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This paper aims to adopt a comparative method using case law, statutes and secondary literature across both jurisdictions. This paper also draws on various theories of property ownership.

This paper conceptualises the legal relations embedded within condominium housing and the various theories of property ownership to ascertain how children’s interest fit within this framework. The laws of two jurisdictions, New South Wales and Singapore, are examined to determine how their strata law responds when children’s safety is at stake.

Drawing on pluralist moral theories of property law, the thesis advanced is that children’s issues within condominiums should not be subject to majoritarian rule especially when their safety is at stake. The paramount guiding value should be ensuring their safety within multi-owned housing communities. Using the law of two jurisdictions, New South Wales and Singapore, the central argument of this paper is that the law in these jurisdictions has rightfully adopted a protective approach towards children in multi-owned properties where their safety is at stake.

The literature on the law of multi-owned housing has largely focused on governance issues such as mediating between the majority owners’ interest with that of the minority owners’ interest. Children in multi-owned developments remain an under investigated area as children’s interests do not fit within the paradigm of majority versus minority interests. The paper advances the argument that children’s interest should be viewed through either a rights-based theory or pluralists’ theories of property law. Lessons from the New South Wales and Singapore experience are also drawn which might prove useful to other jurisdictions.

The rapid changes that the healthcare services industry is undergoing pose a challenge to obtaining accurate measurements of the delivery of medical services to patients. Current Chinese measures of patient safety culture may not adequately capture how medical staff perceives the promotion of patient safety. This study aims to construct a valid and applicable patient safety culture instrument by re-estimating the Chinese version of the Safety Attitudes Questionnaire (SAQ) with medical staff in Taiwan.

Exploratory factor analysis (EFA) was conducted on data collected from a sample of 448 medical workers at a regional teaching hospital in Taiwan, and data from 804 participants at a medical center were subjected to confirmatory factor analysis (CFA). The distribution of the questions among the dimensions was different from that in the Chinese version of the SAQ.

The authors' results confirm that 3 correlated first-order factors, including 11 items, can be used to measure collaboration and safety, stress recognition and emotional exhaustion (EE). The authors' data suggest that the cooperation mechanism, patient safety promotion, stress management and emotional management are drivers of patient safety and should be prioritized when seeking to evaluate the perceptions of hospital staff toward patient safety culture in hospitals in Taiwan.

To improve the quality and safety of patient care, the measurement scale should be revisited and modified as the industry changes over time and to take account of cultural variation. The authors restructured the current Chinese version of the SAQ developed by the Joint Commission of Taiwan (JCT) to offer more precise measures that increase the sensitivity of the measurement of the level of care in items of patient safety and that serve as a diagnostic instrument to review patient safety management.

The purpose of this paper is to examine the relationships among the experiential quality (EQ) dimensions, experiential satisfaction (ES), experiential involvement (EI), host city image (HCI), experiential equity (EE), spectator affection (SA) and experiential loyalty (EL) in the sport context.

The data used in this study were based on a sample of 674 spectators from the finals of the men’s and women’s football tournaments held at the Maracanã Stadium in Rio, indicating that the proposed model fitted the data.

Findings show that the six EQ dimensions physical environment quality, outcome quality, access quality (AQ), game quality, trip quality (TQ) and security quality (SQ), EI, EE, HCI and SA positively influence ES. Also, EI moderates the relationship between HCI and EL. Moreover, EL is influenced by EI, HCI, SA and ES.

Results will assist sport management in developing and implementing market-orientated service strategies to increase the EQ dimensions, ES, EI, EE, HCI and SA in order to increase EL.

This study provides data that result in a better understanding of the relationships among the EQ dimensions, ES, EI, HCI, EE, SA and EL in the sporting context.

Gender difference exists in the perception of the patient safety culture in healthcare organizations. A case from a medical center in Taiwan is presented to examine how different genders perceive the patient safety culture in practice from 2014 to 2017.

A longitudinal study using the data from 2014 to 2017 is conducted quantitatively. Mann–Whitney U test and one-way analysis of variance are employed for analyses.

The results showed that female nurses had significantly higher emotional exhaustion than male nurses in 2015 and 2016 indicating male nurses had better fatigue recovery than their female counterparts. In addition, male nurses felt a higher degree of fatigue in 2016 and 2017 than those in 2015 statistically. In contrast, female nurses felt more stressful in 2016 and 2017 than those in 2014 statistically. Female nurses had higher emotional exhaustion in 2016 and 2017 than those in 2014 and 2015 statistically.

To sum up, female nurses were more stressful than before, and their recovery was also relatively poor particularly in 2016 and 2017. There is a need to reduce the degree of fatigue for female nurses in this medical center through employee assistance programs, mindfulness-based stress reduction programs, building up female nurses' positive currency and setting up their appreciative inquiry. In contrast to female nurses, male nurses recovered better from fatigue. This might encourage hospital management to deploy male nurses more effectively in this medical center.

The results enable the hospital management to know there is a gender difference in this case hospital. More attention on female nurses is required.

This paper aims to maintain the high service quality of the long-term care service providers by establishing a knowledge-based system so as to enhance the service quality of nursing homes and the performance of its nursing staff continually.

An intelligent case-based knowledge management system (ICKMS) is developed with the integration of two artificial intelligence techniques, i.e. fuzzy logic and case-based reasoning (CBR). In the system, fuzzy logic is adopted to assess the performance through the analysis of the long-term care services provided, nurse performance and elderly satisfaction, whereas CBR is used to formulate a customized re-training program for quality improvement. A case study is conducted to validate the feasibility of the proposed system.

