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Hinged on the transformative service paradigm, this study investigates the relationships among employee acting, customer-perceived service quality, customer emotional well-being, and their value co-creation. Feelings of gratitude among customers may moderate the effect of perceived service quality on their emotional well-being (i.e., positive and negative affects).

A pair study using a structural equation model was conducted to gather data from a financial service organization in a rural area.

The results show how customers perceive service quality positively impacts their emotional well-being immediately after receiving a financial service, which in turn affects their value co-creation. Hence, feelings of gratitude moderate the effect of perceived service quality on customer positive affect.

This study responds to calls for more studies on how service interactions influence customer well-being in the financial services context. This study is among the few that examine moderation effects of customer feelings of gratitude on their emotional well-being to explain why a positive emotion might sway their short-term well-being.

Telecommunication (telecom) fraud is one of the most common crimes and causes the greatest financial losses. To effectively eradicate fraud groups, the key fraudsters must be identified and captured. One strategy is to analyze the fraud interaction network using social network analysis. However, the underlying structures of fraud networks are different from those of common social networks, which makes traditional indicators such as centrality not directly applicable. Recently, a new line of research called deep random walk has emerged. These methods utilize random walks to explore local information and then apply deep learning algorithms to learn the representative feature vectors. Although effective for many types of networks, random walk is used for discovering local structural equivalence and does not consider the global properties of nodes.

The authors proposed a new method to combine the merits of deep random walk and social network analysis, which is called centrality-guided deep random walk. By using the centrality of nodes as edge weights, the authors’ biased random walks implicitly consider the global importance of nodes and can thus find key fraudster roles more accurately. To evaluate the authors’ algorithm, a real telecom fraud data set with around 562 fraudsters was built, which is the largest telecom fraud network to date.

The authors’ proposed method achieved better results than traditional centrality indices and various deep random walk algorithms and successfully identified key roles in a fraud network.

The study used co-offending and flight record to construct a criminal network, more interpersonal relationships of fraudsters, such as friendships and relatives, can be included in the future.

This paper proposed a novel algorithm, centrality-guided deep random walk, and applied it to a new telecom fraud data set. Experimental results show that the authors’ method can successfully identify the key roles in a fraud group and outperform other baseline methods. To the best of the authors’ knowledge, it is the largest analysis of telecom fraud network to date.

This research attempts to evaluate the effects of personal innovativeness and the perceived value of disclosure on the hierarchical nature of privacy concerns under the contingency of self-control when using proximity Bluetooth-beacon technology (PBBT) service in proximity marketing.

The field study takes place in areas where PBBT service is installed in Taipei, Taiwan. A quota sampling approach is used, with 401 qualified respondents participating. The data are analyzed using the partial least square method.

The results confirm the importance of personal innovativeness and perceived value of disclosure as an important determinant to influence privacy concerns about data collection. It is also found that self-control plays a negative moderating role in these two relationships. Moreover, data collection is found to be a fundamental concern leading to other privacy concern facets.

This research represents a pioneer work in proximity marketing regarding how privacy concerns are influenced and how privacy concerns facets are causal-related when using a PBBT platform. More detailed, conditional insight is given as the research is studied under the contingency of self-control. A set of applicable guidelines with empirical evidence is thus provided.

The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This study examined critical factors affecting air freight forwarders’ decision to adopt the IATA e-freight using a technology-organization-environment model with air freight forwarders in Taiwan as the base. Our findings show that ‘information technology (IT) competence’, ‘trading partner pressure’, ‘government policy’ and ‘competitive pressure’ all have significant positive effects on air freight forwarders’ decision to adopt the e-freight and the top three factors among these are ‘government funding’, ‘government’s active promotion’ and ‘government’s requirement of electronic air waybill (e-AWB)’. Finally, this study proposes strategies that can encourage air freight forwarders to decide on e-freight adoption for the information of relevant oK regyawniozradtison International Air Transport Association (IATA); IATA e-freight; Technology organization environment model; Air freight forwarder

This paper aims to investigate the temperature and wear properties of vertical ball screws and to discuss the surface design of ball screws in industrial applications.

