A study of the relationship between the knowledge base and the innovation performance under the organizational slack regulating

2015 ◽  
Vol 53 (10) ◽  
pp. 2202-2225 ◽  
Author(s):  
Xin Jin ◽  
Jie Wang ◽  
Song Chen ◽  
Ting Wang
Keyword(s):  
Knowledge Base ◽  
Research Work ◽  
Innovation Performance ◽  
Hierarchical Regression ◽  
Organizational Slack ◽  
Content Type ◽  
Clear Explanation ◽  
Survey Sample ◽  
Different Dimensions ◽  
Knowledge Depth

Purpose – 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. Design/methodology/approach – 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. Findings – 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. Originality/value – 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.

Knowledge search and open innovation performance in an emerging market

2017 ◽  
Vol 55 (4) ◽  
pp. 634-647 ◽  
Author(s):  
Dan Zhang ◽  
Shengxiao Li ◽  
Dengpan Zheng
Keyword(s):  
Open Innovation ◽  
Positive Relationship ◽  
Emerging Market ◽  
Research Work ◽  
Innovation Performance ◽  
Hierarchical Regression ◽  
Content Type ◽  
Good Relationship ◽  
Knowledge Search ◽  
The Government

Purpose The purpose of this paper is to examine how knowledge search (KS) affects open innovation performance (OIP) in consideration of appropriability hazard in an emerging market context. Design/methodology/approach The authors identify two types of appropriability hazard related to KS activities in the improvement of OIP: partner-related and market-related hazards, and construct a model of KS to the OIP with the government-enterprise relationship and market focus (MF) as moderating factors of the analysis framework, using the hierarchical regression analysis based on a survey sample of 258 Chinese companies. Findings The authors find that KS has a stronger positive relationship with OIP in international market-focused enterprises compared with domestic market-focused enterprises. In addition, using a configuration approach, the authors find that KS is more positively related to OIP when enterprises have an international MF and a good relationship with the government, but less in other MF government and enterprises relationship configurations. Originality/value This paper contributes to previous research work by identifying two types of appropriability hazard related to KS activities in emerging market countries: partner-related and market-related hazards. The authors argue that a positive relationship between KS and OIP is more likely to occur if these appropriability hazards can be mitigated by export MF and a good relationship with the government which has not been demonstrated in previous research.

Organizational forgetting, absorptive capacity, and innovation performance

2018 ◽  
Vol 56 (1) ◽  
pp. 87-104 ◽  
Author(s):  
Dujuan Huang ◽  
Song Chen ◽  
Gupeng Zhang ◽  
Jiangfeng Ye
Keyword(s):  
Absorptive Capacity ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Environmental Turbulence ◽  
Hierarchical Regression ◽  
Critical Determinant ◽  
Firm Innovation ◽  
Content Type ◽  
Clear Explanation ◽  
Organizational Forgetting

Purpose The purpose of this paper is to examine how the organizational forgetting affect innovation performance under the consideration of the environmental turbulence as a moderating factor of the analysis framework. Design/methodology/approach This study constructs and verifies a moderated mediating model of organizational forgetting to innovation performance, using the exploratory factor analysis and the hierarchical regression analysis based on a survey sample of 320 Chinese companies. Findings The organizational forgetting is a critical determinant for improving innovation performance of an enterprise. A more detailed analysis reveals that first organizational forgetting cannot promote organization’s innovation performance without absorptive capacity. Second, the mediating effect of absorptive capacity is more positive when environmental turbulence is higher. Practical implications This study provides empirical evidence about the importance of organizational forgetting in the firm innovation. Originality/value This paper adds to the existing literature by providing a clear explanation of the impacts of organizational forgetting on innovation performance through a comprehensive empirical study. Contrasting with previous research, this research clarifies the boundary conditions under which organizational forgetting enhances innovation performance. In particular, the authors find that organizational forgetting is not equally positive but instead increases with the level of environmental turbulence.

