Factors affecting port users’ behavioral intentions to adopt financial technology (fintech) in ports in sub-saharan africa: A case of ports in Ghana

Factors affecting port users’ behavioral intentions to adopt financial technology (fintech) in ports in sub-saharan africa --A case of ports in Ghana.pdf

Dublin Core

Title

Factors affecting port users’ behavioral intentions to adopt financial technology (fintech) in ports in sub-saharan africa: A case of ports in Ghana

Creator

Ahmed Antwi-Boampong, David King Boison, Musah Osumanu Doumbia, Afia Nyarko Boakye, Linda Osei-Fosua, Kwame Owiredu Sarbeng

Description

The study evaluated factors influencing port users’ intentions to participate in Financial Technology (Fintech) in the ports of Ghana. The study used non-experimental quantitative correlational design and the Extended Unified Theory of the Acceptance and Use of Technology (UTAUT2) as the theoretical foundation to assess whether performance expectancy (PE), behavioral intention (BI), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), and habit (HT) were predictors of the intention of port users to participate in a Fintech program with age as a moderating factor. The sample comprised 407 individuals who work in the port industry and are between 18 and 64 years old; these were randomly selected through the SurveyMonkey platform. The study used principal component analysis (PCA), confirmatory factor analysis, and structural equation modeling to analyze and report the results. Findings show that PE, EE, and HT were predictors of the behavioral intention of port users to participate in a Fintech in the maritime and ports in Ghana. FC, SI, HM, and PV values could not predict BI for port users to enroll on a Fintech program. Neither did age have a moderating effect on the predictors variable influence on behavioral intention. This study offers a deeper insight into the adoption of Fintech in the port industry and sub-Saharan Africa. The findings can help researchers explain the variations in the UTAUT2 theoretical framework predictions relative to different sectors and disciplines. Researchers who intend to use the UTAUT2 theoretical framework to influence port users BI to enroll in the …

Publisher

MDPI

Date

2022

Source

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=riwB9JUAAAAJ&citation_for_view=riwB9JUAAAAJ:qe6vwMD2xtsC

Language

English