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The purpose of this paper is to introduce a web-based system that provides an efficient means for managing suppliers’ performance which also facilitates the leveraging of suppliers’ knowledge for the benefit of the on-going projects.

Case study approach is adopted. In total, 12 semi-structured interviews are conducted with Malaysia-based public listed construction companies to study their current practice and the requirements for the development of an information and communication technology (ICT) aided system for the purpose. Subsequently, a web-based system for managing suppliers’ performance is developed using ASP.net and MSSQL database.

Most of the case study companies are found to have low levels of ICT adoption and still resort to handling the majority of the tasks involved in the selection and management of suppliers’ performance manually. An ICT-based system that can improve the recording of important information about the suppliers, provide a function for supplier selection and facilitate the capture of useful reusable knowledge of the suppliers is needed.

The paper has shown empirically that a web-based suppliers’ performance management system eases the supplier selection process and the monitoring of suppliers’ performance. In addition, it demonstrates how such systems can be designed to capture and facilitate the leveraging of suppliers’ knowledge, and how suppliers’ knowledge contribution can be recognised as part of their performance. The system adopts a novel two-way communication model which provides the suppliers the access to their own performance records to identify room for improvements.

The purpose of this paper is to measure the long-run housing affordability of Malaysia over time for households at various income levels and to demonstrate how short- and long-run affordability measures can reach contradicting conclusions.

In this study, a long-run housing affordability index (HAI) for Malaysia was constructed for the sample period 1995 to 2014, using data from house prices and household incomes. The HAI was also modified to compute a mortgage affordability index (MAI) to account for intergenerational transfers.

The results show that households at the 25th income percentile cannot afford any of the four dwelling types in Malaysia. For households at the 40th income percentile and the median income levels, high-rise and terrace housing are affordable. However, significant downward trends in HAI and MAI are documented beginning 2009, which indicates increasing housing stress for households at or below the median income. The short-run affordability measure represented by the median multiple (MM) indicator showed bleaker conclusion for housing affordability, with all dwelling types considered unaffordable over the entire sample period

On the basis of the empirical results, this paper provided several long-term proposals to ameliorate the housing affordability problem in Malaysia.

With the MM ratio being the official affordability measure reported for Malaysia, this study introduces the nation’s first long-run housing affordability measure. It is hoped that this long-run measure will achieve widespread adoption in Malaysia. Given the deteriorating long-term affordability, this study offers several possible long-term solutions.

The purpose of this study is to use a lifetime income measure to evaluate the long-run housing affordability for an understudied cohort of households in the literature – the millennials. The authors do this in the context of Malaysia, measuring long-run affordability for four housing types across geographic locations and income distributions.

This study calculates a long-run housing affordability index (HAI) using data on house prices and household incomes. Essentially a ratio of predicted lifetime incomes to house prices, the HAI is computed for four common housing types in Malaysia from 2005 to 2016 and for six states in the country. The HAI is also compared across four income percentiles.

The analysis reveals varying patterns of housing affordability among different states in Malaysia. Housing affordability has declined since 2010, with most housing types being unaffordable for millennial-led households with the lowest income. Housing is most affordable for those in the highest income bracket, although even here, there are pockets of unaffordable housing as well.

Based on the findings, this study proposes three targeted interventions to improve housing affordability for Malaysian millennials.

This study fills a gap in the literature by examining the long-run housing affordability of Malaysian millennial-led households based on both geographic location and income distribution. The millennial population is understudied in the housing affordability literature, making this study a valuable contribution to the field.

Ocean exploration is of importance and in great demand throughout the world. This results in a huge challenge in tribology in the marine environment. Moreover, polymeric materials with large molecules or macromolecules play an important role in marine equipment.

The tribological performance of sea-water-eroded polyether polyurethane (PU) was systematically studied by using a multi-specimen test machine for different durations from 0 to 60 days. Surface characterization technologies, such as scanning electric microscopy energy dispersive spectroscopy, were used to analyze the PU samples.

It can be found that the COF measured against 316 steel increases with the testing load because of the change of contact areas for the original PU samples. The effect of hydrodynamic lubrication and heat resulted in the decline of the COF with the increase in testing speed. The COF of PU sample immersed for 20 days was the lowest compared with other samples. With the immersion time increased to 60 days, the COF increased first and then decreased. The reduced COF of PU resulted in improved anti-wear performance of the PU sample.

These results enhanced the comprehension of the tribological performances of PU immersed in sea-water.

The paper aims to accurately measure the key motion parameters, such as velocity, azimuth and pitch angle, of the small flying object with a non-uniform curve trajectory. It proposes a measurement method and its calculation model of non-uniform curve trajectory using a photoelectric sensor array.

First, the basic composition of the measurement system and mechanism of photoelectric sensor array are described, respectively. Second, a non-uniform curve mathematical measurement model is constructed differently from the traditional linear trajectory, taking into account the influence of gravity and air resistance. Third, the measurement error of the system is analyzed through numerical simulation. Finally, the accuracy and feasibility of the approach are verified by live-ammunition experiments.

