Route Optimization Strategies for Enhancing Logistics Efficiency in Agricultural Supply Chains
Evan Krisna Wijaya, Siti Shahira, Ilham Hakim Ramadhan, Shirat Sahl Ramadhan, Yohanes Ramot Hutabalian
The North Bandung Cattle Breeders Cooperative (KPSBU) plays a pivotal role in the regional dairy industry, yet it faces significant financial discrepancies due to inefficient, intuition-based feed distribution routes. These operational inefficiencies lead to vehicle operating costs (VOC) that consistently exceed the management’s established budgetary standards. This study aims to model and optimize these distribution costs through digital simulation to achieve higher logistical efficiency. The research employs a descriptive quantitative design, utilizing SCM Globe and AnyLogic software to simulate various routing and maintenance scenarios based on historical data. This simulation-based approach allows for the rigorous testing of a "digital twin" environment to identify the most cost-effective logistical strategy without disrupting active operations. The model specifically evaluates 11 distribution points (TPK) in the Lembang area, incorporating variables such as distance, vehicle lifespan, and maintenance requirements. The principal results demonstrate that Scenario 1, focusing on the shortest-path optimization, successfully reduces the VOC to Rp 549,146, yielding a direct saving of Rp 13,277 per trip. The major conclusion is that data-driven route optimization significantly outperforms conventional estimation methods in reconciling actual expenditures with corporate budgets. This study contributes a practical digital supply chain framework that agricultural cooperatives can adopt to enhance financial resilience and asset sustainability in the digital era.
Jun 04, 2026Vol. 1 No. 1 (2026)Logistics Optimization, Supply Chain Simulation, Cooperative Management, Vehicle Operating Costs.
Digital Entrepreneurship As A Driver of Ecosystem Reconfiguration: Systemic Perspective From Southeast Asia
Aisyah Rahman
Digital entrepreneurship is increasingly central to economic transformation in emerging economies, yet innovation ecosystem scholarship has not fully explained how digitally enabled ventures reshape ecosystem structures and coordination in developing contexts. Southeast Asia provides a distinctive setting where rapid digitalization intersects with uneven infrastructure and diverse institutional arrangements that condition ecosystem evolution. This study examines how digital entrepreneurship drives the reconfiguration of innovation ecosystem structures and coordination mechanisms in Southeast Asia. The research employs a qualitative comparative case study design across selected Southeast Asian contexts that vary in institutional coherence and digital infrastructure maturity. Data were collected through semi-structured interviews with key ecosystem actors and triangulated with documentary sources such as policy materials, industry reports, and platform and organizational records. The unit of analysis is the innovation ecosystem, with embedded attention to digital ventures, platform actors, intermediaries, and relevant public and private institutions. Data were analyzed using a systemic analytical framework integrating institutional theory, platform economics, and innovation ecosystem analysis to trace changes in roles, interdependencies, governance practices, and coordination routines. The results show that digital entrepreneurship reconfigures ecosystems by redistributing roles and interdependencies while shifting coordination toward platform-mediated governance that varies by institutional and infrastructural conditions. The study concludes that ecosystem transformation in Southeast Asia is pathway-dependent, shaped by the interaction of institutions, infrastructure, and entrepreneurial platform-based coordination rather than by startup activity alone. It contributes a cohesive systemic explanation that advances understanding of ecosystem reconfiguration in emerging economies by integrating structural change and coordination governance within a single framework.
Jun 04, 2026Vol. 1 No. 1 (2026)digital entrepreneurship, innovation ecosystems, platform governance, emerging economies
Integrated Environmental and Social Drivers of Economic Sustainability Performance
Ni Luh Putri Maharani, I Made Dwi Pranata Dwi Pranata
Corporate sustainability has become increasingly important in emerging economies where economic growth is closely intertwined with environmental degradation and social challenges. In Indonesia, regulatory reforms and stakeholder pressures have intensified expectations for firms to integrate environmental, social, and economic responsibilities into their governance structures. This study aims to examine the interdependence of environmental, social, and economic sustainability performance and its policy relevance in the Indonesian context. A qualitative research design was adopted using an interpretive analytical framework grounded in stakeholder, legitimacy, and shared value perspectives. Data were collected through semi-structured interviews with corporate and regulatory actors, complemented by documentary analysis of sustainability reports and policy documents. The analysis focused on identifying systemic linkages among environmental, social, and economic performance dimensions within corporate governance structures. The findings indicate that environmental and social sustainability performance mutually reinforce economic sustainability, operating as an integrated performance system rather than isolated dimensions. The study concludes that sustainability governance in emerging markets requires coordinated regulatory frameworks that reflect the interdependent nature of corporate performance. This research contributes to the field by extending the integrated sustainability framework into a developing country setting and strengthening the policy-oriented discourse on sustainability governance.
Jun 04, 2026Vol. 1 No. 1 (2026)Corporate sustainability, Emerging markets, Environmental performance, Governance
Artificial Intelligence and Business Model Transformation in The Digital Economy
Nanda Eka Pratiwi, Dian Rachmayati
Artificial intelligence has emerged as a transformative force in the digital economy, reshaping how firms compete, innovate, and create value. While many organizations adopt AI to improve operational efficiency, its broader implications for business model design remain under-theorized. This study aims to reconceptualize artificial intelligence as a structural driver of business model evolution rather than merely a technological enhancer. The research employs a qualitative, theory-building design grounded in conceptual synthesis. It integrates insights from business model theory, strategic management, innovation theory, and digital economics to develop a coherent analytical framework. Data were drawn from peer-reviewed academic literature and authoritative industry reports through a structured review process. Analytical dimensions focused on value proposition transformation, revenue architecture reconfiguration, cost structure dynamics, and firm–customer relationship evolution. The findings indicate that AI fundamentally transforms value creation by embedding predictive intelligence, enabling dynamic revenue models, reducing marginal costs through algorithmic scalability, and strengthening competitive positioning via data accumulation and continuous engagement. The study concludes that artificial intelligence operates as a structural foundation of modern business models, redefining the logic of value creation and competitive advantage in the digital economy. This research contributes to the field by bridging the conceptual gap between AI capability research and foundational business model theory, offering an integrated framework for understanding AI-driven strategic transformation.
Jun 04, 2026Vol. 1 No. 1 (2026)Artificial Intelligence, Business Models, Digital Economy, Value Creation
