Search results

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 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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

These results differ from earlier research focusing on mature enterprises.

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.

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.

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.

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.

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.