Ilomata International Journal of Management
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The Influence of Perceived Organizational Support on Employee Well-Being: The Mediating Roles of Work-Life Balance and Emotional Exhaustion among Correctional Officers
Full text linkCorrectional officers are required to work in an environment that is often characterized by high pressure and demanding situations, making psychological and emotional support in the workplace increasingly important. Recognizing this, this study aims to analyze the influence of perceived organizational support on employee well-being, focusing on the mediating role of work-life balance and emotional exhaustion. This study used a quantitative approach involving 314 correctional officers working in prisons, LPKAs, and detention centers under the authority of the DKI Jakarta Regional Office of the Ministry of Immigration and Corrections. Data was collected through the distribution of questionnaires, with the application of various analytical techniques, including feasibility tests, pilot tests, validity and reliability assessments, descriptive analysis, and measurement and structural model analysis. The results showed that perceived organizational support has a positive and significant effect on employee well-being, both directly and through the mediation of work-life balance and emotional exhaustion. Work-life balance proved to be a mediator that strengthens the relationship, where the higher the organizational support, the better work-life balance employees perceive. In contrast, emotional exhaustion acts as a negative mediator, where strong organizational support is able to reduce the level of emotional exhaustion, thus improving well-being. In conclusion, organizational support plays a crucial role in creating psychologically healthy working conditions, strengthening life balance, and reducing employees' emotional burden. The findings provide practical implications for human resource management in correctional settings to focus more on creating a supportive and well-being-oriented work climate for employees
Heritage Tourism in Sumenep: The Role of Need for Uniqueness as a Moderating and Satisfaction as a Mediating Variable
Full text linkThe heritage tourism sector is one of the crucial sectors in economic development in Sumenep Regency. This study investigates the role of need for uniqueness as a moderating variable and satisfaction as a mediating variable in the relationship between touris attraction and revisit intention. The object in this study is focused on heritage tourism in Sumenep such as the sumenep palace, asta tinggi, and jamik mosque sumenep. Purposive sampling was used to choose 230 respondents as the study's sample. The techniques for collecting data were carried out by distributing questionnaires. The Partial Least Squares (PLS)-SEM) program was used to analyze the data. In this study it was found that direct tourist attractions had a positive and significant effect on visitor satisfaction and also revisit intention. Satisfaction has a positive and significant effect on revisit intention. Satisfaction mediates the effect of tourist attraction on revisit intention with the partial mediation category. However, need for uniqueness does not moderate the influence of tourist attractiveness on revisit intention. Therefore, the main findings of this study are expected to enhance the perspectives of tourism managers and support the development of heritage tourism in Sumenep. Furthermore, this study contributes to heritage tourism research by integrating psychological uniqueness and satisfaction into a moderated–mediated framework. The result of this study is also expected to contribute to academics in the management discipline, specifically regarding the context of tourism management
Social Media Influencer Attributes’ Impact on Generation Z Filipino Consumers’ Perceived Parasocial Relationships and Purchasing Behavior
Full text linkThis study investigates the role of social media influencers (SMIs) in shaping the purchasing behavior of Filipino Generation Z consumers, with particular emphasis on how influencer attributes foster parasocial relationships (PSRs) that drive online shopping. A quantitative-descriptive research design was employed using survey data collected from 380 Generation Z respondents in San Fernando, La Union. The data were analyzed using descriptive statistics, the Mann-Whitney U test, and Spearman’s rho correlation. The results revealed that nano-influencers (with 0–10,000 followers) are the most effective in establishing trust and emotional connections with their audiences. Influencer attributes, including authenticity, content style, perceived fit, and popularity, were identified as key drivers of engagement. Gender differences were observed in the strength of PSRs, with higher levels reported among female respondents, although no significant differences were found in purchasing behavior. The study concludes that relatable and emotionally resonant influencers play a central role in influencing Generation Z’s online purchasing decisions. It recommends that brands prioritize collaborations with credible nano-influencers to enhance consumer trust and loyalty. By situating these findings within the Philippine context, the research contributes to the literature on influencer marketing and offers practical implications for post-pandemic digital strategies
Financial-Based Digital Technology Transformation Adapter to Increase the Sustainability of Agribusiness Farmers Sustainable Manner in Indonesia
