From an academic perspective, some initial contributions to success factor research exist. An analogy with the natural sciences shows that causal links between actions and their successful effects as the main goal. In the social sciences, the deterministic claim of the empirical success factor research approach very often cannot contribute clear results (e.g. Eyholzer and Hunziker, 2000; Industrial Distribution, 2001; The Institute of Management and Administration, 2000; Wyld, 2004, Kauffmann and Mohtadi, 2004; Gebauer and Shaw, 2004). Instead of the verification of constant laws, the search for a few parameters (success factors) is therefore proposed (e.g. Boynton and Zmud 1984). This more qualitative research approach identifies success factors from case studies and differs from empirical success factor research that defines strong requirements in terms of validity and reliability. Despite these missing causal effects, there is a belief that research has to strive for recommendations that reduce uncertainty and guide management actions (Tan and Pan, 2002).