Which factors can influence the choice of system boundaries in an analysis?

The selection of system boundaries in an analysis is a crucial step that can markedly affect the outcome of any study. Each of the factors mentioned contributes to how these boundaries are determined and justified.

Data availability plays a significant role, as the boundaries of a system are often defined by the extent to which data can be gathered and analyzed. If data on certain components or processes is limited or inaccessible, analysts may be compelled to adjust their boundaries to focus only on those aspects for which sufficient data exists.

Stakeholder priorities are also essential in this context. Different stakeholders may have varying interests and concerns, which can shape what is included within the system boundaries. For example, a community's environmental concerns may lead to a different interpretation of boundaries compared to an economic analysis driven by cost efficiency.

Mental models refer to the underlying perceptions and conceptual frameworks held by the analysts or stakeholders involved. These models influence how individuals visualize systems and what they consider important or relevant. As a result, mental models can affect boundary decisions based on subjective interpretations of the system in question.

Since data availability, stakeholder priorities, and mental models all significantly influence the establishment of system boundaries, it is accurate to state that all of these factors contribute to this critical aspect of analysis. This holistic understanding of influences ensures