Dinasti International Journal of Education Management and Social Science
Dinasti International Journal of Education Management and Social Science (DIJEMSS) from Volume 6 Number 3 of 2025 to Volume 11 Number 2 of 2030 Accredited Sinta Rank 2 according to Accreditation Sinta number: 295/C/C3/KPT/2026, February 3rd, 2026. Dinasti International Journal of Education Management and Social Science (DIJEMSS) is the scientific journal of educational and social science research published since 2019 by Dinasti Publisher under the auspices of Yayasan Dharma Indonesia Tercinta (DINASTI) and Universitas Winaya Mukti (UNWIM) Bandung. Dinasti International Journal of Education Management and Social Science (DIJEMSS) articles which contribute to the understanding, theoretical development, theoretical concept and implementation of theories of education al any levels. This Journal publishes Original Research Articles, Review, Short Communications, Essays and Case Studies within the whole field of Education and Social Science their related and applied fields. The Review Issues cover a broad range of topics from a wide range of academic disciplines, methodologies, and theoretical paradigms. It aims to promote excellence through dissemination of high-quality research findings, specialist knowledge, and discussion of professional issues that reflect the diversity of this field. The journal publishes a broad range of papers from all branches of education and individual or group learning relating to education and social science, including but not limited to curriculum, elementary and secondary education, higher and adult education, teacher education, the education of special groups, gender and education, applied linguistics or language education, educational and information technology, educational theory, research and methodologies. Editors will accept articles that have never been published by other journal publishers. The article published in the opinion of the researcher and not the opinion of the editor or the Publisher. The determination of articles published in Dinasti International Journal of Education Management and Social Science (DIJEMSS) has been passed a review process by the editorial team by considering the following: Fulfillment of the standard requirements of journal publications, the research methods used, the significance, and contribution of research results to the development of Education Management and Social Science.
Authors who publish their manuscripts in this journal agree to the following conditions: The copyright on each article belongs to the author(s). The author acknowledges that the Dinasti International Journal of Education Management and Social Science (DIJEMSS) has the right to be the first to publish with a Creative Commons Attribution 4.0 International license (Attribution 4.0 International (CC BY 4.0). Authors can submit articles separately, arrange for the non-exclusive distribution of manuscripts that have been published in this journal into other versions (e.g., sent to the author's institutional repository, publication into books, etc.), by acknowledging that the manuscript has been published for the first time in the Dinasti International Journal of Education Management and Social Science (DIJEMSS).
The Effect of on Time Performance, Tracking System and Cargo Insurance on Customer Loyalty Through Customer Satisfaction Moderated By Age
This study examines the effects of on-time performance, tracking systems, and cargo insurance on customer loyalty in logistics services, with customer satisfaction as a mediating variable and age as a moderating factor. A quantitative approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through questionnaires from 318 logistics service users, providing adequate statistical robustness. The findings indicate that on-time performance, tracking systems, and cargo insurance significantly influence both customer satisfaction and customer loyalty. Customer satisfaction plays a key mediating role by strengthening the relationship between service attributes and loyalty. Moderation analysis shows that age strengthens these relationships among Generation Z. Overall, the study highlights the critical role of service reliability, information transparency, and risk protection in enhancing customer satisfaction and loyalty in logistics services
Copyright (c) 2026 Isti Fani, Edi Abdurachman, Juliater Simarmata, Nofrisel Nofrisel https://creativecommons.org/licenses/by/4.0
Digital Marketing Transparency and Its Impact on Investor Perception and Investment Intention in the Construction Sector: A Study in West Java
The construction industry has increasingly relied on digital marketing channels to communicate corporate information to potential investors, particularly in regions experiencing rapid infrastructure development such as West Java. In this context, transparency in digital marketing has become a critical factor influencing how investors perceive firms and evaluate investment opportunities. This study aims to examine the effect of digital marketing transparency on investor perception and its implication for investment intention in the construction sector in West Java. This study employs a quantitative research approach using a survey method. Data were collected from individual and institutional investors who have invested or intend to invest in construction companies operating in West Java. The data were analyzed using Structural Equation Modeling (SEM) to examine the relationships between digital marketing transparency, investor perception, and investment intention. The results indicate that digital marketing transparency has a positive and significant effect on investor perception. Furthermore, investor perception significantly influences investment intention. The findings also reveal that investor perception mediates the relationship between digital marketing transparency and investment intention. These results suggest that transparent digital marketing practices such as clear disclosure of project information, financial performance, and risk communication play an essential role in shaping investor confidence and behavioral intention in the construction sector. This study contributes to marketing and investment behavior literature by extending the application of digital marketing transparency to the investor context, particularly within the construction industry. Practically, the findings highlight the importance for construction firms to adopt transparent digital communication strategies to enhance investor perception and attract sustainable investment in regional infrastructure development.
