Abstract:This study examines the effect of work motivation and soft skill training on employee performance with competence as a mediating variable. The research was conducted at the Office of Women’s Empowerment, Child Protection,…
on, Population Control, and Family Planning (DP3AKB) of Banten Province. A quantitative approach with a census method was applied, involving all 134 employees as respondents. Data were collected using a structured questionnaire and analyzed using Structural Equation Modeling with Partial Least Squares (SEM-PLS). The results indicate that work motivation and soft skill training have positive and significant effects on employee performance. Furthermore, both variables significantly influence employee competence. Competence also has a positive and significant effect on employee performance and partially mediates the relationship between work motivation and performance as well as between soft skill training and performance. These findings suggest that improving employee performance in public sector organizations requires integrated human resource development strategies focusing on motivation enhancement, effective soft skill training, and systematic competency development.
Abstract:This study aims to analyze the application of green accounting in hazardous waste management and its role in mitigating ecological risks in the biopharma industry, with a case study at PT Daewoong Infion. The background…
of the study is driven by the increasing risk of environmental and health pollution due to hazardous waste generated by the biopharmaceutical production process, as well as the limitations of conventional accounting systems in capturing ecological costs and impacts. This study uses a qualitative approach with a case study design, through primary data collection in the form of in-depth interviews with key informants and field observations, as well as secondary data from company documents and related regulations. Data analysis was conducted descriptively and interpretively to identify green accounting practices, environmental cost components, and ecological risk mitigation mechanisms. The results show that PT Daewoong Infion has implemented green accounting through the recognition and recording of hazardous waste management costs, pollution control, and environmental disclosure, which contributes to increased regulatory compliance, waste management efficiency, and ecological risk reduction. In addition, these practices strengthen the company's legitimacy and meet stakeholder expectations, in line with legitimacy theory and stakeholder theory. This study concludes that green accounting serves as an effective managerial and reporting instrument in integrating economic objectives and ecological responsibility, thereby supporting the operational sustainability of the biopharma industry. These findings recommend strengthening environmental cost measurement systems and reporting transparency to enhance sustainable ecological risk mitigation.
Abstract:The focus of research shifts from the dominance of positivism to a non-positivistic approach that places meaning, interpretation, and social construction at the center of analysis. One of the main approaches within this…
paradigm is Grounded Theory Research (GTR), a qualitative method developed by Glaser and Strauss (1967) to build empirically data-based theory through a rigorous inductive process. In the accounting context, GTR becomes increasingly relevant because reporting practices, accountability, and financial decision-making cannot be understood solely through objective measurements, but rather through social interactions, organizational values, and the interpretations of the actors involved (Ahrens & Chapman, 2006). This article aims to examine the role and relevance of GTR in modern accounting research by highlighting its philosophical foundations, methodological procedures, and contributions to the development of practice-based accounting theory. Through a systematic literature review, it is found that GTR has the ability to uncover the social dynamics that shape accounting practices such as accountability, ethics, managerial control, and institutional legitimacy that have previously been overlooked by positivistic approaches (Charmaz, 2006; Bryant & Charmaz, 2007). GTR has also proven relevant in the context of changing reporting systems, accounting digitalization, and the integration of sustainability principles such as ESG, where meaning, professional identity, and interpretive processes are dominant elements (Adams & Larrinaga, 2019). The study's findings confirm that GTR not only offers a systematic method for data collection and analysis, but also provides a more reflective, context-sensitive epistemological framework capable of generating substantive theory that is truly rooted in organizational reality. Thus, GTR is a powerful methodological alternative in enriching accounting knowledge, while providing a deeper understanding of how accounting practices are executed, negotiated, and interpreted in everyday organizational life.
Abstract:This study aims to analyze human resource policies to improve the quality of employee performance at the Population Control, Women's Empowerment, and Child Protection Service of Gunungsitoli City. The research focuses on…
three main objectives: (1) to determine the form of human resource policies implemented to improve performance quality, (2) to identify supporting and inhibiting factors in the implementation of these policies, and (3) to formulate appropriate strategies to improve employee performance. The research method used is a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation. The results show that the implemented human resource policies include training and competency development, performance assessment based on work indicators, and a reward system and work discipline. Supporting factors for the implementation of these policies include leadership support, active employee participation, and the availability of a training budget. However, there are also inhibiting factors such as a lack of professional human resources, limited supporting facilities and infrastructure, and low work motivation among some employees. The strategies implemented to improve performance quality include strengthening supervision, developing a collaborative work culture, improving the quality of training, and regular evaluation of policy implementation. This study concludes that appropriate and consistent human resource policies play a crucial role in building more optimal employee performance within the service environment.
