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The purpose of this paper is to apply trust perspective and attachment theory and determined that relational embeddedness, anxiety attachment, and avoidance attachment are major factors influencing the trust of tenants in owners/developers of shopping centers. The authors also examined whether tenants transfer this trust to new shopping center developers and the consequent effect on relational performance.

This research was empirically based on primary data collected from new shopping center developers and the consequent effect on relational performance. Structure equation modeling was employed to verify and validate the research model.

Data collected from 250 shopping center tenants were analyzed, and the findings indicate that relational embeddedness, anxiety attachment, and avoidance attachment positively affect the trust of store tenants in the owners or developers of shopping centers. Furthermore, the authors determined that trust in existing shopping center developers was transferred to new shopping center developers, which consequently enhanced relational performance.

The findings contribute to trust transfer research and provide actionable guidelines to organizations intending to provide intermediary business services.

This study aims to identify the factors of service recovery strategy that affect customer satisfaction. In addition, this study aims to explore the relationship between consumer satisfaction with service recovery and electronic word of mouth (e-WOM) in the online context.

A self-administered questionnaire is designed and administered through an online survey. This study evaluates the proposed framework through structural equation modeling with online survey data from 425 samples in the context of online buying.

The results show that explanation, effort, response speed, problem-solving and apology are the components predicting service recovery strategy. These factors have impacts on customer satisfaction with service recovery and also generate e-WOM about service recovery experiences. This study significantly contributes to not only practical insights but also the expansion of expectation confirmation theory and social exchange theory regarding online service failures.

Samples from non-internet shoppers are not collected because this study focuses on consumers referring to purchase online. Testing this conceptual model for other populations, such as non-online consumers, including the moderating effect of gender, age and education on the relationships proposed in the model may be an interesting extension. Moreover, this study does not distinguish different types of online retailers.

This study highlights the significant effect of customer satisfaction with service recovery on e-WOM. That is, managers should focus on not only making customers satisfied with their initial purchase but also enhancing customer satisfaction with service recovery in case the service failure occurs to encourage positive interaction among customers. This case will also improve the organizational image of a firm.

This study contributes to the identification of service recovery actions that focus on the roles of employees in dealing with service failures and their impacts on customer satisfaction in the online shopping context. In addition, the findings provide a greater understanding of the importance of customer satisfaction on e-WOM.

Combining the coping theory and social support theory, this study aims to reveal users' coping strategies for mobile fitness app (MFA) engagement and fitness intentions with a rigorous and comprehensive hybrid research approach.

A three-stage hybrid research design was employed in this study. In the first stage, this study utilized structural equation modeling (SEM) to investigate the associations between coping resources and coping outcomes. A post hoc analysis was conducted in the second stage to unveil the reasons behind the insignificant or weak linkages. In the third stage, the fuzzy-set qualitative comparative analysis (fsQCA) technique was applied to explore the various configurations of coping resources that lead to the coping outcomes.

The results in the three stages verify and compensate each other. The SEM results confirm the presence of two coping strategies in MFA, highlighting the importance of the intertwining of the strategies, and the post hoc analysis unveils the mediating role of positive affect. Moreover, the fsQCA results reinforce and complement the SEM findings by revealing eight alternative configurations that are sufficient for leading to users' MFA engagement and fitness intention.

This study offers a prominent methodological paradigm by demonstrating the application of multi-analysis in exploring users' coping strategies. In addition, the study also advances the understanding of the complexity of the mechanism that determines users' behavioral decisions by presenting a comprehensive interpretation.

For service providers, whether customers can act the role of partial employees when participating in the service production and delivery process is a subject that has been receiving conflicting explanations and has not been analysed empirically. The purpose of this study is to examine the relationship between customer participation and service providers' perceived workload. Empirical results of survey data collected from 293 customer‐contact employees at 64 restaurants in Taiwan indicate that customer participation is positively related to service providers' perceived workload, which implies that it is inappropriate to decrease the number of service employees based on service designs that include customer participation. Implications of these findings for managing customer participation, as well as future research directions, are subsequently discussed.

This article aims to construct a performance evaluation system for the e‐library in universities in Taiwan. The paper uses actual university cases as the target for analysis for in‐depth research so as to provide an evaluation reference.

This article reviewed the library performance evaluations found in the literature of the UK, Germany, USA and Taiwan and constructed primary performance evaluation indicators. The Delphi Method was then used to summarize the opinions of experts in completing the construction of a performance evaluation model for e‐library. With all the factors of e‐library, user satisfaction and input of libraries as the basis, Analytic Hierarchy Process is used to illustrate the problems and combine the two to establish the hierarchy structure for the performance evaluation of this research. The weights of all indicators within hierarchies are calculated and then the weight of the overall hierarchies are worked out.

