{"id":"W4408532687","doi":"10.3390/admsci15030104","title":"Driving SME Growth Through Digital Leadership: Exploring Tenure and Transformation Dynamics","year":2025,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yorkville University","funders":"","keywords":"Dynamics (music); Business; Transformation (genetics); Digital transformation; Public relations; Knowledge management; Sociology; Political science; Computer science","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":[0.001405192,0.00011217,0.0001593177,0.0007468609,0.000791868,0.002854556,0.0002724321,0.0003714238,0.003127003],"category_scores_gemma":[0.005504101,0.0000740117,0.0002092381,0.0009616132,0.0008729745,0.002334948,0.001739158,0.0005511236,0.0003191166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102625,"about_ca_system_score_gemma":0.001753188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003407737,"about_ca_topic_score_gemma":0.005698121,"domain_scores_codex":[0.9993846,0.0002559766,0.00002643407,0.00005067325,0.0001016056,0.000180563],"domain_scores_gemma":[0.9960082,0.001716606,0.0009929687,0.0001651999,0.0004624644,0.0006545877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000115289,0.0005085589,0.8592202,0.00014408,0.00003113008,0.0007867989,0.02368931,0.002971422,0.001747059,0.02100971,0.001160591,0.08861583],"study_design_scores_gemma":[0.00002129344,0.0003821684,0.822886,0.0002094608,0.00002818339,0.0003657897,0.1216323,0.02237424,0.001610112,0.01773357,0.01271941,0.00003741944],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885343,0.0001032011,0.001114129,0.0005725085,0.00000558831,0.00001290511,0.00002533616,0.000006651172,0.00962545],"genre_scores_gemma":[0.9993129,0.00005215588,0.0001998384,0.00001287214,0.000002420516,0.000004497355,0.00001130948,0.000001289934,0.000402844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003407737,"threshold_uncertainty_score":0.01046091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1442784694002478,"score_gpt":0.3033619360484798,"score_spread":0.159083466648232,"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."}}