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This study aims to investigate the effect of the virtual spokesperson type on the consumers' preference for new products. To meet the consumer needs of Generation Z, virtual spokespeople have become new assistants in brand marketing. However, how virtual spokespersons drive consumer preference for new products is minimally understood.

This research conducts three experiments to investigate the influence of virtual spokesperson type on consumers' preference for new products.

The research shows that, for radically new products, competent virtual spokespersons improve consumers' perception of self-efficacy and thus consumers' preference; for incrementally new products, warm virtual spokespersons improve consumers' perception of social connection and thus consumers' willingness to buy.

This study broadens research on brand spokespersons and virtual spokespersons. This research also enriches and expands research on the consideration of new product types in brand spokespersons.

Kriging model has been widely adopted to reduce the high computational costs of simulations in Reliability-based design optimization (RBDO). To construct the Kriging model accurately and efficiently in the region of significance, a local sampling method with variable radius (LSVR) is proposed. The paper aims to discuss these issues.

In LSVR, the sequential sampling points are mainly selected within the local region around the current design point. The size of the local region is adaptively defined according to the target reliability and the nonlinearity of the probabilistic constraint. Every probabilistic constraint has its own local region instead of all constraints sharing one local region. In the local sampling region, the points located on the constraint boundary and the points with high uncertainty are considered simultaneously.

The computational capability of the proposed method is demonstrated using two mathematical problems, a reducer design and a box girder design of a super heavy machine tool. The comparison results show that the proposed method is very efficient and accurate.

The main contribution of this paper lies in: a new local sampling region computational criterion is proposed for Kriging. The originality of this paper is using expected feasible function (EFF) criterion and the shortest distance to the existing sample points instead of the other types of sequential sampling criterion to deal with the low efficiency problem.

This study aims to use the knowledge management perspective to examine the mechanism through which entrepreneurship drives firms’ technological innovation in the digital age. The objective is to develop a multi-stage integrated theoretical model to explain how entrepreneurship exerts its influence on firms’ technological innovation with a particular focus on the knowledge management perspective. The findings can be used for the cultivation of entrepreneurship and for the promotion of continuous technological innovation activities.

This study uses a case-based qualitative approach to examine the relationship between entrepreneurship and technological innovation. The authors first analyze the case of SANY and then explore the mechanism of how entrepreneurship can promote a firm’s technological innovation from the perspective of knowledge management based on the technology-organization-environment framework. An integrated theoretical model is then developed in this study.

Based on a case study, the authors propose that there are three main processes of knowledge management in firms’ technological innovation: knowledge acquisition, knowledge integration and knowledge creation. In the process of knowledge acquisition, the joint effects of innovation spirit, learning spirit, cooperation spirit and global vision drive the construction and its healthy development of firms’ innovation ecosystem. In the process of knowledge integration, the joint effects of innovation spirit, cooperation spirit and learning spirit help complete the integration of knowledge and further the accumulation of firms’ core knowledge resources. In the process of knowledge creation, the joint effects of mission spirit, learning spirit and innovation spirit encourage the top management team to establish long-term goals and innovation philosophy. This philosophy can promote the establishment of a people-oriented incentive mechanism that helps achieve the transformation from the accumulation of core knowledge resources to the research and innovation of core technologies. After these three stages, firms are passively engaged in the “reverse transfer of knowledge” step, which contributes to other firms’ knowledge management cycle. With active knowledge acquisition, integration, creation and passive reverse knowledge transfer, firms can achieve continuous technological innovation.

This study has important theoretical implications in entrepreneurship research. This study helps advance the understanding of entrepreneurship and literature on the relationship between entrepreneurship and technological innovation in the digital age, which can broaden the application of knowledge management theories. It can also help better understand how to develop healthy firm-led innovation ecosystems to achieve continuous optimization of knowledge and technological innovation in the digital age.

This study proposes an integrated theoretical model to address the issues of entrepreneurship and firms’ technological innovation in the digital age, and it is also one of few studies that focuses on entrepreneurship and innovation from a knowledge management perspective.

Language styles of online reviews are becoming increasingly important in consumers’ purchase decisions. However, there are inconsistencies in research on the effects of literal and figurative language styles in online reviews on service consumption. Drawing upon construal level theory, this research explores the effects of literal and figurative online reviews on consumers’ word-of-mouth recommendations and their internal mechanisms in the context of service consumption. In addition, this research identifies service types (experience vs credence services) as boundary conditions under which online review language styles play a role.

