CoChat
Sign Up
Cited by 101Information Technology Governance and StrategyDigital Innovation in IndustriesCorporate Management and Leadership

Digital Transformation Journey Guidance: A Holistic Digital Maturity Model Based on a Systematic Literature Review

Open access
Aras, Arzu, Büyüközkan, Gülçin·2023·Systems
DOI 10.3390/systems11040213
Open this paper in CoChat — free accountOpen PDF

Abstract

For a successful digital transformation, organizations must create an accurate roadmap and manage the process effectively. A digital maturity model is a critical success factor as it enables organizations to assess their current situation and create roadmaps aligned with their goals; however, a comprehensive systematic literature review covering the maturity models proposed by academia and consultancy firms is hard to find. Further, the existing models are sector-oriented, not organization-oriented, and do not consider the transformation journey holistically, but instead focus on model dimensions. This study first undertakes a comprehensive and up-to-date systematic literature review by applying the PRISMA approach using a bibliometric analysis tool capable of providing visual maps, then developing a unique holistic digital maturity model that covers several aspects of an organization’s digital transformation journey, from strategy to governance, and asking relevant questions. The hierarchical structure, comprising dimensions and sub-dimensions, presents content beyond the scope of other models. The results of the digital maturity assessment can be interpreted in parallel with the stages of the digital transformation. Consequently, the new holistic and sector-independent digital maturity model can be used by organizations in both the private and public sector.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/systems11040213

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The remaining two models-Aras & Büyüközkan (2023) and Tubis (2023)-although sector-agnostic, provide flexible, multi-dimensional structures that can be tailored to smaller enterprises.

    “the remaining two-Aras & Büyüközkan (2023) and Tubis (2023)-although sector-agnostic, provide flexible, multi-dimensional structures that empirical work has shown can be tailored to smaller enterprises”

    From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Aras & Büyüközkan (2023)

    The Conclusions (p. unavailable) describe Aras and Büyüközkan’s model as generic, applicable across company sizes and sectors, and potentially adjustable by weighting its dimensions. Table 6 shows its multidimensional structure. The paper does not report empirical evidence that the model has been tailored to smaller enterprises; it presents size-based adjustment as a possibility, not a demonstrated result. This verdict concerns the Aras and Büyüközkan model, not Tubis (2023). (LLM, conf=0.86)

    Experimental — accuracy not yet measured

  • The six core dimensions of the Holistic Digital Maturity Model are Digital Strategy, Value, Processes, Technology, People & Culture, and Governance & Leadership.

    “The six core dimensions are as follows: Digital Strategy, Value, Processes, Technology, People & Culture, and Governance & Leadership.”

    From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Aras & Büyüközkan (2023)

    Table 6 and §5.2 confirm that the model has six dimensions, including Digital Strategy, Digital Value, and Digital Processes. But the remaining dimensions are named Digital Technology and Data, Digital Work, and Digital Governance—not Technology, People & Culture, and Governance & Leadership. (LLM, conf=0.91)

    Experimental — accuracy not yet measured

  • The Holistic Digital Maturity Model by Aras & Büyüközkan (2023) is predicated on a four-stage approach: Awareness, Readiness, Planning, and Execution.

    “The proposed Holistic Digital Maturity Model is predicated on a four-stage approach: Awareness, Readiness, Planning, and Execution, to capture an organisation's full transformation lifecycle.”

    From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Aras & Büyüközkan (2023)

  • The Holistic Digital Maturity Model has six core dimensions subdivided into 24 sub-dimensions.

    “The authors have identified six core dimensions, which are further subdivided into 24 sub-dimensions.”

    From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Aras & Büyüközkan (2023)

  • The Holistic Digital Maturity Model is sector-independent.

    “The model is sector-independent, thus allowing businesses of diverse sizes and industries to identify existing maturity gaps, prioritise digital initiatives, and align these with broader strategic goals.”

