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The purpose of this study is to determine the effect of organizational culture, job satisfaction, and organizational commitment on Organizational Citizenship Behavior of the management in Rumah Amal Salman. Data were obtained through a quantitative survei of 32 administrators of Rumah Amal Salman. Data analysis was conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test the relationship between independent and dependent variables. The results of this study illustrate that organizational culture and organizational commitment have a significant effect on Organizational Citizenship Behavior. However, job satisfaction does not significantly affect Organizational Citizenship Behavior. The implications of the study emphasize the need for management to improve sistem evaluation, career development, and internal communication to ensure sustainable job satisfaction, while maintaining a collaborative culture and organizational commitment to encourage OCB behavior that supports performance sustainability in Islamic philanthropy.

Fenomena in-game purchase dalam game daring ponsel seperti Mobile Legends: Bang Bang mengalami peningkatan signifikan seiring berkembangnya teknologi digital dan budaya bermain game di kalangan generasi muda. Penelitian ini bertujuan untuk menganalisis pengaruh kualitas grafis, gameplay, dan interaksi sosial terhadap keputusan pengguna dalam melakukan pembelian item digital. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei, di mana data dikumpulkan melalui kuesioner yang disebarkan kepada 120 responden yang telah memenuhi kriteria purposive sampling, yaitu pemain aktif Mobile Legends yang pernah melakukan pembelian dalam game. Teknik analisis data yang digunakan adalah Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan bantuan perangkat lunak SmartPLS. Hasil penelitian menunjukkan bahwa kualitas grafis dan gameplay memiliki pengaruh positif dan signifikan terhadap keputusan pembelian pengguna, sedangkan interaksi sosial tidak menunjukkan pengaruh yang signifikan. Temuan ini menegaskan pentingnya aspek visual dan mekanisme permainan dalam membentuk nilai pengalaman pengguna yang mendorong perilaku konsumtif digital. Secara teoritis, penelitian ini memberikan kontribusi pada pengembangan model perilaku pengguna dalam konteks konsumsi digital berbasis pengalaman. Sementara itu, secara praktis, hasil penelitian ini dapat menjadi acuan bagi pengembang game dalam mengoptimalkan strategi desain dan monetisasi melalui penguatan aspek grafis dan gameplay yang lebih menarik dan kompetitif.

This study aims to analyze the effect of service quality , brand image , and trust on the loyalty of BPJS Ketenagakerjaan participants in the Non-Wage Recipient (BPU) segment at the Situbondo Branch, with satisfaction as a mediating variable. The research method uses a quantitative approach with purposive sampling techniques and data collection through questionnaires distributed to 110 respondents who have been active participants for more than six months. Data analysis was carried out using the Structural Equation Modeling Partial Least Square (SEM-PLS) method. The results of the study indicate that service quality and trust have a significant effect on satisfaction, while brand image does not have a significant effect. Meanwhile, trust and satisfaction have a significant effect on loyalty, while service quality and brand image do not. Satisfaction is also proven to mediate the effect of trust on loyalty, but does not significantly mediate other variables. This finding implies that increasing participant trust and satisfaction is the main key in building BPU participant loyalty at BPJS Ketenagakerjaan Situbondo.

The purpose of this research are to determine the influence of creativity, entrepreneurial attitude, perceived behavioral control, and subjective norms on the entrepreneurial intention of students at Sebelas Maret University, Surakarta This research is quantitative research with descriptive analysis. The sample in this study consisted of 381 active students at Sebelas Maret University, Surakarta who were currently taking or had previously taken entrepreneurship courses. Data collection was conducted using a questionnaire distributed via Google Forms. Data analysis used Structural Equation Modeling (SEM). The results of this study indicate that creativity, entrepreneurial attitude, perceived behavioral control, and subjective norms have a positive and significant effect on entrepreneurial intentions of active students of Sebelas Maret University, Surakarta. The conclusion of this study proves that the Theory of Planned Behavior has a relationship with the level of entrepreneurial intentions of students. The transformation of the Indonesian economy can be attempted by increasing the number of entrepreneurs through improving the quality of entrepreneurship education in universities.

This study analyzes the influence of financial literacy on the intention to use Shopee PayLater, with risk perception and trust as mediating variables among Generation Z in Denpasar City. Using a quantitative method with a Structural Equation Modeling-Partial Least Squares (SEM-PLS) approach, data were collected from 200 respondents through purposive sampling. The results indicate that financial literacy has a positive effect on the intention to use Shopee PayLater, while risk perception has a negative effect. Trust in the platform plays a crucial role in increasing usage intention. Additionally, risk perception and trust are proven to mediate the relationship between financial literacy and the intention to use Shopee PayLater. These findings highlight that improving financial literacy, strengthening trust, and reducing risk perception can encourage the adoption of digital payment services among Generation Z.

