Methodology for Digitalization - A Conceptual Model
Abstract
This paper reviews the business model and digital capability literatures for tools and techniques related to digital transformation. The theoretical gap identified from the review, combined with findings gathered from a preliminary study with 20 companies in the manufacturing and logistics sector of Singapore highlight the market need for a methodology for digitalization. Based on the inputs gathered from experts familiar with the digital technologies and business transformation, this paper presents a 5-stage conceptual model for a digitalization methodology. The conceptual provides a general structure that defines the key stages of digitalization and their interdependencies, and highlights some future research directions for refining the model for the development of a practical methodology for digitalization.
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Ng et al. [54] developed a conceptual model to guide firms to systematically develop action plans for digitalization, based on inputs gathered from experts of digital technologies and business transformation in manufacturing firms, encompassing five stages: (1) assessment of current business model; (2) design of digital business model; (3) assessment of current digital capabilities; (4)
“Based on the inputs gathered from experts of digital technologies and business transformation in manufacturing firms, a conceptual model to guide firms to systematically develop action plans for digitalization has been developed by Ng et al. [54].”
From Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature (2021) · cites this paper as [54]
Cites
Business Model Generation : A Handbook for Visionaries, Game Changers, and Challengers
Osterwalder, A., & Pigneur, Y. (2010) · Journal of International Crisis and Risk Communication Research · Cited by 6,870 · see citing works
The business model: Recent developments and future research
Zott, C., Amit, R., & Massa, L. (2011) · Journal of Management · doi:10.1177/0149206311406265 · Cited by 4,790 · see citing works
Business Model Evolution: In Search of Dynamic Consistency
Demil, B., & Lecocq, X. (2010) · Long Range Planning · doi:10.1016/j.lrp.2010.02.004 · Cited by 1,776 · see citing works
Business Models and Technological Innovation
Baden‐Fuller, C. W. F., & Haefliger, S. (2013) · Long Range Planning · doi:10.1016/j.lrp.2013.08.023 · Cited by 1,167 · see citing works
Why Companies Should Have Open Business Models
Chesbrough, H. W. (2007) · Dialnet (Universidad de la Rioja) · Cited by 831 · see citing works
The Business Model Navigator: 55 Models That Will Revolutionise Your Business
Gassmann, O., Frankenberger, K., & Csik, M. (2014) · Alexandria (UniSG) (University of St.Gallen) · Cited by 463 · see citing works
Rethinking Pedagogy for a Digital Age: Designing and Delivering E-Learning
Dalziel, J. R. (2007) · Cited by 401 · see citing works
A Process Approach to Researching Manufacturing Strategy
Platts, K. (1993) · International Journal of Operations & Production Management · doi:10.1108/01443579310039533 · Cited by 217 · see citing works
An Introduction to Digital Media
Feldman, T. (2003) · Routledge eBooks · doi:10.4324/9780203398401 · Cited by 121 · see citing works
Competitiveness: Business Model Reconfiguration for Innovation and Internationalization
Casadesus-Masanell, R., & Ricart, J. (2010) · Management Research The Journal of the Iberoamerican Academy of Management · doi:10.1108/1536-541011066470 · Cited by 101 · see citing works
(2017) · Journal of the Association for Information Systems · Cited by 86 · see citing works
Exploring the Field of Business Model Innovation
Gassmann, O., Frankenberger, K., & Sauer, R. (2016) · doi:10.1007/978-3-319-41144-6 · Cited by 81 · see citing works
Three Process Perspectives: Organizations, Teams, and People
Humphrey, W. S. (2002) · Annals of Software Engineering · doi:10.1023/a:1020593305601 · Cited by 64 · see citing works
Digital Enterprise Transformation: A Business-Driven Approach to Leveraging Innovative IT
Uhl, A., & Gollenia, L. A. (2014) · Cited by 50 · see citing works
Johanneson, C. (1997) · Computers & Education · doi:10.1016/s0360-1315(97)84658-1 · Cited by 29 · see citing works
The IoT Business Model Builder
Bilgeri, D., Brandt, V., Lang, M. (. )., et al. (2015) · OPUS (Aalen University) · Cited by 8 · see citing works
Ng, H. Y. (2017) · doi:10.1109/ieem.2017.8290195 · Cited by 3 · see citing works
Self-citationDigital Business Modeling - version 2
Riss, U. V., & Cigaina, M. (2017) · doi:10.13140/rg.2.2.22643.73766/1 · Cited by 3 · see citing works
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Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature
Bellantuono, N., Nuzzi, A., Pontrandolfo, P., & Scozzi, B. (2021) · Sustainability · doi:10.3390/su132312941 · Cited by 146 · see citing works
“Based on the inputs gathered from experts of digital technologies and business transformation in manufacturing firms, a conceptual model to guide firms to systematically develop action plans for digitalization has been developed by Ng et al. [54].”
- Authors
- Ng, H. Y., Tan, P. S., & Lim, Y. G.
- Affiliations
- Singapore Institute of Manufacturing Technology (SG)
- ORCID
- Venue
- 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
- Publisher
- IEEE
- Published
- 2018-12
- Pages
- 1269-1273
- OpenAlex
- W2909417386
- Cited by
- 18
- References
- 18
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 6 · 2020: 2 · 2019: 1
- FWCI
- 9.42
- Type
- conference paper
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Economy and Transformation
- Keywords
- digital transformation, business models, digital capabilities, conceptual model, manufacturing industry, logistics industry, business transformation, digital technologies
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