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Impact of IIoT based technologies on characteristic features and related options of nonownership business models

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProduct Lifecycle Management in the Digital Twin Era
Subtitle of host publicationPLM 2019: IFIP International Conference on Product Lifecycle Management
EditorsClement Fortin, Louis Rivest, Alain Bernard, Abdelaziz Bouras
PublisherSpringer, Cham
Pages302-312
Number of pages11
ISBN (Electronic)978-3-030-42250-9
ISBN (Print)978-3-030-42249-3
DOIs
Publication statusPublished - 28 Feb 2020
Publication typeA4 Article in a conference publication
EventIFIP International Conference on Product Lifecycle Management - Moscow
Duration: 8 Jul 201912 Jul 2019

Publication series

NameIFIP Advances in Information and Communication Technology
Volume565
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

ConferenceIFIP International Conference on Product Lifecycle Management
CityMoscow
Period8/07/1912/07/19

Abstract

Industrial internet of things (IIoT) can positively impact business from the process and the technical perspective. There is a limited understanding of the impact of IIoT on business models in general especially the novel nonownership business models (NOBMs). In this paper we analyze the literature, especially case study literature, to understand the impact of IIoT based technologies and related features on the NOBMs using a morphological box (developed by Lay et al. [4]) as a framework. We understood that IIoT- enabled technologies enables the implementation of a larger variety of NOBMs, such as, the pay-per-use, pay-per-output and pay-per-outcome business models, as well as a variety of options related to them. We also realized that there is a need to develop a morphological box for capital intensive manufacturing companies by developing new characteristic features and related options that can take IIoT enabled technologies.

Publication forum classification

Field of science, Statistics Finland