{"id":"W4200564360","doi":"10.33423/jabe.v23i7.4859","title":"The Effect of the Marketing Mix on Customer Purchase Decision in the Mobile Telecommunication Industry in Sub-Sahara Africa","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marketing; Business; Respondent; Mobile service; Telecommunications service; Marketing strategy; Service (business); Advertising; Mobile telephony; Mobile marketing; Customer advocacy; Customer retention; Telecommunications; Digital marketing; Service quality; Engineering; Mobile radio","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00351041,0.0001178033,0.0002475072,0.0001209069,0.0001850735,0.0002048705,0.0004463587,0.0001377434,0.00001294188],"category_scores_gemma":[0.000156094,0.00006278474,0.00006390727,0.000565408,0.00005701275,0.0002495829,0.0001829237,0.0006613834,0.000005503571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003852254,"about_ca_system_score_gemma":0.00003643152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005999486,"about_ca_topic_score_gemma":0.0003064674,"domain_scores_codex":[0.9990038,0.00006838155,0.0005464114,0.0001112859,0.0001163727,0.0001537568],"domain_scores_gemma":[0.9981753,0.0008391711,0.0005684415,0.0003211341,0.0000881892,0.000007789004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00722808,0.0009462119,0.08733575,0.001148611,0.0001561802,0.00003303548,0.002167105,0.06912553,0.001682823,0.007268941,0.003630727,0.819277],"study_design_scores_gemma":[0.004638701,0.00004142431,0.8081704,0.0007360688,0.000135161,0.00003415049,0.007882224,0.003794486,0.0008969617,0.003022178,0.1702182,0.0004300058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995556,0.0003809019,0.000002353368,0.00171073,0.0001685959,0.0001898156,0.000001053763,0.000001929586,0.001988619],"genre_scores_gemma":[0.9987382,0.0005486268,0.0000136443,0.0004754574,0.000192037,0.00001510123,0.000001950679,0.000009988706,0.000005011824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.818847,"threshold_uncertainty_score":0.2873419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012136401274012,"score_gpt":0.2255315346647074,"score_spread":0.2133951333906954,"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."}}