Industrial Internet of Things (IIoT) Business Model Classification

Herbert Endres, Marta Indulska, Arunava Ghosh, Abayomi Baiyere, Stefan Broser

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Currently, there is a mismatch between the potential and the reality of capturing value from the Industrial Internet of Things (IIoT). Furthermore, the lack of empirical guidance on appropriate IIoT business models isn’t helping to address this mismatch. Based on a content analysis of IIoT projects from entrepreneurial firms and incumbents, which we collected from 1,043 publications in industry trade magazines and newspapers over a six-year period (2011-2017), this article identifies IIoT-specific business model elements and archetypes. Our study provides two main contributions. First, our analysis enables a broad understanding of IIoT business models in practice by taking into account different perspectives. Our findings reveal different business model archetypes in the context of IIoT, namely: IIoT digical, IIoT service-centered, IIoT data-driven, and IIoT platform. Second, we derive specific management implications for capturing value from IIoT business models based on our exploration of IIoT business model elements.
Original languageEnglish
Title of host publicationProceedings of the 40th International Conference on Information Systems (ICIS)
EditorsHelmut Krcmar, Jane Fedorowicz, Wai Fong Boh, Jan Marco Leimeister, Sunil Wattal
Number of pages16
Place of PublicationAtlanta, GA
PublisherAIS Electronic Library (AISeL)
Publication date2019
Article number2988
ISBN (Electronic)9780996683197
Publication statusPublished - 2019
EventThe 40th International Conference on Information Systems. ICIS 2019: Information Systems - The Heart of Innovation Ecosystems - International Congress Center Munich (ICM), Munich, Germany
Duration: 15 Dec 201918 Dec 2019
Conference number: 40
https://icis2019.aisconferences.org/

Conference

ConferenceThe 40th International Conference on Information Systems. ICIS 2019
Number40
LocationInternational Congress Center Munich (ICM)
CountryGermany
CityMunich
Period15/12/201918/12/2019
Internet address
SeriesProceedings of the International Conference on Information Systems
ISSN0000-0033

Keywords

  • Industrial Internet of Things (IIoT)
  • Industry 4.0
  • Business model classification
  • Content analysis

Cite this

Endres, H., Indulska, M., Ghosh, A., Baiyere, A., & Broser, S. (2019). Industrial Internet of Things (IIoT) Business Model Classification. In H. Krcmar, J. Fedorowicz, W. F. Boh, J. M. Leimeister, & S. Wattal (Eds.), Proceedings of the 40th International Conference on Information Systems (ICIS) [2988] Atlanta, GA: AIS Electronic Library (AISeL). Proceedings of the International Conference on Information Systems
Endres, Herbert ; Indulska, Marta ; Ghosh, Arunava ; Baiyere, Abayomi ; Broser, Stefan. / Industrial Internet of Things (IIoT) Business Model Classification. Proceedings of the 40th International Conference on Information Systems (ICIS). editor / Helmut Krcmar ; Jane Fedorowicz ; Wai Fong Boh ; Jan Marco Leimeister ; Sunil Wattal. Atlanta, GA : AIS Electronic Library (AISeL), 2019. (Proceedings of the International Conference on Information Systems).
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abstract = "Currently, there is a mismatch between the potential and the reality of capturing value from the Industrial Internet of Things (IIoT). Furthermore, the lack of empirical guidance on appropriate IIoT business models isn’t helping to address this mismatch. Based on a content analysis of IIoT projects from entrepreneurial firms and incumbents, which we collected from 1,043 publications in industry trade magazines and newspapers over a six-year period (2011-2017), this article identifies IIoT-specific business model elements and archetypes. Our study provides two main contributions. First, our analysis enables a broad understanding of IIoT business models in practice by taking into account different perspectives. Our findings reveal different business model archetypes in the context of IIoT, namely: IIoT digical, IIoT service-centered, IIoT data-driven, and IIoT platform. Second, we derive specific management implications for capturing value from IIoT business models based on our exploration of IIoT business model elements.",
keywords = "Industrial Internet of Things (IIoT), Industry 4.0, Business model classification, Content analysis, Industrial Internet of Things (IIoT), Industry 4.0, Business model classification, Content analysis",
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Endres, H, Indulska, M, Ghosh, A, Baiyere, A & Broser, S 2019, Industrial Internet of Things (IIoT) Business Model Classification. in H Krcmar, J Fedorowicz, WF Boh, JM Leimeister & S Wattal (eds), Proceedings of the 40th International Conference on Information Systems (ICIS)., 2988, AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the International Conference on Information Systems, Munich, Germany, 15/12/2019.

