• Journal of Korea Trade
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• 제25권7호
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• pp.19-40
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• 2021

Purpose - This paper's purpose is to investigate how foreign ownership and innovation affect firm value. Design/methodology - Firm innovation is defined as operational efficiency, which is calculated by adopting data envelopment analysis (DEA). Additionally, R&D intensity is included as a measure of innovation in the analysis. We used firm-level data from manufacturing companies in Korea. The sample comprised 3,753 firm-year observations for every year in the period 2003-2017. Findings - We found that foreign ownership and innovation are positively related to firm value (Tobin's Q). Foreign ownership moderates innovation's contribution to firm value, implying that foreign ownership may enhance the value relevance of firm innovation. In addition, we found that firm innovation partially mediates the relationship between foreign ownership and firm value. Originality/value - This highlights the important role of foreign investors' monitoring; wherein foreign investors enhance firm value by facilitating firm innovation. Our results suggest that foreign ownership can be crucial for innovation and may serve to address weak ownership structures.

• 기술혁신학회지
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• 제2권2호
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• pp.169-186
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• 1999

This study empirically investigates innovative behaviors of the firm. In so doing, a Probit was employed and estimated. We used the raw data of the "corporate innovation survey"(CIS), which, in consent with OECD efforts, is regularly undertaken by the Science and Technology Policy Institute(SIEPI). The data set includes more than 3400 firms in the manufacturing sector. Three types of innovation, i.e., new product, product improvement and process innovation, are studied, assuming that determinants of innovation are firm′s age. number of employees as the size of firm, ratio of foreign ownership and innovation costs. To investigate the relationship between firm′s innovation behavior and the size, we estimate the Probit including the quadratic term of the firm size. Empirical findings showed that the sign of the quadratic term of the firm size turned out to be negative. It means that the probability of firm's making innovation shows the inversed-U relationship with the firm size. Such an empirical result may have a significant implication for the industrial policy.

• Asian Journal of Innovation and Policy
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• 제12권2호
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• pp.155-176
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• 2023

This paper employs datasets from the Enterprise Survey conducted by the World Bank to examine the relationship between four types of innovation defined by the Oslo Manual (OECD, 2005): product innovation, process innovation, marketing innovation, organization innovation, and the firm performance in the selected developing ASEAN economies. The main objective of this paper is to understand the characteristics of innovation activities at the firm level and how various innovation types affect firm performance. The empirical results from ASEAN manufacturing firms reveal that product innovation positively affects firms' performance, while non-technological innovations are negatively related to the performance of firms. The further employed quantile regression provides more insights into the roles of innovation types on different levels of firm performance: while product and process innovations actively contribute to the small and medium-size firms (below 25^th quantile and median), organizational and marketing innovations negatively affect them. Interestingly, the role of process innovation decreases when firm performance grows.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.651-661
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• 2020

This research aims to examine the relationships among entrepreneurial orientation, organizational learning capability, firm innovation, and firm performance. To achieve a data collection, a mail survey procedure via questionnaire was implemented by using executives or managers of gems & jewelry industries, textile and clothing industries, leather and accessories, fashion apparel industries in Thailand as the key informants. Of the surveys completed and returned, 388 were usable. Hence, a model with a structural equation was used to evaluate the data survey of 388 respondents. The results reveal that, in terms of the mediating effect, organizational learning capacity and firm innovation can complement each other in order to improve entrepreneurial orientation. Findings show that entrepreneurial orientation improves firm innovation, which in turn improves firm efficiency. Firm innovation acts as a variable mediating between enterprise orientation and firm performance. Our findings contribute to the current emergence of organizational learning capacity that mediated the relationship between entrepreneurial orientation and firm performance. Entrepreneurial orientation is normally a firm performance that enterprises develop which can have use the information available and make an impact. It can be considered through the mediation of organizational learning capability, and firm innovation variable and as stated in previous literature, it can influence firm performance.

• 지식경영연구
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• 제17권1호
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• pp.49-72
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• 2016

Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.

• 대한안전경영과학회지
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• 제13권4호
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• pp.171-177
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• 2011

This paper reviewed the relationship between internal marketing and incremental innovation, and the moderating effect of firm size. The results of hierarchical multiple regression analysis, based on the responses from 322 employees in small business, showed that almost internal marketing factors effects positively on incremental innovation. All internal marketing factors(CEO support, compensation system, education & training, internal communication, authority delegation) appeared to be related positively with process innovation and service innovation. And all other factors(compensation system, education & training, internal communication, authority delegation) except CEO support showed to have positive relationship with operation innovation. In the moderating effects, internal communication effects more positively on incremental innovation in large firm-size than in small firm-size. But delegation effects more positively on incremental innovation in small firm-size than in large firm-size.