The development of the digital-based travel industry is growing rapidly in Indonesia, including in the city of Medan. Traveloka is one of the most widely used platforms for booking tickets and accommodations. However, despite its large user base, there are still complaints about the user experience of the traveloka application which will have an impact on user satisfaction. This study aims to analyze user experience and perceived value on repurchase intention through e-satisfaction for application users in Medan city. The type of research conducted is associative research. The population for this study consists of residents of Medan city who use the Traveloka application, with a sample size of 125 respondents. The sampling technique used is non-probability sampling with a purposive sampling method. The data analysis technique employed in this study is structural equation modeling (SEM) using the Smart PLS version 4.0 analysis tool. Research results User experience has a positive but insignificant effect on repurchase intention. Perceived value has a positive and significant effect on repurchase intention. User experience has a positive and significant effect on e-satisfaction. Perceived value has a positive and significant effect on e-satisfaction on the Medan city traveloka application. E- satisfaction has a positive and significant effect on repurchase intention. User experience has a positive and significant effect on repurchase intention through e-satisfaction. Perceived value has a positive and significant effect on repurchase intention through e-satisfaction.

The development of artificial intelligence (AI) has significantly changed the digital advertising landscape. However, consumer trust in the use of AI in digital advertising is a crucial issue to understand. This study aims to analyze the influence of perceived intelligence, transparency, and personalization of AI-based advertising on consumer trust levels. Using a quantitative approach through a survey of 500 respondents who are active social media users in Indonesia, the data were analyzed using Structural Equation Modeling (SEM). The results of the study indicate that perceived intelligence and transparency have a significant positive influence on consumer trust, while personalization has a moderate influence. These findings provide theoretical contributions to the digital marketing literature and provide practical guidance for marketers in designing AI-based advertising strategies that are trusted by consumers.

This study aims to analyze the influence of Islamic Work Ethics and Work Environment on the Performance of Generation Z Employees Through Work Motivation as a Mediating Variable. The method used in this study is a quantitative approach with data collection techniques through questionnaires. The sample in this study consisted of 149 respondents who were Generation Z employees who were Muslim. Data analysis was carried out using Structural Equation Modeling (SEM) with the help of SmartPLS 3 software. Hasil penelitian menunjukkan bahwa Etika Kerja Islam dan Lingkungan Kerja mempunyai pengaruh positif dan signifikan terhadap kinerja karyawan. Islamic Work Ethics has a positive and significant influence on Work Motivation, but the work environment does not have an influence on Work Motivation. Work Motivation has a positive and significant influence on Employee Performance, but Work Motivation is not proven to be a mediating variable between Islamic Work Ethics and Work Environment on Employee Performance.

This study focuses on examining the impact of halal certification, product quality, and marketing strategy on the sales of Home Industry food products. A descriptive quantitative approach was adopted to analyze the relationship between variables. Data were collected through questionnaires distributed to 170 respondents who were food product business actors Home Industry in Sariwangi District, Tasikmalaya Regency, West Java Province. The collected data were analyzed using the Structural Equation Modeling method with a Partial Least Squares (PLS-SEM) approach. The results show that both halal certification and marketing strategy have a significant positive effect on sales of Home Industry food products. Meanwhile, product quality does not show a significant effect on sales. The study also indicates that halal certification has the strongest influence on sales compared to the other variables.

This research examines how conceptual comprehension, mathematical reasoning, and problem solving affect computational thinking. 122 students from class XI SMA Negeri 1 Pematang Siantar were given essay assessments on conceptual comprehension, mathematical reasoning, problem solving, and computational thinking. AMOS version 21 was used to analyze the test using Structural Equation Modeling (SEM). This study found that conceptual understanding, mathematical reasoning, and problem solving have a positive and significant effect on computational thinking ability with a contribution of 0.528. This means that 52.8% and 47.2% of computational thinking abilities are built by these three abilities, depending on other variables.

Micro, Small and Medium Enterprises (MSMEs) are the backbone of the Indonesian economy, but only 15.7% have successfully penetrated the global market due to limited human resources (HR) and cross-sector collaboration (BPS, 2023). This study aims to analyse the role of collaborative HR initiatives in opening global market access for MSMEs in East Java, using a quantitative approach with AMOS-based Structural Equation Modeling (SEM) on a sample of 150 MSMEs. The results of the analysis show that HR collaboration across sectors (government, private sector, academia) has a significant effect on improving global market access , while self-training is not significant. The findings strengthen the Resource-Based View theory by emphasising collaborative HR as a strategic asset of MSMEs. Practical implications include integrated policy recommendations and partnerships with global platforms (e.g., Amazon, Alibaba), as well as ethical considerations related to programme inclusivity and MSME data protection. This research makes a theoretical contribution to the development of an adaptive HR collaboration model for MSMEs in developing countries.

