TableĀ 9

Consolidated EIDT results by engagement state, decision rule, and decision-support implication

Digital proficiency tierHighest weighted-payoff intervention by engagement stateFinal intervention selected under decision rulesDecision-support implicationAdvantage of the EIDT over other technical approaches
HighStrong: In-house mentorship; ModerateOnline tutorial under all rulesAlthough the highest-payoff intervention varies across engagement states, online tutorials provide the most robust overall choice across the rule setThe EIDT identifies a balanced option under behavioural uncertainty rather than relying on a single-state optimum
Online tutorial; Weak: Self-paced study
MediumStrong: In-house mentorship; Moderate: In-house mentorship; Weak: Self-paced studySelf-paced study under maximax, Laplace, Hurwicz, and minimax regret; Online tutorial under maximinThe medium tier shows that recommendations change with decision posture: self-paced study is attractive under upside, average, and regret-based reasoning, while tutorials are preferred under downside protectionThe EIDT makes organisational risk posture explicit in intervention selection
LowStrong: In-house mentorship; Moderate: In-house mentorship; Weak: Self-paced studySelf-paced study under maximax; In-house mentorship under maximin and Laplace; Self-paced study under Hurwicz and minimax regret after tie-break with in-house mentorshipThe low tier shows the greatest decision tensionThe EIDT surfaces this ambiguity, and resolves it transparently through explicit tie-break logic, showing where intervention choice is finely balanced rather than artificially definitive

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