Journal that publishes multidisciplinary research articles, which include: Humanities and social sciences, Business Economics, Cooperatives & Banking, Sharia Economics, Development Economics, HR Development, Taxation and Commercial Insurance. This journal is published by West Science Press.
The Influence of Eco-Influencers and Social Media Advocacy on Purchase Intentions for Eco-Friendly Products in West Java
The increasing environmental awareness among consumers has encouraged businesses to promote eco-friendly products through digital communication channels. Social media has emerged as a powerful platform for influencing consumer behavior, particularly through eco-influencers and environmental advocacy campaigns. This study aims to examine the influence of eco-influencers and social media advocacy on consumers’ intention to purchase eco-friendly products in West Java. A quantitative research approach was employed using a survey method. Data were collected from 175 respondents who actively use social media and are familiar with eco-friendly products. The research instrument utilized a five-point Likert scale, and the collected data were analyzed using SPSS version 25 through validity testing, reliability testing, descriptive analysis, multiple linear regression, coefficient of determination analysis, and hypothesis testing. The results reveal that eco-influencers have a positive and significant effect on purchase intention, indicating that credible environmental influencers can effectively encourage consumers to consider eco-friendly products. Social media advocacy also demonstrates a positive and significant influence on purchase intention, suggesting that environmental campaigns disseminated through social media enhance awareness and motivate sustainable purchasing behavior. Furthermore, eco-influencers and social media advocacy simultaneously influence purchase intention, explaining 46.1% of the variance in consumers’ intention to purchase eco-friendly products. The findings highlight the strategic importance of digital environmental communication in promoting sustainable consumption and provide practical implications for businesses, marketers, and policymakers seeking to encourage environmentally responsible purchasing behavior.
Copyright (c) 2026 Arief Fahmi Lubis, Paramita Andiani, Salwa Aulia Novitasari https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Human-Computer Interaction
Human–Computer Interaction (HCI) has emerged as a multidisciplinary field that bridges computer science, artificial intelligence, psychology, and design to improve the interaction between humans and digital technologies. This study aims to analyze the intellectual structure, research trends, collaboration patterns, and emerging themes within the HCI literature through a bibliometric approach. Data were collected from the Scopus database using the keyword “Human–Computer Interaction” and related terms. Bibliometric analysis and visualization were conducted using VOSviewer to examine publication networks, keyword co-occurrences, citation structures, co-authorship relationships, institutional collaborations, and country-level research partnerships. The findings reveal that HCI research is centered on themes such as user interfaces, user experience, artificial intelligence, machine learning, computer vision, gesture recognition, virtual reality, and augmented reality. Overlay visualization indicates a recent shift toward advanced technologies, particularly deep learning, emotion recognition, convolutional neural networks, and intelligent interaction systems. Citation analysis identifies several highly influential publications that have shaped the theoretical and methodological foundations of the field, while collaboration analyses highlight the significant roles of the United States, China, and India, alongside leading institutions such as Carnegie Mellon University and the University of Washington. The results demonstrate that HCI research is increasingly interdisciplinary and globally collaborative, reflecting the growing demand for intelligent, adaptive, and user-centered technologies. This study provides a comprehensive overview of the evolution of HCI research and offers insights into future directions, particularly in the areas of AI-driven interaction, multimodal recognition, immersive environments, and personalized digital experiences.
Copyright (c) 2026 Loso Judijanto https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Green Buildings
Green buildings have emerged as a critical strategy for addressing environmental challenges associated with rapid urbanization, energy consumption, and greenhouse gas emissions. Consequently, scholarly interest in green building research has increased substantially over the past two decades. This study aims to map the intellectual structure, research trends, influential contributors, and collaboration patterns within the field of green buildings through a bibliometric analysis. Data were collected from the Scopus database and analyzed using VOSviewer to examine publication networks, keyword co-occurrence, citation patterns, author collaborations, institutional relationships, and country-level partnerships. The findings reveal that green buildings, green building, sustainability, construction industry, and architectural design constitute the core themes of the literature. The overlay visualization indicates a shift in research focus from energy efficiency and building performance toward broader sustainability concerns, including green development, green economy, and sustainable construction. Citation analysis highlights the interdisciplinary nature of the field, with influential studies spanning sustainable materials, environmental management, urban green spaces, and green manufacturing. Co-authorship and institutional analyses identify several leading scholars and universities, particularly from China, which also emerges as the most influential country in international research collaboration. The country collaboration network further demonstrates strong global partnerships involving the United States, the United Kingdom, Australia, and other Asian and European countries.
