Search results

The purpose of this paper is to explore the effects of product and process innovation on the relationships between knowledge combination capability and organizational performance.

The data were collected from small and medium‐sized enterprises (SMEs) belonging to the sector of Spanish technology‐based firms (TBFs). This study employs the structural equation model (SEM) to examine the relationships between product and process innovation, knowledge combination capability, and organizational performance.

The findings of this study suggest, first, that knowledge combination capability has a significant impact on product and process innovation. Second, product and process innovation mediate the relations between knowledge combination capability and organizational performance.

The sample includes only firms in the technology sector; future studies could analyze another kind of organization. Further studies might also use a wider sample that encompasses several countries.

This paper implies that, to achieve better performance in technology SMEs, the managers should focus more on knowledge combination capability to improve innovation, as this is the key to excellent business performance.

This study contributes to the literature on innovation and knowledge. It examines the mediating effects of product and process innovation, knowledge combination capability, and organizational performance in technology SMEs. The research demonstrates empirically that innovation strengthens the effect of knowledge on firm performance in the sector studied.

A firm's inventions provide technical information for product planning and technical support for new product development (NPD). In the knowledge-based theory, inventing is regarded as a process of knowledge combination. This paper aims to classify the firm's inventive capabilities based on the combinatorial view and investigate the effects of inventive capabilities on NPD performance.

Four types of inventive capabilities are identified concerned with the knowledge used to combine in the inventive activities. By utilizing a dataset of 572 firms from China's automotive manufacturing industry, the roles of different inventive activities in the generation of new inventions are compared. Then the effects of different inventive capabilities on NPD performance are empirically examined by using negative binomial regression analysis.

The time series for the number of patented inventions derived from different types of combinations generally exhibits a steady upward trend, and the number of patents derived from recombination is much higher. The empirical results demonstrate that the inventive capabilities associated with reused recombination and creative recombination exhibit positive effects on NPD performance, and the inventive capabilities associated with novel combination and original combination exhibit non-linear effects on NPD performance.

The findings contribute to NPD literature by investigating the effects of different inventive capabilities on NPD performance. This study also provides guidelines for manufacturing managers to improve NPD performance by building appropriate inventive capabilities.

The purpose of this paper is to elucidate how the advice-giving affects innovative capability by involving knowledge exchange and combination as a mediator and contextual ambidexterity as an important contingency.

Based on a survey of 96 Chinese teams, a set of hypotheses was tested using regression analyzes.

The findings showed that contextual ambidexterity moderates the indirect effect of advice-giving on innovative capability through knowledge exchange and combination. When contextual ambidexterity is high, workers engage in more knowledge exchange and combination for the team at intermediate levels of advice-giving, the indirect effect of advice-giving at low levels and at high levels exist. When contextual ambidexterity is low, there is no indirect effect of advice-giving at any level.

Managers should be aware of the inverted U-shaped relationship between advice-giving and innovative capability and strengthen the construction of contextual ambidexterity.

This paper makes up for the theoretical gap between advice-giving and innovative capability. Furthermore, it provides a theoretical reference for practitioners to improve their innovative capability.

The purpose of this paper is to clarify the concept of dynamic capabilities from the knowledge‐based perspective and investigate the mechanisms of dynamic capabilities on innovation performance in networked environments.

This paper designed a seven‐point Likert questionnaire measuring the dynamic capabilities, innovation performance and network embeddedness and a sample of 218 Chinese manufacturing firms were surveyed. Structural equation modeling method was used to statistically test the theoretical hypothesis.

Significant relationships were found between dynamic capabilities and innovation performance and knowledge combination capability played a mediating role in this relationship. For the links between network embeddedness and dynamic capabilities, knowledge acquisition capability was affected mainly by relational embeddedness and the diversity of network and joint problem solving contributed much to knowledge combination capability.

This paper deepened the understanding on dynamic capabilities and the mechanism between network embeddedness, knowledge‐based dynamic capabilities and innovation performance. In the future, the construct of knowledge‐based dynamic capabilities calls for more examination and verification.

Drawing on the literature of dynamic capabilities framework, knowledge‐based view and the network model, this study extends the literature of dynamic capabilities and its link with innovation performance in networked environments. Using survey data and structural equation modeling, this study offers rich evidence on the contribution of dynamic capabilities on innovation performance and the antecedents of dynamic capabilities.

The purpose of this research is to identify and clarify the important variables in knowledge management capabilities that affect product/service innovation in entrepreneurial companies in Jordan.

A five-point Likert scale questionnaire was designed for measuring knowledge-based (infrastructural and dynamic) capabilities and product/service innovation in entrepreneurial companies in Jordan that specialized in information and communication technology. A questionnaire was distributed to 297 individuals in 40 companies, and only 202 questionnaires were completely filled and returned by the entrepreneurs at King Hussein Business Park and Al Hassan Business Park. Structural equation modeling was applied to statistically test the research hypotheses.

The research findings showed that knowledge-based infrastructural capabilities are a prerequisite for knowledge-based dynamic capabilities. On the other hand, knowledge combination capabilities have a statistically significant mediating effect between knowledge based infrastructural capabilities and product/service innovation.

This research contributes to the literature by studying and investigating the key variables in knowledge management that affect product/service innovation and by providing a comprehensive understanding of the knowledge management capabilities and innovation in entrepreneurial companies. This research provides academicians with a framework for better understanding of the different factors of knowledge management capabilities and how they affect product/service innovation.

The main purpose of this study is to investigate the mediating role of innovation culture in the relationship between knowledge-based dynamic capabilities and innovation performance of small enterprises in Tanzania.

