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:This research aims to determine the form of cooperation development between the Unesa Faculty of Economics and Business and partners from various institutions both domestically and abroad in order to achieve a Faculty with…
th a global reputation. The research method used is a qualitative method where data collection is carried out by conducting in-depth interviews, observation, documentation and Focus Group discussions. The results of this research show that the development of partnership cooperation between the Faculty of Economics and Business, Universitas Negeri Surabaya, Indonesia with domestic and foreign partners includes education, research and community service. Educational activities in the form of lecturer and student exchanges, seminars, proceedings, guest lectures, visiting lecturers/professors, curriculum benchmarking. Collaboration in the field of research takes the form of joint research, joint publication, joint editor and journal reviewer. Collaboration in the field of community service takes the form of outreach activities, training, mentoring and demonstration activities related to partner needs. So far this collaboration has shown a significant positive impact. The results of the research findings can add theoretical and methodological studies to the repertoire of scientific development regarding the study of the importance of collaboration in an organization, especially for higher education institutions. The contribution of this research adds to the study of the importance of cooperation, not only for the benefit of both parties but also for having an impact on the progress of institutions and society. Contribution for educational institutions, both formal and non-formal, to continue to build partnerships and to socialize the importance of cooperation to increase institutional progress, building more networks to strengthen cooperation. The practical implication of this research is that the Faculty of Economics and Business continues to strive for collaborative networks with the aim of increasing and strengthening collaboration networks in accordance with the vision and mission of the Unesa Faculty of Economics and Business. Priority programs in the context of achieving a global reputation can be used as main topics for collaboration with partners. This implication also adds to the study for educational and non-educational institutions that by collaborating, relationships are created to share knowledge, experience and resources to achieve common goals and contribute to the development of society and the nation.
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 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:In an increasingly competitive business world, building customer loyalty does not solely depend on product quality but also on interactions that foster trust and emotional connection. This study explores the role of Human…
n Resources (HR) as Brand Ambassadors in enhancing customer loyalty through a qualitative approach. The research method employed is a case study, utilizing in-depth interviews, participatory observation, and document analysis as data collection techniques.The findings indicate that internal brand ambassadors are more effective than celebrities or influencers as they have a deeper understanding of the product and company values. Direct interaction between internal brand ambassadors and customers creates a more authentic experience, strengthens trust, and enhances brand loyalty. Additionally, value alignment between employees and the company plays a crucial role in the success of this strategy. This study suggests that companies aiming to improve customer loyalty can optimize the role of HR as brand ambassadors. By fostering more personal and authentic interactions, internal brand ambassadors contribute to the development of long-term relationships between customers and brands
Abstract:This study investigates the role of technology management in human resource management (HRM) within start-up companies in Indonesia. Focusing on start-ups that have been operating for at least three years and employ a minimum…
nimum of 20 personnel, the research utilizes a qualitative descriptive approach. Primary data was collected through in-depth interviews with HR managers, company executives, and employees, while secondary data was sourced from company documents and participatory observation. The findings show that the adoption of technology, particularly Human Resource Management Systems (HRMS) and Learning Management Systems (LMS), has improved HR processes, including recruitment, training, and performance management. However, challenges remain, such as digital literacy issues, cost constraints, and the misalignment of technology with organizational culture. While technology enhances operational efficiency, it cannot replace essential face-to-face interactions that contribute to a strong organizational culture. The study suggests that start-ups must customize technology solutions to better align with their specific needs and culture. This research provides valuable insights into the integration of technology in HRM and offers recommendations for overcoming the challenges start-ups face in leveraging technology effectively
Abstract:The digital disruption era has significantly impacted startups, requiring them to adopt innovative Human Resource Management (HRM) strategies to remain competitive. This study examines HRM technology adoption, including AI-based…
ng AI-based recruitment, cloud-based HRIS, and digital collaboration tools, and the challenges that hinder their full implementation. Despite the benefits, budget constraints, lack of managerial support, and low digital competencyremain major obstacles. Using a qualitative descriptive approach, data were collected from Indonesian startups through in-depth interviews, observations, and document analysis. Findings indicate that startups with clear digital transformation roadmaps, strong leadership engagement, and structured employee training programs are more successful in integrating HRM technology. However, many startups still rely on manual HR processes, limiting efficiency and innovation. This study highlights that HRM should be a strategic function rather than an administrative task, focusing on technology-driven efficiency, digital upskilling, and cultural adaptation. To ensure sustainable growth, startups must prioritize digital innovation, workforce development, and managerial commitment in their HRM transformation.
Abstract:The era of artificial intelligence (AI) has brought significant changes in Strategic Human Resource Management (SHRM). This study aims to explore organizational adaptation strategies in facing the integration of AI in SHRM…
RM after 2024. Using the Scoping Review method, this study identifies key trends, challenges, and best strategies in implementing AI in HR management. The review results show that AI improves efficiency in recruitment, performance evaluation, and employee skills development, but also presents ethical challenges such as algorithmic bias and personal data protection. In addition, companies that are successful in adopting AI implement reskilling and upskilling strategies to ensure workforce readiness. This study provides insights for academics and practitioners in developing HR policies that balance technological efficiency and a human value-based approach.