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An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself. -->== | An abstract is required for every document; it should succinctly summarize the reason for the work, the main findings, and the conclusions of the study. Abstract is often presented separately from the article, so it must be able to stand alone. For this reason, references and hyperlinks should be avoided. If references are essential, then cite the author(s) and year(s). Also, non-standard or uncommon abbreviations should be avoided, but if essential they must be defined at their first mention in the abstract itself. -->== | ||
| + | '''An Integrative Framework for AI-Readiness and Market Disruption: The AI-Readiness and Market Dynamics Disruption Index (AIM-DDI) for Competitive AI Leadership''' | ||
| + | This study explores the novel methodology AI-Readiness and Market Dynamics Disruption Index (AIM-DDI) Framework. This framework assesses an organization's preparedness for artificial intelligence (AI) adoption and its capacity to navigate AI-driven market disruptions. AI's rapid evolution has made it a crucial driver of business transformation and competitive edge. However, organizations face challenges in understanding their AI integration readiness and potential AI-driven market disruptions. The AIM-DDI Framework evaluates an organization's internal capabilities, such as AI strategy, infrastructure, talent, implementation, and ethics. Additionally, it examines external market dynamics like customer expectations, competitors' AI maturity, industry disruption potential, regulatory landscape, and AI talent ecosystem. The AIM-DDI Framework offers valuable insights by providing a comprehensive view of an organization's position and potential strategic directions in the AI-driven landscape. We will present the initial survey results validating the framework and demonstrating its practical application and effectiveness in assessing organizational AI readiness. The AIM-DDI Framework is willing to serve as a holistic toolkit for organizations to identify strengths, areas for improvement, and strategies to leverage AI for sustainable competitive success. | ||
| − | + | '''Keywords:''' Strategy, Competitive Advantage, Market Disruption, Disruptive Innovation, AI Readiness, AI Maturity, AIM-DDI Framework, Strategic Planning. | |
==2 The main text<!-- You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option. | ==2 The main text<!-- You can enter and format the text of this document by selecting the ‘Edit’ option in the menu at the top of this frame or next to the title of every section of the document. This will give access to the visual editor. Alternatively, you can edit the source of this document (Wiki markup format) by selecting the ‘Edit source’ option. | ||
Revision as of 07:40, 12 April 2024
1 Title, abstract and keywords
An Integrative Framework for AI-Readiness and Market Disruption: The AI-Readiness and Market Dynamics Disruption Index (AIM-DDI) for Competitive AI Leadership This study explores the novel methodology AI-Readiness and Market Dynamics Disruption Index (AIM-DDI) Framework. This framework assesses an organization's preparedness for artificial intelligence (AI) adoption and its capacity to navigate AI-driven market disruptions. AI's rapid evolution has made it a crucial driver of business transformation and competitive edge. However, organizations face challenges in understanding their AI integration readiness and potential AI-driven market disruptions. The AIM-DDI Framework evaluates an organization's internal capabilities, such as AI strategy, infrastructure, talent, implementation, and ethics. Additionally, it examines external market dynamics like customer expectations, competitors' AI maturity, industry disruption potential, regulatory landscape, and AI talent ecosystem. The AIM-DDI Framework offers valuable insights by providing a comprehensive view of an organization's position and potential strategic directions in the AI-driven landscape. We will present the initial survey results validating the framework and demonstrating its practical application and effectiveness in assessing organizational AI readiness. The AIM-DDI Framework is willing to serve as a holistic toolkit for organizations to identify strengths, areas for improvement, and strategies to leverage AI for sustainable competitive success.
Keywords: Strategy, Competitive Advantage, Market Disruption, Disruptive Innovation, AI Readiness, AI Maturity, AIM-DDI Framework, Strategic Planning.
2 The main text
3 Bibliography
4 Acknowledgments
5 References
Document information
Published on 31/05/24
Submitted on 12/04/24
Licence: CC BY-NC-SA license
