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This study investigates factors leading to customers' continuous intention to use self-service kiosks (SSK) in quick-service restaurants based on the proposed main underlying theory, the extended technology acceptance model (TAM2). This study examines variables originating from TAM2 comprising perceived usefulness, perceived ease of use, attitude, subjective norm, and intention, and added potential factors by extending the TAM2 model with included perceived enjoyment and nutrition information menu. The questionnaire was developed and distributed via the online platform. Partial least square structural equation modelling (PLS-SEM) was used to analyse the data collected from 180 respondents aged 18 and older living in Penang, Malaysia, with experience using SSK in quick-service restaurants. Results showed that both attitude and perceived enjoyment significantly influenced customers' continuous intention to use SSK in restaurants. Perceived usefulness, perceived ease of use, and nutrition information menu positively and indirectly affected continuous intention through attitude as a mediator variable. However, the subjective norm was found not significant concerning continuous intention. The data collected from individuals living in Penang only limits the generalizability of the results of this study. This study extends the understanding of customers' continuous intention to use restaurant SSK by establishing a model from customers' perspectives. Moreover, the effects of nutrition information menu and attitude were examined in this study to test the relationship with customer intention to continue using SSK, which has little literature from past research. The findings of this study provide guidelines for restaurant practitioners to incorporate SSK into their restaurants better, boost marketing strategies, and gain competitive advantages. [ABSTRACT FROM AUTHOR]

This study aims to analyse the characteristics of influencers' credibility in social media marketing which may affect the purchase intention of IT products from the millennials' perspective in Malaysia. This study utilised and integrated source credibility model to examine several influencer's attributes, which include attractiveness, expertise and trustworthiness that affect the credibility of social media influencers and customer purchase intention. Data were collected online from 204 millennials in Malaysia via the purposive sampling method and analysed through SmartPLS. The credibility of social media influencers had a significant impact on the audience's buying intention. Attractiveness and trustworthiness of social media influencers are also the characteristics that are significant in shaping the credibility of the influencer yet influence the audience's purchase intention as well. Credibility also has a significant mediating role in between attractiveness and trustworthiness towards the audience's purchase intention. This study's result can guide the marketer in choosing the right candidates. They have the relevant attributes and are well-matched to the brand identity and values, which can greatly affect the customer purchase intention yet to achieve the marketing campaign objective. This study used the source of credibility to study the influencing power of social media influencers towards purchasing intention of IT products, with the context of millennials in Malaysia as a target group. This study has also tested the mediating effect of influencers' credibility between millennials' purchase intention and a few influencer attributes. [ABSTRACT FROM AUTHOR]

The significance of the Industry 4.0 is bringing greater productivity growth and encourage industry players to gain competitive advantage in global market. Smart technologies help a company to improve their production performance and provide greatly capabilities for improvement. However, limited knowledge, skills and financial support has affected the development of Industry 4.0 in Malaysia. Therefore, it is necessary to raise the awareness of IR4.0 to reduce the resistance in the interim to a newly system. The purpose of this research is determine the impact of smart technologies on business performance. There are 16 kinds of smart technologies were identified from literature to determine the effect toward business performance. The management level and the assemblers in manufacturing companies were the target respondents in this research. In quantitative method, the questionnaires were distributed via online to 123 respondents and received 70 responses (56.91%). The result has showed there has a positive effect on the smart technology practices toward business performance. This research is able to develop the potential of smart technologies practices that assist in TQM practices and business performance. [ABSTRACT FROM AUTHOR]

Smart technologies can support a company to enhance their production performance and contribute greatly capabilities for improvement. Smart technologies based on Industry 4.0 can enhance greater manufacturing performance growth and encourage industry players to gain competitive advantage in global market. However, limited knowledge, skills and financial support has affected the development of smart technologies in Malaysia. Therefore, it is necessary to explore the potential of smart technologies related to IR4.0 to develop a better manufacturing system. The purpose of this research is to determine the potential of smart technologies and their extent of practices. There are five types of smart technologies were identified from literature that contributes to manufacturing performance. The management level and the assemblers in manufacturing companies were the target respondents in this research. In quantitative method, the questionnaires were distributed via online to 123 respondents and received 70 responses with 56.91% response rate. The potential of smart technologies is medium level. The highest potential is Identification Technologies. It is followed by cloud computing and information application, wearable technologies, robotic technologies and navigation and localization technologies. The highest practice that is being practiced is cloud computing and information applications. It is followed by identification technologies, robotic technologies, navigation and localisation technologies and wearable technologies. This research is able to develop the potential of smart technologies practices that assist in improving manufacturing sector in future. [ABSTRACT FROM AUTHOR]

In the era of urbanization, a wide range of Industry 4.0 technologies has provided for total quality management (TQM) practices to ensure the consistency of customers' satisfaction and products' quality. Industry 4.0 development make a change on how TQM practices are applied in industry. However, there are still lacking in addressing the impact of Industry 4.0 on TQM practices in previous works. Hence, the aim of this paper is to identify the impact of Industry 4.0 on TQM practices in automotive industry at Malaysia. A quantitative approach has been used in this research which included descriptive analysis and correlation analysis to achieve the research objectives. The findings shows that the industry 4.0 significantly impact towards the implementation of TQM practices in automotive industry at Malaysia. It is proposed that industry 4.0 is important to improve TQM practices in automotive industry in order to increase competitiveness in global market. [ABSTRACT FROM AUTHOR]

Emotional Intelligence (EI) plays a vital role in Job Performance (JP), especially in avoiding issues such as work-related stress. This study examines the relationship between EI and JP of employees in the oil and gas industry in Malaysia. Hypotheses has been proposed based on the conceptual framework. Concurrently, self-report survey questionnaires were distributed through an online platform to test the significance between these two components, EI and Jp. Data were obtained from 103 staff with 84% feedback rate received from respondents. Data retrieved from SPSS showed there is a significant relationship between EI and JP (b = 0.819, t = 21.506, p <.001), and was supported by a significant proportion of variance in JP, R2 =.67. The results from these obtained data suggest the need to implement, emphasize and strengthen EI. In view of the fact that by increasing the EI, it can provide positive results to the JP, and as a result, beneficial to the academicians and industry practitioners. [ABSTRACT FROM AUTHOR]