• Journal of the Korean Operations Research and Management Science Society
• /
• v.40 no.4
• /
• pp.1-18
• /
• 2015

This paper proposes relational capability as a main driver of constructing inter-organizational collaboration networks. Based on social network theory and relational view literature, three components of relational capability are constructed and implemented by an agent-based model. The components include organizational capability, structural capability, and trust between a partner and a focal firm. These three components are updated by two micro mechanisms: structural mechanism and relational mechanism. Structural mechanism is a feedback loop in which the relational capability increases structural capability and vice versa. Relational mechanism is a learning-by-doing process in which a focal firm experiences success or failure of collaboration and the experience increases or decreases cumulative trust in a partner firm. Result of agent-based simulation shows that a collaboration network emerges through interactions of firm's relational capabilities and the characteristics of emerged networks vary with the contribution of structural capability and trust to relational capability. Specifically, in case structural capability contributes more to relational capability, the average degree centrality and collaboration proportion increases as time passes and enters into an equilibrium state. In that case, almost every firms participated in the network collaborates each other so that the emerged network becomes highly cohesive. In case trust contributes more to relational capability, the results are reversed. In an equilibrium state, the balance of contribution between structural capability and trust makes an emerged network larger and maximizes average degree centrality of the network.

• Korean Management Science Review
• /
• v.29 no.2
• /
• pp.35-52
• /
• 2012

Although many prior studies have investigated the relationship between supply chain and new product development (NPD), the causal relationship between them has not been clearly established. Therefore, this study investigated systematically over the entire process of supply chain management (SCM) from trust to NPD capability, including not only the associations between trust, commitment, collaboration, supply chain quality, and NPD capability, but also the impact of organizational culture in the context of supply chain. In particular, this study examined the mediating effect of commitment on the relationship between trust and collaboration of channel members. In addition, it studies the moderating effect of organizational culture on the relationship between collaboration, supply chain quality, and NPD capability. Using a questionnaire survey, 112 usable responses are obtained. PLS (partial least square) is employed to assess the relationships among related constructs. The results of the data analysis show that (1) commitment mediates the link between trust and collaboration (2) supply chain quality is positively associated with NPD capability, and (3) organizational culture significantly moderates the association between collaboration and supply chain quality, yet it does not the relationship SC quality and NPD capability. Finally, the implications of the results are discussed, and directions for future research are suggested.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.15 no.1
• /
• pp.185-195
• /
• 2020

This study is intended to determine that there is a casual relationship between technological innovation capability and new product development performance in small and mid-sized venture companies, and that the introduction of collaboration as a means to step up technological innovation capability will improve new product development performance. To achieve this, a survey was carried out to employees who are engaged in R&D work for small and mid-sized venture companies based in Korea, and the results were analyzed by regression analysis. The findings showed that technology strategy, technology learning and open innovation belonging to technological innovation capability in small and mid-sized venture companies had an effect on new product development performance. In other words, the selection of collaboration as a wider array of core strategies on new product development performance showed that collaboration was a strategy affecting new product development performance. In addition, the moderating role of technological innovation capability in boosting new product development performance through the introduction of collaboration showed that common collaboration had a positive effect on stepping up technology strategy, and collaboration as a core strategy had a positive effect on the size of new product development performance by strengthening technology strategy and open innovation.

• Asia pacific journal of information systems
• /
• v.23 no.3
• /
• pp.25-53
• /
• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• Korean small business review
• /
• v.41 no.3
• /
• pp.77-94
• /
• 2019

The study examined the effect of collaboration with external institution on new product sales, the mediating effects of technological innovation, and the moderating effect of marketing capability. The results showed that external collaboration with external institution has a significant impact on new product sales in the R&D field of SMEs, and technological innovation plays a mediating role in the relationship between collaboration with external institution and new product sales. Also, the effect of marketing capability in the relationship between technological innovation and new product sales was also significant. Finally, the mediating effect of technological innovation between collaboration with external institution and new product sales was moderated by marketing capability.

