The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective

By Daniel Kiel, Christian Arnold, Kai-Ingo Voigt. 2017

387 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/cbc4c14ab074bede492c5d74d97d8383a8d775a1

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In Industrial and Manufacturing Engineering

In Strategy and Management

Citations in the corpus

A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation (2020, background): “This is relevant considering the substantial investment costs in implementing Industry 4.0 based SMS and the limited financing options available to the SMMEs (Gawankar et al., 2020; Kiel et al., 2017a; 2017b).”
Industry 4.0: A Bibliometric Review of Its Managerial Intellectual Structure and Potential Evolution in the Service Industries (2019, methodology): “Since the Industrial IoT largely facilitates customization, Kiel et al. (2017a) argue that the natural consequence might be an individualized service orientation.”
The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “Cyber-physical systems Advanced services (Kiel, Arnold, and Voigt 2017; Lopes de Sousa Jabbour et al. 2018; Strandhagen, Vallandingham, et al. 2017; Weking et al. 2020) Internet of things Customised and advanced services (Anshari et al. 2018; Ardolino et al. 2018; Ardito et al. 2019; Bressanelli et…”
Digitalization and its influence on business model innovation (2019, background): “Furthermore, new revenue models are enabled by Industry 4.0 (e.g. dynamic pricing or pay-by-usage) but, due to customer resistance, few changes are currently taking place (Arnold et al., 2016; Kiel et al., 2017).”
Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective (2020, background): “There has been some fragmented analysis of these barriers (Horváth and Szabó, 2019); for instance, certain authors suggest that the lack of a skilled workforce, conflicts between workers due to changing working environments (Kiel et al., 2017; Müller and Voigt, 2017), shortage of financial resources”
Industry 4.0: a supply chain innovation perspective (2020, background): “Kiel, Arnold, and Voigt (2017) find that i4.”
Internet of Things and Big Data as enablers for business digitalization strategies (2020, background): “It is extremely influential in the manufacturing industry, for instance, where it facilitates production strategies and communication among a large number of instruments and machines (Kiel et al., 2017).”