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confirming that digital literacy interventions at the foundational level produce statistically
significant improvements in national and organisational digital maturity indices. The
hypothetical evaluation plan anticipates that HCDAF treatment-group enterprises will
record Corporate Digital Readiness Scores that are measurably higher than those of the
control group.
4.2.2. H2 – Continuous reskilling and workforce retention
Evidence supporting H2 is drawn primarily from the macroeconomic and labour
dynamics literature. Nozharov & Koralova-Nozharova (2022) demonstrate a statistically
significant negative correlation between the pace of digital adoption and low-skilled
employment rates in economies that lack structured reskilling infrastructure. Module 2 of
the HCDAF addresses this by establishing perpetual internal academies and micro-
credentialing systems. The talent agglomeration effects documented by Huang (2023)
further suggest that enterprises with proactive upskilling pipelines attract and retain
higher-skilled talent, thereby reducing reliance on costly external hiring. The evaluation
plan's secondary metric -tracking internal promotion versus external recruitment rates -is
designed to quantify this outcome directly.
4.2.3. H3 – Strategic HR governance and talent agglomeration
Support for H3 is derived from both the urban ecosystem literature and the
decentralised trust framework. Huang (2023) demonstrates that talent agglomeration is
not a spontaneous market phenomenon but is actively driven by institutional decisions -
particularly in organisations and municipalities that invest in enabling digital
infrastructure. Goodell (2021) further establishes that when human-centric principles
govern digital system design, employee trust and engagement increase, reducing attrition.
Module 3 of the HCDAF operationalises these findings by embedding data analytics and
privacy-respecting governance directly into HR strategy. The use of sovereign digital
payment infrastructure (Su et al., 2022) and open banking frameworks (Junior et al., 2024)
also signals the growing necessity of a workforce fluent in decentralised financial
environments - a competency profile that only strategic HR governance can systematically
develop.
4.3. Proposed pilot study and empirical validation
To address the conceptual nature of the HCDAF, this section outlines a Proposed
Pilot Study designed for empirical validation. This pilot aims to transition the framework
from theoretical proposition to practical application, gathering quantitative data on its
effectiveness.
4.4. Pilot study methodology
1. Participant Selection: A cohort of 5-10 mid-sized enterprises (e.g., 50-250
employees) from diverse sectors will be recruited as ‘treatment’ groups. A similar number
of comparable enterprises will serve as ‘control’ groups, maintaining their existing HR and
training paradigms.
2. Intervention Period: The pilot study will run for a minimum of 6 months, allowing
sufficient time for HCDAF implementation (across all three modules) and observable
changes in human capital metrics.
3. Data Collection: Data will be collected at baseline (T0) and at the end of the 6
months (T1) using the instruments proposed in Section 2.3.3. This includes Corporate
Digital Readiness Surveys, HR Analytics Dashboards, and qualitative interviews.
Table 4 presents the proposed quasi-experimental evaluation design, contrasting
HCDAF treatment enterprises with the control group across all key metrics. This table

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