scholarly journals Open Innovation in Venture Firms : the Impact of External Search Strategy on Innovation Performance of Korean Manufacturing Firms

2014 ◽  
Vol 9 (1) ◽  
pp. 1-13 ◽  
Author(s):  
Dominic Heesang Chai ◽  
허은지 ◽  
최윤영
Keyword(s):  
Open Innovation ◽  
Search Strategy ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Venture Firms ◽  
The Impact

scholarly journals SEARCHING WIDELY OR DEEPLY? THE IMPACT OF OPEN INNOVATION ON INNOVATION AND INNOVATION PERFORMANCE AMONG INDONESIAN MANUFACTURING FIRMS

2018 ◽  
Vol 33 (2) ◽  
pp. 123
Author(s):  
Arif Hartono ◽  
Ratih Kusumawardhani
Keyword(s):  
Technological Innovation ◽  
Open Innovation ◽  
Innovation Process ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
External Knowledge ◽  
Process Innovations ◽  
Innovation Surveys ◽  
External Sources ◽  
The Impact

Since the term Open Innovation (OI) was coined by Henry Chesbrough in 2003, OI studies have been frequently conducted. Surprisingly, OI insights, in the context of Indonesian firms, are scarce. Furthermore, there are no existing OI studies that use data derived from innovation surveys. Hence, this study attempts to close the gap in the literature, by providing insights into Indonesian firms’ openness toward external knowledge, and its impact on innovation performance. The main aim of this study is to investigate the impact of OI practices on Indonesian manufacturing firms’ propensity to innovate (i.e. their product, process, organization, and marketing) and innovation performance. Product and process innovations are grouped under the term technological innovation, while organization and marketing innovations are classified as non-technological innovation. Data used in this study were derived from the Indonesia Innovation Survey (IIS) 2011 that covered the period from 2009-2010. Following Laursen and Salter’s (2006) study, OI indicators consist of external search breadth (i.e. the number of external sources or search channels that firms rely upon in their innovative activities) and depth (the extent to which firms draw deeply from the different external sources or search channels) in innovation process. Undertaking logistic and tobit regressions, this study shows that in general, both breadth and depth significantly and positively affect technological and non-technological innovation, as well as innovation performance. However, the over-search on external knowledge, measured by breadth squared and depth squared, negatively and significantly influence innovation and innovation performance. This indicates that too much external knowledge, sourced during the innovation process will diminish the return of innovation. This study also finds an indication of a complementary relationship existing between internal R&D and external knowledge; meaning that the implementation of one knowledge-sourcing strategy (either sourcing from internal R&D or external knowledge) increases the marginal returns from another. Lastly, important implications related to theoretical and innovation strategies are proposed. 

How Industry 4.0 technologies and open innovation can improve green innovation performance?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Faraz Mubarak ◽  
Suman Tiwari ◽  
Monika Petraite ◽  
Mobashar Mubarik ◽  
Raja Zuraidah Raja Mohd Rasi
Keyword(s):  
Open Innovation ◽  
Industry 4.0 ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Equation Modeling ◽  
Green Innovation ◽  
Content Type ◽  
The Impact ◽  
Innovation Behavior

