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A simple and efficient method for the finite‐element solution of three‐dimensional unbounded region field problems is presented in this paper. The proposed technique consists of a global mapping of the original unbounded region onto a bounded domain by applying a standard inversion transformation to the spatial coordinates. Same numerical values of the potential function are assigned to the transformed points. The functional associated to the field problem, which incorporates the boundary conditions, has the same structure in the transformed domain as that in the original one. This allows the implementation of the standard finite‐element method in the bounded transformed domain. The finite‐element solution is obtained on the basis of a complete discretization of the bounded, transformed domain by standard finite elements, with no approximate assumption made for the behaviour of the field at infinity, other than that introduced by the finite‐element idealization. This leads to improved accuracy of the numerical results, compared to those obtained in the original region, for the same number of nodes. Application to three test problems illustrates the high efficiency of the proposed method in terms of both accuracy and computational effort. The technique presented is particularly recommended for exterior‐field problems in the presence of material inhomogeneities and anisotropies.

This study aims to investigate the key determinants predicting users’ behavioural intention (BI) in adopting mobile payment (m-payment) in the new normal era.

The mobile technology acceptance model (MTAM) was extended through attitudes, perceived trust, perceived risk and personal innovativeness (PI) with government support (GS) functioning as a moderator. A total of 245 valid responses were gathered from Malaysian m-payment users with purposive sampling and subsequently evaluated through partial least square-structural equation modelling.

Mobile usefulness and PI significantly predicted user BI to use m-payment. Based on the moderation analysis, GS strengthened attitude-based impacts on BI towards m-payment adoption.

The empirical outcomes provide stakeholders with pivotal implications to develop holistic policies and strategies that potentially catalyse m-payment usage in the new normal era.

This research expands the current body of knowledge by assessing the factors impacting m-payment usage intention in the new normal era. The four aforementioned MTAM elements and GS (moderator) were recommended to boost model workability and offer novel evidence from a distinct viewpoint.

El objetivo de este estudio es investigar los determinantes clave que predicen la intención de comportamiento de los usuarios a la hora de adoptar el pago por móvil (m-payment) en la nueva era normal.

El modelo de aceptación de la tecnología móvil (MTAM) se amplió a través de las actitudes, la confianza percibida, el riesgo percibido y la capacidad de innovación personal, con el apoyo gubernamental como moderador. Se recogió un total de 245 respuestas válidas de usuarios malasios de pago por móvil mediante muestreo intencionado y se evaluó posteriormente mediante modelización de ecuaciones estructurales por mínimos cuadrados parciales (PLS-SEM).

La utilidad del móvil y la capacidad de innovación personal predijeron significativamente la intención de los usuarios de utilizar el pago por móvil. Según el análisis de moderación, el apoyo gubernamental reforzó los efectos basados en la actitud sobre la intención conductual de adoptar el pago por móvil.

Los resultados empíricos proporcionan a las partes interesadas implicaciones fundamentales para desarrollar políticas y estrategias holísticas que catalicen potencialmente el uso del pago móvil en la nueva era de la normalidad.

Esta investigación amplía el corpus actual de conocimientos al evaluar los factores que influyen en la intención de uso del pago por móvil en la nueva era normal. Se recomiendan los cuatro elementos MTAM mencionados y el apoyo gubernamental (moderador) para impulsar la viabilidad del modelo y ofrecer pruebas novedosas desde un punto de vista distinto.

本研究旨在探讨新常态时代用户使用移动支付（m-payment）行为意向的主要决定因素。

通过态度、感知信任、感知风险和个人创新能力, 并以政府支持作为调节因素, 对移动技术接受模型（MTAM）进行了扩展。通过有目的的抽样, 从马来西亚移动支付用户中收集了 245 份有效回复, 随后通过偏最小二乘法结构方程模型（PLS-SEM）进行了评估。

移动实用性和个人创新性可显著预测用户使用移动支付的行为意向。根据调节分析, 政府支持加强了态度对采用移动支付的行为意向的影响。

实证研究的结果为利益相关者提供了重要的启示, 有助于他们制定全面的政策和战略, 在新常态时代促进移动支付的使用。

本研究通过评估新常态时代影响移动支付使用意向的因素, 拓展了现有的知识体系。研究推荐了上述四个 MTAM 要素和政府支持（调节器）, 以提高模型的可操作性, 并从一个独特的视角提供了新的证据。

Generation Y (Gen Y) is the newest and largest generation entering the workforce. Gen Y may differ from previous generations in work‐related characteristics which may have recruitment and retention repercussions. Currently, limited theoretically‐based research exists regarding Gen Y's work expectations and goals in relation to undergraduate students and graduates. The aim of this paper is to attempt to address this gap in the research.

