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In the context of collaborative research and development (R&D), multi-actor participation and multi-resource integration of technological knowledge has become the mainstream paradigm for the R&D and spillover of industry generic technology (GT). As GT's core characteristics, “fundamentality” and “externality,” make differential requests on knowledge bases regarding the R&D and spillover of GT (SGT). Knowledge breadth can enhance the generality of technology. The purpose of this paper is to integrate “generic technology R&D” and “generic technology spillover” into a single study, and try to solve the theoretical problem of “whether broader mean more general?”

This paper collects and collates the patent data from the two patent databases of Derwent and SooPAT, and then makes an empirical analysis of the patent data collected by the authors with the data analysis software Stata.

Taking 352 strategic emerging firms in China as the sample, this paper examined the effects of general knowledge breadth (GKB) and specific knowledge breadth (SKB) on the R&D and SGT. The authors concluded that both general and SKB have a positive effect on the R&D of GT (RGT), and the latter has a greater effect. There is a significant inverted U-shaped relationship between SKB and SGT.

The theoretical contributions of this paper are as follows. GT can effectively link different technologies and knowledge fields (Gambardella and Giarratana, 2013; Appio et al., 2017a, b). Therefore, existing studies regard the role of knowledge breadth on the R&D and SGT as an existing hypothesis. This paper challenges such hypothesis in two ways. First, this paper divides knowledge breadth into “general knowledge breadth” and “specific knowledge breadth” in response to the insufficient division of knowledge breadth in previous research, although some existing studies have examined the antecedents of the R&D and SGT from the perspective of R&D and SGT. Thus, the authors define GKB as the scope of context-free knowledge and SKB as the scope of context-specific knowledge, both of which shows differential nature, source and application. Second, this paper decomposes the effect of knowledge breadth on RGT, as well as on SGT, basing on distinguishing the SKB from GKB. Existing research reaches a consensus of the positive role of knowledge breadth, no matter on RGT or SGT (e.g. Schmidt et al., 2016; Appio et al., 2017a, b). Yet, such hypothesis ignores the refinement and decomposition of “knowledge breadth” in the research field of R&D and SGT, which is essential in promoting the development of GT theory. In this paper, the authors find that these two types of knowledge breadths play different roles in the RGT, and especially SKB plays a double-edged sword effect on the SGT.

The purpose of this paper is to examine how the knowledge breadth and depth and the balance of the two affect various dimensions of the innovation performance under the consideration of the organizational slack as a moderating factor of the analysis framework.

This study constructs and verifies a research model of knowledge breadth and depth to the explorative and exploitative innovation performance, using the exploratory factor analysis and the hierarchical regression analysis based on a survey sample of 320 Chinese companies.

The knowledge base is a critical foundation for improving innovation performance of an enterprise. A more detailed analysis reveals that first knowledge breadth provides more benefits for explorative innovation performance while the knowledge depth is more advantageous to exploitative innovation performance of an organization. Second, organizational slack can positively facilitate the improvement of the knowledge depth for the explorative innovation performance while an optimal balance of the knowledge breadth and depth can significantly enhance exploitative innovation performance.

This paper contributes to previous research work by providing both specific comparative studies and a clear explanation of the impacts of different dimensions of the knowledge base, i.e., knowledge breadth and knowledge depth, on innovation performance measures of both exploration and exploitation through a comprehensive empirical study. In particular, organizational slack is found to play a much more complicated moderation role between the knowledge base and the two different dimensions of innovation performance than has been demonstrated in previous research.

The purpose of this paper is to explore how the depth and breadth of firms' technological knowledge affect their performance.

An empirical investigation of a sample of US manufacturing firms was conducted. The main independent variables were measured using firms' patent data. Three hypotheses based on theory were developed and tested using multivariate regressions. To increase reliability, alternative industry and firm explanators of performance are controlled.

