Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework

Prince Kwame Senyo; Kecheng Liu; John Effah

doi:10.1007/978-3-319-94709-9_21

Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework

Prince Kwame Senyo, Kecheng Liu, John Effah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Digital business ecosystem (DBE) is a collaborative network of organisations, processes and technologies that collectively create value. Thus, value creation in DBEs is jointly undertaken by multiple human and digital agents. To aid appropriate apportionment of work and design of information systems, it is essential to understand behaviour of both human and digital agents. However limited attention has been paid to agents’ behaviour in the extant DBEs literature. Moreover, multi-agent research has also largely focused on technical issues while limited research exists on agents’ behaviour. As such, in this paper, we develop a framework to understand behaviour patterns of multi-agent in DBEs. This framework builds its foundation on the theoretical lens of Organisational Semiotics, a sociotechnical theory towards contribution to DBE research.

Original language	English
Title of host publication	Advances in Human Factors, Business Management and Society
Subtitle of host publication	Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA
Editors	Jussi Ilari Kantola, Salman Nazir, Tibor Barath
Publisher	Springer
Pages	206-217
ISBN (Electronic)	978-3-319-94709-9
ISBN (Print)	978-3-319-94708-2
DOIs	https://doi.org/10.1007/978-3-319-94709-9_21
Publication status	Published - Jan 2019
Event	9th International Conference on Human Factors, Business Management and Society - Orlando, United States Duration: 21 Jul 2018 → 25 Jul 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer
Volume	783
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	9th International Conference on Human Factors, Business Management and Society
Abbreviated title	AHFE 2018
Country/Territory	United States
City	Orlando
Period	21/07/18 → 25/07/18

Keywords

Behaviour analysis framework
Multi-agent behaviour
Digital business ecosystem (DBE)
Organisational semiotics
Social and digital agents

Access to Document

10.1007/978-3-319-94709-9_21

SENYO_cright_Understanding Behaviour Patterns of Multi-Agents in Digital Business Ecosystems
The final authenticated version is available online at: http://dx.doi.org/10.1007%2F978-3-319-94709-9_21.
Accepted author manuscript (Post-print), 271 KB

http://link.springer.com/10.1007/978-3-319-94709-9_21

Cite this

Senyo, P. K., Liu, K., & Effah, J. (2019). Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework. In J. I. Kantola, S. Nazir, & T. Barath (Eds.), Advances in Human Factors, Business Management and Society: Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA (pp. 206-217). Article Chapter 21 (Advances in Intelligent Systems and Computing; Vol. 783). Springer. https://doi.org/10.1007/978-3-319-94709-9_21

Senyo, Prince Kwame ; Liu, Kecheng ; Effah, John. / Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework. Advances in Human Factors, Business Management and Society: Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA. editor / Jussi Ilari Kantola ; Salman Nazir ; Tibor Barath. Springer, 2019. pp. 206-217 (Advances in Intelligent Systems and Computing).

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title = "Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework",

abstract = "Digital business ecosystem (DBE) is a collaborative network of organisations, processes and technologies that collectively create value. Thus, value creation in DBEs is jointly undertaken by multiple human and digital agents. To aid appropriate apportionment of work and design of information systems, it is essential to understand behaviour of both human and digital agents. However limited attention has been paid to agents{\textquoteright} behaviour in the extant DBEs literature. Moreover, multi-agent research has also largely focused on technical issues while limited research exists on agents{\textquoteright} behaviour. As such, in this paper, we develop a framework to understand behaviour patterns of multi-agent in DBEs. This framework builds its foundation on the theoretical lens of Organisational Semiotics, a sociotechnical theory towards contribution to DBE research.",

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author = "Senyo, {Prince Kwame} and Kecheng Liu and John Effah",

year = "2019",

month = jan,

doi = "10.1007/978-3-319-94709-9_21",

language = "English",

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editor = "Kantola, {Jussi Ilari} and Salman Nazir and Tibor Barath",

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Senyo, PK, Liu, K & Effah, J 2019, Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework. in JI Kantola, S Nazir & T Barath (eds), Advances in Human Factors, Business Management and Society: Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA., Chapter 21, Advances in Intelligent Systems and Computing, vol. 783, Springer, pp. 206-217, 9th International Conference on Human Factors, Business Management and Society, Orlando, Florida, United States, 21/07/18. https://doi.org/10.1007/978-3-319-94709-9_21

Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework. / Senyo, Prince Kwame; Liu, Kecheng; Effah, John.
Advances in Human Factors, Business Management and Society: Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA. ed. / Jussi Ilari Kantola; Salman Nazir; Tibor Barath. Springer, 2019. p. 206-217 Chapter 21 (Advances in Intelligent Systems and Computing; Vol. 783).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Senyo PK, Liu K, Effah J. Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework. In Kantola JI, Nazir S, Barath T, editors, Advances in Human Factors, Business Management and Society: Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA. Springer. 2019. p. 206-217. Chapter 21. (Advances in Intelligent Systems and Computing). Epub 2018 Jun 27. doi: 10.1007/978-3-319-94709-9_21

Understanding behaviour patterns of multi-agents in digital business ecosystems: an organisational semiotics inspired framework

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