Factors Affecting Open Innovation Performance of Korean Content Company: Focus on Alliance Strategy and Intellectual Property Management Capacity

11-15This paper analyzes the factors affecting open innovation performance in the Korean Contents industry, with a focus on alliance strategy and intellectual property (IP) management capacity, by applying multiple regression models with data collected from 89 companies. The results showed that the technological alliance of a content company has a statistically significant impact on its innovation performance. IP management capacity also showed a positive influence on an innovation performance of content companies. This study suggests that content companies need to build up technological alliance with multiple external sources and their IP management capacity in order to maximize their open innovation performance

Factors Affecting Open Innovation Performance of Korean Content Company: Focus on Alliance Strategy and Intellectual Property Management Capacity

This paper analyzes the factors affecting open innovation performance in the Korean Contents industry, with a focus on alliance strategy and intellectual property (IP) management capacity, by applying multiple regression models with data collected from 89 companies. The results showed that the technological alliance of a content company has a statistically significant impact on its innovation performance. IP management capacity also showed a positive influence on an innovation performance of content companies. This study suggests that content companies need to build up technological alliance with multiple external sources and their IP management capacity in order to maximize their open innovation performance

How an Open Innovation Strategy for Commercialization Affects the Firm Performance of Korean Healthcare IT SMEs

Small and medium-size enterprises (SMEs) in the healthcare IT industry must have innovative technology and, at the same time, be able to commercialize this technology in order to have sustainable growth, as enterprises in any other industry do. However, due to the lack of resources of SMEs, many studies focus on effective and innovative strategies based on a resource-based view. To be more effective, some SMEs collaborate with other companies in the manufacturing process, not as a closed, but rather as an open innovation. However, this collaboration is difficult and bears risks. Additionally, as an external factor, the government certification system attempts to help SMEs. Therefore, in this study, we performed a multiple regression analysis centered on firms’ resources and strategies. Three results were obtained. First, in terms of the firms’ resources, the higher the quality of patents that measure firm capacity, the higher the firm performance. Second, regarding the firms’ strategies, cooperation with external companies in the manufacturing process has a positive effect on firm performance. Third, receiving government certification (InnoBiz certification), as a form of cooperation with the government, has a negative impact on firm performance. In other words, the present government policy to support the R&D of SMEs needs to be adjusted. SMEs can develop high-quality patents, and strategies for cooperation with external companies can enhance the innovation performance of enterprises

How Intellectual Property Management Capability and Network Strategy Affect Open Technological Innovation in the Korean New Information Communications Technology Industry

This paper analyses factors in open innovation activity in the Korean new information and communications technology (ICT) industry, with a focus on cooperation network strategy and intellectual property (IP) management capability, by applying multiple regression models with data collected from 300 companies within the industry. The results of this analysis suggested that the intensity and variation of a company’s technological cooperation with a new ICT company has a statistically meaningful impact on its innovation. In particular, the impact depended on the type of cooperation network. Though IP management capability was also shown to have an important influence on a new ICT company’s innovation, the impact of specific actions for IP management varied by the specific type of innovation results. This study suggests that new ICT companies need to construct technological innovation networks using multiple external sources and enhance their IP management capability in order to increase their technological innovation performance. The factors influencing technological innovation are elements of open innovation, indicating the open technological innovativeness of the new ICT Industry

How to Improve Performance and Diversity of Government-Funded Research Institute Ecosystem? Focus on Result Sharing and Feedback Policy

Despite its importance to the performance outcome of an organization, there are very few studies on how feedback mechanism impacts ecosystems of government-funded research institutes (GIs). This study focuses on the effect of the feedback mechanism on the average performance and diversity of a GI ecosystem. Feedback mechanisms consisted of feedback strategy and degree of result sharing. An agent-based model that embeds a genetic algorithm to replicate a real GI ecosystem was used. It was found that relational patterns between average performance and degree of result sharing varied by type of feedback policy. In contrast, convergence time, which refers to the average period of settling the stable state in the perspective of ecosystem diversity, depends on the ratio of result openness rather than the type of feedback policy. This study suggests two plans to improve the GI assessment system by changing the degree of result sharing and feedback type

What Types of Government Support on Food SMEs Improve Innovation Performance?

