A large number of consumers in Malaysia are resistant towards new technology and prefer instead the tried and tested way of doing things. It is worth examining if local consumers are in fact ready to digitize and accept technology in their day-to-day dealings. A behavioral study was developed to gauge the digital maturity and tech preparedness of Malaysian consumers with regards to loyalty and how this will reflect an individual’s predisposition in his or her ability and eventual use of a new technology. This study latched on to the concept of tech preparedness. A conceptual framework was developed after reviewing existing scholarly literature. This was then tested through a survey using a convenience sample from 383 SME consumers in the country. This study also looked at the difference in tech preparedness among gender, age and level of education. During the Investigation regarding Industry 4.0, it was noticed that there are few studies dealing with this segment of companies in Malaysia. In addition in team of this research about customer perspective the amount of studies become more less and also because of the Shortage of the necessary skills, talents and knowledge for adopting Industry 4.0, the number Malaysian company ready to move or already move to industry 4.0 is quit few and it seems to cause less experience using new technology among Malaysian customers.

Employees’ loyalty is essential for improving the organization’s performance, thus aiding sustainable economic growth. The study examines the relationship between employee loyalty, organizational performance, and economic sustainability in Malaysian organizations. The results indicate a robust positive correlation between organizational performance and employee loyalty, suggesting loyalty drives productivity, profitability, and operational efficiency. Additionally, the study highlights organizational performance as a mediator that connects loyalty to aggregate-level economic consequences, such as resilience and adaptability under volatile market conditions. The research emphasizes the role of leadership, company culture, and work environments that support cultivating loyalty. It also highlights how loyal employees can be a cornerstone of innovation and corporate social responsibility, which aligns with Malaysia’s sustainable development agenda. By addressing this, organizations are encouraged to adopt measures that can foster loyalty and ensure long-term economic sustainability, including employee engagement initiatives, talent management, and recognition systems. Research to come should investigate longitudinal dynamics, cross-cultural comparisons, and sector-specific factors to cement a better base of understanding about the impact of employee loyalty on organizational and economic outcomes.

The study investigates the impact of artificial intelligence (AI)-powered chatbots on brand dynamics within the banking sector, focusing on the interrelationships between AI implementation and key brand dimensions, including awareness, equity, image, and loyalty. Using structural equation modeling (SEM) analysis on data collected from 520 banking customers, the study tests eight hypotheses to explore the direct and indirect effects of AI-driven interactions on brand development. The findings reveal that AI chatbots significantly enhance brand awareness in banking services, demonstrating moderate positive effects on both brand equity and brand image. Notably, while brand awareness exerts a strong influence on brand image, it does not have a significant direct effect on brand loyalty. Instead, the study shows that brand loyalty is primarily developed through the mediating effects of brand equity and image, with brand image exerting a particularly strong influence on brand equity. For banking practitioners, these insights suggest a need to integrate AI chatbots within a comprehensive brand strategy that merges technological innovation with traditional relationship-building approaches. Limitations of the study and potential directions for future research are also discussed, providing avenues for further exploration of AI’s role in brand management.

This study investigates the influence of service quality, destination facilities, destination image, and tourist satisfaction on tourist loyalty in the Pasar Lama Chinatown area of Tangerang City. Utilizing data from 400 respondents, the study employed structured questionnaires analyzed through descriptive statistics, reliability analysis, exploratory and confirmatory factor analysis, and structural equation modeling (SEM). The results reveal that service quality (β = 0.47, p < 0.001), destination facilities (β = 0.33, p < 0.001), and destination image (β = 0.4, p < 0.001) all significantly enhance tourist satisfaction, which in turn has a strong positive effect on loyalty (β = 0.58, p < 0.001). Direct paths also show that service quality, destination facilities, and destination image independently contribute to tourist loyalty. Bootstrapping confirms satisfaction’s mediating role between these factors and loyalty. Practical recommendations suggest prioritizing service quality improvements, facility enhancements, and a positive destination image to foster loyalty and promote tourism sustainability in Pasar Lama, China. These insights assist tourism managers in developing strategies to enhance long-term visitor retention and engagement in the area.

Background: Kangyang tourism, a wellness tourism niche in China, integrates health preservation with tourism through natural and cultural resources. Despite a growing interest in Kangyang tourism, the factors driving tourist loyalty in this sector are underexplored. Methods: Using a sample of 413 tourists, this study employed Covariance-Based Structural Equation Modeling (CB-SEM) to examine the influence of destination image, service quality, tourist satisfaction, and affective commitment on tourist loyalty. Results: The findings reveal that destination image and service quality positively affect tourist satisfaction, affective commitment, and loyalty. Tourist satisfaction and affective commitment are identified as critical drivers of tourist loyalty. Notably, affective commitment plays a stronger role in fostering loyalty compared to satisfaction. Conclusion: These results highlight the importance of a positive destination image and high service quality in enhancing tourist loyalty through increased emotional and psychological attachment. The findings inform strategies for stakeholders to improve Kangyang tourism’s growth by focusing on emotionally engaging experiences and service excellence.

This study aims to examine the pathways through which the user experience (UX) of ChatGPT, a representative of generative artificial intelligence, affects user loyalty. Additionally, it seeks to verify whether ChatGPT’s UX varies according to a user’s need for cognition (NFC). This research proposed and examined how ChatGPT’ UX affect user engagement and loyalty and used mediation analysis using PROCESS Macro Model 6 to test the impact of UX on web-based ChatGPT loyalty. Data were collected by an online marketing research company. 200 respondents were selected from a panel of individuals who had used ChatGPT within the previous month. Prior to the survey, the study objective was explained to the respondents, who were instructed to answer questions based on their experiences with ChatGPT during the previous month. The usefulness of ChatGPT was found to have a significant impact on interactivity, engagement, and intention to reuse. Second, it was revealed that evaluations of ChatGPT may vary according to users’ cognitive needs. Users with a high NFC, who seek to solve complex problems and pursue new experiences, perceived ChatGPT’s usefulness, interactivity, engagement, and reuse intentions more positively than those with a lower NFC. These results have several academic implications. First, this study validated the role of the UX in ChatGPT. Second, it validated the role of users’ need for cognition levels in their experience with ChatGPT.