Ioana-Alexandra Năstăsoiu

Advances and innovations in servicing technologies have changed operational and organizational systems from long-structured bureaucratic systems to more flexible and customer-oriented product systems. Although prior research has investigated technologies supporting activities and using the Agile frames, the knowledge deficits in driving the restoration of organizational value creation systems have not been adequately filled. This paper fills these gaps by presenting a comprehensive product operating model that shows innovation, scalability, and customer value proposition. Using WHO, WHAT, and HOW, the study divides work and design approaches regarding customer-oriented product and service delivery. Arguing from theory and grounding the findings in case organizational examples in Amazon and Spotify, the study shows how technology enablers such as artificial intelligence, business analytics, and real-time monitoring facilitate decision-making and operations agility. The results present practical implications for scholars and industry professionals based on a curriculum that integrates theory and practice for digital innovation. This study provides the basis for sustaining competitive advantage in the dynamic environment by offering organizations a sound, flexible, and proliferative model.

Circular economy-driven business model innovation is an emerging field of study that emphasizes sustainable practices across industries. This study explores how circular economy strategies can act as guiding tools for business model innovation and investigates the main challenges faced by companies adopting circular economy-driven innovations. Building on existing literature, and proposing a 14R circular strategies framework, the research employed a qualitative methodology based on three case studies using semi-structured interviews to collect data, followed by individual case analysis and cross-case comparisons. Findings highlight how circular economy strategies, such as redesign, reuse, and repurpose, can enhance business model elements. The research also emphasizes the critical role of stakeholder relationships in advancing circular economy practices and reveals key challenges, like logistical barriers, limited infrastructure, and shifting market dynamics. Contributions to the field include validating the flexibility of the proposed 14R framework and demonstrating its applicability across diverse industries. The research offers actionable insights for practitioners and policymakers aiming to align the circular economy principles with business model innovation while addressing systemic barriers and fostering sustainable growth.

This study uses cross-section regressions and spatial econometrics techniques to identify determinants of rural development project implementation based on the Common Agriculture Policy (CAP) of the European Union. For this, we use 40 Romanian counties. Results show that agricultural land abundancy and land concentration degree are significant positive factors. On the contrary, the local human development level is a negative determinant, low values for this factor being an incentive to compensate the lack of own resources through European funding. No significant effects of the average salary or population density were depicted. Spatial analysis indicates contagion and diffusion processes for fund accession through projects. This behavior is like that in other financial sectors, in which human behavior is a decisive factor, such as the insurance one. A West–East clusterization process is identified for the total project value, conditioned by the identified factors.