This study conducted a theoretically‐based investigation of the work expectations and goals of Generation Y and, in particular, student Gen Y versus working Gen Y individuals based within a framework incorporating both expectancy‐value and goal setting theories. n=398 provided useable data via an on‐line survey.

Overall, some support was found for predictions with career goals loading on a separate component to daily work expectations and significant differences between students and working Gen Y on career goals. No significant differences were found, however, between the two groups in daily work expectations.

Future research studies may benefit from adopting a theoretical framework which assesses both daily work expectations and career goals. At a practical level, based on the findings, some examples are provided of the means by which organisations may draw upon daily work expectations and career goals of importance to Gen Y and, in doing so, influence the likelihood that a Gen Y individual will join and remain at their particular organisation.

This research has demonstrated the utility of adopting a sound theoretical framework in furthering understanding about the motivations which influence an organisations’ ability to recruit and retain Gen Y.

The capacity of landfills will reach saturation in the 2020s. There are more than 50,000 buildings in Hong Kong over 30 years old and which may require extensive refurbishment under the Mandatory Building Scheme. Additionally, most new owners/tenants tend to renovate their premises before moving in. Hence, there is an urgent need in Hong Kong, to explore strategies and measures to enable the development of effective refurbishment and renovation (R&R) waste management for such projects. The objectives of this paper are to investigate the process of R&R for identifying the perceived barriers and thereby the strategies for minimisation and management of R&R waste in Hong Kong.

Desktop study, semi-structured interviews, site observations and document reviews were used as the data collection methods to achieve the objectives of this research. Considering the nature and characteristics of the industry structure, the snowball sampling process was deployed for data collection. Thematic analysis and content analysis were used for data analysis. Waste minimisation and management strategies for R&R projects were then discussed and developed by the research team and a focus group meeting was held to validate the research findings. Six strategies were then proposed to the government.

R&R projects contribute 10–20% of the construction and demolition waste. The barriers to recycling of R&R waste can be grouped into six major categories: (1) lack of sorting and storage spaces, (2) high cost, (3) insufficient government supporting policy, (4) complicated recycling processes, (5) immature recycling market and (6) insufficient public education. Also, six strategies are proposed in this study, which include (1) pre-refurbishment audit, (2) development of recycling market, (3) sea reclamation, (4) incineration, (5) government support and (6) education and research.

The strategies and measures proposed in this research could most adequately serve as reference for the government officials, building professionals and academic researchers. Such knowledge would make possible the development of effective strategies and measures for minimising and managing R&R waste.

In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.

Shared equity homeownership is a form of subsidised, resale-restricted housing through which lower-income households can sustain their affordability. This paper aims to distinguish two types of affordability within shared equity homeownership: “entry affordability” indicates how affordable subsidised housing is when a household first becomes a subsidised owner; while “exit affordability” means how affordable private housing is after a household has enjoyed subsidised homeownership for a period of time.

Using price-to-income ratios, this study compares the entry and exit affordability of shared equity homeownership programs in Australia, Mainland China, Hong Kong, Norway, the UK and the USA. Based on these international comparisons, this study generalises two distinct types of shared equity homeownership models, namely, the models of “share-to-buy” and “share forever”. A new model, “follow-as-you-go”, is further suggested to increase the elasticity of potential affordable housing supply by providing incentives for existing subsidised homeowners to move.

A key finding of this study is that while shared equity homeownership programs can improve entry affordability, homeowners’ exit affordability is weak when subsidised homeowners have to share their capital gain with the government. While many housing policy discussions around the world that support shared equity homeownership focus only on the improvement of entry affordability, these discussions usually ignore the importance of exit affordability. This study attempts to fill the void in the understanding of these two types of affordability.

