• Asia pacific journal of information systems
• /
• v.15 no.3
• /
• pp.9-39
• /
• 2005

Recently, knowledge transfer has been recognized as one of the major factors for success of IT projects but little investigated in Information Systems research. IT project, which needs collaboration between organization's IT project team and external partner, is an critical source for a firm to acquire external knowledge and to achieve its competitive advantage. Based on this recognition on knowledge transfer under IT project, we investigate a mediation role of knowledge transfer to IT project performance after identifying its antecedents such as project team capabilities and partner capabilities. The research model is tested by analyzing 161 sample data gathered from firms' employees who have participated IT projects within last two years. The results reveal that knowledge transfer has full-mediation effect between its antecedents and IT project performance. Moreover, project team capabilities have more impacts on knowledge transfer than partner capabilities do.

• 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.

• 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.

• Proceedings of the Technology Innovation Conference
• /
• 2000.06a
• /
• pp.211-241
• /
• 2000

This study explores building process of innovative capability through overseas direct investment (ODI) by taking the camera business of Samsung Aerospace Industry (SAI) as a case. SAI with less than 20 years history has pursued an aggressive ODI and developed its own camera models. It acquired Rollei in Germany and Union in Japan in 1995, for acquiring advanced technology. Several factors leading to the success of SAI's innovative cability building were taken into consideration. First, SAI effectively absorbed technological knowledge by exchanging technical personnel with foreign partners. Second, it chose right partners with the complementary knowledge required for advancing its technological capability. Third, it strengthened its competrnce to satisfy the technical standards of the partner dompanies in OEM trade relations. Fourth, it successfully formed a global marketing network in which subsidiary companies plays a central role in each region. Finally, SAI successfully addressed the factors of mutual respect between partners in order to let its partners to be confident in their ventures.

• Journal of Technology Innovation
• /
• v.8 no.2
• /
• pp.145-170
• /
• 2000

This study explores the building process of innovative capability through overseas direct investment (ODI) by taking the camera business of Samsung Aerospace Industry (SAI) as a case. SAI with less than 20 years history has pursued an aggressive ODI and developed its own camera models. It acquired Rollei in Germany and Union in Japan in 1995, for acquiring advanced technology. Several factors leading to the success of SAI's innovative capability building were taken into consideration. Fists, SAI effectively absorbed technological knowledge by exchanging technical personnel with foreign partners. Second, it chose right partners with the complementary knowledge required for advancing its technological capability. Third, it strengthened its competence to satisfy the technical standards of the partner companies in OEM trade relations. Fourth, ti successfully formed a global marketing network in which subsidiary companies plays a central role in each region. Finally, SAI successfully addressed the factors of mutual respect between partners in order to let its partners to be confident in their ventures.

• Journal of the Korean Magnetic Resonance Society
• /
• v.23 no.1
• /
• pp.33-39
• /
• 2019

Studies on the interactions of proteins with partner molecules at the atomic resolution are essential for understanding the biological function of proteins in cells and for developing drug molecules. Solution NMR spectroscopy has shown remarkably useful capability for investigating properties on the weak to strong intermolecular interactions in both diluted and crowded solution such as cell lysates. Of note, the state-of-the-art in-cell NMR method has made it possible to obtain atomistic information on natures of intermolecular interactions between target proteins with partner molecules in living cells. In this mini-review, we comprehensively describe the several technological advances and developments in the in-cell NMR spectroscopy.

• Journal of Intelligence and Information Systems
• /
• v.17 no.1
• /
• pp.37-52
• /
• 2011

Supply chain management is a strategic thinking which enhances the value of supply chain and adapts more promptly for the changing environment. For the seamless partnership and value creation in supply chains, information and knowledge sharing and proper partner selection criteria must be applied. Thus, the partner selection criteria are critical to maintain product quality and reliability. Each part of a product is supplied by an appropriate supply partner. The criteria for selecting partners are technological capability, quality, price, consistency, etc. In reality, the criteria for partner selection may change according to the characteristics of the components. When the part is a core component, quality factor is the top priority compared to the price. For a standardized component, lower price has a higher priority. Sometimes, unexpected case occurs such as emergency order in which the preference may shift on the top. Thus, SCM partner selection criteria must be determined dynamically according to the characteristics of part and its context. The purpose of this research is to develop an OWL model for the supply chain partnership depending on its context and characteristics of the parts. The uncertainty of variable is tackled through fuzzy logic. The parts with preference of numerical value and context are represented using OWL. Part preference is converted into fuzzy membership function using fuzzy logic. For the ontology reasoning, SWRL (Semantic Web Rule Language) is applied. For the implementation of proposed model, starter motor of an automobile is adopted. After the fuzzy ontology is constructed, the process of selecting preference-based supply partner for each part is presented.

• Journal of National Security and Military Science
• /
• s.5
• /
• pp.47-85
• /
• 2007

Reserved force's training(RFT) is undoubtedly the critical component to increase the national capability in case of emergency. It is because RFT plays an important role in maintaining the peace for the Korean peninsula as the key deterrence force power for more than 40 years. Considering the reserved force reform linked with the goal and the plan of Korean Defense Reform 2020', we can expect the utility of the reserved force as the potential combat power to make national defense resources more efficient and useful. In that sense, this study suggests some solutions to promote the reserved force's competency to demonstrate the ROK Armed Force's combat power as the equivalent partner with the active force as well as the future deterrence power. This study also analyzes the present training system including law and regulation, identifies some implications through the literature review, and designs the future ROK reserved force's training system by extracting new variables forecasting the future environment for national defense. In addition, this study includes its concerned systems generally without limiting the scope into the reserved force. Therefore we try to seek to prepare for mobilization readiness and to promote regional hometown defense capability in order to cope with the enemy's threat in case of emergency.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.44 no.3
• /
• pp.192-206
• /
• 2021

The pharmaceutical industry is an industry that provides medicines related to the health and life of the people. The pharmaceutical industry is a traditional regulation industry with the characteristics of R&D(Research and Development), purchasing, manufacturing, distribution and consumption under strict government management. Until now, pharmaceutical companies have continued to make efforts to maintain competitiveness through patent management, new product development, and marketing. However, industries are rapidly changing, including rising costs for developing new products and expanding generic markets. As these changes and uncertainties in the management environment increase, efforts are required to improve the competitiveness of the pharmaceutical industry from a new perspective. In this study, we intend to examine the impact of SCM(Supply Chain Management) dynamic capability of pharmaceutical companies on corporate performance through partnerships to respond to market changes and uncertainties. It was determined that the agility, visibility and flexibility that constitutes the SCM dynamic capabilities would affect the performance of pharmaceutical companies. In this study, the importance of SCM dynamic capabilities and cooperative relationships was identified through surveys by SCM managers of pharmaceutical companies. Consequently, in the pharmaceutical industry, which is a regulatory industry, we have identified that SCM dynamic capabilities and cooperative relationships with partner companies have a significant impact on corporate performance.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.3
• /
• pp.16-23
• /
• 2012

Large corporations and small and medium-sized enterprises businesses have tried finding cooperative partner models through win-win activity. In this study, certain factors were researched, which affect on the achievements by win-win activity of large corporative and SMEs from a standpoint of development by SMEs, the establishment of confidence, technical innovation and competence of value chain competence in order to enforce supplying value under the win-win activity. The result of this research presents that the achievement of win-win activity by large corporations and SMEs is related positively to developmental capability, cooperative culture, developmental innovation, innovation of process, outer technological innovation and value chain.