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Corruption continues to be a pervasive stain on the construction industry in developing countries worldwide, jeopardising project performance and with wide-ranging negative implications for all facets of society. As such, this study aims to identify and analyse the causes of corruption in the construction sector of an emerging economy such as Malaysia, as it is crucial to uncover the specific facilitating factors involved to devise effective counter strategies.

Following a detailed literature review, 18 causes of corruption are identified. The results of an opinion survey within the Malaysian construction industry are further reported to rank and analyse the causes. The factor analysis technique is then applied to uncover the principal factors involved.

The results indicate that all the considered causes are perceived to be significant, with the most critical causes being avarice, relationships between parties, lack of ethical standards, an intense competitive nature and the involvement of a large amount of money. A factor analysis reveals four major causal dimensions of these causes, comprising the unique nature of the construction industry and the extensive competition involved; unscrupulous leadership, culture and corruption perception; a flawed legal system and lack of accountability; and ineffective enforcement and an inefficient official bureaucracy.

The study presents the Malaysian construction industry’s view of the causes of corruption. Therefore, the arguments made in the study are influenced by the social, economic and cultural settings of Malaysia, which may limit generalisation of the findings.

This paper helps stakeholders understand the root causes and underlying dimensions of corruption in the construction industry, especially in Malaysia. Recommendations for changing cultures that may be conducive to corrupt practices, and anti-corruption measures, are suggested based on the findings of the research.

These findings can guide practitioners and researchers in addressing the impediments that give rise to the vulnerability of the construction industry to corrupt practices and understanding the “red flags” in project delivery.

This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic, targeting the general population worldwide.

A systematic review approach was adopted based on PRISMA, targeting articles published in five databases from January 2020 to November 2021. The screening resulted in 46 eligible papers.

Results indicate low level of awareness, knowledge, media/health literacy, low trust in science/scientists and entertainment/socialization to be the main motivating drivers for fake news dissemination, whereas the phenomenon is more prominent among those with low socio-economic status, and males. Negative impacts were reported due to fake news dissemination, especially violation to precautionary measures, negative affections, and low trust in government/news, with many believing that others are more susceptible to fake news than themselves.

Considering the pandemic is still on-going and the deleterious consequences of fake news, there is a need for cohort-based interventions from the concerned authorities.

The systematic review covers a wide timeline of 23 months (i.e. up to end of 2022) targeting five well-known databases, hence articles examined are deemed extensive and comprehensive. The review specifically focused on the general population with results revealing interesting motives, sociodemographic profiles, attitude and impact of this phenomenon during the COVID-19 pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0082.

As technology-created gamers’ representations, avatars are influential in communication among online gamers. However, there is scant research on how avatars’ characteristics impact gamers’ friendly behaviour via avatars, i.e., avatar friendliness, and how avatar friendliness is related to online gamer loyalty. The purpose of this paper is to develop a research model grounded in the theory of embodied cognition to examine the impacts of perceived avatar appearance agreeableness, attractiveness and height on avatar friendliness and online gamer loyalty.

The authors collect 1,384 responses from online gamers and use structural equation modelling for hypothesis testing.

The authors find that perceived avatar appearance agreeableness and attractiveness are positively related to avatar friendliness, while perceived avatar height is negatively related to avatar friendliness. Avatar friendliness, in turn, is positively related to online gamer loyalty.

This study assessed gamers’ perceptions using a cross-sectional design. Future works could use a big data approach to collect behavioural and longitudinal data. Moreover, future works could measure avatar height using pixels.

The authors contribute to the e-commerce literature by inventing the new constructs of perceived avatar appearance agreeableness and avatar friendliness, and conducting the first study of using avatar friendliness to explain the impacts of the three avatar characteristics on online gamer loyalty. The findings also provide novel insights for e-commerce managers to effectively build a loyal gamer base.

This study aims to propose a safety marketing stimuli-response model to explain passengers’ safety behavior in the ferry services context.

Structural equation modeling was conducted to examine the impact of safety marketing stimuli on passengers’ safety awareness and behavior by using data obtained from a survey of 316 ferry passengers in Hong Kong.

