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Climate change is most apparent through the increased severity and frequency of extreme events. Tourism as an activity is particularly sensitive. This paper aims to investigate the impact that climate change has on Xiamen tourism through a fuzzy comprehensive evaluation of questionnaire responses.

A fuzzy classification system of tourism factors most sensitive to climate change was built on the basis of an analytical hierarchical process.

A “relatively strong” association grade of the impacts of climate change on tourism was observed. Through fuzzy comprehensive evaluation, the method used has allowed for clear classification of the aspects of tourism, through its development, which are more vulnerable to climate change. The results acquired here can serve as reference material for stakeholders on implementing risk assessments, deepening the understanding of how climate change affects tourism and coordinate the interests of different parties through the achievement of focused development and realize the optimum, long-term and sustainable exploitation of tourism resources.

The sensitivity of a variety of tourist sectors within Xiamen was assessed and represents the newest pre-COVID-19 opinions concerning the effect of climate change on tourism. Additionally, the data used in this study was also collected before the outbreak of the COVID-19 pandemic and will serve as an important marker to track how expert opinions of the effects of climate change on tourism change over time.

The purpose of this paper is to investigate the correlation between the dynamic behavior of a full‐scale steel prototype and a small‐scale plastic model fabricated using fused deposition modeling (FDM).

Based on the use of a known input excitation, the small‐scale model is tested on a shake‐table. Experimental results are compared with results of a full prototype study and with computational models in an effort to assess the feasibility of testing small‐scale FDM models.

Time History Records present strong correlation with prototype data and are reproducible using computational methods. Matching the first natural frequency of the studied structure proved to be a large part of achieving the desired response.

Including the direct measurement of floor displacements will potentially highlight different aspects of model behavior not observed by recording accelerations only. Further investigation into the damping properties of acrylonitrile butadiene styrene plastic is recommended towards further understanding the model response.

Although this paper is based on a simple structure, the benefits of layered manufacturing (LM) methods include speed and ease of generating geometrically complex solids. The implications of the success of this pilot study include the ease in which the dynamic response of complex structures can be assessed using small‐scale LM models.

This project obtained baseline information on the dynamic behavior of FDM plastic parts. It provides assessment of the value of using small‐scale LM models to accurately predict the dynamic response of structures subjected to earthquake excitation.

This study aims to examine perceived price fairness, actual pricing and price decay in a short‐life cycle market; namely DVD films.

The prices of six UK retailers for a range of films released over the last 18 months were examined and compared with the perceived perception of fair price of a questionnaire sample of over 500 UK adults.

Consumers perceive a DVD to lose value of more than 50 per cent in the first year, but this price decay is not reflected in the actual pricing of the DVDs. Prices for newer DVDs are relatively consistent between retailers of the same channel type, but there are large price differentials for older and/or more specialised items.

This study is exploratory in nature, and a larger scale study of the phenomenon of price decay of digital short‐life cycle products such as DVDs is desirable.

The findings suggest that there is a considerable gap between actual prices and perceived fair prices of DVDs, especially for older items. DVD producers and retailers may need to consider adjusting their prices to bring them more in line with customer expectations. The large gap between actual prices and perceived fair prices also has important implications for brand management.

So far, no research has been undertaken which investigates perceived fair price and actual pricing of DVDs. Furthermore, the issue of consumer‐perceived price decay has largely been ignored in previous research. Both perceptions of price fairness and perceived price decay are important considerations for pricing policies. This study attempts to address this gap.

Control over large-scale coherent structures and stream-wise vortices lead to enhanced entrainment/conservation of the jet which is desirable for most free jet applications such as design of combustion chamber in jet engines and flame length elongation of welding torch used for metal cutting.

A co-flow nozzle with lip thickness of 2 mm, between the primary (inner) and secondary (outer) flow, is selected. Three nozzle combinations are used, i.e. C–C (circle–circle), C–E (circle–ellipse) and C–S (circle–square) for acquiring comparative data. For these nozzle combinations, inner nozzle exit plane is kept as a circle, whereas the outer nozzle exit planes are varied to circle, ellipse and square. The exit plane area of outer nozzle for the nozzle combinations has equivalent diameter, D_e. The nozzles are fabricated in a way that the outer nozzle can be rotated along the longitudinal axis, keeping the inner nozzle intact.

The C–C nozzle combination is effective in low Mach number regime in decaying the jet, when the rotational component is introduced. Around 30% reduction in the jet core length is observed for the C–C nozzle combinations without any lip. The C–E nozzle shows sedative result in decaying or preserving the jet. The C–S nozzle combination shows interesting phenomenon, whereby the low subsonic case tends to conserve the jet by 15% and the higher subsonic case tends to decay the jet by 10%.

The developed nozzle systems show both conservative and destructive effect on the jet, which is desirable for the mentioned applications.

The purpose of this paper is to examine the progress of rehabilitation and redevelopment and review the effectiveness of the Land (Compulsory Sale for Redevelopment) Ordinance (LCSRO) (Cap. 545) and proposals that influence the urban renewal process in Hong Kong.

The study largely relies on the review of the LCSRO and the Government's proposal, and the urban renewal progress. Rehabilitation and redevelopment data was collated and analyzed to assess how effective the renewal process and the Government legislation have been in tackling the urban decay problem in Hong Kong. This study benchmarks the good practices of Singapore.

