Assessing Factors Influencing the Adoption of Technology in the Port Supply Chain Industry in the West African Sub-Region: a Case Study of Integrated Customs System in Ghana.

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dc.contributor.author Antwi-Boampong, A.
dc.contributor.author King Boison, D.
dc.contributor.author Agbedoawu, J.
dc.contributor.author Blay, A.
dc.contributor.author Doumbia, M. O
dc.date.accessioned 2023-03-27T10:36:55Z
dc.date.available 2023-03-27T10:36:55Z
dc.date.issued 2022
dc.identifier.issn 4178806
dc.identifier.other 10.3390/fintech1040027
dc.identifier.uri https://www.mdpi.com/2674-1032/1/4/27
dc.identifier.uri http://atuspace.atu.edu.gh:8080/handle/123456789/3145
dc.description.abstract 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 Fintech program will now consider PE, EE, and HT the most effective adoption factors. From a practical perspective, the study will help managers and stakeholders in ports in Ghana and sub-Saharan Africa focus on the critical constructs as the first steps to implementing a Fintech program. On the other side, port users will also understand their role relative to performance expectancy, effort expectancy, and the habit to cultivate toward Fintech. en_US
dc.language.iso en_US en_US
dc.subject Fintech en_US
dc.subject Maritime en_US
dc.subject Ports en_US
dc.subject Adoption en_US
dc.subject Ghana en_US
dc.subject Developing country en_US
dc.title Assessing Factors Influencing the Adoption of Technology in the Port Supply Chain Industry in the West African Sub-Region: a Case Study of Integrated Customs System in Ghana. en_US


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