Copyright (c) 2026 Zulki Zulkifki Noor https://creativecommons.org/licenses/by/4.0
Digital HRM Capability, HPWS and Service Performance: The Mediating Role of Employee Engagement at PT PELNI, Indonesia
This study examines how Digital HRM capability and high-performance work systems (HPWS) influence employee service performance through employee engagement in Indonesia’s state-owned maritime transport context (PT PELNI). A cross-sectional survey of Head Office employees was analysed using PLS-SEM; reliability and validity were assessed, and mediation was tested via bootstrapped indirect effects (5,000 resamples). Digital HRM capability is positively associated with employee engagement, and engagement is strongly associated with employee-level service performance. Engagement mediates the relationship between Digital HRM capability and service performance (indirect-only mediation), indicating that digital HR capability contributes to service outcomes primarily by shaping employee experience. In contrast, HPWS is not significantly related to engagement, and the hypothesised engagement-mediated pathway from HPWS to service performance is not supported. The study contributes by clarifying an employee-experience mechanism linking digital HR capability to service behaviour and extending evidence to an under-researched state-owned maritime service organisation in an emerging-economy context. Keywords: Digital HRM capability; high-performance work systems (HPWS); employee engagement; employee experience; service performance; state-owned enterprise; emerging economy. Article classification: Research paper.
Copyright (c) 2026 Syamsyir Luchan, Suharno Pawirosumarto, Muhammad Ridwan https://creativecommons.org/licenses/by/4.0
Business Performance Determination Mediated by Innovation Capabilities in New Independent Workers: Analysis of Self-Efficacy, Financial Literacy, and Strategic Partnerships
This study examines the influence of self-efficacy, financial literacy, and strategic partnerships on business performance, with innovation capability acting as a mediating variable among new independent workers at the Ministry of Manpower of the Republic of Indonesia. The research applies a quantitative descriptive design using a survey approach to collect data from respondents. The analysis is conducted using Structural Equation Modelling–Partial Least Squares (SEM-PLS) with SmartPLS 4.0. The findings indicate that self-efficacy significantly and positively influences innovation capability, suggesting that individuals with greater confidence in their abilities are more likely to develop innovative ideas and practices in their businesses. Financial literacy also shows a positive and significant effect on innovation capability, highlighting the importance of financial knowledge in supporting innovative business activities. However, strategic partnerships do not significantly affect innovation capability. In terms of business performance, self-efficacy, financial literacy, strategic partnerships, and innovation capability, each demonstrates a positive and significant impact. Furthermore, innovation capability successfully mediates the relationship between self-efficacy and business performance as well as between financial literacy and business performance. Conversely, innovation capability does not mediate the relationship between strategic partnerships and business performance in this study.
Copyright (c) 2026 Safitri Siswono, Sri Widyastuti, Tri Widyastuti https://creativecommons.org/licenses/by/4.0
Dynamic Content Marketing Model Based on Social Sentiment and Real-Time Trends: A Cross-Sectoral Study on Generation Z in Southeast Asia
Generation Z in Southeast Asia is increasingly shaping the digital consumer ecosystem, creating demand for adaptive and data-informed content marketing strategies. However, existing studies often examine social sentiment and real-time trends separately and rarely integrate them within a dynamic content framework. Addressing this gap, this study proposes an exploratory dynamic content marketing model that combines social sentiment analysis and real-time trend monitoring to explain engagement dynamics among Generation Z. Positioned as a pilot exploratory study, the research employed a quantitative survey of 82 respondents in Indonesia and Malaysia and sentiment analysis of 3,500 social media posts collected over two months. The data were analysed using descriptive statistics and Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings indicate that social sentiment positively influences perceived content relevance, while real-time trend signals show unstable effects on personalisation and engagement, suggesting a volatility risk in trend-driven content strategies. The results also reveal that engagement operates as a proximal outcome of dynamic content strategies, whereas trust and purchase intention exhibit weaker structural relationships. Rather than confirming a predictive model, the study provides preliminary evidence that integrating sentiment monitoring and trend analytics can support more adaptive content strategies while highlighting the limitations of trend dependency. This research contributes by proposing a sentiment-calibrated dynamic content framework, identifying the volatility effect of real-time trends, and distinguishing engagement outcomes from transactional intentions in digital marketing contexts. Future studies with larger samples and refined measurement constructs are needed to validate and extend this preliminary framework.
Copyright (c) 2026 Adi Suroso, Anna Maria Ngabalin, Lutfi Lutfi https://creativecommons.org/licenses/by/4.0
Leveraging Strategic Management and Digital Marketing for Sustainable Competitive Advantage in Indonesia's Tourism Industry
This study investigates how strategic management and digital marketing integration creates sustainable competitive advantage in Indonesia's tourism industry. While digital technology adoption is widespread, the strategic alignment of digital initiatives with core business strategies remains underexamined in emerging economy tourism contexts. Employing an explanatory sequential mixed-methods design with 102 survey respondents and 18 industry experts, this research demonstrates that strategic-digital integration significantly influences customer engagement and business performance. Although 94% of businesses utilize digital marketing tools, only 62% fully integrate them with strategic objectives—revealing a critical implementation gap. The study extends Dynamic Capabilities Theory and Resource-Based View by conceptualizing "digital strategic fit" and "digital strategic resilience." Findings suggest competitive advantage emerges not from technology adoption alone, but from strategic reconfiguration aligning digital capabilities with organizational objectives.