This study examines the influence of e-commerce platforms on the growth of MSMEs in the post-pandemic era, focusing on the implementation of entrepreneurial marketing strategies in the digital ecosystem. This research aims to understand how e-commerce platforms help MSMEs in developing more adaptive and effective marketing strategies amid changes in consumer behavior post-pandemic. The method used is a quantitative approach with Structural Equation Modeling (SEM) to analyze the direct and indirect relationship between the use of e-commerce platforms, entrepreneurial marketing strategies, and the growth of MSMEs. The main findings show that the use of e-commerce platforms has a significant effect on entrepreneurial marketing strategies, which in turn encourages the growth of MSMEs. This research contributes to the literature on MSME digitalization, particularly in the context of post-pandemic recovery, and shows how e-commerce platforms can be an important enabler for MSMEs to survive and thrive amid changing market challenges. The urgency of this research lies in its contribution in providing insights into the implementation of innovative digital marketing strategies, which is highly relevant for MSMEs trying to adapt to the post-pandemic business landscape. Keywords: ,

The development of artificial intelligence (AI) in learning media presents challenges related to the uneven readiness of human resources and infrastructure, thus affecting the effectiveness of its implementation. This study aims to examine the effect of AI implementation in learning media development on learning outcomes of students of Faculty of Economics, University of Balikpapan. The method used is quantitative with survey design and Structural Equation Modeling (SEM) analysis using AMOS. The sample consists of 113 students selected by simple random sampling from the population of 376 active students. The results of the analysis showed that the readiness of lecturers and the quality of AI-based learning media had a significant effect on improving student learning outcomes. However, the success of AI implementation is also strongly influenced by infrastructure support and educator training. The findings provide important implications for learning media developers and policy makers to strengthen lecturers' capacity and improve technology infrastructure to support inclusive and sustainable digital transformation of education. In addition, ethical aspects and data privacy should be the main concerns in the development of AI-based learning media.

With an emphasis on work engagement as a mediating variable, this study intends to investigate the effects of career development and work-life balance on job satisfaction among nurses in Kubu Raya, West Kalimantan. Using a quantitative methodology, structured questionnaires were used to gather data from 223 nurses, and SmartPLS software assisted in the analysis of the data using Structural Equation Modeling (SEM). Purposive sampling was used in the study, and one of the selection factors was the length of employment. The results show that work-life balance also has a positive and significant impact on work engagement, and career growth has a positive and large impact on work engagement. Furthermore, work-life balance and career advancement both directly, favorably, and significantly impact job satisfaction. Job satisfaction has been demonstrated to be favorably and significantly influenced by work engagement, which acts as a meaningful mediator. Furthermore, through work engagement, career development and work-life balance both have a positive and statistically significant mediation effect on job satisfaction.

This study investigates the effect of role stress and job resources on emotional exhaustion, with work-family conflict as a mediating variable among higher education personnel. Employing a quantitative research design with a causality analysis approach, data were collected through a structured questionnaire using a five-point Likert scale. The sample consisted of 200 educational staff at XYZ institution in Bogor Regency, including civil servants, permanent employees, and contract workers. Data analysis was conducted using the Structural Equation Modeling-Partial Least Squares (SEM-PLS) technique with SmartPLS 3 software. The findings revealed that role stress has a positive and significant impact on emotional exhaustion, indicating that increased stress from role demands contributes to higher levels of emotional fatigue. Conversely, job resources were found to have no significant direct effect on emotional exhaustion. Furthermore, work-family conflict significantly mediated the relationship between role stress and emotional exhaustion, suggesting that stress from conflicting work and family demands intensifies emotional exhaustion. However, work-family conflict did not mediate the relationship between job resources and emotional exhaustion. These results emphasize the critical need for effective stress management strategies and support systems that can help reduce work-family conflict to maintain the emotional well-being of education personnel. This study contributes to understanding the psychological dynamics in the workplace and provides insight into improving employee resilience and productivity in educational institutions.