Three studies are designed to verify the effect of language style in online reviews on consumer word-of-mouth recommendations. Study 1 (N = 195) tests the interaction between construal level and (literal vs figurative) language style on consumers’ word-of-mouth recommendations. Study 2 (N = 191) identifies the depth of information processing as an underlying mechanism. Study 3 (N = 466) examines the boundary condition due to service type. The main methods used are independent sample t-test, ANOVA and bootstrapping.

The results illustrate that (1) consumers at different construal levels prefer online reviews with different language styles, and this can influence their word-of-mouth recommendations: consumers with a low construal level prefer online reviews with a literal language style, while those with a high construal level prefer online reviews with a figurative language style; (2) the depth of information processing plays a mediating role in the above interaction effect and (3) service type serves as a boundary condition such that the preference for literal (vs figurative) language style among low- (vs high-) construal-level consumers holds only for experience services; for credence services, online reviews with a literal language style enhance word-of-mouth recommendations, regardless of consumers’ construal level. The findings shed light on the drivers of word-of-mouth recommendations and provide insights to promote more effective word-of-mouth recommendations.

Drawing upon the construal level theory, this research explores the factors that influence online review language styles on consumer word-of-mouth recommendations and their underlying mechanisms and discusses the moderating effects of different service types (i.e. experience services and trust services). It not only sheds light on the contradictions in the previous literature but also provides new insights for academics and business managers to deepen their understanding of facilitating word-of-mouth recommendations.

The purpose of this paper is to explore the effects of organizational rewards on two forms of knowledge sharing – explicit knowledge sharing and tacit knowledge sharing in virtual communities, and further to explore the mediating effect of intrinsic motivation on the effect of virtual community rewards on implicit knowledge sharing.

Based on relevant knowledge sharing theories, this study develops an integrated framework to explore virtual community rewards and tacit and explicit knowledge sharing in a virtual context. This study then collected data from 429 virtual community users in four virtual communities via an online survey. Hierarchical regression analyzes were used to test the proposed research model.

The results of this study show that virtual rewards have a significantly positive linear relationship with explicit knowledge sharing but have an inverse U-shape relationship with tacit knowledge sharing in virtual communities. In addition, intrinsic motivations including enjoyment and self-efficacy mediate the relationship between rewards and tacit knowledge sharing.

This study suggests more virtual community rewards may not always lead to more tacit knowledge sharing. Instead, too many rewards may weaken the motivation for tacit knowledge sharing. Knowledge management practitioners should make full use of the positive impact of self-efficacy and enjoyment to set up appropriate reward incentives to encourage knowledge-sharing, in particular, tacit knowledge sharing and to better manage virtual communities.

This study explores knowledge-sharing behavior in virtual communities, an important step toward more integrated knowledge-sharing theories. While online communities have become increasingly important for today’s knowledge economy, few studies have explored knowledge and knowledge sharing in a virtual context and this study helps to bridge the gap. In addition, this study develops an integrated framework to explore the mechanism through which virtual community rewards affect knowledge sharing with intrinsic motivation mediating this relationship in online communities, which further enriches the understanding on how to use virtual rewards to motivate knowledge sharing behaviors in the virtual context.

This study aims to explore the impact of well-educated young Chinese employees’ notions of work on their conflict management styles in the increasingly turbulent workplace to help better manage work-related conflict in the time of transition in China.

Self-administered questionnaires were used to collect data from over 400 young Chinese employees. The data were first factor analyzed to explore the underlying dimensions of contemporary work notions in China’s transition period. Hierarchical regression analysis was then conducted to explore the relationship between dimensions of work notions and conflict management styles.

The results showed that well-educated young Chinese employees’ notions of work consisted of sense of control, fulfilling and rewarding, holistic concerns, personal growth and development and meaningfulness. The results further indicated that young Chinese employees with strong needs to satisfy individual interests in their work tend to use competitive methods to manage work-related conflicts, employees with strong needs to satisfy group interests in their work prefer to use collaborative methods and those who believe in collective efforts in achieving individual goals through group goals’ obtainment are more likely to use collaborative and compromising approaches.

This study provides a new perspective to manage work-related conflict in the Chinese context. The findings of this study are able to help enrich conflict management theories in China and suggest insightful conflict resolution approaches to work-related conflicts in China’s changing environment. This study also helps bridge the research gap between work notions and conflict management styles. The results of this study can greatly facilitate Chinese companies’ endeavors toward crafting a more innovative workforce and help improve employee performance in China’s transition to industrialization.

The purpose of this study is to investigate how a team leader’s conflict management style (CMS) affects team innovation performance (TIP) in entrepreneurial teams using a team emotion perspective.

