Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation
<p dir="ltr">In an era defined by technological disruption, the integration of artificial intelligence (AI) into business processes is both strategic and challenging. As AI continues to disrupt and reshape industries and revolutionize business processes, organizations must take proac...
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2024
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| _version_ | 1864513545052356608 |
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| author | Abdulaziz Aldoseri (21633662) |
| author2 | Khalifa N. Al-Khalifa (21633665) Abdel Magid Hamouda (17430999) |
| author2_role | author author |
| author_facet | Abdulaziz Aldoseri (21633662) Khalifa N. Al-Khalifa (21633665) Abdel Magid Hamouda (17430999) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abdulaziz Aldoseri (21633662) Khalifa N. Al-Khalifa (21633665) Abdel Magid Hamouda (17430999) |
| dc.date.none.fl_str_mv | 2024-02-08T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/asi7010014 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Methodological_Approach_to_Assessing_the_Current_State_of_Organizations_for_AI-Based_Digital_Transformation/29446160 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Manufacturing engineering Information and computing sciences Artificial intelligence AI readiness assessment business processes data infrastructure |
| dc.title.none.fl_str_mv | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">In an era defined by technological disruption, the integration of artificial intelligence (AI) into business processes is both strategic and challenging. As AI continues to disrupt and reshape industries and revolutionize business processes, organizations must take proactive steps to assess their readiness and capabilities to effectively leverage AI technologies. This research focuses on the assessment elements required to evaluate an organization’s current state in preparation for AI-based digital transformation. This research is based on a literature review and practical insights derived from extensive experience in industrial system engineering. This paper outlines the key assessment elements that organizations should consider to ensure successful and sustainable AI-based digital transformation. This emphasizes the need for a comprehensive approach to assess the organization’s data infrastructure, governance practices, and existing AI capabilities. Furthermore, the research work focuses on the evaluation of AI talent and skills within the organization, considering the significance of fostering an innovative culture and addressing change management challenges. The results of this study provide organizations with elements to assess their current state for AI-based digital transformation. By adopting and implementing the proposed guidelines, organizations can gain a holistic perspective of their current standing, identify strategic opportunities for AI integration, mitigate potential risks, and strategize a successful path forwards in the evolving landscape of AI-driven digital transformation.</p><h2>Other Information</h2><p dir="ltr">Published in: Applied System Innovation<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/asi7010014" target="_blank">https://dx.doi.org/10.3390/asi7010014</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_0f66314e1be18df9514b2a7dee21ec7f |
| identifier_str_mv | 10.3390/asi7010014 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29446160 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital TransformationAbdulaziz Aldoseri (21633662)Khalifa N. Al-Khalifa (21633665)Abdel Magid Hamouda (17430999)EngineeringManufacturing engineeringInformation and computing sciencesArtificial intelligenceAI readiness assessmentbusiness processesdata infrastructure<p dir="ltr">In an era defined by technological disruption, the integration of artificial intelligence (AI) into business processes is both strategic and challenging. As AI continues to disrupt and reshape industries and revolutionize business processes, organizations must take proactive steps to assess their readiness and capabilities to effectively leverage AI technologies. This research focuses on the assessment elements required to evaluate an organization’s current state in preparation for AI-based digital transformation. This research is based on a literature review and practical insights derived from extensive experience in industrial system engineering. This paper outlines the key assessment elements that organizations should consider to ensure successful and sustainable AI-based digital transformation. This emphasizes the need for a comprehensive approach to assess the organization’s data infrastructure, governance practices, and existing AI capabilities. Furthermore, the research work focuses on the evaluation of AI talent and skills within the organization, considering the significance of fostering an innovative culture and addressing change management challenges. The results of this study provide organizations with elements to assess their current state for AI-based digital transformation. By adopting and implementing the proposed guidelines, organizations can gain a holistic perspective of their current standing, identify strategic opportunities for AI integration, mitigate potential risks, and strategize a successful path forwards in the evolving landscape of AI-driven digital transformation.</p><h2>Other Information</h2><p dir="ltr">Published in: Applied System Innovation<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/asi7010014" target="_blank">https://dx.doi.org/10.3390/asi7010014</a></p>2024-02-08T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/asi7010014https://figshare.com/articles/journal_contribution/Methodological_Approach_to_Assessing_the_Current_State_of_Organizations_for_AI-Based_Digital_Transformation/29446160CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294461602024-02-08T03:00:00Z |
| spellingShingle | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation Abdulaziz Aldoseri (21633662) Engineering Manufacturing engineering Information and computing sciences Artificial intelligence AI readiness assessment business processes data infrastructure |
| status_str | publishedVersion |
| title | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation |
| title_full | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation |
| title_fullStr | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation |
| title_full_unstemmed | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation |
| title_short | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation |
| title_sort | Methodological Approach to Assessing the Current State of Organizations for AI-Based Digital Transformation |
| topic | Engineering Manufacturing engineering Information and computing sciences Artificial intelligence AI readiness assessment business processes data infrastructure |