{"id":"W3124534812","doi":"","title":"Path Dependence of Dynamic Information Technology Capability: An Empirical Investigation","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Competitor analysis; Path dependence; Dynamic capabilities; Competitive advantage; Empirical research; Empirical evidence; Path (computing); Resource (disambiguation); Sample (material); Resource dependence theory; Computer science; Industrial organization; Microeconomics; Economics; Marketing; Business; Mathematics","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":[0.004616357,0.0002555338,0.000432001,0.001805226,0.0007806735,0.001428461,0.0009463883,0.0007729491,0.006726907],"category_scores_gemma":[0.02857973,0.0003298551,0.000785628,0.002913775,0.001189309,0.001632876,0.001642601,0.001830679,0.0004331343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007899567,"about_ca_system_score_gemma":0.001013472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00558657,"about_ca_topic_score_gemma":0.003960372,"domain_scores_codex":[0.9980246,0.001032515,0.0001288293,0.0003214799,0.0002720057,0.000220615],"domain_scores_gemma":[0.9187227,0.06323868,0.01125264,0.003486403,0.001933781,0.001365768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002133904,0.0005942301,0.9759306,0.00006319772,0.000136693,0.0003706881,0.002023051,0.0031543,0.0002738132,0.004651029,0.0003438248,0.01224514],"study_design_scores_gemma":[0.0001067051,0.0007429995,0.9070233,0.00008859544,0.0002909702,0.0008661501,0.008736384,0.06738596,0.0007009369,0.01123052,0.002758314,0.0000693116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971488,0.00005550285,0.001721161,0.00007479959,0.000001738096,0.00004212653,0.0001182784,0.000006674677,0.0008309406],"genre_scores_gemma":[0.9989439,0.00005431287,0.0005583314,0.00001441626,0.00000304982,0.00002622547,0.000205506,0.000002753856,0.0001915404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006726907,"threshold_uncertainty_score":0.02441394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04239993930231597,"score_gpt":0.3497429824844736,"score_spread":0.3073430431821577,"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."}}