Conceptual alignment between strategic decision principles and structural features of the non-probabilistic decision tree
| Key strategic principle | Decision tree feature | Application to digital proficiency | References |
|---|---|---|---|
| True uncertainty | Non-probabilistic structure (no reliance on probabilities) | Enables decisions when digital outcomes (e.g. skill uptake, tool adoption) are unpredictable | Aven (2016), Nguyen and Broekhuizen (2022) |
| Scenario planning | Branches represent alternative digital readiness pathways | Allows modelling of diverse employee profiles (e.g. low literacy, latent competence, productivity) | Jafari and Van Looy (2025) |
| Adaptive reasoning | Re-entry points and feedback loops | Supports iterative development and re-evaluation as digital tools or roles evolve | Jafari and Van Looy (2025) |
| Regret minimisation | Minimax regret criterion embedded in branch logic | Helps avoid irreversible training investments or misaligned role assignments | Goodwin and Wright (2014) |
| Strategic flexibility | Modular tree design with optional paths | Accommodates organisational shifts, new technologies, or evolving strategic priorities | Belton and Stewart (2002) |
| Cognitive accessibility | Heuristic-based branching and simplified decision nodes | Empowers managers and employees to make informed choices without complex analytics | Kausel and Jackson (2020), Ragsdale (2021) |
| Multi-criteria decision-making | Embedded scoring and weighting logic at key decision nodes | Enables evaluation of digital strategies across multiple dimensions (e.g. cost, engagement, adaptability) | Belton and Stewart (2002), Bhushan and Rai (2004) |
| Key strategic principle | Decision tree feature | Application to digital proficiency | References |
|---|---|---|---|
| True uncertainty | Non-probabilistic structure (no reliance on probabilities) | Enables decisions when digital outcomes (e.g. skill uptake, tool adoption) are unpredictable | |
| Scenario planning | Branches represent alternative digital readiness pathways | Allows modelling of diverse employee profiles (e.g. low literacy, latent competence, productivity) | |
| Adaptive reasoning | Re-entry points and feedback loops | Supports iterative development and re-evaluation as digital tools or roles evolve | |
| Regret minimisation | Minimax regret criterion embedded in branch logic | Helps avoid irreversible training investments or misaligned role assignments | |
| Strategic flexibility | Modular tree design with optional paths | Accommodates organisational shifts, new technologies, or evolving strategic priorities | |
| Cognitive accessibility | Heuristic-based branching and simplified decision nodes | Empowers managers and employees to make informed choices without complex analytics | |
| Multi-criteria decision-making | Embedded scoring and weighting logic at key decision nodes | Enables evaluation of digital strategies across multiple dimensions (e.g. cost, engagement, adaptability) |
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