{"id":"W2893051876","doi":"10.5430/jms.v9n4p10","title":"The Impact of Big Data on SME´s Strategic Management: A Study on a Small British Enterprise Specialized in Business Intelligence","year":2018,"lang":"en","type":"article","venue":"Journal of Management and Strategy","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Business; Strategic management; Strategic planning; Business intelligence; Knowledge management; Process management; Citizen journalism; Marketing; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002122551,0.0003250631,0.0003858539,0.001421968,0.007359598,0.004071632,0.00106003,0.001018999,0.001789607],"category_scores_gemma":[0.006059546,0.000443797,0.0001604791,0.002082441,0.00326995,0.001915523,0.00267347,0.001791504,0.0004761274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005350275,"about_ca_system_score_gemma":0.006008455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2093868,"about_ca_topic_score_gemma":0.4126928,"domain_scores_codex":[0.9977981,0.0009590482,0.00005427039,0.0001284927,0.0005214096,0.0005386514],"domain_scores_gemma":[0.9943818,0.002251638,0.00055652,0.0001332433,0.0008192149,0.001857551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001991534,0.0009570317,0.08151431,0.00017239,0.00002230188,0.005158424,0.882627,0.0001900661,0.002679962,0.002076944,0.002540126,0.02186227],"study_design_scores_gemma":[0.000009903161,0.0004233147,0.06036019,0.00009823297,0.000009328078,0.0003934752,0.9271147,0.0003045841,0.0002476758,0.0002209854,0.01078875,0.00002890772],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967839,0.00007287043,0.00008669701,0.0006448836,0.000005480355,0.00002116365,0.0000150134,0.0000022935,0.002367752],"genre_scores_gemma":[0.9963562,0.000310089,0.0001772376,0.0004188424,0.000006697832,0.00001927757,0.00003332979,0.000007661414,0.002670605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2093868,"threshold_uncertainty_score":0.4163361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.177159209826997,"score_gpt":0.3399456167438024,"score_spread":0.1627864069168053,"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."}}