{"id":"W3205615346","doi":"10.51325/ijbeg.v4i3.78","title":"&lt;b&gt;The Impact of strategic Agility on the&lt;/b&gt; &lt;b&gt;SMEs competitive capabilities in the Kingdom of Bahrain &lt;/b&gt;","year":2021,"lang":"en","type":"article","venue":"EuroMid Journal of Business and Tech-innovation (EJBTI)","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Underpinning; Contingency theory; Business; Strategic planning; Dynamic capabilities; Resource (disambiguation); Strategic fit; Contingency; Strategic management; Competitive advantage; Contingency plan; Industrial organization; Business environment; Knowledge management; Process management; Resource-based view; Marketing; Computer science; Management; Economics; Engineering; Business administration","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003125495,0.0004181161,0.0007218996,0.0007704441,0.0003498387,0.0005382826,0.0006787422,0.0001219281,0.0004492768],"category_scores_gemma":[0.002082879,0.0002512017,0.0002075116,0.005180251,0.0005091541,0.0009761421,0.0002030901,0.0004474273,0.000006457453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001113264,"about_ca_system_score_gemma":0.0003970721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009303921,"about_ca_topic_score_gemma":0.0002298365,"domain_scores_codex":[0.9963018,0.0002779358,0.001719459,0.0003597177,0.0009835099,0.000357614],"domain_scores_gemma":[0.9916095,0.000899206,0.002206589,0.0006048863,0.004659343,0.00002048281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0009806228,0.001458425,0.02117119,0.0007334191,0.00041619,0.0001203419,0.001357564,0.004216179,0.1488551,0.8107862,0.006727394,0.003177342],"study_design_scores_gemma":[0.004220818,0.0003535554,0.9083295,0.001651449,0.0002561098,0.0001292597,0.004314903,0.002377064,0.003690538,0.04107536,0.03273248,0.0008689683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836655,0.0004955465,0.0005398223,0.006785954,0.0005354213,0.0004940859,0.00004856911,0.00002841312,0.007406676],"genre_scores_gemma":[0.9983559,0.0001348313,0.00008215971,0.000615698,0.0006382642,0.00001811964,0.00003780204,0.00003897347,0.00007825569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8871583,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03626125976766877,"score_gpt":0.2615483290635485,"score_spread":0.2252870692958797,"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."}}