Factors Affecting Port Users’ Behavioral Intentions to Adopt Financial Technology (Fintech) in Ports in Sub-Saharan Africa: A Case of Ports in Ghana

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.

The Mediating Role of Emotional Arousal and Donation Anxiety on Blood Donation Intentions: Expanding on the Theory of Planned Behavior

“…This approach aimed to increase variety in the sample population, hence improving the representativeness and validity of the findings. To address this gap between theoretical motivations and practical intentions, a tailored quantitative analysis was performed, in particular, a quantitative non-experimental correlation design adapted from [64,65]. An explicit self-administrated web survey was conducted through particular sites typically used by potential and existing blood donors.…”

Social and facilitating influences in fintech user intention and the fintech gender gap

“…In the case of financial technology adoption, if consumers perceive that appropriate guidance and the required support are available, then they will be motivated to adopt Fintech services. Conversely, Antwi-Boampong et al [ 26 ] found no impact of facilitating factors on UI, indicating mixed findings on the impact of promoting conditions on FUI. As behaviour can be predicted with known behavioural control, future studies could develop the analysis of the impact of facilitating conditions on FUI.…”

“…That is, when users find the technology to be relevant to or addresses their needs, they will accept it. Consistent with the relevant theories, several studies have established behavioural intention as an outcome variable in examining the relationship between behavioural intention and social and facilitating factors [ 24 , 26 , 36 ]. Furthermore, according to the UTAUT2 model, sociodemographic variables such as age, income and experience have been hypothesised to moderate the effect of fintech on behavioural intention [ 20 ].…”

“…The literature reveals that social influence and perceived usefulness affect Fintech adoption [ 24 , 25 ]. Conversely, Antwi-Boampong et al [ 26 ] found that social factors did not influence the behavioural intention of the port users to enrol in Fintech. In addition, social factors have been shown to have no impact on the intention and use of mobile money services [ 27 ].…”

Examining the Dynamics of Customers Behavioral Intentions: An Empirical Analysis of Factors Influencing Fin-Tech Adoption in the Banking Sector of Pakistan

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