• IE interfaces
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• v.25 no.3
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• pp.309-318
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• 2012

Forecasting probability or likelihood of technology development success has been a crucial factor for critical decisions in technology management such as R&D project selection and go or no-go decision of new product development (NPD) projects. This paper proposes an analytic network process (ANP) approach to forecasting of technology development success. Reviewing literature on factors affecting technology development success has constructed the ANP model composed of four criteria clusters : R&D characteristics, R&D competency, technological characteristics, and technological environment. An alternative cluster comprised of two elements, success and failure is also included in the model. The working of the proposed approach is provided with the help of a case study example of MRAM (magnetic random access memory) technology.

• International Journal of Knowledge Content Development & Technology
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• v.6 no.1
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• pp.5-39
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• 2016

Social networking applications (SNAs) are among the fastest growing web applications of recent years. In this paper, we propose a causal model to assess the success of SNAs, grounded on DeLone and McLean's updated information systems (IS) success model. In addition to their original three dimensions of quality, i.e., system quality, information quality and service quality, we propose that a fourth dimension - networking quality - contributes to SNA success. We empirically examined the proposed research model with a survey of 168 Facebook and 149 Twitter users. The data validates the significant role of networking quality in determining the focal SNA's success. The theoretical and practical implications are discussed.

• Journal of Technology Innovation
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• v.8 no.2
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• pp.119-143
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• 2000

The main objective of this study is to test hypotheses by empirical study on the technology transfer from a national institute to small and medium sized enterprises(SMEs) in the Korean electronic devices industry. The important findings of the study are as follows: First, the success of the technology transfer from national institute to SMEs depends on the character of the project manager such as research experience and academic degree level. Second, the success of the technology transfer is related to the nature of the research project, especially to the technology life cycle stage but insignificantly to the amount of R&D fund and duration. Third, another success factor for technology transfer is the joint technology development between institute and SMEs, which is due to the possibility of early commercialization of the technology development project. Fourth, the hypothesis about the relationship between the project selection and evaluation results and technology transfer success is not statistically supported.

• International Commerce and Information Review
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• v.18 no.3
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• pp.275-306
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• 2016

This paper investigates the success and failure factors of technology commercialization for SMEs developing public sector technologies. The 2014 Korea Technology Transfer Commercialization Status Report states that only 30% of the technologies that are transferred are being used and the rest are neglected. The objective of this paper is to determine the relationship between quantitative variables and the success rate of technology commercialization of 1,222 SMEs in Korea by using three analyzes (cross tabulation, process and logistic) methodologies to increase the success of public technology commercialization. The outcome shows that the number of successful technology deployment cases and the number of IPR registration cases have a positive impact on the success rate of public technology commercialization. The statistical outcome also verifies that unnecessary technology development, more attempts and failures of technology development, and longer lead time in the planning phase have a negative impact on the success rate of the public technology development and commercialization. For policy implications, the government should be selective in supporting public technology commercialization and development for SMEs as not all technology attempts exert positive effects.

• The Journal of Information Technology and Database
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• v.3 no.2
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• pp.97-118
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• 1996

Information systems quality engineering is one of the most problematic areas in practice and research, and needs cooperative efforts between practice and theory [Glass, 1996]. A model for evaluating the quality of system development process and ensuing success is proposed based on information processing theory of project unit design. A nomological net among a set of quality variables is identified from prior research in the areas of organization science, software engineering, and management information systems. More specifically, system development success was modelled as a function of project complexity, system development modelling environment, user participation, project unit structure, resource availability, and the level of iterative nature of development methodology. Based on the model developed from the information processing theory of project unit design in organization science. appropriate quality metrics for each variable in the proposed model are matched. In this way, a framework of relevant systems development and success quality metrics for controlling systems development processes and ensuing success is proposed. The causal relationships among the constructs in the proposed model are proposed as future empirical research for academicians and as managerial tools for quality managers. The framework and propositions help quality manager to select more parsimonious quality metrics for controlling information systems development processes and project success in an integrated way. Also this model can be utilized for evaluating software quality assurance programmes, which are developed and marketed by many vendors.

