Publication type: Conference paper
Type of review: Peer review (publication)
Title: Smart service patterns for small manufacturing enterprises
Authors: Meierhofer, Jürg
Dobler, Martin
Frick, Klaus
Schweiger, Lukas
et. al: No
Proceedings: Proceedings of the Spring Servitization Conference : Advanced Services for Sustainability and Growth
Editors of the parent work: Bigdeli, Ali
Baines, Tim
Pages: 88
Pages to: 95
Conference details: Spring Servitization Conference "Advanced Services for Sustainability and Growth", Online, 14-16 September 2020
Issue Date: Sep-2020
Publisher / Ed. Institution: Aston University
Publisher / Ed. Institution: Birmingham
ISBN: 978-1-85449-429-0
Language: English
Subjects: Servitization; Smart service; SME; Rapid service prototyping; Data science
Subject (DDC): 005: Computer programming, programs and data
658: General Management
Abstract: Purpose: This paper provides patterns for developing smart services for SMEs which are at an early stage of their development towards data-driven servitization. Design/Methodology/Approach: Based on a field study analysing the hurdles of SMEs regarding the introduction of smart services as a start of the transformation towards servitization, viable and desirable approaches were elaborated in a multiple case study including rapid prototyping. Findings: These patterns are well suited to demonstrate the business benefit of smart services while providing evidence that the underlying complexity is sufficiently low for the implementation by SMEs with adequate effort. Originality/Value: The study described in this paper provides a set of patterns that complements the existing theory in terms of delivering viable servitization procedures for manufacturing SMEs. They serve as blueprints for small enterprises to overcome the entry hurdle for servitization. SMEs are equipped with blueprints and tools to help them enter the field of smart services and create value for themselves and their customers.
URI: https://digitalcollection.zhaw.ch/handle/11475/20490
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)
Published as part of the ZHAW project: Data Science für KMU (Data4KMU)
Appears in Collections:Publikationen School of Engineering

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