Prescriptive digital transformation maturity model: a development and validation study

PurposeThis study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.Design/methodology/approachA literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.FindingsResults obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.Research limitations/implicationsThe developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.Originality/valueA novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.

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Eser Adı
(dc.title)
Prescriptive digital transformation maturity model: a development and validation study
Yazar
(dc.contributor.author)
Batuhan Kocaoğlu
Yayın Yılı
(dc.date.issued)
2024
Tür
(dc.type)
Makale
Özet
(dc.description.abstract)
PurposeThis study aims to develop a modular and prescriptive digital transformation maturity model whose constituent elements have conceptual integrity as well as reveal the priority weights of maturity model components.Design/methodology/approachA literature review with a concept-centric analysis enlightens the characteristics of constituent parts and reveals the gaps for each component. Therefore, the interdependency network among model dimensions and priority weights are identified using decision-making trial and evaluation laboratory (DEMATEL)-based analytic network process (ANP) method, including 19 industrial experts, and the results are robustly validated with three different analyses. Finally, the applicability of the developed maturity model and the constituent elements are validated in the context of the manufacturing industry with two case applications through a strict protocol.FindingsResults obtained from DEMATEL-based ANP suggest that smart processes with a priority weight of 17.91% are the most important subdimension for reaching higher digital maturity. Customer integration and value, with a priority weight of 17.30%, is the second most important subdimension and talented employee, with 16.24%, is the third most important subdimension.Research limitations/implicationsThe developed maturity model enables companies to make factual assessments with specially designed measurement instrument including incrementally evolved questions, prioritize action fields and investment strategies according to maturity index calculations and adapt to the dynamic change in the environment with spiral maturity level identification.Originality/valueA novel spiral maturity level identification is proposed with conceptual consistency for evolutionary progress to adapt to dynamic change. A measurement instrument that is incrementally structured with 234 statements and a measurement method that is based on the priority weights and leads to calculating the maturity index are designed to assess digital maturity, create an improvement roadmap to reach higher maturity levels and prioritize actions and investments without any external support and assistance.
Açık Erişim Tarihi
(dc.date.available)
2023-12-28
Yayıncı
(dc.publisher)
Emerald Group Publıshıng Ltd
Dil
(dc.language.iso)
En
Konu Başlıkları
(dc.subject)
Digital transformation
Konu Başlıkları
(dc.subject)
D-ANP
Konu Başlıkları
(dc.subject)
DEMATEL
Konu Başlıkları
(dc.subject)
Digital maturity
Konu Başlıkları
(dc.subject)
Maturity assessment
Konu Başlıkları
(dc.subject)
Maturity model
Konu Başlıkları
(dc.subject)
Industry 4.0
Konu Başlıkları
(dc.subject)
Digitalization
Tek Biçim Adres
(dc.identifier.uri)
https://hdl.handle.net/20.500.14081/1937
ISSN
(dc.identifier.issn)
0368-492X
Dergi
(dc.relation.journal)
Kybernetes
Esere Katkı Sağlayan
(dc.contributor.other)
Kocaoglu, Batuhan
Esere Katkı Sağlayan
(dc.contributor.other)
Kirmizi, Mehmet
DOI
(dc.identifier.doi)
10.1108/K-02-2023-0243
Orcid
(dc.identifier.orcid)
0000-0002-6876-1362
wosquality
(dc.identifier.wosquality)
Q3
wosauthorid
(dc.contributor.wosauthorid)
CZK-9262-2022
Department
(dc.contributor.department)
Yönetim Bilişim Sistemleri (İngilizce)
Wos No
(dc.identifier.wos)
WOS:001160754000001
Veritabanları
(dc.source.platform)
Wos
Veritabanları
(dc.source.platform)
Scopus
Analizler
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