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Showing 2513 articles found for "Stem"

The Influence of Competence, Reward System, and Training on the Performance of BPRS Executive Officers with Job Satisfaction as an Intervening Variable

Kartiko, Cahyo, Yuniningsih, Purwanto, Sugeng
Abstract: This study aims to analyze the effects of competence, reward systems, and training on the performance of executive officers in Sharia Rural Banks (BPRS), with job satisfaction as an intervening variable. The primary focus… s is to assess the extent to which these factors influence executive performance within the context of Islamic microfinance institutions. Employing a quantitative, explanatory design, primary data were collected via a Likert-scale questionnaire and analyzed using structural equation modeling–partial least squares (SEM–PLS) with SmartPLS. The study population consists of executive officers of BPRS in Indonesia. Using purposive sampling, 121 responses were obtained from multiple BPRS across several regions. The results show that (1) competence has a positive effect on performance; (2) job satisfaction positively affects performance; (3) the reward system influences performance primarily through job satisfaction (partial/competitive mediation), while its direct effect on performance tends to be negative; and (4) training does not exhibit a significant effect on performance, and its indirect path via job satisfaction is not significant. These findings highlight the importance of strengthening competence and redesigning reward systems in alignment with executive expectations to enhance job satisfaction and performance.

Procurement Liberation: How School Districts are Cutting 47% of Purchasing Waste by 2025

Dzreke, Simon Suwanzy
Abstract: A mid-sized school district could achieve annual savings of $2.3 million—sufficient to support significant teacher salary increases—by streamlining procurement processes and reducing the number of suppliers from 87 to 12.… o 12. This practical success reflects the operational rigor of enterprise models, exemplified by Walmart Business, which has been successfully tailored for K-12 education. The study indicates a systemic crisis. Sixty-eight percent of U.S. districts experience a 19% loss of their non-payroll budgets due to procurement inefficiencies, resulting in significant financial losses for classrooms attributed to fragmented purchasing and compliance deficiencies. The study employs a rigorous mixed-methods analysis, incorporating in-depth case studies from 35 districts, a national survey of 300 procurement officers, and comprehensive spend analytics, to illustrate the transformative outcomes associated with enhanced procurement maturity. Consolidated purchasing platforms reduce processing costs by 53% and capture 92% of rebates. Additionally, the new Procurement Simplicity Scorecard predicts 79% efficiency gains, offering leaders a practical diagnostic tool. This study presents two validated innovations: the K-12 Procurement Maturity Model, which delineates a phased progression from fragmentation to strategic excellence, and the Zero-Waste Playbook, which details tactical measures for waste elimination. The evidence indicates that reengineering procurement is not merely an administrative concern; it represents a significant, frequently neglected mechanism for generating billions in savings by 2025. These funds have the potential to enhance arts programs, update outdated STEM laboratories, and recruit and retain high-quality educators. This research offers a definitive framework for districts aiming to transform waste into opportunities for equity.

Beyond The Hype: a Real World Evaluation of Blockchain's Role in Democratizing Agri Food Systems

Dzreke, Simon Suwanzy
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.

Bridging The Digital-Physical Divide: Transfer Learning For Unified Threat Correlation in Converged IT/OT/IOT Ecosystems

Dzreke, Simon Suwanzy
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.

Indonesia's Social Enterprise: Policy Challenges and Support Needs

Sebastian Billy Anggara, Irma Tsuraya Choirinnida
Abstract: This research investigates the policy landscape surrounding social entrepreneurship in Indonesia, encompassing legal and regulatory frameworks, government initiatives, and institutional support for social enterprises. The… e study is crucial as it addresses an understudied area, aiming to inform policymakers, foster collaboration, stimulate economic development, and promote sustainable growth. The methodology involved qualitative interviews with eight social entrepreneurs across Indonesia. Collected data was analyzed using content analysis techniques, facilitated by the MAXQDA platform. Findings indicate that despite social entrepreneurship being an emerging field in Indonesia, there is a notable lack of effective policies and regulations. Six of eight respondents perceived inadequate current regulatory support, and half cited financial challenges as a significant issue. Conversely, seven respondents acknowledged existing government assistance, suggesting a willingness to support the sector. Based on these results, key recommendations for the government to foster a supportive ecosystem include developing non-overlapping policies, implementing substantive policy changes, promoting useful policies, simplifying bureaucracy, and engaging in direct dialogue with social entrepreneurs. The research concludes that addressing these areas can empower social entrepreneurs to create lasting social impact. This study uniquely fills a gap by directly engaging social entrepreneurs, though future research should include government representatives for broader perspectives. 

