scholarly journals CAN FOUNDERS’DUAL ROLESFACILITATE INNOVATION? – FROM THE PERSPECTIVE OF FOUNDERS’ R&D NETWORK CHARACTERISTICS

2021 ◽  
Vol 22 (5) ◽  
pp. 1288-1307
Author(s):  
Yanhui Jiang ◽  
Danping Wang ◽  
Qianfang Zeng

Founders are crucial for the start-ups, which in turn makes it very important to study how founders’ behaviour affects the development of the start-ups. Based on the data of the companies listed on Growth Enterprise Market (GEM) and Small & Medium Enterprise (SME) board from 2014 to 2017 in China, this paper explores the impact of founders’ dual roles of R&D and management on enterprises’ innovation performance from the perspective of founders’ R&D network characteristics. The empirical research reveals that the more an enterprise’s founders participate in the R&D activities and the more central they are in the R&D network, the better the enterprise’s technological innovation performance. It is because the high network centrality enables founders the stronger ability of innovation and opportunity identification and draws their attention to innovation. This research further discloses that the promotion effect is restrained when enterprises obtain more government subsidies and founders have more power. Italso finds that founders’ R&D role does not transform the innovation output into enterprises’ value effectively though the role increases the innovation output, instead, it even restrains the transformation.

2019 ◽  
Vol 34 (6) ◽  
pp. 1388-1400 ◽  
Author(s):  
Haifeng Wang ◽  
Yapu Zhao ◽  
Beilei Dang ◽  
Pengfei Han ◽  
Xin Shi

Purpose The impact of network centrality on innovation performance is inconclusive. The purpose of this paper is to examine how formal and informal institutions affect the influence of network centrality on firms’ innovation performance in emerging economies by integrating social network theory and institutional theory. Design/methodology/approach Multisource and lagged data from 234 technology-based entrepreneurial firms listed on the Chinese Growth Enterprise Market were leveraged to test a proposed research model. Findings Results suggest that formal institutions (marketization) positively moderate the relationship between network centrality and innovation performance, whereas informal institutions (social cohesion) negatively moderate this relationship. Moreover, formal and informal institutions have a strong joint impact on such relationship, that is, the effect of network centrality on innovation performance is most positive when marketization is high and social cohesion is low. Originality/value This empirical research provides new insights into whether and how firms can grasp the innovation benefits of network centrality by exploring institutional contingencies. It further sheds on light the scope of the network centrality–innovation issue by extending its research context to Chinese entrepreneurial firms.


2017 ◽  
Vol 20 (1) ◽  
pp. 112-134 ◽  
Author(s):  
Francesca Michelino ◽  
Antonello Cammarano ◽  
Emilia Lamberti ◽  
Mauro Caputo

Purpose The purpose of this paper is to provide a methodological framework for evaluating the impact of open innovation (OI) adoption on start-up ventures at the knowledge domain level, taking into account the technological specialization and the quality of innovation output. Design/methodology/approach The framework employs patent data for investigating joint development activities between start-ups and partners, thus defining an openness degree of R&D. The partner typology and the levels of specialization on the knowledge fields affected by each invention are investigated. The methodology is tested on a sample of bio-pharmaceutical start-ups. Findings On average, the openness level in the start-up phase is higher than the consolidation one. Furthermore, the higher the level of openness during the start-up phase, the higher the propensity to collaborate with scientific organizations. And yet, the occurrence of R&D collaborations is positively correlated to the level of specialization on the knowledge fields involved in joint development activities. Practical implications OI strategies are valuable for start-ups, particularly in the bio-pharmaceutical industry, since their adoption improves the quality of innovation output. This is particularly true when R&D collaborations are established with scientific entities. Originality/value This work investigates the impact of OI adoption on start-up ventures at the knowledge domain level, by employing objective and standardized data. Hence, the methodology can be considered as a first step in developing a useful tool for managers, researchers and business analysts.


2015 ◽  
Vol 19 (01) ◽  
pp. 1550012 ◽  
Author(s):  
GIOVANNI MANGIAROTTI ◽  
ANNE-LAURE MENTION

This study contributes to the scarce stream of literature that concentrates on measuring the firm-level effects of knowledge management (KM) strategies on innovation performance. It evaluates the impact of codification and personalisation strategies, both individually and jointly, distinguishing between innovation propensity and innovation output. The research applies a knowledge production function (KPF) approach to the Community Innovation Survey (CIS) data for Luxembourg. Reliance on internationally agreed definitions and focus on an open international economy largely dominated by innovative service firms provide an original and significant contribution to the available empirical literature. Findings indicate that personalisation and codification effects on innovation propensity are highly comparable. In contrast, personalisation exerts a positive effect on innovation output, whereas codification does not. Results further advocate that codification affects output only when combined with personalisation. However, the adoption of mixed strategies does not seem to be more effective than a pure personalisation strategy.


