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Developing and validating a multi-dimensional scale for operationalizing industrial service offering

Partanen, Jukka; Kohtamäki, Marko; Parida, Vinit; Wincent, Joakim (2017-03-06)

 
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URI
https://doi.org/10.1108/JBIM-08-2016-0178

Partanen, Jukka
Kohtamäki, Marko
Parida, Vinit
Wincent, Joakim
Emerald
06.03.2017
doi:10.1108/JBIM-08-2016-0178
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202001091646

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vertaisarvioitu
Tiivistelmä
Purpose – The purpose of this paper is to develop a new scale for measuring the scope (i.e. breadth and depth) of industrial service offering.

Design/methodology/approach – The scale and its constructs are developed by combining the key insights from prior literature and practitioners gained through expert interviews; validating the constructs by 3 item-construct validation rounds with 9 academic experts; and by testing and further revising the scale, with a sample of 91 manufacturing firms.

Findings – The distinct contribution of the study is the construction and validation of a new multi-dimensional scale for operationalizing the scope of industrial service offering. In addition, the identified service categories (i.e. pre-sales services, product support services, product life-cycle services, R&D services and operational services) extend the current literature on service typologies.

Research limitations/implications – The data are somewhat biased toward small- and medium-sized industrial firms. Hence, the development of the measurement in the context of large industrial firms provides one fruitful avenue for further research.

Practical implications – For managers of industrial firms, the identified service categories provide novel insight on how to develop, bundle and commercialize industrial services to their varying customer segments.

Originality/value – This study develops a multi-dimensional, fine-grained, statistical and relationship-level scale for measuring the scope of industrial service business. Moreover, this study tests and further develops the scale with quantitative empirical data.
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