The Progression of Iot Business Model Types: Implications for Supply Chain Management

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Abstract

The current study investigates the progression of Internet of Things (IoT) business models and their implications for supply chain management (SCM). It reviews the existing literature to gain new insights, and through a systematic process identifies three distinct IoT business model types: connectivity, servitization, and data ecosystems. The study delineates how these models leverage IoT to form new business models and what SCM implications can be realized. The connectivity type focuses on data-driven monitoring and connection between devices, users, and firms; the servitization type shifts focus from product to service offerings to enhance the core offerings and operational flexibility, and the data ecosystem type addresses interconnectedness and collaborative innovation. The findings contribute to the theoretical views on the intersection of business models and SCM, particularly in the context of IoT. It also offers insights for businesses aiming to utilize IoT technologies to transform their business models and improve their SCM.
Original languageEnglish
Title of host publicationProceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025
EditorsTung X. Bui
Number of pages10
Place of PublicationHonolulu
PublisherHawaii International Conference on System Sciences (HICSS)
Publication date2025
Pages4139-4148
ISBN (Print)9780998133188
Publication statusPublished - 2025
EventThe 58th Hawaii International Conference on System Sciences. HICSS 2025 - Hilton Waikoloa Village, Waikoloa, United States
Duration: 7 Jan 202510 Jan 2025
Conference number: 58
https://hicss.hawaii.edu/

Conference

ConferenceThe 58th Hawaii International Conference on System Sciences. HICSS 2025
Number58
LocationHilton Waikoloa Village
Country/TerritoryUnited States
CityWaikoloa
Period07/01/202510/01/2025
SponsorNational Security Agency, University of Hawaii at Manoa, Association for Information Systems, MyEducator
Internet address
SeriesProceedings of the Annual Hawaii International Conference on System Sciences
ISSN2572-6862

Keywords

  • Digital supply chain of the future
  • Applications
  • Implications
  • Business models
  • Data-driven value creation
  • Data ecosystems
  • IoT business model
  • Supply chain management
  • Systematic review

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