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This study aims to explore the determinants of green electronics purchase intention in Malaysia by extending existing knowledge on green consumer behavior and contributing to the field of sustainable consumption.

A quantitative research approach was adopted, with data collected from 250 Malaysian consumers. The proposed model was tested using partial least squares structural equation modeling to assess the relationships between various determinants and green purchase intention.

The results demonstrate that perceived consumer effectiveness, green advertising and monetary cost positively affect environmental attitudes, which subsequently influence green purchase intention. The study also identifies that brand image and information quality significantly enhance green brand trust (GBT), leading to stronger intentions to engage in green purchasing. Additionally, it finds that environmental knowledge and environmental concern shape perceived behavioral control, which further impacts green purchasing intention.

The study focuses on Malaysian consumers, which may limit the generalizability of the findings to other cultural contexts. Future research could expand the scope to include cross-cultural comparisons to validate the model in different settings.

By providing insights into the key factors driving consumers’ intention to purchase green electronics, the study offers valuable guidance for marketers and manufacturers to develop targeted strategies that promote sustainable consumption and capitalize on the growing demand for green products in Malaysia.

This study is unique in measuring the influence of green attitude, GBT and perceived behavioral control on green purchase intention specifically within the electronics sector, offering a novel contribution to the literature on sustainable consumer behavior.

Current developments in the FinTech payment industry have shown a rapid revolution in Industry 4.0, and understanding the factors affecting individual acceptance of facial recognition payment (FRP) is crucial. Hence, this study aims to evaluate the benefits and risks of FRP system adoption in Malaysia.

The perceived risks and benefits framework is adopted as the foundation in this study to examine the various risks and benefits that users perceive, along with the trust factor, to study the relationships between these variables. Data were collected via an online questionnaire, and the hypotheses were tested using Partial Least Squares analysis on 277 responses.

The results revealed that perceived risk is a significant predictor of users' intention to use the FRP system. Privacy risk and financial risk significantly influence perceived risks, while security risk does not. Although convenience, perceived ease of use and perceived trust positively influence perceived benefits, perceived benefits do not significantly influence adoption intention. Moreover, perceived trust negatively affects perceived risks while positively affecting both perceived benefits and adoption intention. Additionally, personal innovativeness moderates the relationship between perceived risks and the intention to use the FRP system.

This study helps policymakers and service providers understand individuals’ concerns and expectations regarding FRP systems. It aids practitioners in developing strategies to build trust, address innovativeness differences and mitigate risks, serving as a roadmap for integrating these systems into Malaysia's financial landscape.

This study distinguishes itself from prior research by evaluating FRP system adoption in Malaysia through the lens of perceived risks and benefits framework. It also explores personal innovativeness as a moderator, examining its impact on the relationship between usage intention and perceived risks and benefits. Additionally, it highlights perceived trust as a crucial factor influencing individuals' intention to adopt FRPs.

This study aims to model the purchase intention of virtual reality hardware using the cognition-affect-conation (CAC) model, which integrates psychology and consumer behavior research to explain how individuals' thoughts, emotions and intentions influence their behaviors.

Data were collected from individuals aged 18 and above who had no prior experience with virtual reality hardware. A total of 330 valid responses were obtained from individuals residing in Malaysia and analyzed using the partial least squares (PLS) approach.

The study validates that vividness, perceived ease of use, perceived usefulness, perceived enjoyment and utilitarian value have a positive impact on attitude. Vividness, perceived ease of use, perceived enjoyment and perceived value have a significant relationship with satisfaction, while perceived usefulness and utilitarian values have a negative impact on satisfaction. Furthermore, the study underscores the positive correlation between attitude and satisfaction. The relationship between satisfaction, attitude and purchase intention is confirmed. Lastly, the moderating effect of individualism on the relationship between satisfaction and attitude towards purchase intention is confirmed.

The findings provide valuable guidance for virtual reality designers and marketers, offering effective strategies to enhance brand promotion, user retention and sales through the skillful integration of virtual reality hardware.

