{"id":"W4386014982","doi":"10.5267/j.ijdns.2023.7.002","title":"Exploring the impact of e-HRM on organizational performance: A mediated model","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Employee engagement; Structural equation modeling; Organizational performance; Knowledge management; Human resource management; Business; Partial least squares regression; Employee research; Psychology; Business administration; Public relations; Computer science; Political science; Statistics; 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":[0.001303809,0.00006589539,0.00009032491,0.0002687801,0.0001765417,0.0001932905,0.001143015,0.00001028284,0.00001834686],"category_scores_gemma":[0.0002539167,0.00003931168,0.00002640568,0.0009210193,0.0001350113,0.002604274,0.000410549,0.000103399,0.00001655138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002273358,"about_ca_system_score_gemma":0.00009392657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002108727,"about_ca_topic_score_gemma":0.000002367205,"domain_scores_codex":[0.9988553,0.000003979571,0.000231168,0.0001173503,0.0006479514,0.0001442842],"domain_scores_gemma":[0.9991089,0.0000975469,0.0002390284,0.0001422809,0.0003964619,0.0000158139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004639732,0.0001403906,0.3644989,0.00003336289,0.0002488916,0.00002529637,0.0006052589,0.5406522,0.001784314,0.009514101,0.05603582,0.02599756],"study_design_scores_gemma":[0.000400379,0.00003245244,0.1700672,0.00016939,0.00001543743,0.00001564318,0.00008266233,0.8267599,0.00003485886,0.001644272,0.000690794,0.00008701056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997697,0.00001660324,0.0002738198,0.0006942597,0.000577728,0.00002643068,0.0000129966,0.00001248268,0.0006886614],"genre_scores_gemma":[0.9982878,0.0002658067,0.00008726631,0.0001688191,0.001134746,5.606622e-7,0.00003012591,0.000005814993,0.00001903838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2861077,"threshold_uncertainty_score":0.2124024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269043595838404,"score_gpt":0.3198808606440645,"score_spread":0.1929765010602242,"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."}}