Copyright (c) 2026 Dian Sudiantini, Eteh Resa Asyifa, Debby CH Rende https://creativecommons.org/licenses/by/4.0
The Effect of Organizational Climate and Self-Efficacy on Organizational Commitment with Job Satisfaction as a Mediating Variable: An Empirical Study on Employees in the Multifinance Industry in Jakarta
This study aims to examine the impact of Organizational Climate and Self-Efficacy on Organizational Commitment, with Job Satisfaction acting as a mediating variable. The research population consisted of 1,294 permanent employees in multifinance companies in Jakarta, with a sample of 248 selected through proportional random sampling. A mixed-methods approach was employed, combining quantitative analysis using Path Analysis with qualitative insights from the Delphi technique to gather expert input from human resource practitioners. The results indicate that Organizational Climate and Self-Efficacy positively and significantly influence Organizational Commitment directly. In addition, both variables also have positive and significant indirect effects on Organizational Commitment through Job Satisfaction, although the mediating role of Job Satisfaction was found to be less effective. The findings highlight that supportive supervision, employee confidence in competencies, and promotion opportunities are key aspects of Job Satisfaction that strengthen commitment. Based on these results, Human Resources policymakers are advised to prioritize strategies that enhance Organizational Climate through clear work structures and supervisory support, develop Self-Efficacy by increasing task confidence and scope, and improve Job Satisfaction via promotion opportunities, compensation, and effective supervision. These interventions are essential for sustaining employee performance and retention in the dynamic multifinance industry.
Copyright (c) 2026 Joko Ariawan, Didik Notosudjono, Widodo Sunaryo https://creativecommons.org/licenses/by/4.0
Smart Cities as a Local Government Innovation and Governance Reform Agenda: A Bibliometric and Systematic Literature Review
Smart city initiatives have rapidly increased; however, existing literature is fragmented across technological, urban planning, and governance frameworks. This study examined smart city research within the framework of local government innovation and governance reform. This research employed an integrated review strategy that combines bibliometric analysis with a PRISMA-compliant systematic literature review, analyzing 482 peer-reviewed journal articles indexed in Scopus to outline the field's history, intellectual framework, and thematic structure. The results indicate a notable transition from technology-focused narratives to frameworks that emphasize governance and public value. Smart cities should be regarded as socio-technical governance systems that utilize digital platforms to improve citizen engagement, policy development, and service delivery. Institutional capability, regulatory alignment, and organizational learning enable the transformation of digital investments into enduring public benefits. This study presents a capability-oriented framework for the analysis of smart city performance and situates urban digital transformation within decentralized local self-governance systems.
Copyright (c) 2026 Edem Lekettey, Nugraha Nugraha, Maya Sari, Denny Andriana https://creativecommons.org/licenses/by/4.0
The Influence of Interfunctional Collaboration on Management Traffic by Operations through AOCC Performance at Ngurah Rai Airport
I Gusti Ngurah Rai International Airport in Bali is one of the busiest airports in Indonesia, serving over 19 million passengers in 2023. With an average of 390 aircraft movements per day and a high proportion of international wide-body flights, the airport faces increasing operational complexity. Challenges such as limited apron space, slot overlaps, and fragmented coordination among stakeholders often result in delays and reduced passenger satisfaction. This study aims to analyse the influence of interfunctional collaboration on traffic operation management performance through the roles of AOCC service quality and performance. Using a quantitative descriptive approach, the study involves 150 respondents selected through stratified random sampling. Primary data were collected via questionnaires, supported by secondary data such as operational reports and previous research. Data analysis was conducted using Structural Equation Modeling (SEM) with SmartPLS 4.0. These findings demonstrate that the implementation of A-CDM and a well-performing AOCC plays a crucial role in supporting airport operational resilience. Strengthened coordination, data-driven resource allocation, and integrated monitoring systems under A-CDM collectively contribute to better management operations by Traffic, improving not only operational efficiency but also overall passenger experience at Ngurah Rai Airport.
Copyright (c) 2026 Binsar Reynold , Juliater Simarmata, Yulianti Keke https://creativecommons.org/licenses/by/4.0
Reconceptualizing Urban Tourism Decision Making: City Image as a Mediating Mechanism Linking Branding, e-WOM, and Tourism Entrepreneurship
This study aims to examine how city branding, electronic word of mouth (e-WOM), and tourism entrepreneurship influence tourists’ visiting decisions, with city image positioned as a mediating mechanism in an emerging urban tourism destination. The research was conducted in Sungai Penuh City, Indonesia, using a quantitative cross-sectional survey design. Data were collected from 200 tourists who had previously visited the city through structured questionnaires measured on a five-point Likert scale. The analysis employed Partial Least Squares Structural Equation Modelling (PLS-SEM) using SmartPLS software to test both direct and indirect relationships among constructs. The findings reveal that city branding, e-WOM, and tourism entrepreneurship have significant positive effects on city image. City image, in turn, exerts a strong and significant influence on tourists’ visiting decisions. However, the direct effects of city branding, e-WOM, and tourism entrepreneurship on visiting decisions are not statistically significant. Mediation analysis confirms that city image fully mediates the relationships between all antecedent variables and tourists’ visiting decisions. Tourists’ visiting decisions in urban destinations are primarily driven by perception-based mechanisms. Branding strategies, digital narratives, and entrepreneurial signals influence behavior only through the formation of a favourable city image. This study is limited by its cross-sectional design and focus on a single emerging city, which may constrain generalizability. This study contributes to destination marketing and urban tourism literature by integrating tourism entrepreneurship into destination image theory and highlighting the central mediating role of city image in shaping tourist decision making, offering practical insights for destination managers and policymakers.
