{"id":"W4403273667","doi":"10.1080/26437015.2024.2404177","title":"The human element in digital transformation: The role of talent management for SMEs","year":2024,"lang":"en","type":"article","venue":"Journal of the International Council for Small Business","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Element (criminal law); Business; Digital transformation; Talent management; Transformation (genetics); Human resource management; Knowledge management; Management; Business administration; Marketing; Computer science; Political science; Economics; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138847,0.0001416039,0.0001931075,0.001666042,0.0008724237,0.002535264,0.0003122634,0.0004542845,0.003288739],"category_scores_gemma":[0.007999672,0.0000705424,0.0001587054,0.002123426,0.001716459,0.0013488,0.001611655,0.0005128864,0.0002318261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710999,"about_ca_system_score_gemma":0.001676947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006605376,"about_ca_topic_score_gemma":0.007049766,"domain_scores_codex":[0.9989755,0.0005142291,0.0000462616,0.00008669106,0.0001657275,0.0002116481],"domain_scores_gemma":[0.9934675,0.003908242,0.001076924,0.0002786723,0.0003774675,0.000891213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001784334,0.0002675288,0.7951198,0.0003234445,0.00009719978,0.0007721473,0.01550574,0.007607234,0.001401349,0.0238182,0.001048997,0.15386],"study_design_scores_gemma":[0.0000115643,0.0001713202,0.9428631,0.0002767863,0.00005317288,0.0002084566,0.0229942,0.008364942,0.00107145,0.01590045,0.00804044,0.00004413621],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857259,0.0004869661,0.001198733,0.001246299,0.000007619419,0.0000169298,0.00005421561,0.00000863815,0.0112547],"genre_scores_gemma":[0.9996281,0.00007001346,0.0001092219,0.00001858863,0.000002772238,0.000003579934,0.000009559821,5.972882e-7,0.0001575856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006605376,"threshold_uncertainty_score":0.01313388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04408271808350062,"score_gpt":0.235632926280932,"score_spread":0.1915502081974313,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}