Full text linkThe importance of financial-based digital technology system transformation in the Agribusiness system to improve the welfare of farmers and entrepreneurs. It is hoped that this digital technology system can be more advanced and sustainable, especially with the Agrofarmers logo, and needs to be implemented sustainably to empower the use of digital technology. The method used in this research is a symmetric descriptive qualitative method with a digital financial information technology system approach that is relevant for farmers and agribusiness entrepreneurs in Indonesia. The contribution of this research is to increase the knowledge and skills of farmers in managing agribusiness by using relevant information technology facilities in their daily business transactions efficiently and effectively. This research is limited to discussing financial-based digital technology transformation to increase the productivity of superior agribusiness farmers in West Java Province in Indonesia in a sustainable manner. The benefits of research for farmers in particular are expected to increase their capacity to use digital technology tools. Financially based and well networked, efficient, effective, good, and correct, so that in the future it is hoped that the productivity of their agricultural products and agribusiness results can increase optimally, maximally, and sustainably. The expected results are that farmers, in particular, and agribusiness entrepreneurs can understand technological transformation
Implementation of Artificial Intelligence in Fraud Detection and Prevention Through a Systematic Literature Review and Its Implications for the Financial Sector
Full text linkThe increasing complexity of financial fraud in the Digital Era requires more advanced and adaptive detection methods. This study examines the implementation of Artificial Intelligence (AI) in fraud detection and prevention through a Systematic Literature Review (SLR), addressing a critical issue in financial technology that remains highly relevant to both academic and professional communities. Although AI-based fraud detection has been widely studied, this research provides a distinct contribution by integrating technical effectiveness with regulatory alignment. The SLR systematically analyzes studies from major academic databases such as Scopus, Web of Science, IEEE Xplore, ScienceDirect, and Google Scholar to identify key trends, challenges, and implications for the financial sector. The PRISMA framework is used to screen and evaluate relevant literature, ensuring a comprehensive and structured analysis. VOSviewer is applied to visualize key research trends and topic relationships in AI-based fraud detection. The findings indicate that machine learning and deep learning techniques significantly enhance fraud detection accuracy, surpassing traditional rule-based approaches. Natural Language Processing (NLP) has shown effectiveness in analyzing fraud-related documents, while big data analytics facilitates real-time fraud monitoring. However, challenges persist, including data imbalance, regulatory compliance, and data privacy concerns, which must be addressed for successful AI implementation. This study concludes that an integrated AI framework that combines technological advancements with strong regulatory alignment is crucial for effective fraud detection. Future research should explore empirical case studies and real-world applications to validate these theoretical findings
Competence and Career Development Effects on Service Performance: Motivation Mediation in a Ditlantas BPKB Case Study
Full text linkThis study tests whether officers’ competence and career development improve service performance in the Vehicle Ownership Document (BPKB) unit of the South Kalimantan Regional Police and whether work motivation transmits these effects. Motivated by a documented paradox of high satisfaction scores alongside persistent queueing and responsiveness complaints, we specified a mediation model integrating Human Capital and Public Service Motivation perspectives. A cross-sectional census of 40 frontline officers was analyzed with PLS-SEM. The findings show that higher competence and clearer career development are associated with stronger motivation and better service performance, and that motivation mediates both relationships. The contribution lies in a policing-specific explanation of how capability and career signals translate into outcomes through motivation in a high-functioning yet complaint-prone service. Practical actions include targeted upskilling, mentoring, transparent promotion criteria, and routine feedback and recognition to sustain motivation, improve responsiveness, and shorten queues, thereby aligning resources with demand and strengthening public trust
Leadership Style as a Mediator Between Employee Competence and Performance in Islamic Banking: A Case Study of BSI Area Banjarmasin
Full text linkThis study examines the effect of employee competence on performance and tests whether leadership style mediates this relationship in Bank Syariah Indonesia (BSI) Area Banjarmasin. Competence is positioned as a core dimension of human resource development that enhances work effectiveness, while leadership style shapes the extent to which competence is translated into employee performance. A quantitative survey was conducted with 60 employees purposively selected from six BSI sub-branch offices. Data were analyzed using partial least squares structural equation modeling (PLS-SEM) in SmartPLS. The results show that (1) competence has a positive effect on leadership style; (2) leadership style positively affects employee performance; (3) competence directly improves employee performance; and (4) leadership style significantly mediates the competence–performance relationship. The structural model explains 76.9% (R² = 0.769) of the variance in employee performance, demonstrating a robust model with strong predictive power for employee outcomes in Islamic banking. This study contributes to Islamic banking and organizational behavior literature by clarifying how contextually grounded leadership style mediates the competence–performance link in a Sharia-compliant banking environment
Boredom, Cyberloafing, Fairness, and Generation Y (Millennial) Performance in Indonesia’s Logistics Sector: The Mediating Role of Organizational Commitment
Full text linkIntroduction: This study examines whether job boredom, cyberloafing, and perceived organizational justice are associated with in-role performance among Generation Y (Millennial) employees in Indonesia’s logistics sector and whether organizational commitment mediates these relationships. Novelty: Prior Indonesian logistics studies have largely focused on younger cohorts and have rarely tested boredom, cyberloafing, and fairness simultaneously. This study tests the commitment-based mediation mechanism in a large multi-firm sample and evaluates competing interpretations of cyberloafing (withdrawal vs. short recovery).
