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1 – 10 of over 47000Changfeng Wang, Sabine Brunswicker and Ann Majchrzak
This study aims to investigate the effects of project-level external knowledge search breadth and search depth on the innovation performance of open innovation (OI) projects in…
Abstract
Purpose
This study aims to investigate the effects of project-level external knowledge search breadth and search depth on the innovation performance of open innovation (OI) projects in large firms; it further considers these effects mediated by two forms of control mechanisms (process and outcome control) when the level of project complexity and the two stages of a project – early (problem definition) and late (solution development) – are taken into account.
Design/methodology/approach
Based on a survey of 187 managers responsible for an OI project, the authors use theory on behavioral-based control mechanisms to explore whether the effect of external knowledge search breadth and depth on OI performance is contingent on having the right levels of control mechanisms in place.
Findings
The results showed that the control mechanism mediates the relationship between external knowledge search breadth and depth and OI project performance. Furthermore, project complexity is an important moderator of these effects, especially for outcome control.
Originality/value
A better OI project’s performance is not achieved by external knowledge search breadth and depth alone, but by building process and outcome control mechanism on it to balance knowledge sharing and protecting tension. Furthermore, Outcome control is only helpful with less complex OI projects.
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Jiangfeng Ye, Yingna Jiang, Bin Hao and Yanan Feng
This study aims to explore the impact of search breadth and depth on corporate entrepreneurship (CE) through the mediating effect of opportunity discovery under the consideration…
Abstract
Purpose
This study aims to explore the impact of search breadth and depth on corporate entrepreneurship (CE) through the mediating effect of opportunity discovery under the consideration of the technological environmental dynamism as a moderating factor.
Design/methodology/approach
This study adopts a quantitative method, collecting 246 questionnaires from high-tech firms in the national industrial park of the Yangtze River Delta zone in China. The authors examine the hypotheses using multiple hierarchical regressions and conduct Sobel and bootstrapping tests to further assess the mediating and moderated mediating effects of the variables.
Findings
The results indicate that both the relationship between search breadth and CE and the relationship between search depth and CE are mediated by opportunity discovery. The authors further show that technological environmental dynamism positively moderates the indirect effect of knowledge search breadth on CE and negatively moderates the indirect effect of knowledge search depth and CE.
Originality/value
This study provides a valuable theoretical framework for entrepreneurship literature by differentiating the effects of search depth and search breadth on the promotion of CE in established firms and pioneers the examination of the mediating role of opportunity discovery and the moderating role of technological environmental dynamism in these links as well.
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Xiaoxiao Shi, Qingpu Zhang and Zuolong Zheng
The purpose of this paper is to analyze the inverted U-shaped relationship between external search in the collaboration network and firm innovation outcomes. It also seeks to…
Abstract
Purpose
The purpose of this paper is to analyze the inverted U-shaped relationship between external search in the collaboration network and firm innovation outcomes. It also seeks to explore whether these curvilinear relationships are moderated by the network centrality and structural holes in the knowledge network.
Design/methodology/approach
In this empirical research, the authors collected a sample of patents in the smartphone industry over the period of 2000-2017. Then the authors examined the direct roles of external search breadth and depth in the collaboration network and the moderating role of network embeddedness in the knowledge network by using negative binomial regression.
Findings
Results found that external search in the collaboration network contributes more to firm innovation outcomes when the breadth and depth of the external search are moderate rather than high or low. Furthermore, both network centrality and structural holes in the knowledge network have positive effects on the external search breadth – innovation outcomes and external search depth – innovation outcomes relationships.
Research limitations/implications
The authors collected the patent data within the single industry and excluded other types of industries. This may limit the generalization of the findings.
Practical implications
The paper has practical implications for adopting appropriate search strategies in the collaboration network and developing a better understanding of the effect of network embeddedness in the knowledge network on firm innovation outcomes. The findings suggest future directions for technology-intensive industries to improve their innovation output.
Originality/value
This study adds value to open innovation literature by pointing out a curvilinear relationship (inverted U-shaped) between external search breadth/depth and innovation outcomes in collaboration networks, in contrast to studies focused on firms’ external collaboration strategies in a certain industry context. Furthermore, this study reinforces the key contingent role of embeddedness in knowledge networks. This study provides a valuable theoretical framework of innovation outcome determinants by connecting the network perspective of open innovation theory with an embeddedness view.
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Yunlong Duan, Shuling Liu, Chang MU, Xiangwei Liu, Edwin Cheng and Yongsong Liu
This study aims to analyze the moderating effect of managerial discretion on the relationship between cross-border knowledge search and the high-tech firms’ innovation quality in…
Abstract
Purpose
This study aims to analyze the moderating effect of managerial discretion on the relationship between cross-border knowledge search and the high-tech firms’ innovation quality in a global health emergency and addresses the following issues: the influence mechanism of different types of cross-border knowledge search on the high-tech firms’ innovation quality in a global health emergency; and the moderating role of different dimensions of manager discretion on the above relationship.