Bibliometric Analysis of Fraud Detection in the Fintech Sector
The rapid growth of financial technology (fintech) has transformed the delivery of financial services while simultaneously increasing exposure to various forms of digital fraud and cybersecurity threats. As fintech platforms continue to expand globally, fraud detection has emerged as a critical research area aimed at enhancing the security, reliability, and sustainability of digital financial ecosystems. This study conducts a bibliometric analysis to examine the intellectual structure, research trends, influential publications, and collaborative networks within the field of fraud detection in the fintech sector. Bibliographic data were collected from the Scopus database and analyzed using VOSviewer to visualize keyword co-occurrence, author collaboration, institutional collaboration, country collaboration, overlay visualization, and density mapping. The findings reveal that fintech serves as the central theme connecting major research areas such as fraud detection, artificial intelligence, machine learning, cybersecurity, blockchain, and risk management. Keyword analysis indicates that artificial intelligence and machine learning have become dominant technological approaches for detecting and preventing fraudulent activities in digital financial services. Overlay visualization demonstrates a shift from traditional concerns related to cybercrime, regulatory compliance, and financial risk management toward emerging topics such as blockchain security, financial inclusion, and AI-driven fraud detection systems. Citation analysis identifies studies on artificial intelligence, fintech security frameworks, and cybersecurity as the most influential contributions to the field. Furthermore, collaboration analysis shows that research activities are concentrated within a limited number of author groups, institutions, and countries, with India emerging as the leading contributor to international collaboration.
Copyright (c) 2026 Loso Judijanto, Adih Supriadi https://creativecommons.org/licenses/by-sa/4.0
Bibliometric Analysis of Marketing Automation Research
Marketing automation has become an increasingly important component of contemporary marketing strategies, enabling organizations to enhance customer engagement, improve operational efficiency, and support data-driven decision-making. Despite its growing adoption across industries, the intellectual structure and development trends of marketing automation research remain insufficiently explored. Therefore, this study aims to map the evolution, knowledge structure, and emerging themes of marketing automation research through a bibliometric analysis. Data were collected from the Scopus database and analyzed using VOSviewer to examine publication patterns, influential literature, keyword co-occurrence, co-authorship networks, institutional collaboration, and country collaboration. The findings indicate that marketing automation research is strongly associated with themes such as artificial intelligence, machine learning, predictive analytics, digital marketing, commerce, and big data. Automation emerged as the central concept linking technological and managerial dimensions of the field. Overlay visualization revealed a shift from industry-specific applications toward advanced technologies, particularly artificial intelligence and machine learning, which have become dominant research topics in recent years. Citation analysis identified machine learning and AI-based business transformation as the primary intellectual foundations of the field. Furthermore, collaboration analyses highlighted the significant contributions of India, the United States, and Germany, alongside a growing network of international research partnerships. The study concludes that marketing automation has evolved from an operational marketing tool into a strategic capability that supports personalization, customer relationship management, and business innovation. These findings provide valuable insights for academics and practitioners while identifying future research opportunities related to generative artificial intelligence, advanced analytics, customer experience optimization, and ethical considerations in automated marketing systems.
Bibliometric Analysis of Workforce Planning in the Digital Age
The rapid advancement of digital technologies has transformed the way organizations plan, manage, and develop their workforce. Consequently, workforce planning has become increasingly important in helping organizations adapt to digital transformation, artificial intelligence, and evolving skill requirements. This study aims to examine the intellectual structure, research trends, and emerging themes of workforce planning in the digital age through a bibliometric analysis. Bibliographic data were retrieved from the Scopus database and analyzed using VOSviewer to identify publication patterns, influential publications, keyword relationships, author collaborations, institutional networks, and country-level collaborations. The results reveal that workforce planning research is primarily concentrated around themes such as personnel management, workforce development, digital transformation, artificial intelligence, information management, and healthcare workforce systems. The keyword co-occurrence analysis indicates that personnel, workforce, digital transformation, and workforce planning are the most prominent research topics, while overlay visualization highlights recent interest in digital-age workforce management, information systems, and data-driven decision-making. Citation analysis shows that digital health and technology-enabled workforce studies have significantly influenced the field. Furthermore, collaboration analysis demonstrates strong research partnerships among authors, institutions, and countries, with Australia emerging as a major contributor to international collaboration. The findings suggest that workforce planning research is shifting toward predictive, technology-enabled, and evidence-based approaches that emphasize workforce resilience, digital competencies, and organizational adaptability. This study contributes to the literature by providing a comprehensive overview of the evolution of workforce planning research and identifying promising directions for future investigations in the context of digital transformation.
Copyright (c) 2026 Loso Judijanto, Helmita Helmita https://creativecommons.org/licenses/by-sa/4.0
Integrative Mapping of Factors and Dynamics of Work-Life Balance in Flexible and Remote Work Arrangements: Systematic Review
This study aims to map the factors shaping and influencing the dynamics of work-life balance in flexible and remote work arrangements, as well as to identify research trends, theoretical perspectives, and existing research gaps in the literature. The study employed a Systematic Literature Review (SLR) approach using the PRISMA procedure through the Scopus database. From an initial 120 identified articles, 31 articles met the inclusion criteria and were selected for the final synthesis. The findings indicate that work-life balance is influenced by psychological, organizational, social, technological, and individual factors. The results also reveal paradoxical dynamics, where flexible work arrangements can improve autonomy and well-being while simultaneously increasing stress, burnout, role conflict, and blurred boundaries between work and personal life. The study concludes that work-life balance is the result of interactions among multiple factors within the modern work environment.