Since small and medium enterprises (SMEs) play an important role in economic development, the government implements various supports. Nevertheless, SMEs have difficulties in gaining a competitive advantage in the market owing to lack of capital and capacity. Accordingly, SMEs try to secure a competitive advantage through innovation. Government support is necessary for the innovation of SMEs, and it is essential for food SMEs as well. Whether government support for firms can affect firm’s innovation is still a matter of debate. In particular, it is necessary to empirically investigate the relationship between government support and innovation for SMEs in latecomers to the food industry such as Korea. Therefore, this study conducted an empirical study on the factors that determine the innovation performance of food SMEs by government support. This study used a two-stage regression model. The government support does not unilaterally affect innovation performance, but rather, an endogeneity problem occurs through the interaction between them. This study examined the interrelationships between variables for a clear estimate of government support. Before two-stage regression, this study used the ordered logistic regression to determine the instrumental variables. Each instrumental variable was estimated for the seven types of government support that are normally implemented. The result suggests that the government certification support is effective in improving the innovation performance of food SMEs. This study is useful to establish innovation strategies for supporting food SMEs’ innovation in late-coming countries

Research on open innovation strategy and its performance in Korea smart media industry: Focusing on user innovation strategy

노트 : 20th ITS Biennial Conference, Rio de Janeiro, Brazil, 30 Nov. - 03 Dec. 2014: The Net and the Internet - Emerging Markets and Policie

How to improve performance and diversity of government-funded research institute ecosystem? Focus on result sharing and feedback policy

Despite its importance to the performance outcome of an organization, there are very few studies on how feedback mechanism impacts ecosystems of government-funded research institutes (GIs). This study focuses on the effect of the feedback mechanism on the average performance and diversity of a GI ecosystem. Feedback mechanisms consisted of feedback strategy and degree of result sharing. An agent-based model that embeds a genetic algorithm to replicate a real GI ecosystem was used. It was found that relational patterns between average performance and degree of result sharing varied by type of feedback policy. In contrast, convergence time, which refers to the average period of settling the stable state in the perspective of ecosystem diversity, depends on the ratio of result openness rather than the type of feedback policy. This study suggests two plans to improve the GI assessment system by changing the degree of result sharing and feedback type

The Influence of a Firm’s Capability and Dyadic Relationship of the Knowledge Base on Ambidextrous Innovation in Biopharmaceutical M&As

In recent years, technological mergers and acquisitions (M&As) have become important strategic tools for enterprises to access and utilize new external knowledge. In particular, in the biopharmaceutical industry, M&A activities are actively being progressed due to an increase in new drug development costs, a decrease in R&D productivity, and the patent expiration of blockbuster drugs. However, there is a lack of research on the integrated view of (1) the acquirer’s capability and (2) the dyadic relationship of the knowledge base between the acquirer and target on the innovation performance of the acquirer. Furthermore, there are few empirical studies on the impact of these factors on ambidextrous innovation; that is, exploitative and explorative innovation. Therefore, with this integrated view in mind, this study analyzed the effect of each factor on the exploitative and exploratory innovation performance of the acquirer. A negative binomial regression was conducted using patent data to measure the innovation outcome of the acquirer after M&A. The findings suggest that (1) the acquisition experience of the acquirer and (2) the technological commonness between the acquirer and the target both had a significant impact on the exploitation and exploration innovation performance

Factors Affecting Outbound Open Innovation Performance in Bio-Pharmaceutical Industry-Focus on Out-Licensing Deals

Due to the high risk in development process, the bio-pharmaceutical industry has transformed itself into an open innovation framework in order to overcome economic risk. This study examines the relationship between outbound open innovation and financial performance in bio-pharmaceutical industry. Specifically, this study extends knowledge-based view to link the open innovation performance and licensor’s sustainability. In order to provide empirical evidence, this study uses econometric methodology with several databases including bio-pharmaceutical firms. The analysis shows firm’s desorptive capabilities have a significant effect on financial performance, confirming the application of knowledge capacity framework. The result of the study can suggest the way how the licensors can maintain the sustainability of competitiveness in bio-pharmaceutical industry