Design/methodology/approach
Based on the firms’ strategy selection methods, the authors divided cross-border knowledge search into three aspects, namely, breadth, depth and balance, and analyzed the impact of cross-border knowledge search on the innovation quality of high-tech firms in a global health emergency, taking managerial discretion as the moderating variable, and divided it into position rights, pay rights and operation rights according to the key rights of firms’ strategic management. Furthermore, the authors constructed a theoretical model, and for an analysis sample, the authors collected data from Chinese high-tech firms from 2013 to 2021.
Findings
The empirical results show that there is an inverted U-shaped relationship between cross-border knowledge search breadth, depth and balance and the innovation quality of high-tech firms. The position rights, pay rights and operation rights of managerial discretion have partially significant moderating effects on the relationship between cross-border knowledge search breadth, depth and balance and the high-tech firms’ innovation quality.
Originality/value
Considerable literature has grown around the theme of the impact of knowledge search on the firms’ innovation quality. Nevertheless, only a few studies draw on the combination of global health emergency, cross-border knowledge search and the innovation quality; in particular, no literature has analyzed the relationship between the three from the managerial discretion perspective. Exploring the above relationships has great theoretical value for enriching and improving knowledge management and innovation management theories and provides a theoretical basis and practical support for high-tech firms to face challenges of a global health emergency and to break through the innovation dilemma.
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Phakpoom Tippakoon, Nattapon Sang-Arun and Panisa Vishuphong
This study aims to examine the effects of external knowledge sourcing breadth and depth and explore whether there exists a complementary effect of breadth (or depth) and knowledge…
Abstract
Purpose
This study aims to examine the effects of external knowledge sourcing breadth and depth and explore whether there exists a complementary effect of breadth (or depth) and knowledge management (KM) capacity on firms’ innovation performance. Specifically, this study investigates the direct effects of breadth, depth and KM capacity on product and process innovation outcomes and tests whether complementary effects exist between breadth and KM capacity and between depth and KM capacity.
Design/methodology/approach
This study uses the survey data of 302 manufacturing firms in Thailand and uses ordinal regression analysis to test the hypotheses empirically.
Findings
Regression results reveal that breadth and KM capacity are essential for enhancing firms' innovation performance, while depth is not significant. However, the authors do not find a significance of complementary effects between breadth and KM capacity and depth and KM capacity on firms’ innovation performance.
Originality/value
This study provides additional evidence to contribute to an ongoing debate on what knowledge sourcing strategies (breadth or depth) are significant for enhancing firms’ innovations. Moreover, it explores whether complementary effects between KM capacity and breadth/depth exist in determining firms' innovation performance, which is a neglected issue in the existing literature.
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The purpose of this paper is to analyze the differential effects of two external search strategies on radical innovation (RI) and incremental innovation (II) and explore the…
Abstract
Purpose
The purpose of this paper is to analyze the differential effects of two external search strategies on radical innovation (RI) and incremental innovation (II) and explore the mediating role of knowledge integration capability (KIC).
Design/methodology/approach
The paper is based on the data collected from a sample of 241 firms from Chinese electronic information industry. The author conducted a hierarchical regression analysis using SPSS and PROCESS to test the proposed hypotheses.
Findings
The results showed that both external search breadth and depth have positive effects on RI/II performance. The author also found that the effect of search breadth on RI is greater than that on II, and the effect of search depth on RI is less than that on II. Moreover, the author discovered that KIC fully or partially mediates the relationship between external search strategies and RI/II.
Originality/value
The paper provides a finer grained understanding concerning the difference in the impacts of the two external search strategies on RI/II performance. The paper also adds to the existing literature by explaining the path in which external knowledge search influences RI/II through the mediation effect of KIC.
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Manzoor Ul Akram, Koustab Ghosh and Rojers P. Joseph
This study aims to investigate the external knowledge search behaviors in terms of search breadth and search depth in family firms and the resultant product innovation in Indian…
Abstract
Purpose
This study aims to investigate the external knowledge search behaviors in terms of search breadth and search depth in family firms and the resultant product innovation in Indian context. The authors theorize the mediating role of absorptive capacity (potential and realized absorptive capacity) between knowledge sourcing from external sources and product innovation. Further, the authors examine the moderating role of crucial internal social capital of the family firm in enhancing the use of external knowledge for firm innovation activities.
Design/methodology/approach
The study uses a quantitative research design taking single informant for collection of data from 151 family small and medium enterprises in automotive sector in India. The authors use structural equation modeling to test hypothesized relationships.
Findings
The findings indicate that both search breadth and search depth of family firms are positively associated with product innovation in family firms. The authors also find evidence for partial mediating role of potential and realized absorptive capacity in the relationship between search breadth and innovation and search depth and innovation. The results show how family firms learning taking place while scanning external knowledge sources in terms of external absorptive capacity routines. Finally, the authors find that family firm internal social capital positively moderate the relationship between search breadth and depth, and product innovation.
Practical implications
Family firms need to innovate to remain relevant in the long-run and as such development of superior capabilities is of great significance to them. Family firm managers must be open to external knowledge as such knowledge help them improve the firm level of innovation through absorptive capacity. Further, family firms must realize and act upon the importance of their social capital for the integration and utilization of acquired knowledge.
