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Exploring a Multidimensional Approach to Service Innovation

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Abstract

Given the fuzzy nature of services, it proves challenging to describe precisely what element of a renewed service offering can be regarded as innovative. Many existing characterizations are criticized for being too limited to capture distinctive features of new services accurately. This chapter describes the possibilities offered by a multidimensional approach to service innovation. Adhering to differentiated frameworks of where novelty can occur allows for comprehensive measurement and comparative analyses across sectors. Additionally, a multidimensional approach provides a basis for the application of system and complexity theory to service innovation. The rich but largely unexploited potential of this perspective is illustrated by testing a hypothesis regarding the relation between radicalness and innovation performance. Using survey-data from 341 firms, we operationalize a multidimensional conceptualization of service innovation and show that firms renewing a higher number of dimensions indeed tend to yield a higher percentage of their turnover from innovation. Further implications of treating services as multidimensional systems are discussed.

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Notes

  1. 1.

    For instance, there is not much to learn from comparing the service blueprints from a restaurant visit with the service blueprint of consulting a financial advisor. Only within these specific contexts, detailed mappings can point out differences and similarities that might lead to improvements.

  2. 2.

    Here, one could argue that these aspects pertain to types of innovations rather than dimensions of an individual service innovation.

  3. 3.

    Also the characteristics-based approach by Gallouj and Weinstein (1997) has been represented as a system of interrelated elements (Windrum and García-Goñi 2008). However, although noting that “the model is helpful for describing the various ways in which service innovations can produced”, it has been criticized for not being “very helpful if we want to describe more concretely the possible loci of innovation, i.e. all those elements of the service which can be changed” (Toivonen and Tuominen, 2009, p. 891).

  4. 4.

    This calculation is based on respondent evaluation of the question: “Our turnover mainly stems from services”. Using a7-point Likert-scale, we counted firms with a response of 4 or higher as service providers.

  5. 5.

    An exception is the measurement scale for Elevated Service Offerings (Agarwal and Selen 2011). However, being based on the older 4D-model and focused on collaboratively developed services, it is less suitable than the enhanced 6D-model by den Hertog et al. (2010).

  6. 6.

    Additional tests reveal that removing item 4B enhances the discriminant validity of two constructs sufficiently, also leading to a better model fit (χ2/df = 1.7; RMSEA = 0.045).

  7. 7.

    Exception here is the dimension New Value System, which relies on just a single item.

  8. 8.

    Robustness of our tests is warranted by using other thresholds (2, 6) as well. Results remain largely equal.

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Janssen, M., Castaldi, C., Alexiev, A., Den Hertog, P. (2015). Exploring a Multidimensional Approach to Service Innovation. In: Agarwal, R., Selen, W., Roos, G., Green, R. (eds) The Handbook of Service Innovation. Springer, London. https://doi.org/10.1007/978-1-4471-6590-3_5

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