It is proposed in this study that team passion mediates the impact of team leader’s CMSs on team performance, which is further moderated by team emotional intelligence (TEI). Then this study collected paired data from 105 teams including 105 team leaders and 411 team members to test the proposed model.

The results show that a team leader’s cooperative CMS has a significant positive impact on TIP and team passion further mediates the relationship between the team leader’s CMSs and TIP. The results also show that TEI moderates the relationship between the leader’s CMSs and team passion.

This study helps enriches the literature of conflict management by exploring the mechanisms through which a team leader’s CMSs affect team performance in entrepreneurial activities, and the findings of this study highlight the important role of team passion in this process. In addition, this study integrates the research on conflict management and the research on team passion in entrepreneurial teams to provide a new perspective to explore the dynamic process of entrepreneurial activities, which sheds light on the investigation of the important implications of effective conflict management in the entrepreneurship.

This paper aims—based on past research works which have shown that transformational leadership has positive impact on knowledge sharing—to explore the impact of different leadership dimensions of transformational leadership on knowledge sharing and further to explore the mechanism through which transformational leadership affects employee knowledge sharing in China.

Based on the transformational leadership theory and the team learning theory, it is proposed that all four dimensions of transformational leadership, including intellectual stimulation, individualized consideration, inspirational motivation and idealized influence, have unique impact on employee knowledge sharing. It is further proposed that psychology safety and team efficacy mediate these relationships. Then data were collected from over 400 employees from knowledge-based companies in China to empirically test the proposed relationships with the method of structural equation modeling.

The results show that psychological safety fully mediated the impact of intellectual stimulation on knowledge sharing, and team efficacy fully mediated the impact of inspirational motivation on knowledge sharing. Both factors also mediated the impact of individualized consideration on knowledge sharing. The results thus provide empirical support for the impact of transformational leadership on employee knowledge sharing in an international context.

The past years have seen increasing interest in leadership and knowledge sharing in emerging markets, yet the mechanism through which leadership affects employee knowledge sharing remains understudied. This study explores the impact of different dimensions of transformational leadership on employee knowledge sharing, and further shows that psychological safety and team efficacy mediate these relationships in a collectivistic society where knowledge sharing is consistent with cultural norms. The findings help develop more robust knowledge sharing theories in the international context and provide insightful suggestions for management practitioners in emerging markets.

Online brand communities (OBCs) are important platforms to obtain consumers' ideas. The purpose of this study is to examine how peer influence and consumer contribution behavior simulate innovative behaviors in OBCs to increase idea quality.

Using a firm-hosted popular online brand community – Xiaomi Community (MIUI), the authors collected a set of data from 6567 consumers and then used structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to empirically test the impact of peer influence and consumer contribution behaviors on idea quality in OBCs.

The results of this study show that both peer influence breadth and depth have a positive effect on idea adoption and peer recognition, wherein proactive contribution behavior positively mediates these relationships, and responsive contribution behavior negatively mediates the impact of peer influence breadth and peer influence depth on peer recognition. A more detailed analysis using the fsQCA method further identifies four types of antecedent configurations for better idea quality.

Based on the attention-based view and the theory of learning by feedback, this study explores the factors that affect idea quality in the context of social networks and extends the research of peer influence in the digital age. The paper helps improve our understanding of how to promote customer idea quality in OBCs.

This paper aims to propose an active disturbance rejection control (ADRC)-based visual servoing strategy for regulating a wheeled mobile robot from varying initial poses to a desired pose at an exponential rate. It addresses challenges associated with non-holonomic constraints, uncertain depth information and unknown translational parameters in monocular vision systems.

The uncertain depth information in monocular vision and unknown camera-to-robot translational parameters are modeled as internal uncertainties of the visual servo system. An input-state scaling technique is used to decouple the system into two subsystems, controlled by angular and linear velocities, respectively. The angular velocity controller is designed to ensure strict exponential convergence, while the internal parametric and bounded uncertainties of the system are estimated and compensated for by an extended state observer and a switching linear velocity controller.

The separate design of the angular and linear velocity controllers effectively overcomes the non-holonomic constraints of the mobile robot, ensuring robust performance under diverse conditions. Furthermore, the ADRC-based strategy successfully handles uncertain depth information and unknown translational parameters. The convergence of the error system is rigorously proven using Lyapunov theory, and simulation results verify the effectiveness of the proposed scheme.

To the best of the authors’ knowledge, this study introduces, for the first time, a novel approach that combines ADRC with visual servoing for non-holonomic mobile robots. This approach enhances the adaptability and accuracy of the robot’s navigation in environments characterized by unknown system uncertainties. The proposed method demonstrates enhanced practical performance over conventional techniques by effectively managing the inherent uncertainties of the system.