Internet of Management Artifacts: Internet of Things Architecture for Business Model Renewal

Clarissa Rocha, Clariana Fernandes Narcizo and Enrico Gianotti

Chapter 12 in Emerging Issues and Trends in Innovation and Technology Management, 2021, pp 297-316 from World Scientific Publishing Co. Pte. Ltd.

Abstract: In the information and knowledge era, organizations must find ways to survive and remain up-to-date and competitive to face a dynamic environment. The still dominant paradigm regarding the Internet of Things (IoT) focuses more on tangible things and physical devices and less on management and business environment. There is a lack of studies that clarify how the IoT can help business management to create perceived value for the company. The aim of this study is to propose a framework called the Internet of Management Artifact (IoMA) to understand how the IoT ecosystem can support managerial decision-making. Considering that this field of research lacks the empirical evidence that more transparently narrows the relationship between IoT and organizational management, we opted for a framework based on Design Search Research. The main contribution of this study is the proposition of the IoMA framework, which seeks a paradigm shift, changing from a paradigm centered on “things” and physical devices in the information technology architecture that remains dominant in the literature to a paradigm focused on business management. The study highlights how decision-makers can exploit IoT architecture, which provides them with rich, accurate and relevant information to promote business reconfiguration and thus capitalize on these renewals.

Keywords: Radical Innovations; Innnovation Development Methods; Lead User Workshop; Disruptive Innovaton; Uber; IoT Ecosystem; New Product Development; Cross-industry Innovation; Boundary Spanning; Agile-Stage-Gate Hybrid Model (search for similar items in EconPapers)
JEL-codes: O31 O32 O33 O36 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789811247729_0012 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789811247729_0012 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789811247729_0012

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().