A Framework for Corporate Artificial Intelligence Strategy
- 1. www.dhbw-stuttgart.de Kajetan Schuler & Dennis Schlegel Reutlingen University, Germany A Framework for Corporate Artificial Intelligence Strategy
- 2. Kajetan Schuler & Dennis Schlegel Introduction β’ Problem statement and research gap β’ Increasing use of AI in corporate context to enhance productivity, customer experience and decision making β’ Lack of clear AI strategy from holistic point of view in many organizations β’ Need to establish an AI strategy to systematically exploit the emerging opportunities of the technology β’ Little discussion in the academic community about how to build such a strategy β’ Research aim β’ Development of a conceptual framework for corporate AI strategy 2
- 3. Kajetan Schuler & Dennis Schlegel Research Approach 3 Systematic literature review Factor extraction Inductive coding/ codes-to-theory model Modeling relationships Papers Factors Concepts/ Themes Framework
- 4. Kajetan Schuler & Dennis Schlegel Results: Inductive Coding Factor / Code Category Theme Single source of truth Data storage Data Lack of standardization Data platform Data availability Data management Data quality Data collection Data sources Data management Data culture Data governance Data security Culture Corporate culture Organization Mindset User resistance High expectations Trust in technology Top management support Leadership Top-down Guidance Leadership skills Communication Communication Integrate stakeholders Visualization of strategy Understanding of strategy Business to IT communication Change Management Collaboration Integration of C level Organizational structure Central analytics team Organizational structure Appoint CDO Clear responsibilities 4 Factor / Code Category Theme Mainstream vendors Technology Infrastructure Compatibility Implementation process Understandable technology IT resources Technical architecture Deploy in existing systems Silo-oriented systems Flexible infrastructure Complexity Sourcing Make or buy IT capabilities Organizational capabilities Capabilities IT not a core competency Training Human resources HR strategy Lack of employees with AI skills Lack of understanding Individual skills AI knowledge Ethical conditions Ethical conditions Constraints Legal conditions Legal conditions Identify use cases Use Cases Use Cases Business as driver of use cases Financial justification Repetitive tasks Decision process for AI- technologies Decision processes Managerial processes Selection process for use cases Alignment of strategies Strategic alignment
- 5. Kajetan Schuler & Dennis Schlegel Results: Framework 5
- 6. Kajetan Schuler & Dennis Schlegel Summary & Implications β’ Framework can serve as an aid for practitioners to develop AI strategy β’ Companies should consider diverse aspects when formulating an AI strategy β’ Not only technology, but organizational and managerial aspects seem to very important to ensure a successful AI strategy β’ Alignment of AI strategy with overall business strategy and other domain- specific strategies is crucial β’ The framework shows the necessity for interdisciplinary collaboration in practical and academic environments 6
- 7. Kajetan Schuler & Dennis Schlegel Limitations & Further Research β’ The studyβs analysis relies on prior studies that were conducted based on different methodologies β’ Possible source of bias β’ Findings may not be transferable to other contexts β’ This study was meant to give a holistic overview, therefore it does not cover detailed advice regarding the different themes β’ It is therefore recommended to corroborate and expand this research β’ Possible research designs: Interviews or case studies β’ Detailed recommendations and guidance for the themes of the framework should be elaborated 7