{"id":"W1995168141","doi":"10.1287/orsc.1090.0502","title":"Alliance Activity as a Dynamic Capability in the Face of a Discontinuous Technological Change","year":2010,"lang":"en","type":"article","venue":"Organization Science","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":173,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; Ohio State University","keywords":"Dynamic capabilities; Industrial organization; Emerging technologies; Competition (biology); Alliance; Emerging markets; Business; Technological change; Affect (linguistics); Empirical evidence; Exploit; Sample (material); Marketing; Knowledge management; Economics; Computer science; Computer security; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002531549,0.0001773382,0.0002806711,0.002331058,0.0006980051,0.003942455,0.000454607,0.00109208,0.00303869],"category_scores_gemma":[0.02278151,0.0001509492,0.0003752999,0.001800342,0.002124625,0.004986446,0.003370259,0.001066395,0.0002435691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006188417,"about_ca_system_score_gemma":0.0008246739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000759916,"about_ca_topic_score_gemma":0.0009435694,"domain_scores_codex":[0.9985622,0.0006514299,0.00008447476,0.0001663373,0.0002608834,0.0002746091],"domain_scores_gemma":[0.970502,0.01698646,0.008056601,0.001147851,0.001085211,0.00222185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004192483,0.0008265753,0.6768404,0.000270256,0.0002370488,0.002626193,0.02039841,0.01655522,0.005958251,0.1812819,0.0008340674,0.09375249],"study_design_scores_gemma":[0.00007550475,0.0009793015,0.7154233,0.0002416025,0.0001861226,0.002713532,0.04249044,0.03150594,0.001640476,0.1922645,0.01232048,0.0001588779],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758482,0.0002442948,0.003654452,0.0005609727,0.00001088389,0.00001877135,0.00003093132,0.00001171013,0.01961975],"genre_scores_gemma":[0.999153,0.0000869427,0.00041396,0.00001336312,0.000005430049,0.000006304688,0.00001337557,0.000001029754,0.0003064235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003942455,"threshold_uncertainty_score":0.01338822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939737661519476,"score_gpt":0.2640811792315599,"score_spread":0.2446838026163651,"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."}}