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The issue of tax evasion through fraudulent financial reporting committed by companies is a major concern facing the tax authority in Malaysia. As such, the purpose of this study is to propose a cohesive model of predicting tax evasion from the perspective of fraudulent financial reporting amongst small- and medium-sized enterprise (SME) taxpayers.

The proposed model for this study is designed to explore the extent of the relationships between the independent variables: family ownership firms, company size, presence of tax professionals, company’s duration in business and frequency of tax audits and the moderating variable, i.e. tax audit officers’ level of competence; and the dependent variable, i.e. tax evasion from the perspective of fraudulent financial reporting. This study is grounded on four theories: agency theory, political cost theory, economic deterrence theory and competency theory. Data will be gathered from actual audit cases resolved by the Inland Revenue Board of Malaysia. Ordinary least square regression analysis is proposed for the investigation.

This study anticipates that family ownership firms, company size, presence of tax professionals, company’s duration in business and frequency of tax audits could be associated with tax evasion amongst SMEs in Malaysia. This study further proposes that highly competent tax audit officers could mitigate the relationship between frequency of tax audits and tax evasion practices amongst SMEs in Malaysia.

This study should be able to provide a cohesive model of predicting tax evasion from the perspective of fraudulent financial reporting amongst SMEs in Malaysia. Research on fraudulent financial reporting amongst SMEs is very limited, especially involving the level of competence of the tax audit officers; therefore, this study should contribute to the tax evasion literature by providing a comprehensive model of predicting tax evasion through fraudulent financial reporting using a Malaysian tax setting.

The purpose of this paper is to tackle one of the issues in tax evasion, that is from the perspective of fraudulent financial reporting amongst small and medium-sized enterprises (SMEs) in Malaysia. This study is intended to examine the relationships between certain company attributes, namely, company ownership structure, the size of company and the frequency of tax audits and how they relate to tax evasion practices amongst SMEs in Malaysia.

This paper examined 397 companies which have been audited by the Inland Revenue Board of Malaysia (IRBM) during the years 2016 and 2017. A research model was developed and the authors use ordinary least square regression analysis to examine the effect of three prominent independent variables, which are company ownership structure, the size of company and the frequency of tax audits on SMEs’ tax evasion practices in Malaysia.

The authors find that family ownership firms and company size have statistically significant positive relationship with tax evasion practices detected during tax audits. The results also show that the frequency of tax audits conducted positively affect the increase of tax evasion activities amongst SMEs in Malaysia.

To the best of the authors’ knowledge, this study could be the first in Malaysia that uses the actual audited data examining the fraudulent financial reporting cases amongst SMEs, and this could provide important insights to the IRBM to enable this tax authority to improve its policy-making decisions in relation to selecting the right companies for audits in the future and subsequently may assist its collection department in generating additional income for the nation.

The increasing innovation and urgent need of up-to-date and convenient information systems have gained high importance in financial sector. Several banks have deployed internet banking in order to reduce cost while improving customer services. Therefore, the growth of internet banking is limited and in many cases fallen short of expectations. The purpose of this paper is to develop an integrated model that combines technology, innovative and environmental factors altogether in order to understand customer’s intention to adopt, and intention to recommend internet banking in social networks.

In all, 398 valid responses were collected from customers of commercial banks, using convenience sampling approach. Data were analyzed using the structural equation modeling.

The findings show that integrated model has good explanatory power (78.3 percent) to predict customer’s intention to adopt internet banking. Findings also revealed that the interaction effect of gamification between user’s intention to adopt and user’s intention to recommend internet banking will be stronger when gamification effect is higher. Importance performance matrix analysis (IPMA) revealed that innovativeness and perceived technology security were the most important factors in order to determine user’s intention with regard to adoption of internet banking.

For policy-makers, it is suggested that they should focus on innovative characteristics and must ensure the possible environment for carrying out internet banking transaction. Advertising about new technology with adequate information may produce positive influence on user’s intention. Enjoyable internet banking website with reward system will help to improve user’s intention to adopt and intention to recommend internet banking with others, thus developers should introduce game features on internet banking website.

This study provides basis for further refinement of individual technology acceptance models and enrich the e-commerce literature adding innovative and game elements in interne banking adoption context. Additionally, the proposed model makes an important contribution in emerging e-commerce literature especially in the context of innovative and gamified internet banking.

Internet banking services are proven to be much advantageous and convenient during COVID-19 pandemic. However, vibrant networking designs and dynamic changes in software development have made these services bit complex. Thus, the current study seeks to investigate Internet banking user continuance intention with factors underpinning self-determination theory (SDT) and expectation confirmation model (ECM) theory. The moderating role of image is studied between user intention to continue use of Internet banking and intention to recommend Internet banking service in social networks during COVID-19 pandemic.

