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A hybrid SEM-ANN approach was employed to evaluate the research model and hypotheses.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The results show that motivation (M), opportunity (O), and ability (A) affect users\u2019 flow experience and loyalty and further affect their adoption intention of m-health technology. Opportunity plays a more critical role in m-health adoption intention than ability.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study comprehensively examined the factors that affect users\u2019 deep engagement and m-health adoption from the perspective of MOA. It used the hybrid SEM-ANN method to divide the critical role of motivation, opportunity and ability, providing a new analysis approach for studying information technology (IT) behavior.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ajim-11-2022-0497","type":"journal-article","created":{"date-parts":[[2023,9,11]],"date-time":"2023-09-11T22:12:15Z","timestamp":1694470335000},"page":"86-112","source":"Crossref","is-referenced-by-count":4,"title":["Ability first or opportunity first in\u00a0the m-health era? A hybrid SEM-ANN approach"],"prefix":"10.1108","volume":"77","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1441-0348","authenticated-orcid":false,"given":"Ping","family":"Li","sequence":"first","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2023,9,12]]},"reference":[{"key":"key2025010116220441200_ref001","doi-asserted-by":"crossref","unstructured":"Ajzen, I. (1985), \u201cFrom intentions to actions: a theory of planned behavior\u201d, in Kuhl, J. and Beckmann, J. 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