Industry 4.0 as an Enabler of Servitization in the Plant Engineering Business: Literature Review and Development of a Conceptual Research Model

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Industry 4.0 as an Enabler of Servitization in the Plant Engineering Business: Literature Review and Development of a Conceptual Research Model. / Ruff, Maxim; Woschank, Manuel.
in: Procedia computer science, Jahrgang 200, 08.03.2022, S. 833–842.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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@article{3a328b62c1f04cfb88ba062c0779c0ba,
title = "Industry 4.0 as an Enabler of Servitization in the Plant Engineering Business: Literature Review and Development of a Conceptual Research Model",
abstract = "Industry 4.0 technologies and technological concepts can be considered as a starting point to strengthen the long-term competitiveness of modern enterprises. In this context, only a handful of recent studies consider the importance of professional Industry 4.0-driven servitization and, therefore, investigate the causal relationship between servitization and company performance. This paper aims to preliminary scrutinize a set of influencing factors that are required to build organizational competence in servitization. Based on the theories of market-based view (MBV), the resource-based view (RBV), and theories on dynamic capabilities (DC), the authors introduce the constructs of digitization and ICT and networks and relationships as success factors for the company´s competence in servitization. Moreover, the proposed conceptual model serves as a foundation for further multivariate analyses in the empirical environment of the plant engineering business.",
author = "Maxim Ruff and Manuel Woschank",
year = "2022",
month = mar,
day = "8",
doi = "10.1016/j.procs.2022.01.280",
language = "English",
volume = "200",
pages = "833–842",
journal = " Procedia computer science",
issn = "1877-0509",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Industry 4.0 as an Enabler of Servitization in the Plant Engineering Business

T2 - Literature Review and Development of a Conceptual Research Model

AU - Ruff, Maxim

AU - Woschank, Manuel

PY - 2022/3/8

Y1 - 2022/3/8

N2 - Industry 4.0 technologies and technological concepts can be considered as a starting point to strengthen the long-term competitiveness of modern enterprises. In this context, only a handful of recent studies consider the importance of professional Industry 4.0-driven servitization and, therefore, investigate the causal relationship between servitization and company performance. This paper aims to preliminary scrutinize a set of influencing factors that are required to build organizational competence in servitization. Based on the theories of market-based view (MBV), the resource-based view (RBV), and theories on dynamic capabilities (DC), the authors introduce the constructs of digitization and ICT and networks and relationships as success factors for the company´s competence in servitization. Moreover, the proposed conceptual model serves as a foundation for further multivariate analyses in the empirical environment of the plant engineering business.

AB - Industry 4.0 technologies and technological concepts can be considered as a starting point to strengthen the long-term competitiveness of modern enterprises. In this context, only a handful of recent studies consider the importance of professional Industry 4.0-driven servitization and, therefore, investigate the causal relationship between servitization and company performance. This paper aims to preliminary scrutinize a set of influencing factors that are required to build organizational competence in servitization. Based on the theories of market-based view (MBV), the resource-based view (RBV), and theories on dynamic capabilities (DC), the authors introduce the constructs of digitization and ICT and networks and relationships as success factors for the company´s competence in servitization. Moreover, the proposed conceptual model serves as a foundation for further multivariate analyses in the empirical environment of the plant engineering business.

U2 - 10.1016/j.procs.2022.01.280

DO - 10.1016/j.procs.2022.01.280

M3 - Article

VL - 200

SP - 833

EP - 842

JO - Procedia computer science

JF - Procedia computer science

SN - 1877-0509

ER -