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The purpose of this paper is to investigate the extent to which the three constructs associated with the theory of planned behaviour (TPB) can explain student banking intentions and assist in understanding their bank satisfaction.

This research issue was investigated using a mixed methods approach, incorporating both qualitative and quantitative methods. Convenience sampling was used. Factor analysis and logistic regression were used to ascertain the relevance of the TPB in explaining student banking intentions.

Using factor analysis, perceived behavioural control was shown to be the key determinant in explaining student banking intentions. Using a logistic regression, the TPB was shown to have strong application in predicting customer satisfaction with all three of its constructs significant, but weaker application for predicting the likelihood of a bank switch, with subjective norms and attitude significant, and even less for the likelihood of recommending the bank to a friend, with only perceived behavioural control significant.

The use of an online survey which limits the pool of respondents to internet users, together with the sample size, limit the generalisability of findings.

Banks can better target and understand the drivers that influence both student banking intentions and customer satisfaction. This knowledge will allow banks to better attract and retain student customers.

Provides insight to and a better understanding of how the TPB can explain and predict student banking intentions. This study fills a gap in the literature by concentrating on student banking behaviour in Australia, a substantial segment of bank customers that has received little research.

Well-designed and implemented working capital management (WCM) will encourage positive returns for a business and establish the firm’s value, while ineffective management will undoubtedly lead to failure of the enterprise. The paper aims to discuss these issues.

In business, fixed capital and working capital are the two main forms of capital used. The current assets used in the business as working capital for day-to-day operations include raw materials, work in progress, finished goods, bills receivable, cash and bank balance. This paper analyses the relationship between WCM and profitability in Vietnamese small- and medium-sized enterprises (SMEs) after integration into the global economy.

The results suggest that SME owner-managers can increase their firm’s profitability by reducing the number of days of accounts receivable, accounts inventories and accounts payable to an optimal minimum. In addition, a robustness check of this study indicates that high profitability will be achieved, with an optimal level of working capital investment in accounts inventories, accounts receivable and accounts payable.

No work of this sort has been applied to Vietnamese circumstances. It is also rare in SE Asia more generally.

This paper aims to construct a model procedure to mitigate housing glut by using both qualitative and quantitative approach. The model applied in the Malaysian context analyzes the following: information contained in media articles and reports issued by Bank Negara Malaysia (BNM) on the housing market to extract the true picture of the housing glut issue; the relative impact (effectiveness) of housing affordability, housing prices and economic growth in influencing housing glut, and how it can be overcome so that appropriate preferential policies can be taken to mitigate the problem.

This study uses quarterly data from 2000 to 2017 to conduct economic analysis, economic theory analysis and cointegrating regression, whereas information from media-published housing articles and reports issued by BNM are examined and interpreted to draw the true picture of housing glut.

The results obtained from quantitative analysis show that housing affordability exerts very mild relative effect (0.0097) negatively on housing glut, whereas economic growth and housing price produce a relatively mild positive impact of (0.020) and (0.022), respectively, conflicting to the common consensus that the two factors have a significant effect on housing glut. Qualitatively, the results of this study show that housing glut seems to be relatively larger for affordable housing, which is contrary to the quantitative results, pointing to the existence of other influencing factors.

There is an imperative need for a third-party survey to gain a comprehensive understanding of the market conditions and buyers’ sentiment and preference.

This study compares both quantitative and qualitative results with expected housing market movements and responses based on conventional wisdom.

This paper aims to review the potential application of surface plasmon resonance (SPR) in diagnosis of dengue virus (DENV-2) E-protein and the development of SPR to become an alternative DENV sensor.

In this review, the existing standard laboratory techniques to diagnosis of DENV are discussed, together with their drawbacks. To overcome these drawbacks, SPR has been aimed to be a valuable optical biosensor for identification of antibodies to the DENV antigen. The review also includes the future studies on three-dimensional poly(amidoamine) (PAMAM) dendrimer-surface-assembled monolayer (SAM)-Au multilayer thin films, which are envisaged to have high potential sensitive and selective detection ability toward target E-proteins.

