scholarly journals A Delicate Balance for Innovation: Competition and Collaboration in R&D Consortia

2019 ◽  
Vol 15 (1) ◽  
pp. 145-176 ◽  
Author(s):  
Dong Chen ◽  
Li Dai ◽  
Donghong Li

ABSTRACTThis study examines how competitive and cooperative relationships within R&D consortia influence member firms’ innovation output. We propose a U-shaped relationship between the presence of market competitors for a member firm and the firm's joint R&D output with other consortium members, and examine how the relationship is mediated by interactions with other members at the firm level and moderated by collaborative efforts at the consortium level. Using a unique sample of 320 firms from 52 R&D consortia in China, we find support for our predictions. This multi-level study extends our understanding of competition and cooperation in multi-party networks and provides insights for creating a balance between the two forces that is conducive to innovation.

2020 ◽  
Vol 34 (2) ◽  
pp. 109-124
Author(s):  
Megan F. Hess ◽  
Andrew M. Hess

SYNOPSIS In this study, we investigate the relation between accounting failure and innovation at multiple levels in an organization by developing and testing a model for how top executives and functional managers might change their risk preferences and their innovation investments in response to public disclosures of financial misconduct. At the firm level, we find that accounting failures reduce subsequent investments in R&D, as predicted by a threat rigidity (“play it safe”) psychological response among top executives. At the project level, accounting failures have the opposite effect, resulting in an increase in the number of exploratory projects, as predicted by a failure trap (“swing for the fences”) psychological response among functional managers. Unpacking this relation at multiple levels of analysis helps us to understand the complex ways in which financial misconduct shapes a firm's innovation activities and appreciate the far-reaching consequences of accounting failure.


2021 ◽  
Vol 11 (5) ◽  
pp. 656
Author(s):  
Pierluigi Zoccolotti ◽  
Paola Angelelli ◽  
Chiara Valeria Marinelli ◽  
Daniele Luigi Romano

Background. Skill learning (e.g., reading, spelling and maths) has been predominantly treated separately in the neuropsychological literature. However, skills (as well as their corresponding deficits), tend to partially overlap. We recently proposed a multi-level model of learning skills (based on the distinction among competence, performance, and acquisition) as a framework to provide a unitary account of these learning skills. In the present study, we examined the performance of an unselected group of third- to fifth-grade children on standard reading, spelling, and maths tasks, and tested the relationships among these skills with a network analysis, i.e., a method particularly suited to analysing relations among different domains. Methods. We administered a battery of reading, spelling, and maths tests to 185 third-, fourth-, and fifth-grade children (103 M, 82 F). Results. The network analysis indicated that the different measures of the same ability (i.e., reading, spelling, and maths) formed separate clusters, in keeping with the idea that they are based on different competences. However, these clusters were also related to each other, so that three nodes were more central in connecting them. In keeping with the multi-level model of learning skills, two of these tests (arithmetic facts subtest and spelling words with ambiguous transcription) relied heavily on the ability to recall specific instances, a factor hypothesised to underlie the co-variation among learning skills. Conclusions. The network analysis indicated both elements of association and of partial independence among learning skills. Interestingly, the study was based on standard clinical instruments, indicating that the multi-level model of learning skills might provide a framework for the clinical analysis of these learning skills.


2021 ◽  
pp. 095042222199511
Author(s):  
Rosivalda Pereira ◽  
Mário Franco

This study aims to present the relationship between universities and small and medium-sized enterprises (SMEs) through a systematic literature review. SMEs play an important role in economic development. Similarly, universities are important actors in the innovation system. To fulfil the study objective, data were collected from the Scopus database. The bibliometric results found, using bibliometrix software, reveal that this topic first appeared in the literature in 1995 and entered a growth stage in 2014. Systematically, studies have focused mostly on European countries and the emphasis in cooperation is on knowledge transfer. In addition, the results show that SMEs form cooperative relationships with universities in search of competitive results. However, the main difficulty with regard to the establishment of such relationships is a lack of knowledge in SMEs about university programmes that can support them and about how to access such programmes. Therefore, it is suggested that universities should establish more effective communication channels in order to reach this type of firm.


2021 ◽  
pp. 147612702110048
Author(s):  
J Daniel Zyung ◽  
Wei Shi

This study proposes that chief executive officers who have received over their tenure a greater sum of total compensation relative to the market’s going rate become overconfident. We posit that this happens because historically overpaid chief executive officers perceive greater self-worth to the firm whereby such self-serving attribution inflates their level of self-confidence. We also identify chief executive officer- and firm-level cues that can influence the relationship between chief executive officers’ historical relative pay and their overconfidence, suggesting that chief executive officers’ perceived self-worth is more pronounced when chief executive officers possess less power and when their firm’s performance has improved upon their historical aspirations. Using a sample of 1185 firms and their chief executive officers during the years 2000–2016, we find empirical support for our predictions. Findings from this study contribute to strategic leadership research by highlighting the important role of executives’ compensation in creating overconfidence.


2021 ◽  
Vol 14 (2) ◽  
pp. 70 ◽  
Author(s):  
Rio Murata ◽  
Shigeyuki Hamori

In this study, we investigate the relationship between environmental, social, and governance (ESG) disclosures and stock price crash risk. A stock price crash is a dreadful event for market participants. Thus, exploring stock price crash determinants is helpful for investment decisions and risk management. In this study, we use samples of major market index components in Europe, the United States, and Japan to perform regression analyses, after controlling for other potential stock price crash determinants. We estimate static two-way fixed-effect models and dynamic GMM models. We find that coefficients of firm-level ESG disclosures are not statistically significant in the static model. ESG disclosure coefficients in the dynamic model are not statistically significant in the U.S. market sample. On the other hand, coefficients of ESG disclosure scores in the dynamic model are statistically significant and negative in the European and Japanese marker sample. Our findings suggest that ESG disclosures lower future stock price crash risk; however, the effect and predictive power of ESG disclosures differ among regions.


Sign in / Sign up

Export Citation Format

Share Document