{"id":"W3122020646","doi":"10.5539/jms.v5n1p115","title":"Small and Medium Enterprises (SMEs) in the Cloud in Developing Countries: A Synthesis of the Literature and Future Research Directions","year":2015,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ghana Business School; University of Ghana","keywords":"Cloud computing; Adaptation (eye); Knowledge management; Conceptual framework; Computer science; Business; Conceptual model; Small and medium-sized enterprises; Data science; Management science; Process management; Sociology; Engineering; Social science; Database; Psychology","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":[0.006302794,0.00009071228,0.0001762721,0.0002832057,0.0001400368,0.0002082354,0.0005172819,0.00004263977,2.110844e-7],"category_scores_gemma":[0.0002951349,0.00004912956,0.00003284599,0.0007598186,0.0001538581,0.00005780179,0.0006814707,0.0003129678,2.531331e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354351,"about_ca_system_score_gemma":0.00009741934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004301565,"about_ca_topic_score_gemma":0.00006544287,"domain_scores_codex":[0.9982359,0.0006573514,0.0003266616,0.0001811208,0.0004006886,0.0001983063],"domain_scores_gemma":[0.9988309,0.0004401843,0.000123305,0.00026667,0.0002941066,0.00004480004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003066199,0.0004846954,0.6271539,0.003105425,0.0001662544,0.0003739548,0.1482777,0.0003890169,4.096086e-7,0.06551638,0.002461571,0.1517641],"study_design_scores_gemma":[0.0008914589,0.0001539998,0.7527656,0.0006148581,0.00002945413,0.00006187695,0.05495537,0.001188391,0.00000903487,0.03052387,0.1586519,0.0001542427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482313,0.004275827,0.0005291354,0.04592665,0.0001927227,0.0003584097,3.159755e-7,0.000005066147,0.000480562],"genre_scores_gemma":[0.9973287,0.001681964,0.0006237238,0.00016106,0.0001033211,0.00000772041,3.218488e-8,0.000002762734,0.00009074295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1561903,"threshold_uncertainty_score":0.2184435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063210962098762,"score_gpt":0.2763599032982638,"score_spread":0.2557277936772762,"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."}}