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 analyze the influence of financial compensation and work flexibility on employee loyalty, and to examine the role of job satisfaction as a mediating variable. This study focused on employees of the West…
t Java Gas and Steam Power Plant (PLTGU) to understand how these factors influence their level of loyalty to the company.
This study used a quantitative approach using a census method, sampling the entire population, consisting of 49 employees of the West Java PLTGU Operations Division. The data analysis technique used was Partial Least Squares (PLS) to test the direct and indirect relationships between variables in the research model. The results showed that financial compensation had a positive and significant effect on employee loyalty. Work flexibility was also shown to have a positive effect on loyalty, although this effect was not mediated by job satisfaction. Meanwhile, job satisfaction acted as a significant mediator in the relationship between financial compensation and employee loyalty. These findings suggest that employee loyalty can be enhanced through both increased compensation and direct provision of work flexibility.
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 aims to determine the effect of Word of Mouth (WOM) and promotion on consumer purchasing decisions for Fore Coffee products at the Alauddin Makassar branch. In the current digital era, consumer behavior is heavily…
vily influenced by peer recommendations and digital promotional strategies. Using a quantitative research approach with stratified random sampling, data were collected from 100 respondents through a Likert-scale questionnaire. Multiple linear regression analysis was used to assess the impact of the two independent variables—WOM and promotion—on purchasing decisions. The results showed that WOM has a significant partial influence on purchasing decisions, indicating that peer communication, both traditional and electronic, is a dominant factor in shaping consumer perceptions and preferences. Promotion, on the other hand, did not show a significant partial effect, suggesting that price incentives alone may not be sufficient to influence purchasing behavior unless reinforced by social influence or trust. However, the simultaneous effect of WOM and promotion was statistically significant, emphasizing their combined role in consumer decision-making. The study concludes that WOM is a more dominant and effective marketing tool than standalone promotions and should be central to marketing strategies in the lifestyle-based coffee industry. These findings contribute to a deeper understanding of consumer behavior and offer practical implications for enhancing marketing effectiveness through integrated communication approaches.
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
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.
Abstract:This study examines the influence of social media marketing on purchase intention through electronic word of mouth (eWOM). In today's era, eWOM has become one of the key factors influencing consumers" purchase intentions,…
, as information shared online can either strengthen or weaken a consumer" 's purchase intention. This research uses bibliometric analysis with data from the Scopus database to explore existing research trends and the relationship between social media marketing, eWOM, and purchase intention. The findings show that social media marketing significantly impacts purchase intention through eWOM as a mediator that strengthens this influence. This study provides valuable insights for marketers and the general public, especially in designing strategies that leverage eWOM to enhance social media marketing activities and increase purchase intention.
Abstract:This study investigates the impact of job preferences on self-perceived employability (SPE) among university graduates in Bandung, Indonesia. Unemployment in Indonesia, particularly among fresh graduates, has highlighted…
structural issues in the labor market, including skill mismatches and insufficient job creation. Job preferences, including factors such as salary, work-life balance, and career development, are crucial in determining an individual’s ability to secure desirable employment. This research, based on a sample of 280 graduates from various universities, reveals that well-defined and realistic job preferences positively influence SPE. The analysis shows a significant and strong relationship between job preferences and employability, with a high path coefficient (0.986) and a T-statistics value far exceeding the significance threshold. The results highlight the importance of aligning personal career goals with market demands, enhancing individuals’ self-confidence in their employability. Educational institutions also play a key role in shaping job preferences and employability by providing skills that match labor market needs. The study underscores the need for better integration between education and industry to improve graduates’ market readiness. Universities in Bandung should integrate skill training aligned with labor market demands, career guidance, industry trend seminars, and job search strategies to ensure graduates possess relevant preferences and skills for the workforce. This study employed the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method to analyze the factors influencing graduate employability preferences. As a recommendation, higher education institutions and policymakers should emphasize industry collaboration and adopt policies that enhance graduates’ readiness for the evolving job market.
Abstract:The problem of national food security is something that needs to be addressed sustainably by society and the government, especially in rural areas. To support food availability for the community, land is needed that can…
be used for food development. One alternative is to use the yard of the house. Home gardens not only function as areas that provide beauty and coolness, but also as productive land that supports national food security by empowering local potential, both in rural and urban areas. Apart from that, the use of the yard also contributes to improving the family's economy. This research aims to examine the characteristics of residents regarding the use of homestead land in rural areas, analyze their utilization patterns, and assess the effectiveness of using homestead land in supporting food availability. The data in this research were analyzed using an experimental method, which involved initial measurements (pre-test), providing treatment in the form of guidance or direction regarding land use, and follow-up measurements (post-test). The research sample was selected using the snowball sampling method, namely a sampling technique based on individual networks. The research results show that the use of yard land is effective in supporting food availability. This is shown by the respondent's answer score on the program effectiveness variable, which is in the range of 50-100%, so it is included in the effective category