{"id":"W3092061312","doi":"10.1287/isre.2020.0950","title":"Configurations for Achieving Organizational Ambidexterity with Digitization","year":2020,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ambidexterity; Digitization; Competitive advantage; Industrial organization; Business; Balance (ability); Flexibility (engineering); Organizational structure; Knowledge management; Marketing; Economics; Computer science; Telecommunications; Management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005227832,0.0005429553,0.0004475027,0.002431556,0.003417495,0.008027452,0.00141939,0.001750568,0.02073993],"category_scores_gemma":[0.01387404,0.0006577959,0.0007335512,0.002222256,0.01284316,0.012031,0.01518545,0.00206523,0.003224902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003044441,"about_ca_system_score_gemma":0.003027982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005301852,"about_ca_topic_score_gemma":0.0007395853,"domain_scores_codex":[0.9930629,0.003184076,0.000440065,0.0008773293,0.001311365,0.001124363],"domain_scores_gemma":[0.9899293,0.002310188,0.001270611,0.003863018,0.0009983742,0.001628624],"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":[0.00008270262,0.0001042458,0.003351743,0.0001365843,0.00002125645,0.0001716201,0.002601699,0.002502229,0.002139988,0.9393431,0.002235893,0.04730897],"study_design_scores_gemma":[0.000132873,0.0003147965,0.005992294,0.00032659,0.00004133671,0.0006380217,0.006679269,0.004553789,0.003085882,0.9078797,0.07028423,0.00007109384],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2391565,0.001640109,0.2115551,0.01352127,0.0003761377,0.0008805317,0.0001660459,0.0009104221,0.5317939],"genre_scores_gemma":[0.9489828,0.0005641738,0.03908291,0.0007164796,0.0000678534,0.0005576696,0.00012721,0.0000971111,0.00980388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02073993,"threshold_uncertainty_score":0.06938201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09179905977795014,"score_gpt":0.3011058976362586,"score_spread":0.2093068378583085,"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."}}