{"id":"W4309673227","doi":"10.1002/sres.2917","title":"Systems approach in dynamic capabilities","year":2022,"lang":"en","type":"article","venue":"Systems Research and Behavioral Science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Dynamism; Soft systems methodology; Viable system model; Systems thinking; Knowledge management; Computer science; Dynamic capabilities; Ontology; Process (computing); Process management; Perspective (graphical); Perception; Management science; Systems engineering; Artificial intelligence; Information system; Engineering; Cybernetics; Psychology; Epistemology; Management information systems","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":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04529984,0.0001810452,0.0005024958,0.002453848,0.002533311,0.002575523,0.002518532,0.00005133867,0.00009089545],"category_scores_gemma":[0.0007363947,0.0001329335,0.00005971418,0.007323337,0.001431654,0.0007463922,0.002435373,0.0006870107,0.0000486792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007289399,"about_ca_system_score_gemma":0.0005467243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006852293,"about_ca_topic_score_gemma":0.0002355356,"domain_scores_codex":[0.9849113,0.001576937,0.001121497,0.001404428,0.009686884,0.001298975],"domain_scores_gemma":[0.9964126,0.0009848491,0.0001895109,0.001128208,0.0008812655,0.0004035385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004152452,0.002969431,0.5239593,0.000286562,0.00001224512,0.0006644776,0.02239408,0.03060724,0.0299625,0.3337389,0.01688241,0.03810753],"study_design_scores_gemma":[0.001604943,0.002242249,0.1108004,0.000162234,0.000005138652,0.001310785,0.469419,0.3480171,0.00001807436,0.01988528,0.04535604,0.001178828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887727,0.003308522,0.0003681031,0.00004923894,0.001148498,0.001120981,0.0000425208,0.00003667391,0.005152754],"genre_scores_gemma":[0.9920552,0.000003179758,0.00007194751,0.000003808,0.00004651005,0.0004492216,0.000001240982,0.00001145628,0.007357413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4470249,"threshold_uncertainty_score":0.9997612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4274180428508695,"score_gpt":0.5261789844305788,"score_spread":0.09876094157970922,"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."}}