This study is cross-sectional and data collected through structured questionnaire were analyzed using PLS-SEM.

The findings revealed that dimensions of knowledge-based dynamic capabilities significantly influence innovation culture and innovation culture significantly influence the innovation performance. Finally, innovation culture is a significant mediator of the relationship.

The study contributes to the understanding that owners of small businesses must create conducive environments for the development of an innovation culture by improving knowledge acquisition, generation and combination for better innovation performance outcomes.

Studies done on innovation culture are limited especially in the context of developing countries such as Tanzania where adoption of innovative ideas is considered a slow process due to various factors such as poor management of knowledge resources. Therefore, this study contributes to the body of knowledge by establishing a link between knowledge-based dynamic capabilities and innovation performance through a mediation of innovation culture.

While previous research has demonstrated the positive effects of digital business strategies on operational efficiency, financial performance and value creation, little is known about how such strategies influence innovation performance. To address the gap, this paper aims to investigate the impact of a firm’s digital business strategy on its innovation performance.

Drawing on the dynamic capability view, this study examines the mechanism through which a digital business strategy affects innovation performance. Data were collected from 215 firms in China and analyzed using multiple regression and structural equation modeling.

The empirical analysis reveals that a firm’s digital business strategy has positive impacts on both product and process innovation performance. These impacts are partially mediated by knowledge-based dynamic capability. Additionally, a firm’s digital business strategy interacts positively with its entrepreneurial orientation in facilitating knowledge-based dynamic capability. Moreover, market turbulence enhances the strength of this interaction effect. Therefore, entrepreneurial-oriented firms operating in turbulent markets can benefit more from digital business strategies to enhance their knowledge-based dynamic capabilities and consequently improve their innovation performance.

This study contributes to the understanding of how a firm’s digital business strategy interacts with entrepreneurial orientation in turbulent markets to shape knowledge-based dynamic capability, which in turn enhances the firm’s innovation performance.

This study aims to examine direct effects of qualified team gatekeepers on absorptive capacity (AC), and the mediating roles of combinative capabilities – knowledge integration capability (KIC) and interteam coordination.

A social networking analysis was used to analyze a unique data set collected from all members of 32 Japanese research and development (R&D) teams to identify key individuals who perform daily gatekeeping functions. This study analyzed the data through partial least squares structural equation modeling with higher-order latent variables. Finally, cross-validation tests were used with holdout samples to test the model’s predictive validity.

Qualified gatekeepers directly contribute to teams’ realized AC but not to their potential AC. Furthermore, qualified gatekeepers can improve their teams’ capability to absorb and exploit external knowledge by facilitating their capability to consolidate knowledge, that is, its KIC and interteam coordination.

Unlike prior research that asks top managers to identify team gatekeepers, this study used social network analysis to identify these vital individuals. This study provides a new framework indicating how qualified gatekeepers impact the AC of R&D teams through the examination of both the direct and indirect paths of gatekeeping abilities, two combinative capabilities as mediators and team AC.

This study aims to investigate the relationship between knowledge-based dynamic capability and organizational structure on team innovative performance in Brazilian industrial companies.

This study is based on data from a survey of 262 respondents from 65 companies in the Brazilian industrial sector with project teams and followed the partial least squares approach to model the structural equation that was used for data analysis.

The results of the study show that mechanical structures with a high degree of formalization and centralization have a negative impact on knowledge-based dynamic capability and integration has a positive relationship with dynamic capability. Moreover, the research shows that project team innovative performance is directly affected by knowledge generation and combination capability; however, knowledge acquisition/absorption does not interfere with project team innovative activity.

This study contributes to the managers of firms in the industrial sector by analyzing how the characteristics of organizational structure impact dynamic capability and project team innovative performance. The results of this study indicate that more mechanical structures have more difficulty in developing knowledge-based dynamic capability in the context of project teams.

This study advances the concept of knowledge-based dynamic capability from the firm level to the project team level. This study accesses a research gap that characterizes organizational structure as an antecedent of dynamic capability, analyzing the impact of organizational structure on the dimensions of dynamic capability and of the latter on project team innovative performance.

Several manuscripts are adopting knowledge-based dynamic capabilities (KBDCs) as their main theoretical lens. However, these manuscripts lack consistent conceptualization and systematization of the construct. Consequently, the purpose of this study is to advance the understanding of KBDCs by clarifying the dominant concepts at the junction of knowledge management and dynamic capabilities domains, identifying which emerging themes are gaining traction with KBDCs scholars, demonstrating how the central thesis around KBDCs has evolved and explaining how can KBDCs scholars move towards finding a mutually agreed conceptualization of the field to advance empirical assessment.

The Clarivate Analytics Web of Science Core Collection database was used to extract 225 manuscripts that lie at the confluence of two promising management domains, namely, knowledge management and dynamic capabilities. A scientometric analysis including co-citation analysis, bibliographic coupling, keyword co-occurrence network analysis and text mining was conducted and integrated with a systematic review of results to facilitate an unstructured ontological discovery in the field of KBDCs.

The co-citation analysis produced three clusters of research at the junction of knowledge management and dynamic capabilities, whereas the bibliographic coupling divulged five themes of research that are gaining traction with KBDCs scholars. The systematic literature review helped to clarify each clusters’ content. While scientific mapping analysis explained how the central thesis around KBDCs has evolved, text mining and keyword analysis established how KBDCs emerge from the combination of knowledge management process capabilities and dynamic capabilities.

Minimal attention has been paid to systematizing the literature on KBDCs. Accordingly, KBDCs view has been investigated through complementary scientometric methods involving machine-based algorithms to allow for a more robust, structured, comprehensive and unbiased mapping of this emerging field of research.