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The purpose of this study is to examine the lasting effect of reproductive behaviour on career cycles for women. Women are the main bearers of population reproduction and family division of labour and a source of innovation for social and economic construction. However, few studies have used a comprehensive theoretical framework to research why female employees suffer from employment exclusion (EE) after multiple births. Therefore, structured equation modelling is used to test the degree of fit between the theoretical model and the data, to verify whether the hypotheses are valid and then make an appropriate interpretation of the theoretical model.

The paper focusses on working mothers with two or more children and is based on questionnaire surveys, with 306 pieces of primary data obtained. This paper constructed the chained mediation model on the theoretical basis of the conservation of resources theory to examine and analyse the mechanisms of family–work conflict (FWC) and human capital depreciation (HCD) on EE.

Empirical results suggested that FWC has a significant positive impact on EE, while HCD does not. Chain mediation variables of family orientation (FO) and work engagement (WE) mediated the relationship between FWC and EE significantly, as well as between HCD and EE. Each antecedent positively predicted FO and, through FO, indirectly affected WE, then indirectly affected EE.

In the context of fertility policy adjustment and population structural imbalance, research from the perspective of females may better reflect reality and deepen understanding of EE to avoid it.

Frist, relevant studies mostly study the factors affect in women’s equal employment from the macro levels, and focus on qualitative research, and lack sufficient empirical analysis. Second, this study locates the research object in the group of working mothers with two or more children. The focus of the research objects makes the research conclusions help to improve the work dilemma of special groups. Third, this study has opened up the “black box” between employees’ individual resources and work attitudes and behavior tendencies. Fourth, this study expands the possible outcome variables of FWC.

Although the impacts of trust on information disclosure have been well recognized, the trust building mechanisms in social media are still underexplored. To fill this gap, the purpose of this paper is to explore two trust building mechanisms, namely, institution-based and transference-based trust building and identify how these two mechanisms vary across gender.

An online survey was conducted to collect data. The partial least squares method was used to examine the relationships among regulatory effectiveness, three trusting perceptions and disclosure intention. A cross-group path coefficient comparison method was used to test gender differences.

The results suggest that regulatory effectiveness affects competence- and character-based trust and these impacts are stronger for males than for females. Both competence- and character-based trust influence general trust in members while their impacts vary. Competence-based trust is more important for males while character-based trust is more important for females.

This study contributes to social media literature by identifying the two trust building mechanisms with special attention to the role of regulatory effectiveness and trust transfer. Further, this study also sheds light on how these two mechanisms vary across gender.

The purpose of this paper is to verify the relationship between the features of social media and knowledge sharing, and to examine how ambient awareness mediates this relationship.

An experiment is designed to stimulate the knowledge work in a famous Chinese business college and 156 valid samples were obtained. AMOS was used in this paper to examine the theoretical model.

There is a correlation among features of social media, ambient awareness and knowledge sharing. Surprisingly, network translucence, which indicates individuals’ meta-knowledge of others’ connections, has no influence on knowledge sharing. Although this is inconsistent with conjecture of the existing literature, it can be well explained by the phenomenon in real life, such as privacy setting in social media.

For employees who use social media to promote knowledge sharing within organizations, this study reminds them of the importance of ambient awareness. For managers, this study can give them some suggestions to make employees take full advantage of social media to achieve optimal benefits of knowledge sharing, thus improving organizational performance and innovation. For social media designers, they can make social media more useful in knowledge work by improving its specific features.

This paper proposes that ambient awareness is the mediator of the effect path between communication and knowledge sharing. And the status perception of coworkers’ exchanging information is closely related to knowledge sharing.

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge management of distributed agile team (DAT). This study aims to explore the comprehensive antecedents of TMS establishment in DATs and considers how TMS establishment is affected by herding behavior under the artificial intelligence (AI)-related knowledge work environment that emerges with technology penetration.

