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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.

The purpose of this study is to explore how inclusive leadership promotes organizational performance through ambidextrous innovation (i.e. exploratory and exploitative innovation). Moreover, the authors examine the moderating role of environmental uncertainty in the relationship between inclusive leadership and ambidextrous innovation.

This study conducted a questionnaire survey of high-tech enterprises in China and obtained 325 useable samples. The hypotheses were tested using latent path analysis and ordinary least squares regression.

The results indicate that exploratory and exploitative innovations mediate the relationship between inclusive leadership and organizational performance. Moreover, environmental uncertainty positively moderated the relationship between inclusive leadership and exploitative innovation.

Managers should value the critical role of inclusive leadership in promoting exploratory and exploitative innovation, which in turn improves organizational performance. Meanwhile, managers need to pay attention to the risk caused by environmental uncertainty.

This paper extends the influence of inclusive leadership on innovation from the individual level to the organizational level and reveals the influence mechanism of inclusive leadership on organizational performance. In addition, this study supplements the knowledge regarding the boundary conditions under which the influence of inclusive leadership is strengthened or weakened.

For survival and prosperity, enterprises need to simultaneously engage in exploitation and exploration. Digital transformation is of great significance to enterprise innovation. However, the impacts of digital transformation on exploitation and exploration remain unclear. Moreover, the impacts of technological diversity on the relationships between digital transformation and exploitation and exploration are also unknown.

Based on an integrated perspective of dynamic capability theory and organizational inertia theory and using data from Chinese listed enterprises from 2007 to 2020, this study clarifies the effects of digital transformation on exploitation and exploration and assesses the moderating effect of technological diversity.

The results show that digital transformation improves exploitation, but negatively impacts exploration. Technological diversity mitigates the negative effect of digital transformation on exploration, but the moderating effect on the relationship between digital transformation and exploitation is not significant.

This study contributes to the existing literature on the digital paradox and provides guidance for enterprises to clarify the direction of digital transformation.

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.

This study aims to investigate antecedent conditions that lead to the development of distributed leadership (DL). The authors examine how the emergence of DL is affected by empowerment and internal context, which consists of shared purpose, social support and voice. The moderating effects of training are also investigated.

To test the hypotheses, this empirical analysis of the relationship between the variables was based on the results of a questionnaire survey on 62 teams in high-tech enterprises of mainland China.

Results indicate that empowerment and internal context in the team significantly predict the extent of DL and that training has positive moderating effects on the relationships.

The results imply that firms must carefully analyze specific team conditions to ensure shared purpose, social support and voice in each team. This study also suggests the importance of empowerment. Moreover, enterprises can use training, a human resource tool, to enhance the positive effects of internal context and empowerment on DL.

By building on upper echelons theory and integrating insights from contingency theory, this study extends prior research by examining the direct effects of both empowerment managerial system and internal context on DL and the moderating effect of training.

Emerging evidence regarding crowdfunding challenges long-standing “gender gap” views of traditional entrepreneurial financing and indicates that female entrepreneurs may have an advantage in crowdfunding. Yet, the literature primarily focuses on influences at the individual level, largely overlooking the interaction between gender and higher-level culture. Drawing on Hofstede's cultural dimensions, this paper aims to investigate the associations among entrepreneurs' gender, culture and crowdfunding performance, particularly in how entrepreneurs' gender and culture interact to affect crowdfunding performance.

Leveraging a sample of 21,730 Kickstarter crowdfunding campaigns and combining these data with data from Hofstede's study, the World Bank (WB) and the International Telecommunication Union (ITU), this study applies multilevel models to empirically investigate this question across 22 countries/regions.

This study confirms that the advantageous effect, that female entrepreneurs are likely to obtain better fundraising performance over their male counterparts, does exist in crowdfunding. Furthermore, the findings reveal that this advantageous effect of female entrepreneurs on crowdfunding performance would be reinforced when cultures of individualism and indulgence are high and culture of long-term orientation is low.