The pace of urban renewal activities in Hong Kong is lagging behind its policy goal. The implementation of the urban renewal programme has not adequately resolved the serious problem of ageing buildings. The existing legislation has not been effectively attracting private sector's participation either. The proposed relaxation of the compulsory sale threshold for specified classes of lots under the LCSRO aims to assist private sector‐led redevelopment. However, it is not a panacea for urban decay. Whilst the private sector's participation is facilitated, the Government should consider complementary measures, e.g. the relaxation of such criteria as the building age, plot ratio and height limitation for a more effective and efficient process, particularly in less attractive sites. A careful balance should be maintained in redeveloping different regions in the city. The Government should also be cautious about the negative externalities that might affect to the community.

The paper identifies the implementation gap of urban renewal in Hong Kong. Practical suggestions are made to the Government and related organizations to expedite urban renewal works.

The paper assesses Hong Kong's urban decay problem in a quantitative way. This approach has hardly been applied in a local context. It also highlights important issues relating to private sector involvement in urban renewal activities and various concerns over the proposed changes to the LCSRO. The paper will benefit local policy makers, property developers and professionals in the area. Its results will form a basis for further research on the impact of the proposals on land supply and housing prices after its implementation.

The purpose of this paper is to study how supermarkets can maximize profits of selling perishable food through price adjustment based on real‐time product quality and values.

The value of the perishable food can be traced based on an automatic product identification technology radio frequency identification (RFID). With the support of the RFID, an optimization model can be developed to enable product tracking.

The analysis of the model shows promising benefits of applying a dynamic pricing policy and obtains the optimal ordering decision in respects of deterministic and stochastic demand function with RFID.

Although technological approaches for tracking products have attracted increasing attentions in both research and practice, little research have proved the profit using RFID by mathematics, the result of this paper can prove the benefit by using RFID.

The result of this paper can tell the supermarket how to make the price and the ordering decision by using the RFID.

This study proves the benefit of using the RFID by mathematical model based on the conceptual model before, and tell the method how to use RFID for pricing and making ordering decision.

This paper aims to develop a novel grey Bernoulli model with memory characteristics, which is designed to dynamically choose the optimal memory kernel function and the length of memory dependence period, ultimately enhancing the model's predictive accuracy.

This paper enhances the traditional grey Bernoulli model by introducing memory-dependent derivatives, resulting in a novel memory-dependent derivative grey model. Additionally, fractional-order accumulation is employed for preprocessing the original data. The length of the memory dependence period for memory-dependent derivatives is determined through grey correlation analysis. Furthermore, the whale optimization algorithm is utilized to optimize the cumulative order, power index and memory kernel function index of the model, enabling adaptability to diverse scenarios.

The selection of appropriate memory kernel functions and memory dependency lengths will improve model prediction performance. The model can adaptively select the memory kernel function and memory dependence length, and the performance of the model is better than other comparison models.

The model presented in this article has some limitations. The grey model is itself suitable for small sample data, and memory-dependent derivatives mainly consider the memory effect on a fixed length. Therefore, this model is mainly applicable to data prediction with short-term memory effect and has certain limitations on time series of long-term memory.

In practical systems, memory effects typically exhibit a decaying pattern, which is effectively characterized by the memory kernel function. The model in this study skillfully determines the appropriate kernel functions and memory dependency lengths to capture these memory effects, enhancing its alignment with real-world scenarios.

Based on the memory-dependent derivative method, a memory-dependent derivative grey Bernoulli model that more accurately reflects the actual memory effect is constructed and applied to power generation forecasting in China, South Korea and India.

This paper seeks to develop an efficient B‐spline Galerkin scheme for solving the Fisher's equation, which is a nonlinear reaction diffusion equation describing the relation between the diffusion and nonlinear multiplication of a species.

The solution domain is partitioned into uniform mesh and, using the quartic B‐spline functions, the Galerkin method is applied to the Fisher's equation.

The method yields stable accurate solutions. Obtained results are acceptable and in unison with some earlier studies.

Using the uniform mesh, quartic B‐spline Galerkin method is employed for finding the numerical solutions of Fisher's equation.

This paper aims to investigate post-buckling responses of shell-like structures using an implicit conservative-decaying time integration dynamic scheme.

In this work, the authors have proposed the use of a four-node quadrilateral flat shell finite element with drilling rotational degree of freedom within the framework of an updated Lagrangian formulation mutually with an implicit conservative-dissipative time integration dynamic scheme.

Several numerical simulations were considered to evaluate the accuracy, robustness, stability and the capacity of the considered time integration scheme to dissipate numerical noise in the presence of high frequencies. The obtained results illustrate a very satisfying performance of the implicit conservative-dissipative direct time integration scheme conjointly with the quadrilateral flat shell finite element with drilling rotation.

The authors have investigated the potential of the implicit dynamic scheme to deal with unstable branches after limit points in the non-linear post-buckling response of shell structures with no need for structural damping. The capability of the studied algorithm to study buckling and post-buckling behaviour of thin shell structures is illustrated through several numerical examples.

The purpose of this paper is to examine how decision-maker attributes unfold to precipitate organisational failure. The analysis brings to light how key attributes such as information-processing capabilities and human capital decay interact to bring about business decline and exit.

The study is based on an integrated review and conceptualisation of the literature.

The study articulates how a set of attributes of decision makers, i.e. human capital obsolescence, powerlessness, meaninglessness and institutional linkages, contributes to organisational failure.

The paper concludes by setting out an array of strategies of learning from others’ failures.

In spite of a growing body of research on organisational failure, scholars have placed overwhelming emphasis on ecological explanations and business failure prediction models. The study moves beyond the ecological explanations to offer a more fine-grained analysis of firm-level factors that precipitate business failure.