PurposeThis study investigates the impact of Industry 4.0 technologies on green innovation performance. In this relationship, the mediating role of green innovation behavior is also studied. Moreover, open innovation is tested as a mediator between Industry 4.0 technologies and green innovation behavior.Design/methodology/approachA quantitative research method is adopted in which a structured questionnaire was used to collect data from 217 manufacturing firms of Malaysia. After collecting data, the partial least squares-structural equation modeling (PLS-SEM) technique is applied to analyze data and test the hypothesis of study.FindingsIt is found that Industry 4.0 positively impacts open innovation which leads to green innovation behavior. Also, the former lays positive impact on green innovation behavior which leads to improve green innovation performance.Research limitations/implicationsThe authors conclude that Industry 4.0 technologies can play an important role to improve green innovation performance of Malaysian manufacturing firms by managing open innovation for green innovation behavior which further improves the green innovation performance. In this context, it is recommended that strategists and policymakers should undertake the role of open innovation and Industry 4.0 technologies to promote environment-friendly innovations and to promote the green behavior in companies. The authors suggest hereby that firms should be given incentives to adopt and utilize Industry 4.0 technologies and collaborative innovation interactions – as they foster a climate for sustainable green innovations (which is also a key component to achieve competitive advantage) and a growing concern nowadays.Practical implicationsFirst of all the research contributes to achieving the broader of United Nations to promote sustainable innovation through green innovations. Moreover, the companies can also incorporate the findings and insights of this study while devising their policies to foster green innovations.Originality/valueThis research has done the novel contribution by bridging the gap between open innovation approach and sustainability fields while promoting green innovations in small and medium enterprises (SMEs). These two research fields are rarely studied in previous studies by focusing open innovation particularly. Hence, the authors suggest researchers to undertake these fields to further enhance the level of scholarship between innovation management and sustainability. Also, the authors recommend considering technological orientation and technological absorptive capacity of firms to improve green innovations. The current study has investigated the SMEs perspective in general irrespective to their sectoral differences, thus, for future researchers the authors suggest investigating the sector-wise comparison, i.e. electrical and electronics sector, chemical sector, etc.; or service and manufacturing sector differences.

AN EMPIRICAL STUDY ON THE IMPACT OF SUSTAINABLE MANUFACTURING PRACTICES AND INNOVATION PERFORMANCE ON ENVIRONMENTAL SUSTAINABILITY

2015 ◽  
Vol 77 (4) ◽  
Author(s):  
N. Hami ◽  
M.R. Muhammad ◽  
Z. Ebrahim
Keyword(s):  
Environmental Sustainability ◽  
Structural Equation ◽  
Sustainable Manufacturing ◽  
Business Environment ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Impact ◽  
The Relationship

This study analyzes the causal relationship between sustainable manufacturing practice (SMP) and environmental sustainability as well as determines the mediating effect of innovation performance (IP) on the relationship between SMP and environmental sustainability. Adaptation from the changing business environment, manufacturing firms are facing great challenge on producing more products with less resource consumption, pollution emitted and waste generated. Using structural equation modeling, the survey data collected from 150 Malaysian manufacturing firms has been analyzed in this study. The empirical results show that both types of SMP have a positive and significant impact on environmental sustainability with external SMP is greater than internal SMP. However, there is no significant evidence to prove IP as a mediator for SMP-environmental sustainability linkage. The findings of this paper have important implication in both theoretical and practical perspectives. While provide better understanding of the phenomena by simultaneously analyzing a series of dependence relationships among SMP, IP and environmental sustainability, these results could help managers to understand the types of practices that would improve their environmental performance.  

INTERORGANISATIONAL COLLABORATION FOR INNOVATION IMPROVEMENT IN MANUFACTURING FIRMS’S: THE MEDIATING ROLE OF SOCIAL PERFORMANCE

2019 ◽  
Vol 24 (05) ◽  
pp. 2050049 ◽  
Author(s):  
USAMA AWAN ◽  
ROBERT SROUFE
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Social Performance ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Necessary Condition ◽  
Performance Practices ◽  
Mediating Role ◽  
The Impact

The impact of collaboration on innovation performance has been investigated in many studies. This study provides a unique view on innovation performance by exploring the mediating role of social performance between collaboration and innovation performance. For this, a structural model was tested through an empirical investigation with partial least squares structural equation modelling (PLS-SEM) using a sample made up of 239 export manufacturing firms. The results of the empirical study show that social performance appears to be a necessary condition for innovation performance. Our findings confirm the great potential of addressing social concern increasingly drive innovation performance. The next decade is likely to be a period of rapidly expanding social performance practices in the manufacturing firms. The managers could foster sustainable innovation by collaborating customers and enhance their firm social performance.

