{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001496596,0.0002010624,0.0002192053,0.0008138302,0.003152329,0.0012521,0.0004258363,0.0003546461,0.001544343],"category_scores_gemma":[0.003038596,0.0001640058,0.000170646,0.00104189,0.001577625,0.0009974061,0.001655751,0.0005622663,0.00007455879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080095,"about_ca_system_score_gemma":0.0018063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03033665,"about_ca_topic_score_gemma":0.04900682,"domain_scores_codex":[0.9989319,0.0005313497,0.00004353202,0.0001095015,0.000145399,0.0002382349],"domain_scores_gemma":[0.9961863,0.0009750668,0.001316608,0.0001889261,0.000218537,0.001114559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008804503,0.0002025883,0.9150506,0.00002007157,0.00005201984,0.0004083725,0.06998647,0.0002493212,0.0009054201,0.001550216,0.0001130805,0.01137379],"study_design_scores_gemma":[0.000007580808,0.00008853195,0.9455039,0.0000110685,0.00001573722,0.00008264276,0.05226251,0.0008977634,0.0001314796,0.0003953562,0.0005921756,0.00001126539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995632,0.000008829237,0.00002293279,0.00002231186,3.640031e-7,0.000001405692,0.000001287013,1.982759e-7,0.0003794563],"genre_scores_gemma":[0.9998955,0.00000955575,0.00001732636,0.000006275348,4.476616e-7,0.000001446465,0.000002676011,1.981743e-7,0.00006646486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03033665,"threshold_uncertainty_score":0.06032014,"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."}}