Browse
Recent Submissions
- ItemZero carbon refurbishment for existing buildings: A literature review(IOP Publishing Ltd, 2022-01-01) Bui TTP; Domingo N; Macgregor C; Wilkinson SThe need to mitigate climate change calls for the construction industry to achieve net-zero greenhouse gas (GHG) emissions for new and existing buildings by 2050. Zero carbon refurbishment (ZCR) for existing buildings is a significant area of interest, as many existing buildings will still be there in 2050. This paper investigates the global development, knowledge structure and gaps in the research field by conducting a systematic literature review. The final selection of 147 up-to-date journal articles was analysed using mixed-method data analysis, including quantitative (science mapping) and qualitative (thematic) analysis. Quantitative results reveal evolving research topics including energy performance and efficiency, life cycle environmental impacts, energy resources and policy, and decision-making with multi-objective optimisation. Research in ZCR is well-established in European countries and there is much interest and activity around the world. ZCR research on residential and office buildings provokes much consideration compared to other building types. The qualitative findings discuss the mainstream research areas (e.g. decision-making with multi-objective optimisation), determines research gaps (e.g. carbon impact), and recommends the future research agenda. The study offers academics a comprehensive understanding of ZCR research to link current research areas into future trends. It also provides construction professionals with current practices and an interdisciplinary guide to better deliver ZCR projects.
- ItemConstruction industry classification systems: Defining the construction sector in New Zealand(IOP Publishing Ltd, 2022-01-01) Hoai Le AT; Domingo N; Sutrisna MCanConstrucNZ is a partnership programme between New Zealand universities, government agencies, and professional bodies to develop a smart system that enables mapping future pipeline projects with the industry capacity and capability to advise the stakeholders whether the sector will be capable of delivering the proposed construction projects. Defining the scope of the construction sector itself is the first step of the programme that helps measure the construction sector capacity. This paper compares different definitions and approaches of the construction sector boundaries and discusses similarities and differences in the selected classification systems, usually used to define, collect, and generate data for measuring the construction sector. The findings highlight the need for a more comprehensive classification to help generate the correct level of data for measuring the construction sector's true scope and size, resulting in better policy initiatives, and informing changes in the industry. The findings of this study recommend future research to develop a customised classification system to represent the value of the New Zealand construction sector in a holistic manner.
- ItemEstablishing a Collaboration Model for BIM Training Program in Technical and Vocational Education and Training (TVET): A Vietnam case study(IOP Publishing Ltd, 2022-01-01) Hoai Le AT; Phung Q; Nguyen TX; Nguyen TLThis study presents an institution-industry collaboration model for BIM training with a case study of a TVET college in Vietnam. The model focuses on the most needed and practical skills to fit with the actual requirements of the labour market. It also helps to educate BIM technicians that meet the industry standards in a reasonable training time. In consultation with the industrial partners, the College defined six learning outcomes and 18 competencies for the BIM program to ensure that students can perform the BIM technician job when finishing the program. The findings present the benefits of the collaboration training model that could provide a better learning environment for students and help to narrow the gap between educational outcomes and industry needs. Furthermore, a questionnaire survey was conducted targeting the industrial partners and graduated students to assess the importance of the designed competencies. Feedback from the participants shows that collaboration and self-development skills are the most critical skills for the BIM technicians, so the BIM program should develop related courses aligned with the learning outcomes.
- ItemPrototyping an immersive virtual reality training system for urban-scale evacuation using 360-degree panoramas(IOP Publishing Ltd, 2022-01-01) Feng Z; Liu C; Gonzalez VA; Lovreglio R; Nilsson DUrban-scale evacuation may take place because of disasters or emergencies. Efforts have been made to enhance the preparedness of communities for urban-scale evacuation. For instance, wayfinding systems are installed and implemented in tsunami-prone regions, indicating the evacuation routes to high ground or inland. However, communities tend not to familiarise themselves with wayfinding systems and the best evacuation routes because tsunami evacuation drills are not normally carried out given the challenges to plan and run them. This study proposes a rapid development approach for immersive virtual reality (IVR) training systems suited to urban-scale evacuation. This approach utilises 360-degree panoramas to represent an urban environment in IVR, getting rid of the process of 3D modelling or reality capture to reconstruct a virtual urban environment. The 360-degree panoramas used in this study were directly acquired via a 360-degree camera. Immediate feedback is applied as a pedagogical approach to inform users. The training objective is to make users capable of identifying evacuation signs and the best evacuation route. This paper outlines a development framework to demonstrate the prototyping workflow of a 360-degree panoramic IVR training system suited to urban-scale evacuation. 360-degree panoramic IVR requires low levels of development efforts and computational resources. Therefore, urban-scale evacuation drills become possible to be rolled out easily and quickly to a wider population using 360-degree panoramic IVR.
- ItemHow can live streamers enhance viewer engagement in eCommerce streaming?(HICCS, 2021-01-05) Liu GHW; Sun M; Lee NCA; Bui TXeCommerce live streaming has enabled new forms of customer engagement, where live streamers, viewers and platform owners engage each other in real time to hawk and trade goods and services. Central to live streaming sales are live streamers. It is therefore critical to discover techniques to maximize live streamers' engagement with viewers. Based on the intimacy theory, we propose the perceived intimacy live streamers created improves online engagement with viewers. Our survey results suggest streamers' authenticity, attitudinal similarity and customer response capability enhance intimacy perceived by online viewers, leading to viewers' online engagement. Contributions of our study are discussed.