Copyright (c) 2026 Ryalno Stefano Noya https://creativecommons.org/licenses/by-sa/4.0
An Evaluation of the Use of People Analytics and Talent Management in Improving Human Resource Quality and Productivity in Manufacturing Companies in West Java
This study aims to evaluate the use of people analytics and talent management in improving the quality and productivity of human resources in manufacturing companies in West Java. The rapid development of digital transformation and Industry 4.0 has encouraged manufacturing organizations to adopt data-driven human resource management practices to enhance operational efficiency and workforce competitiveness. This study uses a quantitative research approach involving 150 respondents from manufacturing companies in West Java. Data were collected through questionnaires using a Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 3 software. The variables examined include people analytics, talent management, human resource quality, and human resource productivity. The results indicate that people analytics has a positive and significant effect on human resource quality with a path coefficient of 0.381 and a T-statistic of 5.842. Talent management also positively affects human resource quality with a path coefficient of 0.472 and a T-statistic of 7.116. Furthermore, human resource quality significantly influences human resource productivity with a path coefficient of 0.844 and a T-statistic of 18.527. The findings demonstrate that the integration of people analytics and talent management contributes significantly to improving workforce competency, professionalism, and productivity in manufacturing organizations. This study provides theoretical contributions to human resource management literature and practical implications for manufacturing companies in developing data-driven HR strategies and sustainable talent development systems to improve organizational competitiveness.
Copyright (c) 2026 Nanda Hidayati, Ilham Akbar Bunyamin, Paramita Andiani https://creativecommons.org/licenses/by-sa/4.0
Financial Information Transparency and Data Security on Building User Trust in Peer-to-Peer Lending Platforms in Indonesia
This study examines the influence of financial transparency and data security on user trust in peer-to-peer (P2P) lending platforms in Indonesia. The rapid growth of fintech services has increased public adoption of digital lending platforms; however, concerns regarding transparency and cybersecurity remain significant challenges affecting consumer confidence. This research employed a quantitative approach using a survey method involving 250 respondents who had experience using P2P lending platforms in Indonesia. Data were collected through structured questionnaires using a five-point Likert scale and analyzed using SPSS version 25. The results indicate that financial transparency has a positive and significant effect on user trust, demonstrating that clear and accessible financial information enhances perceptions of platform reliability and accountability. Data security was also found to positively and significantly influence user trust, indicating that strong protection of personal and financial information increases confidence in digital transactions. Simultaneously, financial transparency and data security significantly influence user trust in P2P lending services. The findings suggest that fintech companies should strengthen transparent financial communication and cybersecurity systems to maintain public trust and support the sustainable development of digital financial services in Indonesia.
Copyright (c) 2026 Meiske Wenno, Muhamad Ammar Muhtadi, Rully Fildansyah https://creativecommons.org/licenses/by-sa/4.0
Business Performance of Millennial Farmers in the Digital Era Based on Digital Agriculture, Internet Access, and Technology Literacy in East Java
This study aims to analyze the influence of digital agriculture, internet access, and technology literacy on the business performance of millennial farmers in East Java. The research employed a quantitative approach using a survey method involving 150 millennial farmers as respondents. Data were collected through questionnaires measured using a Likert scale and analyzed using IBM SPSS Statistics. The results indicate that digital agriculture, internet access, and technology literacy have positive and significant effects on business performance both partially and simultaneously. Technology literacy emerged as the most dominant variable influencing business performance, followed by digital agriculture and internet access. The coefficient of determination (R²) value of 0.520 indicates that 52.0% of the variation in business performance can be explained by the three independent variables. The findings suggest that the integration of digital technology, supported by adequate internet access and strong technological competence, contributes significantly to improving productivity, operational efficiency, market expansion, and business sustainability among millennial farmers. This study highlights the importance of strengthening digital infrastructure, expanding internet accessibility, and improving technology literacy to support sustainable agricultural transformation in the digital era.
Copyright (c) 2026 Rani Eka Arini, Christine Riani Elisabeth, Dila Padila Nurhasanah https://creativecommons.org/licenses/by-sa/4.0
Strategies for Interorganizational Relationships in the Implementation of the “Merdeka Belajar Kampus Merdeka” Initiative at Private Universities in Gorontalo
This study aims to analyze the Interorganizational Relationship (IOR) strategy in the implementation of the Independent Learning (Merdeka Belajar Kampus Merdeka MBKM) policy at private universities (PTS) in Gorontalo Province, emphasizing the dimensions of coordination, cooperation, and collaboration between organizations. In the context of MBKM, interorganizational relationships are key to expanding resource access, strengthening curriculum relevance, and improving the quality of experiential learning. This study uses a qualitative approach with a case study method in several private universities that have implemented the MBKM program in Gorontalo. Informants were purposively selected from the leadership of private universities, LLDIKTI Region XVI, and APTISI Gorontalo Region, with data collection techniques through in-depth interviews, participatory observation, and documentation studies. The results show that coordination between private universities is facilitated by APTISI and LLDIKTI through meeting forums that regularly discuss MBKM implementation, so that communication flows and information exchange are relatively well established. However, substantive cooperation and collaboration between private universities in the form of student exchanges and lecturer teaching outside their home base have hardly materialized, although these two indicators have great potential for development based on the MBKM Key Performance Indicators. Field findings reveal that weak cooperation and collaboration are influenced by institutional egos, competitive tendencies in student recruitment, similar capacities and resources across private universities, and complex internal bureaucracy. This study confirms that the success of MBKM implementation in Gorontalo's private universities is largely determined by the institution's ability to build inter-organizational networks that are not only coordinative but also collaborative and mutually beneficial in a sustainable manner.
