The impact of network embeddedness to the enterprise’s technological innovation performance in the environment uncertainty: Considering the mediation and adjustment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongyun Tian ◽  
Shuja Iqbal ◽  
Farooq Anwar ◽  
Shamim Akhtar ◽  
Muhammad Aamir Shafique Khan ◽  
...  

PurposeThis study examines the impact of network embeddedness (NE) on innovation performance in small- and medium-sized enterprises (SMEs), and analyses absorptive capacity as mediator and openness as moderator.Design/methodology/approachData were collected from 209 employees of SMEs using a convenient sampling technique. Partial least squares structural equation modeling in SmartPLS was used to analyze the various constructs.FindingsThe results exhibit a positive and significant relationship in NE and absorptive capacity. Also, this study found a positive and significant relationship in absorptive capacity and innovation performance. Moreover, absorptive capacity has a positive and significant mediation role in the relationship between NE and innovation performance. Also, openness positively moderated the relationship of NE and absorptive capacity.Practical implicationsSMEs should try to implement the functions of NE, such as interaction with other firms in higher frequency, developing trust among all parties, clear alliance among the partners to enhance innovation performance. Similarly, SMEs should focus on absorptive capacity and openness to enrich innovation performance.Originality/valueThis study adds in the current literature of the chosen constructs and empirically contributes the effects in the manufacturing industry of Jiangsu Province, China.


2010 ◽  
Vol 1 (2) ◽  
pp. 163-186 ◽  
Author(s):  
Antonio K.W. Lau ◽  
Richard C.M. Yam ◽  
Esther P.Y. Tang

2018 ◽  
Vol 33 (2) ◽  
pp. 123
Author(s):  
Arif Hartono ◽  
Ratih Kusumawardhani

Since the term Open Innovation (OI) was coined by Henry Chesbrough in 2003, OI studies have been frequently conducted. Surprisingly, OI insights, in the context of Indonesian firms, are scarce. Furthermore, there are no existing OI studies that use data derived from innovation surveys. Hence, this study attempts to close the gap in the literature, by providing insights into Indonesian firms’ openness toward external knowledge, and its impact on innovation performance. The main aim of this study is to investigate the impact of OI practices on Indonesian manufacturing firms’ propensity to innovate (i.e. their product, process, organization, and marketing) and innovation performance. Product and process innovations are grouped under the term technological innovation, while organization and marketing innovations are classified as non-technological innovation. Data used in this study were derived from the Indonesia Innovation Survey (IIS) 2011 that covered the period from 2009-2010. Following Laursen and Salter’s (2006) study, OI indicators consist of external search breadth (i.e. the number of external sources or search channels that firms rely upon in their innovative activities) and depth (the extent to which firms draw deeply from the different external sources or search channels) in innovation process. Undertaking logistic and tobit regressions, this study shows that in general, both breadth and depth significantly and positively affect technological and non-technological innovation, as well as innovation performance. However, the over-search on external knowledge, measured by breadth squared and depth squared, negatively and significantly influence innovation and innovation performance. This indicates that too much external knowledge, sourced during the innovation process will diminish the return of innovation. This study also finds an indication of a complementary relationship existing between internal R&D and external knowledge; meaning that the implementation of one knowledge-sourcing strategy (either sourcing from internal R&D or external knowledge) increases the marginal returns from another. Lastly, important implications related to theoretical and innovation strategies are proposed. 


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hao Jiao ◽  
Jifeng Yang ◽  
Cheng Jiang ◽  
Jiawei Yu

PurposeThis research helps firms pursue an open innovation strategy but want to minimize competitive pressure from other external entities. A theoretical framework is constructed to analyze the impact of openness on innovation performance, exploring different effect of firms' external search channels.Design/methodology/approachThis paper employs a stepwise hierarchical regression approach to assess the effect of openness on technological innovation considering the role of information technology adoption and political ties. The effect is conducted using a large-scale sample of 1,073 Chinese manufacturing firms over the period 2011–2013 as empirical research objects.FindingsThere are two stages of the open technological innovation process while the information technology (IT) adoption and political ties are the key consideration in emerging markets. Openness is curvilinearly (taking an inverted U-shape) related to innovation performance. Both information technology adoption and political ties generally help firms to turn broadly sourced external knowledge into technological innovation performance. This will stimulate “one plus one is greater than two” effect not only in the process of achieving performance goals, but also in the process of technological innovation.Originality/valueThis quantitative research illustrates the importance relationship between firms' open behaviors and technological innovation performance in emerging markets. It helps us understand firms' current constrains of open strategy of technological innovation and helps domestic or foreign investors to make strategic collaboration choices in emerging economies according to the degree of openness, informatization level, political connections, which is equally important for research and practice.


Author(s):  
Akan Nurbatsin

Kazakhstani companies have a long-standing problem of low technological innovation performance. With the increasing complexity of technology research and development and the continuous increase of costs and risks, cooperative research and development between enterprises has become one of the important ways of corporate innovation. This article is based on the World Bank 2019 Survey Data of Kazakhstani companies, the propensity score matching method and the generalized propensity score matching method are used to investigate the impact of inter-firm cooperative R&D decisions and the intensity of inter-firm cooperative R&D on the technological innovation performance of enterprises. The research results show that compared with not carrying out cooperative R&D between enterprises, carrying out cooperative R&D among enterprises can significantly improve the technological innovation performance of enterprises; only when the intensity of cooperative R&D between enterprises is at a relatively low level, increasing cooperative R&D between enterprises can significantly improve the technological innovation performance of enterprises, and when the intensity of cooperative R&D is too high, it will not effectively improve the technological innovation performance of enterprises.


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