Abstract:This study aims to improve the internal capacity of Malabar MSMEs in managing digital marketing through an internal training program designed based on the SMART Framework approach. The main problem faced by Malabar is the…
e lack of staff understanding in managing social media, especially Instagram, which impacts weak brand awareness and brand identity. This study uses a descriptive qualitative approach with a project-based learning method, in which researchers are actively involved in the planning, implementation, and evaluation of the training program. Data were collected through participant observation, semi-structured interviews, and documentation during the training process. The training objectives were formulated specifically, measurable, achievable, relevant, and time-limited, in accordance with the SMART principles. The results showed a significant increase in staff understanding of content planning, creating visual materials consistent with brand identity, and using Instagram analytics features. The post-test showed an increase in the average score of participants, and the MSMEs' digital activities became more structured. These findings indicate that internal training designed with the SMART approach is effective in building staff digital competencies and supporting brand image strengthening on social media. Overall, this study shows that improving internal digital literacy is a strategic step that can strengthen the competitiveness of MSMEs in the ever-evolving digital ecosystem
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.
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.
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.
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 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.
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.
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.
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