Abstract:In an uncertain economic climate, a large global retailer used AI-powered spend intelligence to move $220 million from indirect operational costs toward high-impact R&D. In a difficult recession, this decisive step boosted…
ed revenue by 11%, demonstrating the transformative impact of effective capital management. This achievement contrasts with "spend blindness," where industry studies show most financial leaders struggle to link expenditure patterns to strategic growth outcomes and resort to reactive cost-cutting. This study addresses this crucial gap. A thorough mixed-methods approach including a global survey of 400 CFOs, longitudinal case studies of ten multinational organizations, and advanced predictive modeling substantiated a new paradigm. Research shows that companies that understand AI-driven spend orchestration develop 7.3% faster than competitors. This premium comes from a 37% improvement in the Growth Efficiency Ratio (GER), a critical statistic for translating savings into innovation, and 5.8 times more strategic investment opportunities than standard financial approaches allow. The Spend Intelligence Quotient (SIQ), a groundbreaking statistic that assesses financial agility through integrated spend monitoring, predictive analytics, and rapid capital reallocation, is key to this advantage. This paper introduces the empirically based Spend Orchestration Framework and the requirements for the 2025 AI Finance Stack to obtain SIQ >80, the empirically proven threshold for sustainable competitive advantage. The message is clear: finance chiefs must go beyond oversight. Today's CFO may use predictive contracting and algorithmic governance to turn spend data into strategic leverage, ensure resilience, and capture disproportionate value in.
Abstract:Blockchain technology is touted for democratizing supply chains, but 30–40% of smallholder farmers are excluded from fair market participation due to information gaps and power imbalances. The first complete empirical examination…
examination of blockchain's capacity to empower disadvantaged farmers in Global South agri-food systems. The paper examines 15 large-scale implementations, including Kenyan coffee cooperatives and Indian dairy collectives, using a rigorous mixed-methods methodology. Technical scalability in resource-limited situations, governance structures that promote meaningful multi-stakeholder engagement, and quantifiable inclusion results for small-scale farmers are thoroughly examined. Comparative case study, agent-based adoption modeling, and quasi-experimental effect evaluation by Propensity Score matching reveal that blockchain's potential is not automatic nor inherent in eight nations. Techno-institutional synergy, not technological complexity, improves democracy, the research shows. Hybrid governance systems with farmer-controlled validator nodes and tokenized decision-making rights enhanced smallholder involvement by 58% and premium retention by 78% over corporate-controlled systems. However, technologically sophisticated deployments without institutional expertise frequently increase power concentration and exclusion. The blockchain viability index helps identify optimal deployment conditions for different commodities, empirical evidence challenges the idea that decentralization automatically promotes inclusion, and the inclusion-by-design framework helps policymakers embed equitable principles into decentralized agri-tech from the start. This study shows food system digitization practitioners and scholars that genuine democratization occurs when technology drives institutional transformation.
Abstract:The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.…
Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.
Abstract:This study aims to, 1) analyze the differences in problem-solving skills between students who are given treatment in the form of applying the Project Based Learning model with students who are given a conventional model…
in Economic Learning at MAN Jeneponto, 2) to analyze the effect of applying Project Based Learning on the problem-solving skills of class X students in economic learning at MAN Jeneponto. The research method used is quasi-experiment with Nonequivalent (Pretest and Posttest) Control Group Design. Data collection methods are through tests (pretest and posttest), questionnaires, and documentation. The number of samples in this study were 76 students, where in the experimental class there were 38 students and in the control class 38 students. The data analysis used is the N-Gain of the experimental class and control class, as well as the experimental class Hypothesis test. The results of this study indicate that the N-Gain of the experimental class is in the high and effective category, while the control class is in the low and less effective category. This means that the application of Project Based Learning is effective on the problem solving skills of class solving ability of class X students in economic learning at MAN Jeneponto
Abstract:PT Sugar Group Companies requires an information system that affects raw material inventory control. In this research, the Exponential Smoothing method is implemented to estimate the amount of raw materials needed in the…
future. This method is useful for companies to carefully calculate the amount of raw materials needed, this can reduce the budget and increase operational capabilities. The results of the study state that the Exponential Smoothing method can be used effectively in raw material inventory control information systems, both in industries that have high differences in demand for raw materials. Therefore, this system can facilitate PT Sugar Group Companies in optimizing the use of resources and developing service quality.
Abstract:This research departs from the fact that MSMEs are the pillars of economic growth to date, but their business growth is hampered by problems of weak control of strategic resources and limited market access. The general aim…
im of this research is to examine the development of a brick business competitiveness model. The research method uses a quantitative approach with an emphasis on explanatory research. The sample units are brick businesses located in Limbung Village, Bajeng District, Gowa Regency, totaling 65 businesses. Data collection used a survey with a questionnaire instrument using a Likert scale measurement. Respondents are asked to provide answers to closed statements. The respondents are brick business owners. The data analysis method in this research uses descriptive statistics to describe research variables and inferential statistics through PLS (Partial Least Square) analysis version of the WarpPLS 4.0 program. The results of the research analysis will be supported and deepened using a qualitative approach through in-depth interviews with several key informants and stakeholders.