Changes apply to all in-flight assessments. Historical completed assessments keep their original question text via version snapshots.
Every question is tagged at the database level to exactly one construct. This is the chain a consultant or client can show the stakeholder asking “where did this question come from?”
1 · Item
The AI strategy is aligned with the organization's broader digital transformation and national AI goals.
استراتيجية الذكاء الاصطناعي متوافقة مع أهداف التحول الرقمي وأهداف الدولة للذكاء الاصطناعي.
2 · Pillar
3 · Score map
| Option | Score (1–5) |
|---|---|
| 1 - Not at all | 1 |
| 2 - Early exploration | 2 |
| 3 - In progress | 3 |
| 4 - Mostly in place | 4 |
| 5 - Comprehensive | 5 |
Not yet surfaced to clients
This is an AI-suggested anchor. LLM citations can subtly hallucinate paper-level details. Verify the citations are accurate before clicking Accept; only then will they appear in the consultant report appendix.
Strategic alignment of AI initiatives with organizational goals
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.
Rationale: The item measures strategic alignment of AI initiatives with broader organizational transformation goals, which aligns with Davenport & Ronanki's framework for implementing AI strategy within organizational context.
Iansiti, M., & Lakhani, K. R. (2020). Competing in the age of AI. Harvard Business Review Press.
Rationale: The item reflects the strategic positioning and alignment concepts central to Iansiti & Lakhani's work on organizational AI strategy and competitive positioning.
For multiple choice / yes-no, enter options and score_map as JSON.