Digital transformation and business intelligence for a SME: systems thinking action research using PrOH modelling

Gajanan Panchal; Ben Clegg; Ehsan Eslamian Koupaei; Donato Masi; Iain Collis

doi:10.1016/j.procs.2024.02.003

Digital transformation and business intelligence for a SME: systems thinking action research using PrOH modelling

Gajanan Panchal, Ben Clegg, Ehsan Eslamian Koupaei, Donato Masi, Iain Collis

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper discusses the digital transformation journey of a small and medium enterprise (SME) based in the UK. With the proposed digital transformation archetype, the paper highlights the improvement in various key performance indices (KPIs) for the case SME. The core KPIs and operational KPIs show improvement through the technology adoption as part of the digital manufacturing initiative. While embracing technology, such as Industry 4.0, it is important to highlight the importance of the change and other benefits of technological changes. The paper uses socio-technological system principles to achieve a successful transition. An action research approach and a specific soft system thinking methodology known as Process-Oriented Holonic (PrOH) modeling were used in this paper. A digital twin architecture is presented in the paper that showcases the use of integrated technologies for a digital manufacturing roadmap.

Original language	English
Pages (from-to)	1809-1818
Number of pages	10
Journal	Procedia Computer Science
Volume	232
Early online date	20 Mar 2024
DOIs	https://doi.org/10.1016/j.procs.2024.02.003
Publication status	Published - 20 Mar 2024

Bibliographical note

Copyright © 2024 The Authors. Published be Elsevier B.V. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords

System thinking
digital twin
virtual reality
action research

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10.1016/j.procs.2024.02.003Licence: CC BY-NC-ND 4.0

G Panchal et al_Digital transformation and business intelligence for SME_PrOH modelling
Copyright © 2024 The Authors. Published be Elsevier B.V. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Final published version, 1.24 MBLicence: CC BY-NC-ND 4.0

Cite this

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title = "Digital transformation and business intelligence for a SME: systems thinking action research using PrOH modelling",

abstract = "This paper discusses the digital transformation journey of a small and medium enterprise (SME) based in the UK. With the proposed digital transformation archetype, the paper highlights the improvement in various key performance indices (KPIs) for the case SME. The core KPIs and operational KPIs show improvement through the technology adoption as part of the digital manufacturing initiative. While embracing technology, such as Industry 4.0, it is important to highlight the importance of the change and other benefits of technological changes. The paper uses socio-technological system principles to achieve a successful transition. An action research approach and a specific soft system thinking methodology known as Process-Oriented Holonic (PrOH) modeling were used in this paper. A digital twin architecture is presented in the paper that showcases the use of integrated technologies for a digital manufacturing roadmap.",

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note = "Copyright {\textcopyright} 2024 The Authors. Published be Elsevier B.V. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).",

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doi = "10.1016/j.procs.2024.02.003",

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AU - Panchal, Gajanan

AU - Clegg, Ben

AU - Koupaei, Ehsan Eslamian

AU - Masi, Donato

AU - Collis, Iain

N1 - Copyright © 2024 The Authors. Published be Elsevier B.V. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).

PY - 2024/3/20

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N2 - This paper discusses the digital transformation journey of a small and medium enterprise (SME) based in the UK. With the proposed digital transformation archetype, the paper highlights the improvement in various key performance indices (KPIs) for the case SME. The core KPIs and operational KPIs show improvement through the technology adoption as part of the digital manufacturing initiative. While embracing technology, such as Industry 4.0, it is important to highlight the importance of the change and other benefits of technological changes. The paper uses socio-technological system principles to achieve a successful transition. An action research approach and a specific soft system thinking methodology known as Process-Oriented Holonic (PrOH) modeling were used in this paper. A digital twin architecture is presented in the paper that showcases the use of integrated technologies for a digital manufacturing roadmap.

AB - This paper discusses the digital transformation journey of a small and medium enterprise (SME) based in the UK. With the proposed digital transformation archetype, the paper highlights the improvement in various key performance indices (KPIs) for the case SME. The core KPIs and operational KPIs show improvement through the technology adoption as part of the digital manufacturing initiative. While embracing technology, such as Industry 4.0, it is important to highlight the importance of the change and other benefits of technological changes. The paper uses socio-technological system principles to achieve a successful transition. An action research approach and a specific soft system thinking methodology known as Process-Oriented Holonic (PrOH) modeling were used in this paper. A digital twin architecture is presented in the paper that showcases the use of integrated technologies for a digital manufacturing roadmap.

KW - System thinking

KW - digital twin

KW - virtual reality

KW - action research

UR - https://www.sciencedirect.com/science/article/pii/S1877050924001807

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U2 - 10.1016/j.procs.2024.02.003

DO - 10.1016/j.procs.2024.02.003

M3 - Conference article

SN - 1877-0509

VL - 232

SP - 1809

EP - 1818

JO - Procedia Computer Science

JF - Procedia Computer Science

ER -

Digital transformation and business intelligence for a SME: systems thinking action research using PrOH modelling

Abstract

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Keywords

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