{"id":"W4214825856","doi":"10.1108/sajbs-06-2021-0239","title":"Information technology investment and working capital management efficiency: evidence from India survey data","year":2022,"lang":"en","type":"article","venue":"South Asian Journal of Business Studies","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Camosun College; Mount Royal University; University of Saskatchewan","funders":"","keywords":"Accounts payable; Accounts receivable; Working capital; Investment (military); Cash conversion cycle; Business; Empirical research; Originality; Value (mathematics); Finance; Cash; Economics; Marketing; Cash management; Statistics","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":[0.0009776079,0.0001664355,0.000186118,0.001836392,0.0003008839,0.001210703,0.0005345856,0.0002017728,0.002784161],"category_scores_gemma":[0.008430905,0.0001749879,0.0003173018,0.004215906,0.0004435906,0.0007442328,0.0007117589,0.0004566307,0.0004413362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006342775,"about_ca_system_score_gemma":0.000992088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01881765,"about_ca_topic_score_gemma":0.01873766,"domain_scores_codex":[0.9989511,0.0002788648,0.0001753481,0.00009903833,0.000309235,0.0001863934],"domain_scores_gemma":[0.9771305,0.007091231,0.01213952,0.001142381,0.001761105,0.0007352264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000304748,0.00005785996,0.9904715,0.0001126143,0.00005188691,0.00006293922,0.0006731833,0.0002086789,0.00004861071,0.000321869,0.0007974509,0.007163031],"study_design_scores_gemma":[0.000002598863,0.00003217627,0.9964738,0.00005455249,0.000037394,0.00006874536,0.001649777,0.0003306834,0.0001269923,0.00008568997,0.001131783,0.000005748562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927515,0.0003834114,0.0002402853,0.0003315979,0.000004994798,0.00001966608,0.002016551,0.00001084431,0.004241121],"genre_scores_gemma":[0.998325,0.000259781,0.0001297772,0.00004429305,0.000006068335,0.00001238437,0.0008581172,0.000001919027,0.0003626161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01881765,"threshold_uncertainty_score":0.03741628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04746534787087454,"score_gpt":0.2380762573910185,"score_spread":0.1906109095201439,"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."}}