This study contributes to the literature on gender gaps in crowdfunding and entrepreneurial financing by adding an important culture-related boundary condition to the gender preference reported in earlier crowdfunding work. Moreover, the paper extends the knowledge about the impact of culture on crowdfunding performance and enlightens future research on leveraging multilevel modeling approach to examine the complex interplay between individuals and situations in crowdfunding.

Dashang refers to a reward given voluntarily to street performers in return for their performance. Some social media platforms have created a way to integrate this as a function, referred to as the dashang feature, to allow users to reward live performers online as well. Over the last few years, this function has become extremely popular among social media users, as it recreates the nostalgic experience of watching street performances. Platforms now consider it indispensable, as it has become a source of substantial revenue (commission on rewards earned by performers). However, not all users reward performers. For each user who pays, there are many more who lurk on the platform. This study examines the reasons for these differences using the Big Five personality perspective and justice theory.

We develop an empirical model using the Big Five theory and justice theory and test it using empirical data collected through a survey of WeChat users.

The results indicate that distributive justice, interpersonal justice and informational justice are essential factors in relation to social media users' use of the dashang feature. It is also found that personality type affects these three factors.

This study makes three key contributions. First, it examines the factors that influence users' voluntary use of the dashang feature using the lenses of the Big Five theory and justice theory. Second, this study extends previous results on perceived justice to examine use of the dashang feature in social media. Third, this study applies these theories to the study of consumer behavior by exploring the role of user characteristics in social media use.

Riggle et al.’s (2009) and Rhoades and Eisenberger (2002) literature surveys are the latest available studies on antecedents and outcomes of perceived organizational support (POS). Riggle et al. work considered studies on outcomes of organizational support (1986-2006), while Rhoades and Eisenberger worked on both antecedents and consequences (1986-2002). There are seven years since no work has been done on the outcomes and almost 12 years since no work has been done on the antecedents of POS. Considering the gap, the paper aims to investigate the antecedents and outcomes of POS.

In total, 170 studies were included in meta-analysis containing at least one of the antecedent or outcomes. Riggle et al. included 167 studies, while Rhoades and Eisenberger study covered 70 studies in their literature survey studies for the period of 1986-2006. This study adds value to the work of Riggle et al., by looking at the studies conducted from January 2007 to September 2013; and Rhoades and Eisenberger by investigating the antecedents of POS from January 2003 to September 2013.

Findings of the study revealed that POS is largely influenced by justice, growth opportunities, supervisor support, and coworker support. While having a profound look at the outcomes it is evident that POS significantly influence employee engagement, job satisfaction, and organizational commitment; while its impact on organizational citizenship behavior and turnover intentions is moderate.

This research endeavor leaves a valuable message for management as POS is noticed to have profound effects on employee attitudes and behaviors at work.

This study adds value by offering meta-analysis of the antecedents and outcomes of POS for latest available literature (i.e. 2003-2013 for antecedents and 2007-2013 for outcomes).

Cybersecurity vulnerabilities are often due to human users acting according to their own ethical priorities. With the goal of providing tailored training to cybersecurity professionals, the authors conducted a study to uncover profiles of human factors that influence which ethical principles are valued highest following exposure to ethical dilemmas presented in a cybersecurity game.

The authors’ game first sensitises players (cybersecurity trainees) to five cybersecurity ethical principles (beneficence, non-maleficence, justice, autonomy and explicability) and then allows the player to explore their application in multiple cybersecurity scenarios. After playing the game, players rank the five ethical principles in terms of importance. A total of 250 first-year cybersecurity students played the game. To develop profiles, the authors collected players' demographics, knowledge about ethics, personality, moral stance and values.

The authors built models to predict the importance of each of the five ethical principles. The analyses show that, generally, the main driver influencing the priority given to specific ethical principles is cultural background, followed by the personality traits of extraversion and conscientiousness. The importance of the ingroup was also a prominent factor.

Cybersecurity professionals need to understand the impact of users' ethical choices. To provide ethics training, the profiles uncovered will be used to build artificially intelligent (AI) non-player characters (NPCs) to expose the player to multiple viewpoints. The NPCs will adapt their training according to the predicted players’ viewpoint.