Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Data-driven servitization of SMEs : assessment of success factors based on a multiple case study
Authors: Schweiger, Lukas
Meierhofer, Jürg
et. al: No
Proceedings: Servitization 2019: 8th International Conference on Business Servitization (ICBS 2019), November 21-22, 2019 : book of abstracts
Pages: 85
Pages to: 88
Conference details: 8th International Conference on Business Servitization (ICBS), San Sebastian, Spain, November 21-22, 2019
Issue Date: Nov-2019
Publisher / Ed. Institution: OmniaScience
Language: English
Subjects: Smart service; Data-driven servitization; SME; Multiple case study
Subject (DDC): 658.5: Production management
Abstract: It is challenging for small and medium-sized enterprises (SMEs) to successfully adopt the concepts of servitization of manufacturing. This is because many of the concepts and approaches of servitization have been designed for larger companies (Hewitt-Dundas, 2006). It is considerably more demanding for SMEs to develop the necessary resources (Neely, 2008) in the area of data capabilities for services (Meierhofer et al., 2019). The lack of consideration of servitization research in the SME area is discussed in (Kowalkowski et al., 2015). This paper discusses the hurdles that SMEs face in data-driven servitization by means of a multiple case study. For the creation of the cases, data-driven servitization approaches for different types of manufacturing SMEs were developed based on the key question: How can SMEs undertake first steps in the development of data-driven services against the background of their limited resources and capabilities?
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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