{"id":"W2908249074","doi":"10.5539/ibr.v12n1p131","title":"Strategic Information Systems Enabling Strategy-as-Practice and Corporate Performance: Empirical Evidence from PLS-PM, FIMIX-PLS and fsQCA","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Strategic management; Qualitative comparative analysis; Business; Knowledge management; Strategy implementation; Mediation; Structural equation modeling; Empirical research; Industrial organization; Computer science; Marketing; Process management; Mathematics; 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":[0.01255744,0.00055617,0.0003746997,0.002545698,0.0009057788,0.003374731,0.00069081,0.0007559287,0.00307797],"category_scores_gemma":[0.03941377,0.0002824652,0.0007358379,0.004186943,0.003032524,0.004509555,0.002435518,0.001347489,0.0003873097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002092753,"about_ca_system_score_gemma":0.00299736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005721332,"about_ca_topic_score_gemma":0.005244933,"domain_scores_codex":[0.9926894,0.004249333,0.0002717214,0.0005156117,0.001880835,0.0003931016],"domain_scores_gemma":[0.9429626,0.04290862,0.006322581,0.002027684,0.004547466,0.001231065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004518463,0.001255659,0.7512932,0.0007517944,0.0004394992,0.0001989469,0.02082597,0.01182538,0.001182059,0.05659688,0.001242387,0.1539363],"study_design_scores_gemma":[0.00009099975,0.001358378,0.78979,0.0006306156,0.0004713517,0.0002086245,0.0414248,0.1102696,0.002304269,0.0455081,0.007822415,0.0001209904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798318,0.0002745771,0.004986739,0.0006754689,0.000008549613,0.00008012481,0.00009278735,0.00001994944,0.01403018],"genre_scores_gemma":[0.9976659,0.0001997244,0.00166744,0.00003812548,0.000005410675,0.00003371602,0.00009184179,0.000004934761,0.0002930276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01255744,"threshold_uncertainty_score":0.0664109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3864918988723821,"score_gpt":0.427018641510533,"score_spread":0.04052674263815087,"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."}}