major contribution to improving financial transparency, operational efficiency, the quality of strategic decision-making, and organisational risk mitigation. In addition, the integration of emerging technologies such as Artificial Intelligence (AI), FinTech, big data analytics, and cloud computing further strengthens the effectiveness of financial information systems in modern organisations. This study contributes theoretically by mapping research trends and identifying research gaps, while providing practical benefits for organisations seeking to increase competitiveness through digital financial systems. For future research, it is recommended to develop a more predictive and intelligent Financial Information Systems model to address future business dynamics.

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.

Travertine is a non-marine carbonate rock precipitated from calcium- and bicarbonate-rich waters, commonly associated with hot springs, streams, and lakes in tectonically active regions. This study presents a systematic literature review of travertine deposit characteristics, encompassing mineralogical composition, geochemical signatures, petrographic textures, morphological types, isotopic properties, biotic–abiotic controls on formation, early diagenesis, and petrophysical implications. The synthesis indicates that travertine is predominantly composed of calcite, with aragonite forming under conditions of elevated temperature, high Mg/Ca ratios, and rapid CO₂ degassing. Travertines display exceptional textural diversity, ranging from abiotic crystalline crusts to microbially mediated fabrics such as shrub, peloidal, and stromatolitic structures. Major morphologies include fissure ridges, mounds, terraces, cascades, and slopes, strongly governed by tectonic setting, topography, hydrology, and substrate geology. Stable isotopes (δ¹³C and δ¹⁸O), strontium isotopes, trace elements, and REE patterns effectively constrain fluid provenance and distinguish thermogene from meteogene travertines. Microbial activity plays a crucial role in biomineralization, influencing precipitation rates, crystal morphology, and lamination patterns. Early diagenetic processes occurring during active deposition may significantly modify primary fabrics and geochemical signals. Travertine petrophysical properties exhibit distinctive porosity–velocity relationships, making them valuable analogues for subsurface carbonate reservoirs. This review highlights that travertines record complex interactions among physical, chemical, biological, and geological processes and hold significant value for paleoenvironmental reconstruction and carbonate reservoir studies.

This study examines the role of halal tourism in enhancing destination competitiveness and strengthening the Islamic economy within the tourism sector. This research employs a systematic literature review to synthesize findings from relevant academic sources. The results indicate that halal tourism contributes significantly to destination competitiveness by increasing tourist arrivals and encouraging product diversification. In addition, it supports the development of micro, small, and medium enterprises (MSMEs) and promotes local economic growth through a multiplier effect. Halal tourism also fosters ethical business practices and sustainable tourism development aligned with Islamic principles. However, its implementation faces key challenges, including limited infrastructure, complex halal certification procedures, and perceptions of exclusivity among non-Muslim tourists. Therefore, strategic efforts are required to improve Muslim-friendly infrastructure, streamline certification processes, strengthen MSME capacity through training and digitalization, and adopt inclusive branding strategies. These measures are expected to enhance the competitiveness, resilience, and sustainability of halal tourism destinations in the global market.

The development of digital technology in the Society 5.0 era presents both challenges and opportunities in history teaching, particularly regarding teachers’ ability to integrate technology and adapt to changes in students’ learning styles. This study aims to analyse the challenges faced by teachers and the strategies employed in digital-based history teaching. The method used is a Systematic Literature Review (SLR) employing the PRISMA approach, involving the stages of identification, screening, eligibility assessment, and inclusion of scientific articles published between 2020 and 2025. From the selection process, 25 relevant articles were identified for qualitative descriptive analysis. The findings indicate that teachers’ digital literacy levels remain at a moderate level and are unevenly distributed, thereby affecting the sub-optimal integration of technology into teaching. Furthermore, changes in students’ learning styles which are increasingly technology-oriented require more interactive and contextual pedagogical innovations. On the other hand, the use of digital media has proven capable of enhancing student motivation and learning outcomes, although this is still hindered by limitations in infrastructure and teachers’ technical competencies. The abundance of historical information on the internet also poses challenges regarding the validity of sources, thus necessitating the strengthening of digital literacy and critical thinking. The implications of this research underscore the importance of the ongoing development of teachers’ digital skills, the improvement of educational facilities, and the implementation of innovative teaching models to ensure that history teaching becomes more relevant and effective, and is capable of fostering critical thinking skills in pupils in the digital age.

