{"id":"W3096783621","doi":"10.5267/j.msl.2020.9.044","title":"The moderating effect of entrepreneurial marketing in the relationship between business intelligence systems and competitive advantage in Jordanian commercial banks","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competitive advantage; Business; Competitive intelligence; Marketing; Industrial organization; Moderation; Point (geometry); Positive relationship; Knowledge management; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00193757,0.0002392361,0.0002315252,0.000880308,0.001012332,0.002156229,0.0002537351,0.0005514078,0.005620441],"category_scores_gemma":[0.005309913,0.0001553826,0.0002965808,0.0006293377,0.0008228493,0.0009608997,0.001097693,0.000846346,0.0003706898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045489,"about_ca_system_score_gemma":0.002411404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005490316,"about_ca_topic_score_gemma":0.008961719,"domain_scores_codex":[0.9986178,0.0006379211,0.0000764368,0.0001187855,0.0002571898,0.0002919302],"domain_scores_gemma":[0.991246,0.004415638,0.001845945,0.0001652692,0.0009059774,0.001421053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003442157,0.0006723226,0.9745629,0.00005849181,0.00008800076,0.000401708,0.004496785,0.0002014705,0.0006113633,0.002337065,0.0003908665,0.01583487],"study_design_scores_gemma":[0.00001697694,0.0002501502,0.9846029,0.00006184109,0.00007453152,0.0001278367,0.0112927,0.0007296067,0.0004687776,0.0006339098,0.001727767,0.00001298835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965564,0.00008427919,0.00005978587,0.0003041768,0.000005080733,0.000008222773,0.00001859331,0.000001142425,0.00296223],"genre_scores_gemma":[0.999233,0.00005688724,0.00006689991,0.00005283761,0.000008255534,0.000006402031,0.00001319158,8.01088e-7,0.0005617542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005620441,"threshold_uncertainty_score":0.01880229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04831272244465119,"score_gpt":0.2829522895263969,"score_spread":0.2346395670817458,"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."}}