{"id":"W2072572090","doi":"10.5465/amj.2009.0891","title":"Change Agents, Networks, and Institutions: A Contingency Theory of Organizational Change","year":2012,"lang":"en","type":"article","venue":"Academy of Management Journal","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":421,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Organizational change; Contingency theory; Organizational theory; Organizational behavior; Contingency; Knowledge management; Business; Psychology; Process management; Social psychology; Public relations; Economics; Management; Computer science; Epistemology; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.001002774,0.0001767783,0.0002369859,0.0004107663,0.0003037759,0.00005604324,0.0002635479,0.00006332919,0.0007370551],"category_scores_gemma":[0.0000681791,0.000159221,0.00005633964,0.0006614532,0.0001258744,0.001706792,0.000503408,0.0001499011,0.00002247617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001934356,"about_ca_system_score_gemma":0.000002649123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008442812,"about_ca_topic_score_gemma":0.00000104607,"domain_scores_codex":[0.9986789,0.00002369779,0.0004552133,0.0001434169,0.0003912108,0.0003075616],"domain_scores_gemma":[0.9992031,0.00003383415,0.000563452,0.00006535682,0.0001073653,0.0000268384],"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":[0.00002106534,0.0001205764,0.2429046,0.000288011,0.0002562322,0.000001353106,0.0001773682,0.00001023499,0.000004245088,0.7438123,0.006358434,0.006045588],"study_design_scores_gemma":[0.000940883,0.00001067268,0.8185462,0.0002234945,0.000483682,0.000007086734,0.0007649487,0.0002107155,0.00001362306,0.02117903,0.1573178,0.0003018698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4654083,0.1328999,0.04577977,0.03039298,0.007125299,0.008318136,0.00003961571,0.0006335626,0.3094024],"genre_scores_gemma":[0.9893444,0.004120552,0.0004697609,0.003011132,0.002716923,0.00002123938,0.00001348568,0.00002328272,0.0002792468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7226333,"threshold_uncertainty_score":0.8070237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08156583172697891,"score_gpt":0.2699488270931762,"score_spread":0.1883829953661973,"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."}}