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The purpose of this paper is to study the effect of alignment of conductive particles on the piezoresistivity of composite based on a theoretical model. The piezoresistivity of composite is associated with the characteristics of conductive network formed by the conductive particles distributed in the composite, which can be changed through aligning the conductive particles.

The orientations of the tunnel resistors formed by each two adjacent conductive particles are dependent on the aligned level of the conductive particles, and different orientations induce different deformations for a tunnel resistor under external strain, which determines the piezoresistivity of the composites. To investigate the resistance behavior of composites with various characteristics of conductive networks, a piezoresistivity model is developed in this paper by considering the aligned level of conductive particles.

The results obtained from the proposed piezoresistivity model indicate that the sensitivity and stability of composites can be enhanced through aligning the conductive particles. Also, the piezoresistivity of composites filled with randomly distributed conductive particles is isotropic, and it turns to be anisotropic when the conductive particles are aligned.

The change and its mechanism of the piezoresistivity upon the aligned level of conductive particles have been pointed out in this paper based on the proposed model. The achievement of this paper will help the people understand, predict and optimize the piezoresistivity of composites, and provide a new approach to design a strain sensor based on the piezoresistivity.

Corrosion sensors and networks are the most effective techniques to obtain the corrosion information and recognize the corrosion status of reinforced concrete structures. However, reference electrode is the key element to provide the baseline for potential control of the corrosion monitoring sensors during corrosion measurement process. Therefore, the purpose of this paper is to provide the novel solid‐state reference electrode for the corrosion sensors.

A solid‐state Ag/AgCl reference electrode has been prepared. Furthermore, the performance of the reference electrode, such as stability, temperature response, anti‐polarization and influence of the concrete admixture, has been investigated.

The results indicate that the balance potential and the temperature coefficient of the reference electrode are 3.64±1mv (vs. SCE) at 25°C and −0.51 mv/°C±0.03 mv/°C, respectively. Furthermore, the polarization curve exhibits characteristics of three stages as the polarization current is in (−10μA/cm2,+10μA/cm2). Additionally, the reference electrode is insensitive to the concrete admixtures which include Na2SO4, NaCl, NaNO3 and NaNO2.

The research provides the key element for the corrosion monitoring sensors to integrate structural health monitoring system in future.

The purpose of this paper is to present a novel five‐electrode electrochemical corrosion sensor. Health degradation by the corrosion of steel in civil engineering is a persistent problem. Structural health monitoring (SHM) techniques, including embedded sensors, can greatly improve the quantification of the steel corrosion information, which can lead to promote assessments of structural safety and serviceability. To integrate the corrosion monitoring system in future, the corrosion sensor and the monitoring methods have been explored here in advance. Also, the corrosion monitoring system has been applied preliminarily in the investigation of reinforcing concrete (RC) beams.

First, a novel five‐electrode electrochemical corrosion sensor has been developed as the hardware to provide the platform for corrosion monitoring methods. Second, half‐cell potential of the RC beams has been measured before and after corrosion. Third, galvanostatic step method has been used to excite the steel‐concrete system, and the transient response of the system has been obtained and analyzed. Finally, wavelet transform algorithm has been established to analyze the electrochemical noise (EN) data of the steel bars in RC beams.

The results show that the corrosion sensor can be used effectively as the hardware to support the electrochemical measuring techniques. Much valuable information which is extracted by analyzing the potential response to the galvanostatic pulse excitation can be applied to determine the general corrosion state of the reinforcing steel. For pitting corrosion, the energy distribution plot of EN can be adopted as a benchmark method to identify the presence of the corrosion pit.

The paper provides the key techniques for a SHM system to realize corrosion monitoring of large‐scale RC structures in the future.

With the worldwide open government data (OGD) movement and frequent public health emergencies in recent years, academic research on OGD for public health emergencies has been growing. However, it is not fully understood how to promote OGD on public health emergencies. Therefore, this paper aims to explore the factors that influence OGD on public health emergencies.

The technology–organization–environment framework is applied to explore factors that influence OGD during COVID-19. It is argued that the effects of four key factors – technical capacity, organizational readiness, social attention and top-down pressure – are contingent on the severity of the pandemic. A unique data set was created by combining multiple data sources which include archival government data, a survey of 1,034 Chinese respondents during the COVID-19 outbreak and official COVID-19 reports.

The data analysis indicates that the four factors positively affect OGD, and pandemic severity strengthens the effects of technical capacity, organizational readiness and social attention on OGD.

This study provides theoretical insights regarding how to improve OGD during public health emergencies, which can guide government efforts in sharing data with the public when dealing with outbreak in the future.

Serendipitous information discovery has become a unique and important approach to discovering and obtaining information, which has aroused a growing interest for serendipity in human information behavior. Despite numerous publications, few have systematically provided an overview of current state of serendipity research. Consequently, researchers and practitioners are less able to make effective use of existing achievements, which limits them from making advancements in this domain. Against this backdrop, we performed a systematic literature review to explore the world of serendipity and to recapitulate the current states of different research topics.

Guided by a prior designed review protocol, this paper conducted both automatic and manual search for available studies published from January 1990 to December 2020 on seven databases. A total of 207 serendipity studies closely related to human information behavior form the literature pool.

We provide an overview of distinct aspects of serendipity, that is research topics, potential benefits, related concepts, theoretical models, contextual factors and data collection methods. Based on these findings, this review reveals limitations and gaps in the current serendipity research and proposes an agenda for future research directions.

