Ching Min Sun and Cynthia H.F. Wu
The purpose of this paper is to propose a new analytical approach in human thought computation with an application to the child language acquisition research.
Abstract
Purpose
The purpose of this paper is to propose a new analytical approach in human thought computation with an application to the child language acquisition research.
Design/methodology/approach
Certain fuzzy statistical concepts, such as fuzzy samples, fuzzy mode, fuzzy category test, and their relevant properties, were presented. Empirical data sets on children's language and cognitive development were discussed. Finally, the paper makes a comparison result between the traditional statistical analysis and fuzzy statistical analysis.
Findings
The results show that the new method is better able to capture the intricacies and complexities of the nature and processes in acquiring languages than the traditional methods.
Originality/value
The paper presents fuzzy statistical analysis as a new analytical approach in child language research.
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Huiying (Cynthia) Hou, Joseph H.K. Lai and Hao Wu
Green building education, an important aspect of sustainability in higher education, has rapidly expanded across the world. Yet, a bespoke pedagogical model integrating the…
Abstract
Purpose
Green building education, an important aspect of sustainability in higher education, has rapidly expanded across the world. Yet, a bespoke pedagogical model integrating the essential elements of green building knowledge into a university course is lacking. To plug this deficiency, this study aims to develop an innovative pedagogical model that incorporates four types of teaching activities, namely, lecture, virtual reality (VR)-aided site visit, physical site visit and practicum-based project.
Design/methodology/approach
Based on an extensive review of the relevant literature and course materials, a pedagogical model was constructed for application to the teaching and learning activities of a university’s hospitality and real-estate programme. Using a case study approach involving in-depth interviews with green building professionals and a workshop coupled with an online survey on building professionals, the model’s transformative effectiveness was evaluated.
Findings
The study finds that the pedagogical model was able to effectively equip students with the essential green building knowledge pertinent to the different stages of a building life cycle. Concerns about wider applications of the model, including barriers to implementation in other academic programmes and resources for updating the VR platform, were identified.
Originality/value
The VR-aided and project-based pedagogy model is novel and effective in delivering green building education. Future work, particularly expanding the VR platform to cover more green building cases, thereby allowing multiple case studies to be conducted, is recommended for illustrating further contributions and implications of the model.
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Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…
Abstract
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.
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Huiying (Cynthia) Hou, Joseph H.K. Lai, Hao Wu and Tong Wang
This paper aims to investigate the theoretical and practical links between digital twin (DT) application in heritage facilities management (HFM) from a life cycle management…
Abstract
Purpose
This paper aims to investigate the theoretical and practical links between digital twin (DT) application in heritage facilities management (HFM) from a life cycle management perspective and to signpost the future development directions of DT in HFM.
Design/methodology/approach
This state-of-the-art review was conducted using a systematic literature review method. Inclusive and exclusive criteria were identified and used to retrieve relevant literature from renowned literature databases. Shortlisted publications were analysed using the VOSviewer software and then critically reviewed to reveal the status quo of research in the subject area.
Findings
The review results show that DT has been mainly adopted to support decision-making on conservation approach and method selection, performance monitoring and prediction, maintenance strategies design and development, and energy evaluation and management. Although many researchers attempted to develop DT models for part of a heritage building at component or system level and test the models using real-life cases, their works were constrained by availability of empirical data. Furthermore, data capture approaches, data acquisition methods and modelling with multi-source data are found to be the existing challenges of DT application in HFM.
Originality/value
In a broader sense, this study contributes to the field of engineering, construction and architectural management by providing an overview of how DT has been applied to support management activities throughout the building life cycle. For the HFM practice, a DT-cum-heritage building information modelling (HBIM) framework was developed to illustrate how DT can be integrated with HBIM to facilitate future DT application in HFM. The overall implication of this study is that it reveals the potential of heritage DT in facilitating HFM in the urban development context.
