{"id":"W3214684790","doi":"10.5267/j.ijdns.2021.9.018","title":"Market entry agility in the process of enhancing firm performance: A dynamic capability perspective","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Business; Dynamic capabilities; Industrial organization; Social media; Marketing; Product (mathematics); Survey data collection","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":[0.007273842,0.0000462889,0.0001128864,0.00004670182,0.0001794311,0.0001356527,0.001221767,0.00002456911,0.0000276017],"category_scores_gemma":[0.003618804,0.00003457653,0.00002408657,0.0005082378,0.0008207449,0.001049741,0.0001654822,0.0001680539,1.971141e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218968,"about_ca_system_score_gemma":0.0009752372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001102413,"about_ca_topic_score_gemma":0.001087698,"domain_scores_codex":[0.9982669,0.000194105,0.000271645,0.0001636488,0.0009385026,0.0001652334],"domain_scores_gemma":[0.9982095,0.0005398577,0.0002067722,0.0001382409,0.00085139,0.00005421873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005316077,0.0007814597,0.6366751,0.00008581553,0.0001031377,0.0001198955,0.1701552,0.0002138508,0.0002955029,0.006835768,0.001639707,0.182563],"study_design_scores_gemma":[0.0007026889,0.0001182977,0.7863408,0.0008131399,0.00003087532,0.00008339837,0.1819476,0.004815521,0.0001385754,0.02078312,0.003992967,0.0002329645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792737,0.0003817764,0.00005164641,0.001680079,0.0005744525,0.00004592996,0.00001562046,0.000002053891,0.01797479],"genre_scores_gemma":[0.9987892,0.0006394092,0.0002082246,0.00008175564,0.0002401742,5.996949e-7,0.000001650841,0.000001266402,0.00003772711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.18233,"threshold_uncertainty_score":0.4332308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554534830160751,"score_gpt":0.3514034481840536,"score_spread":0.3358580998824461,"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."}}