Copyright (c) 2026 Rizal Rizal, Ansar Ansar, Sastro Mustapa Wantu, Yanti Aneta https://creativecommons.org/licenses/by-sa/4.0
Invisible Assets, Visible Problems: An Analysis of Issues in the Management of Intangible Assets in the Indonesian Government
Government agencies' ownership of intangible assets increases each year in line with the expansion of digitization programs; however, this is not always accompanied by optimal management. Many intangible assets eventually fall into disuse—either because they are no longer relevant to the agency's needs or have been replaced by new systems—yet they remain recorded as assets in government financial statements. This issue has ultimately drawn the attention of the Supreme Audit Agency of the Republic of Indonesia (BPK RI). During the 2014–2023 period, the BPK RI identified intangible assets that were no longer in use but were still recorded as current assets in the financial reports of ministries and agencies. Using content analysis, this article aims to describe issues in the management of intangible assets within the Indonesian government, with a focus on those no longer in use. The analysis results show that the BPK RI recommended that ministries and agencies write off these intangible assets because they are considered non-compliant with existing regulations, which stipulate that only intangible assets that are still in use may be recorded.
Copyright (c) 2026 Nur Aini, Jamaluddin Jamaluddin, Iskandar Iskandar https://creativecommons.org/licenses/by-sa/4.0
Analysis of Trends and Composition of Forest and Vegetative Land Rehabilitation Activities in the Limboto Lake Catchment Area for the Period 2021-2025
This study analyzes the temporal trend and activity composition of vegetative forest and land rehabilitation (RHL) in the catchment area of Lake Limboto for 2021–2025. A quantitative descriptive approach was applied to secondary data from the BPDAS Bone Limboto 2025 database, strengthened with year-on-year change rates, the coefficient of variation, concentration ratios, and the Herfindahl-Hirschman index to assess the program portfolio structure. The total area of vegetative RHL over five years reached 693 ha, with an annual mean of 138.6 ha and a coefficient of variation of about 79.9%, indicating a dynamic, phase-based implementation rhythm. The highest achievement occurred in 2022 (340 ha; 49.06%), while the two leading years (2022–2023) accounted for 74.31% of the total. By composition, core RHL planting dominated (262 ha; 37.81%), followed by watershed rehabilitation (200 ha; 28.86%) and the Community Nursery/KBR (183 ha; 26.41%); these three pillars formed 93.07% of the portfolio, with an effective number of activities of 3.33. The annual composition revealed a tiered pattern from seedling provision toward larger-scale planting. Spatial interpretation of the activity map showed interventions concentrated on the buffer hill belts to the north, west, and south of the catchment, consistent with an upstream-priority logic. The findings emphasize that RHL evaluation should consider temporal continuity and compositional balance, not only area achievement.
Copyright (c) 2026 Sitti Mutiah Rahman, Iswan Dunggio, Sukirman Rahim https://creativecommons.org/licenses/by-sa/4.0
Effectiveness of Technical Civil RHL Structure Distribution in the Lake Catchment Area Period 2021-2025 to Support The Ecosystem Resilience of Lake Limboto
Lake Limboto is one of Indonesia's national priority lakes subject to severe ecological pressure resulting from sedimentation and land-cover change within its catchment area (DTA). In response, the Watershed and Protected Forest Management Center of Bone Bolango (BPDAS Bone Bolango) implemented a Technical Civil Forest and Land Rehabilitation (RHL) program over the 2021–2025 period, constructing a total of 172 structures comprising Gully Plugs (GP), Sediment Retention Dams (DPN), Rainwater Harvesting Installations (IPAH), Infiltration Wells (SRA), and Ecohydraulic structures. This study analyzes the annual trends, proportional distribution, and functional relevance of each structure type in supporting the ecosystem resilience of Lake Limboto. Data were obtained from the BPDAS Bone Bolango Database (2026) and analyzed through annual trend tabulation, proportional analysis, and qualitative literature-based assessment. Results indicate that GPs dominated the total output at 79 units (45.93%), followed by IPAH and SRA at 34 units each (19.77%), DPN at 19 units (11.05%), and Ecohydraulic at 6 units (3.49%). Annual implementation fluctuated, peaking in 2022 (64 units) and 2024 (54 units), with complete stagnation in 2025. The combined deployment of erosion-control and water-conservation structures reflects an integrated conservation approach aimed at strengthening the hydrological and ecological resilience of the DTA. Recommendations include increasing the proportion of ecohydrological structures, integrating geospatial-based site prioritization, and ensuring program continuity beyond 2025.
