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As opposed to conventional promotional methods, Word-of-Mouth (WOM) communication, especially when negative, significantly shapes customers’ repurchase decisions and preferences. Therefore, this study aims to examine the interplay between negative WOM and bank service failures, with a focus on the mediating role of customer switching intentions and the moderating role of switching costs in this relationship.

Using an online semi-structured questionnaire survey, a dataset comprising 411 responses was gathered from retail bank customers in China. This dataset was subsequently analyzed using SPSS PROCESS.

Consistent with the social exchange theory, our study revealed a significant relationship between service failure and both bank customers’ intention to switch and negative WOM communication. Additionally, we observed that switching intentions significantly influence negative WOM communications, acting as a mediator between service failures and negative WOM. Furthermore, our findings indicated that switching costs moderate the direct effect of service failures on negative WOM and moderate the indirect effect of service failures on negative WOM through switching intentions.

This study provides significant policy implications aimed at minimizing bank service failures and subsequent negative WOM communications among bank customers.

This study empirically investigates the role of service failures in promoting negative WOM communication, demonstrating a partial mediation effect of switching intentions in this relationship. Moreover, the study highlights that switching costs moderate service failures’ impact on customers’ switching intentions.

Banks' service failures are a major determinant of bank customers' switching behavior, which ultimately affects the profitability and stability of banks. Guided by the expectancy violation theory (EVT), this study aims to examine whether and how bank reputation influences the relationship between service failure and customers' switching behavior in the Malaysian banking industry.

By distributing questionnaires to Malaysian bank account holders, the authors gathered 320 usable responses, which were subsequently subjected to explanatory factor analysis, confirmatory factor analysis, Logit regression, Probit regression and independent-variables T-test to identify and elucidate the relationship existent between the dependent and independent variables.

This study discovered that bank reputation affects the bank customers' switching behavior directly and indirectly via banks' service failure, thereby verifying the application of EVT in the context of customer management.

Although the profile of respondents in this study presents a reasonable representation of the Malaysian population, the use of convenience (non-probability) sampling method via online survey may not provide generalizable results.

This study empirically revealed that bank reputation plays a moderator role between service failure in banks and customers' bank-switching behavior. This observation offers useful insights to bank managers into the role of bank reputation in managing customers' switching behavior.

The development and maintenance of a long-term relationship with customers are essential for banks to bolster their profits and thrive in a competitive environment. This study aims to explore the key factors that influence individuals' bank-switching behavior in the Malaysian retail banking industry to provide insights to bank managers to develop effective customer retention strategies.

A convenient sampling technique was used to distribute questionnaires to bank customers in Malaysia. A total of 312 utilizable questionnaires were obtained for further analysis. For the data analysis, the authors used explanatory factor analysis (EFA), confirmatory factor analysis (CFA) and logit and probit models to identify the determinants of bank-switching behavior of bank customers in Malaysia.

This study revealed that switching costs, effective advertising from competitors, inconvenience, price factor and service failures significantly influence customers' retail bank-switching behavior in the Malaysian context. The findings bring some significant policy implications for bank management decisions.

The non-probability, convenience online sampling method may not be generalized to the population. However, the descriptive demographic statistics show that the findings provide a reasonable representation of the Malaysian population.

This study empirically investigates the determinants of individual customers' retail bank-switching behavior in the Malaysian context. This study is the first of its kind to observe the unique feature of price factor as a determinant of individual customers' switching behavior in the Malaysian retail banking industry, contrasting previous similar studies in different countries.

Resilience concepts in integrated urban transport refer to the performance of dealing with external shock and the ability to continue to provide transportation services of all modes. A robust transportation resilience is a goal in pursuing transportation sustainability. Under this specified context, while before the perturbations, robustness refers to the degree of the system’s capability of functioning according to its design specifications on integrated modes and routes, redundancy is the degree of duplication of traffic routes and alternative modes to maintain persistency of service in case of perturbations. While after the perturbations, resourcefulness refers to the capacity to identify operational problems in the system, prioritize interventions and mobilize necessary material/ human resources to recover all the routes and modes, rapidity is the speed of complete recovery of all modes and traffic routes in the urban area. These “4R” are the most critical components of urban integrated resilience.

The trends of transportation resilience's connotation, metrics and strategies are summarized from the literature. A framework is introduced on both qualitative characteristics and quantitative metrics of transportation resilience. Using both model-based and mode-free methodologies that measure resilience in attributes, topology and system performance provides a benchmark for evaluating the mechanism of resilience changes during the perturbation. Correspondingly, different pre-perturbation and post-perturbation strategies for enhancing resilience under multi-mode scenarios are reviewed and summarized.

Cyber-physic transportation system (CPS) is a more targeted solution to resilience issues in transportation. A well-designed CPS can be applied to improve transport resilience facing different perturbations. The CPS ensures the independence and integrity of every child element within each functional zone while reacting rapidly.

This paper provides a more comprehensive understanding of transportation resilience in terms of integrated urban transport. The fundamental characteristics and strategies for resilience are summarized and elaborated. As little research has shed light on the resilience concepts in integrated urban transport, the findings from this paper point out the development trend of a resilient transportation system for digital and data-driven management.

The purpose of this paper is to introduce a simplified method to do the mobility management in the low earth orbit (LEO) system. With experimentations, the method is thereafter evaluated.

The approach is introduced to implement the distance‐based strategy by using the coordinates. The users update their coordinates to the networking and the system computers which satellite and which beam can cover the user being called at real time.

In managing the location of mobile users in mobile communication systems, the distance‐based strategy has been proven to have better performance than other dynamic strategies, but difficult to implement. The approach introduced in this paper implements the distance‐based strategy by using the coordinates.

