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The impact of destination reputation on tourists’ behavior has not received sufficient attention in the tourism literature. Built upon the signaling theory and the well-documented stimulus-organism-response framework, the purpose of this paper is to propose and assess a theoretical model that captures relationships among destination reputation, place attachment, tourist satisfaction, and the search for alternative destinations.

Using the covariance-based structural equation modeling technique, this study empirically tested the conceptual model with a convenience sample of Chinese tourists who visited a popular coastal urban tourism destination in China.

Findings reveal that destination reputation positively impacts perceived place dependence, place identity, and tourist satisfaction. In addition, place dependence positively affects tourist satisfaction, but place identity has no significant impact on tourist satisfaction. As expected, tourist satisfaction negatively influences tourists’ search for alternative destinations; however, place identity positively influences tourists’ search for alternative destinations.

Few studies in the tourism literature explore the role of destination reputation in the tourist decision-making process. The present study’s unique contribution lies in its examination of destination reputation on tourists’ behavior. In addition, this study includes the search for alternative destinations as an important behavioral outcome into the proposed model. Some tourists explore alternative destinations even though they are willing to revisit and spread positive messages about the destination they already visited. Therefore, the continuous searching behavior is worthy of investigation in tourism studies.

The purpose of this paper is to provide a cross-cultural comparison of Chinese and American hospitality customers who report critical incidents and the resulting influences that these incidents and recovery efforts had on behavior. Recognizing that hospitality-based organizations are increasingly operating internationally, the study provides insights for managing customer relationships.

The study utilizes the critical incident technique in conjunction with a structured self-administered questionnaire. The sampling approach resulted in 1,146 usable responses.

The results demonstrate statistically significant cultural differences between American and Chinese consumers in terms of reported critical incident types, recovery approaches, and post-incident private voice, public voice, and repurchase intention.

This research uses cultural value scores for China and the USA as a way to explain and discuss the findings. Hofstede's model was not tested and the provided explanations should be viewed with caution.

The results of this research can provide practitioners with guidelines in regards to service recovery tactics, as well as insights into how customers respond to critical incidents across different cultures.

This study adds to the existing literature by investigating empirically critical incident types, recovery tactics, and the consumer post-encounter behaviors of public voice (i.e. complaining), private voice (i.e. negative word-of-mouth, positive word-of-mouth), and repurchase intention in China and the USA.

The purpose of this paper is to study the interrelationships among grocery store image, travel distance (TD), customer satisfaction, and behavioral intentions (BI) in a college town setting.

Surveys are given to undergraduate college student grocery shoppers in a Midwest college town. The 400 usable questionnaires are randomly divided into two parts: one subsample was used for exploratory factor analysis while the other (larger) subsample was used for confirmatory factor analysis and subsequently the structural path analysis.

Grocery store image is identified as a second‐order construct reflected by the three key components of merchandise attributes (MEA), store ambience and service (SAS), and marketing attractiveness (MGA). Although store image is an important driver of BI, its indirect effect through customer satisfaction is found to be substantially greater than its direct effect on BI. Interestingly, TD is positively related to satisfaction, which highlights the possibility for retailers to overcome the distance disadvantage.

As few studies have attempted to characterize the US grocery market in terms of the reasons for their choice, this exploratory study is unique because it investigates grocery shopping behavior in a traditional American college town. Specifically, the distinctive market factors (e.g. the relative scarcity of grocery retailers, their distance from campus, and the mix of grocer types in or around the Midwest college town) add value and contribute to the retailing literature.

The type 120 emergency valve is an essential braking component of railway freight trains, but corresponding diaphragms consisting of natural rubber (NR) and chloroprene rubber (CR) exhibit insufficient aging resistance and low-temperature resistance, respectively. In order to develop type 120 emergency valve rubber diaphragms with long-life and high-performance, low-temperatureresistant CR and NR were processed.

The physical properties of the low-temperature-resistant CR and NR were tested by low-temperature stretching, dynamic mechanical analysis, differential scanning calorimetry and thermogravimetric analysis. Single-valve and single-vehicle tests of type 120 emergency valves were carried out for emergency diaphragms consisting of NR and CR.

The low-temperature-resistant CR and NR exhibited excellent physical properties. The elasticity and low-temperature resistance of NR were superior to those of CR, whereas the mechanical properties of the two rubbers were similar in the temperature range of 0 °C–150 °C. The NR and CR emergency diaphragms met the requirements of the single-valve test. In the low-temperature single-vehicle test, only the low-temperature sensitivity test of the NR emergency diaphragm met the requirements.

