In this paper, the authors aim to analyse organisational intention and focus on hybrid project management (HPM) methodology adoption in FinTech system software development. It is important to ascertain the internal and external factors that affect organisational decision-makers’ intentions towards HPM adoption. This study aims to apply a theoretical approach integrating Technology-Organisation-Environment (TOE), which examines the factors that impact FinTech organisations’ decisions to adopt HPM into their software development projects, together with the Theory of Planned Behaviour (TPB) which examines the behavioural intention. It addresses those factors that form organisational decision-makers’ readiness for HPM implementation and enable their intention to use it. When combining the independent, dependent, and moderating variables, the results show that the effect of relative advantage, top management support, and industry pressure have a positive influence on individual’s attitude towards HPM adoption in FinTech Malaysia and sustainability in Quality 4.0. The authors also considered the influence of attitudes and perceived behavioural control variables having a positive influence on sustainable intention of HPM adoption in the FinTech industry. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to verify the proposed hypotheses, with the exception of the direct influence of top management support or attitude on intention to adopt.

Recently, due to the tremendous development in information and communication technology, the world is moving rapidly towards digitization in all areas of life. In the financial context, Financial Technology (Fintech) has the potential to transform the financial sector by offering innovative digital solutions, but its adoption depends on various individual, organizational, and environmental factors. This research paper aims to identify and analyze the determinants that influence the intention to adopt fintech. A self-administered survey was utilized to collect the necessary data. Data were analyzed using SPSS version 26 for descriptive analysis as well as SmartPLS version 3.0 by implementing the PLS algorithm and Bootstrapping techniques. This study finds that intention to adopt Fintech is affected by perceived usefulness, perceived ease of use, trust, social influence, and facilitating conditions. This study also examined the relationships between these variables. The findings will provide insights for fintech stakeholders, policymakers, and researchers to foster a conducive environment for Fintech adoption and usage.