Using a unique sample of 444 entrepreneurial IPOs in the UK and France this paper examines links between founders' characteristics,
venture capital (VC) syndication and the development of effective boards in entrepreneurial firms. It argues that VC-backed
IPOs suffer from two sets of agency problems which are related to principal-agent and principal-principal relationships between
the founders and members of the VC syndicate. The empirical evidence shows that there is a curvilinear relationship between
the intensity of founders' external ties and VC syndication. Founders' retained share ownership is negatively associated with
VC syndication. We also find that in syndicated IPOs there is a higher involvement of passive private equity firms and “business
angels” investing alongside VC firms, both in terms of their number and equity presence. VC-syndicated IPOs have more independent
boards than IPOs with no VC involvement. Board independence is negatively associated with founders' retained equity. These
results are consistent with the assumption that board independence is used to mitigate agency costs associated with VC involvement
in IPO firms. Our findings also identify significant differences in governance characteristics between the UK and France.
While French IPOs have less independent boards, they involve more VC backing in general and syndicated VC funding in particular,
than UK IPOs. 相似文献
Traditionally, R&D studies focus on organisational characteristics and internal context factor effects on a firm's R&D activities. This paper extends previous research by analysing firm–level R&D expenditures in the wider context of inter–organisational networks. Using sample of 2002 manufacturing firms in Italy, it provides evidence that R&D intensity is linked to a firm's positioning within an industrial group's hierarchy. Further tests on the antecedents of R&D expenditures are carried out in relation to the effects of firm characteristics and industry factors. Important findings include a significant and positive association between R&D intensity and the firm's size, performance, intangible assets and industry concentration. These findings suggest that, in addition to firm–level factors and its market environment, network resources and organisation may play an important role in driving the intensity of the firm's R&D expenditures. 相似文献
Scenario and gaming techniques have a number of complementary characteristics. In this article, the design and evaluation of a gaming-scenario experiment for the exploration of development planning in an urban network in the Netherlands is presented. Two gaming sessions were held using two long-term scenarios (2030) as varying contexts. The combined gaming-scenario approach made it possible to evaluate the impact of external future developments and trends on the administrative and spatial development. Evaluation results of the gaming experiment indicate that the gaming-scenario approach generated new and critical insights on development planning and the future of the urban network. Through the game, the principal, the game leaders but most of all the stakeholder-participants experienced and realized that the management of development planning in urban networks is a very difficult task and is full of pitfalls. 相似文献
Economic growth may be developed on the basis on combination of different factors. In this investigation was analyzed the economic growth prediction based on the innovations by field of technology. Gross domestic product (GDP) was used as economic growth indicator. The method of adaptive neuro fuzzy inference system (ANFIS) was applied to the data in order to detect the influential parameters for the GDP prediction. Five inputs are considered: number of granted patents in electrical engineering, number of granted patents as instruments, number of granted patents in chemistry, number of granted patents in mechanical engineering and the number of granted patents in other fields. Results shown that the innovations in electrical engineering has the highest influence on the GDP prediction.
Starting from the dynamic factor model for nonstationary data we derive the factor‐augmented error correction model (FECM) and its moving‐average representation. The latter is used for the identification of structural shocks and their propagation mechanisms. We show how to implement classical identification schemes based on long‐run restrictions in the case of large panels. The importance of the error correction mechanism for impulse response analysis is analyzed by means of both empirical examples and simulation experiments. Our results show that the bias in estimated impulse responses in a factor‐augmented vector autoregressive (FAVAR) model is positively related to the strength of the error correction mechanism and the cross‐section dimension of the panel. We observe empirically in a large panel of US data that these features have a substantial effect on the responses of several variables to the identified permanent real (productivity) and monetary policy shocks. 相似文献
The institutional context of Russia and the recent regime of foreign trade sanctions makes it a natural laboratory to study change in decision making regarding the international activities of SMEs. This research explores how the increased institutional uncertainty is evaluated, enacted and responded to by SMEs that are heavily involved in relations with international suppliers. This longitudinal multiple-case study reveals that although firms simultaneously use both causation and effectuation in their decision making, an increase of institutional uncertainty boosts effectuation. The study shows that the intensity of both types of decision-making logic varies along the studied period in accordance to changing perceptions of institutional uncertainty. Also, the studied firms use effectuation logic differently enabling us to distinguish two types of effectuation with contrasting performance implications: opportunity-driven effectuation and survival effectuation. 相似文献