Copyright (c) 2026 Safira Putri H. Malik, Iswan Dunggio, Sukirman Rahim https://creativecommons.org/licenses/by-sa/4.0
Integration of Digital Twins and IoT Sensors to Support Monitoring Accuracy and Maintenance Effectiveness in the Manufacturing Industry in the Cikarang Region
This study investigates the integration of digital twin technology and Internet of Things (IoT) sensors in improving monitoring accuracy and maintenance effectiveness within manufacturing companies in the Cikarang industrial region. A quantitative research design was employed using data collected from 125 respondents representing operational, maintenance, engineering, and managerial roles. The measurement instrument was developed using a Likert scale, and data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that the integration of digital twins and IoT sensors has a significant positive effect on monitoring accuracy, demonstrating that real-time data synchronization and simulation capabilities enhance system visibility and anomaly detection. Monitoring accuracy is also found to significantly influence maintenance effectiveness, highlighting the importance of accurate and timely information in supporting predictive maintenance practices. Furthermore, digital integration directly affects maintenance effectiveness, indicating that simulation-based insights and real-time data contribute to improved maintenance planning and reduced downtime. The model explains 61.2% of the variance in maintenance effectiveness (R² = 0.612), suggesting strong explanatory power. This study contributes to the literature on Industry 4.0 by providing empirical evidence on the role of integrated digital technologies in enhancing operational performance in a developing country context. Practically, the findings suggest that manufacturing firms should prioritize the integration of digital twins and IoT sensors to achieve higher monitoring accuracy and more effective maintenance strategies.
Copyright (c) 2026 Farida Arinie Soelistianto, Salwa Aulia Noviasari, Rully Fildansyah https://creativecommons.org/licenses/by-sa/4.0
The Impact of Climate Finance and Corporate Sustainability on Firm Value in Multinational Companies in Indonesia
This study examines the impact of climate finance and corporate sustainability on firm value in multinational companies operating in Indonesia. Using a quantitative approach, data were collected from 125 respondents through a structured questionnaire measured on a Likert scale. The analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3) to evaluate both direct and indirect relationships among variables. The results indicate that climate finance has a positive and significant effect on firm value, while corporate sustainability demonstrates a stronger positive influence. Furthermore, climate finance significantly affects corporate sustainability, indicating its role as a key driver of sustainability practices. Mediation analysis reveals that corporate sustainability partially mediates the relationship between climate finance and firm value, with a significant indirect effect. These findings suggest that the value of climate finance is maximized when it is effectively translated into sustainability practices. The study contributes to the literature by providing empirical evidence from an emerging market context and highlights the importance of integrating financial and sustainability strategies to enhance firm value. Practical implications emphasize the need for managers and policymakers to strengthen sustainability-oriented financial mechanisms to support long-term corporate performance and environmental responsibility.
Copyright (c) 2026 Loso Judijanto, Edy Arisondha https://creativecommons.org/licenses/by-sa/4.0
Legislative Incompetence Resulting from Poor Recruitment and It’s Implications for National Economic Policy
This study aims to analyze the causal relationship between the failure of political party recruitment design and the emergence of legislative incompetence and its implications for the quality of national economic policy. The background of this study is based on the phenomenon of low capacity of legislative members in carrying out legislative, budgeting, and oversight functions, which directly impacts the country's economic performance. The method used is an explanatory sequential mixed-methods approach with an institutional analysis and economic policy evaluation approach. Quantitative data were obtained from the profiles of members of the House of Representatives (DPR) for the 2019–2024 period and macroeconomic indicators, while qualitative data came from in-depth interviews and analysis of policy documents. The results show that weak regulations in political recruitment, particularly the absence of competency standards and merit-based selection mechanisms, have resulted in the dominance of legislators with low economic capacity. This condition triggers distortions in the legislative process, budgeting, and oversight of economic policy, characterized by budget misallocation, inconsistent policies, and low quality economic regulations. Further implications are seen in increasing fiscal inefficiency, a weakening investment climate, and hampered inclusive economic growth. This study concludes that reform of the political recruitment system is a fundamental prerequisite for improving the quality of national economic policy and promoting sustainable development.
Copyright (c) 2026 Eprinalia A, Laila Refiana Said, A Suriansyah, Patardo Haholongan Nainggolan, Indra Jaya Saputra https://creativecommons.org/licenses/by-sa/4.0
The Influence of Social Media Marketing and Electronic Word of Mouth on Purchase Intention of Sea Makeup Products through Brand Image on the TikTok Platform in Pekanbaru City
This study aims to analyze the influence of social media marketing and electronic word of mouth on purchase intention through brand image for Sea Makeup products on the TikTok platform in Pekanbaru City. The background of this study is based on the rapid growth of TikTok as a digital marketing platform that plays an important role in shaping consumer perceptions and purchase intentions, especially among Generation Z. The pre-survey results indicate that although content exposure is relatively high, consumer perceptions of the product remain varied. This study employs a quantitative approach using purposive sampling techniques involving 190 Generation Z women respondents in Pekanbaru City. Data were collected through a Likert-scale questionnaire and analyzed using the SEM-PLS method with the assistance of SmartPLS 4. The results show that social media marketing and e-WOM have a positive and significant effect on brand image and purchase intention. In addition, brand image also has a significant effect on purchase intention and is able to mediate the influence of social media marketing and e-WOM on purchase intention. These findings indicate that digital marketing activities and user interactions on TikTok play an important role in shaping brand image and increasing consumer purchase intention.
