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This study investigated the underlying influence mechanism between mHealth service quality (SQ) and users' adoption intention and compared the differences of consumer individual decision-making behaviors between the pre-adoption stage and the post-adoption stages.

This study built the pre-adoption and post-adoption models based on the stimulus-organism-response (S-O-R) model. Besides, this study collected 14,221 independent samples from 40 studies of pre-adoption intention to use and 12,876 independent samples from 36 studies of post-adoption intention to continue using and used meta-analysis structural equation modeling (MASEM) method to explore the formation of mHealth service quality influence on consumers toward adoption intention.

The results showed that (1) service quality positively trigger users' cognition response (i.e. perceived usefulness, perceived ease of use and perceived trust) and further positively drove the adoption and continuance intention; (2) there are similarities and differences in the relative importance of users' cognitive response between service quality and adoption intention at pre-adoption and post-adoption stages; (3) perceived trust (PTRU) played the most significant mediator in predicting users' adoption intention in both two stages; (4) perceived usefulness had a stronger influence than perceived ease of use (PEOU) on the adoption intention in pre-adoption while the result was just opposite in post-adoption stage.

This study could help service providers effectively allocate their limited resources to improve user adoption intention.

This study is the first one to open the black box of the underlying influence mechanisms between mHealth service quality and individual adoption intention in mHealth services and show differences in consumer decision-making according to the adoption stage. It provides a new perspective to the research in mHealth.

In the context of virtual brand communities (VBCs), based on self-determination theory and organizational binary learning (OBL) theory, this study investigates the direct and indirect effects of various dimensions of consumer participation (CP) on firm innovation performance (FIP) and the mediating role of OBL. By introducing the perspective of knowledge absorptive capacity (KAC), this study examines the moderating effect of KAC on the relationship between OBL and TIP.

In this study, 751 samples are collected from Chinese firms, and stratified adjusted regression analysis is used to conduct empirical tests.

Information provision or co-creation directly affects FIP; the latter is more significant than the former, while social interaction does not directly affect FIP. Exploitative or exploratory learning plays a mediating role in the relationship between information provision or co-creation and FIP. In contrast, exploratory learning plays a mediating role in the relationship between social interaction and FIP. KAC has a positive moderating effect on the relationship between exploitative learning or exploratory learning and FIP. When the firm has a low KAC, the improvement of FIP through exploratory learning is slight.

In VBCs, this study tries to divide the dimensions of CP. It also clarifies the mediating effect of OBL on CP and FIP. In addition, it explores the moderating effect of KAC on OBL and FIP. The conclusions of this study provide theoretical support and practical inspiration for firms to use VBCs to improve FIP.

The purpose of this paper is twofold: first, to explain whether consumer engagement in social media brand communities (SMBCs) motivates consumer brand loyalty; and second, to explore the antecedents of consumer engagement by developing a model based on personal engagement theory.

Online survey data from 279 brand community members of Weibo (one of the most popular social media websites in China) were used to test the proposed model. Structural equation modeling with partial least squares was performed to test both the measurement model and the structural model. A hierarchical multiple regression analysis was conducted to examine the interaction effects.

The findings show that three factors, namely, recognition, community identification and self-efficacy, had significant positive effects on consumer engagement in SMBCs, which consequently enhanced brand loyalty. Self-efficacy moderated the effects of both community identification and recognition on consumer engagement. The impacts of three factors on consumer engagement are contingent upon the type of SMBCs.

This study extends and advances the literature on consumer engagement by explaining consumer engagement in SMBCs from a new theoretical lens. This study also enriches personal engagement theory by investigating the effects of the interaction between different conditions of engagement. In addition, this study contributes to brand loyalty literature by providing empirical evidence of the impact of consumer engagement on brand loyalty. Finally, this study contributes to the online brand community study by introducing personal engagement theory into SMBC context, and examining the moderating role of SMBC types.

With the continuous development of Internet technology, virtual brand communities (VBCs) have increasingly become essential fronts for enterprises and consumers to carry out professional communication and the leading platform for consumers and other consumers to engage in social and brand discussion. Meanwhile, numerous scholars began to pay attention to VBCs as their research topic. However, there is no systematic understanding of the existing literature on the VBCs research. Therefore, this study aims to provide a comprehensive and systematic review of VBCs research over the past twenty years.

Based on HistCite and CiteSpace software, descriptive statistics and bibliometric analysis were conducted in this study. Specifically, by adopting research cooperation network analysis, co-citation analysis of literature, cluster analysis and co-word analysis, the authors analyzed 1,157 articles on VBCs in the Web of Science database from 2000 to 2020.

This study summarizes the research of VBCs from three aspects. First, the general characteristics of VBCs literature are analyzed. Second, knowledge bases, research contents, theoretical foundations and theoretical contributions of VBCs are dug and integrated into a knowledge framework. Third, the evolution and trend of VBCs research topics are visualized and analyzed in two phases (from 2005 to 2012 and from 2013 to 2020).

This study describes the research status, knowledge structure and famous topics of VBCs research over the past twenty years. Further, the research topics for VBCs have maintained continuity in the last twenty years. Furthermore, the research topics have also been evolving with the development of network technology and changes in the external environment. These results also provide valuable clues about this field's future directions and practical implications.

Recent development of wireless communication devices dictates that miniaturization, multi-functions and high integration are the important factors for antenna structures. This has resulted in the requirement of antennas with dual or multi-frequency operations. Although the dual-band antennas can be achieved through the experience-based configuration selection with the parameter adjustment, it is still a challenging problem to design an antenna with specific dual-frequency operations effectively. The purpose of the paper is to develop an effective design method to guide the design of antennas with specific dual-frequency operations.

The topology optimization is carried out through the material distribution approach, where the patch of the antenna is taken as the design domain. The optimization formulation is established with maximizing the minimum antenna efficiency at the target frequencies. The sensitivity of the antenna efficiency with the design variables is derived, and the optimization problem is solved by a gradient-based algorithm.

Based on the proposed design method, an example of a patch antenna design for specific dual-frequency operations is presented. The performance of the designed antenna is cross-verified by experimentation, where the reflection coefficients (S₁₁) obtained by simulation and experiment show a good agreement. The simulation and the experimentation of the designed antenna show that two operational bands are optimized to occur around the target frequencies, which confirms the effectiveness of the proposed design method.

This paper presents a topology optimization-based design method for patch antennas operating at dual specific frequencies.

The paper aims to propose a novel dual-stage shape memory alloy (SMA) actuated gripper (DAG), of which the grasp performance is improved through primary and secondary actuation.

This paper presents a method of integrating the design of dual-stage actuation modules based on the SMA bias actuation principle to enhance the grasping shape adaptability and force modulation of a DAG. The actuation angle range and grasping performance of the DAG are investigated by thermomechanical analysis and the finite element method based numerical simulation.

The results of present experiments and simulations indicate that the actuation angle scope of the DAG is about 20° under no load, which enables the grasping space occupied by an object in the DAG from 60 mm to 120 mm. The grasping force adjusted by changing the input power of the primary main actuation module and secondary fine-tuning actuation module can reach a maximum of 2 N, which is capable of grasping objects of various sizes, weights, shapes, etc.

The contribution of this paper is to design a DAG based on SMA, and establish the solution methods for the primary main actuation module and secondary fine-tuning actuation module, respectively. It lays a foundation for the research of lightweight and intelligent robotic grippers.