{"id":"W2921503843","doi":"10.5539/ibr.v12n4p1","title":"Impact of Digitalization on the Speed of Internationalization","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kementerian Pendidikan Malaysia; Ministry of Education, India; Universiti Tunku Abdul Rahman","keywords":"Internationalization; Globalization; Business; International business; Industrial organization; Phenomenon; Field (mathematics); Economic geography; International trade; Economics; Market economy; Management","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007192139,0.0001421633,0.0001805774,0.0009725424,0.00006389852,0.0001984114,0.0008212572,0.00006157246,0.003350378],"category_scores_gemma":[0.00110236,0.00009607202,0.0001363548,0.001413895,0.0001461754,0.0009928489,0.0002576745,0.0001470774,0.000507865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000126742,"about_ca_system_score_gemma":0.00009054294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124519,"about_ca_topic_score_gemma":0.00001124074,"domain_scores_codex":[0.9975069,0.0000241463,0.0004422616,0.0002449327,0.00158627,0.0001954567],"domain_scores_gemma":[0.9929807,0.0003073814,0.0003493754,0.0002865204,0.006067987,0.000008093859],"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":[0.0004677223,0.0004746364,0.4515719,0.0001152474,0.000205104,0.000002794696,0.000042814,0.01606094,0.008473977,0.5171074,0.004341377,0.001136047],"study_design_scores_gemma":[0.0006568566,0.00003624336,0.9567226,0.0002656099,0.000007649408,0.00000234121,0.0000569138,0.02188525,0.0006561372,0.01282997,0.006725429,0.0001550262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8794046,0.00001074572,0.0005859618,0.001719923,0.0006882588,0.0003459802,0.00002531997,0.00002006751,0.1171991],"genre_scores_gemma":[0.9976982,0.00001215308,0.00001138399,0.0001410721,0.0005614606,0.00001140443,0.0002146329,0.00002574005,0.001323949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5051506,"threshold_uncertainty_score":0.9975607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979349705834952,"score_gpt":0.3585758338327064,"score_spread":0.2987823367743568,"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."}}