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Which industrial product service system fits best?: Evaluating flexible alternatives based on customers' preference drivers
Mario Rese, Wolf-Christian Strotmann, Markus Karger
Journal of Manufacturing Technology Management
2009
640 - 653
1741-038X
10.1108/17410380910961037
Emerald Group Publishing Limited
Financial support from the German Science Foundation (DFG) through SFB/TR29 is gratefully acknowledged.
Purpose – Industrial product service systems (IPS
Design/methodology/approach – A theoretical, literature-based analysis, drawing on different fields of economic research, is made use of. A tool to anticipate customer decisions based on the identified preference drivers is devised.
Findings – Nine main preference drivers are identified. These are customer resources, know-how, number of employees, core competences, value-based figures, process intricacy, process standardization, process frequency and process significance.
Research limitations/implications – The drivers identified on a theoretical basis should be investigated empirically. Special consideration should be given not only to the direction of their effect, but also their strength and interdependency.
Practical implications – The paper helps IPS
Originality/value – The paper is the first paper that focuses on the relevant influence factors of a customer's decision about the IPS
Customers, Decision making, Industrial services, Services
Research paper