A Taxonomy of Industrial IoT Platforms' Architectural Features

被引:7
|
作者
Arnold, Laurin [1 ,2 ]
Joehnk, Jan [1 ,2 ]
Vogt, Florian [1 ]
Urbach, Nils [1 ,2 ,3 ]
机构
[1] Univ Bayreuth, FIM Res Ctr, Bayreuth, Germany
[2] Project Grp Business & Informat Syst Engn Fraunho, Bayreuth, Germany
[3] Frankfurt Univ Appl Sci, Frankfurt, Germany
来源
INNOVATION THROUGH INFORMATION SYSTEMS, VOL III: A COLLECTION OF LATEST RESEARCH ON MANAGEMENT ISSUES | 2021年 / 48卷
关键词
Industrial Internet of Things; IIoT Platforms; Architecture; Taxonomy; Archetypes; INTERNET; THINGS; DESIGN;
D O I
10.1007/978-3-030-86800-0_28
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the industrial Internet of Things (IIoT), the concept of digital platforms has received significant attention. Although IIoT platforms revolve around similar business objectives, they address a variety of use cases and, thus, differ considerably in their architectural setup. While research has already investigated IIoT platforms from a business or design perspective, little is known about their underlying technology stack and its implications. To unveil different IIoT platform configurations and better understand their architectural design, we systematically develop and validate a taxonomy of IIoT platforms' architectural features based on related literature, real-world cases, and expert interviews. On this foundation, we identify and discuss four IIoT platform archetypes. Our findings contribute to the descriptive knowledge in this ambiguous research field, while also elucidating the interplay of IIoT platforms' architectural setup and their purpose. From a managerial viewpoint, our results may guide practitioners in comparing and selecting a suitable IIoT platform.
引用
收藏
页码:404 / 421
页数:18
相关论文
共 50 条
  • [1] IIoT platforms' architectural features - a taxonomy and five prevalent archetypes
    Arnold, Laurin
    Joehnk, Jan
    Vogt, Florian
    Urbach, Nils
    ELECTRONIC MARKETS, 2022, 32 (02) : 927 - 944
  • [2] IIoT platforms’ architectural features – a taxonomy and five prevalent archetypes
    Laurin Arnold
    Jan Jöhnk
    Florian Vogt
    Nils Urbach
    Electronic Markets, 2022, 32 : 927 - 944
  • [3] Taxonomy of Consumer and Industrial IoT
    Alahmadi, Sara
    Rojas, Pablo
    Idriss, Haytham
    Bayoumi, Magdy
    SOUTHEASTCON 2023, 2023, : 418 - 424
  • [4] Consumer, Commercial, and Industrial IoT (In)Security: Attack Taxonomy and Case Studies
    Xenofontos, Christos
    Zografopoulos, Ioannis
    Konstantinou, Charalambos
    Jolfaei, Alireza
    Khan, Muhammad Khurram
    Choo, Kim-Kwang Raymond
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (01) : 199 - 221
  • [5] IoT Platforms and Security: An Analysis of the Leading Industrial/Commercial Solutions
    Fortino, Giancarlo
    Guerrieri, Antonio
    Pace, Pasquale
    Savaglio, Claudio
    Spezzano, Giandomenico
    SENSORS, 2022, 22 (06)
  • [6] An Application Domain-Based Taxonomy for IoT Sensors
    Rozsa, Vitor
    Denisczwicz, Marta
    Dutra, Moises
    Ghodous, Parisa
    da Silva, Catarina Ferreira
    Moayeri, Nader
    Biennier, Frederique
    Figay, Nicolas
    TRANSDISCIPLINARY ENGINEERING: CROSSING BOUNDARIES, 2016, 4 : 249 - 258
  • [7] Blockchain for IoT Applications: Taxonomy, Platforms, Recent Advances, Challenges and Future Research Directions
    Abdelmaboud, Abdelzahir
    Ahmed, Abdelmuttlib Ibrahim Abdalla
    Abaker, Mohammed
    Eisa, Taiseer Abdalla Elfadil
    Albasheer, Hashim
    Ghorashi, Sara Abdelwahab
    Karim, Faten Khalid
    ELECTRONICS, 2022, 11 (04)
  • [8] Challenges of Organizations' Adoption of Industrial IoT Platforms - Results of a Delphi Study
    Arnold, Laurin
    Karnebogen, Philip
    Urbach, Nils
    INTERNATIONAL JOURNAL OF INNOVATION AND TECHNOLOGY MANAGEMENT, 2023,
  • [9] A taxonomy for decision making in IoT systems
    Duran-Polanco, Liliana
    Siller, Mario
    INTERNET OF THINGS, 2023, 24
  • [10] IoT Architectural Concerns: A Systematic Review
    Gill, Asif Qumer
    Behbood, Vahid
    Ramadan-Jradi, Rania
    Beydoun, Ghassan
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON INTERNET OF THINGS, DATA AND CLOUD COMPUTING (ICC 2017), 2017,