Enablers and barriers of smart data-based asset management services in industrial business networks

Toni Ahonen (Corresponding author), Jyri Hanski, Matti Hyvärinen, Helena Kortelainen, Teuvo Uusitalo, Henri Vainio (Corresponding author), Susanna Kunttu, Kari Koskinen

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

    Abstract

    Recent academic research has paid particular attention to how digitalization disrupts current business models and business environments. Furthermore, servitization has gained significant attention. However, so far only a fraction of the wide range of opportunities related to digitalization has been realized. In this paper we aim to better understand the drivers, limitations and stakeholder expectations in different industrial business environments. In the proposed paper, we address digitalization in the area of engineering asset management from the following perspectives: (1) enablers and barriers of digitalized asset management service business, (2) availability and use of data for decision-making support, and (3) changes for business models. We also further contemplate which decision-making situations need to be supported by digital asset services. The paper is based on data received from a company workshop and a literature review.

    Original languageEnglish
    Title of host publicationAsset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies
    Subtitle of host publicationProceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery
    EditorsJ. Mathew, C. Lim, D. Sands, M. Cholette, P. Borghesani
    PublisherSpringer
    Pages51-60
    Number of pages10
    ISBN (Electronic)978-3-319-95711-1
    ISBN (Print)978-3-319-95710-4
    DOIs
    Publication statusPublished - 1 Jan 2019
    MoE publication typeA3 Part of a book or another research book

    Publication series

    SeriesLecture Notes in Mechanical Engineering
    ISSN2195-4356

    Fingerprint

    Asset management
    Industry
    Decision making
    Availability

    Cite this

    Ahonen, T., Hanski, J., Hyvärinen, M., Kortelainen, H., Uusitalo, T., Vainio, H., ... Koskinen, K. (2019). Enablers and barriers of smart data-based asset management services in industrial business networks. In J. Mathew, C. Lim, D. Sands, M. Cholette, & P. Borghesani (Eds.), Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery (pp. 51-60). Springer. Lecture Notes in Mechanical Engineering https://doi.org/10.1007/978-3-319-95711-1_6
    Ahonen, Toni ; Hanski, Jyri ; Hyvärinen, Matti ; Kortelainen, Helena ; Uusitalo, Teuvo ; Vainio, Henri ; Kunttu, Susanna ; Koskinen, Kari. / Enablers and barriers of smart data-based asset management services in industrial business networks. Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. editor / J. Mathew ; C. Lim ; D. Sands ; M. Cholette ; P. Borghesani. Springer, 2019. pp. 51-60 (Lecture Notes in Mechanical Engineering).
    @inbook{1e506b3afb324e14b0f0922b2d7fadfe,
    title = "Enablers and barriers of smart data-based asset management services in industrial business networks",
    abstract = "Recent academic research has paid particular attention to how digitalization disrupts current business models and business environments. Furthermore, servitization has gained significant attention. However, so far only a fraction of the wide range of opportunities related to digitalization has been realized. In this paper we aim to better understand the drivers, limitations and stakeholder expectations in different industrial business environments. In the proposed paper, we address digitalization in the area of engineering asset management from the following perspectives: (1) enablers and barriers of digitalized asset management service business, (2) availability and use of data for decision-making support, and (3) changes for business models. We also further contemplate which decision-making situations need to be supported by digital asset services. The paper is based on data received from a company workshop and a literature review.",
    author = "Toni Ahonen and Jyri Hanski and Matti Hyv{\"a}rinen and Helena Kortelainen and Teuvo Uusitalo and Henri Vainio and Susanna Kunttu and Kari Koskinen",
    year = "2019",
    month = "1",
    day = "1",
    doi = "10.1007/978-3-319-95711-1_6",
    language = "English",
    isbn = "978-3-319-95710-4",
    series = "Lecture Notes in Mechanical Engineering",
    publisher = "Springer",
    pages = "51--60",
    editor = "J. Mathew and C. Lim and D. Sands and M. Cholette and P. Borghesani",
    booktitle = "Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies",
    address = "Germany",

