{"id":"W3212860276","doi":"10.5267/j.ijdns.2021.9.011","title":"E-HRM practices and sustainable competitive advantage from HR practitioner’s perspective: A mediated moderation analysi","year":2021,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Continuance; Moderation; Knowledge management; Competitive advantage; Context (archaeology); Human resource management; Path analysis (statistics); Structural equation modeling; Business; Perspective (graphical); Psychology; Business administration; Marketing; Computer science; Social psychology","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":[0.0009324351,0.00008088218,0.0001258062,0.000127626,0.0002838485,0.0008211516,0.001027826,0.00002285661,0.00002533099],"category_scores_gemma":[0.0009784681,0.00006969823,0.000014156,0.000612507,0.0001676342,0.009034687,0.0009870064,0.0001501798,0.000002611587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007923729,"about_ca_system_score_gemma":0.0006359188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005340607,"about_ca_topic_score_gemma":0.00004017497,"domain_scores_codex":[0.9984695,0.00006206048,0.0002523551,0.0003477199,0.0006942155,0.0001741002],"domain_scores_gemma":[0.9967244,0.0002953763,0.0005485116,0.0002247187,0.002101261,0.000105748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002768112,0.0006098577,0.07687082,0.00002371518,0.0006601331,0.001545813,0.005267535,0.004390512,0.01384167,0.8771971,0.005458624,0.01385735],"study_design_scores_gemma":[0.002072466,0.0002874869,0.09933516,0.0002622094,0.0001249958,0.00208762,0.01120004,0.7825617,0.003968572,0.06277587,0.03468592,0.0006379423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2823131,0.005085194,0.6733938,0.03421169,0.001450768,0.0001386754,0.0001472901,0.00004368318,0.003215758],"genre_scores_gemma":[0.9583043,0.001999604,0.03852878,0.0005667156,0.0004590365,5.334934e-7,0.00005418919,0.000003417572,0.00008335704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8144213,"threshold_uncertainty_score":0.7918383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073085296735617,"score_gpt":0.3256737395375048,"score_spread":0.3049428865701486,"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."}}