{"id":"W2794343921","doi":"10.5539/ijms.v10n1p126","title":"A Dynamic View of Marketing Capabilities for SMEs’ Export Performance","year":2018,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Internationalization; Multinational corporation; Business; Marketing; Dynamic capabilities; Relevance (law); Export performance; Work (physics); Order (exchange); Marketing strategy; Marketing management; Export marketing; International marketing; Industrial organization; Exploratory research","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000521,0.0003423726,0.0001427056,0.002275705,0.0006263813,0.003974057,0.0002209937,0.0005375315,0.004351118],"category_scores_gemma":[0.00253216,0.00009547808,0.0003123099,0.001581611,0.002541789,0.004034683,0.002151961,0.0005426575,0.0002729646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232516,"about_ca_system_score_gemma":0.0008708606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393149,"about_ca_topic_score_gemma":0.001296401,"domain_scores_codex":[0.9995124,0.0002064193,0.00002715556,0.00004867537,0.00007827012,0.0001270408],"domain_scores_gemma":[0.9977101,0.001130634,0.0005054535,0.0001207294,0.0002498726,0.0002831716],"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":[0.0003097357,0.000267524,0.3275026,0.0009304285,0.0001665955,0.004351004,0.09354076,0.008895352,0.01256955,0.4116707,0.002113459,0.1376824],"study_design_scores_gemma":[0.00002812344,0.00057771,0.6244501,0.001305375,0.0001561498,0.002467085,0.2073189,0.007757818,0.003658277,0.09662111,0.05553525,0.0001240884],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8290011,0.001020044,0.005176078,0.001624902,0.00001570322,0.00003880946,0.0001284992,0.00002373787,0.1629711],"genre_scores_gemma":[0.9990568,0.0001250458,0.0002985293,0.00001677023,0.000003913558,0.000005562509,0.00001252853,0.000001608974,0.0004792246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004351118,"threshold_uncertainty_score":0.01455593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.020859936343766,"score_gpt":0.2900128396590689,"score_spread":0.2691529033153029,"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."}}