Value-driven partner search for Energy from Waste projects

Aba-Sah Dadzie, Victoria S Uren, Tim Miller, Al-Amin Abba Dabo

Research output: Contribution to journalConference article

Abstract

Energy from Waste (EfW) projects require complex value chains to operate effectively. To identify business partners, plant operators need to network with organisations whose strategic objectives are aligned with their own. Supplier organisations need to work out where they fit in the value chain. Our aim is to support people in identifying potential business partners, based on their organisation’s interpretation of value. Value for an organisation should reflect its strategy and may be interpreted using key priorities and KPIs (key performance indicators). KPIs may comprise any or all of knowledge, operational, economic, social and convenience indicators. This paper presents an ontology for modelling and prioritising connections within the business environment, and in the process provides means for defining value and mapping these to corresponding KPIs. The ontology is used to guide the design of a visual representation of the environment to aid partner search.
Original languageEnglish
Pages (from-to)21-32
Number of pages12
JournalProcedia Computer Science
Volume137
Publication statusPublished - 18 Oct 2018
EventSEMANTiCS 2018 – 14th International Conference on Semantic Systems - Vienna, Austria
Duration: 10 Sep 201813 Sep 2018

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Bibliographical note

© 2018 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Cite this

Dadzie, A-S., Uren, V. S., Miller, T., & Abba Dabo, A-A. (2018). Value-driven partner search for Energy from Waste projects. Procedia Computer Science, 137, 21-32.
Dadzie, Aba-Sah ; Uren, Victoria S ; Miller, Tim ; Abba Dabo, Al-Amin. / Value-driven partner search for Energy from Waste projects. In: Procedia Computer Science. 2018 ; Vol. 137. pp. 21-32.
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Dadzie, A-S, Uren, VS, Miller, T & Abba Dabo, A-A 2018, 'Value-driven partner search for Energy from Waste projects', Procedia Computer Science, vol. 137, pp. 21-32.

Value-driven partner search for Energy from Waste projects. / Dadzie, Aba-Sah; Uren, Victoria S; Miller, Tim; Abba Dabo, Al-Amin.

In: Procedia Computer Science, Vol. 137, 18.10.2018, p. 21-32.

Research output: Contribution to journalConference article

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T1 - Value-driven partner search for Energy from Waste projects

AU - Dadzie, Aba-Sah

AU - Uren, Victoria S

AU - Miller, Tim

AU - Abba Dabo, Al-Amin

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PY - 2018/10/18

Y1 - 2018/10/18

N2 - Energy from Waste (EfW) projects require complex value chains to operate effectively. To identify business partners, plant operators need to network with organisations whose strategic objectives are aligned with their own. Supplier organisations need to work out where they fit in the value chain. Our aim is to support people in identifying potential business partners, based on their organisation’s interpretation of value. Value for an organisation should reflect its strategy and may be interpreted using key priorities and KPIs (key performance indicators). KPIs may comprise any or all of knowledge, operational, economic, social and convenience indicators. This paper presents an ontology for modelling and prioritising connections within the business environment, and in the process provides means for defining value and mapping these to corresponding KPIs. The ontology is used to guide the design of a visual representation of the environment to aid partner search.

AB - Energy from Waste (EfW) projects require complex value chains to operate effectively. To identify business partners, plant operators need to network with organisations whose strategic objectives are aligned with their own. Supplier organisations need to work out where they fit in the value chain. Our aim is to support people in identifying potential business partners, based on their organisation’s interpretation of value. Value for an organisation should reflect its strategy and may be interpreted using key priorities and KPIs (key performance indicators). KPIs may comprise any or all of knowledge, operational, economic, social and convenience indicators. This paper presents an ontology for modelling and prioritising connections within the business environment, and in the process provides means for defining value and mapping these to corresponding KPIs. The ontology is used to guide the design of a visual representation of the environment to aid partner search.

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Dadzie A-S, Uren VS, Miller T, Abba Dabo A-A. Value-driven partner search for Energy from Waste projects. Procedia Computer Science. 2018 Oct 18;137:21-32.