{"id":"W4401977269","doi":"10.28924/2291-8639-22-2024-141","title":"Service Quality as a Catalyst for Competitive Advantage and Business Performance in Hotel Industry: An Empirical Analysis by PLS-SEM Algorithm","year":2024,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Service quality; Business; Service (business); Mathematics; Empirical research; Competitive advantage; Quality (philosophy); Marketing; Algorithm; Industrial organization; Statistics","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":[0.004217364,0.0004237627,0.0003495119,0.001261959,0.000490136,0.001284982,0.0004257378,0.0003787287,0.002324091],"category_scores_gemma":[0.00637283,0.0002150371,0.000921629,0.002242521,0.0007325396,0.000794883,0.0009908142,0.0007521191,0.0003065682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009950484,"about_ca_system_score_gemma":0.002276756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005426176,"about_ca_topic_score_gemma":0.006247221,"domain_scores_codex":[0.9984518,0.0007828246,0.00007623353,0.0001241674,0.0004466336,0.0001184486],"domain_scores_gemma":[0.9965384,0.002161171,0.0003823708,0.000192841,0.0006378477,0.00008735147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003553967,0.001192863,0.7886394,0.0004115754,0.0003394262,0.0001889089,0.004871527,0.03726075,0.004548277,0.01057469,0.00132777,0.1502894],"study_design_scores_gemma":[0.00006761987,0.001178507,0.5358082,0.0001807294,0.0003249215,0.0002063425,0.008324616,0.4358417,0.006599056,0.007592077,0.003788044,0.00008818242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743776,0.00006680806,0.02109903,0.0001311028,0.00000720295,0.0001574125,0.0002707203,0.00006140341,0.003828648],"genre_scores_gemma":[0.9892378,0.00005380377,0.009960417,0.00001365204,0.000002353214,0.00009431336,0.0001858644,0.0000122703,0.0004395475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005426176,"threshold_uncertainty_score":0.02230388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02300743323488863,"score_gpt":0.3495009515624461,"score_spread":0.3264935183275575,"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."}}