The data derived from 177 students of 52 DATs in a well-known Chinese business school, which were divided into 26 traditional knowledge work groups and 26 AI-related task groups to conduct a random comparative experiment. The ordinary least squares method was used to analyze the conceptual model and ANOVA was used to examine the differences in herding behavior between the control groups (traditional knowledge work DATs) and treatment groups (DATs engaged in AI-related knowledge work).

The results showed that knowledge diversity, professional knowledge, self-efficacy and social system use had significantly positive effects on the establishment of TMS. Interestingly, the authors also find that herding behavior may promote the process of establishing TMS of the new team, and this effect will be more significant when AI tasks are involved in team knowledge work.

By exploring the comprehensive antecedents of the establishment of TMS, this study provided a theoretical basis for knowledge management of DATs, especially in AI knowledge work teams. From a practical perspective, when the DAT is involved in AI-related knowledge works, managers should appropriately guide the convergence of employees’ behaviors and use the herding effects to accelerate the establishment of TMS, which will improve team knowledge sharing and innovation.

Smart cities show a “booming” trend both in the academia and the industry in recent years. Scholars across the world have been investigating how new technologies are applied to develop new services to the inhabitants and cities all over the world also address the “smart cities” challenges by promoting policymaking and governance. This paper aims to conduct in-depth research on smart cities by combining the study of governance policy study and information technology study.

This paper empirically mapped the trends of smart city development, outstanding scholars and hot topics about smart cities by analyzing important references using CiteSpace. The authors visualized references and topics to analyze smart city research, based on empirical data from Web of Science. Furthermore, two most important research branches – topics from smart city governance research and those from information systems (IS) research were studied, respectively.

First, the authors mapped the development of research and divided the development into three different stages. Second, the authors explored important, influential and instructive publications and publications’ attributes including authors, institutions, journals and topics. Third, the authors found there are different characteristics between the IS group and the governance group in publication situations, influential institutions, journals and authors, although the research points of the two branches are overlapping and fragmented. Finally, the authors proposed important topics, which include “internet of things (IoT)”, “big data”, “smart city systems” and “smart city management” and the authors predicted that “IoT” and “smart city challenge” would be future trends in recent years.

This study is an innovative research of its category because it visualized the development of smart city research, analyzed both governance and technology branches of smart city research synthetically using CiteSpace and forecasted future trends of smart city research by topics analysis and visualization of evolution.

The purpose of this paper is to explore the impact of mobile social media functions on explicit and implicit knowledge sharing under the “Guanxi” system based on the framework of stimulus–organism–response (SOR).

Combined with Guanxi theory, this paper designs an experiment to collect data from the new product development (NPD) teams.

Interestingly, the results show that the effect of social media communication function on employees is greater than the impact of collaboration on employees. Specifically, on the one hand, the more employees communicate in social media, the better their feelings will be, the less they will share knowledge. On the other hand, the collaboration function has a significantly negative impact on the psychological factors of employees. Excessively close cooperation and contact may instead create a contradiction between the employees, which is not conducive to the occurrence of knowledge sharing.

This paper extends SOR framework by combining Guanxi theory to examine the relationship between social media functions and knowledge sharing behavior (KSB). In practical, companies should pay attention to the frequency of employee using social media when it is introduced for NPD teams to control the negative influence of social media functions on employee KSB.

Prosocial lending in online crowdfunding has flourished in recent years, and it has become a new way to fundraise for philanthropy. However, there is almost a 70% user attrition rate in crowdfunding. The purpose of this study is to understand what the lender’s lending experience and social connection influence lender retention of online prosocial lending from a self-determination perspective.

Drawing on self-determination theory (SDT), this research utilizes a quantifiable method for factors of the lender's lending experience and social connection. Additionally, the research constructs economic models to explore the impacts of these factors acting as the necessary conditions for basic psychological needs on lender retention, using a large-scale sample of over 380,000 lenders from Kiva.

The results indicate that, from the lender's lending experience aspect, the loan narratives with more profit language in the last lending and the failure of past participation are negatively related to lender retention. Regarding the lender's social connection aspect, their friends or small lending teams are positively related to lender retention, while whether they are invited and lending team size show negative influence. Furthermore, results indicate the moderating effects of the disclosure of lending motivation.