Application of SPR in diagnosis of DENV emerged over recent years. A wide range of immobilized biorecognition molecules have been developed to combine with SPR as an effective sensor. The detection limit, sensitivity and selectivity of SPR sensing in DENV have been enhanced from time to time, until the present.

The main purpose of this review is to provide authors with up-to-date and useful information on sensing DENV using SPR and to introduce a novel three-dimensional PAMAM-SAM-Au multilayer thin films for future research on SPR sensing applications.

Soft robotics is currently a rapidly growing new field of robotics whereby the robots are fundamentally soft and elastically deformable. Fabrication of soft robots is currently challenging and highly time- and labor-intensive. Recent advancements in three-dimensional (3D) printing of soft materials and multi-materials have become the key to enable direct manufacturing of soft robots with sophisticated designs and functions. Hence, this paper aims to review the current 3D printing processes and materials for soft robotics applications, as well as the potentials of 3D printing technologies on 3D printed soft robotics.

The paper reviews the polymer 3D printing techniques and materials that have been used for the development of soft robotics. Current challenges to adopting 3D printing for soft robotics are also discussed. Next, the potentials of 3D printing technologies and the future outlooks of 3D printed soft robotics are presented.

This paper reviews five different 3D printing techniques and commonly used materials. The advantages and disadvantages of each technique for the soft robotic application are evaluated. The typical designs and geometries used by each technique are also summarized. There is an increasing trend of printing shape memory polymers, as well as multiple materials simultaneously using direct ink writing and material jetting techniques to produce robotics with varying stiffness values that range from intrinsically soft and highly compliant to rigid polymers. Although the recent work is done is still limited to experimentation and prototyping of 3D printed soft robotics, additive manufacturing could ultimately be used for the end-use and production of soft robotics.

The paper provides the current trend of how 3D printing techniques and materials are used particularly in the soft robotics application. The potentials of 3D printing technology on the soft robotic applications and the future outlooks of 3D printed soft robotics are also presented.

This study aims to investigate how artificial intelligence (AI)-powered smart home devices affect young consumers' requirements for convenience, support, security and monitoring, as well as their ability to advance environmental sustainability. This study also examines the variables that impact users' motivation to use AI-powered smart home devices, such as perceived value, ease of use, social presence, identity, technology security and the moderating impact of trust.

The responses from residents of Sarawak, Malaysia, were collected through online questionnaires. This study aimed to examine the perceptions of millennials and zillennials towards their trust and adoption of AI-powered devices. This study used a quantitative approach, and the relationships among the study constructs were analysed using partial least squares - structural equation modelling.

The present study found that perceived usefulness, ease of use and social presence were the main motivators among actual and potential users of smart home devices, especially in determining their intentions to use and actual usage. Additionally, there was a moderating effect of trust on the relationship between perceived ease of use, social presence, social identity and intention to use AI-powered devices in smart homes.

To the best of the authors’ knowledge, this is one of the first studies to examine the factors influencing smart technology adoption. This study provided meaningful insights on the development of strategies for the key stakeholders to enhance the adoption and usage of AI-powered smart home devices in Sarawak, one of the promising Borneo states. Additionally, this study contributed to the growing body of knowledge on the associations between technology acceptance model dimensions, intention and actual usage of smart technology, with the moderating impact of trust.

In recent years, the traditional pastries industry has gained popularity among tourists due to the advantage of the pastries location at UNESCO Heritage city, Penang. However, the little research focussed on this particular industry, and there is lack of evidence of the tourists' experience with the traditional pastries and how these attributes affect their revisit decision.

The study utilizes a qualitative research design to gain in-depth understanding on tourists' thought and their repurchase decision. Secondary data were collected via TripAdvisor with 68 tourists who visited the most popular three pastries shops namely, Him Heang, Ghee Hiang and Min Xiang Tai, which are later analysed using qualitative content analysis.

The findings revealed that tourists generally concerned about the service quality, value, brand image and atmospherics that could affect their repurchasing decision. Particularly, the staff service quality has been viewed as the upmost important attribute to influence the tourists' decision. Therefore, the pastries shops shall ensure that the staff who serve the tourists shall be well trained to satisfy the tourists' enquiry.

