Jianmin Song, Shouxun Wen, Qingzhong Ren and Lu Zhang
Although knowledge has become a decisive factor in the development of firms, there has been no detailed investigation into how start-ups acquire external knowledge. In order to…
Abstract
Purpose
Although knowledge has become a decisive factor in the development of firms, there has been no detailed investigation into how start-ups acquire external knowledge. In order to narrow the research gap, this paper attempts to explore the mechanism of acquiring external knowledge in start-ups from the perspective of “environment–[sic.] structure” interaction.
Design/methodology/approach
This research develops a conceptual model regarding improvisation as an independent variable, strategic flexibility as a mediator, knowledge acquisition as the dependent variable and environmental mutation as a moderator between improvisation and strategic flexibility. Furthermore, this study collects the survey data from 277 firms and uses structural equation modeling (SEM) to empirically test the model and hypotheses.
Findings
The results show that creativity-bricolage and spontaneity-persistence have significantly positive effects on both capability flexibility and coordination flexibility. However, the positive effects of pressure-stress on capability flexibility and coordination flexibility are not supported. Meanwhile, the mediating roles of capability flexibility and coordination flexibility are supported. Finally, environmental mutation only positively moderates the relationship between creativity-bricolage and capability flexibility.
Originality/value
Improvisation can be seen as a core antecedent for start-ups to acquire external knowledge in environmental mutation. More specifically, the significant mediator is strategic flexibility to promote the relationship between improvisation and knowledge acquisition. The findings provide practical inspiration for start-ups to effectively utilize improvisation in emergencies.
Details
Keywords
Yixin Zhang, Lizhen Cui, Wei He, Xudong Lu and Shipeng Wang
The behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect…
Abstract
Purpose
The behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect decision-making have attracted the attention of many researchers. Among the factors that influence decision-making, the mind of digital-self plays an important role. Exploring the influence mechanism of digital-selfs’ mind on decision-making is helpful to understand the behaviors of the crowd intelligence network and improve the transaction efficiency in the network of CrowdIntell.
Design/methodology/approach
In this paper, the authors use behavioral pattern perception layer, multi-aspect perception layer and memory network enhancement layer to adaptively explore the mind of a digital-self and generate the mental representation of a digital-self from three aspects including external behavior, multi-aspect factors of the mind and memory units. The authors use the mental representations to assist behavioral decision-making.
Findings
The evaluation in real-world open data sets shows that the proposed method can model the mind and verify the influence of the mind on the behavioral decisions, and its performance is better than the universal baseline methods for modeling user interest.
Originality/value
In general, the authors use the behaviors of the digital-self to mine and explore its mind, which is used to assist the digital-self to make decisions and promote the transaction in the network of CrowdIntell. This work is one of the early attempts, which uses neural networks to model the mental representation of digital-self.