    From Digital transformation: a comparative analysis of SME digital maturity models (2025) · cites this paper as Aras & Büyüközkan (2023)

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 86

  1. Strategy, 2. IT Capability, 3. Interoperability, 4. Governance and Management, 5. Patient-Centered Care, 6. People, Skills, and Behavior, 7. Data Analytics √ Goumeh and Barforoush []. Conference Paper 1. Customer, 2. Ecosystem, 3. Law, 4. Strategy, 5. Operation, 6. Technology √ √ Alsufyani and Gill
  2. Conference Paper 1. Interaction Layer, 2. Technology Layer, 3. Human Layer, 4. Security Layer, 5. Environment Layer √ Cordes and Musies
  3. Conference Paper 1. Customer Experience, 2. Innovation, 3. Process Digitalization, 4. Information Technology, 5. Digital Skills, 6. Strategy, 7. Culture, 8. Governance, 9. Organization, 10. Collaboration √ Yezhebay et al.
  4. Conference Paper 1. People, 2. Leadership, 3. Strategy, 4. Technology, 5. Operation, 6. Product
  5. Article 1. Digital Technology, 2. Management, 3. HR, 4. Strategy, 5. Digital Business Model, 6. Role of Informatics √ √ Aslanova and Kulichkina []. Conference Paper 1. Strategy, 2. Organization, 3. People, 4. Technologies, 5. Data √ Weritz et al.
  6. Conference Paper 1. Capabilities Absorptive Capacity, 2. Agility and Flexibility, 3. Cross-functional Collaboration, 4. Innovation Capability, 5. Market Orientation, 6. Relational Capability √ √ Colli et al.
  7. Conference Paper 1. Products and Services, 2. Technology and Resources, 3. Strategy and Organization, 4. Operations, 5. Customers, 6. Governance, 7. Employees √ √ Schumacher et al.
  8. Article 1. Technology, 2. Products, 3. Customers and Partners, 4. Value Creation Processes, 5. Data and Information, 6. Corporate Standards √ √ Canetta et al. [60]. Conference Paper 1. Strategy, 2. Processes, 3. Technologies, 4. Product and Services, 5. People √ √ Rossmann
  9. Conference Paper 1. Strategy Capability, 2. Leadership Capability, 3. Market Capability, 4. Operational Capability, 5. People and Expertise Capability, 6. Cultural Capability, 7. Governance Capability, 8. Technology Capability √ √ Akdil et al.
  10. Book Chapter 1. Strategy and Organization, 2. Smart Products and Services, 3. Smart Business Processes √ √ √ Gimbel et al.
  11. Article 1. Strategy and Organization, 2. Smart Factory, 3. Smart Operations, 4. Smart Product, 5. Data-driven Services, 6. Employees √ √ Sjödin et al. [67]. Article 1. People, 2. Process, 3. Technology √ Mittal et al. [68]. Conference Paper 1. Finance, 2. People, 3. Strategy, 4. Process, 5. Product √ √ De Carolis et al. [69]. Conference Paper 1. Organization, 2. Processes, 3. Technologies, 4. Monitoring and Control √ √ Gökalp et al.
  12. Book Chapter 1. Asset Management, 2. Data Governance, 3. Application Management, 4. Process Transformation, 5. Organizational Alignment √ √ De Carolis et al. [71]. Book Chapter 1. Organization, 2. Processes, 3. Technologies, 4. Monitoring and Control √ Von Leipzig et al.
  13. Conference Paper 1. Competence(s), 2. Innovation Culture, 3. Cooperation, 4. Strategy Development, 5. Process Organization, 6. Complementary IT System, 7. Smart Product and Factory, 8. Offering to Customer, 9. Structural Organization √ √ Leino and Anttila [74]. Conference Paper 1. Strategy, 2. Information Technology, 3. Business Model, 4. Customer Interface, 5. Organization and Processes, 6. People and Culture √ Valdez-de-Leon [75]. Article 1. Strategy, 2. Organization, 3. Technologies, 4. Ecosystem, 5. Operations, 6. Customers, 7. Innovation √ Schumacher et al. [20]. Article 1. Product, 2. Customers, 3. Operations, 4. Technologies, 5. Strategy, 6. Leadership, 7. Governance, 8. Culture, 9. People References Consultancy Firms' Model Name Dimensions Bain & Company
  14. Warner, K.S.R.; Wäger, M. Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Plann. 2018, 52, 326-349. [CrossRef] · DOI
