In the automotive industry, suppliers from the consumer electronics and high-tech industry are becoming increasingly relevant, for example in the context of automated vehicles. The carmakers’ purchasing organizations need to understand the power constellation in negotiations with these new suppliers, since negotiating power is the greatest lever for influencing the outcome of negotiations. This study analyzes the importance of organizational sources of power and their interplay with the products’ degree of innovation.
The number of alternative suppliers is widely considered to be the most important source of power in supply chains. It is common knowledge that a buying company benefits from an increasing number of suppliers until a marginalization effect occurs. Consequently, a cost-benefit optimum must exist but has not been analyzed in a sufficiently differentiated manner in the literature. Particularly, research has not taken the variety of product groups, which is reflected by the degree of innovation, into account. Using a two-way analysis of variance, this study identifies the cost-benefit optimum for the number of suppliers and analyzes the moderating role of the degree of innovation. The analysis is based on real automotive business-to-business negotiation data. The results reveal that a cost-benefit optimum is reached at a number of three suppliers at the most. Furthermore, the impact of the number of suppliers is higher for innovative products than for more functional products. Purchasing managers can use the findings to determine the optimal size of their supplier choice set.
Die vorliegende Arbeit berichtet über die Entwicklung des „Fragebogen zum Studieninteresse" (FSI) und seine testtheoretische Überprüfung. An der Untersuchung nahmen 298 Studenten verschiedener Studiengänge teil. Ausgehend von einer 27 Items umfassenden Version verblieben aufgrund von Faktorenanalyse und Rasch- Skalierung 18 Items, die eine eindimensionale Skala bilden. Die interne Konsistenz (Alpha) des revidierten FSI beträgt .90, die Test-Retest-Reliabilität .67 (Zeitspanne: 2 Jahre). Zur Prüfung der Validität des revidierten FSI wurde eine Reihe weiterer Variablen erhoben (z.B. intrinsische motivationale Orientierung, Tätigkeitszentrierung, Extraversion, Verwendung von Lernstrategien, Studienleistung). Die Ergebnisse zeigen, daß der FSI in ausreichendem Maße konvergente, diskriminante und kriteriumsbezogene Validität besitzt.