{"id":"W3143231775","doi":"","title":"Examining the effects of contextual factors on TQM and performance through the lens of organizational theories: An empirical study","year":2007,"lang":"en","type":"article","venue":"Quality Engineering","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Total quality management; Contingency theory; Contingency; Context (archaeology); Scope (computer science); Business; Argument (complex analysis); Organizational performance; Empirical research; Knowledge management; Quality (philosophy); Process management; Psychology; Marketing; Computer science; Statistics; Mathematics; Lean manufacturing","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":[0.009273712,0.0003902901,0.000526329,0.002586888,0.0019493,0.003064132,0.0008888553,0.0008257618,0.003547105],"category_scores_gemma":[0.03752471,0.0004085855,0.000577443,0.004279334,0.003409843,0.0019887,0.003022084,0.001446408,0.000227544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003512221,"about_ca_system_score_gemma":0.003781081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006875284,"about_ca_topic_score_gemma":0.009293504,"domain_scores_codex":[0.9899369,0.006683078,0.0004083793,0.0006233847,0.001601112,0.0007469887],"domain_scores_gemma":[0.9010148,0.07542221,0.01275313,0.003075943,0.005026796,0.002707138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002142599,0.002426119,0.9441397,0.0003171072,0.0002366767,0.0003661757,0.01423858,0.002338228,0.000594123,0.007854833,0.000395245,0.0268789],"study_design_scores_gemma":[0.00004254667,0.0009031215,0.9449067,0.0001896292,0.000171084,0.00009841359,0.04176344,0.00636477,0.0006795455,0.003007293,0.001825202,0.00004815894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967479,0.0001326251,0.0007530795,0.000124022,0.000003944865,0.00006181455,0.00004448427,0.000004472624,0.002127757],"genre_scores_gemma":[0.9992979,0.00007165576,0.0004898948,0.00002360258,0.000004378673,0.00003425118,0.00002535056,0.000001882459,0.00005114369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009273712,"threshold_uncertainty_score":0.04904467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04033840947664724,"score_gpt":0.2831673675143815,"score_spread":0.2428289580377342,"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."}}