Strategic Financial Management in The Digital Age: Leveraging Artificial Intelligence (AI) for Enhanced Creativity and Insight

Han, Yonghwa, Nurwulandari, Andini, Hasanudin
Abstract: This study investigates the influence of artificial intelligence (AI) integration on strategic financial management in large corporations. Focusing on a sample of 20 Fortune 500 companies from diverse industries, the research… earch employs a quantitative, descriptive-analytical approach utilizing secondary data from financial reports and AI system logs. The findings reveal that AI adoption significantly enhances forecasting accuracy, risk identification, and operational efficiency, while also enabling financial managers to redirect resources toward creative and strategic initiatives. However, the study also identifies challenges related to data quality, ethical considerations, and skill gaps in AI utilization. The results highlight the importance of a balanced approach that combines AI-driven insights with managerial intuition to maximize value creation in the digital age.

Balancing Work Life For Better Performance: Investigating The Moderating Effect of Family Supportive Supervisor Behavior

Ramadhan, Fajar, Kambara, Roni
Abstract: This study examines the effect of work-life balance on employee performance, with family supportive supervisor behavior as a moderating variable. The research was conducted at the Regional Financial and Asset Management… Agency (BPKAD) of Banten Province, Indonesia, involving civil servants as respondents. This study addresses the issue of fluctuating employee performance despite repeated institutional achievements, by investigating the role of work-life balance and supervisor support in enhancing individual outcomes. A quantitative approach with a descriptive design was used, and data were collected through structured questionnaires. The results show that work-life balance positively influences employee performance. However, family supportive supervisor behavior does not significantly strengthen this relationship, indicating that while supervisor support is appreciated, it may not be sufficient in the absence of broader organizational support systems. These findings highlight the importance of implementing formal work-life policies and promoting a supportive work culture to improve employee well-being and performance in public institutions.

The Influence of Knowledge Management on Employee Competencies at PT. Semen Indonesia Unit Tonasa

Muhammad, A Fadel, Joeliaty, Muizu, Wa Ode Zusnita
Abstract: This study examines the influence of knowledge management on employee competencies at PT. Semen Indonesia Unit Tonasa. Knowledge management, encompassing knowledge creation, storage, sharing, and application, plays a crucial… cial role in enhancing employee knowledge, skills, and attitudes. Employing a quantitative approach, data were collected through structured questionnaires and analyzed using Structural Equation Modeling (SEM). The findings reveal a significant positive relationship between knowledge management and employee competencies, with a path coefficient of 0.512 and a t-statistic of 7.245. Among the dimensions, knowledge sharing emerged as the strongest contributor to competency development, fostering collaboration and collective learning. Employees reported significant improvements in technical expertise, problem-solving skills, and adaptability. However, challenges such as resistance to change, uneven participation, and resource constraints were identified as barriers to the full implementation of knowledge management initiatives. This study underscores the importance of structured knowledge management practices in developing a skilled and adaptable workforce. Practical recommendations include fostering a knowledge-sharing culture, addressing resistance to change, promoting inclusive participation, and investing in knowledge management systems. These insights are expected to contribute to the academic literature and provide actionable strategies for organizational development

The Influence of Organizational Learning on Employee Competencies at PT. Semen Indonesia Unit Tonasa

Muhammad, A Fadel, Joeliaty, Muizu, Wa Ode Zusnita
Abstract: This study examines the influence of organizational learning on employee competencies at PT. Semen Indonesia Unit Tonasa. In the context of intense market competition and rapid technological change, fostering continuous… learning has become critical for organizations to enhance workforce adaptability and innovation. Organizational learning dimensions—such as personal mastery, shared vision, team learning, mental models, and systems thinking—were analyzed for their contribution to employee competencies, including knowledge, skills, and attitudes. A quantitative approach using Structural Equation Modeling (SEM) revealed a significant positive relationship between organizational learning and competencies, with a path coefficient of 0.465 and a t-statistic of 6.434. The findings underscore the role of organizational learning in improving employee collaboration, problem-solving, and strategic thinking. However, challenges like resistance to change, unequal participation, and resource limitations were identified as barriers. Addressing these issues through leadership commitment, inclusive participation, and resource optimization can amplify the impact of learning initiatives.

The Pattern of Financial Management and Challenges Faced by Digital Startups in Indonesia: an Accounting and Financial Technology Perspective

Halim, Ade Imam Muttaqien, Muhammad, A Fadel, Nitswat, Nurhaliza, Ardi, Nur Astiana Hidayat
Abstract: This research aims to explore the financial management patterns applied by digital startups in Indonesia, along with the challenges and solutions faced by their founders in managing their finances. The study uses a qualitative… tative approach with case studies to gather data through in-depth interviews, observations, and analysis of financial documents from digital startups operating in Indonesia. The findings reveal that ineffective cash flow management, dependence on external funding, and a lack of strategic financial management understanding are some of the primary challenges faced by these startups. The study emphasizes the importance of adopting efficient financial practices, including utilizing financial technology to improve cash flow management and reduce dependency on external capital. Additionally, it underscores the need for startup founders to build a competent finance team to ensure sustainable growth. This research contributes to the understanding of financial management in the context of digital startups in Indonesia and provides insights on overcoming financial challenges to strengthen the startup ecosystem