An analysis of sustainable change management for quality 4.0: Evidence from hybrid project management adoption in the Malaysian FinTech context

Abstract

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.

Insights into quality professionals' adoption of Quality 4.0 in the high-tech industry

“…The R 2 value denotes the proportion of variance in endogenous variables explained by the exogenous variables (Xiang et al. , 2023).…”

“…The literature review reveals several research publications utilizing the questionnaire method to ascertain the practitioners' perception of the Quality 4.0 technologies (Maganga and Taifa, 2023; Xiang et al. , 2023; Roy Ghatak and Garza-Reyes, 2024; Alrabadi et al.…”

“…The literature review reveals several research publications utilizing the questionnaire method to ascertain the practitioners' perception of the Quality 4.0 technologies (Maganga and Taifa, 2023;Xiang et al, 2023;Roy Ghatak and Garza-Reyes, 2024;Alrabadi et al, 2023). Considering the literature review on latent variables included in the technology acceptance models, it is observable that there is no standardized approach and models are formulated according to researchers' preferences.…”

“…The R 2 value denotes the proportion of variance in endogenous variables explained by the exogenous variables (Xiang et al, 2023). Thus, a higher R 2 value increases the predictive ability of the structural model.…”