The energy equation of the screw surface considering the frictional heat was established to verify the surface temperature of the ball screw. X-ray diffraction was used to examine the micro-contact temperature between the ball and screw. Debris size and density were examined to investigate wear properties of ball screws and to study the relationship of wear debris and temperature.

First, the main energy source for the surface temperature of high speed vertical ball screws is derived from friction force between ball and screw. Second, the temperature rise between the ball and screw has great relevance with wear debris concentration. Third, the surface temperature of the screw is higher than between the nut and ball for high speed vertical ball screws due to high convection heat transfer. The contact temperature of the nut near the flange is smaller than that of the nut away from the flange end due to the high contact load and thermal conduction. Finally, correlation of particle size and surface roughness value for vertical ball screws was established, and its effects on contact temperature were studied. The theoretical analysis and experiments will help to characterize the design and manufacture of vertical ball screws.

The surface temperature and micro-contact temperature analytical model were established to study the ball screw design. Based on the surface-particle micro-contact temperature balance, the optimal range of surface roughness was designed for vertical ball screws, considering the wear debris and micro-contact temperature.

The purpose of this paper is to propose a two-degrees-of-freedom wire-driven 4SPS/U rigid‒flexible parallel trunk joint mechanism based on spring, in order to improve the robot’s athletic ability, load capacity and rigidity, and to ensure the coordination of multi-modal motion.

First, based on the rotation transformation matrix and closed-loop constraint equation of the parallel trunk joint mechanism, the mathematical model of its inverse position solution is constructed. Then, the Jacobian matrix of velocity and acceleration is derived by time derivative method. On this basis, the stiffness matrix of the parallel trunk joint mechanism is derived on the basis of the principle of virtual work and combined with the deformation effect of the rope driving pair and the spring elastic restraint pair. Then, the eigenvalue distribution of the stiffness matrix and the global stiffness performance index are used as the stiffness evaluation index of the mechanism. In addition, the performance index of athletic dexterity is analyzed. Finally, the distribution map of kinematic dexterity and stiffness is drawn in the workspace by numerical simulation, and the influence of the introduced spring on the stiffness distribution of the parallel trunk joint mechanism is compared and analyzed. It is concluded that the stiffness in the specific direction of the parallel trunk joint mechanism can be improved, and the stiffness distribution can be improved by adjusting the spring elastic structure parameters of the rope-driven branch chain.

Studies have shown that the wire-driven 4SPS/U rigid‒flexible parallel trunk joint mechanism based on spring has a great kinematic dexterity, load-carrying capacity and stiffness performance.

The soft-mixed structure is not mature, and there are few new materials for the soft-mixed mixture; the rope and the rigid structure are driven together with a large amount of friction and hindrance factors, etc.

It ensures that the multi-motion mode hexapod mobile robot can meet the requirement of sufficient different stiffness for different motion postures through the parallel trunk joint mechanism, and it ensures that the multi-motion mode hexapod mobile robot in multi-motion mode can meet the performance requirement of global stiffness change at different pose points of different motion postures through the parallel trunk joint mechanism.

The trunk structure is a very critical mechanism for animals. Animals in the movement to achieve smooth climbing, overturning and other different postures, such as centipede, starfish, giant salamander and other multi-legged animals, not only rely on the unique leg mechanism, but also must have a unique trunk joint mechanism. Based on the cooperation of these two mechanisms, the animal can achieve a stable, flexible and flexible variety of motion characteristics. Therefore, the trunk joint mechanism has an important significance for the coordinated movement of the whole body of the multi-sport mode mobile robot (Huang Hu-lin, 2016).

