Description of barriers
| Code | Barrier | Description |
|---|---|---|
| F1 | Data quality issues | Incomplete, inconsistent, or biased data undermining personalization accuracy |
| F2 | System integration issues | Lack of interoperability between AI systems and legacy infrastructure |
| F3 | Change resistance | Organizational reluctance to adopt or trust AI systems |
| F4 | Skill deficiency | Shortage of AI-literate marketing professionals |
| F5 | Ethical concerns | Algorithmic bias, fairness, and manipulation concerns |
| F6 | ROI uncertainty | Difficulty in quantifying AI’s financial impact |
| F7 | Data privacy concerns | Legal and consumer mistrust regarding personal data use |
| F8 | Limited awareness | Low perceived relevance or understanding of AI benefits |
| F9 | High costs | Significant implementation and maintenance expenditure |
| F10 | Infrastructure limitations | Insufficient computing, storage, and connectivity resources |
| Code | Barrier | Description |
|---|---|---|
| F1 | Data quality issues | Incomplete, inconsistent, or biased data undermining personalization accuracy |
| F2 | System integration issues | Lack of interoperability between |
| F3 | Change resistance | Organizational reluctance to adopt or trust |
| F4 | Skill deficiency | Shortage of AI-literate marketing professionals |
| F5 | Ethical concerns | Algorithmic bias, fairness, and manipulation concerns |
| F6 | Difficulty in quantifying AI’s financial impact | |
| F7 | Data privacy concerns | Legal and consumer mistrust regarding personal data use |
| F8 | Limited awareness | Low perceived relevance or understanding of |
| F9 | High costs | Significant implementation and maintenance expenditure |
| F10 | Infrastructure limitations | Insufficient computing, storage, and connectivity resources |
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