The empirical findings indicate that the ICKMS helps in identification of those nursing staff who cannot meet the essential service standard. Through the customized re-training program, the performance of the nursing staff can be greatly enhanced, whereas the medical errors and complaints can be considerably reduced. Furthermore, the proposed methodology provides a cost-saving approach in the administrative work.

The findings and results of the study facilitate decision-making using the ICKMS for the long-term service providers to improve their performance and service quality by providing a customized re-training program to the nursing staff.

This study contributes to establishing a knowledge-based system for the long-term service providers for maintaining the high service quality in the health-care industry.

Self-Service Technology (SST) is a disruptive technology that has reshaped customer interactions, increased efficiency, and enabled data-driven decision-making. Its impact continues to evolve as technology advances and customer expectations change, making it a key consideration for businesses in a dynamic landscape. This chapter delves into critical findings regarding the adoption and implications of SST in tourism and hospitality. The relevant studies are sourced from the Scopus database. A mixed literature review methodology was employed to review papers. The literature review findings show facets of SST adoption, shedding light on the intricate relationships between consumer readiness variables, context-specific influences, preferred SST features, and psychological attributes. The study reveals consumer preferences, including convenience, ease of use, and speed of service, as primary drivers of the adoption of SST. The bibliometric analysis reveals the scope for developing SST literature in tourism and hospitality. Collaborations among scholars, research and funding institutions could help provide the impetus. Research in SST security, sustainability, and resilience could help enhance the SST literature. Comparative studies evaluating SST's social and economic implications are also suggested.

The purpose of this study is to focus on a database from a supermarket for market segmentation.

Rather than using the questionnaire to collect the customers' purchase behaviors, this study uses a database from a supermarket as an example to illustrate how market segmentation can be performed by adding useful variables particularly from behavioral variables and through Chi-square test and analysis of variance.

The illustration of the database from a branch supermarket shows that two demographic variables (gender and age group) and two behavioral variables (date of transactions and time of purchase) are critical variables for market segmentation when total money spent and purchased merchandize items are taken into consideration.

This case study can be a reference for supermarket practitioners to follow in order to increase profit and to provide better services for their customers.

No studies have been found to combine demographic variables, behavioral variables, merchandize items and total amount for market segmentation simultaneously. Different combinations of demographic variables, behavioral variables and merchandize items can be further used to perform market segmentation more effectively. This framework used in this case study can be further applied in similar industries including retail industries for market segmentation as well as to fulfill customer needs in practice.

The fresh food supply chain industry faces significant challenges in risk management because of the complexity, immature development and unpredictable external environment of imported fresh food supply chains (IFFSCs). This study aims to identify specific risk factors in IFFSCs, demonstrate how these risks are transmitted within the system and provide an analytical framework for managing these risks.

A total of 15 risk factors for IFFSCs through extensive literature review and expert consultation are identified and classified into seven levels using interpretive structural modeling (ISM) to demonstrate the risk transmission path. Fuzzy Matrice d’Impacts Croises-Multiplication Appliance Classement (MICMAC) analysis is then used to analyze the role of each factor.

The interactions of the 15 identified risk factors of IFFSCs, classified into seven levels, are visualized using ISM. The fuzzy MICMAC analysis classifies the factors into four groups, namely, dependent, independent, linkage and autonomous factors, and identifies the relatively critical risk factors in the system.

The findings of this research provide a clear framework for enterprises operating in IFFSCs to understand the specific risks they may face and how these risks interact within the system. The fuzzy MICMAC analysis also classifies and highlights critical risk factors in the system to facilitate the formulation of appropriate mitigation measures.

This study provides enterprises in IFFSCs with a comprehensive understanding of how the risks can be effectively managed and a basis for further exploration. The theoretical model constructed is also a new effort to address the issues of risk in IFFSCs. The ISM and the fuzzy MICMAC analysis offer clear insights for researchers and enterprises to grasp complex concepts.

A finite volume scheme for diffusion equations on non-rectangular meshes is proposed in [Deyuan Li, Hongshou Shui, Minjun Tang, J. Numer. Meth. Comput. Appl., 1(4)(1980)217–224 (in Chinese)], which is the so-called nine point scheme on structured quadrilateral meshes. The scheme has both cell-centered unknowns and vertex unknowns which are usually expressed as a linear weighted interpolation of the cell-centered unknowns. The critical factor to obtain the optimal accuracy for the scheme is the reconstruction of vertex unknowns. However, when the mesh deformation is severe or the diffusion tensor is discontinuous, the accuracy of the scheme is not satisfactory, and the author hope to improve this scheme.

The authors propose an explicit weighted vertex interpolation algorithm which allows arbitrary diffusion tensors and does not depend on the location of discontinuity. Both the derivation of the scheme and that of vertex reconstruction algorithm satisfy the linearity preserving criterion which requires that a discretization scheme should be exact on linear solutions. The vertex interpolation algorithm can be easily extended to 3 D case.

Numerical results show that it maintain optimal convergence rates for the solution and flux on 2 D and 3 D meshes in case that the diffusion tensor is taken to be anisotropic, at times heterogeneous, and/or discontinuous.

This paper proposes a linearity preserving and explicit weighted vertex interpolation algorithm for cell-centered finite volume approximations of diffusion equations on general grids. The proposed finite volume scheme with the new interpolation algorithm allows arbitrary continuous or discontinuous diffusion tensors; the final scheme is applicable to arbitrary polygonal grids, which may have concave cells or degenerate ones with hanging nodes. The final scheme has second-order convergence rate for the approximate solution and higher than first-order accuracy for the flux on 2 D and 3 D meshes. The explicit weighted interpolation algorithm is easy to implement in three dimensions in case that the diffusion tensor is continuous or discontinuous.