scholarly journals Innovation in the Hungarian food economy  

2017 ◽  
Vol 63 (No. 1) ◽  
pp. 43-51 ◽  
Author(s):  
Toth Jozsef ◽  
Ferto Imre
Keyword(s):  
Absorptive Capacity ◽  
Open Innovation ◽  
Innovation Process ◽  
Innovation Performance ◽  
Medium Size ◽  
Food Sector ◽  
Agricultural Producers ◽  
Food Economy ◽  
The Impact ◽  
The Empirical Analysis

The paper investigates the innovation process in the Hungarian agri-food sector using the concept of open innovation. The empirical analysis is based on the data from a 2011 survey of more than 200 small and medium size agricultural producers, food processors and retailers. There is determined the impact of open innovation and a company’s absorptive capacity on the innovation performance employing two stage approaches. First, a cluster analysis is applied to categorise companies based on their open innovation absorptive capacity, firm and managerial characteristics. Second, using semi-non parametric probit models, there is found that open innovation positively influences the innovation performance for the product and market innovation. Estimations indicate that the absorptive capacity has positive impacts on the technological- and organisational innovation and on innovation propensity. The results suggest that there exists a considerable heterogeneity both within and between the supply chain segments regarding to the innovation performance.  

scholarly journals Fostering Czech firms? innovation performance through efficient cooperation

2021 ◽  
Vol 12 (3) ◽  
pp. 671-700
Author(s):  
Viktor Prokop ◽  
Michaela Kotkova Striteska ◽  
Jan Stejskal
Keyword(s):  
Czech Republic ◽  
Public Funding ◽  
Value Added ◽  
Manufacturing Firms ◽  
Innovation Systems ◽  
Innovation Performance ◽  
Policy Implications ◽  
The Czech Republic ◽  
Innovation Activities ◽  
The Impact

Research background: The business climate development and the stage of innovation systems? transformation are very similar in many Central and Eastern European countries, making it necessary to study these specific economies. These economies are at a different level of transformation, and their governments are trying to support the development of a knowledge-based economy, the creation of innovation systems, and collaboration among different types of entities. These governments need feedback in the form of research into the impacts of public funding on innovation activities through the influence of basic research and cooperation-based resources in individual countries. Purpose of the article: This paper focuses on the examination of (i) the influence of national and European subsidies on innovation performance in manufacturing firms in the Czech Republic and (ii) impacts of knowledge- and cooperation-based resources on innovation activities in Czech manufacturing. Methods: The latest available data from the Community Innovation Survey was used for analyses realized by different regression models. The proposed research models were gradually created to verify the influence of pro-innovation factors (expenditures on in-house and external R&D and on the acquisition of external tangible and intangible sources, cooperation with different partners and innovation) and public (national and/or European) funding of firms? innovation performance within the Czech manufacturing industry. Findings and value added: The results have showed that there is a need to focus on direct and indirect effects of selected innovation determinants; we have also identified the crucial role of cooperation (specifically with government, public, or private research institutes) as a mediating variable within innovation processes. The results have also evidenced that public funding affects the efficiency of knowledge- and cooperation-based resources and amplifies the impact on firms? innovation performance differently. Whereas subsidies from national budgets do not significantly influence the innovation performance of Czech manufacturing firms, European subsidies, on the other hand, significantly increase firms? innovation performance. A long-term contribution of this paper is the significant completion of the theory of policy implications that may be applicable in a broad international context beyond the borders of the Czech Republic. This study significantly contributes to the ongoing discussion about (i) the significance of public financial subsidies from both national and European funds and (ii) the effects of cooperation and R&D on firms? innovation performance within ?catching-up? in Central and Eastern Europe. 

