Description
Sustainability, sustainable development, and transformation is about balancing the economic, environmental and social aspects of organisations and their operations. Existing systems do not comprehensively support sustainable transformation nor do they allow decision makers to explore interrelationships and influences between the sustainability dimensions. This leads to silo based decision making where vision and strategies are not mapped to execution, and sustainability modelling processes are uncoordinated, lack holism, are biased and myopic. One of the critical challenges is the lack of processes and systems that allow the integration of models belonging to disparate paradigms in a holistic manner. To overcome these problems this research proposes a holistic, multi-paradigmatic, integrated modelling and decision making (HOMIMD) approach for sustainable development and transformation. We apply the HOMIMD processes, and requirements to a warehouse management problem and leverage optimization (AIMMS), systems dynamics (iThink), and data mining (SPSS Modeler) approaches, techniques, and systems to solve the problem.
Recommended Citation
Do, Minh; Sadovykh, Valeria; and Sundaram, David, "Sustainable Development through Holistic Multi-Paradigmatic Integrated Modeling and Decision Making" (2017). AMCIS 2017 Proceedings. 2.
https://aisel.aisnet.org/amcis2017/GreenIS/Presentations/2
Sustainable Development through Holistic Multi-Paradigmatic Integrated Modeling and Decision Making
Sustainability, sustainable development, and transformation is about balancing the economic, environmental and social aspects of organisations and their operations. Existing systems do not comprehensively support sustainable transformation nor do they allow decision makers to explore interrelationships and influences between the sustainability dimensions. This leads to silo based decision making where vision and strategies are not mapped to execution, and sustainability modelling processes are uncoordinated, lack holism, are biased and myopic. One of the critical challenges is the lack of processes and systems that allow the integration of models belonging to disparate paradigms in a holistic manner. To overcome these problems this research proposes a holistic, multi-paradigmatic, integrated modelling and decision making (HOMIMD) approach for sustainable development and transformation. We apply the HOMIMD processes, and requirements to a warehouse management problem and leverage optimization (AIMMS), systems dynamics (iThink), and data mining (SPSS Modeler) approaches, techniques, and systems to solve the problem.