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10.1080/00253359.2004.10656896 · doi-reference

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10.1177/0361198119837497 · doi-reference

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10.1080/01441647.2019.1575491 · doi-reference

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10.1177/0361198119837962 · doi-reference

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10.1080/15568318.2021.1897907 · doi-reference

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10.59256/ijsreat.20240406002 · doi-reference

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