{"id":"W4317214153","doi":"10.1016/j.cie.2023.108992","title":"How reverse information sharing supports pricing and sales effort decisions: Signaling game-based incentive mechanism design","year":2023,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yorkville University","funders":"","keywords":"Stackelberg competition; Signaling game; Pooling; Private information retrieval; Information sharing; Supply chain; Game theory; Backward induction; Business; Microeconomics; Incentive; Mechanism design; Sequential game; Information asymmetry; Complete information; Industrial organization; Marketing; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007545355,0.0002650621,0.0002518084,0.0009156095,0.0001647958,0.0009336788,0.0002590227,0.0001221887,0.00001258103],"category_scores_gemma":[0.0002690845,0.0002821481,0.00007641884,0.0008449022,0.00001873698,0.002095898,0.0003876662,0.0002218191,0.00004586551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009971331,"about_ca_system_score_gemma":0.00002199804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000304311,"about_ca_topic_score_gemma":6.197143e-7,"domain_scores_codex":[0.9985853,0.000008202846,0.0003533233,0.0002972879,0.0003387651,0.0004171402],"domain_scores_gemma":[0.9993492,0.0001469824,0.0001851262,0.0002080693,0.00007094054,0.0000396545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001228101,0.00004440415,0.002796637,0.0004278617,0.0001998907,0.0001373187,0.0005546394,0.9205616,0.001236294,0.01693077,0.0151049,0.04188287],"study_design_scores_gemma":[0.001368858,0.00002165663,0.0003515141,0.000554797,0.00005419373,0.000001226906,0.0003521121,0.966572,0.000530695,0.0004203315,0.02937663,0.000396011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.249389,0.00002973664,0.7448099,0.0006273967,0.002975925,0.001102961,0.000002639221,0.0009917228,0.00007081139],"genre_scores_gemma":[0.9950544,0.00001001721,0.00307018,0.0005316308,0.001058339,0.00004677004,0.0001351662,0.00004154938,0.00005191375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7456655,"threshold_uncertainty_score":0.999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04724955340465699,"score_gpt":0.2051586685473102,"score_spread":0.1579091151426532,"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."}}