The authors found that passengers’ perceptions of ferry safety marketing stimuli positively affected their safety awareness and safety awareness positively affected passengers’ safety behaviors. Specifically, they found that safety awareness played a mediating role in the relationship between ferry safety marketing stimuli and passengers’ safety behaviors.

The empirically validated scales can be adapted to practices of safety marketing, while providing helpful information for ferry operators to evaluate their efforts of safety marketing and implications for improvement.

According to the authors' knowledge, this study is one of the first attempts to fill this research gap by empirically validating and theoretically conceptualizing measures of safety marketing stimuli based on the marketing stimulus-response model.

The design process of a bio-model involves multiple factors including data acquisition technique, material requirement, resolution of the printing technique, cost-effectiveness of the printing process and end-use requirements. This paper aims to compare and highlight the effects of these design factors on the printing outcome of bio-models.

Different data sources including engineering drawing, computed tomography (CT), and optical coherence tomography (OCT) were converted to a printable data format. Three different bio-models, namely, an ophthalmic model, a retina model and a distal tibia model, were printed using two different techniques, namely, PolyJet and fused deposition modelling. The process flow and 3D printed models were analysed.

The data acquisition and 3D printing process affect the overall printing resolution. The design process flows using different data sources were established and the bio-models were printed successfully.

Data acquisition techniques contained inherent noise data and resulted in inaccuracies during data conversion.

This work showed that the data acquisition and conversion technique had a significant effect on the quality of the bio-model blueprint and subsequently the printing outcome. In addition, important design factors of bio-models were highlighted such as material requirement and the cost-effectiveness of the printing technique. This paper provides a systematic discussion for future development of an engineering design process in three-dimensional (3D) printed bio-models.

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

Focusing on the social influence processes in the context of massively multiplayer online role-playing games (MMORPGs), this study aims to investigate the nomological network of social influence factors, a topic seldom explicitly articulated in the literature in this unique context.

This study adopts a mixed-methods approach to develop and test a context-specific model of social influence processes in MMORPGs. First, the authors conducted qualitative interviews with MMORPG players to identify the drivers shaping players' perceptions of social influences. Second, the authors formulated and tested a research model with quantitative data collected from 450 respondents of an online survey.

Through the qualitative study, the authors identify leader enthusiasm, social support and social presence as the critical drivers of social influence factors. The result of the quantitative study validates the influences of the critical drivers and demonstrates the impact of social influences on MMORPG players' we-intention to continue playing games.

This research extends the social influence theory by identifying contextualized drivers that shape MMORPG players' perception of social influences determining their we-intention to continue playing games. MMORPG service providers can draw on these drivers to leverage social influences to increase players' we-intention of continuance.

This study aims to evaluate social media’s communication effectiveness on travel product promotion among college students in Hong Kong. As traveling has become a popular activity, promoting travel products via social network sites (SNSs) has become common. Thus, identifying factors that affect shopping decisions is vital to tourism businesses. While the number of people using social communication tools has increased quickly, social media marketing provides a new strategy for the local travel business to sell and promote their products online.

This study adopts the attention, interest, desire and action (AIDA) marketing communication model to explore the influence of Facebook on the marketing of travel products among youngsters. Because Facebook is the most widely used social media platform in Hong Kong, it was selected for this study. An online survey was conducted via Google Form to collect responses from students of different local universities.

The findings indicate that our respondents consider purchasing travel products according to brand, discount and customer comments. They generally perceived Facebook advertising as a platform that could deliver various updated travel promotions and discounts, which can be adequately explained based on the AIDA model. However, respondents were unwilling to recommend the travel company to their friends on Facebook, even if they were satisfied with the travel products after purchase. Also, Facebook promotion could positively influence, draw the attention and make travel desire of the customer, but no positive influence to arouse their interest.

Although there are many studies on the travel industry’s marketing and social media, scant studies have investigated the influence of social media on the promotion of travel products with the AIDA model. In particular, it is crucial to explore what factors can affect young people’s decision-making, their perception of social media advertising and how marketers can make good use of this channel.