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Narratives are useful to educate novices to learn from the past in a safe environment. For some high-risk industries, narratives for lessons learnt are costly and limited, as they are constructed from the occurrence of accidents. This paper aims to propose a new approach to facilitate narrative generation from existing narrative sources to support training and learning.

A computational narrative semi-fiction generation (CNSG) approach is proposed, and a case study was conducted in a statutory body in the construction industry in Hong Kong. Apart from measuring the learning outcomes gained by participants through the new narratives, domain experts were invited to evaluate the performance of the CNSG approach.

The performance of the CNSG approach is found to be effective in facilitating new narrative generation from existing narrative sources and to generate synthetic semi-fiction narratives to support and educate individuals to learn from past lessons. The new narratives generated by the CNSG approach help students learn and remember important things and learning points from the narratives. Domain experts agree that the validated narratives are useful for training and learning purposes.

This study presents a new narrative generation process for a high-risk industry, e.g. the construction industry. The CNSG approach incorporates the technologies of natural language processing and artificial intelligence to computationally identify narrative gaps in existing narrative sources and proposes narrative fragments to generate new semi-fiction narratives. Encouraging results were gained through the case study.

Prior studies have examined the relationship between budgetary slack and short-termism of management within a profit-seeking business environment. The purpose of this paper is to examine the dynamics of slack resources in relation to quality performance of heath care services delivered by a publicly funded organization.

A longitudinal regression analysis of resource utilization, productivity and the quality of health care services delivered is performed to reveal evidence about the underlying dynamics of heterogeneous slack resources. It attempts to study slack resources in the case of a “mega” health care service provider based in Hong Kong.

The results suggest that the organization’s cost containment culture, with a strategic focus on productivity measures, has augmented cost effectiveness; however, not all slack resources would enhance quality performance.

This study of a mega health care service provider complements the prior studies of slack resources and points out the challenges of proactively managing any slack resources toward quality performance beyond productivity.

The purpose of this paper is to propose an automated machine learning (AutoML) and multi-agent system approach to improve overall product delivery satisfaction under limited resources.

An AutoML method is purposed to model delivery satisfaction of individual customer, and a heuristic method and multi-agent system are proposed to improve overall satisfaction under limited processing capability. A series of simulation experiments have been conducted to illustrate the effectiveness of the proposed methodology.

The simulated results show that the proposed method can effectively improve overall delivery satisfaction, especially when the demand of customer orders is highly fluctuating and when the customer satisfaction models are highly diversified.

The proposed framework provides a more dynamic and continuously improving way to model delivery satisfaction of individual customer, thereby supports companies to provide personalized services and develop scalable and flexible business at a lower cost, and ultimately improves the overall quality, efficiency and effectiveness of delivery services.

The proposed methodology utilizes AutoML and multi-agent system to model individual customer delivery satisfaction and improve the overall satisfaction. It can cooperate with the existing delivery resource planning methods to further improve customer delivery satisfaction. The authors propose an AutoML approach to model individual customer delivery satisfaction, which enables continuous update and improvements. The authors propose multi-agent system and a heuristic method to improve overall delivery satisfaction. The numerical results show that the proposed method can improve overall delivery satisfaction with limited processing capability.

The purpose of this paper is to propose a cross-enterprises framework to achieve a higher level of sharing of knowledge and services in manufacturing ecosystems.

The authors describe the development of the emerging open manufacturing and discuss the model of knowledge creation processes of manufacturers. The authors present a decentralized framework based on blockchain and edge computing technologies, which consists of a customer layer, an enterprise layer, an application layer, an intelligence layer, a data layer, and an infrastructure layer. And a case study is provided to illustrate the effectiveness of the framework.

The authors discuss that the manufacturing ecosystem is changing from integrated and centralized systems to shared and distributed systems. The proposed framework incorporates the recent development in blockchain and edge computing that can meet the secure and distributed requirements for the sharing of knowledge and services in manufacturing ecosystems.

