https://wiki.scottishaiplaybook.com/api.php?action=feedcontributions&feedformat=atom&user=LucianaBlaha 2026-05-11T18:22:39Z User contributions MediaWiki 1.37.2 https://wiki.scottishaiplaybook.com/index.php?title=Exploring_artificial_intelligence_adoption_in_public_organizations:_a_comparative_case_study&diff=1239 2023-01-31T15:50:18Z

<p>LucianaBlaha: /* Link to resource */</p> <hr /> <div>==Introduction ==<br /> <br /> A peer-reviewed open-source article suggesting that the importance of technological and organizational factors varies depending on the organization’s stage in the adoption process, whereas environmental factors are generally less critical, with a focus on the specificities of AI adoption in public organizations throughout the different adoption stages.<br /> <br /> Published by Oliver Neumann, Katharina Guirguis &amp; Reto Steiner in the Public Management Review academic journal [open-source].<br /> <br /> == Link to resource ==<br /> <br /> [https://www.tandfonline.com/doi/full/10.1080/14719037.2022.2048685 Exploring artificial intelligence adoption in public organizations: a comparative case study]<br /> <br /> [[Category:Business]]<br /> [[Category:Academia]]<br /> [[Category:Business]]<br /> [[Category:Researchers]]<br /> [[Category:Academic Papers]]</div>

LucianaBlaha https://wiki.scottishaiplaybook.com/index.php?title=Exploring_artificial_intelligence_adoption_in_public_organizations:_a_comparative_case_study&diff=1238 2023-01-31T15:48:48Z

<p>LucianaBlaha: </p> <hr /> <div>==Introduction ==<br /> <br /> A peer-reviewed open-source article suggesting that the importance of technological and organizational factors varies depending on the organization’s stage in the adoption process, whereas environmental factors are generally less critical, with a focus on the specificities of AI adoption in public organizations throughout the different adoption stages.<br /> <br /> Published by Oliver Neumann, Katharina Guirguis &amp; Reto Steiner in the Public Management Review academic journal [open-source].<br /> <br /> == Link to resource ==<br /> <br /> [https://www.tandfonline.com/doi/full/10.1080/14719037.2022.2048685]<br /> <br /> [[Category:Business]]<br /> [[Category:Academia]]<br /> [[Category:Business]]<br /> [[Category:Researchers]]<br /> [[Category:Academic Papers]]</div>

LucianaBlaha https://wiki.scottishaiplaybook.com/index.php?title=Exploring_artificial_intelligence_adoption_in_public_organizations:_a_comparative_case_study&diff=1237 2023-01-31T15:45:21Z

<p>LucianaBlaha: Added article, link and authors to be added once format checked.</p> <hr /> <div>Despite the enormous potential of artificial intelligence (AI), many public organizations struggle to adopt this technology. Simultaneously, empirical research on what determines successful AI adoption in public settings remains scarce. Using the technology organization environment (TOE) framework, we address this gap with a comparative case study of eight Swiss public organizations. This open-source article suggests that the importance of technological and organizational factors varies depending on the organization’s stage in the adoption process, whereas environmental factors are generally less critical. Accordingly, this study advances theoretical understanding of the specificities of AI adoption in public organizations throughout the different adoption stages.</div>

LucianaBlaha https://wiki.scottishaiplaybook.com/index.php?title=Working_and_Organizing_in_the_Age_of_the_Learning_Algorithm_(Information_and_Organization,_Faraj,_Pachidi_and_Sayegh)(2018)&diff=815 2022-10-28T10:52:25Z

<p>LucianaBlaha: </p> <hr /> <div>== Introduction ==<br /> <br /> A peer-reviewed analysis paper showing how learning algorithms can transform expertise in organizations, reshape work and occupational boundaries, and offer novel forms of coordination and control. <br /> <br /> The paper provides examples as to how, as a consequence, algorithm use can shape and alter work and organizational realities. <br /> <br /> Published by Faraj, S., Pachidi, S., &amp; Sayegh, K. in the &#039;&#039;Information &amp; Organization&#039;&#039; Journal, and hosted by the University of Cambridge Repository. <br /> <br /> == Link to resource ===<br /> <br /> [[https://www.repository.cam.ac.uk/handle/1810/276663 Working and Organizing in the Age of the Learning Algorithm]]<br /> <br /> [[Category:Editathon]]<br /> [[Category:Business]]<br /> [[Category:Academia]]<br /> [[Category:Business]]<br /> [[Category:Researchers]]<br /> [[Category:Academic Papers]]</div>

LucianaBlaha https://wiki.scottishaiplaybook.com/index.php?title=Working_and_Organizing_in_the_Age_of_the_Learning_Algorithm_(Information_and_Organization,_Faraj,_Pachidi_and_Sayegh)(2018)&diff=814 2022-10-28T10:49:52Z

<p>LucianaBlaha: Created page with &quot;== Introduction == A peer-reviewed analysis paper showing how learning algorithms can transform expertise in organizations, reshape work and occupational boundaries, and offer novel forms of coordination and control. The paper provides examples as to how, as a consequence, algorithm use can shape and alter work and organizational realities. Published by Faraj, S., Pachidi, S., &amp; Sayegh, K. in the &#039;&#039;Information &amp; Organization&#039;&#039; Journal, and hosted by the University o...&quot;</p> <hr /> <div>== Introduction ==<br /> <br /> A peer-reviewed analysis paper showing how learning algorithms can transform expertise in organizations, reshape work and occupational boundaries, and offer novel forms of coordination and control. <br /> <br /> The paper provides examples as to how, as a consequence, algorithm use can shape and alter work and organizational realities. <br /> <br /> Published by Faraj, S., Pachidi, S., &amp; Sayegh, K. in the &#039;&#039;Information &amp; Organization&#039;&#039; Journal, and hosted by the University of Cambridge Repository. <br /> <br /> == Link to resource ===<br /> <br /> [[https://www.repository.cam.ac.uk/handle/1810/276663 Working and Organizing in the Age of the Learning Algorithm]]</div>

LucianaBlaha