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Huiying (Cynthia) Hou, Joseph H.K. Lai, Hao Wu and Sara Jane Wilkinson
Joseph H.K. Lai, Huiying (Cynthia) Hou, David J. Edwards and P.L. Yuen
This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals.
Abstract
Purpose
This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals.
Design/methodology/approach
Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study.
Findings
From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed.
Research limitations/implications
Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally.
Practical implications
The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services.
Originality/value
The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.
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Adetayo Olaniyi Adeniran, Ikpechukwu Njoku and Mobolaji Stephen Stephens
This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and…
Abstract
This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.
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I. Putu Sukma Hendrawan and Cynthia Afriani Utama
This study aims to investigate the impact of facial-based perceived trustworthiness on stock valuation, particularly, in the initial public offering (IPO). IPO settings provide…
Abstract
Purpose
This study aims to investigate the impact of facial-based perceived trustworthiness on stock valuation, particularly, in the initial public offering (IPO). IPO settings provide the opportunity to investigate whether information asymmetry resulting from company newness in the market would influence the incorporation of soft information in the form of executive facial trustworthiness in stock valuation.
Design/methodology/approach
We use a recent machine learning algorithm to detect facial landmarks and then calculate a composite facial trustworthiness measure using several facial features that have previously been observed in neuroscience and psychological studies to be the most determining factor of perceived trustworthiness. We then regress the facial trustworthiness of IPO firm executives to IPO underpricing.
Findings
Utilizing machine learning algorithms, we find that the facial trustworthiness of the company executive negatively impacts the extent of IPO underpricing. This result implies that investors incorporate the facial trustworthiness of company executives into stock valuation. The IPO underpricing also shows that the cost of equity is higher when perceived trustworthiness is low. With regard to the higher information asymmetry in IPO transactions, such a negative impact implies the role of facial trustworthiness in alleviating information asymmetry.
Originality/value
This study provides evidence of the impact of top management personal characteristics on firms’ financial transactions in the Indonesian context. From the perspective of investors and other fund providers, this study shows evidence that heuristics still play an important role in financial decision-making. This is also an indication of investor reliance on soft information. Our research method also provides a new opportunity for the use of machine-learning algorithms in processing non-conventional types of data in finance research, which is still relatively rare in emerging markets like Indonesia. To the best of our knowledge, our study is the first to use personalized measures of trust generated through machine-learning algorithms in IPO settings in Indonesia.
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Cynthia Mejia, Katherine Ciarlante and Kinjal Chheda
Adopting an interdisciplinary perspective, the purpose of this paper was to posit an industry-wide technological intervention for hotel housekeeper safety and health through the…
Abstract
Purpose
Adopting an interdisciplinary perspective, the purpose of this paper was to posit an industry-wide technological intervention for hotel housekeeper safety and health through the advancement of wearable technology.
Design/methodology/approach
Using the task-technology fit (TTF) model and examples of successful safety and health applications of wearable technologies in the health-care and construction management industries, interventions and future research directions are presented to address workplace hazards experienced by hotel housekeepers.
Findings
The fit between a variety of hotel housekeeper user requirements, task demands and wearable functions are explored with justification for the use of wearable devices to improve safety and health-related outcomes.
Research limitations/implications
A research agenda is proposed for the adoption and use of wearables in the hospitality industry with the intention to generate meaningful interventions beyond corporate wellness, and the mitigation of employee privacy concerns to enhance wearable adoption.
Practical implications
Given the importance of consumer safety and health assurance in a post-pandemic business environment, hospitality and tourism organizations should place greater emphasis on protecting front line employees who will be essential in regaining economic viability.
Social implications
Theoretical and practical foci should move beyond a simplistic view of hospitality and tourism worker safety and health that generally centers on wellness initiatives and other baseline strategies, toward a more holistic view benefitting the hospitality industry.
Originality/value
Extant concerns about hotel housekeeper safety and health, in addition to new concerns and threats in a post-pandemic work environment, are largely understudied and worthy of investigation.