  15. Mergel, I.; Edelmann, N.; Haug, N. Defining digital transformation: Results from expert interviews. Gov. Inf. Q. 2010, 36, 101385. [CrossRef] · DOI · Paper page
  16. Moreira, F.; Ferreira, M.J.; Seruca, I. Enterprise 4.0-The emerging digital transformed enterprise? Procedia Comput. Sci. 2018, 138, 525-532. [CrossRef] · DOI
  17. Reis, J.; Amorim, M.; Melão, N.; Matos, P. Digital transformation: A literature review and guidelines for future research. In Trends and Advances in Information Systems and Technologies;
  18. Vial, G. Understanding digital transformation: A review and a research agenda. J. Strateg. Inf. Sys. 2021, 28, 118-144. [CrossRef] · DOI · Paper page
  19. Henriette, E.; Feki, M.; Boughzala, I. The Shape of Digital Transformation: A Systematic Literature Review. In Proceedings of the 9th Mediterranean Conference on Information Systems (MCIS 2015), Samos, Greece, 3-5 October 2015; pp. 1-13.
  20. Verhoef, P.C.; Broekhuizen, T.; Bart, Y.; Bhattacharya, A.; Qi Dong, J.; Fabian, N.; Haenlein, M. Digital transformation: A multidisciplinary reflection and research agenda. J. Bus. Res. 2021, 122, 889-901. [CrossRef] · DOI · Paper page
  21. Berghaus, S. The Fuzzy Front-end of Digital Transformation: Three Perspectives on the Formulation of Organizational Change Strategies. In Proceedings of the 29th Bled eConference: Digital Economy, Bled, Slovenia, 19-22 June 2016; pp. 129-144.
  22. Kurmann, P.; Arpe, B. Managing Digital Transformation: How Organizations turn Digital Transformation into Business Practices. Master's Thesis, Lund University, Lund, Sweden, 2019.
  23. Hrynko, P. Improvement of the digital transformation strategy of business on the basis of digital technologies. Eureka Soc. Humanit. 2019, 6, 10-18. [CrossRef] · DOI
  24. Kotarba, M. Digital transformation of business models. Found. Manag. 2018, 10, 123-142. [CrossRef] · DOI
  25. Hägg, J.; Sandhu, S. Do or Die: How Large Organizations Can Reach a Higher Level of Digital Maturity. Master's Thesis, Luleå University of Technology, Luleå, Sweden, 2017.
  26. Ikegami, H.; Iijima, J. Unwrapping efforts and difficulties of enterprises for digital transformation. In Digital Business Transformation; Agrifoglio, R., Lamboglia, R., Mancini, D., Ricciardi, F., Eds.; Springer International Publishing: Cham, Switzerland, 2020; pp. 237-250.
  27. Griva, A.; Kotsopoulos, D.; Karagiannaki, A.; Zamani, E.D. What do growing early-stage digital start-ups look like? A mixed- methods approach. Int. J. Inf. Manag. 2023, 69, 102427. [CrossRef] · DOI
  28. Ross, J.W.; Beath, C.M. Designed for Digital: How to Architect your Business for Sustained Success; MIT Press: Cambridge, MA, USA, 2018.
  29. Nambisan, S.; Sawhney, M. Digital transformation: Business models and global implications. Commun. ACM 2019, 62, 58-67.
  30. Westerman, G.; Bonnet, D.; McAfee, A. Leading Digital: Turning Technology into Business Transformation; Harvard Business Press: Boston, MA, USA, 2014.
  31. Berman, S.J.; Marshall, A. Digital transformation in the innovation process: Theory and practice. RD Manag. 2019, 49, 1-5.
  32. Kagermann, H.; Wahlster, W.; Helbig, J. (Eds.) Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Final Report of the Industrie 4.0 Working Group; Acatech-National Academy of Science and Engineering: Frankfurt, Germany, 2013.
  33. Berghaus, S.; Back, A. Stages in Digital Business Transformation: Results of an Empirical Maturity Study. In Proceedings of the the 2016 Mediterranean Conference on Information Systems (MCIS), Paphos, Cyprus, 4-6 September 2016; pp. 1-17.
  34. Liberati, A.; Altman, D.G.; Tetzlaff, J.; Mulrow, C.; Gøtzsche, P.C.; Ioannidis, J.P.A.; Clarke, M.; Devereaux, P.J.; Kleijnen, J.; Moher, D. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Med. 2009, 6, e1000100. [CrossRef] · DOI · Paper page
  35. Linnenluecke, M.K.; Marrone, M.; Singh, A.K. Conducting systematic literature reviews and bibliometric analyses. Aust. J. Manag. 2020, 45, 175-194. [CrossRef] · DOI