How leadership matters in organizational innovation: a perspective of openness

2018 ◽  
Vol 56 (1) ◽  
pp. 6-25 ◽  
Author(s):  
Xiao Jia ◽  
Jin Chen ◽  
Liang Mei ◽  
Qian Wu
Keyword(s):  
Transformational Leadership ◽  
Leadership Styles ◽  
Transactional Leadership ◽  
Organizational Innovation ◽  
Innovation Performance ◽  
Hierarchical Regression ◽  
New Paradigm ◽  
Data Set ◽  
Content Type ◽  
Top Managers

Purpose The purpose of this paper is to answer the following two questions: What are the influences of the top managers’ different leadership styles on organizational innovation? What is the mechanism by which the different leaderships exert different effects on organizational innovation? Design/methodology/approach To test the hypothesized model, a data set based on 133 MBA part-time students from Tsinghua University and Zhejiang University in China was built, after interviewing several top managers as a pilot study. With the help of SPSS macro, hierarchical regression and bootstrapping analysis, the paper analyzes the effects of two leadership styles on innovation performance, through the mediation mechanism of openness involving open breadth and open depth. Findings The results indicate that transformational leadership enhances, while transactional leadership reduces, the organizational innovation performance. The openness breadth and openness depth not only mediate the beneficial effect of transformational leadership on innovation, but also mediate the deleterious effect of transactional leadership on innovation. Originality/value This study empirically explores the different functions of transformational leadership and transactional leadership for leading organizational innovation performance. Furthermore, a new form of organization is an open design or strategy that allows more external knowledge and resources to be absorbed, which is claimed as a new paradigm for organization innovation. This study integrates the concepts of breadth of openness and depth of openness on the basis of open innovation literature, as an intermediate mechanism to explain the different effects of the two forms of top managers’ leadership.

The effects of information technology capability and knowledge base on digital innovation: the moderating role of institutional environments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shaobo Wei ◽  
Dabao Xu ◽  
Hua Liu
Keyword(s):  
Information Technology ◽  
Knowledge Base ◽  
Government Support ◽  
Institutional Environments ◽  
Moderating Effects ◽  
Digital Innovation ◽  
Content Type ◽  
It Capability ◽  
Knowledge Depth ◽  
The Impact

PurposeBased on the knowledge-based view, this study investigates how firms' information technology (IT) capability broadens and deepens their knowledge base, which consequently improves digital innovation. By further drawing on the institutional theory perspective, this study examines how the relationships between IT capability and knowledge base are moderated by the institutional environments in which the firm operates.Design/methodology/approachThis paper uses 170 samples of Chinese firms and an empirical test conducted by the authors following a hierarchical moderated regression analysis.FindingsThe results find that IT capability positively affects knowledge breadth and knowledge depth, which consequently improves digital innovation. Furthermore, the study reveals the negative moderating effects of enforcement inefficiency on IT capability–knowledge breadth relationship, and the negative moderating effects of government support on IT capability–knowledge depth relationship.Originality/valueThis research is one of the earliest attempts to explore the impact of the institutional environment of emerging economies on IT capability. It also clarifies the impact of knowledge breadth and knowledge depth on digital innovation.

SMEs innovating in collaborative networks: how does absorptive capacity matter for innovation performance in times of good partnership quality?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lamiae Benhayoun ◽  
Néstor Fabián Ayala ◽  
Marie-Anne Le Dain
Keyword(s):  
Absorptive Capacity ◽  
Innovation Performance ◽  
Collaborative Networks ◽  
Hierarchical Regression ◽  
Second Phase ◽  
Content Type ◽  
Partnership Quality ◽  
Collaborative Innovation ◽  
The Creation ◽  
The Impact

