{"id":"W2998535778","doi":"10.5267/j.msl.2019.12.013","title":"The roles of dynamic capabilities, innovation, organizational agility and knowledge management on competitive performance in telecommunication industry","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitive advantage; Dynamic capabilities; Structural equation modeling; Business; Organizational performance; Knowledge management; Marketing; Telecommunications; Industrial organization; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000723361,0.000118981,0.00009983414,0.0004056285,0.0003708425,0.0002311427,0.0005904451,0.00002422471,0.00002137872],"category_scores_gemma":[0.00009936457,0.0001040143,0.00001024458,0.003862125,0.0005149626,0.0006458756,0.0005510225,0.0001600119,0.00002088504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201247,"about_ca_system_score_gemma":0.00001249488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006255453,"about_ca_topic_score_gemma":0.00005699941,"domain_scores_codex":[0.9987622,0.00002048631,0.0003502049,0.0003117169,0.0003647417,0.0001906721],"domain_scores_gemma":[0.9993331,0.00005201602,0.0001914693,0.0002889087,0.0001249683,0.000009555081],"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":[0.00006213462,0.0001339582,0.232473,0.0004755167,0.0000281831,0.000001973133,0.0008248495,0.002493358,0.0005272853,0.7461386,0.001147365,0.01569377],"study_design_scores_gemma":[0.0008029845,0.00002204613,0.9347885,0.0001753077,0.00002255153,2.371047e-7,0.007903604,0.02170389,0.0001538861,0.0009442397,0.03318767,0.0002950382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410492,0.00002336996,0.0004436506,0.02119441,0.0001432584,0.0006209483,0.000002143349,0.00005181131,0.03647118],"genre_scores_gemma":[0.9951459,0.00003340932,0.0002295152,0.004431141,0.00003929417,0.00003881169,0.00001350247,0.000008159857,0.00006029786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7451944,"threshold_uncertainty_score":0.4241579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009333305412436828,"score_gpt":0.2254037502370169,"score_spread":0.21607044482458,"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."}}