Copyright (c) 2026 Revi Marita, Prima Andreas, Dian Pratiwi, Henni Noviasari https://creativecommons.org/licenses/by-sa/4.0
Omnichannel Marketing and Customer Satisfaction: The Mediating Role of Service Quality Among Generation Z Consumers at Guardian Pekanbaru
This study aims to empirically examine the role of omnichannel marketing in enhancing customer satisfaction, with service quality acting as a mediating variable among Generation Z consumers at Guardian Pekanbaru. The integration of marketing channels has become increasingly critical in contemporary consumer behavior, particularly for digitally oriented Generation Z consumers who expect seamless shopping experiences. Data were collected from 100 respondents using a purposive sampling technique, focusing on consumers who had engaged in purchases across multiple channels (online and offline). The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS 4. The results indicate that omnichannel marketing has a positive and significant effect on both service quality and customer satisfaction. Furthermore, service quality significantly mediates the relationship between omnichannel marketing and customer satisfaction, suggesting that effective channel integration enhances perceived service quality and strengthens customer satisfaction.
Copyright (c) 2026 Ghina Soraya, Prima Andreas, Dian Pratiwi, Henni Noviasari https://creativecommons.org/licenses/by-sa/4.0
The Effect of E-Service Quality BYOND by BSI on Customer Satisfaction and Customer Loyalty at Bank Syariah Indonesia in Pekanbaru
This study aims to analyze the effect of E-Service Quality of BYOND by BSI on customer satisfaction and loyalty among customers of Bank Syariah Indonesia in Pekanbaru City. This research employs a quantitative approach, with the population consisting of all Bank Syariah Indonesia customers in Pekanbaru who use the BYOND by BSI application. The sampling technique used is purposive sampling, with a total sample of 130 respondents. Data analysis is conducted using the Structural Equation Modelling–Partial Least Square (SEM-PLS) method with the assistance of SmartPLS software version 4.1.1.8. The results indicate that E-Service Quality has a positive and significant effect on customer satisfaction. Customer satisfaction also has a positive and significant effect on customer loyalty. Furthermore, E-Service Quality has a positive and significant effect on customer loyalty through customer satisfaction as a mediating variable. These findings suggest that the better the quality of electronic services provided, the higher the level of customer satisfaction, which in turn encourages the development of customer loyalty.
Copyright (c) 2026 Fitriana Tobing, Aida Nursanti, Henni Noviasari https://creativecommons.org/licenses/by-sa/4.0
Advanced Materials in Engineering: A Bibliometric Review
This bibliometric review examines the field of advanced materials in engineering, focusing on the evolution, key trends, and future directions. By applying bibliometric techniques such as citation analysis, co-authorship networks, and keyword co-occurrence, this study identifies influential papers, authors, and research themes in the domain. The findings reveal the growing prominence of sustainable materials, energy storage technologies, and biomedical applications, with energy-related materials, such as lithium-ion batteries, receiving significant attention. The increasing integration of computational methods, including machine learning and density functional theory, highlights the role of data-driven approaches in accelerating material discovery. Additionally, the study underscores the importance of interdisciplinary collaborations across engineering, chemistry, and biology to address global challenges. This review offers valuable insights for researchers and professionals, pointing to emerging trends in advanced materials research and their potential impact on technological and societal advancements.
Social Determinants of Mental Health among Migrants, Refugees, and Displaced Populations: A Systematic Literature Review
Mental health among migrants, refugees, asylum seekers, and internally displaced persons has become an increasingly important public health concern, yet the evidence remains fragmented across population groups, determinants, and disciplinary traditions. This study aimed to systematically review the social determinants of mental health among migrants, refugees, and displaced populations, with particular attention to how employment, housing, social networks, and legal and policy conditions shape psychological outcomes across different migration contexts. This article was conducted as a Systematic Literature Review using a PRISMA aligned approach. The review drew on peer reviewed empirical studies identified through a structured Scopus based search strategy, supported by explicit inclusion and exclusion criteria, staged screening, design appropriate quality appraisal, and thematic synthesis. The review focused on adult migrants, refugees, asylum seekers, temporary migrant workers, and internally displaced persons, and examined mental health outcomes including depression, anxiety, distress, trauma related symptoms, wellbeing, and psychosocial functioning. The findings show that migrant mental health is shaped not only by trauma exposure but by interconnected post migration social determinants. Employment insecurity, underemployment, wage exploitation, and income instability were consistently associated with anxiety, depression, and psychological distress. Housing insecurity, overcrowding, poor living environments, and unstable shelter conditions emerged as major stressors affecting safety, autonomy, and future stability. Social support, family contact, and community ties functioned as important protective factors, but family separation, loneliness, and remittance obligations also generated emotional and financial strain. Legal precarity, exclusionary welfare systems, temporary visa regimes, and barriers to healthcare intensified structural vulnerability and restricted access to protection and care. Across the reviewed studies, these determinants operated cumulatively and interactively rather than independently, reinforcing the importance of multi level explanatory frameworks. Overall, the review demonstrates that mental health among migrants and displaced populations is best understood as a structural public health issue. The study contributes to existing knowledge by integrating fragmented evidence into a coherent framework linking material, relational, and policy determinants. It also highlights the need for longitudinal, comparative, and more inclusive research to support rights based and multisectoral policy responses.