- ItemCognitive biases in developing biased artificial intelligence recruitment system(University of Hawai‘i at Mānoa, 2021-01-01) Soleimani M; Intezari A; Taskin N; Pauleen D; Bui TXArtificial Intelligence (AI) in a business context is designed to provide organizations with valuable insight into decision-making and planning. Although AI can help managers make decisions, it may pose unprecedented issues, such as datasets and implicit biases built into algorithms. To assist managers with making unbiased effective decisions, AI needs to be unbiased too. Therefore, it is important to identify biases that may arise in the design and use of AI. One of the areas where AI is increasingly used is the Human Resources recruitment process. This article reports on the preliminary findings of an empirical study answering the question: how do cognitive biases arise in AI? We propose a model to determine people's role in developing AI recruitment systems. Identifying the sources of cognitive biases can provide insight into how to develop unbiased AI. The academic and practical implications of the study are discussed.
- ItemIntroduction to the Judgement, Big Data-Analytics and Decision-making Minitrack(University of Hawai‘i at Mānoa, 2021-01-05) Pauleen D; Weerasinghe K; Taskin N; Intezari A; Bui TX2021 is the first year that the Judgement, Big Data-Analytics and Decision-making mini-track has been offered. The track's objective is to monitor and advance our knowledge of the convergent technologies of Big Data and analytics and their role in augmenting knowledge for better management decision-making. The track attracted seven submissions of which five were accepted. The papers form a diverse group, offering case studies of big data analytics projects and critical analysis of various factors that impact the successful or unsuccessful use of data/analytics in organizational settings.
- ItemReal-time Employee Monitoring Technologies in the Construction Sector - Effect, Readiness and Theoretical Perspectives: The case of New Zealand(IOP Publishing Ltd, 2022-01-01) Wu RW; Yiu TW; Jelodar MBVarieties of Real-time Employee monitoring Technology (REMT) are becoming popular and have aroused significant interest in recent years from the construction sector, where the industry explores the use of advanced monitoring technologies to reduce unsafe work behaviours and improve productivity. However, studies identified some concerns about applying these monitoring technologies at construction sites. Consequently, REMT devices and applications have not been well-received for tracking frontline workers. Lack of understanding of REMT, monitoring data protection and privacy management strategy set a barrier for the monitoring technologies to implement in the construction industry. Privacy has become a critical issue for the future digital construction site. This study adopts the literature review and a questionnaire survey, examined the readiness, summarised effects of REMT applied at the New Zealand construction sites, identified the influence factors, and discovered the theories that will potentially explain the factors and address the potential impact. Communication Privacy Management theory (CPM), Equity Theory (ET) and Control Theory of Privacy (CTP) are reviewed, and a theoretical framework is built upon REMT adoption in the construction sector. In conclusion, future studies are recommended for the international construction entities to get ready to adopt the real-time monitoring tools.
- ItemStatistics anxiety in university students in assessment situations(Editorial Universitat Politècnica de València, 2018) Frias-Navarro D; Monterde-i-Bort H; Navarro-Gonzalez N; Molina-Palomero O; Pascual-Soler M; Perezgonzalez J; Longobardi C; Domenech J; Merello P; de la Poza E; Blazquez DMany students have feelings of state anxiety when taking exams, and these feelings probably affect their performance. Statistics courses have been identified as producing the most anxiety. The purpose of our study is to measure statistics anxiety throughout an academic course (pre-test and three assessments) in order to observe its change and analyze the relationship between statistics anxiety and academic achievement. The sample is composed of 30 Psychology students taking a course in research designs and statistics (26.7% men and 73.3% women) with a mean age of 20.31 years (SD = 3.76). The results show that the students begin with a high level of statistics anxiety that gradually declines as the course progresses and they study the course materials. Moreover, the final achievement in the subject maintains an inverse relationship with the level of statistics anxiety. The recommendation is to present the detailed contents of the teaching guide on the first day of the course in order to reduce students’ anxiety and uncertainty when beginning a statistics course. Financial support: Project UV-INV-AE17-698616. University of Valencia. Spain.
- ItemHarvesting Wisdom on Social Media for Business Decision Making(HICSS, 2022-01-01) Yu J; Taskin N; Pauleen DJ; Jafarzadeh H; Bui TXThe proliferation of social media provides significant opportunities for organizations to obtain wisdom of the crowds (WOC)-type data for decision making. However, critical challenges associated with collecting such data exist. For example, the openness of social media tends to increase the possibility of social influence, which may diminish group diversity, one of the conditions of WOC. In this research-in-progress paper, a new social media data analytics framework is proposed. It is equipped with well-designed mechanisms (e.g., using different discussion processes to overcome social influence issues and boost social learning) to generate data and employs state-of-the-art big data technologies, e.g., Amazon EMR, for data processing and storage. Design science research methodology is used to develop the framework. This paper contributes to the WOC and social media adoption literature by providing a practical approach for organizations to effectively generate WOC-type data from social media to support their decision making.
