Does firm performance reveal its own causes? the role of Bayesian inference

2010 ◽  
Vol 31 (1) ◽  
pp. 39-57 ◽  
Author(s):  
Ying-Chan Tang ◽  
Fen-May Liou
2021 ◽  
Vol 13 (11) ◽  
pp. 6009
Author(s):  
Se-Kyoung Choi ◽  
Sangyun Han ◽  
Kyu-Tae Kwak

What kind of capacity is needed to improve the performance of start-ups? How effective are government support policies in improving start-up performance? Start-ups are critical firm group for ensuring the prospective and sustainable growth of an economy, and thus many countries’ governments have established support policies and they are likely to engage more widely in forward-looking political support activities to ensure further growth and expansion. In this paper, the effect of innovation capabilities and government support policies on start-up performance is examined. We used an unbalanced panel data analysis with a random effect generalized least squares. We investigated the effect of government support policies on 4368 Korean start-ups. The findings indicated that technology and knowledge capabilities had positive effects on the sales performance of start-ups, and government financial support positively affected the relationship between knowledge capability and firm performance. However, when government financial support increased, marketing capability was negatively associated with firm performance. These results demonstrate the significant role of government financial support, including its crowding in but also its crowding out effect. Practical implications: To be more effective, governments should employ innovation-driven entrepreneurship policy approaches to support start-ups. To improve their performance, start-ups need to increase their technology and knowledge capabilities. This study extends recent efforts to understand more fully the effect of government support policies on start-ups differing in their technology, knowledge, and marketing capabilities.


Author(s):  
Aishwarya Narayan ◽  
Sumukh Hungund

AbstractThis paper explores the influence of innovation approaches on innovation performance and firm performance among Indian biotechnology firms. Further, it aims to discuss the interceding role of innovation performance between innovation practices and firm performance. A criteria-based snowball sampling method was adopted for data collection. The collection of data was carried out using a web survey from 200 biotechnology firms located across India. The data is analysed using a covariance-based structural equation modelling (SEM) technique. The results indicate that the adoption of innovation practices positively influences the firms’ innovation and overall performance. Furthermore, the results confirm the mediating role of innovation performance between innovation approach adoption and firm performance. Firms, particularly from the biotechnology industry, can use these results to assess their performance and formulate or modify their strategy to improve their innovation and overall performance.


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