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Prior research on open innovation has not investigated changes in knowledge acquisition strategies of firms over time overlooking how learning from past knowledge acquisition can change subsequent search strategies. Also, prior research has focused principally on product innovation overlooking process innovation. The purpose of the paper is to introduce the concept of dynamic openness, which is defined as temporal changes in external knowledge search strategy. We explore four dynamic openness strategies – closing down, opening up, persistent open and persistent closed – and examine the impact of these strategies on both product and process innovation.

The authors used a panel dataset of 16,021 firms based on five waves (2009–2017) of the UK Community Innovation Survey (UKIS). All models are estimated using firm and year fixed effects (FE) method to control for endogeneity that arises from unobserved heterogeneity. Endogeneity and robustness tests were carried out to ensure the validity of results.

The results show that firms do use dynamic openness strategies over time leveraging learning from past searches. Specifically, the study indicates that closing down is not an effective strategy for either type of innovation. For process innovation, firms should pursue opening up strategy rather than persistent open strategy, whereas for product innovation firms could pursue either strategy, highlighting important contextual differences.

The paper contributes to the literature on knowledge acquisition in open innovation: (1) by theorizing the underlying reasons – learning from past collaborations, absorptive capacity and external knowledge heterogeneity – why firms pursue one dynamic openness strategy over another and (2) by extending literature by delineating the dynamic openness strategies that firms should pursue in process innovation vs product innovation.

This paper tests which theoretical perspective(s) can better explain firms’ external knowledge search behavior. Information processing and resource-based view theories propose a positive relationship between environmental turbulence and knowledge search breadth, whereas transaction cost economics and managerial attention theoretical perspectives posit that knowledge search breadth will be negatively influenced by environmental turbulence. In the context of Chinese small- and medium-sized enterprises (SMEs), this study examines the direct effect of environmental turbulence and the interactive effect of environmental turbulence and absorptive capacity (ACAP) on external knowledge search breadth.

This study adopted firm-level data collected via questionnaires from SMEs within the manufacturing sector in China. The partial least squares method was used to explore the determinants of the external knowledge search breadth of Chinese SMEs.

The results reveal that external search breadth tends to increase with an increase in a firm’s perceived environmental turbulence. In addition, the interaction between ACAP and environmental turbulence will be negatively related to external knowledge search breadth. The empirical evidence indicates information processing and resource-based view theories are more powerful in explaining the external knowledge search behavior of Chinese SMEs.

Unlike most of the innovation search literature, which have focused on the effect on performance of external search, this study focuses on the antecedents of firms’ innovation search behavior. The study contributes to the understanding of the relationship between environmental turbulence and knowledge search breadth as well as the understanding of the influence of ACAP on external knowledge search in the context of SMEs from emerging economies.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The authors collected the patent data within the single industry and excluded other types of industries. This may limit the generalization of the findings.

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.

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.

This study focuses on resolving empirical inconsistencies in the relationship between external search breadth and innovation performance. Based on research on the knowledge-based view and innovation barriers, three internal barriers that weaken the effectiveness of external search breadth are discerned: information, rigidity and financial barriers.

For empirical analysis, the Korean Innovation Survey 2016 of manufacturing firms was utilized. This study defines innovation performance as the number of patent applications and new product introduction that are analyzed through zero-inflated negative binomial and logistic regressions, respectively.

The empirical analysis showed three findings. First, external search breadth has a positive relationship with the number of patent applications but not with new product introduction. Second, financial barrier weakens the positive association of external search breadth with the number of patent applications. Third, the interactions of external search breadth with the three internal barriers are negatively related to new product introduction.

This study makes two theoretical contributions. First, by examining barriers to external knowledge search, this research helps identify potential bottlenecks in this search. Second, the study reveals that the effectiveness of external search breadth may have a boundary in firm innovation by showing that this search affects patent application and new product introduction differently.

The purpose of this paper is to show that the high learning ability associated with innovative firms enables these firms to conduct a broad knowledge search based on a knowledge transfer perspective. This paper further shows that knowledge tacitness and relationship between knowledge senders and receivers will accentuate this positive relationship.

To test the proposed model, a pooled panel data set based on 102 Korean firms that participated in three waves of National Korean Innovation Surveys conducted in 2002, 2005, and 2008 is constructed. Since the independent variables are lagged in the analysis, the panel data comprised 204 firm-year observations of the 102 firms. Generalized estimating equations were used to analyze the effect of innovation on knowledge search breadth.

The authors found that absorptive capacity mediated the relationship between innovation and knowledge search breadth. This mediating relationship was stronger when a firm is not affiliated with any business group and operates in the high-technology industry.

This paper showed that innovation is not only a consequence of knowledge search as found in existing literature, but also is a precursor to knowledge search.

This paper developed a novel theoretical model on innovation and knowledge search that highlights a virtuous cycle between innovation and knowledge search. Methodologically, the pooled panel data controlled for lagged effect and enhanced efficiency of econometric models, thus offered several advantages over cross-sectional data.

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

This study uses the survey data of 302 manufacturing firms in Thailand and uses ordinal regression analysis to test the hypotheses empirically.

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.

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.