PurposeWe investigate the impact of Absorptive Capacity (ACAP) for SMEs embedded in Collaborative Networks (CNs) on innovation performance, considering the network stages and the influence of partnership quality.Design/methodology/approachWe use a mixed methodology consisting of a qualitative than a quantitative phase. The first stage relies on an in-depth literature review and 22 interviews with 17 manufacturing SMEs having operated in collaborative innovation projects to characterize the potential and realized ACAP of such SMEs in the creation and operation stages of a CN. The second phase aims at testing four hypotheses through a hierarchical regression based on 74 responses to a survey involving SMEs with prior CN experience.FindingsOur results explain how an SME’s ACAP in the creation stage affects its ACAP in the operation stage. We also demonstrate that this latter capability contributes positively to innovation performance in the CN. Furthermore, partnership quality was found to have counterproductive effects regarding potential ACAP.Practical implicationsWe provide manufacturing SMEs with guidance to deploy ACAP throughout their collaborative experience and overcome the potential pitfalls of good partnership quality.Originality/valueWe operationalize ACAP of manufacturing SMEs to contribute to mutual innovation goals in CNs and uncover its properties. We explain how this dynamic capability accumulates over the CN stages to result in higher innovation performance and show how it helps in striking a balance between the “dark” and “virtuous” sides of partnership quality.

Strategic human resource practices for innovation performance

2018 ◽  
Vol 25 (9) ◽  
pp. 3459-3478 ◽  
Author(s):  
Noopur Singh
Keyword(s):  
Human Resource ◽  
Research Work ◽  
Tourism Industry ◽  
Innovation Performance ◽  
Survey Method ◽  
Human Resource Practices ◽  
Customer Contact ◽  
Content Type ◽  
Hospitality And Tourism Industry

PurposeThe purpose of this paper is to understand the conception of strategic human resource practices (SHRPs) for establishing innovation performance (IP) in the tourist hotel industry. In this research, the author has also studied the influence of knowledge management capacity (KMC) as a mediator between the two and the role of environmental uncertainty (EU) in moderating the relation between SHRP and KMC.Design/methodology/approachData were collected through survey method from the employees and managers of the tourist hotels in Jharkhand, India. Furthermore, 368 customer contact employees and 46 managers’ responses were analyzed using confirmatory factor analysis and SPSS macro named PROCESS.FindingsThe interpretation of the empirical results signifies SHRP influence on IP and KMC as a mediator between SHRP and IP. Additionally, the role of EU in positively mitigating the interaction between SHRP and KMC was seen.Originality/valueThe present research work adds to the subsisting literature by empirically fortifying the proposed hypotheses. Additionally, current studies focused on hospitality and tourism industry operating in a developed economy, the present study is an attempt to explore a comprehensive and theoretically grounded relationship between SHRP, KMC and IP with the help of resource-based view in an emerging economy.

Effects of open innovation strategies on innovation performance of SMEs: evidence from China

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chang Lu ◽  
Bo Yu ◽  
Jing Zhang ◽  
Dan Xu
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Design Methodology ◽  
Institutional Support ◽  
Innovation Performance ◽  
Hierarchical Regression ◽  
Content Type ◽  
Proposed Model ◽  
Different Types ◽  
The Relationship

Purpose The purpose of this study is to investigate the relationships between two types of open innovation (OI) strategies (OI breadth and depth) and innovation performance of small- and medium-sized enterprises (SMEs) in China. The study examines how firms’ absorptive capacity and government institutional support affect these relationships. Design/methodology/approach Survey data from 236 manufacturing SMEs in China were used to test the proposed model using hierarchical regression analysis. Findings The results show that both OI breadth and depth are positively related to innovation performance of SMEs. Moreover, this study finds that realized absorptive capacity serves as a mediator in the relationships between OI breadth and depth and innovation performance. The potential absorptive capacity and government institutional support moderate the relationship between OI breadth and innovation performance. Originality/value The effectiveness of OI strategies is significantly different among SMEs. One possible explanation is that SMEs adopt different types of OI strategies. Another is that a firm’s absorptive capacity and government institutional support may influence the effectiveness of OI. This study integrates these two possible reasons by investigating the effect of the interplay between different OI strategies, absorptive capacity and government institutional support on SMEs’ innovation performance. This study enriches the research on the relationships between OI strategies and innovation performance of SMEs in the Chinese context.

