Search results

The purpose of this paper is to develop a proof-of-concept (POC) Forward Collision Warning (FWC) system for the motorcyclist, which determines a potential clash based on time-to-collision and trajectory of both the detected and ego vehicle (motorcycle).

This comes in three approaches. First, time-to-collision value is to be calculated based on low-cost camera video input. Second, the trajectory of the detected vehicle is predicted based on video data in the 2 D pixel coordinate. Third, the trajectory of the ego vehicle is predicted via the lean direction of the motorcycle from a low-cost inertial measurement unit sensor.

This encompasses a comprehensive Advanced FWC system which is an amalgamation of the three approaches mentioned above. First, to predict time-to-collision, nested Kalman filter and vehicle detection is used to convert image pixel matrix to relative distance, velocity and time-to-collision data. Next, for trajectory prediction of detected vehicles, a few algorithms were compared, and it was found that long short-term memory performs the best on the data set. The last finding is that to determine the leaning direction of the ego vehicle, it is better to use lean angle measurement compared to riding pattern classification.

The value of this paper is that it provides a POC FWC system that considers time-to-collision and trajectory of both detected and ego vehicle (motorcycle).

This concept paper aims to discuss the effects of network hospitality on women empowerment in the city of Kuala Lumpur.

This paper uses a qualitative approach to analyse women engaged in Airbnb activity as hosts or guests.

Findings show new types of entrepreneurs, hospitality services, and socio-cultural expectations under this change.

The recent growth of Network Hospitality platforms such as Airbnb around the world has generated multiple impacts on urban destinations worldwide. Network hospitality is transforming the way tourism is produced and consumed. Several studies have analysed the impact of network hospitality on destinations’ accommodation and housing markets, the gentrification effects and users’ experience. However, studies on the social impacts of Airbnb in developing economies remain scarce. Network hospitality is creating entrepreneurship and mobility opportunities for women. In the case of Malaysia, there is a noticeable empowerment trend of women through network hospitality.

This study investigated how Generation Z adopted brand messages through trending topics and analysed the central and peripheral routes of information adoption. It explored the roles of informational and emotional supports in influencing information adoption through perceived information usefulness and considered the adoption of brand messages within trending topic discussions.

Drawing on the extension information adoption model, this study employed a quantitative approach by utilising covariance-based structural equation modelling to analyse 400 valid web-based questionnaire responses from Sina Microblog users among Generation Z in China.

Adopting brand messages via trending topics, with cues emphasising information quality as the central route and information credibility as the peripheral route, enhances perceived information usefulness. Notably, Generation Z can derive informational and emotional support from trending topic discussions, influencing their perceived information usefulness. This process operates independently of the dual routes of information adoption.

Marketers can leverage influencers and users’ comments to motivate Generation Z to adopt brand messages through trending topics, but this study was limited by the demographic diversity of its sample and the specific types of brands analysed. Incorporating cross-cultural comparisons, group analyses, potential moderating factors and control variables could improve the model’s generalisability.

Compared to information adoption models rooted in the organisational information exchange, the originality of this study lies in confirming that, within the context of trending topics, which blend social connections with an anonymous environment, informational and emotional supports can serve as additional cues influencing brand information adoption via perceived information usefulness.

This study employs bibliometric analysis to map the research landscape of social media trending topics during the COVID-19 pandemic. The authors aim to offer a comprehensive review of the predominant research organisations and countries, key themes and favoured research methodologies pertinent to this subject.

The authors extracted data on social media trending topics from the Web of Science Core Collection database, spanning from 2009 to 2022. A total of 1,504 publications were subjected to bibliometric analysis, utilising the VOSviewer tool. The study analytical process encompassed co-occurrence, co-authorship, citation analysis, field mapping, bibliographic coupling and co-citation analysis.

Interest in social media research, particularly on trending topics during the COVID-19 pandemic, remains high despite signs of the pandemic stabilising globally. The study predominantly addresses misinformation and public health communication, with notable focus on interactions between governments and the public. Recent studies have concentrated on analysing Twitter user data through text mining, sentiment analysis and topic modelling. The authors also identify key leading organisations, countries and journals that are central to this research area.

Diverging from the narrow focus of previous literature reviews on social media, which are often confined to particular fields or sectors, this study offers a broad view of social media's role, emphasising trending topics. The authors demonstrate a significant link between social media trends and public events, such as the COVID-19 pandemic. The paper discusses research priorities that emerged during the pandemic and outlines potential methodologies for future studies, advocating for a greater emphasis on qualitative approaches.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2023-0194.

E-learning has demonstrated its value as a powerful tool for enhancing students' educational experience. This paper uses a quantitative approach to examine the impact of students' cognitive problem-solving skills on their e-learning management ability. In addition, it investigates the parallel mediation role of student psychological motivation and peer collaboration. Moreover, the moderating role of gender was examined to identify the difference in e-learning management ability among male and female students.

Data were collected from 214 Malaysian business students using an online survey. For the analysis, the researcher utilized both SPSS and a SMART PLS software.

The results show that cognitive problem-solving skills directly impact student e-learning management. Moreover, psychological motivation and peer collaboration mediate the relationship between cognitive problem-solving and student e-learning management. The study's results reported that female students' psychological motivation is higher than males in managing their e-learning environment. The study found that an e-learning environment helps students develop cognitive problem-solving skills, and students can manage their e-learning independently.

The COVID-19 pandemic in 2020 worldwide has shifted the educational system from a traditional approach to an online context. There is a lack of studies examining students' cognitive problem-solving skills, their ability to manage e-learning and investigating gender differences. The findings reported here are novel in the context of Malaysia. Little evidence exists about the impact of problem-solving among business students on e-learning management ability while providing insight into gender differences.

