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The purpose of this paper is to examine how and when distributed leadership (DL) enhances innovation ambidexterity by considering knowledge sharing as a mediator and element of organizational structure as a moderator.

Data obtained from 269 questionnaires were analyzed empirically to reveal the relationship of the variables.

The results suggest that DL has a positive effect on innovation ambidexterity, and the relationship was partially mediated by knowledge sharing. Connectedness positively moderated the relationship between knowledge sharing and innovation ambidexterity.

The complexity and ambiguity that organizations often experience increases the difficulty for a single leader to successfully perform necessary leadership functions. The results show that DL is crucial to the promotion of innovation ambidexterity.

By building on organizational learning theory and integrating insights from knowledge creation theory, this study extends the prior research by uncovering the mechanism through which DL promotes innovation ambidexterity and the moderating effect of informal organizational structure.

This study aims to investigate the antecedents and outcomes of excessive use of personal social media at work. The prevalence of personal social media in the work environment can easily lead to excessive use and negative consequences. Understanding the predictive factors and negative consequences of employees' excessive use of personal social media at work is important to develop their appropriate use of social media and improve their job performance.

Based on dual-system theory and the person-environment fit model, this study develops a research model to examine the effect of habit and self-regulation on excessive use of personal social media at work and that of the outcomes of excessive use on employee job performance through strain. This study conducts a questionnaire survey on 408 employees to test the research model and hypotheses empirically.

Results suggest that the imbalance between habit and self-regulation drives excessive personal social media use of employees at work. Furthermore, excessive use of personal social media has a strong impact on employee strain, which can significantly decrease job performance.

First, this study considers excessive use of personal social media at work as a result of two different cognitive systems, that is, an automatic system and a controlled system, thereby extending the dual-system theory to explain excessive use of personal social media in the work context. Second, unlike previous studies that focused on the outcomes or explored the antecedents of excessive social media use at work respectively, the study employs the person-environment fit model and examines the systematic influence of excessive social media use at work from a broad perspective by linking its antecedents and outcomes.

The purpose of this paper is to examine whether the new distributed leadership patterns is an important driver for innovating business model. By synthesizing insights from the dynamic capabilities perspective, it also explores how and when distributed leadership enhances the business model innovation (BMI) by involving strategic flexibility as a mediator and environmental dynamism as important contingency.

A survey via questionnaire was conducted with 262 CEOs and 262 senior managers from Chinese high-tech companies that provided the research data. Structural equation modeling and linear regression analyses were used to test the time-lagged data, and then the main research questions were responded to.

The analysis reveals that distributed leadership has a significant direct influence on BMI, and that distributed leadership also indirectly affects BMI by enhancing strategic flexibility. Environmental dynamism strengthens the positive effect of distributed leadership on BMI under strategic flexibility.

This paper advances and enriches the emerging stream of BMI research. It presents an innovative conceptual analysis of the antecedents of BMI, and it shows a possible solution for BMI that complements extant research that considers which and how the leadership style of the organizations affects the business model change.

This study aims to assess how firm functional capability moderates the relationship between two types of open innovation and performance, with a special focus on the role of technological capability and the join effect market information management capability. This paper develops and tests a research model, which assesses how the performance implications of two open innovation forms are shaped by the technological capability and how such an effect is contingent on market information management capability.

Survey data were collected from 238 Chinese high-tech enterprises. Structural equation modeling and linear regression were used to test the data. Then, the main research questions were answered.

Empirically results show that technological capability strengthens the influence of inbound open innovation on firm performance. However, the moderate effect of technological capability on the relationship between outbound open innovation and firm performance remains unsupported. A higher technological capability with a high level of market information management capability increases the efficacy of outbound open innovation in gaining superior performance. Additional analysis shows that when firms implement inbound activities and possess a strong technological capability, they will achieve higher performance if they possess a moderate level of market information management capability, compared with a high or low level.

This paper provides new evidence on the benefits of different open innovation strategies on firm’s performance and, more importantly, the specific firm-level contingencies (technological capability and market information management capability) under which these benefits are more likely to be enhanced. It clarifies what the capabilities are and how they interact to foster the robust open innovation strategies, which sheds new light on the boundary conditions that affect the open innovations–firm performance relationship.

Researchers continue to address the concept of self-disclosure because it is foundational for helping social networking sites (SNS) function and thrive. Nevertheless, the authors' literature review indicates that uncertainty remains around the underlying mechanisms and factors involved in the self-disclosure process. The purpose of this research is to better understand the self-disclosure process from the lens of dual-process theory (DPT). The authors consider both the controlled factors (i.e. self-presentation and reciprocity) and an automatic factor (i.e. social influence to use an SNS) involved in self-disclosure and broaden The authors proposed a model to include the interactive facets of enjoyment.

The proposed model was empirically validated by conducting a survey among users of WeChat Moments in China.

As hypothesized, this research confirms that enjoyment and automatic processing (i.e. social influence to use an SNS) are complementary in the SNS self-disclosure process and enjoyment negatively moderates the positive relationship between controlled factor (i.e. self-presentation) and self-disclosure.

Theoretically, this study offers a new perspective on explaining SNS self-disclosure by adopting DPT. Specifically, this study contributes to the extant SNS research by applying DPT to examine how the controlled factors and the automatic factor shape self-disclosure processes and how enjoyment influences vary across these processes – enriching knowledge about SNS self-disclosure behaviors. Practically, the authors provide important design guidelines to practitioners concerning devising mechanisms to foster more automatic-enjoyable value-added functions to improve SNS users' participation and engagement.