According to Kubicek a simple check of a hypothesis has as little meaning as the mere construction of scientific statements. Therefore the scientific methodology to answer the main research question aims not to examine theory-led hypotheses but to construct and develop statements allowing for the creation of feasible realities. Due to the conceptual formulation of the aforementioned main research question a subdivision into several questions is necessary. These sub questions are defined as guidelines to answer the main
- What definition of resources is appropriate for this project?
- What stages exist in a tool’s life cycle?
- What parameters exist in tool designing?
- What are the influence factors (parameters) on resource consumption during these stages?
- What interdependencies exist between influence factors on resource consumption and tool parameters?
- What are the requirements and an appropriate design of a calculation tool for resource consumption?
- What business models can emerge from the tool makers’ usage of this calculation tool to sustainably improve their competitive position in the highly dynamic environment?
Working on solutions for different subdivided research questions brings links between problems of practice and newly defined research fields into focus.
Thus the core of the scientific methodology is a heuristic framework. Components of this construct are tool designs, manufacturing processes, resource consumption and tool reuse and recycling. The scientific methodology dictates an analysis of this heuristic framework from different perspectives.
These perspectives are derived from related scientific disciplines and shortened to quality & production management and marketing strategies. This is expected to be the most suitable scientific methodology to create solution to the depicted challenges and needs of SME.
The heuristic empirical approach will solve this multidimensional, complex problem in shorter time compared to an only analytical research approach based on laws of physics. The heuristic empirical approach offers shorter times of realization, testing and validation, it is also more operational for the users.