Shared equity homeownership policy is not only about offering low-income households but also an affordable housing option. It is also about facilitating well-off subsidised homeowners to move up the housing ladder so that the affordable housing option can be freed up for others in need. In a word, it is not only entry affordability but also exit affordability that matters.

In business and management, cross-national and cross-cultural comparisons between countries have been a topic of interest for many decades. Not only do firms engage in business in different countries around the world but also within countries. The population has become more diversified over time, making cross-cultural comparisons within country boundaries increasingly relevant. In comparisons across cultural groups, measurement invariance (MI) is a prerequisite; however, in practice, MI is not always attained or even tested. Our study consists of three parts. First, we provide a bibliometric analysis of articles on cross-cultural and cross-national topics in marketing to provide insight into the connections between the articles and the main themes. Second, we code articles to assess whether researchers follow the recommended steps as outlined in the multigroup confirmatory factor analysis (MGCFA) approach. The results indicate that MI testing is incorporated in the toolbox of many empirical researchers in marketing and that articles often report the level of invariance. Yet, most studies find partial invariance, meaning that some items are not comparable across the cultural groups studied. Researchers understand that MI is required, but they often ignore noninvariant items, which may decrease the validity of cross-cultural comparisons made. Third, we analyze the dissemination of MI in the broader literature based on co-citations with Steenkamp and Baumgartner (1998), a widely cited article on MI in the field of marketing. We conclude by noting methodological developments in cross-cultural research to enable addressing noninvariance and providing suggestions to further advance our insight into cross-cultural differences and similarities.

The purpose of this study is to develop a condition assessment (CA) model for a building's indoor 21 environments and to improve the building's asset management process.

The methodology is based on dividing the building into spaces, which are the principal evaluated elements based on the building's indoor environmental quality (IEQ). An evaluation scheme was prepared for the identified factors and the analytical hierarchy process (AHP) technique was used to calculate the relative weight of each space inside the building as well as the contribution of each IEQ factors (IEQFs) in the overall environmental condition of each space inside the building. The multi-attribute utility theory (MAUT) was then applied to assess the environmental conditions of the building as a whole and its spaces. An educational building in Canada was evaluated using the developed model.

Each space type was found to have its own IEQFs weights, which confirms the hypothesis that the importance and allocation of each IEQF are dependent on the function and tasks carried out in each space. A similar indoor environmental assessment score was calculated using the developed model and the building CA conducted by the facility management team; “89%” was calculated, using K-mean clustering, for the physical and environmental conditions.

IEQ affects occupants' assessment of their quality of life (QOL). Despite the existence of IEQ evaluation models that correlate the building's IEQ and the occupants' perceived indoor assessments, some limitations have led to the necessity of developing a comprehensive model that integrates all factors and their sub-criteria in an assessment scheme that converts all the indoor environmental factors into objective metrics.

This study aims to evaluate the generation of food waste in a university and the handling efficiency of an automatic waste collection system.

The quantity of food waste generated and collected from a university canteen was surveyed. The food waste handling efficiencies using manual collection strategy and automated food waste collection system were determined by the density of food waste. Life-cycle costing analysis was done to evaluate the economic impacts of various food waste collection methods.

As compared with the manual collection approach, the automatic system can improve the food waste handling efficiency by 30% (from 0.01 to 0.007 bin kg⁻¹) and reduce the water use by 20% (from 0.512 to 0.406 L kg⁻¹); however, it also consumes 4.4 times more energy (from 0.005 to 0.027 kWh kg⁻¹). Under ideal system operation, the 10-year cost of food waste collection was significantly reduced from $3.45 kg⁻¹ in the manual collection to $1.79 kg⁻¹, and the payback period of the system collection was 1.9 years without discount.

The outcomes of this study show that an automatic food waste collection system is feasible, and it is recommended for small- and medium-sized catering facilities (e.g. canteens and food courts) to improve food waste handling efficiency. This study also provides useful reference data of automatic food waste collection systems for planning food waste management programs for catering facilities.

To the best of the authors’ knowledge, this is the first study to evaluate the waste handling efficiency, operational expenditure and life-cycle cost of a small-scale automatic food waste collection system.