The purpose of this paper is to explore the moderating role of Lean Six Sigma (LSS) practices in explaining the relationship between quality management practices (QMPs) and quality performance.

Partial least square-based structural equation modeling (PLS-SEM) was used to empirically examine the moderating effect of LSS practices on QMPs and quality performance in Malaysian medical device manufacturing companies.

Findings revealed that both QMPs and LSS practices have a significant and positive effect on quality performance. Furthermore, LSS practices served as a substitute for moderating the positive relationship between QMPs and quality performance in such a way that the relationship becomes weaker as LSS practices increase.

LSS is acknowledged as the most well-known hybrid methodology; however, due to its relative newness, it has not been studied in great detail. Unlike previous studies, this paper argued that Lean and Six Sigma practices are distinct from its predecessor TQM practices; moreover, both Lean and Six Sigma practices do not need to substitute QM/TQM practices instead of complimenting the QMPs. In addition, this study adds to the growing body of QM literature by empirically examine the effect of LSS practices in moderating the relationship between QMPs and quality performance.

Over these recent years, increasing studies have found a higher propensity of firms founded by entrepreneurial teams (ETs) for continuous operation and high performance, compared to firms single-handedly created by an entrepreneur. In spite of the emerging significance of ETs, the number of related studies remains inadequately low, particularly within the context of franchise firms. Therefore, this study aims to explore the factors that influence the ETs’ performance in the Malaysian education and childcare franchise system using a qualitative approach.

Qualitative Research Strategy has been adopted and 27 ET leaders participated in this study to get the holistic view of factors influencing the entrepreneurial team (ET) performance in education and childcare franchise in Malaysia.

The results highlight the factors (team leadership, team training, team diversity, team processes, team confidence and team mental models) influencing the entrepreneurial team (ET) performance in education and childcare franchise in Malaysia.

The present study may help to provide useful information to policy makers, which enable them to formulate the strategies franchise ETs performance in Malaysia. As this study provides insight of factors that have an impact on ET performance. A best practice model for education and childcare franchise ETs’ performance is designed.

With the growing pressure to gain optimum level of quality and speed, Lean Six Sigma (LSS) practices have drawn considerable attention as a viable alternative for process improvement. However, previous studies revealed that there is very little systematic and rigorous research to validate the claims. In this regard, this paper aims to empirically examine the effect of LSS practices on quality performance in the medical device manufacturing industry.

For this study, partial least square–based structural equation modeling (PLS-SEM) was used to empirically examine the effect of LSS practices on quality performance in Malaysian medical device manufacturing industry.

The findings of this paper revealed that LSS practices have a significant and positive effect on quality performance in the medical device manufacturing industry.

This paper will serve as a valuable implication for industry practitioners in providing them with a clearer managerial direction to exploit the strength of LSS practices to achieve company’s quality goals. Moreover, this study will serve as a basis for future LSS scholars, providing them with valuable insights and directions for future research.

This paper develops a conceptual LSS framework that captures the integrated nature of two methodologies and provides empirical evidence that supports the positive influence of LSS practices on quality performance; hence, it contributes to the growing body of LSS literature in both theoretical and empirical sense.

Both investors and the stock markets are believed to behave in a perfectly rational manner, where investors focus on utility maximization and are not subjected to cognitive biases or any information processing errors. However, it has been discovered that the sentiment of the social mood has a significant impact on the stock market. This study aims to analyze how did the protest event of Tesla happened in April 2021 have a significant effect on the company's stock performance as well as its competitors, Nio, under the competitive effect.

The research is based on time series data collected from Tesla and Nio by employing 10 days, 15 days and 20 days anticipation and adjustment period for the event study. This study employed a text sentiment analysis to identify the polarity of the sentiment of the protest event using the Microsoft Azure machine learning tool which utilizes MPQA subjective lexicon.

The findings provide further evidence to show that a company-specific negative event has deteriorating effects on its stock performance, while having an opposite effect on its competitors.

The paper argues that negative sentiments through social media word of mouth (SWOM) affect the stock market not just in the short run but potentially in the longer run. Such negative sentiments might create a snowball effect which causes the market to further scrutinize a company's operations and possibly lose confidence in the company.

This study explores how the Tesla's protest event at Shanghai Auto Show 2021 has a significant impact on Tesla's stock performance and prolonged negative impact although Tesla implemented immediate remedial actions. The remedial actions were not accepted positively and induced a wave of negative news which had a more persistent effect.

Quantity surveying is a profession that blends engineering, construction and economics. To be competent is to have the ability to apply the set of related knowledge, skills and abilities to perform a task effectively. This paper examines the competency requirements for quantity surveyors (QSs) in the face of changing and increasing client needs.

Based on a detailed meta-analysis of the literature, 12 basic/core and 16 evolving competencies are identified. Primary data were gathered through a field survey involving practicing QSs from client, consultant and contractor organisations, and university students undertaking QS programmes in Malaysia. The data obtained were analysed using both descriptive and inferential statistical tools.

The significance of the basic/core and evolving competencies are presented. Overall, the most important contemporary skills are cost planning, valuation of works, measurement/quantification and contract documentation. The evolved roles require expertise in communication and negotiation, ethics and professional conduct and value management. The analysis of variance (ANOVA) indicates there are misaligned expectations of the proficiency levels needed to provide contemporary and future services between practitioners in client/consultant organisations, contractors and new generation students.

The findings provide guidance on the education, training and practice of quantity surveying to deal with emerging challenges in the dynamic built environments in Malaysia and beyond.