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Digital Transformation: Quo Vadit?

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Title: Digital Transformation: Quo Vadit?
Authors: Wessel, Lauri1,2 (AUTHOR), Mosconi, Elaine3 (AUTHOR), Indulska, Marta4,5 (AUTHOR), Baiyere, Abayomi6,7 (AUTHOR) aba.digi@cbs.dk
Source: Information Systems Journal. Jul2025, Vol. 35 Issue 4, p1294-1308. 15p.
Subjects: Digital transformation, Computer software developers, Behavioral research, Scholarly method, Ecosystem dynamics, Digital technology, Ecology
Abstract: The article focuses on the evolving concept of Digital Transformation (DT) within the field of Information Systems (IS) and emphasizes the need for a more nuanced understanding of its implications. It highlights two main motivations for a special issue: the necessity to critically reflect on existing assumptions surrounding DT and the importance of developing a systematic body of knowledge that addresses the plurality of DT literature. The authors propose a framework that includes four dimensions—distinctiveness, object, levels of analysis, and timing—to guide future research and ensure clarity in the discourse surrounding DT. Additionally, the article outlines various frontiers for future research, encouraging scholars to explore underrepresented areas and challenge prevailing narratives in DT studies. [Extracted from the article]
Copyright of Information Systems Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Digital Transformation: Quo Vadit?
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  Data: <searchLink fieldCode="JN" term="%22Information+Systems+Journal%22">Information Systems Journal</searchLink>. Jul2025, Vol. 35 Issue 4, p1294-1308. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Digital+transformation%22">Digital transformation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+developers%22">Computer software developers</searchLink><br /><searchLink fieldCode="DE" term="%22Behavioral+research%22">Behavioral research</searchLink><br /><searchLink fieldCode="DE" term="%22Scholarly+method%22">Scholarly method</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystem+dynamics%22">Ecosystem dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology%22">Ecology</searchLink>
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  Data: The article focuses on the evolving concept of Digital Transformation (DT) within the field of Information Systems (IS) and emphasizes the need for a more nuanced understanding of its implications. It highlights two main motivations for a special issue: the necessity to critically reflect on existing assumptions surrounding DT and the importance of developing a systematic body of knowledge that addresses the plurality of DT literature. The authors propose a framework that includes four dimensions—distinctiveness, object, levels of analysis, and timing—to guide future research and ensure clarity in the discourse surrounding DT. Additionally, the article outlines various frontiers for future research, encouraging scholars to explore underrepresented areas and challenge prevailing narratives in DT studies. [Extracted from the article]
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  Data: <i>Copyright of Information Systems Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185939678
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        Value: 10.1111/isj.12578
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        Text: English
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      – SubjectFull: Digital transformation
        Type: general
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      – SubjectFull: Behavioral research
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      – SubjectFull: Ecosystem dynamics
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              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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