{"id":"W4407757384","doi":"10.1108/imds-05-2024-0488","title":"Building organizational agility through digital transformation: a configurational approach in SMEs","year":2025,"lang":"en","type":"article","venue":"Industrial Management & Data Systems","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Digital transformation; Business; Knowledge management; Process management; Computer science; Industrial organization; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002037319,0.0002722662,0.0002331074,0.003961104,0.002878211,0.00452803,0.001041495,0.0006885444,0.003151751],"category_scores_gemma":[0.004743155,0.0002105865,0.0003770776,0.002831662,0.01199695,0.003883938,0.003614385,0.0007764202,0.0001270871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007784815,"about_ca_system_score_gemma":0.004049679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229498,"about_ca_topic_score_gemma":0.02207677,"domain_scores_codex":[0.998066,0.001250027,0.00007279214,0.0001394498,0.0002346158,0.0002370541],"domain_scores_gemma":[0.9970574,0.001628966,0.0003741981,0.0003546683,0.000317424,0.0002672703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002117581,0.0002294344,0.05920161,0.000564524,0.00006993445,0.002585268,0.101488,0.01162451,0.005918314,0.7104423,0.0005208935,0.1071434],"study_design_scores_gemma":[0.00006487451,0.0004150579,0.1072463,0.0008458537,0.00009406924,0.002408677,0.4335991,0.02143643,0.005767495,0.3993758,0.02862477,0.0001214863],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8601223,0.0006102626,0.02920992,0.001767453,0.00001462723,0.0002324911,0.00004839447,0.00004677223,0.1079477],"genre_scores_gemma":[0.9974313,0.00006814842,0.002171382,0.00002500252,0.000001066404,0.00002698577,0.000007008036,0.000002041027,0.0002669666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229498,"threshold_uncertainty_score":0.05648303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05773417777737596,"score_gpt":0.274262932097851,"score_spread":0.2165287543204751,"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."}}