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This paper aims to report a stretchable piezoresistive strain sensor array that can detect various static and dynamic stimuli, including bending, normal force, shear stress and certain range of temperature variation, through sandwiching an array of conductive blocks, made of multiwalled carbon nanotubes (MWCNTs) and polydimethylsiloxane (PDMS) composite. The strain sensor array induces localized resistance changes at different external mechanical forces, which can be potentially implemented as electronic skin.

The working principle is the piezoresistivity of the strain sensor array is based on the tunnelling resistance connection between the fillers and reformation of the percolating path when the PDMS and MWCNT composite deforms. When an external compression stimulus is exerted, the MWCNT inter-filler distance at the conductive block array reduces, resulting in the reduction of the resistance. The resistance between the conductive blocks in the array, on the other hand, increases when the strain sensor is exposed to an external stretching force. The methodology was as follows: Numerical simulation has been performed to study the pressure distribution across the sensor. This method applies two thin layers of conductive elastomer composite across a 2 × 3 conductive block array, where the former is to detect the stretchable force, whereas the latter is to detect the compression force. The fabrication of the strain sensor consists of two main stages: fabricating the conducting block array (detect compression force) and depositing two thin conductive layers (detect stretchable force).

Characterizations have been performed at the sensor pressure response: static and dynamic configuration, strain sensing and temperature sensing. Both pressure and strain sensing are studied in terms of the temporal response. The temporal response shows rapid resistance changes and returns to its original value after the external load is removed. The electrical conductivity of the prototype correlates to the temperature by showing negative temperature coefficient material behaviour with the sensitivity of −0.105 MΩ/°C.

The conductive sensor array can potentially be implemented as electronic skin due to its reaction with mechanical stimuli: compression and stretchable pressure force, strain sensing and temperature sensing.

This prototype enables various static and dynamic stimulus detections, including bending, normal force, shear stress and certain range of temperature variation, through sandwiching an array of conductive blocks, made of MWCNT and PDMS composite. Conventional design might need to integrate different microfeatures to perform the similar task, especially for dynamic force sensing.

Mobile instant messaging (MIM) apps could provide rich and instant information in employees’ communication. However, how media richness impacts MIM user loyalty is unknown. The purpose of this paper is to adopt media richness and social presence theories as theoretical foundations to address this insufficiency.

Collecting 247 responses from an online survey, the authors use structural equation modelling for data analysis and hypothesis testing.

The authors found that immediate feedback and personal focus are the main aspects of media richness that are positively related to social presence, relatedness need satisfaction and user loyalty to MIM.

This is the first study using two pertinent theories to explain how aspects of media richness affect user loyalty to MIM. The present findings suggest that firms developing MIM apps focus on immediate feedback and personal focus as effective means to encourage user loyalty.

A high-end ethnic restaurant is a tourism experience that can increase the attractiveness and brand recognition of a tourism destination. The restaurant environment is a key element that affects consumer visits. The purpose of this paper is to adopt Schmitt’s experience module to analyse tourist preferences and experiences with respect to floral styles in ethnic fine dining restaurants. The results of this study are intended to serve as a reference for operators of fine dining establishments in designing flower arrangements.

This study adopts a quantitative research method. A sample was developed using tablet computers to simulate flower arrangements in restaurants. The research tools included a floral style preference scale and a tourist floral experience scale.

Based on the results, the test subjects preferred European floral design styles in restaurants. Restaurant environments with floral arrangements were best at relaxing the test subjects. A restaurant’s floral style was positively correlated with various aspects of the tourist experience. Gender, age, Chinese flower styles, Japanese flower styles, European flower styles and other variables enabled forecasting the degree of the tourist experience.

When a consumer exhibits higher preference for a restaurant’s floral style, the level of the tourist experience increases. This study investigates the aesthetic experience of restaurants and restaurant atmosphere as a marketing tool. Sensory stimulation within the restaurant atmosphere can be based on the five senses such that tourists may, through the design of the restaurant environment, have specific emotional reactions that improve their tourist experience and reinforce the restaurant’s brand image.

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.

With an emphasis on the moderating impact of trust, this study examines determinants influencing the purchase intentions of young consumers in augmented reality (AR) shopping platforms. This research study aims to pinpoint essential elements, including the enjoyment dimensions (i.e. entertainment, visual appeal and hedonic component) and practicality dimensions [i.e. informativeness, navigation and perceived usefulness (PU)], that are imperative in influencing young consumers’ purchase intentions in AR-based shopping platforms.

The present study used a quantitative approach grounded in the stimulus-organism-response model and the extended technology acceptance model, which analysed purchase intention among the youth using AR shopping platforms. One hundred seventy-two samples were gathered through self-administered questionnaires and underwent partial least squares structural equation modelling analysis to predict the relationships between the proposed variables.

The results of the current study suggested the independent variables (e.g. entertainment, visual appeal, informativeness and navigation) had a significant impact on hedonic components and PU. Furthermore, both hedonic components and PU had a significant and positive influence on purchase intention. Nevertheless, it is noteworthy that hedonic components and PU in relation to purchase intention were not moderated by trust.

The developed research framework is significant for understanding the perceptions of shopping behaviour among young consumers in the Borneo region of Malaysia. This is one of the few studies that explored the interplay between enjoyment and practicality’s dimensions on purchase intention via AR shopping platforms in the less explored region of Malaysia. Hence, this study plays a pivotal role in contributing to the existing marketing and technology management literature. Moreover, it holds practical importance for business operators and marketers as it aids in decision-making and strategic planning for the future direction of businesses in the young consumer market.

This study examines the temporal dynamics of consumer attitudes, perceived value and purchase intentions toward green agricultural foods, addressing critical gaps in the literature on sustainable consumption behaviours. It emphasises the mediating role of perceived value and its evolution over time, offering insights into consumer decision-making processes.