The results show that the systematic error of the hitting point coordinates can be reduced by 9% compared to the traditional linear measurement model. Consequently, this method can meet the higher measurement requirement for the key motion parameters of the small flying object under the non-uniform curve trajectory. Research limitations/implications (if applicable)- although the approach itself is generalizable, the method is unable to detect the motion parameters of multiple small flying objects.

Although the approach itself is generalizable, the method is unable to detect the motion parameters of the multiple small flying objects.

It is evident that the proposed non-uniform curve measurement model is more precise in quantifying the essential characteristics of the small flying object, particularly in consideration of the environmental conditions.

The precise measurement of the key motion parameters of the small flying object can facilitate the enhancement of the protective performance of protective materials.

A novel approach to measurement is proposed, which differs from the conventional uniform trajectory model. To this end, the space construction of the photoelectric sensor array is optimized. The number of the sensors is revised.

The purpose of this study is to investigate the influence of additive particle size on the anti-corrosion behaviors of polyurethane (PU) coating.

The graphite (Gr) and poly-graphite (PGr) were used as large size additive and small size additive, respectively. The immersion test and electrochemical test were used to study the corrosion behaviors.

In the immersion test, the surface of the bare steel sample was corroded uniformly. However, for the steel samples with coatings, the surfaces were corroded locally. This phenomenon showed that the coating can isolate artificial sea-water and samples and then decreased the corrosion rate. Furthermore, the most severe corrosion was observed on the sample with the Gr/PU coating compared with other anti-corrosion coatings. The results of the electrochemical measurements indicated that the corrosion rate of the sample with PGr/PU coating was approximately two times lower than that of the sample with the Gr/PU coating and the sample with PGr/PU coating was hardest to be corroded.

To have a more objective and direct recognition of the particle size effect on the coating quality.

The purpose of this study is to understand the psychological mechanism that affects consumer trust by focusing on the formation and influence process of psychological contracts, and taking this opportunity, explore the influence paths of food quality, food safety and service quality on consumer trust in the online food market, and provide theoretical suggestions for building trust in food businesses' consumers.

This study is based on an empirical investigation and uses partial least square structural equation modeling for analysis. Survey data were collected online from 359 APP users of online food transaction platforms in China.

Food quality, food safety and service quality influence consumer trust through the mediating effects of relational and transactional psychological contracts. However, the differences between these influencing paths are obvious and shift with changes in the marketing channels.

This study contributes to the body of consumer trust research by exploring online food transactions as an emerging trend in China. Some optimization strategies for food quality, food safety and service quality are provided for enterprises involved in online food transactions.

This is a pioneering study revealing psychological contracts as a missing but significant mediator between consumer trust and its antecedents.

Given the maturation of the internet and virtual communities, an important emerging issue in the humanities and social sciences is how to accurately analyze the vast quantity of documents on public and social network websites. Therefore, this chapter integrates political blogs and news articles to develop a public mood dynamic prediction model for the stock market, while referencing the behavioral finance perspective and online political community characteristics. The goal of this chapter is to apply a big data and opinion mining approach to a sentiment analysis for the relationship between political status and economic development in Taiwan. The proposed model is verified using experimental datasets collected from ChinaTimes.com, cnYES.com, Yahoo stock market news, and Google stock market news, covering the period from January 1, 2016 to June 30, 2017. The empirical results indicate the accuracy rate with which the proposed model forecasts stock prices.

This paper aims to present a hybrid review combining the theory, context, characteristics and methodology (TCCM) framework and bibliometric analysis of international business research from 1991 to 2023, shedding light on the field’s growth, trends and key contributors.

Relevant papers were selected using the preferred reporting items for systematic reviews and meta-analyses model. Initially, this paper conducted a descriptive analysis to identify prolific institutions, countries and journals. Using bibliometric techniques and the TCCM framework, this paper analyzed theory, context and method visualized through word clouds and keyword co-occurrence. The characteristic aspect was analyzed using bibliographic coupling to identify major themes, providing a comprehensive understanding of the most significant factors in international business research.

The analysis of a data set comprising 5,644 documents reveals a steady increase in the annual growth rate of publications, highlighting the growing significance of international business in the global economy. First, this paper noticed a significant increase in publications in leading international business journals, with the Journal of International Business Studies being the most prolific. Second, using the TCCM framework, this paper discovered that the resource-based view, institutional theory, transaction cost theory and internalization theory are predominant in international business research. Most studies have concentrated on firm or enterprise-level entities, followed by country-level analyses. This paper also identified six main themes: (1) innovation and strategy, (2) market, (3) HR impact and leadership, (4) marketing, (5) internationalization and (6) entrepreneurship. Quantitative methods have been the most frequently used research design, followed by qualitative and mixed methods.

The study offers researchers and practitioners a roadmap for future investigations, collaboration and innovation in international business, thereby advancing the knowledge and understanding of this complex field within a globally interconnected economy.

This study provides insights into growth and trends, identifying journals, clustering research topics and enhancing theoretical and methodological understanding in the field of international business.