  36. Uribe-Toril, J.; Ruiz-Real, J.L.; Milán-García, J.; de Pablo Valenciano, J. Energy, economy, and environment: A worldwide research update. Energies 2019, 12, 1120. [CrossRef] · DOI
  37. Moral-Muñoz, J.A.; Herrera-Viedma, E.; Santisteban-Espejo, A.; Cobo, M.J. Software tools for conducting bibliometric analysis in science: An up-to-date review. Prof. Inf. 2020, 29, 1-20. [CrossRef] · DOI
  38. Cobo, M.J.; López-Herrera, A.G.; Herrera-Viedma, E.; Herrera, F. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the fuzzy sets theory field. J. Infometr. 2011, 5, 146-166. [CrossRef] · DOI
  39. Rashid, S.; URRehman, S.; Ashiq, M.; Khattak, A. A scientometric analysis of forty-three years of research in social support in education (1977-2020). Educ. Sci. 2021, 11, 149. [CrossRef] · DOI
  40. Armenta-Medina, D.; Díaz de León, C.; Armenta-Medina, A.; Perez-Rueda, E. A bibliometric analysis of Mexican bioinformatics: A portrait of actors, structure, and dynamics. Biology 2022, 11, 131. [CrossRef] · DOI
  41. Hajoary, P.K. Industry 4.0 maturity and readiness models: A systematic literature review and future framework. Int. J. Innov. Technol. Manag. 2020, 17, 2030005. [CrossRef] · DOI
  42. Hizam-Hanafiah, M.; Soomro, M.A.; Abdullah, N.L. Industry 4.0 readiness models: A systematic literature review of model dimensions. Information 2020, 11, 364. [CrossRef] · DOI
  43. Soomro, M.A.; Hizam-Hanafiah, M.; Abdullah, N.L. Digital readiness models: A systematic literature review. Compusoft 2020, 9, 3596-3605.
  44. Williams, C.; Schallmo, D.; Lang, K.; Boardman, L. Digital Maturity Models for Small and Medium-sized Enterprises: A Systematic Literature Review. In Proceedings of the International Society for Professional Innovation Management (ISPIM) Innovation Conference, Florence, Italy, 16-19 June 2019.
  45. Akdil, K.Y.; Ustundag, A.; Cevikcan, E. Maturity and readiness model for Industry 4.0 strategy. In Industry 4.0: Managing the Digital Transformation; Ustundag, A., Cevikcan, E., Eds.; Springer International Publishing: Cham, Switzerland, 2018; pp. 61-94.
  46. Al-Ali, M.; Marks, A. A digital maturity model for the education enterprise. Perspect. Policy Pract. High. Educ. 2022, 26, 47-58. [CrossRef] · DOI
  47. Barry, A.S.; Assoul, S.; Souissi, N. Benchmarking of Digital Maturity Models according to the Dimension Component. In Proceedings of the 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), Meknes, Morocco, 3-4 March 2022; pp. 1-8.
  48. Yang, H.; Xu, X. Research on Computer Evaluation Index System of Digital Maturity of Automotive Supply Chain. In Proceedings of the 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), Changchun, China, 25-27 February 2022; pp. 442-446.
  49. Duncan, R.; Eden, R.; Woods, L.; Wong, I.; Sullivan, C. Synthesizing dimensions of digital maturity in hospitals: Systematic review. J. Med. Internet Res. 2022, 24, e32994. [CrossRef] · DOI
  50. Goumeh, F.; Barforoush, A.A. A Digital Maturity Model for Digital Banking Revolution for Iranian Banks. In Proceedings of the 26th International Computer Conference, Computer Society of Iran (CSICC 2021), Tehran, Iran, 3-4 March 2021; pp. 1-6.
  51. Alsufyani, N.; Gill, A.Q. A review of digital maturity models from adaptive enterprise architecture perspective: Digital by design. In Proceedings of the IEEE 23rd Conference on Business Informatics (CBI), Bolzano, Italy, 1-3 September 2021;
  52. Almeida, J.P.A., Bork, D., Guizzardi, G., Montali, M., Eds.; IEEE: New York, NY, USA, 2021; pp. 121-130.
  53. Cordes, A.-K.; Musies, N. Accelerating the Transformation? The Impact of COVID-19 on the Digital Maturity of Retail Businesses. In Proceedings of the 23rd Conference on Business Informatics (CBI), Bolzano, Italy, 1-3 September 2021; pp. 102-110.
  54. Yezhebay, A.; Sengirova, V.; Igali, D.; Abdallah, Y.O.; Shehab, E. Digital Maturity and Readiness Model for Kazakhstan SMEs. In Proceedings of the 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 28-30 April 2021; pp. 74-79.