The innovation of this study is that it provides valuable data and experience for future development of type 120 valve rubber diaphragms.

High-rise tower structures supported by side frame structure and viscous damper in chemical industry can produce plasticity under dynamic loads, such as wind and earthquake, which will heavily influence the long-term safety operation. This paper aims to systematically study the optimization design of these structures by free vibration and dynamic shakedown analysis.

The transfer matrix method and Euler–Bernoulli beam vibration are used to study the free vibration characteristic of the simplified high-rise tower structure. Then the extended stress compensation method is used to construct the self-equilibrated stress by using the dynamic load vertexes and the lower bound dynamic shakedown analysis for the structure with viscous damper. Using the proposed method, comprehensive parametric studies and optimization are performed to examine the shakedown load of high-rise tower with various supported conditions.

The numerical results show that the supported frame stiffness, attached damper or spring parameters influence the free vibration and shakedown characters of high-rise tower very much. The dynamic shakedown load is lowered down quickly with external load frequency increasing to the fundamental natural frequency of the structure under spring supported condition, while changed little with the damping connection. The optimized location and parameter of support are obtained under dynamical excitations.

In this study, the high-rise tower structure is simplified as a cantilever beam supported by a short cantilever beam and a damper under repeated dynamic load, and linear elasticity for solid is assumed for free vibration analysis. The current analysis does not account for effects such as large deformation, stochastic external load and nonlinear vibration conditions which will inevitably be encountered and affect the load capacity.

This study provides a comprehensive method for the dynamical optimization of high-rise tower structure by combining free vibration and shakedown analysis.

The safety assessment of engineering structures under repeated variable dynamic loads such as seismic and wind loads can be considered as a dynamic shakedown problem. This paper aims to extend the stress compensation method (SCM) to perform lower bound dynamic shakedown analysis of engineering structures and a double-closed-loop iterative algorithm is proposed to solve the shakedown load.

The construction of the dynamic load vertexes is carried out to represent the loading domain of a structure under both dynamic and quasi-static load. The SCM is extended to perform lower bound dynamic shakedown analysis of engineering structures, which constructs the self-equilibrium stress field by a series of direct iteration computations. The self-equilibrium stress field is not only related to the amplitude of the repeated variable load but also related to its frequency. A novel double-closed-loop iterative algorithm is presented to calculate the dynamic shakedown load multiplier. The inner-loop iteration is to construct the self-equilibrated residual stress field based on the certain shakedown load multiplier. The outer-loop iteration is to update the dynamic shakedown load multiplier. With different combinations of dynamic load vertexes, a dynamic shakedown load domain could be obtained.

Three-dimensional examples are presented to verify the applicability and accuracy of the SCM in dynamic shakedown analysis. The example of cantilever beam under harmonic dynamic load with different frequency shows the validity of the dynamic load vertex construction method. The shakedown domain of the elbow structure varies with the frequency under the dynamic approach. When the frequency is around the resonance frequency of the structure, the area of shakedown domain would be significantly reduced.

In this study, the dynamical response of structure is treated as perfect elastoplastic. The current analysis does not account for effects such as large deformation, stochastic external load and nonlinear vibration conditions which will inevitably be encountered and affect the load capacity.

This study provides a direct method for the dynamical shakedown analysis of engineering structures under repeated variable dynamic load.

The purpose of this paper is to build a seven‐degrees of freedom (DOF) parallel‐serial robot system which has the advantage of mechanical novelty and simplicity compared with the existing platforms, and to share the experience of converting a popular motion base to an industrial robot for use in full‐mission tank training processes of three armored arms.

By studying the concept of the robot system, a novel parallel‐serial robot with seven DOF driven by electrical servo motors is built. And the transmission modules and Hooke joints are explored and designed in detail. Then the inverse kinematics based on coupling compensation and time‐jerk synthetic optimization methods for trajectory planning of the simulator are presented and further discussed in order to satisfy the requirements of high stability and perfect performance. In advance, the feasibility and applicability of this triune parallel‐serial robot system are verified.

A prototyped test shows that the performance of the system is of a satisfaction with real‐time tracking any trajectories given by the visual system smoothly. Finally, the characteristics of the robot system are realized and verified by experiments and an industrial application.

The triune full‐mission tank training simulator developed in this paper has been used in the military industry and it has a great potential application.

This successful usage of the novel and simple parallel robot system in the military industry expands the range of its applications in real‐life task more operators training. And the proposal methods of inverse kinematics based on coupling compensation and trajectory planning enhanced the theoretical research of the parallel robot.