The limitation concerning the interpretation of the secondary data based on the feedbacks and comments of the tourists may derive the bias possibility. Future research might consider the large-scale primary data to extend the findings.

Limited research exists on the tourists' experience which affects the repurchasing decision in pastries industry. This study provides valuable information for pastries shops and researchers interested in this area.

Regular monitoring of bacteria, especially Escherichia coli, in wastewater is crucial to ensure the maintenance of public health. Amperometric detection proves to be a fast, sensitive and economically viable solution for E. coli enumeration. This paper reported a prototype amperometric sensor based on PANI-ZnO-NiO nanocomposite thin films prepared by sol–gel method and irradiated with gamma ray. The purpose of this study is to investigate the sensor performance of PANI-ZnO-NiO nanocomposite thin films to detect E. coli in water.

The films were varied with different compositions of ZnO and NiO by using the formula PANI-(ZnO)_1-x-(NiO)_x, with x = 0.2, 0.4, 0.6 and 0.8. PANI-ZnO-NiO nanocomposite thin films were characterized by using X-ray diffraction (XRD) and atomic force microscopy (AFM) to study the crystallinity and surface morphology of the films. The sensor performance was conducted using the current–voltage (I-V) measurement by testing the films in clean water and E. coli solution.

XRD diffractograms show the peaks of ZnO (1 0 0) and NiO (1 0 2). AFM analysis shows the surface roughness, and the grain size of PANI-ZnO-NiO thin films decreases when the concentration ratios of NiO increased. I-V curves show the difference in current flow, where the current in E. coli solution is higher than the clean water.

PANI-(ZnO)_1-x-(NiO)_x nanocomposite thin film with the highest concentration of ZnO performed the highest sensitivity among the other concentrations, which can be used to indicate the presence of E. coli bacteria in water.

Although many researchers have widely studied additive manufacturing (AM) as one of the most important industrial revolutions, few have presented a bibliometric analysis of the published studies in this area. This paper aims to evaluate AM research trends based on 4607 publications most cited from year 2010 to 2020.

The research methodology is bibliometric indicators and network analysis, including analysis based on keywords, citation analysis, productive journal, related published papers and authors indicators. Two free available software were employed VOSviewer and Bibexcel.

Keywords analysis results indicate that among the AM processes, Selective Laser Melting and Fused Deposition Modeling techniques, are the two processes ranked on top of the techniques employed and studied with 35.76% and 20.09% respectively. The citation analysis by VOSviewer software, reveals that the medical applications field and the fabrication of metal parts are the areas that interest researchers greatly. Different new research niches, as pharmaceutical industry, digital construction and food fabrication are growing topics in AM scientific works. This study reveals that journals “Materials & design”, “Advanced materials”, “Acs applied materials & interfaces”, “Additive manufacturing”, “Advanced functional materials” and “Biofabrication” are the most productive and influential in AM scientific research.

The results and conclusions of this work can be used as indicators of trends in AM research and/or as prospects for future studies in this area.

This paper aims to concentrate on recent innovations in flexible wearable sensor technology tailored for monitoring vital signals within the contexts of wearable sensors and systems developed specifically for monitoring health and fitness metrics.

In recent decades, wearable sensors for monitoring vital signals in sports and health have advanced greatly. Vital signals include electrocardiogram, electroencephalogram, electromyography, inertial data, body motions, cardiac rate and bodily fluids like blood and sweating, making them a good choice for sensing devices.

This report reviewed reputable journal articles on wearable sensors for vital signal monitoring, focusing on multimode and integrated multi-dimensional capabilities like structure, accuracy and nature of the devices, which may offer a more versatile and comprehensive solution.

The paper provides essential information on the present obstacles and challenges in this domain and provide a glimpse into the future directions of wearable sensors for the detection of these crucial signals. Importantly, it is evident that the integration of modern fabricating techniques, stretchable electronic devices, the Internet of Things and the application of artificial intelligence algorithms has significantly improved the capacity to efficiently monitor and leverage these signals for human health monitoring, including disease prediction.