{"id":"W4382725283","doi":"10.3390/admsci13070159","title":"Mediating Effect of the Adoption of Industry 4.0 Technologies on the Relationship between Job Involvement and Job Performance of Millennials","year":2023,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pontificia Universidad Católica del Perú","keywords":"Mediation; Structural equation modeling; Business; Tertiary sector of the economy; Affect (linguistics); Manufacturing; Psychology; Job performance; Service (business); Marketing; Demographic economics; Social psychology; Job satisfaction; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008835331,0.00007873753,0.0001244133,0.00009062944,0.0001105451,0.00001405849,0.0002484831,0.0001047081,0.000002219834],"category_scores_gemma":[0.0005254326,0.00004406194,0.00002621908,0.0008104083,0.000773541,0.0001963887,0.00003324259,0.0002199892,0.000001367816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001078379,"about_ca_system_score_gemma":0.00003344139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001646334,"about_ca_topic_score_gemma":0.000001850077,"domain_scores_codex":[0.999177,0.00004722422,0.0002964907,0.0000793638,0.0002984482,0.0001014802],"domain_scores_gemma":[0.9980981,0.00162163,0.0001244315,0.000118184,0.00002734339,0.00001032395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002729888,0.000002617475,0.991686,0.0001547551,0.00001175851,4.280725e-8,0.0006767432,0.00125733,0.0008678981,0.003813396,0.00005181715,0.001474913],"study_design_scores_gemma":[0.00008067381,0.0003959602,0.7496668,0.0002986846,0.000009102826,3.102516e-7,0.005388552,0.0003968166,0.2433532,0.0003462249,0.00000844803,0.00005526236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944711,0.00002792446,0.000004079092,0.0003309353,0.00007143938,0.0002039327,0.00003160335,0.00005161445,0.004807363],"genre_scores_gemma":[0.9999018,0.00001726712,0.00003060603,0.000002187185,0.000008186954,0.0000195582,0.000001477146,0.000003100089,0.00001582365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2424853,"threshold_uncertainty_score":0.2850144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051680834860547,"score_gpt":0.3154543157589283,"score_spread":0.2102862322728736,"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."}}