By analyzing current serendipity research, developing a knowledge framework and providing a research agenda, this review is of significance for researchers who want to find new research questions or re-align current work, for beginners who need to quickly understand serendipity, and for practitioners who seek to cultivate serendipity in information environments.

The aim of this paper is to investigate the impact of knowledge sharing (KS) on firm performance and the mediating role of intellectual capital (IC).

A research model was developed based on prior KS and IC studies. A survey was administered to a sample of high technology firms in China and 228 usable responses were collected. Structural equation modeling (SEM) was employed to test the research model.

Tacit KS significantly was found to contribute to all three components of IC, namely human, structural and relational capital, while explicit KS only has a significant influence on human and structural capital. Human, structural and relational capital, enhance both operational and financial performance of firms. The effect of KS on firm performance is mediated by IC. Explicit KS has a greater effect on financial performance than operational performance, whereas tacit KS has a greater impact on operational performance than financial performance.

The sample of high technology firms in China might limit the generalization of the findings. Nonetheless, this study takes its lead from and extends prior research, thus providing a deepened understanding of the role of KS in organizational settings.

The paper suggests that managers can enhance firm performance by enhancing their KS and IC. Managers can develop corresponding strategies based on the findings to achieve their specific performance goals.

This is one of the first papers to examine how KS contributes to firm performance through the mediation of IC. It will add significant value for organizations trying to enhance their performance though KS practices.

Country of origin is a well-studied topic for developed countries that have a favourable image. However, how country of origin image affects the consumers of an emerging country on a frontier market with high uncertainty avoidance still needs to be shed light. Therefore, this study investigated the relationship of country of origin image with consumer purchase intention through consumer uncertainty. The study further explored the conditional effect of brand image between country of origin and consumer uncertainty.

The data for this study was collected from 400 Pakistani consumers. As this study assessed purchase intentions and consumer uncertainty related to high technology products of China, therefore, the consumers of the Huawei brand were selected.

The findings revealed a negative influence of country of origin image on consumer purchase intentions both directly and indirectly through consumer uncertainty. Furthermore, the positive brand image of high tech products was found to moderate the effect of country of origin image on consumer uncertainty.

This study is the first of its kind that explores the intervening role of consumer uncertainty between country of origin image and consumer purchase intention in an emerging market. In addition, the study highlights the importance of strong brand image as it buffers consumer uncertainty because of stereotypes.

The domain of monetary donation is evolving with the combination of professional donation platforms and social network sites (SNSs) in the agency process, potentially enhancing information communication and facilitating money transfers between donors and recipients. However, SNS donation avoidance hinders the leveraging of significant economic and social values. To address the limited understanding of the phenomenon of SNS donation avoidance, this study aims to investigate the influencing factors of people's avoidance behavior in the agency process of SNS donation.

A model was devised containing four process-related factors (requests overload, process ambiguity, channel security concerns and perceived distributive injustice) as antecedents of SNS donation avoidance, with probable mediating paths of negative emotions, altruistic outcome expectation and egoistic outcome expectation. Data were collected through a survey of 398 users of WeChat Moment in China. Structural equation modeling was used to analyze the proposed model.

All four process-related factors have positive associations with SNS donation avoidance. Requests overload, channel security concerns and perceived distributive injustice all positively influence people's expectation of negative emotions and lead, in turn, to their SNS donation avoidance. Perceived distributive injustice also leads to SNS donation avoidance via negatively influencing people's expectations of both altruistic and egoistic outcomes.

Theoretically, this empirical study synthetically associates process-related factors to donation avoidance through the paths of emotional responses and rational outcome expectations. Practically, it emphasizes key factors to consider in the process management of SNS donation.

The purpose of this paper is to examine the factors associated with user satisfaction in the social network sites (SNSs), and to explore the moderating effects of gender on user satisfaction.

A research model was built upon the expectation disconfirmation model (EDM) with a focus on SNSs specific motivations (i.e. relationship maintenance and entertainment). The model was tested empirically with 221 experienced Facebook users using an online survey.

The research model explained 40.5 percent of the variance in user satisfaction. In addition, the results showed that entertainment plays a more important role in determining user satisfaction with SNSs for male users, while relationship maintenance is more important in determining user satisfaction with SNSs for female users.

The current study enriched the theoretical understanding of user satisfaction in the context of SNSs. Particularly, perceptions and disconfirmations about the use of SNSs were identified and empirically tested. Furthermore, gender differences in terms of SNSs usage were empirically demonstrated.

The present study is one of the first few studies that attempts to explain user satisfaction with SNSs as well as examine the role of gender with a theoretical foundation. It complements the empirical research in the IS literature that addresses new social communication technologies.

The purpose of this paper is to present a buying process for the multichannel consumer (MCC) that starts at online information search and ends at the offline retail channel and then seeks to determine the universality of such behavior across countries.

A structured questionnaire was administered to MCCs from Russia, Singapore and the USA. The model was estimated using partial least square and country comparisons were conducted with a multi-group analysis.

The empirical results validated the conceptual model. In country comparisons, there is both converging (online information search) and diverging (retail store) MCCs’ behavior exhibiting nuanced differences.

Future research should examine values of MCCs at the individual level so as to increase the generalizability of the findings.

The convergence of MCCs information search behavior suggests that there is an opportunity for companies to standardize their online information strategy to educate global MCCs prior to their visiting brick and mortar stores. In-store salesperson remains important and effective for MCCs in the USA and Singapore, but not Russia.

A new conceptual framework that integrates economic and psychology theories is presented to depict the shift of control tilting in favor of MCCs in the buying process and introduces the concept of “reversal” information asymmetry in which consumers perceive to have more knowledge than the vendors.