In this paper, based on the idea of combining rigid parallel mechanism with wire-driven mechanism, a trunk mechanism is designed, which is composed of four spring-based wire-driven 4SPS/U rigid‒flexible parallel trunk joint mechanism in series. Its spring-based wire-driven 4SPS/U rigid‒flexible parallel trunk joint mechanism can make the multi-motion mode mobile robot have better load capacity, mobility and stiffness performance (Qi-zhi et al., 2018; Cong-hao et al., 2018), thus improving the environmental adaptability and reliability of the multi-motion mode mobile robot.

With the current developments within the sphere of Internet of Things (IoT) technology, many conventional articles are all being fitted with smart functionalities, ranging from chairs, beds, shoes and caps to underwear. Bags which are utility as well as fashion items have not been left out of this smart craze, albeit to a less popular degree. The purpose of this study is to fill the research gap on the subject of smart bags research and applications and to contribute to the general discourse on IoT.

This study adopts literature search and database review, concept mapping as well as synthesis methodologies. Relevant literature form databases such as Web of Science, Google Scholar and Bing Scholar were interrogated. Manual sifting was done to eliminate papers that do not fit the set inclusion criteria. Literature on smart bags was organized into structured frameworks using concept mapping methodology. Applying a synthesis methodology enabled an exploration of the different technological trends in smart bag research and their areas of application.

The study identified about 15 different smart bag applications and functionalities. Discussed in this study is a classification of bags based on a number of points such as way of carrying, size, utility and fabrication materials. Also discussed are the description of what constitute a smart bag, relevant technologies for smart bag design and engineering and subsequently the current trends in smart bag applications. This study also discovered that the air travel industry tend to have some difficulties with this smart bag technologies, specifically with their built-in batteries.

The results of this study will provide researchers and other stakeholders with key information about existing problems and opportunities in smart bag research and applications. This will go a long way to help in guiding future research as well as policymaking in smart bag design and application.

To the best of the authors’ knowledge, this is the first review on the subject of smart bags even though smart bag research and commercial product design continue to gain momentum in recent years.

The purpose of this paper is to demonstrate a deeper understanding about the reasons behind difference in previous studies’ results in the field of audit quality determinants.

A meta-analysis method is employed in which 52 studies including 40 international studies from authentic scientific articles during the year 2000–2015 and 12 national studies out of authentic national scientific articles from 2001 to 2015 are taken to account as sample studies. Audit firm size, auditor tenure and auditor specialization are set as independent variables and audit quality is the only dependent variable in the current paper.

The results indicate that audit firm size and auditor specialization are positively associated with audit quality. In other words, contracting with larger audit firm and specialized auditor results in delivering higher quality audit services.

The current study is the first study to be conducted in the field of audit quality determinants. The results may be beneficial both for standard setters as well practitioners in a way that it provides evidence that contributes to basis policy and audit-standard makers about domination and determinants of audit quality.

The purpose of this paper is to empirically test the predictions in Titman (1984) and Berk et al. (2010) which indicate that firms with higher leverage will pay chief executive officer (CEO) and employee more. In addition, this paper examines whether financial distressed firms utilize leverage as a bargaining tool to reduce labor costs.

This paper conducts ordinary least squares regression analysis to investigate: CEO compensation which represents critical employees and lower-level employee compensation which represents less critical employees. Empirical data consist of US publicly held companies during the period between 2006 and 2013.

This paper finds that firms with higher levels of leverage tend to compensate employees for their human capital risk and that financially distressed firms consider leverage a bargaining tool by which to depress labor costs, which leads to lower employee compensation as compared to that of financially healthy firms.

This paper highlights the importance of keeping balance between human capital and labor costs. In the case that human capital risk might not be fully compensated by firms facing financial distress, vicious cycle could occur because a failure of considering human capital might invite unrecoverable consequence. This could be done in future research.

This paper has three contributions. First, this paper supports the Titman (1984) and Berk et al. (2010) by empirically documenting that high-leveraged firms compensate their employees for potential human capital risk. Second, this paper adds to the literature by empirically providing that human capital risk might not be fully compensated if the firms are facing financial distress. Finally, this paper contributes to the authorities by showing that employees’ interests may be sacrificed if the firm is under financial distress.