2023
DOI: 10.21522/tijmg.2015.09.01.art002
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The Influence of Economic and Technology Factors on Performance Outcomes of Community Pharmacists in Nigeria: A Structural Equation Modeling Study

Abstract: Community pharmacists, as healthcare providers, operate within local and global business environments. Therefore, they are not immune from the effects of the business environment on practice performance. However, limited empirical research is available to explore these effects. The study proposes an empirical model to investigate the influence of economic and technological factors on the performance domains of community pharmacists in southwestern Nigeria. A cross-sectional study with self-administered questio… Show more

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Cited by 2 publications
(2 citation statements)
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“…The findings of the study were obtained using the illustrative step-by-step procedure for establishing the validity of theoretically developed constructs. The performance domains of community pharmacists-economic, operational, and social aspects were confirmed to be valid representations of theory as shown in Tables 1 and 2 [18]. This supports and opens more opportunities for the discovery of relationships that hitherto were not easily accessed.…”
Section: Discussionsupporting
confidence: 66%
See 1 more Smart Citation
“…The findings of the study were obtained using the illustrative step-by-step procedure for establishing the validity of theoretically developed constructs. The performance domains of community pharmacists-economic, operational, and social aspects were confirmed to be valid representations of theory as shown in Tables 1 and 2 [18]. This supports and opens more opportunities for the discovery of relationships that hitherto were not easily accessed.…”
Section: Discussionsupporting
confidence: 66%
“…Hence, researchers must ensure parsimony, measurement adequacy, and theoretically valid constructs. Therefore, the use of confirmatory factor analysis (CFA) and measurement invariance is a suggested methodology to adopt [12,[17][18][19]. Measurement invariance testing is a core requirement in cases of instrument bias suspicion and in situations where data is collected over two or more time points (longitudinal studies).…”
Section: Introductionmentioning
confidence: 99%