Cited by 247Digital Transformation in IndustryImpact of AI and Big Data on Business and SocietyDigital Innovation in Industries

A Conceptual Framework to Support Digital Transformation in Manufacturing Using an Integrated Business Process Management Approach

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Butt, Javaid·2020·Designs

Abstract

Digital transformation is no longer a future trend, as it has become a necessity for businesses to grow and remain competitive in the market. The fourth industrial revolution, called Industry 4.0, is at the heart of this transformation, and is supporting organizations in achieving benefits that were unthinkable a few years ago. The impact of Industry 4.0 enabling technologies in the manufacturing sector is undeniable, and their correct use offers benefits such as improved productivity and asset performance, reduced inefficiencies, lower production and maintenance costs, while enhancing system agility and flexibility. However, organizations have found the move towards digital transformation extremely challenging for several reasons, including a lack of standardized implementation protocols, emphasis on the introduction of new technologies without assessing their role within the business, the compartmentalization of digital initiatives from the rest of the business, and the large-scale implementation of digitalization without a realistic view of return on investment. To instill confidence and reduce the anxiety surrounding Industry 4.0 implementation in the manufacturing sector, this paper presents a conceptual framework based on business process management (BPM). The framework is informed by a content-centric literature review of Industry 4.0 technologies, its design principles, and BPM method. This integrated framework incorporates the factors that are often overlooked during digital transformation and presents a structured methodology that can be employed by manufacturing organizations to facilitate their transition towards Industry 4.0.

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Crossref · 10.3390/designs4030017

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  • The theoretical approaches of those three DTMs are co-innovation and strategic road mapping, lean thinking philosophy, and business process management, respectively.

    “which are, respectively, co-innovation and strategic road mapping, the lean thinking philosophy and business process management.”
  • Butt [58] derives an integrated business-process management framework (IBPM) based on narrative literature review, rooted in BPM tradition and proposed as a method to support manufacturing organizations' journey towards I4.0.

    “Butt [58] derives an integrated business-process management framework (IBPM) based on narrative literature review.”
  • Only three DTMs-Erol et al. [49], Romero et al. [52] and Butt [58]-explicitly mention the theoretical approach used to develop them.

    “Only three DTMs-i.e., Erol et al. [49], Romero et al. [52] and Butt [58]-explicitly mention the theoretical approach used to develop them, which are, respectively, co-innovation and strategic road mapping, the lean thinking philosophy and business process management.”
  • Issa et al. [51] and Butt [58] are the only academic DTMs that envisage creation of an ad-hoc task force to organize and manage digital transformation.

    “From an organizational perspective, the DTMs provided by Issa et al. [51] and Butt [58] are the only academic models that envisage the creation of an ad-hoc task force to organize and manage the digital transformation initiative.”
  • Butt [58] envisages an activity of monitoring change and suggests adopting a lean six-sigma approach.

    “Butt [58] also envisages an activity of monitoring change and suggests adopting a lean six-sigma approach.”

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References 250 · Cited by 247

Authors
Butt, J.
Affiliations
Anglia Ruskin University (GB)
Corresponding author
Butt, Javaid
Venue
Designs
Publisher
MDPI AG
Published
2020-06-27
Volume
4
Issue
3
Pages
17
ISSN
2411-9660 (ISSN-L)
OpenAlex
W3037949765
Cited by
247
References
250
Citations by year
2026: 32 · 2025: 65 · 2024: 66 · 2023: 41 · 2022: 30 · 2021: 12 · 2020: 1
FWCI
13.39
Type
journal article
Language
en
Open access
Locations
  • Designs (publishedVersion, cc-by)
  • Anglia Ruskin Research Online (Anglia Ruskin University) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords
digital transformation, manufacturing industry, Industry 4.0, business process management, conceptual framework, digitalization, implementation methodology, return on investment, enabling technologies, organizational agility

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