The proposed framework provides a more secure and controlled way to share knowledge and services, thereby supports the company to develop scalable and flexible business at a lower cost, and ultimately improves the overall quality, efficiency, and effectiveness of manufacturing services.

The proposed framework incorporates the recent development in edge computing technologies to achieve a flexible and distributed network. With the blockchain technology, it provides standards and protocols for implementing the framework and ensures the security issues. Not only information can be shared, but the framework also supports in the exchange of knowledge and services so that the parties can contribute their parts.

Switching to green energy is a crucial step in achieving carbon neutrality. This study aims to explore what motivates people to use green energy and how much more people are willing to pay for green energy.

Grounded on the value–attitude–intention hierarchy, this study proposes that environmental consciousness as a human value influences attitudes including attitude toward environmental issues and attitude toward ecosocial benefits while attitudes, information and knowledge about green energy and quality and price of green energy influence people’s intention to use green energy. Data were collected from 342 Chinese adults.

Results showed that environmental consciousness significantly and positively influenced attitudes while attitude toward environmental issues had the greatest effect on people’s intention to use green energy, followed by quality and price of green energy. About 44% respondents were willing to pay 2.5% to <5% more money for green energy.

This study extended the use of value–attitude–intention hierarchy to investigate what motivates people to use green energy. Specifically, this study demonstrated that quality and price, and knowledge and information also significantly shaped people’s intention to use green energy significantly.

An internship is an essential part of vocational-oriented degree programs because it enhances the employability of graduates and prepares them for career development. Thus, it is important to understand how students view internships and whether they are satisfied with their internship experience. This paper explores the effects of organizational and individual factors on internship satisfaction.

Based on a literature review on internship, we propose a theoretical model in which organizational factors, including supervisor support and task clarity, and individual factors, including interns' perceived functional value and perceived social value, can lead to internship satisfaction while task clarity, perceived functional value and perceived social value can affect interns' self-initiative behavior. The proposed model was tested using responses from 161 Chinese students in Macao SAR.

The results of structural equation modeling indicated that supervisor support and perceived social value had direct and significant impacts on internship satisfaction while task clarity and perceived functional value had direct and significant impacts on interns' self-initiative behavior. Additionally, supervisor support significantly influenced task clarity, perceived functional value and perceived social value.

The paper identifies that supervisor support has a strong and significant impact on internship satisfaction. Additionally, the current study indicates that organizations should pay great attention to appoint the right work supervisors who are able to assign appropriate tasks to interns, provide clear guidance and facilitate social interaction between interns and other people.

The success of corporate community involvement depends on employees' perception of and intention to participate in the associated activities. This paper explores personal and perceived organizational factors that influence casino employees' intention to participate in community involvement activities using the extended value-attitude-intention model.

Based on a literature review on corporate community involvement in the hospitality industry and the value-attitude-intention hierarchy, a theoretical model that links perceived societal value to employees' behavioral intention was established. The model was tested using responses from 322 Macao's casino employees.

Results of structural equation modeling showed that perceived societal value of corporate community involvement and perceived societal pressure significantly influenced employees' attitude toward community involvement while perceived societal pressure also significantly influenced perceived facilitating conditions. Additionally, employees' attitude toward corporate community involvement and perceived facilitating conditions affected their intention to participate in corporate community involvement activities.

Casinos use corporate community involvement as a way of counteracting the negative impacts of commercial gaming and supporting local communities. Hence, it is vital to understand the mechanism of engaging casino employees in corporate community involvement activities.

The purpose of this paper is to investigate the development process of the fire whirl in the fixed-frame facility and focus on the impacts of the fire whirl’s vortex core on the formation and flame structure of the fire whirl.

The complex turbulent reacting flame surface is captured by the large eddy simulation turbulence closure coupled with two sub-grid scale (SGS) kinetic schemes (i.e. the chemistry equilibrium and steady diffusion flamelet). Numerical predictions are validated thoroughly against the measurements by Lei et al. (2015) with excellent agreements. A double maximum tangential velocity refinement approach is proposed to quantify the vortex cores’ instantaneous location and region, addressing the missing definition in other studies.

