RESUMEN
PURPOSE: This paper explores the use of Dynamic Business Modeling for Sustainability (DBMfS) in healthcare management settings as a holistic approach to integrating economic, social, and environmental dimensions into the business formula of these complex organizations. DESIGN/METHODOLOGY/APPROACH: After framing sustainable value in healthcare in terms of organizational complexity, wicked problems, and emerging managerial challenges, the paper proposes and illustrates the DBMfS approach that adopts a systemic view of sustainable value in healthcare. According to a qualitative perspective, a single-case study of a maternity-related healthcare treatment is also described to explore the implications and limitations of using this approach to sustainable business modeling in healthcare organizations. FINDINGS: Findings show that, by embracing sustainability through DBMfS, healthcare organizations can improve operational efficiency, reduce waste (like energy, water, and medical supplies), and enhance cost-effectiveness, thus contributing significantly to societal well-being. ORIGINALITY/VALUE: In recent years, the healthcare sector has faced numerous challenges and wicked problems, including escalating costs, resource constraints, and growing environmental concerns. As a result, the concept of sustainability has gained significant attention, thus calling scholars and practitioners to develop methods and tools able to integrate it into strategic management systems of healthcare organizations. By proposing the adoption of DBMfS in the healthcare sector, this paper contributes to feeding up the current debate.
Asunto(s)
Modelos Organizacionales , Eficiencia Organizacional , Atención a la Salud/organización & administración , Desarrollo Sostenible , HumanosRESUMEN
Background: Dropout in higher education is a socio-educational phenomenon that has the scope to limit the benefits of education as well as to widen social disparities. For this reason, governments have implemented various public policies for its prevention and mitigation. However, in rural populations, such policies have proven to be ineffective. The aim of this paper is to simulate public policy scenarios for the treatment of school dropout in rural higher education in Colombia from a Dynamic Performance Management approach. Methodology: To achieve the aim, a parameterised simulation model was designed with data from Colombian state entities in rural higher education. Five simulations were carried out. The analysis of the results was carried out using descriptive statistics and comparison of means using the Wilcoxon Sign Rank statistic. Results: The adoption of such an approach based on simulations suggests that policies to expand the coverage of educational credits and financial support, as well as the addition of a family income subsidy, allow for a reduction in the number of dropouts. Conclusions: A dynamic, data-driven approach can be effective in preventing and mitigating dropout in these areas. It also highlights the importance of identifying the key factors contributing to dropout. The results also suggest that government policies can have a significant impact on school retention in rural areas.