From asset provider to knowledge company—Transformation in the digital era

Helena Kortelainen*, Ari Happonen, Jyri Hanski

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    30 Citations (Scopus)

    Abstract

    Digitalization and the industrial internet is expected to bring major changes in manufacturing and service delivery—following the transformation in business to consumer markets. The industrial internet enables new business by connecting intelligent devices and people using them into cloud based analytics and decision-making systems. The objective of this research was to understand the transformation from an asset provider to a knowledge service company by analysing companies’ service offerings. ‘Data to decision’—framework is used to categorize service concepts according to their knowledge intensity. The framework suggests that the service provider could offer new value to its customers by being able to provide knowledge as a service. In this paper, we discuss shortly the steps that characterize the transformation and the possible business impacts this transformation generates. Additionally, we connect the steps into the framework to help further research in this field. For further research, we suggest that the framework could be used for similar analysis with comparable data and to help to understand the ongoing transition in business ecosystems.

    Original languageEnglish
    Title of host publicationAsset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies
    EditorsJoseph Mathew, C.W. Lim, Lin Ma, Don Sands, Michael E. Cholette, Pietro Borghesani
    PublisherSpringer
    Pages333-341
    Number of pages9
    ISBN (Electronic)978-3-319-95711-1
    ISBN (Print)978-3-319-95710-4
    DOIs
    Publication statusPublished - 2019
    MoE publication typeA3 Part of a book or another research book

    Publication series

    SeriesLecture Notes in Mechanical Engineering
    ISSN2195-4356

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