Copyright (c) 2026 Ferry Satria, Haryadi Haryadi, Syahmardi Yacob, Junaidi Junaidi https://creativecommons.org/licenses/by/4.0
Satisfaction as an Experience Engine in Promotion-Intensive Marketplaces: The Roles of Platform-Mediated Relationship Infrastructure and Price Fairness in Repurchase Intention (Shopee, Indonesia)
This study investigates how price fairness and platform-mediated relationship infrastructure shape repurchase intention in a promotion-intensive online marketplace, and whether customer satisfaction is the dominant mechanism linking these drivers to repeat buying. Using a cross-sectional survey of active Shopee customers in Indonesia (N = 200), we analysed the model with partial least squares structural equation modelling (PLS-SEM) and tested indirect effects via bootstrapping. Customer satisfaction strongly predicts repurchase intention. Relationship infrastructure captured through responsiveness, assurance, and service recovery significantly increases satisfaction but shows no direct effect on repurchase intention, indicating full mediation through satisfaction. Price fairness does not significantly influence satisfaction and has only a weak direct association with repurchase intention, suggesting that fairness functions more as an acceptability and credibility cue than as a driver of satisfaction. The findings position governable relationship infrastructure as a retention engine and pricing transparency as a procedural safeguard.
Copyright (c) 2026 Rafnelly Rafki, Sarjon Defit, Elfiswandi Elfiswandi https://creativecommons.org/licenses/by/4.0
Technological Determinism in Practice: A Case Study of Media Monitoring Tools in Government Public Relations
This study aims to explore how the use of media monitoring technology by the Public Relations (PR) department of the Ministry of State Secretariat of the Republic of Indonesia represents technological determinism in the context of government communication. The research approach used is descriptive qualitative with a constructivist paradigm, through case studies, observations, document studies, and in-depth interviews with senior public relations officers at the Ministry of State Secretariat of the Republic of Indonesia. The findings reveal that the implementation of artificial intelligence (AI)-powered media monitoring tools has significantly transformed PR workflows. AI technology facilitates accelerated issue monitoring, policy recommendation development, and enhanced strategic communication effectiveness. However, the validity of AI-generated data necessitates human interpretation and analysis to ensure accurate decision-making. This study asserts that technology is not merely an assistive tool but also a force that shapes organizational behavior. Within the framework of technological determinism, AI-driven media monitoring becomes an entity that contributes to shaping the direction of government communication systemically and structurally.
Copyright (c) 2026 Inas Ulfa Hapsari, Novia Anggi, Irwansyah Irwansyah https://creativecommons.org/licenses/by/4.0
The Influence of Price and Online Customer Reviews on Fashion Purchase Decisions with Product Quality as a Mediating Variable on TikTok Shop
This study aims to examine the role of product quality in mediating the influence of prices and online customer reviews on fashion product purchase decisions among TikTok Shop users in Jakarta. A quantitative approach was used in a survey method of 160 respondents who were selected using purposive sampling techniques. Data analysis was carried out using Structural Equation Modelling (SEM) with the help of SmartPLS software. The results of the study show that price has a positive and significant effect on product quality and purchase decisions. Online customer reviews have a negative and significant direct effect on purchase decisions. In addition, product quality significantly mediates the effect of price on purchase decisions. Meanwhile, product quality does not significantly mediate the influence of online customer reviews on purchase decisions.
Copyright (c) 2026 Viniyati Maftuchach , Yatita Ratu Amanda , Lela Nurlaela Wati https://creativecommons.org/licenses/by/4.0
Price Perception and E-WOM Effects on Brand Image and Purchase Intention in Air India
This research was conducted to find out the influence of Price and Electronic Word of Mouth (e-WOM) through Brand Image as an intervening variable on Purchase Intention in Air India Airlines. The population in this study were respondents from various countries who had prior experience and familiarity with Air India. The study employed purposive sampling and adopted a quantitative design using SEM-PLS through SmartPLS. A total of 200 responses were collected via structured questionnaires. The results show that both Price and e-WOM significantly impact Brand Image. However, e-WOM does not significantly affect Purchase Intention, directly or indirectly, while Price and Brand Image have a significant direct influence on Purchase Intention. This study contributes to the literature on airline marketing by highlighting the mediating role of brand image in emerging markets, offering strategic insights for airlines seeking digital reputation recovery.