Methods: A cross-sectional survey was administered at the end of 2024 to non-managerial Generation Y employees (born 1981–1996) in eight logistics companies in Jakarta (n = 623). Measures used 5-point scales. Structural equation modeling (AMOS 23) was used to test direct and indirect effects. Results: Job boredom was negatively associated with organizational commitment and performance. Perceived organizational justice was positively associated with organizational commitment and showed a positive indirect association with performance through commitment. Cyberloafing (measured as frequency of non-work online activity at work) was not significantly associated with commitment or performance in the tested model. Organizational commitment was positively associated with performance and mediated the boredom–performance and justice–performance relationships. Conclusion: The results suggest that, in this setting, commitment is a more reliable pathway linking workplace experience to performance than cyberloafing. Practical implications should be interpreted cautiously given the cross-sectional and self-reported design
The Effect of PDDIKTI System Acceptance, Social Influence and Technology on Performance Expectations at Jember State Polytechnic Through Educational Background as an Intervening Variable
Full text linkThis study aims to analyze the influence of PDDIKTI system acceptance, social influence, and technology quality on the performance expectations of academic operators at the Jember State Polytechnic. This research is a type of comparative causal research. The data used in this study are primary data. The population in this study is the operator of the Jember State Polytechnic PDDikti management of 100. The sample was determined to be 100 respondents. The analysis model used in this study is Structural Equation Modeling (SEM) analysis with the help of WarpPLS software. The results of the study show that the acceptance of the PDDikti system, social influence, and technology have a positive and significant effect on the performance expectations of academic operators. The study offers practical value for higher education institutions looking to improve system performance expectations through training and social support. However, a clearer articulation of how these recommendations translate into measurable policies would increase social relevance
Purchase Intention Analysis in Augmented Reality Marketing: SOR Implementation Framework
Full text linkThe rapid competition in the developing industry makes it increasingly important for business actors and marketers to pay attention to several important factors that can determine consumer purchasing decisions, namely based on the SOR framework. The researcher intend to expand literature by extending the S-O-R framework to the context of AR-based marketing in the telecommunications sector, by introducing a novel conceptual model connecting augmentation, product informativeness, and personalized recommendations to purchase intention via choice beliefs and perceived usefulness. The research approach used is quantitative research, by distributing questionnaires to 308 telecommunications service users in Batam City. The findings reveal that augmentation and product informativeness have a significant effect on choice trust. Product informativeness also have a significant direct effect on purchase intentions, although personalized recommendations cannot prove a significant relationship with purchase intentions. Regarding its mediation effect, researchers proved that choice trust is able to mediate the relationship between augmentation and product informativeness with purchase intentions. Perceived usefulness is able to mediate the relationship between product informativeness and purchase intentions, personalized recommendations do not significantly influence purchase intentions. It is important for telecommunication service companies to boost purchase intentions by building trust in choice, benefits felt by customers by maximizing the usefulness of augmentation-related features, product informativeness, and ability to provide effective recommendations for customers. Future researchers can make efforts to implement further research related to augmented reality marketing factors in their influence on purchase intentions, with different variable or research object