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.265-278
• /
• 2013

This study is about how does collaboration activities of large company's Supplier Relationship(SR) effect on manufacturing capability and performance of a SMEs. In this research, there are many ways to analyze data. The methods used in the study are hypothesis testing and empirical testing based on SPSS 21.0 and AMOS21.0, factorial analysis for validity and reliability of questionnaire item, construct validity and variance extracted as a research model, and subcontract-tiers as a moderating variable. As a result, the effect of the collaboration activities of large business did not have the significant effect on supplier's manufacturing capability. It showed different result by subcontract-tiers In first-tier cooperative, collaboration activities of large business had significant effect on manufacturing capability, but it did not have the significant effect on performance. In second/third-tier cooperative, manufacturing capability and performance are significantly affected by manufacturing practices. In conclusion, this study will suggest the direction how to achieve an accompanied growth between large enterprises and SMEs.

• Journal of Digital Convergence
• /
• v.13 no.5
• /
• pp.151-158
• /
• 2015

The purpose of this study to understand collaborative process and the capabilities of the firm impact on innovation performance in convergence environment. To achieve the purpose, research model was empirically tested with a survey from 162 employees from 4 Korea manufacturing companies and 1 USA company. The data obtained from the survey were analyzed using Partial Least Squares (PLS). As a result, collaboration process, learning capability and operation capability have significant and positive impact on innovation performance. It is a meaningful result that the collaboration process improve the innovation performance of firms through the operation capability and the learning capability.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2001.05a
• /
• pp.163-163
• /
• 2001

The primary research questions in this paper are why and how competing firms collaborate, not compete, in the virtual marketplace, e.g., B2B marketplace in the Internet environment. In order to answer the questions, we take on a system dynamics simulation approach: we consider two broad e-collaboration strategies: · Exclusive e-business strategy If the firm adopts this strategy, it allocates all of its resources (available for e-business development) to its own e-business capability building only. · Collaborative e-business strategy When the firm adopts a collaborative e-business strategy, it invests not only in its own, but also the industrys e-business capability building. From the system dynamics simulation results, we conclude that e-collaboration pays off in the long run: although it is hard to tell whether the collaborative strategy is better than the exclusive one during the initial period, it is unambiguous that the collaborative e-business strategy Performs much better in the long run. We infer that such collaboration could occur when the firms realize that they benefit from the expansion of the market demand due to their collaboration. That is, in order for such collaboration between competing firms to be sustainable, such collaboration should create more demand in the market so that each company could earn more profit even if it gets less in terms of market share.

• Journal of the Korea Convergence Society
• /
• v.4 no.4
• /
• pp.1-5
• /
• 2013

This study aims to define the positive relationship among reverse logistics capability, firm's profits, and collaboration satisfaction. In the previous literatures about reverse logistics mainly focus on the importance of relationship between manufacturers and customers, but less likely on the potential positive effects of between collative firms. To implicate reverse logistics gives firms assets recovery, cost reduction through recycling which affects greater profits. Reverse logistics capability would be positively related with increasing profits for collaboration and satisfaction between partners.

• Journal of Korea Technology Innovation Society
• /
• v.16 no.1
• /
• pp.101-129
• /
• 2013

Technological innovation is one of critical challenges for small and medium enterprises(SMEs) as well as larger firms. This study focuses on empirical test about the role of absorptive capacity on the relationship between technological collaboration and technological innovation outcomes in the context of SMEs. To achieve the purpose, we conducted hierarchical regression analysis through 266 samples from Korean manufacturing SMEs that is defined as an enterprise less than 300 employees. As a result, more diverse exploitations for types of technological collaboration have significant and positive impact on technological innovation outcomes. Additionally, the results show that absorptive capacity based on knowledge realization capability strengthens the impact on which external sources and types of technological collaboration affect technological innovation outcomes. Based on the results, we propose that SMEs require intense management efforts in establishing capability to create new knowledges, by combining existing knowledges, because excessive exploitations for external sources of technological collaboration necessarily do not help enhance technological innovation outcomes.