Copyright (c) 2026 Aisyah Rahmawati, Teuku Alwi Isyan, Abdul Ghafar, Deslida Saidah, Vica Nurhayani Harahap https://creativecommons.org/licenses/by/4.0
The Effect of Sales Promotion on Repurchase Intention Mediated by Service Quality, Promotion Attractiveness, and Consumer Satisfaction in Indonesian Airlines
This study aims to analyze the effect of sales promotions on repurchase intention mediated by service quality, promotional attractiveness, and customer satisfaction. This study employs a descriptive quantitative approach using a survey method. Data were analyzed using Structural Equation Modeling Partial Least Squares (SEM-PLS) with SmartPLS 4.0. The results indicate that customer satisfaction, promotional appeal, and sales promotion have significant effects on repurchase intention, while service quality does not show a significant effect on repurchase intention; 2) Promotional appeal has a significant effect on repurchase intention; 3) Service quality does not have a positive and significant effect on repurchase intention; 4) Sales promotions do not have a positive and significant effect on customer satisfaction; 5) Sales promotions significantly influence promotional appeal; 6) Sales promotions significantly influence service quality; 7) Sales promotions significantly influence repurchase intention; 8) Sales promotions do not significantly influence repurchase intention through service quality; 9) Sales promotions positively and significantly influence repurchase intention through promotional appeal; 10) Sales promotions significantly influence repurchase intention through customer satisfaction
Copyright (c) 2026 Imam Ozali, Edi Abdurachman, Yuliantini Yuliantini, Sandriana Marina https://creativecommons.org/licenses/by/4.0
Digital Transformation and Operational Efficiency: A Two-Stage DEA Approach in Electricity Distribution Units in Central Java and the Special Region of Yogyakarta
This study examines the impact of digital transformation, facilitated by the PLN Mobile application, on the operational efficiency of Customer Service Units (UP3) under PT PLN (Persero) Distribution Main Unit (UID) Central Java and the Special Region of Yogyakarta. The Digital Transformation Index (DTI) is constructed using the ratio of PLN Mobile users to total customers and the ratio of digital complaints to total complaints. The analysis covers 78 Decision Making Units (DMUs) over the period 2020–2025. Technical efficiency is measured using input-oriented Data Envelopment Analysis (DEA) under both Constant Returns to Scale (CRS) and Variable Returns to Scale (VRS) assumptions. A two-limit Tobit regression model is subsequently employed to examine the determinants of efficiency. The results indicate average efficiency scores of 0.755 (CRS) and 0.791 (VRS). The number of customers significantly reduces efficiency, while the Capacity Index shows a positive relationship at the 10% significance level. In contrast, the Digital Transformation Index (DTI) does not demonstrate statistical significance. The findings suggest that operational capacity and service load pressures play a more substantial role in explaining efficiency variations than the intensity of front-end digitalization.
Copyright (c) 2026 Singgih Budiaji, Lilik Sugiharti https://creativecommons.org/licenses/by/4.0
AI-Driven Human Resource Management and Its Impact on Employee Performance: The Mediating Role of Employee Trust in Artificial Intelligence
The rapid adoption of artificial intelligence (AI) in human resource management (HRM) has transformed organizational practices in performance management, recruitment, and workforce analytics. AI-driven HRM enables data-based decision-making, predictive performance evaluation, and automated talent management processes. However, the effectiveness of AI implementation depends on both technological capability and employee trust in artificial intelligence. This study aims to examine the effect of AI-Driven Human Resource Management on Employee Performance, with Employee Trust in Artificial Intelligence as a mediating variable. This study employs a quantitative explanatory survey design. Data were collected from employees in organizations implementing AI-based HR systems. The sample size was determined based on SEM requirements. Data analysis was conducted using SEM to test direct and indirect relationships among variables. The results indicate that AI-Driven HRM has a positive and significant effect on Employee Trust in Artificial Intelligence. Employee Trust in Artificial Intelligence significantly influences Employee Performance. AI-Driven HRM also has a direct positive effect on Employee Performance. Furthermore, Employee Trust in Artificial Intelligence partially mediates the relationship between AI-Driven HRM and Employee Performance. These findings suggest that the successful implementation of AI in HRM requires not only technological infrastructure but also the development of employee trust to enhance performance outcomes. This study contributes to the strategic human resource management literature by integrating AI capability and psychological trust mechanisms into a unified performance model. Practically, organizations are advised to ensure transparency, fairness, and ethical AI implementation to strengthen employee trust and maximize performance benefits.
Copyright (c) 2026 Nurdiana Mulyatini, Yusup Iskandar, Mulia Sosiady, Elvie Maria, Peni Cahyati https://creativecommons.org/licenses/by/4.0
The Factors Influencing Maritime Cyber Security Resiliency in Indonesia : The Mediating Role of Cyber Security Awareness
Digitalization in maritime operations has increased cyber risks to shipboard systems and navigational safety. This study examines the effects of procedure availability, IT system availability, and monitoring on MCS Resiliency, with MCS Awareness as a mediator and fear of cyber attack as a moderator. A quantitative survey was conducted with 400 Indonesian shipboard officers holding valid Certificates of Endorsement, and data were analyzed using SEM-PLS. The results show that procedures, IT system availability, and monitoring significantly influence both MCS Awareness and MCS Resiliency. MCS Awareness also has a significant positive effect on MCS Resiliency and mediates the relationships between the three antecedent variables and resilience. However, fear of cyber attack does not significantly moderate the relationship between MCS Awareness and MCS Resiliency. These findings highlight that maritime cyber resilience is primarily driven by structured governance, resilient technology, effective monitoring, and awareness-based competence rather than fear-based motivation. The study provides empirical support for a human-centered and system-oriented approach to strengthening maritime cybersecurity.
Copyright (c) 2026 Arizal Hendrawan, Idris Gautama, Denny Siahaan, Kurniawan https://creativecommons.org/licenses/by/4.0
Enhancing Lecturer Productivity Through Work-Life Balance and Organizational Commitment: The Moderating Role of Information Technology in Islamic Universities
Lecturer productivity is a strategic priority for Islamic Higher Education Institutions (IHEIs), which combine academic excellence with Islamic values and community service while often operating under constraints such as limited digital infrastructure, heavy administrative workloads, and dual religious–academic responsibilities. This study examines how organizational commitment and work-life balance influence lecturer productivity in six IHEIs in Jambi Province, with information technology (IT) tested as a moderating factor. Using a quantitative survey of 237 lecturers and analyzing the data with SEM-PLS, the results show that organizational commitment significantly improves lecturer productivity, whereas work-life balance has a positive but statistically insignificant effect. IT demonstrates a strong direct impact on productivity, but it does not moderate the effects of organizational commitment or work-life balance, suggesting that technology operates primarily as a general performance enabler rather than a conditional amplifier of these individual factors. These findings extend evidence on productivity determinants in the under-studied IHEI context and offer practical implications for policy and management, particularly the need to strengthen digital infrastructure, enhance organizational support systems, and align HR practices with the institutional realities of Islamic higher education.
