{"id":"W4223898259","doi":"10.1111/joms.12819","title":"Algorithmic Routines and Dynamic Inertia: How Organizations Avoid Adapting to Changes in the Environment","year":2022,"lang":"en","type":"article","venue":"Journal of Management Studies","topic":"Management and Organizational Studies","field":"Business, Management and Accounting","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Inertia; Phenomenon; Compartmentalization (fire protection); Adaptation (eye); Computer science; Dynamic capabilities; Organizational change; Technological change; Microfoundations; Risk analysis (engineering); Knowledge management; Business; Economics; Artificial intelligence; Psychology; Public relations; 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":[0.001006156,0.0001817326,0.0002617527,0.000553219,0.0007588254,0.0001552248,0.0003729364,0.00001083493,0.0000902872],"category_scores_gemma":[0.0001338096,0.000133221,0.00003380454,0.00105401,0.00004383547,0.0003123421,0.001425193,0.0001516714,0.00000965896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008719125,"about_ca_system_score_gemma":0.000003241727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001118104,"about_ca_topic_score_gemma":0.0001101011,"domain_scores_codex":[0.9986643,0.00003106756,0.0003075581,0.0001914222,0.0005836586,0.0002219982],"domain_scores_gemma":[0.9993396,0.00006962651,0.0003444806,0.0001254113,0.0001121135,0.00000875704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002990846,0.001969439,0.3448575,0.003023204,0.005757996,0.001177837,0.02695947,0.04217074,0.0005152522,0.1239689,0.3876362,0.06166426],"study_design_scores_gemma":[0.002415503,0.0002356535,0.2571419,0.0001853893,0.0009114177,0.00002536636,0.234518,0.002238924,0.000009129247,0.00575235,0.495748,0.0008183814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.464886,0.01869749,0.009792653,0.4936604,0.002397853,0.003465963,0.0000132277,0.0001468197,0.006939629],"genre_scores_gemma":[0.9920527,0.001405632,0.0009113005,0.004250863,0.0003461881,0.00006046479,0.000005294413,0.00002431959,0.0009432815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5271667,"threshold_uncertainty_score":0.5836349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447290066055151,"score_gpt":0.2163240827617567,"score_spread":0.2018511821012052,"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."}}