{"id":"W3182488091","doi":"10.5267/j.msl.2021.5.006","title":"The role of inbound and outbound open innovation on firm performance in environmental turbulence era: Mediating of product and marketing innovation","year":2021,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Sustainability and Innovation in Business","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product innovation; Marketing; Business; Sample (material); Product (mathematics); Open innovation; Structural equation modeling; New product development; Process (computing); Industrial organization; Knowledge management; Computer science; Mathematics","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":[0.003392989,0.00010385,0.0001195881,0.0005475383,0.0003947639,0.0004048044,0.0003363249,0.00001597149,0.000009116804],"category_scores_gemma":[0.0005541946,0.00008996188,0.000006141424,0.004079188,0.000564614,0.001896662,0.0007123213,0.0001003669,7.910241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006306236,"about_ca_system_score_gemma":0.0000154733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003037868,"about_ca_topic_score_gemma":0.000003294376,"domain_scores_codex":[0.9985255,0.00001835175,0.0004765414,0.0003537386,0.0004218516,0.0002040264],"domain_scores_gemma":[0.9991746,0.00006979797,0.0003910495,0.000234592,0.0001266854,0.000003292566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007197523,0.00007576145,0.8007889,0.0004813432,0.000009428828,0.000002053845,0.0002223798,0.0003275958,0.02592954,0.0767706,0.00005347925,0.09526696],"study_design_scores_gemma":[0.0003207239,0.000006768363,0.9862019,0.000109689,0.000005926795,6.459625e-7,0.002327484,0.003388419,0.002697419,0.001539061,0.003284121,0.000117882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930133,0.00003230521,0.00002187988,0.004334603,0.0001252356,0.000395193,5.736262e-7,0.000006957274,0.002070015],"genre_scores_gemma":[0.9980359,0.00002202795,0.0003310136,0.00148845,0.00005144904,0.00002600764,0.000008962802,0.000005801947,0.00003038195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.185413,"threshold_uncertainty_score":0.3903538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009058035624548912,"score_gpt":0.2144363005457277,"score_spread":0.2053782649211788,"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."}}