The study enhances the understanding of consumer acceptance behavior regarding virtual reality hardware by incorporating affective aspects into cognitive factors and including individualism as a moderating factor. It addresses an important gap in the research landscape of the immersive industry, particularly concerning virtual reality hardware within the Malaysian context.

With the pandemic reshaping healthcare delivery, telemedicine has emerged as a vital solution for overcoming access barriers, particularly in resource-constrained settings. Hence, this study explores the key drivers behind the sustained use of telemedicine services in low-income countries during the post-pandemic period.

Using a quantitative research approach and purposive sampling technique, 273 valid responses were gathered from participants in Bangladesh. A comparative analysis utilizing partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were conducted to ensure greater accuracy.

The PLS-SEM analysis revealed that expectation confirmation and perceived ease of use positively influence satisfaction. Similarly, perceived usefulness and perceived ease of use directly impact Attitude toward telemedicine services. However, perceived usefulness and perceived security were not significantly associated with satisfaction and attitude toward telemedicine services, respectively. The findings highlight that user satisfaction drives continuance use intention for telemedicine services, but only when it also cultivates a positive attitude toward telemedicine services. While the PLS-SEM findings indicate that perceived usefulness has no significant relationship with satisfaction and perceived security is not significantly associated with attitude toward telemedicine services, the fsQCA results offer a different perspective. fsQCA reveals that perceived usefulness retains a significant association with satisfaction and that perceived security, regardless of whether its effect is high or low, is equally effective in contributing to the intention for continuous telemedicine use. These findings underscore fsQCA’s ability to provide deeper insights into the complex causal relationships among the antecedents.

The findings provide valuable insights for hospitals, doctors and telemedicine providers on retaining existing users. Additionally, governments can leverage this information to address healthcare disparities between urban and rural areas. The study also identifies strategies to reduce costs and improve the efficiency of healthcare services.

This study advances telemedicine research by employing the extended technology continuance theory (ETCT) alongside a hybrid analytical approach that integrates PLS-SEM and fsQCA. It highlights that telemedicine organizations can boost patient confidence and encourage continued use by enhancing satisfaction and cultivating a positive user attitude. The innovative use of ETCT and the combined methodologies provide a comprehensive analysis, offering actionable strategies to retain telemedicine users in low-income countries during the post-pandemic period.

Drawing on protection motivation theory (PMT), this study aims to explore the factors that enhance cybersecurity awareness among online banking users in Malaysia. More specifically, it investigates the influences of perceived vulnerability, perceived severity, technical knowledge, privacy intrusions and privacy awareness on perceived threats and then examines the effects of perceived threats, along with response efficacy and self-efficacy, on cybersecurity awareness, considering the moderating role of fear of cyberattacks.

A survey-based research approach was applied, and the hypotheses were tested using a sample of 324 respondents, employing partial least squares structural equation modeling (PLS-SEM).

The results show that perceived vulnerability, perceived severity, privacy intrusions and privacy awareness significantly influence perceived threats, while technical knowledge does not influence perceived threats. Furthermore, it was found that response efficacy and self-efficacy both enhance cybersecurity awareness, while perceived threats have no influence on it. Finally, our research confirmed the moderating role of fear of cyberattacks in the relationship between self-efficacy and cybersecurity awareness.

For individuals, the study highlights the significance of fear, privacy awareness and response efficacy in shaping cybersecurity perceptions, paving the way for enhanced and tailored awareness programs. Moreover, the understanding of relationships between perceived threats, response efficacy and self-efficacy empowers individuals to craft personalized risk mitigation strategies, fostering confidence in navigating the digital landscape. Businesses can leverage the insights for informed design of employee training programs and data-driven decision-making in cybersecurity investments. Government entities, recognizing the nuanced relationship between perceived threats and cybersecurity awareness, are encouraged to formulate context-specific policies and foster cross-sector collaboration for comprehensive cybersecurity initiatives.

This research extends PMT by incorporating additional antecedent variables – namely, technical knowledge, privacy intrusions and privacy awareness within the online banking context that have been overlooked thus far. Furthermore, it delves into the unique role of fear of cyberattack as a moderating variable, thereby enhancing our understanding of PMT.