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The study aims to explore factors affecting stilt construction and the possibilities of using innovative materials and construction methods to re-establish the traditional stilt structures.

The study employs a qualitative research method using an in-depth interview with selected architects to document experience and insights of the architects on the challenges and possibilities of using innovative materials and construction methods to re-establish the traditional stilt structures. Purposive sampling was used to determine the respondents for the study. Architects with experience designing stilt houses in architects' architectural practice were selected to take in the study.

Study revealed that generally architects are keen on using stilt structures. Building materials and costs associated with designing and constructing stilt structures were identified as the key challenges. However, architects suggest using recycled building materials as possible solutions to encourage the construction of stilt structures in Malaysia. The architects also preferred to use hybridized recycled materials for stilt structures as hybridized materials have improved structural properties and functions. Additionally, the study identified “psychological hesitation” or “accessibility” as a factor affecting the construction of stilt buildings.

Throughout this study, some limitations have been dealt with. The first is the limitation of sample size. Contemporary stilt architecture is not very common in Malaysia today, and not many architects have experience in designing stilt houses. Although the method of purposive sampling was used, a larger sample size could have generated a more diverse result. The second limitation is the dearth of research on contemporary stilt houses in Malaysia. As stilt construction is uncommon in Malaysia and the existing material focuses primarily on traditional Malay houses, this has been one of the major challenges. Finally, most of the literature on stilt construction is from Southeast Asia, limited or insufficient studies and literature on local stilt construction would have a greater benefit to the study.

The outcomes from this study would benefit the scholars who have an interest in exploring stilts construction in contemporary architecture as well as innovative construction materials and construction methods. As the study brings forth the challenges and possibilities of restoring the traditional stilt constructions, the study can be used as a reference by designers to garner a deeper understanding of the traditional stilt construction and encourage designers to focus on possible innovations for stilt construction from the aspects of materials and methods in ensuring the traditional element is present in future design and construction.

The study is a response to an obvious dearth body of knowledge in stilt construction in the Malaysian context. The study identifies the key challenges and possible and practical solutions. The findings of this study represent a scholastic effort that can be used as a reference by academics and scholars.

This study employs advanced modelling to assess the effectiveness of Malaysia’s current energy policies in achieving a low-carbon future. By optimising a 100% renewable energy mix, including energy storage, the research identifies pathways to decarbonise the power sector while minimising costs. These findings will inform the development of future policies.

This study employs the Stockholm Environment Institute-developed Low Emissions Analysis Platform (LEAP) and Next Energy Modeling system for Optimization (NEMO) to construct and optimise a comprehensive Malaysian power sector model. The model encompasses both electricity supply, including diverse electricity generation sources and demand across key sectors. Three scenarios – existing policy, optimised existing policy and more ambitious policy (near-zero emissions) – are analysed.

Solar photovoltaic (PV) is the dominant technology, but realising its full potential requires significant grid upgrades. While natural gas expansion underpins Malaysia’s decarbonisation strategy, solar and storage offer a cleaner and potentially cost-effective alternative. Rapid technological advancements in clean energy increase stranded asset risk for new gas power plants. Malaysia’s abundant bioenergy resources need more tapping. This can contribute to decarbonisation and rural development. Transitioning to a fully renewable grid necessitates substantial investments in energy storage and grid infrastructure. While falling battery costs and regional interconnection can mitigate costs, careful consideration of potential disruptions and cost fluctuations is essential for resilience.

Energy sector modelling results are inherently dependent on input assumptions, such as future technology costs, resource availability and fossil fuel prices. These factors can be highly uncertain. While this study did not conduct sensitivity analyses to explore how variations in these assumptions might affect the results (e.g. cost variations across scenarios, technology mix fluctuations), the core findings provide valuable insights into potential decarbonisation pathways for Malaysia’s power sector. Future studies could build upon this work by incorporating sensitivity analyses to provide a more comprehensive understanding of how key results might change under a wider range of future possibilities.

This study co-optimises a 100% renewable energy mix for Malaysia, incorporating a comprehensive range of renewable resources, battery and pumped hydro storage. The research also provides a unique perspective on the interplay of philosophical underpinnings, psychological maturity and energy policy.

The aim of this paper is to examine the effects of a learner’s regulatory focus orientation and message frame of a motivational virtual agent in an e-learning environment.

On the basis of quasi-experimental design, university sophomores (n = 210) categorized as chronic promotion-focus, chronic prevention-focus or neutral regulatory focus interacted with either an agent that conveyed gain-frame message or an agent that conveyed loss-frame message to persuade learners to engage with the e-learning content. Statistical analyses assessed the effects of regulatory focus and message frame on agent perception, motivation and cognitive load.

The results of this paper did not support the hypotheses that chronic promotion-focus learners will benefit more with gain-frame agent than a loss-frame agent, and that chronic prevention-focus learners will benefit more with loss-frame agent than a gain-frame agent. There were main effects of message frame (albeit small effects) – the loss-frame agent was perceived to be more engaging, induced higher motivation and prompted higher germane load than the gain-frame agent. With gain-frame agent, chronic promotion-focus learners had higher motivation toward the e-learning task than other learners.

Prior studies have examined regulatory focus and message frame with agents simulating virtual health advocates. This paper extended on this by examining these roles with a persuasive agent simulating virtual tutor in an e-learning environment.