• Journal of Technology Innovation
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• v.5 no.1
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• pp.206-222
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• 1997

The conventional analysis with which justifies government intervention of the private sector's innovation activities is the market failure approach. According to such analysis, fund allocation through autonomous market mechanisms is not optimal in technology financing because of the disparity between the desirable level of investment for society as a whole and that for private firms. To optimize the fund allocation, public policies such as subsidy, preferencial loan and venture capital investment programs are designed for technology development projects performed by private firms. They, however, have not been effective in increasing private investment for such projects. In most cases, it was found that little considerations given to the relationship between uncertainty embodied in technology development projects and each types of financing. With respect to optimizing fund allocation, technology development projects should be financed by different means according to their probability of success and the expected value of technology. Employing various theoretical models on financing decision-making we verify here that technology development projects to be supported by commercial banks or venture capital institutions is limited contingent upon levels of uncertainty adn expected value. Under the assumption that financial institutions are risk averse, loan or investment can be available only if the probability of success of the project is higher than the probability premium and the current market rate of interest. Therefore, the projects that have lower probability of success and/or small expected return are excluded from commercial loan or investment programs. However, the remaining projects, whose probability of success is low but with high expected return, may be applied under government subsidy programs. To achieve optimality of fund allocation and to activate technology financing, we conclude that there should be a systematic division of role among financial institutions including government commercial banks, and venture capital institutions.

• Journal of Information Technology Applications and Management
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• v.14 no.4
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• pp.121-138
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• 2007

This study proposes a method to improve network security systems based on critical success factors for systems development. To accomplish the research objective, the study analyzes required functions of network security systems and reviews existing methods to improve network security systems. Based on the analyses and literature review, critical success factors for development of network security systems are identified and a new method to improve network security systems based on the critical success factors is proposed. The proposed method to improve network security systems is based on utilizing multi-core processors. A prototype is developed and validated. This study will provide a good case in the network security area where research incorporating both engineering and management disciplines lacks.

• Proceedings of the Korean Society for Quality Management Conference
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• 2010.04a
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• pp.435-439
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• 2010

The purpose of this paper is to design a new management model based on the grill-formed product charscteristic area(PCA) which specify the position of products classified by the level of market and technology. This product characteristic area is composed of 9 cells and the cases sorted by market and technology are analyzed by each cell. Conclusion of this study based on many significant results gained by the various multi-variate analysis is summarized as follows; First, it can be noted that success/failure factor and progress stages are different by each cell. Second, a new management model is designed by combining the Motive Resource, Success/Failure(S/F) factors, and Progress Stages of New Product Development. Third, success products featured a balance between marketing oriented and technically oriented activities. A new attemp that combine S/F factors with development stages by each product cell will be of great usefulness for further study.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.64.1-64
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• 2001

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.205-211
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• 2002

The purpose of this paper is 1) to extract managerial factor into each cell which is classified by the characteristic grill of new products 2) to construct a management model of new product development for korean companies. For this purpose, the characteristic grill of new products is classified by which is market/technology sphere. Moreover the focus of this analysis is on examination of success/failure factors, which have an important effect upon new product success or failure. The variables for this study were selected from literature survey and pre-interview was implemented specially. The subject of study was project leaders of electronics industry where have taken the leading part in product development activities in Korean manufacturing industries. Enquete survey was conducted in each firm and project managers were asked to respond. Conclusion of this study based on many significant results gained by the various multi-variate analysis are summarized as follows. First, it can he noted that success/failure factors are different by each classified model and characteristic grill of a new product. Second, it has been identified that the important factors of success products were technical & management support and market ability, the important factor of failure product were lacking in ability of technical development and R&D management system construction. This paper presents some useful guidelines in strategic and managerial aspects for development of new products. Concurrently, the model of this study should be a great practical approach for application of actual affairs.