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Enhancing PSS design through big data, IoT and bigdata analytics
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5991-5542
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-8006-3236
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4553-9141
2019 (English)In: Proceedings of the Spring Servitization Conference: Delivering Services Growth in the Digital Era / [ed] Bigdeli, A., Kowalkowski, C., Kindström, D., Baines, T., United Kingdom, 2019, p. 197-205Conference paper, Published paper (Refereed)
Abstract [en]

Purpose: PSS (Product/Service System) is a specific type of offering in servitization and requires a special way of designing to exploit its full potential. Today, thanks to increasing interest in big data, IoT (Internet of Things) and big data analytics (BDA), we are seeing an enormous opportunity to further advance the practice of PSS design and delivery. Now, questions arise as to how these technologies could improve PSS design and delivery: does such a PSS design process already exist that can accommodate various types of incoming big data through IoT? Is there a need to amend existing PSS design processes to exploit the obtained data? At present, no clear answer to these questions can be found in the literature. This conference paper aims to pave the way forward for research in PSS design and show opportunities to improve design and operational practices using big data, IoT and BDA.

Design/Methodology/Approach: The research method adopted is a literature review and analysis. First, PSS design methods and procedures are reviewed in a systematic manner and consolidated as a general PSS design procedure. Second, opportunities for using big data, IoT and BDA to improve PSS design and delivery are identified in the general description. Third, issues for further research and development are presented.

Findings: The review clarifies what, in essence, the literature scientifically informs us about PSS design methods. The common denominator for PSS design methods could be composed of ten steps. Eight out of the ten steps were found to be relevant with use of big data, IoT and BDA. The relevance was also described as pros and cons in terms of quality, cost, and time (delivery).

Originality/Value: First, the paper is one of the earliest high-level reviews of PSS design from the viewpoint of big data, IoT and BDA. Second, it gives a perspective of various possible relations between PSS design and big data, IoT and BDA. Third, the paper presents further scientific and practical research opportunities in this area, building upon insights available in the state of the art of PSS design.

Place, publisher, year, edition, pages
United Kingdom, 2019. p. 197-205
Keywords [en]
Product-Service Systems (PSS), IoT, Big Data, Data Analytics
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-157448ISBN: 9781854494634 (print)OAI: oai:DiVA.org:liu-157448DiVA, id: diva2:1323924
Conference
Spring Servitization Conference, Linköping, Sweden, 13 - 15 May, 2019
Funder
Mistra - The Swedish Foundation for Strategic Environmental Research, DIA 2014/16Available from: 2019-06-12 Created: 2019-06-12 Last updated: 2019-06-20Bibliographically approved

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Sakao, TomohikoLiu, YangNeramballi, Abhijna

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