Anthropomorphism in Artificial Intelligence (AI)-powered devices is being used increasingly frequently in consumer-facing situations (e.g., AI Assistants such as Alexa, virtual agents in websites, call/chat bots, etc.), and therefore, it is essential to understand anthropomorphism in AI both to understand consequences for consumers and to optimize firms' product development and marketing. Extant literature is fragmented across several domains and is limited in the marketing domain. In this review, we aim to bring together the insights from different fields and develop a parsimonious conceptual framework to guide future research in fields of marketing and consumer behavior.

We conduct a review of empirical articles published until November 2021 in Financial Times Top 50 (FT50) journals as well as in 41 additional journals selected across several disciplinary domains: computer science, robotics, psychology, marketing, and consumer behavior.

Based on literature review and synthesis, we propose a three-step guiding framework for future research and practice on AI anthropomorphism.

Our proposed conceptual framework informs marketing and consumer behavior domains with findings accumulated in other research domains, offers important directions for future research, and provides a parsimonious guide for marketing managers to optimally utilize anthropomorphism in AI to the benefit of both firms and consumers.

We contribute to the emerging literature on anthropomorphism in AI in three ways. First, we expedite the information flow between disciplines by integrating insights from different fields of inquiry. Second, based on our synthesis of literature, we offer a conceptual framework to organize the outcomes of AI anthropomorphism in a tidy and concise manner. Third, based on our review and conceptual framework, we offer key directions to guide future research endeavors.

The purpose of this paper is to give a review on the newest developments of high-performance finite element methods (FEMs), and exhibit the recent contributions achieved by the authors’ group, especially showing some breakthroughs against inherent difficulties existing in the traditional FEM for a long time.

Three kinds of new FEMs are emphasized and introduced, including the hybrid stress-function element method, the hybrid displacement-function element method for Mindlin–Reissner plate and the improved unsymmetric FEM. The distinguished feature of these three methods is that they all apply the fundamental analytical solutions of elasticity expressed in different coordinates as their trial functions.

The new FEMs show advantages from both analytical and numerical approaches. All the models exhibit outstanding capacity for resisting various severe mesh distortions, and even perform well when other models cannot work. Some difficulties in the history of FEM are also broken through, such as the limitations defined by MacNeal’s theorem and the edge-effect problems of Mindlin–Reissner plate.

These contributions possess high value for solving the difficulties in engineering computations, and promote the progress of FEM.

The purpose of this paper is to present a general formulation of the quadrature element method (QEM). The method is then used to investigate the free vibration of functionally graded (FG) beams with general boundary conditions and different variations of material properties.

The quadrature elements with arbitrary number of nodes and nodal distributions are established on the basis of two types of FG Timoshenko beam theories. One called TBT-1 takes the cross-sectional rotation as the unknown function and the other called TBT-2 uses the transverse shear strain as the unknown function. Explicit formulas are provided via the help of the differential quadrature (DQ) rule and thus the elements can be implemented adaptively with ease.

The suitability and computational efficiency of the proposed quadrature elements for the vibration analysis of FG beams are demonstrated. The convergence rate of the proposed method is high. The elements are shear-locking free and can yield accurate solutions with a small number of nodes for both thin and moderately thick beams. The performance of the element based on TBT-1 is better than the one based on TBT-2.

The present QEM is different from the existing one which exclusively uses Gauss–Lobatto–Legendre (GLL) nodes and GLL quadrature and thus is more general. The element nodes can be either the same or different from the integration points, making the selection of element nodes more flexible. Presented data are accurate and may be a reference for other researchers to develop new numerical methods. The QEM may be also useful in multi-scale modeling and in the analysis of civil infrastructures.

The purpose of this paper is to explore advergaming to identify how users respond to characters in terms of forming brand trust and purchase intentions. The study shows that users will tend to trust brands when characters are congruent with product type and trust propensity.

In a 2×2×2 factorial design, the character presence/absence condition and product type (high vs low involvement) are between-subject, manipulated and dichotomous variables. Trust propensity is a measured, continuous variable.

Findings indicate that character presence contributes to brand trust, leading to higher purchase intentions. Character presence is more effective for promoting products of low involvement; character absence is more effective for promoting products of high involvement. Moreover, in the low-involvement product condition, consumers who have low-trust propensity are more persuaded by characters. In the high-involvement product condition, consumers who have high or low-trust propensity respond similarly to both character presence and absence.

Although characters potentially affect how gamers react to online gaming, surprisingly few studies have attempted to identify how the characters and their interactions influence consumers’ emotions and behaviors in advergaming contexts. The current study fills the gap by focusing on the effects of characters and the interactions among other influences related to characters. This study makes new theoretical and practical contributions to the literature by showing that brand trust plays a mediating role and demonstrates that game characters can stimulate purchase intentions more persuasively depending on gamers’ trust propensity and involvement in the advertised products. The findings contribute to theory regarding congruency effects of game characters and the theory of brand trust.

This paper aims to provide a research agenda for knowledge management (KM) scholars interested in the sharing economy.

A total of 342 articles published between 2012 and 2021 are analysed to identify the topics examined, how the sharing economy was conceptualized, the academic disciplines of authors and the methods used.

Based on the findings, research gaps and conceptualization issues relevant to KM scholars are discussed. Collaboration opportunities and methodological challenges are also identified.

By facilitating KM scholars’ engagement with the sharing economy, this paper contributes to a better understanding of this emerging phenomenon and helps uncover potential KM trends.