{"id":"W1508773994","doi":"10.1016/s0969-5931(03)00079-9","title":"Firm resource and first mover advantages","year":2003,"lang":"en","type":"article","venue":"International Business Review","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Chinese University of Hong Kong; Hong Kong Baptist University","keywords":"First-mover advantage; Resource (disambiguation); Foreign direct investment; China; Industrial organization; Sample (material); Business; Resource-based view; Empirical research; Economics; Microeconomics; Marketing; Competitive advantage; Computer science; Macroeconomics; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002976177,0.0002271676,0.000268993,0.0001903942,0.0001403896,0.000255532,0.0003211429,0.00004957532,0.002343077],"category_scores_gemma":[0.0007446322,0.0001950227,0.00007901665,0.0004534191,0.00006349548,0.001128455,0.0001487607,0.000102733,0.0005301873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000378375,"about_ca_system_score_gemma":0.00001813792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001078659,"about_ca_topic_score_gemma":0.00002147993,"domain_scores_codex":[0.998642,0.000008821507,0.000375344,0.000342326,0.0004311193,0.0002004259],"domain_scores_gemma":[0.9988421,0.00005857814,0.000240097,0.0001983733,0.0006456974,0.00001520539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006971559,0.0003617101,0.08757114,0.007104987,0.0002281918,0.000148066,0.00001485788,0.000149943,0.00006841592,0.6859491,0.1827421,0.0355917],"study_design_scores_gemma":[0.0003102957,0.000001359848,0.05488134,0.001545781,0.00004128493,0.00003757369,0.00000533446,0.0001313125,0.000003997754,0.001877842,0.9409298,0.0002341038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02552681,0.1033702,0.00233249,0.06513429,0.004761595,0.001393009,0.00004172174,0.0004166659,0.7970232],"genre_scores_gemma":[0.8886899,0.04045905,0.0007043679,0.05891996,0.002849769,0.0001901263,0.000339356,0.0001278939,0.007719608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8631631,"threshold_uncertainty_score":0.9985689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497535151913542,"score_gpt":0.2500272610512476,"score_spread":0.2350519095321121,"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."}}