Copyright (c) 2026 Ahmad Yani, Suharno Pawirosumarto, Muhammad Ridwan https://creativecommons.org/licenses/by/4.0
Building Digital Adaptation Chains in Higher Education: From Digital Learning Readiness to Retention through Resilience and Competency Development
Digitised higher education increasingly relies on platform-based teaching, assessment, and reporting systems, yet this shift can intensify academic workload and create retention risks when lecturers face persistent digital frictions. This study develops and tests a mechanism-based digital adaptation chain to explain how Digital Learning Readiness (DLR) becomes workforce-sustainable in digitised higher education. Using survey data from 248 lecturers in private nursing higher education institutions and analysing the model with PLS-SEM, the study estimates a serial mediation process linking readiness to lecturer retention intention through academic resilience and competency development. The results support the proposed mechanism: DLR strengthens academic resilience, resilience enables competency development, and competency development emerges as the most proximal driver of retention intention. Notably, readiness alone is insufficient to sustain retention when it is not converted into adaptive capacity and enacted competence, consistent with a “readiness is not enough” interpretation. By shifting readiness research from adoption preparedness toward sustainability mechanisms, the study contributes a process explanation of workforce stability in digital education. The findings offer actionable guidance for institutions and policymakers to sequence interventions—engineering readiness, scaffolding resilience, and institutionalising competency development—to ensure that digital transformation remains people-sustainable.
Copyright (c) 2026 Yolanda Oktarina, Suharno Pawirosumarto, Zefriyenni Zefriyenni https://creativecommons.org/licenses/by/4.0
The Stock Market as a Central Hub of Macroeconomic Dynamics: Multivariate VAR Evidence on the Relationship between the Current Account and Indonesia’s Composite Stock Index (1990–2024)
This study examines how the stock market transmits global financial shocks to Indonesia’s current account. Using a multivariate VAR model with quarterly data (1990–2024), the analysis includes domestic variables current account, inflation, and interest rates—alongside global indicators (DJIA and WTI). Empirical results show that the lagged Indonesia Composite Stock Price Index (IHSG) is statistically significant in the current account equation. Granger causality tests indicate unidirectional causality from IHSG to the current account without reverse feedback. Impulse response analysis reveals immediate but transitory adjustments following stock market shocks. Forecast Error Variance Decomposition results indicate that IHSG explains approximately 5.4% of the medium-term forecast error variance of the current account, exceeding the contribution of other domestic macroeconomic variables. These findings provide quantitative evidence that IHSG operates as a central transmission channel within Indonesia’s macro-financial system.
Copyright (c) 2026 Eka Desy Purnama https://creativecommons.org/licenses/by/4.0
Implementation of E-Government through UMKM Clustering in Improving Digitalization in Kutai Timur Regency
The Local Government has created a digital-based UMKM clustering with the aim of facilitating transactions for the community and business actors to enhance the regional economic turnover. This research uses a descriptive qualitative method. This research uses secondary data sources from various trusted sources, including official government documents, scientific journal articles, and case studies on the implementation of digitalization in the public sector. In addition, literature analysis also helps in identifying the challenges faced. The data collection techniques in this study are observation, interviews, and documentation. In this study, the data analysis technique uses the data analysis model according to Miles et al. (2019), which includes data collection, data condensation, data display, and conclusion drawing and verification. The purpose of this research is to assess the implementation of e-government through the UMKM website in East Kutai Regency in enhancing digitalization. This study also identifies the obstacles faced in the implementation of this website, as well as analyzes the role of the local government in the success of UMKM digitalization. The conclusion that can be drawn from this research is that the implementation of e-government is progressing well.
Copyright (c) 2026 Reza Laksana Putra, Dirk Malaga Kusuma, Munawaroh Munawaroh, Andi Nurhayati, Kayla Adinda Utomo https://creativecommons.org/licenses/by/4.0
Negotiating Power and Identity in Female Leadership within Patriarchal Organizational Cultures
This study aims to examine how women leaders negotiate power and build professional identities in patriarchal organizational cultures. In particular, this study highlights the interaction between gender expectations, leadership practices, and organizational structures that often marginalize women's authority in managerial contexts. This study uses an interpretive qualitative approach with semi-structured interviews with 12 women leaders at various managerial levels in male-dominated organizations in Indonesia. Thematic analysis was used to uncover patterns of identity negotiation, resistance strategies, and adaptive leadership practices in patriarchal environments. The results show that women leaders face ongoing challenges such as gender stereotypes, double standards of competence, and symbolic exclusion from decision-making. However, they apply adaptive strategies such as relational leadership, strategic network building, and reconstructing femininity as a source of leadership legitimacy. This research also confirms that identity negotiation is a dynamic process influenced by organizational culture, peer recognition, and self-reflection. Women's leadership in patriarchal organizations is characterized by continuous negotiation between conformity and resistance. Although institutional structures reinforce gender hierarchies, women leaders demonstrate agency through tactical adaptations that allow them to maintain authority while encouraging inclusive leadership practices. This study is limited to the qualitative scope and cultural context of Indonesia, so the findings may not fully represent cross-cultural variations in women's leadership experiences in other patriarchal contexts. This study contributes to the literature on human resource management and gender studies by offering a contextual understanding of women's leadership strategies in patriarchal systems. In addition, this research provides practical insights for organizations to design gender-sensitive HR policies, leadership development programs, and organizational cultures that are more inclusive and empower women.
