Search results

This study aims to investigate the causal relationships within an experimental culture of improvisation capability and firm performance, following the logic of “culture-capability-performance” and building on informal institution theory and dynamic capability theory.

Data was mainly collected via on-site questionnaires from firm managers, and 196 valid questionnaires were analyzed using structural equation modeling to test the relationship among experimental culture, improvisation capability and firms’ performance.

Trust and support had a positive impact on firm spontaneity, while the effect of action promotion and error tolerance was not significant. Action promotion, trust and support demonstrate substantial positive effects on the creativity of a firm. Both dimensions of improvisation capability positively and significantly influence a firm’s performance.

The research respondents were firm managers. Cross-sectional data were used to analyze the model, which may cause common method variance. The research context was limited to China, and the generalizability of the results needs to be considered.

Firms can cultivate a culture of trust and support to enhance their spontaneity and improvisation capability. They can encourage cross-departmental communication, empower employees with autonomy in decision-making, provide appropriate resource support for employees’ decisions and use praise and reward incentives to spur further innovation achievements.

This study addresses the gaps in a firm’s improvisation capability within a Chinese market context by theoretically and empirically examining the role of experimental culture and assessing the relationship among each of the dimensions of improvisation capability in relation to firm performance identified in this study.

The purpose of this research is to investigate the cross-level effects and mechanisms of inclusive leadership on employee innovation in team contexts, and further explore the boundary conditions of inclusive leadership.

This study collected data from 237 leader-member dyads in 60 teams of Chinese firms. The research utilized multilevel linear models and multilevel structural equation models in the R language to test the hypothesized model.

The findings suggest that inclusive leadership has a positive impact on both employee incremental and radical innovation. Team psychological safety and employee role breadth self-efficacy mediate the effects. Employee risk avoidance propensity negatively moderates the mediating role of role breadth self-efficacy in the relationship between inclusive leadership and incremental innovation.

Leaders should pay attention to team psychological safety, employee role breadth self-efficacy and employee individual risk avoidance propensity that influence employee innovation to maximize the effectiveness of inclusive leadership.

This research expanded the level of analysis from individual to team, exploring cross-level effects and mechanisms of inclusive leadership on employee innovation in team contexts, and clarified the effectiveness conditions of inclusive leadership.

To satisfy the demand of initial investor for above-average capital return and the expectation of entrepreneurial management to establish their own business, this paper aims to explore a dynamic equity allocation model in which the shareholding ratio of the technology-based entrepreneurial firm changes with its growth and profit. Based on the dynamic equity allocation model, the authors design a financing structure which not only ensures timely and adequately obtaining the fund but also avoids equity dilution and safeguards the integrity of equity.

The paper selects high-tech companies listed in China as the sample for empirical research to identify the role of stock incentive and uses model deduction to find the equitable quantized benchmark for entrepreneurial management equity allocation. The study uses capital exclusivity as an entry point to perform theoretical analysis and demonstrates how the equity allocation of a technology-based entrepreneurial firm changes dynamically as the presentation speed of entrepreneurial management’s human capital exclusivity accelerates. The paper then constructs a conceptual model to design the financing structure of the technology-based entrepreneurial firm.

The study finds that stock incentive upwardly regulates debt financing and downwardly regulates equity financing. Based on characteristics of technology-based entrepreneurial firms, the paper suggests that the immediate surplus capital increment can signify the increasing presentation speed of human capital exclusivity, and it is proposed as an equitable quantized benchmark for equity allocation to entrepreneurial management. Based on the dynamic equity allocation model, the paper designs an internal equity and external debt financing structure.

The conclusions enrich the theoretical foundation for entrepreneurial management to participate in residual claim and provide practical guidance for equity allocation and financing structure design in the context of mass entrepreneurship and innovation. The paper also sets up a conceptual framework for solving two major issues of the technology-based entrepreneurial firm: timely acquisition of external funding and lasting maintenance of entrepreneurial management stability.

This paper aims to construct a spatio-temporal emotional framework (STEF) for digital humanities from a quantitative perspective, applying knowledge extraction and mining technology to promote innovation of humanities research paradigm and method.

The proposed STEF uses methods of information extraction, sentiment analysis and geographic information system to achieve knowledge extraction and mining. STEF integrates time, space and emotional elements to visualize the spatial and temporal evolution of emotions, which thus enriches the analytical paradigm in digital humanities.

The case study shows that STEF can effectively extract knowledge from unstructured texts in the field of Chinese Qing Dynasty novels. First, STEF introduces the knowledge extraction tools – MARKUS and DocuSky – to profile character entities and perform plots extraction. Second, STEF extracts the characters' emotional evolutionary trajectory from the temporal and spatial perspective. Finally, the study draws a spatio-temporal emotional path figure of the leading characters and integrates the corresponding plots to analyze the causes of emotion fluctuations.

The STEF is constructed based on the “spatio-temporal narrative theory” and “emotional narrative theory”. It is the first framework to integrate elements of time, space and emotion to analyze the emotional evolution trajectories of characters in novels. The execuability and operability of the framework is also verified with a case novel to suggest a new path for quantitative analysis of other novels.