A longitudinal design was adopted, collecting data through structured questionnaires from primary household food purchasers in northern Taiwan at baseline, three months and six months. Analytical techniques, including multiple regression, mediation analysis and repeated measures ANOVA, were employed to examine relationships and track changes over time.

The results reveal that consumer attitudes positively influence perceived value, which fully mediates the relationship with purchase intentions. Temporal analysis indicates significant increases in perceived value and purchase intentions over six months, demonstrating that sustained exposure to green agricultural foods reinforces consumer commitment and pro-environmental behaviours. Attitudes alone do not directly predict purchase intentions without the mediation of perceived value, highlighting the critical role of perceived benefits in driving long-term sustainable consumption.

This study provides actionable insights for enhancing the perceived value of green agricultural foods. Businesses should prioritise health and environmental benefits, while policymakers can design campaigns and incentives to promote sustainable dietary habits, aligning with Sustainable Development Goal 12.

By exploring the mediating role of perceived value in transforming positive consumer attitudes into purchase intentions, this study highlights how perceived value, shaped by health and environmental benefits, drives consumer behaviour. These findings contribute valuable insights for enhancing market appeal and supporting sustainable food marketing strategies.

As one of the tomographic imaging techniques, electrical capacitance tomography (ECT) is widely used in many industrial applications. While most ECT sensors have electrodes placed around a cylindrical chamber, the planar ECT sensor has been investigated for depth and defect detection. However, the planar ECT sensor has limited height and depth sensing capability due to its single-sided assessment with the use of only a single-plane design. The purpose of this paper is to investigate a dual-plane miniature planar 3D ECT sensor design using the 3 × 3 matrix electrode array.

The sensitivity map of dual-plane miniature planar 3D ECT sensor was analysed using 3D visualisation, the singular value decomposition and the axial resolution analysis. Then, the sensor was fabricated for performance analysis based on 3D imaging experiments.

The sensitivity map analysis showed that the dual-plane miniature planar 3D ECT sensor has enhanced the height sensing capability, and it is less ill-posed in 3D image reconstruction. The dual-plane miniature planar 3D ECT sensor showed a 28% improvement in reconstructed 3D image quality as compared to the single-plane sensor set-up.

The 3 × 3 matrix electrode array has been proposed to use only the necessary electrode pair combinations for image reconstruction. Besides, the increase in number of electrodes from the dual-plane sensor setup improved the height reconstruction of the test sample.

This study used the colours of plates as atmospheric stimulus factors in the Mehrabian–Russell model of environmental influence, which served as the study’s basic background theory, to explore how plate colour affects consumer appetite preference and dining emotions in Chinese fine dining restaurants. The paper aims to discuss this issue.

The study used quantitative surveys and employed purposeful sampling and rolling snowball surveys of consumers in Chinese fine dining restaurants in Taipei; 581 effective surveys were collected from the test subjects. The research tools included a plate colour appetite preference scale and a dining emotion scale.

There were significant differences in age and gender in terms of appetite preference and plate colour. The plate colours with the highest appetite preference were gold, white and black. There were significant differences in plate colour appetite preference in terms of dining mood, with white and gold plates eliciting positive dining moods.

Most academic papers have focused on studying plates in Western dining, while very few studies have focused on the colour of Chinese dining plates. The greatest contribution and value of this study is its discovery of the colour combination of dining plates that can elicit appetite preferences and positive dining emotions among diners in Chinese fine dining restaurants. This information can be used to stimulate positive dining emotions among consumers and help restaurateurs improve the level of dining aesthetics.

Using the theoretical lens of social capital, this paper provides insight into senior public relations (PR) professionals’ views on and attitudes towards digital communication in Singapore and Perth, Western Australia, and explores the fundamental question of PR purpose.

Drawing on Bourdieu’s theory of practice and in particular his notion of social capital, this exploratory study is based on the critical analysis of 31 semi-structured interviews with senior PR professionals in Singapore and Perth, Western Australia.

PR professionals concur with assumptions made in the extant literature regarding the potential of digital media for PR, despite broad agreement that the fundamentals of good communication have not changed. At its core PR is about counselling, relationships and the building of social capital. Hence, digital tools and platforms are typically being referred to as merely an extension of the PR toolkit. However, as illustrated within the context of influencer engagement, PR has increasingly adopted advertising-led models and has moved away from its core business of developing strategic relationships and goodwill, hence contributing to the convergence of previously distinct communication functions.

This paper is believed to be one of the first to look at the theory of social capital related to PR within a digital context. Further, it takes a holistic view of PR professionals’ views on working with digital media in two geographical locations that have been under-represented in scholarly work in the field of PR. While much of the extant literature has focussed on the benefits of social media for PR, this paper takes a critical look at current challenges, including the rise of social media influencers. The paper contributes to theory relevant to social capital as it looks at the convergence of the professions relevant to digital disruption and argues for PR claiming its distinctive attributes.

Numerous smog events have occurred in recent years in China. Their hazards in mining and industrial cities are more serious than clear days. The samples were collected in the mining and industrial city of Handan. During the smog episode, PM₁₀ and PM_2.5 concentrations reach up to 980 μg/m³ and 660 μg/m³, respectively. Under SEM (scanning electron microscope) analysis, the particles consist of soot, fly ash and minerals, which could be from coal mines, power plants, steel mills and auto exhausts. Compared with the samples collected on a clear day, the increased PM₁₀ particles are mainly composed of organic matter, especially aromatic compounds. The Pb content in PM₁₀ of the smog day reaches 507.4 ng/m³ and could be caused by vehicle emissions.