Industrial Internet of Things (IIoT) Business Model Classification. / Endres, Herbert; Indulska, Marta; Ghosh, Arunava; Baiyere, Abayomi; Broser, Stefan.

Proceedings of the 40th International Conference on Information Systems (ICIS). ed. / Helmut Krcmar; Jane Fedorowicz; Wai Fong Boh; Jan Marco Leimeister; Sunil Wattal. Atlanta, GA : AIS Electronic Library (AISeL), 2019. 2988 (Proceedings of the International Conference on Information Systems).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Industrial Internet of Things (IIoT) Business Model Classification

AU - Endres, Herbert

AU - Indulska, Marta

AU - Ghosh, Arunava

AU - Baiyere, Abayomi

AU - Broser, Stefan

PY - 2019

Y1 - 2019

N2 - Currently, there is a mismatch between the potential and the reality of capturing value from the Industrial Internet of Things (IIoT). Furthermore, the lack of empirical guidance on appropriate IIoT business models isn’t helping to address this mismatch. Based on a content analysis of IIoT projects from entrepreneurial firms and incumbents, which we collected from 1,043 publications in industry trade magazines and newspapers over a six-year period (2011-2017), this article identifies IIoT-specific business model elements and archetypes. Our study provides two main contributions. First, our analysis enables a broad understanding of IIoT business models in practice by taking into account different perspectives. Our findings reveal different business model archetypes in the context of IIoT, namely: IIoT digical, IIoT service-centered, IIoT data-driven, and IIoT platform. Second, we derive specific management implications for capturing value from IIoT business models based on our exploration of IIoT business model elements.

AB - Currently, there is a mismatch between the potential and the reality of capturing value from the Industrial Internet of Things (IIoT). Furthermore, the lack of empirical guidance on appropriate IIoT business models isn’t helping to address this mismatch. Based on a content analysis of IIoT projects from entrepreneurial firms and incumbents, which we collected from 1,043 publications in industry trade magazines and newspapers over a six-year period (2011-2017), this article identifies IIoT-specific business model elements and archetypes. Our study provides two main contributions. First, our analysis enables a broad understanding of IIoT business models in practice by taking into account different perspectives. Our findings reveal different business model archetypes in the context of IIoT, namely: IIoT digical, IIoT service-centered, IIoT data-driven, and IIoT platform. Second, we derive specific management implications for capturing value from IIoT business models based on our exploration of IIoT business model elements.

KW - Industrial Internet of Things (IIoT)

KW - Industry 4.0

KW - Business model classification

KW - Content analysis

KW - Industrial Internet of Things (IIoT)

KW - Industry 4.0

KW - Business model classification

KW - Content analysis

M3 - Article in proceedings

T3 - Proceedings of the International Conference on Information Systems

BT - Proceedings of the 40th International Conference on Information Systems (ICIS)

A2 - Krcmar, Helmut

A2 - Fedorowicz, Jane

A2 - Boh, Wai Fong

A2 - Leimeister, Jan Marco

A2 - Wattal, Sunil

PB - AIS Electronic Library (AISeL)

CY - Atlanta, GA

ER -

Endres H, Indulska M, Ghosh A, Baiyere A, Broser S. Industrial Internet of Things (IIoT) Business Model Classification. In Krcmar H, Fedorowicz J, Boh WF, Leimeister JM, Wattal S, editors, Proceedings of the 40th International Conference on Information Systems (ICIS). Atlanta, GA: AIS Electronic Library (AISeL). 2019. 2988. (Proceedings of the International Conference on Information Systems).