{"id":"W4405423138","doi":"10.1080/14778238.2024.2441154","title":"The effects of absorptive capacity on competitive intelligence in a turbulent market","year":2024,"lang":"en","type":"article","venue":"Knowledge Management Research & Practice","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec","funders":"","keywords":"Absorptive capacity; Structural equation modeling; Competition (biology); Competitive advantage; Competitive intelligence; Industrial organization; Business; Affect (linguistics); Market competition; Marketing; Economics; Psychology; Computer science; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001985441,0.0001743941,0.0002097711,0.001338654,0.0009380489,0.002227369,0.0002874605,0.0003110257,0.002342685],"category_scores_gemma":[0.00948842,0.000131323,0.0001871023,0.001116148,0.002223264,0.0009441408,0.00143193,0.0005264274,0.0001352817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004085226,"about_ca_system_score_gemma":0.005379442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1212766,"about_ca_topic_score_gemma":0.2187041,"domain_scores_codex":[0.9989341,0.0003544508,0.00004808489,0.00008321179,0.0003039421,0.0002761772],"domain_scores_gemma":[0.9846746,0.008150935,0.003109967,0.0004562668,0.001477176,0.002131214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001587884,0.0001778424,0.9733925,0.00003398871,0.00005610882,0.0002119311,0.002558994,0.002206252,0.001039144,0.002772024,0.0001791162,0.01721326],"study_design_scores_gemma":[0.000003670164,0.00005534053,0.995465,0.00001428319,0.000008431348,0.00002206515,0.001892995,0.001586503,0.0001409755,0.0004976603,0.0003056927,0.000007457845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964139,0.0000380157,0.00009365494,0.00009698682,9.059109e-7,0.000005167017,0.00001311384,0.000002119116,0.003336113],"genre_scores_gemma":[0.999827,0.00001780776,0.00004147213,0.00000500629,6.217966e-7,0.000001013722,0.000007501576,4.513325e-7,0.00009917935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1212766,"threshold_uncertainty_score":0.2411415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04503920885405217,"score_gpt":0.3522741522833425,"score_spread":0.3072349434292904,"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."}}