Copyright (c) 2026 Dudiyanto Pakaya, Fitryne Lihawa, Iswan Dunggio https://creativecommons.org/licenses/by-sa/4.0
A Bibliometric Analysis of Foreign Direct Investment
This study aims to systematically map the development of Foreign Direct Investment (FDI) research using a bibliometric approach. Data were collected from the Scopus database covering the period 2000–2026. The analysis employs bibliometric techniques, including co-authorship, citation, keyword co-occurrence, overlay, and density visualization, using VOSviewer to identify research patterns, influential contributors, and thematic evolution within the field. The results show that FDI research has grown significantly and is dominated by key countries such as China, the United States, and India, which act as central hubs in global collaboration networks. Citation analysis reveals that highly influential studies largely focus on the relationship between FDI, economic growth, and environmental sustainability. Furthermore, keyword analysis indicates a shift from traditional economic themes toward more interdisciplinary topics, including renewable energy, carbon emissions, and sustainable development. The overlay and density visualizations confirm that sustainability-related issues are emerging as prominent research areas in recent years. This study contributes by providing a comprehensive overview of the intellectual structure of FDI research, identifying key trends, and highlighting future research directions, particularly in the integration of sustainability, digital transformation, and global policy frameworks.
A Bibliometric Study of Software Architecture
This study provides a comprehensive bibliometric analysis of software architecture research to map its intellectual structure, collaboration patterns, and thematic evolution. Data were collected from the Scopus database, covering publications from 2000 to 2026. The analysis employs quantitative bibliometric techniques and network visualization using VOSviewer, including co-authorship, citation, keyword co-occurrence, overlay, and density analyses. The results indicate that software architecture research has experienced substantial growth, characterized by increasing global collaboration and the emergence of dominant research hubs such as China, the United States, and India. Citation analysis highlights that the most influential studies are largely driven by technological tools, frameworks, and artificial intelligence innovations, reflecting a shift toward application-oriented research. Furthermore, keyword analysis reveals that while traditional topics such as architectural design and system performance remain central, emerging themes such as machine learning, cloud computing, and interdisciplinary applications—particularly in bioinformatics—are gaining prominence. The overlay and density visualizations confirm a temporal transition toward more adaptive, efficient, and data-driven architectural paradigms. Overall, this study contributes to a deeper understanding of the development and current trends in software architecture research, offering insights into future directions and supporting strategic research planning in this rapidly evolving field.
A Bibliometric Study of Internal Audit Research Development
This study aims to analyze the development of internal audit research through a comprehensive bibliometric approach. Using data collected from the Scopus database covering the period 2000–2026, this research examines publication trends, influential authors, leading countries, and the conceptual structure of the field. Bibliometric techniques, including co-authorship analysis, citation analysis, keyword co-occurrence, overlay visualization, and density mapping, were conducted using VOSviewer. The results indicate that internal audit research has experienced significant growth and increasing global collaboration, with dominant contributions from developed countries such as the United States and the United Kingdom. The intellectual structure of the field is centered on traditional themes such as internal control, auditing, and risk management, while emerging topics such as digital transformation, artificial intelligence, and sustainability are gaining prominence. The findings also reveal that internal audit research is becoming more interdisciplinary, extending into areas such as healthcare and environmental governance. This study contributes by providing a structured overview of the knowledge landscape and identifying research gaps, particularly in technology integration and sustainability practices. The results are expected to guide future research directions and support the advancement of internal audit practices in a rapidly evolving business environment.
Copyright (c) 2026 Loso Judijanto, Ni Ketut Sukanti https://creativecommons.org/licenses/by-sa/4.0
This study aims to map the intellectual structure, development trends, and research dynamics of brand purpose through a bibliometric approach. Data were collected from the Scopus database covering the period 2000–2026 and analyzed using VOSviewer to generate co-authorship, country collaboration, citation, and keyword co-occurrence networks. The results indicate a significant increase in publications over the last decade, reflecting growing academic and practical interest in purpose-driven branding. The United States and China emerge as dominant contributors, with extensive international collaboration networks. Thematic analysis reveals that brand purpose research is strongly connected to social media, consumer behavior, and marketing, while also expanding into sustainability, ESG, and technological domains such as artificial intelligence. The overlay and density visualizations further demonstrate a shift from traditional branding constructs toward more dynamic, technology-driven, and ethically oriented themes. Despite this progress, the field remains moderately fragmented, with limited contributions from developing regions. This study contributes by providing a comprehensive overview of the evolution and structure of brand purpose research, identifying key trends, influential works, and future research opportunities. The findings offer valuable insights for both academics and practitioners seeking to understand and implement brand purpose strategies in an increasingly complex and socially conscious marketplace.