Author(s):  
Yanran Ma ◽  
Jianfeng Cai ◽  
Yiqi Wang ◽  
Umar Farooq Sahibzada

Based on information asymmetry, agency theory and resource-based view (RBV), this study investigates the impact of venture capital (VC) on venture firm innovation performance, ascertains the extent to which VC affects venture firm innovation performance and finds the mediating effect of management incentives. Constructing a sample of a novel panel dataset of firms listed on the SME Board of China, we examined a sample of 927 start-ups between 2008 and 2017, showing a notable negative relationship between VC and Patent, and a positive relationship between VC and total factor productivity (TFP), providing stable evidence that VC could not spur firm patent directly, but facilitate the commercialization of innovation. Moreover, it shows that management equity incentives (MEI) and management cash incentives (MCI) playing significant positive mediating role between VC and TFP, while there is no mediating effect between VC and Patent. Findings of this study strengthen the experience of VC and suggest how practitioners of SMEs to enhance the commercialization of innovation, considerably extends our understanding of the impact of VC on venture firm innovation performance.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mari O' Connor ◽  
Justin Doran ◽  
Nóirín McCarthy

PurposeThis paper combines the concepts of search depth and cognitive proximity to investigate the impact of intense collaboration with different external agents on firms' innovation performance. It empirically tests whether firms that draw deeply on cognitively proximate collaborative partners are more innovative than those collaborating intensively with cognitively distant partners. It explores whether the impact of each external agent is equally important in determining the innovation output of firms.Design/methodology/approachUsing data from the Irish Community Innovation Survey 2012–2014, this paper employs a probit model to empirically test the impact of collaboration with cognitively proximate and distant sources of external knowledge to establish whether their impact on innovation performance is uniform.FindingsThe results show that not all collaborators equally impact firm innovation performance. Firms who indicate that knowledge sourced from backward linkages with suppliers is highly important are more likely to engage in both product and process innovation, with the effect more pronounced for the former. The extent of this is greatest for backward linkages compared to forward, horizontal and public linkages. Public linkages have the weakest impact on innovation output which raises questions from a policy perspective given the focus on university–industry collaboration for innovation. The findings indicate that collaboration with cognitively proximate sources of knowledge benefits firms' innovation output.Originality/valueThe study provides empirical evidence on the role of intense collaboration with cognitively proximate and distant external knowledge sources to explore their impact on the subsequent innovation performance of firms. The results can be used to help shape firm-level innovation policy, and indeed national policy, to promote innovation performance.


2019 ◽  
Vol 11 (24) ◽  
pp. 7249 ◽  
Author(s):  
Hong Jiang ◽  
Sipeng Gao ◽  
Yang Song ◽  
Kuang Sheng ◽  
Gehan A. J. Amaratunga

Against the background of economic globalization, high-technology enterprises need to focus on the characteristics of corporate collaboration R&D networks and Standard-Setting. In this paper, theoretical research on corporate collaboration R&D network characteristics, technology standard-setting capability, and technology innovation performance is carried out, and a theoretical model and hypotheses are constructed. We apply Structural Equation Modeling (SEM) to conduct an empirical analysis based on national data surveys of 12 industries. The conclusions are as follows: (1) Corporate collaboration R&D networks and technology standard-setting capability have a positive and significant impact on technology innovation performance; (2) Technology’s standard-setting capability has been identified to play a full intermediary role in the relationship between the breadth of connections and innovation efficiency. This paper provides a practical reference for enterprises to assess the value of collaborative R&D networks and improve their technology standard-setting capability for enhanced economic efficiency.


2020 ◽  
Vol 31 (3) ◽  
pp. 770-795
Author(s):  
Barak S. Aharonson ◽  
Suleika Bort ◽  
Michael Woywode

We theorize that vicarious learning theory provides a framework for understanding how small- and medium-sized start-ups can learn from the activity of a variety of regional actors, not just from the activity of colocated peer firms (i.e., other start-ups). Furthermore, we suggest that the magnitude of the impact of vicarious learning is influenced by a firm’s own specific experience with a variety of actors. We use longitudinal data of the population of German biotechnology start-ups and pharmaceutical multinational corporations (MNCs) between 1996 and 2015 across 19 German biotechnology regions. We show that colocated start-ups’ international expansion is positively impacted by the regional network centrality of colocated MNCs and that this relationship is moderated by a start-up’s direct alliance experience with these entities. Our results highlight how important it is for researchers to differentiate the distinct and separate influences a wide variety of actors have on vicarious learning to more clearly identify outcomes of this influence. We also provide evidence that the influence of MNCs is heterogeneous and depends on whether MNCs are domestic or foreign and on their R&D intensity, yet find that country of origin has no significant influence. Our study makes a number of contributions, one of which is research on alliances, supporting conflicting arguments on the subsequent impacts of experience. We further find that certain types of alliance experience may not be transferrable to induce start-ups’ future international expansion, and in some cases may even hinder it.


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