• 기술혁신학회지
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• 제16권4호
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• pp.1006-1031
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• 2013

본 연구는 제품혁신이 기업의 재무적 성과에 미치는 영향을 측정하고, 공정혁신, 조직혁신, 마케팅혁신이 갖는 조절효과를 실증 분석하였다. 이를 위하여 '2010년 기술혁신조사 : 제조업부분' 자료와 '한국신용평가정보'의 재무자료를 결합하여 위계적 다중회귀분석을 실시하였다. 분석 결과 공정혁신, 조직혁신과 마케팅혁신 모두가 제품혁신 활동과 기업의 성과관계를 조절하는 것으로 나타났다. 또한, 기업규모 및 연구개발집약도에 따른 산업 기술 수준별 그룹을 나누어 추가분석을 시도하였다. 그 결과 중기업, 대기업의 경우, 제품혁신과 공정혁신이 재무적 성과인 매출액에 결정적인 역할을 수행하는 반면, 소기업의 경우, 제품혁신과 조직혁신이 재무적 성과인 매출액에 결정적인 역할을 수행하는 것으로 나타났다. 연구개발집약도에 따른 산업별 분석에서는 첨단기술 산업군에서는 마케팅혁신이 제품혁신과 더불어 성과를 향상시키는 혁신 유형으로 나타났다. 본 연구를 통해 기술혁신과 기업 성과와의 관계에서 기술혁신을 제품혁신, 공정혁신, 조직혁신과 마케팅혁신을 포함함으로써 기술혁신을 유형별로 세분화하였고 기업이 추구해야할 혁신 활동을 포괄적으로 살펴봄에 따라 기술혁신 간 영향관계를 새롭게 규명하였고 산업 기술 수준별, 기업 규모별 혁신과 성과 간의 관계를 살펴보았다.

• Asia pacific journal of information systems
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• 제29권4호
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• pp.690-716
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• 2019

Open innovation has attracted significant attention from both academics and practitioners. However, theoretical and empirical researchers disagree on how open innovation improves firm performance. The inconsistent results reported in the literature may be attributed to the fact that they failed to provide an integrative view of how to make use of internal and external knowledge to enhance innovation performance. Furthermore, although the adoption value of innovation approaches varies depending on firm size and IT capabilities, their impacts have not been adequately taken into consideration. Drawing on complementarity theory, this study revisits the research problem and develops eight hypotheses. Surveys collected from 339 Korean firms were analyzed to test the hypotheses using the supermodularity functions. The results indicated that an internal knowledge-oriented innovation approach has a positive impact on innovation performance regardless of firm size. However, an external knowledge-oriented innovation approach has a positive effect on innovation performance in large firms while having no significant effect on innovation performance of SMEs. Results also confirmed a complementary relationship between internal and external knowledge-oriented innovation approaches in large firms, whereas substitutable relationships were confirmed in SMEs. This study sheds new light on open innovation by identifying the role of different types of innovation approaches, firm size, and IT capabilities.

• Asian Journal of Innovation and Policy
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• 제7권1호
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• pp.103-130
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• 2018

It is generally understood that clusters are the promoters of innovation and therefore, the attention of researchers has been increasingly to discern the factors driving innovation among the firms in a cluster, especially in a high-tech cluster. In this study, we identify the variables capturing the nature of a firm that possibly impact the absorptive capacity of a firm and subsequently ascertain their impact on the degree of interactions between a firm, and other firms and associated institutions within and outside a cluster, respectively. Furthermore, we probe the influence of these interactions as a whole on firm-level innovation. The study was carried out in the context of Bengaluru, which houses the densely interconnected network of innovation-intensive high-tech manufacturing firms forming a high-tech manufacturing cluster. Data were drawn from 101 high-tech manufacturing firms belonging to electronics, machine tools, electrical and pharmaceutical industries. Based on the cluster analysis and subsequent graphical analysis on each of the three profiled clusters, it was found that size and origin of a firm have significant impact on the degree of firm's interactions. In turn, higher dynamism of firms in terms of degree of interactions led to higher innovation performance.

• 한국경영과학회지
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• 제40권1호
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• pp.5-19
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• 2015

Literatures on open innovation have two major limitations. First, either on a firm level or on an industry level did they analyze the open innovation issues. The results of a firm's innovation can be diffused through the whole network and the firm can learn back from the network knowledge. Prior literatures did not consider the feedback loop among firms and network in which the firms are involved. Second, most open innovation research had a static perspective on firm's innovation performance. Since the diffusion, spill-over and learning among network members are involved over time, the open innovation is intrinsically dynamic. From the dynamic perspective, we can appreciate the fundamental attributes of the open innovation network which involves diverse firms, research institutes, and universities. In order to overcome the limitations, we suggest a dynamic model for open innovation network. We build an agent-based model which consists of heterogeneous firms. The firms are connected through a scale-free network which is formed by preferential attachment. Through the diverse scenario of simulation, we collect massive data on the firm level and analyze them both on firm and industry level. From the analysis, we found that, on industry level, the overall performance of open innovation increases as the internal research capability, absorptive capacity, and learning curve coefficient increase. Noticeably, as the deprecation rate of knowledge increases, the variability of knowledge increases. From the firm level analysis, we found that the industry-level variables had a significant effect on the firm's innovation performance lasting through all the time, whereas the firm-level variables had only on the early phase of innovation.