Copyright (c) 2026 Suharti Suharti, Aliah Bagus Purwakania Hasan https://creativecommons.org/licenses/by/4.0
Women’s Agency in Community-Based Agriculture: A Systematic Review of Women Farmers’ Groups
This article examines women’s agency in community-based agriculture, focusing on Women Farmers’ Groups (Kelompok Wanita Tani). The study explores how agency is conceptualised, enabled, and constrained within these collectives, clearly distinguishing it from mere participation and outcome-based measures of empowerment. A Systematic Literature Review of 31 peer-reviewed articles published since 2010 was conducted using Scopus, Web of Science, and Google Scholar. By applying qualitative thematic synthesis, the findings reveal four interrelated themes. First, agency is a multidimensional and process-oriented construct that encompasses decision-making power, resource control, and autonomy, though it has varying levels of conceptual clarity. Second, collective action, participatory governance, and capacity-building act as highly context-dependent enabling mechanisms. Third, institutional support is critical but carries the risk of creating program-dependent empowerment through top-down interventions. Fourth, persistent structural constraints such as gender norms, unequal resource control, and time poverty continue to limit autonomy despite active participation. Ultimately, these organizations only foster transformative empowerment when conditions permit meaningful decision-making and control over agricultural practices. This review contributes by clarifying the conceptual boundaries between participation, empowerment outcomes, and women’s agency, providing a process-oriented understanding of how this agency is negotiated.
Copyright (c) 2026 Elin Herlina, Mustofa Kamil, Uyu Wahyudin, Yanti Shantini https://creativecommons.org/licenses/by/4.0
Result Culture & ROWE: The Key to High Performance
This study examines how result culture and Results-Only Work Environment (ROWE) influence high performance through technological support, transformational leadership, and work maturity. Using Structural Equation Modelling (SEM) with data collected from employees of PT STO Telkom Bekasi (N = 60), this study finds that technological support plays a dominant and significant role in improving high performance (β = 0.77, p < 0.05). While result culture significantly influences transformational leadership and employee work maturity, it does not directly enhance high performance. Similarly, ROWE significantly improves technological support, which in turn enhances high performance. These findings suggest that cultural and work-environment reforms alone are insufficient without strong digital infrastructure support. The study contributes to the performance management literature by identifying technological support as a critical enabling mechanism in results-based work systems.
Copyright (c) 2026 Bungaran Saing https://creativecommons.org/licenses/by/4.0
Managing Public Information Governance in Indonesia: A SMART Transparency Approach Based on Information Technology and Artificial Intelligence
Public information disclosure constitutes a fundamental prerequisite for democratic, transparent, and accountable governance. Although Law Number 14 of 2008 concerning Public Information Disclosure provides a strong legal foundation, existing transparency practices in Indonesia remain predominantly administrative and insufficiently integrated with organisational performance governance. Previous studies have largely focused on regulatory compliance and implementation mechanisms, while limited attention has been given to positioning transparency as a data-driven governance system supported by digital technology. Responding to this gap, this study examines the relevance and implementation strategies of SMART Transparency based on the principles of Specific, Measurable, Accessible, Relevant, and Timely as an integrative model of public information governance supported by information technology and artificial intelligence (AI). This research employs a qualitative literature review analysing regulatory frameworks, institutional reports, and national and international scholarly publications published between 2015 and 2025 using thematic analysis. The findings demonstrate that SMART Transparency enables the transformation of public information disclosure from procedural openness into performance-based governance through digital service integration, AI-assisted monitoring and dispute resolution, and strengthened public literacy and electoral oversight. Theoretically, this study contributes by reconceptualising transparency as a measurable governance framework integrating accountability, digital governance, and adaptive public management in the digital era.
Copyright (c) 2026 Abdul Ghofar, Afrizal Hendra, Tuty Sariwulan, Antoni Ludfi Arifin https://creativecommons.org/licenses/by/4.0
Intergenerational Dynamics of Work Attitudes and Performance in Hybrid AI Work
This study examines how generational cohorts differ in translating workplace transformation into performance outcomes in AI-enabled hybrid systems within AI-enabled and hybrid work systems. Using an extended Job Demands–Resources framework, this study analyzes key predictors of employee performance, we examine the effects of attitudes toward change, technological adaptability, job loyalty, and social interaction on employee performance and compare Millennials and Baby Boomers using Multi-Group Analysis (MGA). Data were collected through a cross-sectional survey and analyzed using PLS-SEM with multi-group analysis to assess measurement robustness and structural path differences across cohorts. The findings reveal that social interaction is the most powerful predictor of performance across generations, with a significantly stronger effect among Baby Boomers. Technological adaptability demonstrates a universally positive impact, yet its magnitude varies by cohort. In contrast, job loyalty shows a comparatively modest contribution to performance, suggesting a shift from traditional commitment paradigms toward more conditional forms of allegiance. MGA results confirm significant generational heterogeneity in key structural paths. This study offers a contextualized model of generational performance in AI-driven work environments, this study advances a contextualized model of generational performance, offering novel insights for global scholarship on multigenerational workforce management.
