{"id":"W7116743238","doi":"10.20944/preprints202512.1762.v1","title":"Understanding Managerial Perceptions of Artificial Intelligence Adoption in Decision-Making","year":2025,"lang":"","type":"preprint","venue":"Preprints.org","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Software deployment; Perception; Process (computing); Thematic analysis; Qualitative research; Resistance (ecology)","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":[0.02406719,0.0004501963,0.0002706228,0.001683068,0.00226549,0.007186694,0.0007925663,0.001363862,0.00136306],"category_scores_gemma":[0.04665035,0.0004073062,0.0004068294,0.001025224,0.00563743,0.003539784,0.002410002,0.002530156,0.0002148507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003256276,"about_ca_system_score_gemma":0.003991952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00308521,"about_ca_topic_score_gemma":0.002702577,"domain_scores_codex":[0.9772824,0.01525698,0.0008637491,0.000575136,0.004197874,0.001823907],"domain_scores_gemma":[0.9387382,0.0387633,0.009788067,0.001401698,0.00650658,0.004802082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002337547,0.0006033019,0.231635,0.0006978008,0.0001648851,0.001265444,0.6570367,0.00159397,0.005229834,0.02674151,0.002160272,0.07263755],"study_design_scores_gemma":[0.00005747795,0.0009502317,0.1202099,0.001068069,0.00009066582,0.0006758782,0.8106658,0.004830652,0.001710133,0.01836246,0.04119662,0.0001821394],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783806,0.001106535,0.00341762,0.00587131,0.00005364212,0.00004582381,0.00001293303,0.00001606833,0.01109551],"genre_scores_gemma":[0.998453,0.0002843145,0.0006781484,0.0003268959,0.00001297448,0.00001207346,0.000006213168,0.000002725211,0.0002236165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02406719,"threshold_uncertainty_score":0.127281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3928149093877532,"score_gpt":0.4738034049601242,"score_spread":0.08098849557237109,"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."}}