The e‐library plays two important roles: data searching and academic study.

Using relevant e‐business data collected from libraries in six universities, combining indicator weight and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), this paper considers the distance of the universities from positive and negative Ideal Solutions as the evidence for ranking and demonstrate the overall performance of e‐libraries in all universities – providing future improvement directions for university libraries. The research can also provide important future decision‐making references for libraries and universities to enable better performances.

Emerging real‐time multimedia services over IP have penetrated into the daily lives of normal people with the advent of advanced broadband communications and innovated interconnection technologies. To protect shared Internet from unfairness and further congestion collapse, rate control plays a crucial role for many multimedia services such as streaming applications. Streaming applications such as video on demand (VoD) or voice over IP (VoIP) services face some critical problems such as insufficient bandwidth and improper performance of transmission protocols. Besides, the new generation networks are anticipated to integrate all heterogeneous wired and wireless networks and offer seamless customized multimedia services anywhere, anytime. However, wireless networks usually with low and variable bandwidth, and non‐congestion related loss do bring the challenge to the existing transport protocol, such as TCP, TFRC etc.

The paper uses simulations and compares other methods. The purpose of this paper is to address these issues. The paper, proposes a rate control scheme named Jitter‐based Rate Control (JRC) to fit wired‐wireless hybrid network which has better performance than the current rate control scheme.

Extensive simulations and comparisons with other methods verify the effectiveness of our method for accurate and smooth estimation, no matter whether the wireless links are located.

The paper introduces the JRC.

The inverse kinematics in robot manipulator have to handle the arctangent and arccosine function. However, the two functions are complicated and need much computation time so that it is difficult to be realized in the typical processing system. The purpose of this paper is to solve this problem by using Field Programmable Gate Array (FPGA) to speed up the computation power.

The Taylor series expansion method is firstly applied to transfer arctangent and arccosine function to a polynomial form. And Look-Up Table (LUT) is used to store the parameters of the polynomial form. Then the behavior of the computation algorithm is described by Very high-speed IC Hardware Description Language (VHDL) and a co-simulation using ModelSim and Simulink is applied to evaluate the correctness of the VHDL code.

The computation time of arctangent and arccosine function using by FPGA need only 320 and 420 ns, respectively, and the accuracy is <0.01°.

Fast computation in arctangent and arccosine function can speed up the motion response of the real robot system when it needs to perform the inverse kinematics function.

This is the first time such to combine the Taylor series method and LUT method in the computation the arctangent and arccosine function as well as to implement it with FPGA.

Building upon uses and gratifications (UG) theory and social exchange theory, the current study establishes a theoretical model to examine the underlying relationship between customer motivations, active participation and electronic word-of-mouth (e-WOM) and purchase intentions on WeChat.

The data were gathered in a web-based survey of 301 WeChat users in mainland China. To empirically verify the proposed hypotheses, confirmatory factor analysis (CFA) and structural equation modeling (SEM) were employed using online data.

Path analysis outcomes demonstrate that functional, hedonic and social motivations positively affect WeChat users' active participation. In addition, active participation significantly influences e-WOM intention while showing no correlation with purchase intention.

Theoretically, this article can enrich the extant system of relevant theories and offer a fresh perspective for further research on the generation of consumers' e-WOM intention and purchase intention in the WeChat context. Practically, the research outcomes provide insight for companies on how to motivate customers to participate in online activities, which subsequently improve WeChat users' willingness in conducting e-WOM communication and making purchase decisions.

Although mobile social media could serve as an influential marketing vehicle for individuals' engagement in social and commercial activities in today's mobile-matured environment, the substantial impact of active engagement on the relationship between customer motivation and purchase intention remains insufficiently explored. The outcomes not only contribute to the current body of knowledge, but also offer several managerial guidance for companies that pay attention to mobile social media marketing in a contemporary mobile media-saturated society.

Because quantile regression gets more popular and provides more comprehensive interpretations, it is important to advance quantile regression for forecasting. By extending the convention quantile regression, the purpose of this paper is to propose a quantile regression-forecasting model to forecast information and communication technology (ICT) development.

This paper proposes an approach to forecasting based on quantile regression method.

Via quantile information criterion, the proposed approach can identify whether the independent variables are predictable. For those which are predictable, the proposed approach can be used to forecast these variables.

The proposed approach is used to forecast ICT development. It can also be used to forecast other problem domains.

Based on the empirical results, the proposed approach advances the application of quantile regression model to forecast. The applicability of quantile regression model is greatly enhanced.

Video game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.

The proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.

The findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.

This study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.