    }

    Ahonen, T, Hanski, J, Hyvärinen, M, Kortelainen, H, Uusitalo, T, Vainio, H, Kunttu, S & Koskinen, K 2019, Enablers and barriers of smart data-based asset management services in industrial business networks. in J Mathew, C Lim, D Sands, M Cholette & P Borghesani (eds), Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. Springer, Lecture Notes in Mechanical Engineering, pp. 51-60. https://doi.org/10.1007/978-3-319-95711-1_6

    Enablers and barriers of smart data-based asset management services in industrial business networks. / Ahonen, Toni (Corresponding author); Hanski, Jyri; Hyvärinen, Matti; Kortelainen, Helena; Uusitalo, Teuvo; Vainio, Henri (Corresponding author); Kunttu, Susanna; Koskinen, Kari.

    Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. ed. / J. Mathew; C. Lim; D. Sands; M. Cholette; P. Borghesani. Springer, 2019. p. 51-60 (Lecture Notes in Mechanical Engineering).

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

    TY - CHAP

    T1 - Enablers and barriers of smart data-based asset management services in industrial business networks

    AU - Ahonen, Toni

    AU - Hanski, Jyri

    AU - Hyvärinen, Matti

    AU - Kortelainen, Helena

    AU - Uusitalo, Teuvo

    AU - Vainio, Henri

    AU - Kunttu, Susanna

    AU - Koskinen, Kari

    PY - 2019/1/1

    Y1 - 2019/1/1

    N2 - Recent academic research has paid particular attention to how digitalization disrupts current business models and business environments. Furthermore, servitization has gained significant attention. However, so far only a fraction of the wide range of opportunities related to digitalization has been realized. In this paper we aim to better understand the drivers, limitations and stakeholder expectations in different industrial business environments. In the proposed paper, we address digitalization in the area of engineering asset management from the following perspectives: (1) enablers and barriers of digitalized asset management service business, (2) availability and use of data for decision-making support, and (3) changes for business models. We also further contemplate which decision-making situations need to be supported by digital asset services. The paper is based on data received from a company workshop and a literature review.

    AB - Recent academic research has paid particular attention to how digitalization disrupts current business models and business environments. Furthermore, servitization has gained significant attention. However, so far only a fraction of the wide range of opportunities related to digitalization has been realized. In this paper we aim to better understand the drivers, limitations and stakeholder expectations in different industrial business environments. In the proposed paper, we address digitalization in the area of engineering asset management from the following perspectives: (1) enablers and barriers of digitalized asset management service business, (2) availability and use of data for decision-making support, and (3) changes for business models. We also further contemplate which decision-making situations need to be supported by digital asset services. The paper is based on data received from a company workshop and a literature review.

    UR - http://www.scopus.com/inward/record.url?scp=85056662614&partnerID=8YFLogxK

    U2 - 10.1007/978-3-319-95711-1_6

    DO - 10.1007/978-3-319-95711-1_6

    M3 - Chapter or book article

    AN - SCOPUS:85056662614

    SN - 978-3-319-95710-4

    T3 - Lecture Notes in Mechanical Engineering

    SP - 51

    EP - 60

    BT - Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies

    A2 - Mathew, J.

    A2 - Lim, C.

    A2 - Sands, D.

    A2 - Cholette, M.

    A2 - Borghesani, P.

    PB - Springer

    ER -

    Ahonen T, Hanski J, Hyvärinen M, Kortelainen H, Uusitalo T, Vainio H et al. Enablers and barriers of smart data-based asset management services in industrial business networks. In Mathew J, Lim C, Sands D, Cholette M, Borghesani P, editors, Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies: Proceedings of the 12th World Congress on Engineering Asset Management and the 13th International Conference on Vibration Engineering and Technology of Machinery. Springer. 2019. p. 51-60. (Lecture Notes in Mechanical Engineering). https://doi.org/10.1007/978-3-319-95711-1_6