{"id":"W2553671414","doi":"10.1111/jscm.12132","title":"The Effects of Boundary Spanners’ Personal Relationships on Interfirm Collaboration and Conflict: A Study of the Role of <i>Guanxi</i> in China","year":2016,"lang":"en","type":"article","venue":"Journal of Supply Chain Management","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Guanxi; Business; Interpersonal communication; Context (archaeology); China; Dynamism; Phone; Boundary spanning; Interpersonal influence; Industrial organization; Marketing; Knowledge management; Social psychology; Psychology; Computer science; Political 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":[],"consensus_categories":[],"category_scores_codex":[0.001543192,0.0001108037,0.0002355301,0.0002466623,0.0001305311,0.00005203794,0.0002702365,0.00003303882,0.00001015751],"category_scores_gemma":[0.0001326199,0.00005848468,0.00006729078,0.0004486263,0.00009781675,0.0003301581,0.0001542165,0.000153946,0.000001116007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003902676,"about_ca_system_score_gemma":0.0000182301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168597,"about_ca_topic_score_gemma":0.0005767846,"domain_scores_codex":[0.9986137,0.0001228872,0.0005862314,0.0001063933,0.0004518041,0.0001190399],"domain_scores_gemma":[0.9985182,0.0002479152,0.0008831874,0.0001835139,0.0001571134,0.00001001369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002057223,0.002716793,0.8580357,0.002341892,0.0007484171,0.00002733349,0.03324226,0.0001938132,0.003677029,0.05071468,0.002630102,0.04361469],"study_design_scores_gemma":[0.00370208,0.0004005205,0.9267852,0.001118306,0.0001960916,0.000001695828,0.04928024,0.0003402961,0.0003856675,0.002662084,0.01499726,0.0001305452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994652,0.0003390241,0.00001682838,0.003206509,0.0002641084,0.0005362282,0.000002251556,0.000002965302,0.0009800309],"genre_scores_gemma":[0.9994976,0.00008940791,0.000009737407,0.0001455072,0.00009601374,0.000008009779,4.793374e-7,0.000008465622,0.000144807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06874944,"threshold_uncertainty_score":0.2384936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009351436752588524,"score_gpt":0.2226163830355569,"score_spread":0.2132649462829683,"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."}}