Bootstrapping Product-Service Business: An Experimental Data-Driven Approach

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

Resumé

Digital servitization is gradually having the operational impacts in conventional B2B manufacturing firms, because the firms’ operational focus needs to move towards product-service excellence. In this particular scenario, practitioners experience the causality dilemma and are often trapped in so-called servitization paradox. This experimental study intends to demonstrate how to overcome such dilemma. A data-driven approach is used to provide solid evidences about business potentials to be considered when taking on further operational actions. Design science research method is used to develop a product-service platform. Taking with the service-dominant (S-D) logic thinking, we consolidate the heterogeneous data, from the internal ERP system and the external Internet of Things/Internet of Services platforms. The intention is to promote product-service thinking cross the organization through this platform and recognize value-adding tasks to pursue product-service business goals. Our approach was tested with industrial data from a Danish manufacturing firm.
OriginalsprogEngelsk
TidsskriftThe XXX ISPIM INNOVATION CONFERENCE
StatusAccepteret/In press - jun. 2019
BegivenhedXXX ISPIM Innovation Conference
: Celebrating Innovation - 500 Years Since Da Vinc
- Florence, Italien
Varighed: 16 jun. 201919 jun. 2019
https://www.ispim-innovation.com/

Konference

KonferenceXXX ISPIM Innovation Conference
LandItalien
ByFlorence
Periode16/06/201919/06/2019
Internetadresse

Fingerprint

Enterprise resource planning
Industry
Internet
Internet of things

Citer dette

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title = "Bootstrapping Product-Service Business: An Experimental Data-Driven Approach",
abstract = "Digital servitization is gradually having the operational impacts in conventional B2B manufacturing firms, because the firms’ operational focus needs to move towards product-service excellence. In this particular scenario, practitioners experience the causality dilemma and are often trapped in so-called servitization paradox. This experimental study intends to demonstrate how to overcome such dilemma. A data-driven approach is used to provide solid evidences about business potentials to be considered when taking on further operational actions. Design science research method is used to develop a product-service platform. Taking with the service-dominant (S-D) logic thinking, we consolidate the heterogeneous data, from the internal ERP system and the external Internet of Things/Internet of Services platforms. The intention is to promote product-service thinking cross the organization through this platform and recognize value-adding tasks to pursue product-service business goals. Our approach was tested with industrial data from a Danish manufacturing firm.",
keywords = "digital servitization, advanced services, digitalization, design science research, a data-driven approach",
author = "Kuan-Lin Chen and Chen LI and Charles M{\o}ller",
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journal = "The XXX ISPIM INNOVATION CONFERENCE",
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}

Bootstrapping Product-Service Business: An Experimental Data-Driven Approach. / Chen, Kuan-Lin; LI, Chen; Møller, Charles.

I: The XXX ISPIM INNOVATION CONFERENCE, 06.2019.

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

TY - GEN

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AU - Møller, Charles

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N2 - Digital servitization is gradually having the operational impacts in conventional B2B manufacturing firms, because the firms’ operational focus needs to move towards product-service excellence. In this particular scenario, practitioners experience the causality dilemma and are often trapped in so-called servitization paradox. This experimental study intends to demonstrate how to overcome such dilemma. A data-driven approach is used to provide solid evidences about business potentials to be considered when taking on further operational actions. Design science research method is used to develop a product-service platform. Taking with the service-dominant (S-D) logic thinking, we consolidate the heterogeneous data, from the internal ERP system and the external Internet of Things/Internet of Services platforms. The intention is to promote product-service thinking cross the organization through this platform and recognize value-adding tasks to pursue product-service business goals. Our approach was tested with industrial data from a Danish manufacturing firm.

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