{"id":"W4411886131","doi":"10.1057/s41599-025-05184-1","title":"Navigating ethical decision-making in digital transformation: ethical climate, digital competence, and person-organization fit in China’s banking sector","year":2025,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"Southwest University","keywords":"China; Competence (human resources); Digital transformation; Business; Ethical values; Engineering ethics; Psychology; Knowledge management; Political science; Computer science; Engineering; Social psychology; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002805303,0.0001284863,0.0002365715,0.0002583399,0.00277145,0.00286767,0.0008640725,0.0003014425,0.00005115332],"category_scores_gemma":[0.002347677,0.0001149229,0.00003473795,0.0017208,0.001698736,0.001337868,0.0003861061,0.001319436,0.000003197823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008383893,"about_ca_system_score_gemma":0.0002119626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280486,"about_ca_topic_score_gemma":0.002082217,"domain_scores_codex":[0.9980177,0.000162499,0.0006172181,0.0003190775,0.0006246266,0.0002588251],"domain_scores_gemma":[0.9949119,0.004350744,0.0001576377,0.0002685412,0.0002902059,0.00002099084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000006342072,0.00006016828,0.07146217,0.00002928757,0.000002977043,4.829893e-7,0.09268527,0.00006945034,0.000004023635,0.7876953,0.0000612425,0.04792322],"study_design_scores_gemma":[0.0003932177,0.00003511873,0.427914,0.0009455969,0.000007682185,0.000008110927,0.1701775,0.01581116,0.000001324013,0.3828365,0.001533137,0.0003367077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504309,0.0003123335,0.001596712,0.02500241,0.0001856733,0.0001995252,0.00002787302,0.00003565894,0.02220896],"genre_scores_gemma":[0.997725,0.0002415216,0.000875042,0.001076062,0.00003261214,0.00001277681,0.00001708007,0.000005370827,0.00001451866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4048589,"threshold_uncertainty_score":0.9985268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2067330540414847,"score_gpt":0.4325786692963901,"score_spread":0.2258456152549054,"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."}}