{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T03:05:27Z","timestamp":1772679927444,"version":"3.50.1"},"reference-count":70,"publisher":"Emerald","issue":"10","license":[{"start":{"date-parts":[[2019,11,18]],"date-time":"2019-11-18T00:00:00Z","timestamp":1574035200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2019,11,18]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>This paper aims to present a dynamic model based on casual relationships among the most important effective factors on business\u2013IT alignment in Agile businesses by using system dynamics modeling approach.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>To study the most important factors on agility and alignment, the data were collected by questionnaires filled by 201 experts and were analyzed by SPSS and PLS. Casual relationships among studied factors and efficiency coefficients of each factor were identified by fuzzy DEMATEL technique and analyzed by MATLAB and EXCELL. Finally, the dynamic model was plotted by VENSIM.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>According to the results, only \u201clearning IT capabilities\u201d are the most important casual factor that has the highest influence on the other factors. \u201cBusiness responding capabilities\u201d take the highest effect from the system, and \u201cbusiness sensing capabilities\u201d are in the next rank.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>This study underpins effective IT deployment toward developing efficient IT capabilities to gain greater agility.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The dynamic capabilities view (DCV) has emerged as an influential theoretical and management framework in modern IS and agility researches. In this regard, we propose a conceptualization of dynamic capabilities in the form of an alignment model. Based on the dynamic capabilities, and on the alignment perspectives found in Henderson and Venkatraman\u2019s seminal model, IT alignment is modeled as a process of reconfiguration of the firm\u2019s IT and organizational resources, competencies and capabilities.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-05-2019-0358","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T11:13:47Z","timestamp":1575285227000},"page":"2521-2546","source":"Crossref","is-referenced-by-count":9,"title":["A dynamic model of effective factors on Agile business\u2013IT alignment"],"prefix":"10.1108","volume":"49","author":[{"given":"Elaheh","family":"Bigdeli","sequence":"first","affiliation":[]},{"given":"Mohammadreza","family":"Motadel","sequence":"additional","affiliation":[]},{"given":"Abbas","family":"Toloie 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