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This study aims to verify the effectiveness and efficiency of corporate technology innovation activities.

This study empirically analyzes the effects of research and development (R&D) capability on patent and new product development achievements on innovation-type small- and medium-sized enterprises (SMEs) by using the “Report on Korean Innovation Survey 2010: Manufacturing Sector” data released by the Science and Technology Policy Institute.

The results of the study indicate that staffing of the concentration of R&D human resource team and efforts toward open innovation are essential factors for the creation of corporate performance.The number of persons of the concentration R&D team in particular makes up essential resources for patent acquisition and new product development. In addition, in case of an SME’s with relatively poor resources, it is necessary to acquire resources, both material and immaterial, learn from the external R&D activities and internalize those into key corporate capabilities rather than step up the R&D activities on their own.

The results of this study indicate that innovative small enterprises need to secure the number of R&D human resource members for maintaining sustainable competitiveness and securing market share. Therefore, a strategy is needed that would enable employing and raising excellent human resource in the quantitative and qualitative aspects. However, in the circumstances that small enterprises suffer difficulty in securing professional human resource for R&D compared to large enterprises, as there is a limitation for securing human resource for R&D from only the dimension of enterprises, governmental and political support is thought to be necessary for securing good-quality human resource for R&D. Accordingly, the results of this study provide many implications for the necessity of detailed methodology on how to expand professional human resource for R&D among supporting policies for technical innovative enterprises and to establish innovative strategies of enterprises.

The purpose of this study is to develop an appropriate new product development (NPD) process of Company “T”, a medium-sized firm, by analyzing the existing NPD process and failure cases of the Company.

The proposed research framework is as follows: first, prospective studies of the NPD process are performed using the existing literature and preliminary references; second, comparative analysis between the current processes and a NPD process is performed; third, phase-based evaluations upon failed product cases are conducted with a NPD process so as to identify the abridged steps and root-causes of failures; finally, renewed priorities are set forth by utilizing the analytic hierarchy process analysis and questionnaire analysis upon the above identified causes of failures.

The resulting accomplishments include the establishment of NPD processes that resonates with the current states of Company “T”, which, in turn, ensures the increase of efficiency, the decrease in development duration and the strategy of capacity-concentration and priority-selection.

As Company “T”’s development process is outdated and products are developed without adequate market information research and feasibility analysis, the percentage of failed development project is as high as 87 per cent. Thus, this study aims to develop an appropriate NPD process of Company “T” by analyzing the existing NPD process and failure cases of the Company.

The purpose of this paper is to provide useful implications for Korean export companies to adopt the smart technology to improve their performance in the era of industrial convergence with the interdisciplinary study between trade and technology management.

This study followed the five-stage procedure and methods. In the first stage, measurement items were developed in four performance factors: leaning and growth, internal process, customer and finance. In the second stage, data were collected by conducting two types of surveys: first, for Korean export companies that have adopted Radio frequency identification (RFID) to test the proposed model and analyze the performance and second, for RFID experts of industry-university R&D cooperation to measure the relative importance of factors and items. In the third stage, the model was verified with structural equation modeling. In the fourth stage, AHP was used to analyze the relative importance of factors and items. In the fifth stage, post-RFID adoption performance in Korean export companies was measured by a formula for the performance index. Through these five-stage procedure and methods, the final performance improvement strategies and practical implications are presented in the conclusion.

The framework finds that the total score of RFID post-adoption on company performance proved relatively low, which indicates that the effect of this technology on export companies’ performance is still unsatisfactory. And financial performance proved to be ‘top priority’ area, which requires the most urgent effort for improvement since its importance was higher than learning and growth, internal process and customer performance—but nonetheless its performance index was the lowest. This study finds that strategic decision making is required for adopting smart technology in the perspective of technology convergence to improve the performance of companies among heterogeneous industries.

Despite the significant results of this study alone, it also has limitations. Therefore, the direction of the future study is as follows: future research should focus on finding specific impact factors enhancing post-adoption of smart technologies including RFID performance by conducting empirical studies that identify the factors affecting post adoption of smart technologies rate directly or indirectly.

In the current global market environment, not only technological convergence in the same kind of industry but also industrial convergence in the different kinds of industries are essential to manufacturing and service companies including to export companies with perspective of Innovation. This study has the value as an interdisciplinary study to actually measure the performance of a company by industrial convergence through the theme of adoption of smart technology in export companies.