This research is motivated by the increasing role of Artificial Intelligence (AI) in organizational transformation and the crucial function of leadership in ensuring its successful implementation. The primary objective of this study is to analyze the relationship between leadership, AI integration, and organizational performance, as well as to identify various challenges and supporting factors in the process. This study employs a systematic literature review (SLR) method by examining 30 relevant, reputable scientific articles from the Scopus and Google Scholar databases within the 2020–2026 timeframe through selection, evaluation, and thematic synthesis processes. The results indicate that AI integration significantly contributes to improving operational efficiency, data-driven decision-making quality, and organizational innovation. However, this success heavily depends on the role of adaptive, transformational, and digitally-oriented leadership capable of steering the technological vision. Conversely, major challenges were identified, such as employee resistance, limited digital competencies, and ethical issues surrounding data privacy. This study contributes to strengthening the conceptual understanding of leadership's role as a bridge between technology and organizational performance, while offering practical implications for management in designing effective, inclusive, and sustainable digital transformation strategies.

The Village Fund Direct Cash Assistance Program (BLT-DD) is a social protection instrument designed to help low-income families meet their basic needs. However, its implementation often faces challenges such as targeting inaccuracies, limited data, and varying administrative capacity at the village level. This study aims to evaluate the implementation of BLT-DD using William N. Dunn’s six policy evaluation criteria through a Systematic Literature Review (SLR) approach, covering effectiveness, efficiency, equity, responsiveness, conceptual alignment, and implementation. The findings indicate that BLT-DD is fairly effective in helping households maintain consumption, yet its effectiveness and adequacy remain constrained by the amount of assistance and the quality of data collection. Program efficiency and responsiveness are relatively good in villages with sufficient governance capacity, while equity emerges as the weakest aspect due to inaccurate data verification. Conceptually, BLT-DD aligns with the needs of low-income communities, but implementation accuracy still requires reinforcement. Furthermore, the study highlights the need for more systematic monitoring mechanisms, cross-sectoral data integration, and administrative training for village officials to enhance service quality. Overall, BLT-DD provides valuable support but requires improvements in governance and data systems to optimize outcomes, including regular evaluation strategies and refinement of supporting regulations.

This study is motivated by the importance of work effectiveness as a key indicator of organizational success in facing an increasingly complex and competitive work environment. Work discipline is viewed as one of the critical factors that can support the achievement of optimal work effectiveness. This study aims to analyze the relationship between work discipline and work effectiveness and to identify the factors influencing them within an organizational context. The method used is a Systematic Literature Review, which involves examining various relevant scientific articles through the stages of identification, selection, evaluation, and data synthesis. The results of the study indicate that work discipline plays a significant role in enhancing work effectiveness through adherence to rules, punctuality, responsibility, and consistency in task execution. Furthermore, work effectiveness can also foster the development of discipline through structured work systems and clear operational standards. The relationship between these two variables is reciprocal and influenced by factors such as leadership, organizational culture, motivation, human resource competencies, and the utilization of technology. The implications of this research underscore the importance of integrating work discipline and organizational systems to sustainably enhance work effectiveness.

Employee engagement is critical to organizational performance, employee well-being, and long-term sustainability. In hybrid work contexts, generational differences have become increasingly evident, particularly between Generation Y and Generation Z employees. Generation Y tends to emphasize work–life balance, career development, and meaningful collaboration, while Generation Z prioritizes flexibility, job security, digital integration, and the use of technology in the workplace. This study adopts a systematic literature review (SLR) approach by synthesizing findings from various peer-reviewed studies related to employee engagement and hybrid work practices across generations. The review focuses on identifying key factors that influence employee engagement in modern work environments. The results indicate that hybrid work can significantly enhance employee engagement when organizations provide flexibility, autonomy, adequate technological support, professional development opportunities, and fair reward systems. In addition, supportive organizational culture and effective leadership are important in maintaining employee motivation and commitment. However, differences in generational expectations require organizations to implement adaptive managerial strategies, including flexible work policies, personalized communication approaches, and inclusive leadership practices to strengthen employee engagement across different generations in hybrid work settings.

The development of Artificial Intelligence (AI) has transformed how business organizations manage operations, process information, and make strategic decisions, thereby creating a need for leadership patterns that are more adaptive, visionary, and responsive to digital transformation. This study aims to explain the concept of AI Leadership in the business context, identify why modern leadership must adapt to the advancement of AI, and analyze the leadership strategies that are relevant for navigating the era of AI-driven business. The study employs a Systematic Literature Review (SLR) approach with a narrative-thematic synthesis of relevant open-access scholarly literature on AI Leadership, digital leadership, human–AI collaboration, business transformation, and AI ethics. The findings show that AI Leadership represents a modern form of leadership that emphasizes not only technological understanding but also the ability of leaders to direct organizational change, foster data-driven decision making, manage collaboration between humans and technology, and implement responsible AI governance. The study also finds that the main strategies required by leaders in the AI era include strengthening digital literacy, developing adaptive managerial capabilities, enhancing human–AI collaboration, and integrating ethical principles into technology implementation. This article contributes conceptually by reinforcing AI Leadership as a leadership framework that is highly relevant to modern organizations and offers practical implications for the development of business leadership in the era of digital transformation.