Innovation Barriers and Their Impact on Innovation: Evidence from Indonesian Manufacturing Firms

2018 ◽  
Vol 20 (5) ◽  
pp. 1196-1213 ◽  
Author(s):  
Arif Hartono ◽  
Ratih Kusumawardhani
Keyword(s):  
Resistance To Change ◽  
Positive Influence ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Tobit Regression ◽  
Negative Effects ◽  
Marketing Innovation ◽  
Lack Of Information ◽  
Innovation Barriers ◽  
The Impact

Using innovation data derived from the Indonesia Innovation Survey (IIS) 2011, this study investigates the nature and importance of innovation barriers faced by Indonesian manufacturing firms and examines the impact of innovation barriers on product, process, organization and marketing innovation and on innovation performance. Undertaking factor analysis, the study finds that the innovation barriers can be categorized as market and institution barriers, employee and organization attitude barriers, finance and risk barriers, and knowledge and cooperation barriers. Applying logit and tobit regression models, this study shows that barriers related to employee and organization attitude have positive influence on innovation and innovation performance. In contrast, the last two barriers have negative effects on innovation and innovation performance. Financial and risk constraints are perceived by the firms to be the most important barriers. Innovative and non-innovative firms perceive innovation barriers related to lack of information on technology, staff resistance to change, managers resistance to change and organization rigidity, differently.

Unpacking the relationship between external IT capability and open innovation performance: evidence from China

2020 ◽  
Vol 26 (7) ◽  
pp. 1789-1805 ◽  
Author(s):  
Su-Ming Wu ◽  
Xiu-Hao Ding
Keyword(s):  
Information Technology ◽  
Open Innovation ◽  
Knowledge Integration ◽  
Search Strategy ◽  
Innovation Performance ◽  
External Information ◽  
Content Type ◽  
External Knowledge ◽  
It Capability ◽  
The Relationship

PurposeInformation technology plays a critical role in the open innovation process. The purpose of this study is to explore the inner mechanism of external information technology (IT) capability that affects open innovation performance.Design/methodology/approachIn this paper, responses to 232 questionnaires from different firms were collected in China. Then, the proposed hypotheses were tested using regression analysis by statistical product and service solutions (SPSS).FindingsThe results indicate that external knowledge integration plays a mediating role in the relationship between external IT capability and open innovation performance, openness breadth positively moderates the influence of external IT capability on external knowledge integration and openness depth negatively moderates the relationship between external IT capability and external knowledge integration.Practical implicationsThe results, which are based on Chinese responses, provide useful suggestions for firms in China. To use external IT capability to improve open innovation performance, firms should not only stress the role of external knowledge integration but also consider their search strategy.Originality/valueBoth researchers and practitioners are interested in the relationship between information technology and open innovation. However, the way in which the inner mechanism of external IT capability affects open innovation performance has not been thoroughly researched. Based on knowledge integration theory, the authors construct a model that includes external IT capability, external knowledge integration, search strategy and open innovation performance. The results of this paper confirm the mediating and moderating roles of external knowledge integration and search strategy, respectively.

scholarly journals CULTURAL CONTINGENCIES OF OPEN INNOVATION STRATEGIES

2016 ◽  
Vol 20 (07) ◽  
pp. 1650067 ◽  
Author(s):  
ACHIM HECKER
Keyword(s):  
Open Innovation ◽  
Institutional Environment ◽  
Innovation Performance ◽  
Management Journal ◽  
Cultural Contingencies ◽  
Specific Factors ◽  
Innovation Strategies ◽  
Curvilinear Relationships ◽  
The Impact

This study draws on a sample of 49,919 firms from 13 countries to investigate the impact of national culture on the performance of inbound open innovation strategies. The study first validates the curvilinear relationships of external search breadth and depth with innovation performance, as first established by Laursen and Salter (2006) [Laursen, K and A Salter (2006). Open for innovation: The role of openness in explaining innovation performance among U.K. manufacturing firms. Strategic Management Journal, 27(2), 131–150] controlling for a number of country-specific factors including culture and the institutional environment. The study then draws on Hofstede’s cultural framework to theoretically and empirically investigate the influence of a country’s culture on the effectiveness of firms’ search strategies. The results show that cultural factors not only directly impact innovation performance, but also interact with search breadth and depth, thereby moderating the success of inbound open innovation strategies.

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