The quantitative research approach is applied and data collected through a research survey. For inferential analysis, 360 responses were collected from active Internet banking users. The integrated information system model was empirically tested using structural equation modeling (SEM) approach.

Findings indicate that integrated IS research model has substantial explanatory power, i.e. 57.8% to predict continuance intention of Internet banking users. Within integrated research model, intrinsic regulation was found the most influential factor in order to determine Internet banking user continuance intention. Beside two theories integration, this study confirmed that the relationship between user continuance intention and intention to recommend Internet banking is moderated by image.

The fundamental contribution of this study is the integration of technological and motivational factors in Internet banking user continuance intention context. Theoretically, integration of both theories ECM and SDT in technology continuance intention context will enrich the emerging e-commerce literature. Concerning with managerial implications, intrinsic regulation was identified as an important factor among other factors. Therefore, managers and software developers need to understand user’s intrinsic motivational factors in order to boost continuance intention of Internet banking users. It is also suggested that managers and marketing personnel should pay special attention to create a positive image of Internet banking services among Internet banking users.

Within information system literature the concept of user continuance intention has yet to be examined especially in Internet banking context. Thus, current research fills research gap and proposes an integrated technology motivational framework that combines motivational factors and technology factors altogether to investigate Internet banking user continuance behavior.

Technology adoption is a great challenge in the banking sector of Pakistan. A recent report issued by state bank of Pakistan revealed that there is a squeak growth, only 3 percent, in internet banking adoption. In order to effectively delve into the issue of internet banking adoption, the purpose of this paper is to use unified theory of acceptance and use of technology factors, namely performance expectancy and effort expectancy and e-service quality (E-SQ), as theoretical lens for this study.

The research model was empirically tested using 398 valid responses from customers of commercial banks in Pakistan. The theoretical model was tested using structural equation modeling.

Findings indicate that performance expectancy, effort expectancy, website design, customer service, assurance and reliability have direct influence on user intention to adopt internet banking. Results revealed that approximately 79 percent of variance in user intention to adopt internet banking was explained by predictors. In addition, the mediating role of performance expectancy and effort expectancy among website design, customer service and user intention was also confirmed.

For researchers, this study provides a base of integrated technology model and it suggests using this model in other online domains such as mobile payment and online web-shopping for further refinement. For policymakers, understanding the key constructs is important to design, refine and implement new internet banking website that, in turn, will boost internet banking adoption trend among users of commercial banks.

This paper makes a unique contribution toward information system and services marketing literature. The study schematized that website design, customer service, assurance and reliability are the key dimensions of E-SQ and significantly influence the user intention to adopt internet banking.

Recent disruptions have sparked concern about building a resilient and sustainable manufacturing supply chain. While artificial intelligence (AI) strengthens resilience, research is needed to understand how cloud adoption can foster integration, collaboration, adaptation and sustainable manufacturing. Therefore, this study aimed to unleash the power of cloud adoption and AI in optimizing resilience and sustainable performance through collaboration and adaptive capabilities at manufacturing firms.

This research followed a deductive approach and employed a quantitative method with a survey technique to collect data from its target population. The study used stratified random sampling with a sample size of 1,279 participants working in diverse manufacturing industries across California, Texas and New York.

This research investigated how companies can make their manufacturing supply chains more resilient and sustainable. The findings revealed that integrating the manufacturing supply chains can foster collaboration and enhance adaptability, leading to better performance (hypotheses H1-H7, except H5). Additionally, utilizing artificial intelligence helps improve adaptability, further strengthening resilience and sustainability (H8-H11). Interestingly, the study found that internal integration alone does not significantly impact collaboration (H5). This suggests that external factors are more critical in fostering collaboration within the manufacturing supply chain during disruptions.

This study dives into the complex world of interconnected factors (formative constructs in higher order) influencing manufacturing supply chains. Using advanced modeling techniques, it highlights the powerful impact of cloud-based integration. Cloud-based integration and artificial intelligence unlock significant improvements for manufacturers and decision-makers by enabling information processes and dynamic capability theory.

The use of e-health applications has remained popular during pandemic for medical treatments. Nevertheless, adoption of e-health applications among individuals is considerably low in post-COVID-19 world. To address this issue, the current research integrates three renowned theories, namely unified theory of acceptance and use of technology model, diffusion of innovation and DeLone and McLean model and investigates individual intention to adopt e-health application.

Research design is grounded in quantitative and cross-sectional methods and uses a survey questionnaire. Survey questionnaire is administered toward smartphone users. Overall, 238 valid responses were analyzed with structural equation modeling approach.

Results indicate that altogether performance expectancy, effort expectancy, information quality, system quality, service quality, facilitating condition and social influence explained substantial variance (R² = 76.5%) in user intention to adopt e-health applications. Similarly, effect size analysis has revealed substantial impact of social influence on user intention to adopt e-health applications. Geiser and Stone’s Q² analysis discloses that research model has substantial power to predict user intention to adopt e-health applications.

