The University of Southampton
University of Southampton Institutional Repository

Towards a methodology for modelling interdependencies between partners in digital business ecosystems

Towards a methodology for modelling interdependencies between partners in digital business ecosystems
Towards a methodology for modelling interdependencies between partners in digital business ecosystems
Digital business ecosystems rely on interdependencies for value co-creation. Thus, the success of a digital business ecosystem is inextricably linked to how well interactions are understood, aligned, and supported. Therefore, it is essential to comprehensively understand the interdependence types, structure, substances, and participants in digital business ecosystems. However, in information systems research, limited understanding exists on how to model interdependencies in digital business ecosystems. This paper seeks to fill this gap by developing an interdependence modelling methodology that provides a systematic approach to capture and represent interdependencies in digital business ecosystems. To demonstrate the potential of the methodology, we illustrate its applicability through a case study of Ghana’s import digital business ecosystem
IEEE
Senyo, PK
b2150f66-8ef9-48f7-af32-3b055d4fa691
Liu, Kecheng
587089ac-7e79-439d-89e7-e833ea533e6f
Effah, John
6a53c9ac-9aa3-444b-8cf9-c7a7118a540e
Senyo, PK
b2150f66-8ef9-48f7-af32-3b055d4fa691
Liu, Kecheng
587089ac-7e79-439d-89e7-e833ea533e6f
Effah, John
6a53c9ac-9aa3-444b-8cf9-c7a7118a540e

Senyo, PK, Liu, Kecheng and Effah, John (2017) Towards a methodology for modelling interdependencies between partners in digital business ecosystems. In 2017 International Conference on Logistics, Informatics and Service Sciences (LISS). IEEE..

Record type: Conference or Workshop Item (Paper)

Abstract

Digital business ecosystems rely on interdependencies for value co-creation. Thus, the success of a digital business ecosystem is inextricably linked to how well interactions are understood, aligned, and supported. Therefore, it is essential to comprehensively understand the interdependence types, structure, substances, and participants in digital business ecosystems. However, in information systems research, limited understanding exists on how to model interdependencies in digital business ecosystems. This paper seeks to fill this gap by developing an interdependence modelling methodology that provides a systematic approach to capture and represent interdependencies in digital business ecosystems. To demonstrate the potential of the methodology, we illustrate its applicability through a case study of Ghana’s import digital business ecosystem

Text
Modelling DBE - Accepted Manuscript
Download (324kB)

More information

Published date: 2017

Identifiers

Local EPrints ID: 438649
URI: http://eprints.soton.ac.uk/id/eprint/438649
PURE UUID: de3f848c-c37b-4bf4-a98c-7f42e08586be
ORCID for PK Senyo: ORCID iD orcid.org/0000-0001-7126-3826

Catalogue record

Date deposited: 20 Mar 2020 17:30
Last modified: 17 Mar 2024 04:01

Export record

Contributors

Author: PK Senyo ORCID iD
Author: Kecheng Liu
Author: John Effah

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×