This study analyzes the influence of Augmented Reality (AR) technology on consumer purchase intention with customer engagement as an intervening variable at Sephora Indonesia. This quantitative research involved 150 respondents who are users of Sephora Virtual Artist, analyzed using Structural Equation Modeling (SEM). The research instrument measures three main variables: Augmented Reality (interactivity, vividness, novelty), Customer Engagement (cognitive, emotional, behavioral), and Purchase Intention (intention, willingness, likelihood to purchase) using a five-point Likert scale. The research results show that AR has a positive and significant effect on customer engagement and purchase intention. Customer engagement also has a positive effect on purchase intention and is proven to mediate the relationship between AR and purchase intention. This study contributes to the AR literature in beauty e-commerce and recommends that Sephora optimize AR features, develop comprehensive customer engagement strategies, and continue investing in AR technology as a competitive advantage.

The rapid development of artificial intelligence (AI) presents new challenges and opportunities in the practice of financial auditing, especially regarding the efficiency and accuracy of audit results, which are still the main problems. This study aims to examine the impact of financial audit transformation through the application of AI using a mixed methods approach. Quantitative data were collected from 100-150 internal and external auditors in medium to large companies in East Java Province who have been using AI for at least one year, and analysed using Structural Equation Modeling (SEM) with AMOS. Qualitative data was obtained through in-depth interviews to explore perceptions and challenges of AI implementation. The results showed that AI significantly improved the efficiency of the audit process and the accuracy of risk and fraud detection, despite barriers such as change resistance and limited auditor competence. This research makes important contributions to the development of modern audit theory and offers strategic recommendations for practitioners and regulators to optimise AI integration in financial auditing. Practical implications include the need for auditor training and strengthening technology infrastructure to support sustainable digital transformation. 

The development of digital technology has encouraged organisations to adopt big data analytics in human resource management (HRM), but there are still challenges in leveraging it for effective decision-making. This study aims to investigate the effect of big data utilisation on the quality of HR decision-making and identify the supporting and inhibiting factors for its implementation. A quantitative method with purposive sampling survey was conducted on 100-150 respondents from companies that have implemented big data-based management information systems and HR analytics. Data were analysed using Structural Equation Modeling (SEM) with AMOS software. The results showed that big data analytics significantly improved the quality of HR decision-making, with HR digital competencies and organisational culture as important mediating factors. However, challenges related to cultural resistance and limited expertise were found to affect the effectiveness of implementation. The practical implications of this research emphasise the importance of HR digital capacity building and ethical data governance to support the transformation of HRM into an adaptive strategic function in the digital era. This research also contributes to the development of data-driven management theory with a holistic approach that integrates technical, human, and ethical aspects.

In the digital era, the ability to utilize social networks and digital platforms to gain financial education and make financial decisions in accordance with sharia principles is increasingly essential. This study aims to analyze the influence of social capital and digital literacy on Islamic financial literacy among Generation Z. A quantitative approach was employed, with primary data collected from 209 respondents through purposive sampling, consisting of Generation Z individuals residing in Yogyakarta. Data analysis was conducted using path analysis with the Structural Equation Modeling approach based on Partial Least Squares (SEM-PLS), utilizing the SmartPLS 3.0 software. Construct reliability testing, discriminant validity, and hypothesis testing were carried out to evaluate the relationships between variables. The results indicate that social capital and digital literacy have a positive and significant effect on Islamic financial literacy. Digital literacy enhances individuals’ access to Islamic financial information through digital media, while social capital strengthens knowledge sharing and trust within communities. These findings highlight the importance of leveraging digital technology and reinforcing community-based approaches to improve Islamic financial literacy. This study contributes to the growing body of literature on the interaction between social capital, digital literacy, and Islamic financial literacy in the digital age and offers strategic insights for educational institutions and financial service providers to promote sharia-based financial literacy.

The beauty industry is experiencing significant growth due to digital transformation, particularly through the use of brand ambassadors and social media marketing. This study investigates the impact of brand ambassadors and social media marketing on purchase intention, with brand image as the mediating variable. This research focuses on Azarine, the skincare from Indonesia and targets potential consumers in Riau Islands aged 18-44 who follow the Instagram account @azarinecosmeticofficial and recognize Prilly Latuconsina, Syifa Hadju, Angga Yunanda, and Lee Min Ho as brand ambassadors. A quantitative approach was applied using Structural Equation Modeling (SEM) with SmartPLS software. The research shows that brand ambassadors and social media marketing positively and significantly influence purchase intentions, with a higher direct impact compared to an indirect one through brand image. This study highlights the effectiveness of digital brand strategies in shaping consumer decisions and offers insights for marketing professionals in the beauty sector. These results emphasize the strategic role of celebrity endorsements and content-based engagement in influencing consumer perceptions and purchasing behavior.