Home > Research > Publications & Outputs > Continuous cycles of data-enabled design: reima...

Links

Text available via DOI:

View graph of relations

Continuous cycles of data-enabled design: reimagining the IoT development process

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Continuous cycles of data-enabled design: reimagining the IoT development process. / Lee, B.; Cooper, R.; Hands, D. et al.
In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, Vol. 36, e11, 28.02.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Lee, B, Cooper, R, Hands, D & Coulton, P 2022, 'Continuous cycles of data-enabled design: reimagining the IoT development process', Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, vol. 36, e11. https://doi.org/10.1017/S0890060421000299

APA

Lee, B., Cooper, R., Hands, D., & Coulton, P. (2022). Continuous cycles of data-enabled design: reimagining the IoT development process. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, 36, Article e11. https://doi.org/10.1017/S0890060421000299

Vancouver

Lee B, Cooper R, Hands D, Coulton P. Continuous cycles of data-enabled design: reimagining the IoT development process. Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM. 2022 Feb 28;36:e11. Epub 2022 Feb 9. doi: 10.1017/S0890060421000299

Author

Lee, B. ; Cooper, R. ; Hands, D. et al. / Continuous cycles of data-enabled design: reimagining the IoT development process. In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM. 2022 ; Vol. 36.

Bibtex

@article{c9ccfdff091945268bb1897e51c465b4,
title = "Continuous cycles of data-enabled design: reimagining the IoT development process",
abstract = "With the emergence of Internet of Things (IoT) as a new source of big data and value creation, businesses encounter novel opportunities as well as challenges in IoT design. Although recent research argues that digital technology can enable new kinds of development processes that are distinctive from their counterparts in the 20th century, minimal attention has been focused on the IoT design process. In order to contextualize New Product Development (NPD) processes for IoT, this paper comprehensively interrogates existing, and emerging development approaches for products, services, software, and integrated products, and several factors that affect designing IoT. This discussion includes the generic development process, the commonalities and differences of different development approaches, and processes. The paper demonstrates that only a few existing approaches reflect vital characteristics of networked artifacts or the integration of data science within the development model, which is one of the key attributes of IoT design. From these investigations, we propose The Mobius Strip Model of IoT Development ProcessI, a conceptual process for IoT design, which is distinctive to others. The continuous loops of the IoT design integrate the attributes and phases of different processes and consist of two different development approaches and strategies. Understanding the particular attributes of the IoT NPD process can help novice and experienced researchers in both feeding and drawing insight from the broader design discourse. ",
keywords = "Conceptual model, Data-enabled design, IoT, IoT design process, New product development, Internet of things, Product design, Data creation, Design-process, Development approach, Development process, Internet of thing design process, New product development process, New sources, Product development",
author = "B. Lee and R. Cooper and D. Hands and P. Coulton",
year = "2022",
month = feb,
day = "28",
doi = "10.1017/S0890060421000299",
language = "English",
volume = "36",
journal = "Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM",
issn = "1469-1760",
publisher = "Cambridge University Press",

}

RIS

TY - JOUR

T1 - Continuous cycles of data-enabled design: reimagining the IoT development process

AU - Lee, B.

AU - Cooper, R.

AU - Hands, D.

AU - Coulton, P.

PY - 2022/2/28

Y1 - 2022/2/28

N2 - With the emergence of Internet of Things (IoT) as a new source of big data and value creation, businesses encounter novel opportunities as well as challenges in IoT design. Although recent research argues that digital technology can enable new kinds of development processes that are distinctive from their counterparts in the 20th century, minimal attention has been focused on the IoT design process. In order to contextualize New Product Development (NPD) processes for IoT, this paper comprehensively interrogates existing, and emerging development approaches for products, services, software, and integrated products, and several factors that affect designing IoT. This discussion includes the generic development process, the commonalities and differences of different development approaches, and processes. The paper demonstrates that only a few existing approaches reflect vital characteristics of networked artifacts or the integration of data science within the development model, which is one of the key attributes of IoT design. From these investigations, we propose The Mobius Strip Model of IoT Development ProcessI, a conceptual process for IoT design, which is distinctive to others. The continuous loops of the IoT design integrate the attributes and phases of different processes and consist of two different development approaches and strategies. Understanding the particular attributes of the IoT NPD process can help novice and experienced researchers in both feeding and drawing insight from the broader design discourse.

AB - With the emergence of Internet of Things (IoT) as a new source of big data and value creation, businesses encounter novel opportunities as well as challenges in IoT design. Although recent research argues that digital technology can enable new kinds of development processes that are distinctive from their counterparts in the 20th century, minimal attention has been focused on the IoT design process. In order to contextualize New Product Development (NPD) processes for IoT, this paper comprehensively interrogates existing, and emerging development approaches for products, services, software, and integrated products, and several factors that affect designing IoT. This discussion includes the generic development process, the commonalities and differences of different development approaches, and processes. The paper demonstrates that only a few existing approaches reflect vital characteristics of networked artifacts or the integration of data science within the development model, which is one of the key attributes of IoT design. From these investigations, we propose The Mobius Strip Model of IoT Development ProcessI, a conceptual process for IoT design, which is distinctive to others. The continuous loops of the IoT design integrate the attributes and phases of different processes and consist of two different development approaches and strategies. Understanding the particular attributes of the IoT NPD process can help novice and experienced researchers in both feeding and drawing insight from the broader design discourse.

KW - Conceptual model

KW - Data-enabled design

KW - IoT

KW - IoT design process

KW - New product development

KW - Internet of things

KW - Product design

KW - Data creation

KW - Design-process

KW - Development approach

KW - Development process

KW - Internet of thing design process

KW - New product development process

KW - New sources

KW - Product development

U2 - 10.1017/S0890060421000299

DO - 10.1017/S0890060421000299

M3 - Journal article

VL - 36

JO - Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

JF - Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM

SN - 1469-1760

M1 - e11

ER -