Flexible Work Arrangements: A Bibliometric Review
This study presents a comprehensive bibliometric analysis of Flexible Work Arrangements (FWAs) to explore the intellectual structure, research trends, and thematic evolution within the field. Using data retrieved from the Scopus database covering the period 2000–2026, this study applies bibliometric techniques including co-authorship, citation analysis, keyword co-occurrence, and visualization using VOSviewer. The findings reveal a significant increase in FWA-related publications, particularly after the COVID-19 pandemic, indicating the growing importance of flexible work in contemporary organizational contexts. The results identify key research clusters centered on work–life balance, job satisfaction, employee well-being, and remote work practices. Additionally, the analysis highlights the dominance of developed countries such as the United States and China in knowledge production, while emerging economies show increasing participation. The thematic evolution demonstrates a shift from traditional human resource management perspectives toward multidisciplinary approaches incorporating digital transformation, mental health, and workplace sustainability. This study contributes to the literature by providing a structured overview of FWA research, identifying influential contributions, and highlighting future research directions, particularly in cross-cultural and long-term organizational impacts of flexible work systems.
Predictive Analytics in Finance: A Bibliometric Study
Predictive analysis has become an essential component in modern financial research and practice, driven by the rapid advancement of data analytics, machine learning, and artificial intelligence. This study aims to systematically map the intellectual structure, research trends, and key contributions in the field of predictive analysis in finance through a bibliometric approach. Data were collected from the Scopus database covering publications from 2000 to 2026 and analyzed using VOSviewer to examine co-authorship networks, citation patterns, and keyword co-occurrence. The results reveal a significant growth in research output, particularly in recent years, reflecting the increasing importance of data-driven decision-making in finance. Co-authorship analysis indicates the presence of collaborative research clusters, although the field remains partially fragmented. Citation analysis highlights that the most influential studies are those integrating advanced computational methods with practical financial applications, such as credit scoring, bankruptcy prediction, and stock market forecasting. Furthermore, keyword analysis demonstrates a clear shift from traditional statistical techniques toward machine learning, artificial intelligence, and emerging technologies such as blockchain and decentralized finance. This study contributes by providing a comprehensive overview of the evolution and current state of predictive analysis in finance, identifying key research themes and gaps. The findings suggest that future research should focus on enhancing model interpretability, integrating sustainability considerations, and expanding applications in real-time financial decision-making. Overall, this study serves as a valuable reference for researchers and practitioners seeking to understand the trajectory and future direction of predictive analytics in the financial domain.
Human Resource Competence and Fintech Adoption among Maluku MSMEs: Digital Literacy as Mediator
Despite the rapid development of financial technology (fintech), its adoption among micro, small, and medium enterprises (MSMEs) in archipelagic regions remains uneven due to differences in human resource capacity and digital readiness. This study analyzes the effect of human resource competence on fintech adoption among MSMEs in Maluku Province, with digital literacy as a mediating variable. The study employs a quantitative explanatory approach using primary data collected from 230 MSME actors through structured questionnaires. The data were analyzed using Partial Least Squares–based Structural Equation Modeling (SEM-PLS) to examine both direct and mediating relationships among variables. The results show that human resource competence has a positive and significant effect on digital literacy (β = 0.672; p < 0.001) and on fintech adoption (β = 0.429; p < 0.001). In addition, digital literacy has a positive and significant effect on fintech adoption (β = 0.512; p < 0.001) and partially mediates the relationship between human resource competence and fintech adoption. These findings indicate that digital literacy plays an important mechanism that enables human resource competencies to be translated into the utilization of digital financial technologies. Theoretically, this study extends the perspectives of Resource-Based View and Human Capital by demonstrating the mediating role of digital literacy in technology adoption among MSMEs. Practically, the results emphasize the importance of integrating human resource competence development with digital literacy enhancement to accelerate fintech adoption and support MSME digital transformation, particularly in archipelagic regions with limited digital infrastructure such as Maluku.
Copyright (c) 2026 Pieter Novry Ruddy Rehatta, Hansen Rumtutuly https://creativecommons.org/licenses/by-sa/4.0
Effect of Village Fund Financial Management on Financial Performance: Mediating Role of Community Participation
Village fund management is a crucial factor in determining village financial performance, but empirical findings related to this relationship still show inconsistent results, particularly regarding the role of community participation. This study aims to analyze the effect of Village Fund financial management on village financial performance by considering the mediating role of community participation. The study uses a quantitative approach with an explanatory research design and was conducted in 19 villages in Taniwel Subdistrict, West Seram Regency. Primary data were collected through structured questionnaires administered to village officials directly involved in village financial management and analyzed using Partial Least Squares (PLS)-based Structural Equation Modeling (SEM). The results show that Village Fund financial management has a positive and significant effect on village financial performance. In addition, transparent and accountable financial management has been shown to significantly increase community participation. Community participation also has a positive effect on village financial performance and acts as a mediating variable that strengthens the influence of financial management on village financial performance. These findings confirm that improving village financial performance requires synergy between the quality of financial management and active community involvement, especially in the context of villages in Taniwel Subdistrict.
Village Fund Financial Management, Financial Performance, Community Participation.
Copyright (c) 2026 Martha Racwel Patty https://creativecommons.org/licenses/by-sa/4.0