Copyright (c) 2026 Soraya Agustina Situmorang, Allan Desi Alexander, Hiram Reagen Panggabean https://creativecommons.org/licenses/by/4.0
AI-Powered Digital Marketing and Its Impact on Customer Engagement and Purchase Intention: The Mediating Role of Brand Trust in E-Commerce Platforms
The rapid advancement of artificial intelligence has significantly transformed digital marketing practices, particularly in e commerce platforms. AI powered digital marketing enables firms to analyze consumer behavior, personalize promotional messages, and improve the effectiveness of marketing communication strategies. In highly competitive online marketplaces such as Shopee, Tokopedia, and Blibli, companies increasingly utilize artificial intelligence to enhance customer interaction and influence purchasing decisions. However, the effectiveness of AI driven marketing strategies does not depend solely on technological capability but also on consumers’ trust in the brand. Without sufficient trust, consumers may hesitate to respond to algorithm based marketing recommendations. Therefore, understanding the role of brand trust in mediating the relationship between AI powered digital marketing and consumer purchase intention becomes increasingly important in digital commerce environments. This study aims to analyze the influence of AI Powered Digital Marketing on Customer Engagement and Purchase Intention with Brand Trust as a mediating variable in e commerce platforms. The research employs a quantitative explanatory design using a survey approach. Data were collected from 200 consumers who purchased herbal medicine products through e commerce platforms, consisting of 85 Shopee customers, 60 Tokopedia customers, and 55 Blibli customers. The data were analyzed using Structural Equation Modeling to test the direct and indirect relationships among the variables. AI-powered digital marketing significantly influences customer engagement and purchase intention, both directly and through brand trust on Customer Engagement. Customer Engagement significantly affects Purchase Intention, indicating that consumers who actively interact with digital marketing content are more likely to develop stronger purchasing intentions. The findings also reveal that AI Powered Digital Marketing directly influences Purchase Intention. Furthermore, Brand Trust significantly mediates the relationship between AI Powered Digital Marketing and Purchase Intention, demonstrating that trust plays an important role in strengthening the effectiveness of AI driven marketing strategies. This study contributes to digital marketing literature by integrating artificial intelligence capability, customer engagement, and brand trust into a comprehensive model explaining purchase intention in e commerce platforms. The findings suggest that companies should not only focus on technological sophistication but also prioritize transparency and trust building strategies to maximize the effectiveness of AI powered marketing.
Copyright (c) 2026 H.M.Noor Sembiring https://creativecommons.org/licenses/by/4.0
Digital Transformation in Improving Teacher Performance: A Quantitative Study of Digital Leadership, Digital Culture, and Innovation
This study aims to examine and demonstrate the impact of digital leadership, digital culture, and innovation on enhancing teacher performance, as well as the degree to which technology use and innovative teaching methods spearheaded by school administrators can enhance learning efficacy. The study involved 110 teachers from State Vocational High Schools in Jambi City of this study, using a quantitative ex post facto design. Data were collected using validated questionnaires to gather data. The evaluation stage of the measuring model and the structural model, as well as assessing direct and indirect influences, were used to analyze the data. The results indicate that digital leadership, digital culture, and innovation significantly influence teacher performance, lack adequate training, lack technology adoption, and less competent leaders, 2) Teachers who are in an environment with a strong digital culture tend to be more innovative in designing learning, 3) Teacher innovation creates new ideas in learning, teachers use creative learning models, and teachers utilize technology, 4) Lack of organizational readiness in adopting technology, poorly planned innovation, and lack of digital competence of leaders, 5) Teachers who are familiar with technology tend to find new ideas more easily, utilize online learning platforms.
Copyright (c) 2026 Wiwik Pudjaningsih, Nur Intan Rochmawati, Lisa Virdinarti Putra, Zuhri Saputra Hutabarat, Heni Pratiwi https://creativecommons.org/licenses/by/4.0
What Tourism SMEs Should Fix First to Recover Using Principal Component Analysis
Tourism SMEs in East Java have not recovered despite the sector’s high potential. Many struggle to identify which internal factors most influence performance, especially after the pandemic. This research aims to determine the most critical human resource and marketing variables that drive business performance and offer a practical recovery model. This quantitative exploratory research used principal component analysis to reduce and rank ten performance-related variables. The study targeted tourism SMEs in East Java, covering 11 regions with high tourism activity. Researchers selected 200 SMEs using purposive sampling, with three employees and one owner per business, resulting in 800 respondents. Data collection used a structured questionnaire and Likert scale to assess both importance and current performance of each variable. Fieldwork lasted four months. The analysis revealed that risk-taking culture, work security, compensation, employee participation, brand maintenance, risk tolerance, competitor orientation, strategic place, profitability, economic sustainability and customer satisfaction strongly influence business recovery. It also shows that SME performance improves when businesses focus on the highest-impact drivers rather than treating issues in isolation. This research offers a practical model for SME owners to prioritize internal improvements and guides policymakers to deliver more targeted support. The findings can also inform future research in other regions facing similar recovery challenges
Copyright (c) 2026 Adya Hermawati, Abimanyu Tuwuh Sembhodo, Aviv Yuniar, Syamsul Bahri, Teguh Setiawan Wibowo https://creativecommons.org/licenses/by/4.0