Creating Digital Transformation Roadmaps for Independent Audit Firms: An Interval-Valued Q-Rung Orthopair Model

dc.contributor.author Gorcun, Mer Mer Faruk
dc.contributor.author Simic, Vladimir
dc.contributor.author Sener, Sefer
dc.contributor.author Durmus, Cem Niyazi
dc.contributor.author Canakcioglu, Mustafa
dc.date.accessioned 2026-01-15T14:58:20Z
dc.date.available 2026-01-15T14:58:20Z
dc.date.issued 2026
dc.description.abstract The primary objective of this study is to develop a structured digital transformation strategy roadmap that independent audit firms can utilize to manage digital transformation processes effectively. Digital transformation extends beyond integrating Industry 4.0 and advanced technologies into business operations. It necessitates restructuring business models, decision-making frameworks, and stakeholder communication mechanisms. Its implications are critical across all industries. In independent auditing, ensuring data accuracy, enhancing audit process transparency, and meeting speed and quality requirements are becoming increasingly vital. Digital transformation addresses these needs and provides independent audit firms with a sustainable competitive advantage. A review of the existing literature reveals a significant research gap in the identification and prioritization of digital transformation strategies, as well as a lack of comprehensive theoretical studies examining the digital transformation practices of enterprises. This study proposes an integrated decision-making model to address these research and theoretical shortcomings. According to the study results, "providing in-depth analysis with big data analytics and artificial intelligence solutions" is the most essential strategy for managing digital transformation processes. Regarding the applicability of this strategy, "agility" is defined as the most critical and practical criterion. Robustness checks confirm the model's validity and consistency. en_US
dc.identifier.doi 10.1016/j.engappai.2025.113591
dc.identifier.issn 0952-1976
dc.identifier.issn 1873-6769
dc.identifier.uri https://doi.org/10.1016/j.engappai.2025.113591
dc.identifier.uri https://hdl.handle.net/20.500.12469/7693
dc.language.iso en en_US
dc.publisher Pergamon-Elsevier Science Ltd en_US
dc.relation.ispartof Engineering Applications of Artificial Intelligence en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Digital Transformation en_US
dc.subject Independent Audit Firms en_US
dc.subject Strengths en_US
dc.subject Weaknesses en_US
dc.subject Opportunities en_US
dc.subject And Threats Analysis en_US
dc.subject Interval-Valued Q-Rung Orthopair Fuzzy Sets en_US
dc.subject Criteria Importance Through Intercriteria en_US
dc.subject Correlation en_US
dc.title Creating Digital Transformation Roadmaps for Independent Audit Firms: An Interval-Valued Q-Rung Orthopair Model en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.collaboration.industrial false
gdc.description.department Kadir Has University en_US
gdc.description.departmenttemp [Gorcun, Mer Mer Faruk] Kadir Has Univ, Fac Econ Adm & Social Sci, Dept Business Adm, Cibali Ave Kadir Has St Fatih, Fatih, Istanbul, Turkiye; [Simic, Vladimir] Szecheny Istva Univ, Sustainabil Competence Ctr, Egyet Ter 1, H-9026 Gyor, Hungary; [Simic, Vladimir] Yuan Ze Univ, Coll Engn, Dept Ind Engn & Management, Taoyuan City 320315, Taiwan; [Simic, Vladimir] Korea Univ, Coll Informat, Dept Comp Sci & Engn, 145 Anam Ro, Seoul 02841, South Korea; [Sener, Sefer] Istanbul Univ, Fac Econ, Dept Econ, Istanbul, Turkiye; [Durmus, Cem Niyazi] Kadir Has Univ, Cibali Ave Kadir Has St, Fatih, Istanbul, Turkiye; [Canakcioglu, Mustafa] Istanbul Gelisim Univ, Dept e Trade & Management, Cihangir Ave, Istanbul, Turkiye en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 113591
gdc.description.volume 166 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W4417526777
gdc.identifier.wos WOS:001649366300001
gdc.index.type WoS
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gdc.oaire.influence 2.4895952E-9
gdc.oaire.popularity 2.0862079E-10
gdc.openalex.collaboration International
gdc.opencitations.count 0
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