Assessing Competencies of Fintech Employees: Development and Validation of a Competency Model and Assessment Scale

Yaping Gong, Muhammad Aamir Khan and Kar Yan Tam

No g9e7j, OSF Preprints from Center for Open Science

Abstract: Fintech, which refers to various technologies (e.g., apps and software) that improve the delivery and/or use of financial activities, is increasingly applied in the financial services industry. However, little is known about the competencies of employees working with fintech (hereafter, ‘fintech employees’). We developed a competency model for fintech employees and then generated and validated instruments for assessing their competencies. In Study 1, we developed a competency model with 13 competencies for fintech employees through interviews and a survey. In Study 2, we followed the standard scale development process (i.e., item generation, content validity assessment, exploratory factor analysis, confirmatory factor analysis, and predictive validity assessment) to develop and validate items for assessing seven selected competencies. In Study 3, we checked the predictive validity of these competencies by testing our hypotheses. In general, these competencies predicted different aspects of fintech employee performance outcomes. Overall, we demonstrated the reliability, validity, and incremental predictive validity of the seven competencies.

Date: 2024-07-30
New Economics Papers: this item is included in nep-inv and nep-pay
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:g9e7j

DOI: 10.31219/osf.io/g9e7j

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