Dynamic positioning matters: uncovering its fundamental role in organization’s innovation performance

2019 ◽  
Vol 35 (5) ◽  
pp. 785-793 ◽  
Author(s):  
Jingbei Wang ◽  
Naiding Yang ◽  
Min Guo
Keyword(s):  
Knowledge Base ◽  
Negative Binomial ◽  
Innovation Performance ◽  
Collaboration Network ◽  
Dynamic Positioning ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship ◽  
Exploratory Innovation

Purpose This paper aims to propose the following questions: How does dynamic positioning influence organization’s innovation performance? Does knowledge base mediate the relationship between them? Design/methodology/approach The empirical setting of this study is the smartphone collaboration network from 2004 to 2017; the authors selected one-site schemes and data of patents from the Derwent Innovation Database. Furthermore, the authors adopted the negative binomial model with random effects to test the hypotheses. Findings The regression results show that organization’s dynamic positioning has an inverted-U-shaped relationship with its exploratory innovation. Similarly, organization’s dynamic positioning has an inverted-U-shaped relationship with its exploitative innovation. Besides, knowledge base mediates the relationship between dynamic positioning and organization’s innovation performance. Originality/value This study empirically confirms the relationship between dynamic positioning and organization’s innovation performance by separately examining exploratory and exploitative innovation. Furthermore, this study provides a contribution to the literature linking dynamic positioning and organization’s innovation performance by investigating the mediating role of knowledge base.

Contributory role of dynamic capabilities in the relationship between organizational learning and innovation performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mandana Farzaneh ◽  
Peivand Ghasemzadeh ◽  
Jamal A. Nazari ◽  
Gholamhossein Mehralian
Keyword(s):  
Organizational Learning ◽  
Pharmaceutical Industry ◽  
Organizational Performance ◽  
Dynamic Capabilities ◽  
Organizational Innovation ◽  
Innovation Performance ◽  
Hierarchical Regression ◽  
Firm Level ◽  
Content Type ◽  
The Relationship

PurposeThe direct impact of organizational learning (OL) on organizational performance has been studied over the past two decades. However, how OL contributes to organizational innovation still remains under-researched. Based on the knowledge-based view of the firm and dynamic capability theory, we developed a theoretical framework in order to empirically examine how OL offers organizations the essential tools for creating dynamic capabilities (DCs), which pave the way for innovation performance (IP).Design/methodology/approachThe authors apply a time-lagged, multisource and survey-based research designed to test the proposed model in the pharmaceutical industry where knowledge is a source of innovation. The data collected from companies operating in such an industry were analyzed by utilizing hierarchical regression analysis to explore how OL could lead to IP through DC.FindingsThe results indicated that OL is positively, significantly associated with DCs, as well as its dimensions of learning, integrating and reconfiguring capabilities. The findings showed that these capabilities are significant predictors of innovation performance. In addition, the findings revealed that innovation culture significantly moderates the relationship between DCs and innovation performance.Originality/valueBy dedicating more time and resources, managers can reinforce dynamic capabilities as a strategic tool to generate new knowledge and distribute it across the organization, which can go a long way toward boosting innovation performance in the pharmaceutical industry. This study offers researchers and practitioners invaluable insights into how effective OL can enhance firm-level innovation performance through dynamic capabilities.

How knowledge affects incremental innovation in SMEs: Knowledge base and knowledge heterogeneity

2021 ◽  
Vol 46 (2) ◽  
pp. 91-102
Author(s):  
Lei Du
Keyword(s):  
Knowledge Base ◽  
Small And Medium Enterprises ◽  
High Technology ◽  
Innovation Performance ◽  
Incremental Innovation ◽  
Depth Of Knowledge ◽  
Knowledge Depth ◽  
Medium Enterprises ◽  
The Relationship ◽  
High Depth

While scholars have widely examined the effect of knowledge base (i.e. knowledge breadth (KB) and knowledge depth (KD)) on innovation performance, the relationship between KB/KD and incremental innovations remains not clear. This article examines how existing knowledge base interacts with external and internal knowledge heterogeneity (KH) to affect incremental innovation in small and medium enterprises (SMEs). A collection of 230 samples from high-technology SMEs in China demonstrate that the effects of KB and KD are contingent on external and internal KH in opposite ways. The study proposes that a firm with a broad knowledge base is better able to develop incremental innovations matched with internal KH rather than external KH; firms with high depth of knowledge benefit more from external KH than internal KH for fostering its incremental innovations.

Sign in / Sign up

Export Citation Format

Share Document