2333 diagnostic-before-design methodology that transforms how organizations prepare workforces for technological transitions—from assumption-based uniform programs to evidence-based differentiated interventions. It contributes to Trust by demonstrating empirically that supervisory relationships—the organizational embodiment of trust—explain more variance in change readiness than any demographic variable, positioning trust-building as a measurable lever rather than an aspirational goal. And it operationalizes Technology adoption not as a technical implementation challenge but as a human system requiring cultural calibration, where adaptive learning algorithms respond to individual worker profiles rather than treating the workforce as homogeneous. The scope encompasses workforce preparation for technological transition in copper fire refining operations at a single division of a state-owned mining company, combining quantitative assessment (360degree evaluations, n=60, 84.5% population coverage) with qualitative analysis (1,320 worker narratives) and game theory interpretation of coordination dynamics. While findings are site-specific, the methodology—sequential cultural diagnosis informing adaptive learning design—is intended as a transferable framework for Mining 4.0 contexts globally where existing workforces must develop new competencies rather than be replaced. 3. METHODOLOGY 3.1 Research Design and Population The study employed a concurrent mixed-methods design integrating quantitative and qualitative approaches for evidence triangulation, adopting pragmatic epistemology to capture the multidimensional nature of organizational readiness. The design is cross-sectional with descriptive-correlational scope and explanatory elements derived from game theory analysis. The study population comprised all 71 workers in the Fire Refining Area, achieving 84.5% coverage (n=60). Given this near-census coverage, calculated statistics represent actual population parameters rather than sample estimates. The workforce is 100% male, with mean age of 44.8 years (SD=10.2), mean tenure of 13.1 years, and 16.7% reconverted from the closed smelter. Data processing used Python 3.10 with non-parametric tests (Mann-Whitney U, Kruskal-Wallis H, Spearman’s ρ) and Bonferroni correction for multiple comparisons. 3.2 The Hierarchical Productivity Model The diagnostic foundation employs a validated hierarchical nested model where psychological dimensions interact multiplicatively rather than additively. The model is expressed as: Productivity = Attitude × Commitment × [(Discipline + Motivation) / 2] The nested structure reflects three principles: hierarchy of influence, where higher-level variables (Attitude, Commitment) modulate lower-level ones; limited compensation, where severe deficiencies in any dimension constrain performance regardless of other strengths; and synergistic interaction, where combined dimensions produce effects exceeding individual contributions. The multiplicative architecture means that a worker with excellent discipline (4.5/5.0) but low commitment (2.0/5.0) achieves a fundamentally different productivity profile than one with moderate scores across all dimensions—a critical distinction for differentiated intervention design. The index yields a theoretical range of 1–125 points. The model enables strategic segmentation into four quadrants based on two meta-indices: Base Capabilities (Discipline + Motivation)/2 on the horizontal axis, and Enhancers (Commitment + Attitude)/2 on the vertical axis, using empirically-derived median cutpoints. This segmentation produces four actionable categories—Change Agents, To Prepare, To Monitor, and Requiring Intervention—each with distinct intervention pathways and projected success probabilities. 3.3 360° Assessment Instrument The study implemented 360° multisource evaluation integrating four perspectives weighted to minimize social desirability bias: direct supervisor (40%), self-evaluation (20%), peer evaluation (20%), and objective HR indicators (20%). The instrument evaluates four psychological dimensions: Self-Discipline (capacity to maintain work standards without constant supervision), Self-Motivation (internal drive toward
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