Open Access
IoT powered servitization of manufacturing – an exploratory case study
Anna Rymaszewska,Petri Helo,Angappa Gunasekaran +2 more
- 01 Oct 2017
352
TL;DR: This paper seeks to address how servitisation can utilise the third wave of Internet development, referred to as the Internet of Things (IoT), which may unlock the potential for innovative product-service systems on an unprecedented scale.
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Abstract: More than ever companies are challenged to rethink their offerings while simultaneously being provided with a unique opportunity for creating or recreating their product-service systems. This paper seeks to address how servitisation can utilise the third wave of Internet development, referred to as the Internet of Things (IoT), which may unlock the potential for innovative product-service systems on an unprecedented scale. By providing an analysis of this technological breakthrough and the literature on servitisation, these concepts are combined to address the question of how organisations offering product-service systems can reap the benefits that the IoT. An analysis of three successful IoT implementation cases in manufacturing companies, representing different industry sectors such as metal processing, power generation and distribution, is provided. The results of the empirical research presented in the paper provide an insight into different ways of creating value in servitisation. The paper also proposes a framework that is aimed at proving a better understanding of how companies can create value, and add it to their servitisation processes with, the data obtained by the IoT based solutions. From the value chain perspective, IoT aided servitisation enables organisations to extend their value chains in order better serve their customers which, in turn, might result in increased profitability. The article proposes further research avenues, and offers valuable insight for practitioners.
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Citations
Advanced Machine Learning for Enterprise IoT Modeling
N. Deepa,B. Prabadevi +1 more
- 01 Jan 2020
TL;DR: In this paper, the authors have discussed the importance of business forecast for an enterprise and how it is achieved via various techniques for the business forecast are discussed and the advanced machine learning algorithms that can be employed in a different perspective of enterprise IoT and their applications are presented.
5
A Digital Circular Economy for Smart Cities
Kannikar Khaw-ngern,Lampong Klomkul,Prateep Peuchthonglang,Chainarong Khaw-ngern +3 more
- 29 Jan 2021
TL;DR: In this paper, the authors examined the role of digital technology in solving complexity in circular economy and how its functionalities in circular business models and showed that digital technologies can be mainly used for data collection, data exchange, data storage, and data analysis.
Transição para servitização: uma revisão estruturada da literatura
TL;DR: In this article, a processo de selecao do conjunto de publicacoes for analise resultou em 50 artigos em consonância com o tema de pesquisa nas bases of Web of Science, Scopus e ScienceDirect.
The influence of home-country institutions on servitization
TL;DR: In this article, the authors explored the influence of formal institutions of the product, financial and labor markets on the servitization of two firms operating in a developed country and two in an emerging country.
4
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