Although the autonomous vehicles market is still in its infancy, many people have switched from conventional vehicles to autonomous vehicles due to the numerous benefits and environmental advantages of owning them. Autonomous vehicles which promise to eliminate traffic crashes due to human errors are expected to penetrate the Malaysian market by 2025. However, past research has shown that psychological factors rather than technological aspects could deter the successful diffusion of autonomous vehicles in the market. By integrating the Technology Acceptance Model and the Theory of Planned Behaviour, this study investigates the influencing factors of the Malaysian public towards acceptance of autonomous vehicles and the moderating effects of socio demographic variables. A total of 306 respondents completed the online survey. The results show that the proposed integrated model can explain 82.9% of the variance in acceptance of autonomous vehicles. Among the variables, attitude and perceived behavioural control are significant contributors. In terms of moderating variables, income level, education level, and ethnicity moderated the effects of attitude, perceived usefulness, perceived ease of use, and acceptance. Insights drawn from this study could assist policy makers in devising strategic plans for promoting autonomous vehicles in the country.

Globally, technologically integrated housing solutions are increasingly relevant in addressing the challenges of aging populations and sustainable urban development. Drawing on the Technology Acceptance Model (TAM), this research investigates how perceptions of usefulness, ease of use, and attitudes influence relocation intention to smart retirement villages (SRVs), while also examining any significant differences between the socio-demographic variables and such intention. A total of 305 individuals aged 55 and above participated in an online survey, with data analyzed using IBM SPSS Statistics version 27 and AMOS-SEM version 25. The findings reveal that elderly individuals of Chinese ethnicity, those who are married, and those aged between 66 and 70 are more inclined to relocate to SRVs. Attitude and perceived usefulness significantly predict relocation intention, while perceived ease of use exerts an indirect effect through usefulness. These results highlight the importance of integrating user-centered technological design with socio-cultural and demographic considerations in the development of age-friendly built environments. The study offers insights for urban planners, policymakers, and developers seeking to create inclusive and sustainable smart housing solutions for aging populations.

In light of escalating global environmental deterioration, studies on pro-environmental intention and behaviour with the ultimate goal of identifying contributing factors to minimise environmental issues are common. Theory of Planned Behaviour (TPB) is widely used to study environmental intentions and behaviours. However, how quality of life (QoL) influences these intentions and interactions among TPB’s own variables within a single research framework has not been thoroughly explored. Therefore, this study extends TPB by incorporating the four dimensions of QoL, as measured by the Control, Autonomy, Self-Realisation, and Pleasure (CASP-19) scale, to understand pro-environmental intentions from Malaysian viewpoints. In this study, quantitative approach was applied, and the data were collected from Malaysians aged 18 and above (N = 182) in Klang Valley, Malaysia. Using Partial Least Squares Structural Equation Modelling (PLS-SEM), a two-step approach was employed to assess the measurement and structural models. The findings confirmed Theory of Planned Behaviour (TPB) is a robust model for environmental studies showing that subjective norm and perceived behavioural control significantly influence attitudes toward pro-environmental behaviour, ultimately leading to pro-environmental intention. Interestingly, this study found no relationship between QoL dimensions and pro-environmental intention. Lastly, both theoretical and managerial implications were discussed, and research limitations and suggestions for future research directions were put forward.

Touting the merits of reducing traffic fatalities by eliminating human errors and promoting social benefits, autonomous vehicle technology has been rapidly developed over the last few decades. Using the systematic review approach, this study provides an overview of current studies that apply the Technology Acceptance Model (TAM) in shaping user acceptance of autonomous vehicles. Based on a set of inclusion and exclusion criteria, a total of 16 articles out of 792,364 articles were retained for further analysis. The factors that have garnered the most attention from researchers are the technical and psychological factors, with the most frequent constructs integrated in these studies being perceived ease of use, followed by perceived usefulness, trust, attitude, perceived enjoyment, and perceived innovativeness. This study presents three key findings. The first shows that 36 potential antecedents influencing AV adoption were incorporated into TAM. Excluding the baseline model antecedents, the most studied factors were trust, personal innovativeness, and perceived enjoyment. Trust is widely recognized as a crucial factor in AV adoption and requires longitudinal research, as it is a dynamic element that evolves. The second finding concerns the various causal relationships between the constructs. The results showed mixed outcomes, which may be due to differences in levels of automation examined, geographical contexts, and socio-demographic factors. Third, the gaps identified in Section 4 can guide policymakers, researchers, and automakers in developing effective future strategies and research directions. Ultimately, a deeper understanding of public acceptance can facilitate the safe deployment of AVs on roads, leading to benefits such as improved traffic safety and increased sustainability for society and the economy.

Sustainable clothing has been gaining attention worldwide as customers become more aware of the negative impacts of fast fashion on communities and the environment. The present study aims to analyze whether the factors will influence customers’ intention to purchase sustainable clothing and determine whether there is heterogeneity between gender groups in these relationships. A total of 174 respondents participated in the study through a survey link posted on social media. The model was analyzed using permutation tests and bootstrap multi-group analysis. Findings revealed that brand image and self-concept positively affect customers’ intention to purchase sustainable clothing, whereas gender does not change the strength and direction of the relationships between variables. There was a significant relationship between price and sustainable clothing purchase intention for males but not for females. This study provides insights to all those involved in the fashion industry, especially within the sustainable clothing subtype of fashion. Future research should be undertaken to explore further how customers’ intention to purchase sustainable clothing is affected by industry practices such as ethical sourcing and transparent disclosure of supply chain practices, as well as include different groups of customers to better understand the factors influencing customers’ purchase intention towards sustainable clothing.

Purpose: This study investigates underexplored factors influencing postgraduate students' intention to graduate on time (GOT), which is crucial given rising student numbers. The theory of planned behaviour (TPB) is integrated with achievement motivation, family support, institutional support and supervisory practices to offer insights for institutions and policymakers. Design/methodology/approach: Data was collected from 235 postgraduate students at Malaysian universities in Klang Valley via an online survey. The proposed relationships between the variables were then tested using partial least squares-structural equation modelling (PLS-SEM). Findings: Achievement motivation, supervisory practices, subjective norm, perceived behavioural control and attitude play significant roles in affecting students' intention to GOT. Achievement motivation turned out to be the strongest predictor. Interestingly, attitude is affected by subjective norm, but not by perceived behavioural control. Family and institutional support showed no significant impact on the intention to GOT. Originality/value: This study offers novel insights into postgraduates' intention to GOT, particularly in Malaysia. It enriches the TPB model along with key additional variables in providing specific findings that can inform strategies for success among postgraduate students.