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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.

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.

Artificial intelligence (AI) customer service has grown rapidly in recent years due to the emergence of COVID-19 and the growth of the e-commerce industry. Therefore, this study employs the integration of the stimuli–organism–response (SOR) and the task-technology fit (TTF) frameworks to understand the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia.

The study utilised a survey-based research approach to investigate the factors that affect individuals’ intentions towards AI customer service adoption in Malaysia. The data were collected by conducting an online survey targeting individuals aged 18 or above who had prior customer service interaction experience with human service agents but had not yet adopted AI customer service. A sample of 339 respondents was used to evaluate the hypotheses, adopting partial least squares structural equation modelling as a symmetric analytic technique.

The PLS-SEM analysis revealed that social influence and anthropomorphism have a positive direct relationship with emotional trust. Furthermore, communicative competence, technology characteristics and perceived intelligence were positively correlated with TTF. Moreover, emotional trust significantly impacts AI customer service adoption. In addition, AI readiness positively moderates the association between task technology fit and AI customer service adoption.

The study provides insights to individuals, organisations, the government and educational institutions to improve the features of AI customer service and its development in Malaysia.

The originality of this study is found in its adoption of the SOR theory and TTF to understand the factors affecting AI customer service adoption. Additionally, it incorporates moderating variables during the analysis, adding depth to the findings. This approach introduces a new perspective on the factors that impact the adoption of AI customer service and offers valuable insights for practitioners seeking to formulate effective strategies to promote its adoption.

This study aims to investigate how dynamic capabilities, i.e. sensing, learning, integrating and coordinating trigger sustainable innovation performance. It also examines the direct and moderating role of environmental turbulence towards the sustainable innovation performance of small and medium-sized enterprises (SMEs).

The data were collected through a cross-sectional survey of 169 SMEs in Oman and analysed through structural equation modelling using SmartPLS software.

Findings of this study reveal that the sustainable innovation performance of SMEs is greatly influenced by the synergy of learning, integrating and coordinating capabilities. Notably, among these capabilities, coordinating capability emerges as the most important capability for SMEs with a primary emphasis on fostering both human and organizational well-being. However, this research reveals that building dynamic capabilities alone might not be sufficient to address social, ecological and economic sustainability criteria, and SMEs may need to extend their view beyond internal processes and integrate various environmental contingencies into their approaches while focusing on sustainable innovation performance.

This research is useful for business managers while allocating resources in their business efficiently and effectively to achieve sustainable innovation performance. It also highlights that SMEs need to integrate various environmental contingencies into their approaches while focusing on sustainable innovation performance.

To the best of the authors’ knowledge, this study is one of the first to contribute to SME scholarship by mainly investigating the effect of specific four types of dynamic capabilities on sustainable innovation performance in a turbulent environment. This study is likely to contribute to the SMEs addressing sustainability innovation performance and develop capabilities to be sustainable in a turbulent environment.

In the current dynamic environment, technological capabilities and open innovation play vital roles in operational performance of small and medium enterprises (SMEs). Thus, the purpose of this paper is to explore the influence of technological capabilities on open innovation and consequent impact on perceived operational performance of the SMEs in Malaysia by considering the moderating effect of environmental dynamism.

This study is quantitative in nature and used a survey questionnaire to gather responses from 202 SME owners in Malaysia. The data were analyzed with SmartPLS software, as it used structural equation modeling.

The results show that technological capabilities significantly influence open innovation whereas open innovation plays an instrumental role to achieve operational performance of the SMEs. Interestingly, environmental dynamism was found to have a negative moderating role in the relationship between open innovation and perceived operational performance.

This paper will assist SME managers in making effective decisions while using technological capabilities and open innovation practices. Managers need to be aware of the vital role of technological capabilities to build external and internal collaboration and incorporate their knowledge that is necessary for open innovation practices. The results also assist managers in a way that in the dynamic and competitive environment SMEs should take further proactive actions to compete in the market to survive.

This study provides new insights by dismantling technological capabilities and open innovation to understand further the effects of technological capabilities on open innovation and its consequence on a firm’s operational performance.