  55. Almasbekkyzy, A.; Abdikerim, D.; Nabi, D.; Abdallah, Y.O.; Shehab, E. Digital Maturity and Readiness Model for Multiple-case of Kazakhstan Large Companies. In Proceedings of the 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), Nur-Sultan, Kazakhstan, 28-30 April 2021; pp. 617-623.
  56. Salume, P.K.; Barbosa, M.W.; Pinto, M.R.; Sousa, P.R. Key dimensions of digital maturity: A study with retail sector companies in Brazil. Rev. Adm. Mackenzie 2021, 22, 1-29. [CrossRef] · DOI
  57. Kljajić Borštnar, M.; Pucihar, A. Multi-attribute assessment of digital maturity of SMEs. Electronics 2021, 10, 885. [CrossRef] · DOI
  58. Aslanova, I.V.; Kulichkina, A.I. Digital maturity: Definition and model. In Proceedings of the 2nd International Scientific and Practical Conference "Modern Management Trends and the Digital Economy: From Regional Development to Global Economic Growth" (MTDE 2020), Yekaterinburg, Russia, 16-17 April 2020; pp. 443-449.
  59. Weritz, P.; Braojos, J.; Matute, J. Exploring the Antecedents of Digital Transformation: Dynamic Capabilities and Digital Culture Aspects to Achieve Digital Maturity. In Proceedings of the 26th Americas Conference on Information Systems (AMCIS), Virtual, 15-17 August 2020.
  60. Colli, M.; Berger, U.; Bockholt, M.; Madsen, O.; Møller, C.; Wæhrens, B.V. A maturity assessment approach for conceiving context-specific roadmaps in the Industry 4.0 era. Annu. Rev. Control 2019, 48, 165-177. [CrossRef] · DOI
  61. Bandara, O.; Vidanagamachchi, K.; Wickramarachchi, R. A Model for Assessing Maturity of Industry 4.0 in the Banking Sector. In Proceedings of the 2019 International Conference on Industrial Engineering and Operations Management, Bangkok, Thailand, 5-7 March 2019; pp. 1141-1150.
  62. Schumacher, A.; Nemeth, T.; Sihn, W. Roadmapping towards Industrial Digitalization based on an Industry 4.0 Maturity Model for Manufacturing Enterprises. In Proceedings of the 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Gulf of Naples, Italy, 18-20 July 2018; pp. 409-414.
  63. Canetta, L.; Barni, A.; Montini, E. Development of a digitalization maturity model for the manufacturing sector. In Proceedings of the 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), Stuttgart, Germany; pp. 1-7.
  64. Rossmann, A. Digital Maturity: Conceptualization and Measurement Model. In Proceedings of the 39th International Conference on Information Systems (ICIS 2018), San Francisco, CA, USA, 13-16 December 2018; pp. 1-9.
  65. Gimpel, H.; Hosseini, S.; Huber, R.; Probst, L.; Röglinger, M.; Faisst, U. Structuring digital transformation: A framework of action fields and its application at ZEISS. J. Inf. Technol. Theory Appl. 2018, 19, 3.
  66. Horvat, D.; Stahlecker, T.; Zenker, A.; Lerch, C.; Mladineo, M. A conceptual approach to analysing manufacturing companies' profiles concerning Industry 4.0 in emerging economies. Procedia Manuf. 2018, 17, 419-426. [CrossRef] · DOI
  67. Bibby, L.; Dehe, B. Defining and assessing industry 4.0 maturity levels-case of the defence sector. Prod. Plan. Control 2018, 29, 1030-1043. [CrossRef] · DOI
  68. Botha, A.P. Rapidly arriving futures: Future readiness for Industry 4.0. South Afr. J. Ind. Eng. 2018, 29, 148-160. [CrossRef] · DOI
  69. Hamidi, S.R.; Aziz, A.A.; Shuhidan, S.M.; Aziz, A.A.; Mokhsin, M. SMEs maturity model assessment of IR4.0 digital transforma- tion. Adv. Intell. Syst. Comput. 2018, 739, 721-732.
  70. Sjödin, D.R.; Parida, V.; Leksell, M.; Petrovic, A. Smart factory implementation and process innovation. Res. Technol. Manag. 2018, 61, 22-31. [CrossRef] · DOI
  71. Mittal, S.; Romero, D.; Wuest, T. Towards a smart manufacturing maturity model for SMEs (SM3E). IFIP Adv. Inf. Commun. Technol. 2018, 536, 155-163.
  72. De Carolis, A.; MacChi, M.; Negri, E.; Terzi, S. Guiding Manufacturing Companies towards Digitalization a Methodology for Supporting Manufacturing Companies in Defining their Digitalization Roadmap. In Proceedings of the 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), Madeira, Portugal, 27-29 June 2018; pp. 487-495.
