{"id":"W2001591664","doi":"10.5465/ambpp.2014.132","title":"Deconstructing Complexity: How Organizations Cope with Multiple Institutional Logics","year":2014,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Situational ethics; Legitimacy; Scholarship; Relevance (law); Complexity theory and organizations; Prioritization; Field (mathematics); Institutional theory; Organizational field; Knowledge management; Sociology; Epistemology; Political science; Computer science; Business; Social psychology; Psychology; Process management; Organizational learning; Social science; Politics","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":[0.02025941,0.0006993762,0.0008226764,0.004505798,0.007728751,0.02278091,0.003086305,0.004027762,0.002700042],"category_scores_gemma":[0.02160985,0.0007630726,0.0009715335,0.00248417,0.06483983,0.02682422,0.01788012,0.003898896,0.0004051636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005933935,"about_ca_system_score_gemma":0.006883585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003383335,"about_ca_topic_score_gemma":0.002906829,"domain_scores_codex":[0.9804931,0.01291789,0.0005917312,0.001455278,0.002227883,0.002314037],"domain_scores_gemma":[0.9807572,0.01073603,0.002364466,0.002984641,0.001413413,0.001744229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005197232,0.00005126152,0.007805587,0.0001608104,0.00006436505,0.0005140566,0.1242599,0.00612586,0.001534157,0.8338376,0.0009279287,0.02466649],"study_design_scores_gemma":[0.00002902487,0.00007148038,0.002421479,0.0002081667,0.00002993063,0.0002766522,0.07310947,0.005542826,0.0005521251,0.8928415,0.0248436,0.0000737594],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5087446,0.002028538,0.2716441,0.03141588,0.0001624426,0.0002545321,0.00006062106,0.0003437668,0.1853455],"genre_scores_gemma":[0.9830921,0.0002008068,0.01446842,0.0004284565,0.00002485717,0.00006872598,0.00002043584,0.00004194626,0.001654175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02278091,"threshold_uncertainty_score":0.1071433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471972647649467,"score_gpt":0.2130912282634941,"score_spread":0.1883715017869995,"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."}}