Data-intensive IoT new product development: a review and future directions

Elisabeth Häusler, Wolfgang Kremser, Veronika Hornung-Prähauser and Franz Huber

International Journal of Product Development, 2023, vol. 27, issue 3, 265-292

Abstract: Commonly referred to as data-driven product development, incorporating data science into product development to create value out of sensor data is a key challenge and involves unpredictability and invention risk. However, different studies in the current literature rely on different conceptualisations in this interdisciplinary research field, and the literature is scattered. To address this issue, this paper provides a review of recent academic literature on New Product Development (NPD) for the Internet of Things (IoT). The work reveals that distributed literature lacks a standardised process for guiding managers to handle the data product development process of smart products.

Keywords: internet of things; new product development; smart product; data science; sensors; data-intensive; data-based value creation. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.inderscience.com/link.php?id=133068 (text/html)
Open Access

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:ids:ijpdev:v:27:y:2023:i:3:p:265-292

Access Statistics for this article

More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().