Originality/value
This paper is amongst a few papers that take dynamic capability views of innovation in family firms wherein the authors theorize how external search breadth and depth lead to the development of potential and realized absorptive capacity in family firms. The importance of family firm internal social capital as a strong integrating and knowledge sharing mechanism that helps family firms transform external knowledge into innovation is also highlighted.
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Zhengyun Rui and Kalle Lyytinen
New ventures search for external knowledge to break through the prevailing knowledge and resource constraints. The influence of search mechanisms can be assessed against the…
Abstract
Purpose
New ventures search for external knowledge to break through the prevailing knowledge and resource constraints. The influence of search mechanisms can be assessed against the backdrop of internal factors such as the venture’s knowledge integration (KI) capability. The purpose of this paper is to study the effects of knowledge search depth (KSD) and knowledge search breadth (KSB) on innovation outcomes and asks to what extent such effects are mediated by levels of KI.
Design/methodology/approach
The authors distinguish between the current depth and width of the firm’s knowledge base as to detect their possible moderating effects. The authors test the model using data collected from 167 Chinese start-ups.
Findings
The results show that KSB has a positive effect on KI and innovation performance, but KSD has an inverted U-shaped effect on KI and innovation performance. KI plays a mediating role between external knowledge search and innovation performance, while the breadth of the venture’s knowledge base positively moderates the relationship between explorative KI and innovation performance, and the depth of knowledge base positively moderates the relationship between exploitive KI and innovation performance.
Originality/value
These results differ from earlier research focusing on mature enterprises.
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Rafael Lorenz, Christoph Benninghaus, Thomas Friedli and Torbjørn H. Netland
Manufacturers seek to innovate and improve processes using new digital technologies. However, knowledge about these new technologies often resides outside a firm's boundaries. The…
Abstract
Purpose
Manufacturers seek to innovate and improve processes using new digital technologies. However, knowledge about these new technologies often resides outside a firm's boundaries. The authors draw on the concept of absorptive capacity and the literature on open innovation to explore the role of external search in the digitization of manufacturing.
Design/methodology/approach
The authors developed and distributed a survey to manufacturing firms in Switzerland, for which 151 complete responses were received from senior managers. The authors used multiple linear regressions to study the relations among the breadth and depth of external search, firms' adoption of digital technologies and operational performance outcomes.
Findings
External search depth was found to relate positively to higher adoption of computing technologies and shop floor connectivity technologies. No significant correlation was found between external search breadth and firms' adoption of digital technologies. Regarding performance outcomes, there is some evidence that increased adoption of digital technologies relates positively to higher volume flexibility, but not to increased production cost competitiveness.
Practical implications
Manufacturing firms that aim to digitize their processes can benefit from inbound open process innovation, but its utility varies for different clusters of digital technologies. Generally, the findings suggest that firms should build strong ties with a few external knowledge partners rather than surface relations with many.
Originality/value
This study contributes to the growing literature on the digitization of manufacturing with an analysis of the relation between firms' external search and their adoption of digital technologies. It adds early empirical insights to the literature on open process innovation.
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Le Wang, Jun Lin, Jie Yan and Wentian Cui
The purpose of this paper is to investigate the combined effects of different modalities of long-term knowledge accumulation and short-term knowledge searching on the generation…
Abstract
Purpose
The purpose of this paper is to investigate the combined effects of different modalities of long-term knowledge accumulation and short-term knowledge searching on the generation of high-impact ideas. The authors aim at providing useful conclusions for academic scholars.
Design/methodology/approach
Two dimensions of the cumulative knowledge structures of researchers are measured: knowledge depth and knowledge breadth. The search strategies employed by researchers are classified as local search and distant search. The authors use researchers’ historical publications to measure cumulative knowledge structures. References contained in these publications serve as an indicator of knowledge searching behaviors and are used to measure search strategies. Highly cited papers with random-but-matched papers from the same journal published in the same year are adopted to test the hypotheses.
Findings
The knowledge depth of researchers positively predicts the generation of high-impact ideas. Knowledge breadth has a bell-shaped relationship to the generation of high-impact ideas. Two instances of “strategic fit” between the knowledge structures and search strategies of researchers are identified; namely, knowledge breadth combines most effectively with local search, and knowledge depth combines most effectively with distant search in generating high-impact ideas.
Research limitations/implications
Using article references to measure authors’ knowledge search behaviors may lead to biases. Future research should perform a survey to obtain a comprehensive understanding of the knowledge search behaviors of scholars.
Practical implications
A “T-shaped” knowledge structure in the long run is recommended for maximal generation of high-impact ideas. Researchers who have not adopted this optimal knowledge structure can employ a matched search strategy to leverage their existing knowledge structures.
Originality/value
This paper is among the first to examine the interactive effects between the cumulative knowledge structures and short-term knowledge searching strategies of researchers. The authors have enriched the exploration and exploitation theory by adding the dimension of time into the analysis.
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