{"id":"W4376287582","doi":"10.1016/j.ejor.2023.05.011","title":"Co-opetition or decentralization? A study of manufacturers’ sourcing and distribution strategies","year":2023,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Wilfrid Laurier University","funders":"Southwestern University of Finance and Economics; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Decentralization; Business; Strategic sourcing; Distribution (mathematics); Industrial organization; Insourcing; Process management; Operations management; Operations research; Computer science; Marketing; Strategic planning; Outsourcing; Economics; Mathematics; Strategic financial management","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003004536,0.00007950439,0.000119371,0.0004257328,0.0003288001,0.0005269626,0.0001444616,0.00001781643,0.0001769219],"category_scores_gemma":[0.0003494214,0.00005959545,0.00001971683,0.0009825809,0.0000738454,0.00167975,0.00004830118,0.0002066722,0.00004225805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002215791,"about_ca_system_score_gemma":0.00009332321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002598231,"about_ca_topic_score_gemma":0.00001153018,"domain_scores_codex":[0.998545,0.0001549405,0.0004386948,0.0001151044,0.0005888607,0.0001574371],"domain_scores_gemma":[0.9981591,0.00007540324,0.0002065177,0.00007266468,0.001472745,0.00001358813],"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":[0.003980875,0.002769933,0.1109512,0.00141486,0.0004818219,0.00118917,0.004069387,0.06658576,0.03466798,0.6498342,0.1114242,0.0126307],"study_design_scores_gemma":[0.003117058,0.0005859242,0.94268,0.0002520271,0.00003968621,0.00004203979,0.0187883,0.005060025,0.0006412426,0.003137966,0.0254076,0.0002481337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913307,0.00001921181,0.002081143,0.0008984998,0.00008399259,0.0001878166,0.000003928016,0.00001575446,0.005378926],"genre_scores_gemma":[0.9991978,0.00002752814,0.00002745755,0.00005661358,0.0004727559,0.000001647555,0.0001149292,0.00001306125,0.00008822318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8317288,"threshold_uncertainty_score":0.5081512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076507974490921,"score_gpt":0.3613844817805736,"score_spread":0.2537336843314815,"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."}}