The numerical results show that the transition process of the fire whirl is dominated by the vortex core movement, which is related to the centripetal force. The unsteadiness of the fully developed fire whirl was found depending on the instantaneous fluctuation of heat release rate. The steady diffusion flamelet scheme is essential to capture the instantaneous fluctuation. Furthermore, the axial velocity inside the vortex core is the key to determining the state of fire whirl.

Due to intensive interactions between buoyant fires and ambient rotating flow, the on-set and formation of fire whirl still remain largely elusive. This paper focused on the transition process of fire whirl between different development stages. This paper provides insights into the transition process from the inclined flame to the fire whirls based on the centripetal force.

This paper presented and compared two SGS kinetic schemes to resolve the fire whirl development process and the unsteadiness of its vortical structures. The modelling framework addresses the shortcoming of previous numerical studies where RANS turbulence closure and simplified combustion kinetics was adopted. Numerical results also revealed the fire whirl transition process and its relationship to centripetal force.

Sustainability has been the subject of several scientific investigations. Many researchers in the construction industry have also examined a range of sustainability-related studies. However, few studies have thoroughly reviewed implementing sustainability concepts in high-rise residential buildings (HRRBs).

By adopting scientometrics and systematic review (SR), this study seeks to map out recent sustainability trends and concepts in the design, development and operation of HRRBs worldwide and in Hong Kong. With a focus on bibliographic records from the Web of Science (WoS) database, 1,395 journal articles from 2013 to 2022 were analysed. Furthermore, thirteen studies were systematically reviewed.

The SR indicated that sustainable practices in developing Hong Kong's HRRBs emphasised zero-carbon buildings, reduced energy usage and energy-efficient retrofitting. Likewise, terms such as BIM, urban density, life cycle assessment and system dynamics are strongly connected with clusters that include “residential buildings”, “high-rise buildings” and “high-rise residential buildings”. The study identified significant themes in establishing HRRBs by combining sustainable practices, emphasising urban governance and policy management, building performance and thermal comfort, energy and design optimisation, occupant behaviour and sensitivity analysis. Core sustainability ideas have improved resource management, air quality management and knowledge of user behaviour in HRRBs.

The study allows researchers and practitioners to explore future research directions in the built environment per the application of sustainable concepts in the development of HRRBs from design, construction and post-construction phases.

The purpose of this paper is to report on an exploratory study designed to illuminate the complexity of outsourcing extra-curricular activities (ECAs) in primary schools in a time of neoliberal influence and to examine the views of teaching professionals on the reasons, issues and considerations of outsourcing ECAs such as the dynamic relations between ECA coordinators and service providers, and between teachers and parents.

The qualitative research that informs this paper is conceptualized within the interpretive paradigm since it aims at understanding the thoughts of 20 teaching professionals including 16 teachers and four principals with regard to the outsourcing of ECRs in times of promoting other learning experiences in schools. This interpretive paradigm emphasizes naturalistic methods of inquiry.

Two major themes which demonstrated the driving forces for outsourcing educational activities as well as the dynamic relationship between teaching professionals and service providers arising in the process of outsourcing emerged from the interview data. This paper illustrates that the neoliberal impact on the implementation and quality of ECAs needs to be understood as a much more complicated process shaped by the local context.

A major limitation is the small number of samples in primary schools in this qualitative study. Another area of possible investigation is the noticeable extension of the study area to the sectors of kindergartens and secondary schools.

From management perspectives the finding carries the implication that outsourcing must be carefully planned have explicit goals and systematically implemented.

The finding enriches the understanding of how neoliberal thinking creeps into management of outsourcing ECAs in schools.

The study does not aim at generalization of the findings but it attempts to illuminate the phenomenon of outsourcing ECAs in primary schools in Hong Kong. To support the empirical findings of the present qualitative study, it is recommended that follow-up quantitative studies be conducted, with larger sample sizes and more diverse sample groups included in the population.