This study integrates three known information system models to investigate individual behavior toward adoption of e-health applications. In practice, it suggests that managers should pay attention in improving performance expectancy, social influence, facilitating condition, system quality, service quality and information quality which develop positive behavior and encourage smartphone users to adopt e-health applications.

This study is original as it integrates three models and investigates individual intention to adopt e-health applications. To the best of the author’s knowledge, this is the first study to test the moderating impact of patient health value between user intention to adopt and actual use of e-health applications. It has established that compatibility and innovativeness are essential antecedents of performance and effort expectancy and hence make this research more unique and valuable.

Based on the job demand and resource (JD–R) model, this study identifies the factors influencing fatigue among seafarers in Malaysia.

A total of 250 responses were gathered via an online survey applying a purposive sampling method. The derived data were analysed using partial least squares-structural equation modelling (PLS-SEM) via SmartPLS 4.

Job demand positively influences sleep problems and occupational stress, while job resources positively impact job autonomy. The research analysis also confirms the positive effect of sleep problems and occupational stress on fatigue. Furthermore, the study reveals the negative effect of job autonomy on fatigue. In-depth analysis confirms the mediation and sequential mediation effects as the determinants of fatigue among seafarers in Malaysia.

Besides enriching the literature on fatigue, the findings provide practical insights to maritime agencies to develop an effective policy to reduce fatigue among seafarers.

The study develops a new model for seafarers’ fatigue via the JD–R model by introducing work pressure, sleep problems, occupational stress and autonomy as sequential mediators.

This paper aims to investigate the motivating factors for Malaysian governmental agencies (MGAs) to embrace chatbot technology.

Based on the technology-organisation-environment (TOE) framework, using purposive and snowball sampling techniques, 262 online data from the MGA top management were gathered. Smart PLS4 was employed to test the hypotheses of the study.

The findings demonstrated positive relationships between technological readiness (TR), big data analytics (BDA), organisational readiness (OR), organisational learning capabilities (OLC) and governmental policies (GP) concerning chatbot adoption intention and also the relationship GP with OR. A mediating effect was also observed, which indicated the OLC role in positively mediating BDA, the OR role in positively mediating OLC and the OR role in positively mediating GP with OR and OLC as sequential mediators in the relationship between BDA and chatbot adoption intention. Furthermore, the presence of citizen demand (CD) strengthened the relationship between TR, OR and chatbot adoption intention.

This study was limited to Malaysian federal government agencies who still not adopting Chatbots.

The findings offer valuable insight into factors affect the adoption of chatbots among Malaysian government agencies. Stakeholders, including department heads, can use these findings to strategically enhance counter service by promoting chatbot adoption.

The study demonstrated that the TOE framework was effective in identifying the factors contributing to the decision-making process for adopting chatbots across MGAs. Organisational readiness and organisation learning capability was found to sequentially mediate the relationship between big data analytic and intention to adopt chatbot. Citizen demand was found to have moderation effect on the relationship between organisational readiness and technological readiness towards the intention to adopt a chatbot.

The purpose of the study is to identify factors influencing the continuance of use of non-halal certified cosmetics among Muslim university students in Malaysia.

The research framework was developed based on the stimulus–organism–response model. Self-administered questionnaires were distributed using a purposive sampling method among Muslim students in three universities in Malaysia. A total of 501 usable data were collected and analysed using Smart partial least squares.

The analysis revealed that celebrity endorsement positively influences attitude and brand image. Meanwhile, brand image has a positive effect on attitude and continuance of use of non-halal certified cosmetics. Additionally, attitude has a positive effect on the continuance of use behaviour. Regarding predictive power enhancement, brand image and attitude were found to have a mediation effect and sequential mediation effect on the relationship between celebrity endorsement and the continuance of use behaviour. Attitude weakens the relationship between attitude and the continuance of use of non-halal cosmetics among Muslim university students in Malaysia.

Findings will primarily benefit halal and non-halal cosmetic manufacturers providing stakeholders with fundamental predicting information related to customers’ continuance of use thus resulting in better marketing strategies.

This study is focused on predicting consumer behaviour towards halal products, as well as young Muslim consumers’ perspective towards non-halal cosmetics. Celebrity endorsement is introduced as a stimulus in the context of Muslim university students to predict their continuance of use behaviour of non-halal certified cosmetics. The investigation includes the moderating effect of religiosity for the relationship between attitude and continuance behaviour. Findings reveal the mediating effects of brand image and attitude as a mediator and sequential mediator for the relationship between celebrity endorsement and continuance of use behaviour. Contributions enrich the literature related to non-halal certified contexts.