1) Example of Decision Support System used in the implementation
Regarding to my experiences, Project performance are based on Logical framework which are filled with target based on theory of change (desired outcome). Indicators are defined to measure the progress of project and adaption are made based on tracking the indicators. Indicators are also collected by using standardized form to measure the intended result. Evidence are generated based on data collection and use to decide the adaptive changes like project redesign, adding resources (budgets, Human resources, technical trainings).
2) Working well?
Data collection and information are essential to be reflective decision making. Without real time data, effective intervention can not be conducted by management level. Although Humans and Organization level are working well as per responsibilities, there is a constraint that is preventing to be functioning. It is technology. Lack of enough data affects in decision making.
3) Factors that influence the decision support system implementation
Lack of enough data is the critical issue for decision support. Secondly, Human resource and Organizational structure are also important vice visa. Enough HR and Good organizational management could enable to conduct enough data for correct decision making.