  73. Gökalp, E.; Şener, U.; Eren, P.E. Development of an assessment model for industry 4.0: Industry 4.0-MM. In Software Process Improvement and Capability Determination; Mas, A., Mesquida, A., O'Connor, R.V., Rout, T., Dorling, A., Eds.; Springer International Publishing: Cham, Switzerland, 2017; pp. 128-142.
  74. De Carolis, A.; Macchi, M.; Negri, E.; Terzi, S. A Maturity Model for Assessing the Digital Readiness of Manufacturing Companies. In Proceedings of the IFIP WG 5.7 International Conference on Advances in Production Management Systems: The Path to Intelligent, Collaborative and Sustainable Manufacturing, Hamburg, Germany, 3-7 September 2017;
  75. Lödding, H., Riedel, R., Thoben, K.D., von Cieminski, G., Kiritsis, D., Eds.; Springer: Cham, Switzerland, 2017; Volume 513, Part I. pp. 1313-2020.
  76. Von Leipzig, T.; Gamp, M.; Manz, D.; Schöttle, K.; Ohlhausen, P.; Oosthuizen, G.; Palm, D.; Von Leipzig, K. Initialising customer-orientated digital transformation in enterprises. Procedia Manuf. 2018, 8, 517-524. [CrossRef] · DOI
  77. Klötzer, C.; Pflaum, A. Toward the Development of a Maturity Model for Digitalization within the Manufacturing Industry's Supply Chain. In Proceedings of the Hawaii International Conference on System Sciences, Waikoloa Beach, Hawaii, 4-7 January 2017; pp. 4210-4219.
  78. Leino, S.-P.; Anttila, J.-P. Digimaturity in manufacturing industry. In Proceedings of the 2nd Annual SMACC Research Seminar, Tampere, Finland, 7 November 2017;
  79. Aaltonen, J., Virkkunen, R., Koskinen, K.T., Kuivanen, R., Eds.; Tampere University of Technology: Tampere, Finland, 2017; pp. 25-28.
  80. Valdez-de-Leon, O. A digital maturity model for telecommunications service providers. Technol. Innov. Manag. Rev. 2016, 6, 19-32. [CrossRef] · DOI
  81. Rogers, D.L. The Digital Transformation Playbook: Rethink your Business for the Digital Age; Columbia University Press: New York, NY, USA, 2016.
  82. Ganzarain, J.; Errasti, N. Three stage maturity model in SME's toward industry 4.0. J. Ind. Eng. Manag. 2016, 9, 1119-1128. [CrossRef] · DOI
  83. Leyh, C.; Bley, K.; Schäffer, T.; Forstenhäusler, S. SIMMI 4.0-A Maturity Model for Classifying the Enterprise-wide IT and Software Landscape Focusing on Industry 4.0. In Proceedings of the 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), Gdansk, Poland, 11-14 September 2016; pp. 1297-1302.
  84. Felch, V.; Asdecker, B.; Sucky, E. Maturity Models in the Age of Industry 4.0-Do the Available Models Correspond to the Needs of Business Practice? In Proceedings of the 2019 Hawaii International Conference on System Sciences, Maui, Hawaii, 8-11 January 2019; pp. 5165-5174.
  85. Williams, S.P.; Schubert, P. Designs for the digital workplace. Procedia Comput. Sci. 2018, 138, 478-485.
  86. CrossRef · DOI

Cited by

Sorted by citations

Authors
Aras, A., & Büyüközkan, G.
Affiliations
  • Özyeğin University (TR)
  • Galatasaray University (TR)
Corresponding author
Aras, Arzu
ORCID
Büyüközkan, Gülçin
Venue
Systems
Publisher
MDPI AG
Published
2023-04-20
Volume
11
Issue
4
Pages
213
ISSN
2079-8954 (ISSN-L)
DOI
10.3390/systems11040213
OpenAlex
W4366771657
Cited by
101
References
5
Citations by year
2026: 33 · 2025: 43 · 2024: 18 · 2023: 7
FWCI
9.18
Type
journal article
Language
en
Open access
Licence
Locations
  • Systems (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Business, Management and Accounting › Management Information Systems › Information Technology Governance and Strategy
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Corporate Management and Leadership
Keywords
digital maturity model, digital transformation, digital transformation roadmap, digital governance, digital strategy, transformation stages, digitalization of public administration

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review