This study aims to investigate the factors that influence the continuance intention to use personal cloud storage services among Generation Y.

A quantitative online survey was carried out to collect data from 271 respondents. Structural equation modelling with SmartPLS 4.0 software was used to run the analysis and examine the hypothesized relationships in the research model.

The study revealed that both satisfaction and habit exert a significant influence on continuance intention, whereas self-efficacy does not demonstrate a significant effect. In addition, satisfaction was found to be influenced by confirmation, perceived usefulness and perceived security. Furthermore, confirmation and cloud storage service quality were found to impact perceived usefulness, while confirmation also had an effect on perceived security. However, the hypothesized moderating role of perceived privacy risk in the relationship between perceived usefulness, perceived security and satisfaction was not supported.

This study advances the field by adapting an expanded expectation-confirmation model that delineates the nuanced impacts of habit, user satisfaction and self-efficacy on Generation Y’s continuance intention to use personal cloud storage services. It challenges the conventional wisdom regarding self-efficacy’s influence on technology adoption, offering a more intricate portrayal of its role. This research contributes a distinctive theoretical perspective, emphasizing the complex interplay of factors that inform sustained user engagement with cloud technologies.

The study seeks to understand the possible opportunities that Industry 5.0 might offer for various aspects of inclusive sustainability. The study aims to discuss existing perspectives on the classification of Industry 5.0 technologies and their underlying role in materializing the sustainability values of this agenda.

The study systematically reviewed Industry 5.0 literature based on the PRISMA protocol. The study further employed a detailed content-centric review of eligible documents and conducted evidence mapping to fulfill the research objectives.

The advancement of Industry 5.0 is currently underway, with noteworthy initial contributions enriching its knowledge base. Although a unanimous definition remains lacking, diverse viewpoints emerge concerning the recognition of fundamental technologies and the potential for yielding sustainable outcomes. The expected contribution of Industry 5.0 to sustainability varies significantly depending on the context and the nature of underlying technologies.

Industry 5.0 holds the potential for advancing sustainability at both the firm and supply chain levels. It is envisioned to contribute proportionately to the three sustainability dimensions. However, the current discourse primarily dwells in theoretical and conceptual domains, lacking empirical exploration of its practical implications.

This study comprehensively explores diverse perspectives on Industry 5.0 technologies and their potential contributions to economic, environmental and social sustainability. Despite its promise, the practical evidence supporting the effectiveness of Industry 5.0 remains limited. Certain conditions are necessary to realize the benefits of Industry 5.0 fully, yet the mechanisms behind these conditions require further investigation. In this regard, the study suggests several potential areas for future research.

The purpose of this paper is to devise and test a model of halal logistic service quality.

To develop the halal logistics service quality model, the relevant literature was reviewed and a qualitative study was carried out on halal logistics service providers and their customers. A survey of 253 halal food and beverage firms in Malaysia was conducted, and based on the results, a model was developed and tested empirically.

Based on the literature review, interviews, pretest and empirical study, a valid and reliable measurement instrument for halal logistics service quality was developed.

The findings can help managers of halal logistics service providers to understand the criteria that halal food and beverage firms are considered to judge the quality of halal logistics services.

This study makes a valuable contribution by proposing a halal logistics service quality model.

The objectives of this study is first to assess the effect of organizational antecedents on knowledge management capability and its effect on innovation strategy through the moderating effect of environmental dynamism.

The data were collected from SMEs in central region of Malaysia through a cross-sectional survey of 202 owners and analyzed through structural equation modeling using SmartPLS software.

The results show that while formal structure, selection policies, incentives and training and development policies have positive affect on knowledge management capability, there is no effect of innovation culture on knowledge management capability. Knowledge management capability has a positive and significant effect on innovation strategy. Interestingly, the findings show that environmental dynamism strengthens the positive effect of knowledge management capability on innovation strategy.

The findings of this study emphasize on the potential of collaboration among people for creating effective knowledge sharing in organizations and modalities in order to successfully design a collaborative knowledge-based work environment.

The model links organizational antecedents with knowledge management capability and the critical role of knowledge management capability on innovation strategy of SMEs considering environmental dynamism.