{"id":"W2156100393","doi":"10.1142/s0219622011004543","title":"AN EMPIRICAL ANALYSIS OF FACTORS INFLUENCING INTERNET/E-BUSINESS TECHNOLOGIES ADOPTION BY SMES IN CANADA","year":2011,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":272,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Cape Breton University","keywords":"Business; Small and medium-sized enterprises; Marketing; Revenue; The Internet; Government (linguistics); Industrial organization; Appeal; Knowledge management; Computer science; Accounting","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0008318242,0.0001672461,0.0002427665,0.001450146,0.002505054,0.001578103,0.0004678839,0.0002604649,0.001647242],"category_scores_gemma":[0.005403716,0.0001664294,0.0002738039,0.003949124,0.0006418811,0.0003834601,0.0008642643,0.0004129022,0.0001474932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01285481,"about_ca_system_score_gemma":0.02720095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764166,"about_ca_topic_score_gemma":0.9840575,"domain_scores_codex":[0.9992959,0.0000762198,0.0000579345,0.00006201077,0.0002935525,0.0002143355],"domain_scores_gemma":[0.9943638,0.001138545,0.0005993895,0.00008493035,0.00271344,0.001099842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009076989,0.0001298043,0.9633938,0.00009097841,0.00001784703,0.0003999657,0.01718494,0.0001953999,0.001107705,0.0004803971,0.0004404145,0.01646801],"study_design_scores_gemma":[0.000003568667,0.00003168457,0.975092,0.00004891874,0.00001383877,0.0000475908,0.02271008,0.0005897761,0.0002252454,0.00002364392,0.001201364,0.00001230221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99829,0.00006632094,0.00003430493,0.00009741884,0.000001123737,0.00001666583,0.0001393098,0.000002120991,0.001352709],"genre_scores_gemma":[0.9989346,0.0001841823,0.0001235877,0.0000251991,7.940294e-7,0.00001100667,0.000140425,0.000001678615,0.0005785429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02358341,"threshold_uncertainty_score":0.09326863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05570112712642883,"score_gpt":0.3684191778049302,"score_spread":0.3127180506785013,"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."}}