Modeling of Integrated Supply-, Value- and Decision Chains within Food Systems

This paper presents a work in progress on the development of a mental model of a food system using system analysis. The aim is to be able to use this model to create a mathematical simulation model that can be used to identify policy intervention opportunities, specifically focusing on the resilience, integrity and sustainability of food supply networks. The traditional view of food systems as supply chains with a downstream physical flow of products is extended to include the associated upstream flow of money and the decision chains that link these flows. Central to this work is the idea that supply systems are driven by profit and regulated by market dynamics and that these factors generate the underlying feedback structure of the system. Studying the structure of such systems as integrated supply-, value- and decision chains has underscored their complexity and the need for further, more food system specific research

Productivity in an Organizational Setting: A Systematic View of the Causalities at Work

The purpose of this research was to portray productivity in a larger context than has previously been done, using system analysis. The result was a single causal loop diagram describing productivity in a work setting. Information on the components affecting productivity and how they interact was gathered from the industrial and organizational psychology (I-O psychology) literature as researchers in that field have spent a great deal of effort on shedding light on the subject. Articles from well-known I-O psychology journals were selected for further analysis through a systematic literature search. From these articles, 45 different causal loop diagrams (CLDs) were constructed based on the causalities described in their theoretical background sections and results. These CLDs were subsequently synthesized in two steps to create a single CLD describing productivity. The resulting CLD provides an opportunity to view productivity in the work place in a wider context, making it easier to understand how the different components affecting productivity interact, by balancing and reinforcing their respective effects. These results provide a foundation for further work towards a theory of productivity. The ultimate practical purpose of studying productivity must be to be able to control it. That requires an understanding of the causalities at work

Productivity in an organizational setting: A systematic view of the causalities at work

The purpose of this research was to portray productivity in a larger context than has previously been presented, using system analysis. The result was a single causal loop diagram describing productivity in a work setting. Information on the components affecting productivity and how they interact was gathered from the industrial and organizational psychology (I-O psychology) literature as researchers in that field have spent a great deal of effort on shedding light on the subject. Articles from well-known I-O psychology journals were selected for further analysis through a systematic literature search. From these articles, 45 causal loop diagrams (CLDs) were constructed based on the causalities described in their theoretical background sections and results. These CLDs were subsequently synthesized in two steps to create a single CLD describing productivity. The resulting CLD provides an opportunity to view productivity in the workplace in a wider context

Modeling of Integrated Supply-, Value- and Decision Chains within Food Systems

This paper presents a work in progress on the development of a mental model of a food system using system analysis. The aim is to be able to use this model to create a mathematical simulation model that can be used to identify policy intervention opportunities, specifically focusing on the resilience, integrity and sustainability of food supply networks. The traditional view of food systems as supply chains with a downstream physical flow of products is extended to include the associated upstream flow of money and the decision chains that link these flows. Central to this work is the idea that supply systems are driven by profit and regulated by market dynamics and that these factors generate the underlying feedback structure of the system. Studying the structure of such systems as integrated supply-, valueand decision chains has underscored their complexity and the need for further, more food system specific research