The depth and breadth of technological knowledge, rather than total stock, are significantly better at predicting three measures of firm performance that was used in the study – return on invested capital, sales growth, and Tobin's q. The two knowledge dimensions exhibited either independent non‐linear effects or mutually reinforcing effects on each of the three performance measures.

The study is limited to a fine‐grained analysis of effects of technological knowledge. It does not take into account the facilitating role of marketing and administrative knowledge.

Corporate managers need to measure the depth and breadth of their technological knowledge stocks and include them in their planning models. Extreme combinations of depth and breadth need to be corrected and brought into balance.

The paper represents one of the few studies to disaggregate a firm's total stock of technological knowledge into its depth and breadth components.

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.

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.

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.

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.

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 study aims to examine how the knowledge breadth and depth of a patent affect its likelihood of being pledged. It also seeks to explore whether these relationships change diversely in different technological environments.

A complementary log-log model with random effects was conducted to test the hypotheses using a unique data set consisting of 348,927 invention patents granted by the China National Intellectual Property Administration from 1985 to 2015 belonging to 74,996 firms.

The findings reveal that both knowledge breadth and depth of a patent positively affect its likelihood of being pledged. Furthermore, the knowledge breadth and depth entail different degrees of superiority in different technological environments.

This study focuses on the effect of an individual patent’s knowledge base on its likelihood of being selected as collateral. It does not consider the influence of the overall knowledge characteristics of the selected patent portfolio.

Managers need to pay attention to patents’ knowledge characteristics and the changes in technological environments to select the most suitable patents as collateral and thus improve the success rate of pledge financing.

This study explores the impact of multidimensional characteristics of knowledge base on patent pledge financing within a systematic theoretical framework and incorporates technological environments into this framework.

Effectively engaging patients is critical for the sustainable development of online health communities (OHCs). Although physicians’ general knowledge-sharing, which is free to the public, represents essential resources of OHCs that have been shown to promote patient engagement, little is known about whether such knowledge-sharing can backfire when superfluous knowledge-sharing is perceived as overwhelming and anxiety-provoking. Thus, this study aims to gain a comprehensive understanding of the role of general knowledge-sharing in OHCs by exploring the spillover effects of the depth and breadth of general knowledge-sharing on patient engagement.

The research model is established based on a knowledge-based view and the literature on knowledge-sharing in OHCs. Then the authors test the research model and associated hypotheses with objective data from a leading OHC.

Although counterintuitive, the findings revealed an inverted U-shape relationship between general knowledge-sharing (depth and breadth of knowledge-sharing) and patient engagement that is positively associated with physicians’ number of patients. Specifically, the positive effects of depth and breadth of general knowledge-sharing increase and then decrease as the quantity of general knowledge-sharing grows. In addition, physicians’ offline and online professional status negatively moderated these curvilinear relationships.

This study further enriches the literature on knowledge-sharing and the operations of OHCs from a novel perspective while also offering significant specific implications for OHCs practitioners.

In order to explore the role of enterprise social network (ESN), this study examines how the different dimensions of ESN use – within teams and across teams – facilitate knowledge acquisition in organizations and how knowledge acquisition, in turn, impacts exploitative and exploratory innovation performance.

This study applied the survey approach to collect a valid sample of 150 Chinese companies that had innovation activities and were using ESN. The partial least squares (PLS) technique was used for data analysis to test the research model and hypotheses.

ESN use within teams has a positive impact on knowledge depth and knowledge breadth, and ESN use across teams has a positive impact on knowledge depth. Knowledge depth and knowledge breadth are both beneficial for innovation performance. The two types of ESN use have different impacts on knowledge depth and knowledge breadth; moreover, knowledge depth and knowledge breadth have different impacts on innovation performance. Specifically, the impacts of ESN use within teams and across teams on exploitative innovation performance are mediated by knowledge depth; the impact of ESN use within teams on exploratory innovation performance is mediated by knowledge breadth.

This paper can enhance the understanding of the importance of ESN use and ESN's role in facilitating knowledge acquisition and innovation performance.

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 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.