This research explores the mechanism of lender retention of online prosocial lending, providing a self-determination perspective about how previous experience influences long-term lending behavior. The study offers significant implications for the literature on online philanthropy, SDT and user retention of online platforms. At the same time, the study provides an understanding of the effects of different aspects of SDT.

This study aims to explore the complex relationship between leadership and organizational knowledge sharing by investigating the moderating role of exchange ideology on the relation between transformational leadership in attributed charisma and knowledge sharing and the influence of attributed charisma and knowledge sharing on task performance. The influence of leadership in organizational knowledge sharing process has been gradually highlighted.

Based on the review of relevant literature and survey, a structural equation model considering four factors in the model together is now constructed and provides four hypotheses which can be verified. Self-completed questionnaires were collected from 163 students in the context of a graduate class in China.

The findings illustrate the relationship between leadership theory and knowledge sharing from a perspective of social exchange theory. In particular, results show that both transformational leadership and knowledge sharing have positive impacts to task performance and for individuals with low exchange ideology the positive influence from attributed charisma to knowledge sharing is stronger.

This research introduces exchange ideology as a moderator and explains the complex relationship between transformational leadership and knowledge sharing with sufficient proof. Transformational leadership in attributed charisma is more effective to those individuals with low exchange ideology in facilitating their knowledge effort. This paper can be theoretically and practically helpful to researchers and enterprise leaders in organizational knowledge management.

Social loafing in knowledge contribution (namely, knowledge contribution loafing [KCL]) usually happens in group context, especially in the mobile collaboration tasks. KCL shows dynamic features over time. However, most previous studies are based on static assumption, that is, KCL will not change over time. This paper aims to reveal the dynamics of KCL in mobile collaboration and analyze how network centrality influences KCL states considering the current loafing state.

This study is based on empirical study design. Real mobile collaboration behavioral data related to knowledge contribution were collected to investigate the dynamic relationship between network centrality and KCL. In total, 4,127 chat contents were collected through Slack (a mobile collaboration APP). The text data were first analyzed using the text analysis method and then analyzed by a machine learning method called hidden Markov model.

First, the results reveal the inner structure of KCL, showing that it has three states (low, medium and high). Second, it is found that network centrality positively influences individuals involved in medium and high loafing state, while it has a negative influence on individuals with low loafing state.

The limitations are related to the single machine learning method and no subdivision of social network. First, this paper only uses one kind of text classification model (TF-IDF) to divide chat contents, which may not be superior to other classification models. This paper considers the eigenvector centrality, and not further divides the social network into advice network and expressive network.

This study helps companies infer tendency of different KCL and dynamically re-organize a mobile collaborative team for better knowledge contribution.

First, previous studies based on static assumptions regarding KCL as static and the relationship between loafing reducing mechanisms and team members KCL does not change over time. This study relaxes static assumptions and allows KCL to change during the process of collaboration. Second, this study allows the impact of network centrality to be different when members are in different KCL states.

The purpose of this paper is to study the relationship between accounting conservatism and executive compensation-performance sensitivity with a view to identify the influence of accounting conservatism on the efficiency of executive compensation contracts.

This study uses multiple regression models based on the approach of Iyengar and Zampelli (2010), Clarkson et al. (2011) and Huang and Kisgen (2013) with the data from all of China’s listed non-financial firms over the period of 10 years to test the relationship between accounting conservatism and the sensitivity of executive compensation-performance.

This study finds a positive association between executive compensation and accounting-based measure of performance. More importantly, it reveals that conservatism has a positive relation with the executive compensation-performance sensitivity after controlling for a number of firm-specific factors and control variables. This study shows that the sensitivity of executive compensation to firm performance is higher for firms with higher accounting conservatism.

This is one of the few studies to examine the relationship between accounting conservatism and executive compensation-performance sensitivity. It provides supportive evidence to the argument that accounting conservatism, being an efficient governance mechanism, can help mitigate information risk and moral risk for agency problems.