This method makes full use of the characters of the LEO system and refutes the apparent weakness that location management area is restricted by the establishment on the ground. The simulation result proves that this method is efficient.

The authors consider a variety of cryptocurrency and equity risk factors as potential forces that drive cryptocurrency returns and carry risk premiums. In a cross-section of 2,000 biggest cryptocurrencies during 2014–2020, only downside market risk, cryptocurrency size and cryptocurrency policy uncertainty factors are systematically priced with significant premiums. Cryptocurrencies, which have greater exposures to these factors, yield higher returns subsequently. Equity market risk, particularly equity downside market risk, appears to be more important than cryptocurrency market risk, suggesting greater linkages between cryptocurrency and equity markets than we used to think. Global and the US equity factors are more relevant for the cryptocurrency market than local factors from other markets. However, there is no evidence that exposure to momentum, volatility and Fama–French factors is compensated by higher returns.

The purpose of this paper is to develop a health monitoring system that can measure human vital signs and recognize human activity based on body sensor network (BSN).

The system is mainly composed of electrocardiogram (ECG) signal collection node, blood oxygen signal collection node, inertial sensor node, receiving node and upper computer software. The three collection nodes collect ECG signals, blood oxygen signals and motion signals. And then collected signals are transmitted wirelessly to receiving node and analyzed by software in upper computer in real-time.

Experiment results show that the system can simultaneously monitor human ECG, heart rate, pulse rate, SpO₂ and recognize human activity. A classifier based on coupled hidden Markov model (CHMM) is adopted to recognize human activity. The average recognition accuracy of CHMM classifier is 94.8 percent, which is higher than some existent methods, such as supported vector machine (SVM), C4.5 decision tree and naive Bayes classifier (NBC).

The monitoring system may be used for falling detection, elderly care, postoperative care, rehabilitation training, sports training and other fields in the future.

First, the system can measure human vital signs (ECG, blood pressure, pulse rate, SpO₂, temperature, heart rate) and recognizes some specific simple or complex activities (sitting, lying, go boating, bicycle riding). Second, the researches of using CHMM for activity recognition based on BSN are extremely few. Consequently, the classifier based on CHMM is adopted to recognize activity with ideal recognition accuracies in this paper.

The purpose of this paper is to identify if the implementation of ultrasonic vibration in laser engineered net shaping (LENS) process can help to reduce internal weaknesses such as porosity, coarse primary TiB whisker and heterogeneous distribution of TiB reinforcement in the LENS-fabricated TiB reinforced Ti matrix composites (TiB-TMC) parts.

An experimental investigation is performed to achieve the results for comparative studies under different fabrication conditions through quantitative data analysis. An approach of microstructural characterization and mechanical testing is conducted to obtain the output attributes. In addition, the theoretical analysis of the physics of ultrasonic vibration in the melting materials is presented to explain the influences of ultrasonic vibration on the microstructural evolution occurred in the part fabrication.

Because of the nonlinear effects of acoustic streaming and cavitation induced by ultrasonic vibration, porosity is significantly reduced and a relatively small variation of pore sizes is achieved. Ultrasonic vibration also causes the formation of smaller TiB whiskers that distribute along grain boundaries with a homogeneous dispersion. Additionally, a quasi-continuous network (QCN) microstructure is considerably finer than that produced by LENS process without ultrasonic vibration. The refinements of both reinforcing TiB whiskers and QCN microstructural grains further improve the microhardness of TiB-TMC parts.

The novel ultrasonic vibration-assisted (UV-A) LENS process of TiB-TMC is conducted in this work for the first time to improve the process performance and part quality.

Straightness measurement of rail weld joint is of essential importance to railway maintenance. Due to the lack of efficient measurement equipment, there has been limited in-depth research on rail weld joint with a 5-m wavelength range, leaving a significant knowledge gap in this field.

In this study, the authors used the well-established inertial reference method (IR-method), and the state-of-the-art multi-point chord reference method (MCR-method). Two methods have been applied in different types of rail straightness measurement trollies, respectively. These instruments were tested in a high-speed rail section within a certain region of China. The test results were ultimately validated through using traditional straightedge and feeler gauge methods as reference data to evaluate the rail weld joint straightness within the 5-m wavelength range.

The research reveals that IR-method and MCR-method produce reasonably similar measurement results for wavelengths below 1 m. However, MCR-method outperforms IR-method in terms of accuracy for wavelengths exceeding 3 m. Furthermore, it was observed that IR-method, while operating at a slower speed, carries the risk of derailing and is incapable of detecting rail weld joints and low joints within the track.

The research compare two methods’ measurement effects in a longer wavelength range and demonstrate the superiority of MCR-method.

The purpose of this paper is to design a stable controller such that the control input is applied to the delta-wing aircraft in order to adjust the roll dynamics. The controller must provide a desired tracking performance with minimum tracking error.

In this paper, the second level adaptation (SLA) strategy is applied to control a delta-wing aircraft using multiple models. The implemented control structure is compared with the first level adaptation (FLA) and model reference adaptive control (MRAC) techniques.

SLA architecture not only copes with a wide uncertainty domain caused by aerodynamic effects, but also its rapid and accurate convergence is one of its most important features. Furthermore, this strategy makes a smoother control signal with respect to FLA and MRAC even at the same initial times. It should be also noted that SLA using three models, copes with uncertainty that may occur to the aircraft at high Angle Of Attacks (AOAs) at the entire flight envelope.

In this paper for the first time the application of this strategy is used to identify and control a delta-wing aircraft. Furthermore a systematic block diagram approach is proposed for the design.