• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.481-499
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• 2012

This paper shows a empirical results by adopting Kauffman' NK model. First, we find interdependence parameter K is nine in the technological ecosystem Landscape. According to principal component analysis, our technological ecosystem landscape is based on K=N-1 technology structure. Second, to Kauffman NK model, our technological ecosystem landscape is completely uncorrelated each other and contains a large number of local optima. As additional technology rises, the number of local optima rises rapidly. Our results mean that the more complexity in the technological ecosystem landscape, the less effective technology innovation will be in our country's technology system.

• Journal of Technology Innovation
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• v.20 no.1
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• pp.169-198
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• 2012

The rapidity at which industrial and business management environment has become globalized, including the FTA, has provided valuable opportunities for domestic small and medium enterprises (SMEs) to obtain global technological business. However, it is unclear whether or not the SMEs' attempt to advance global technological business is producing fruitful results. This study begins with defining global technological business and the efforts of SMEs to develop them and proceeds to discuss survey results that asked the reasoning behind SMEs that entered or wish to enter foreign spheres (China, Japan, Southeast Asia, and Europe) of businesses, and also perform factorial analysis to obtain substantiation. The study classified the relevant SMEs using clustering method. Based on the results, the study makes recommendations to executives in instilling global-minded strategies, on customized support strategies depending on the SME's capability and its intended foreign entry sphere, and on strengthening the SME's competence on the global scale.

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.

• Journal of Technology Innovation
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• v.11 no.1
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• pp.125-145
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• 2003

In the knowledge-based economy, the accumulation of technological knowledge is undoubtedly the core competency to reinforce the competitiveness of individual firms and to raise the innovation capability of social and economic systems. Thus far, however, only single or fragmentary indicators, such as R&D expenditure, R&D stock, the number of researchers and the number of R&D employees have been adopted to measure the amount of technological knowledge. In this research, we suggest an approach for aggregating and structuring respective indicators. Applying correlation and factor analysis, we examine the relationship among nine conventional proxy measures for technological knowledge and present a new approach for gauging an aggregated measure.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.16-22
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• 2001

There is no doubt that agents play an increasingly predominant role in e-commerce, whether these are business-to-consumer or business-to-business applications. However most of the current e-commerce agents only support a single bid for a product at a fixed price. Although price is an important factor, it is not the only concern of both business and consumer. There is doubt as to whether such agents satisfv both parties. Negotiation on a variety of issues is needed in order to reach an agreement. In this paper, a computational agent negotiation(CAN) model is proposed to facilitate multiple-issue negotiation via an agent. The main contribution of the CAN model is it enables agent to participate actively in the negotiation with various feedback instead of simply an agreement or rejection.

• 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.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.173-176
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• 2004

Understanding the fact that more spending for R&D is merely a necessity, not a factor of success, managing technological development efforts effectively and efficiently for higher R&D productivity and sustainable growth has become an important issue for contemporary firms. Based on a survey on small- and medium-sized manufacturing firms, this paper explores the relationships of leadership positions, technological contents and acquisition methods of korean firms. This paper has identified several findings from Korean manufacturing firms: (1) five different patterns are identified in the technology strategy of medium-sized companies; (2) a significantly positive relationship exists between a firm's leadership position and the aggressiveness in technological contents of their acquisition methods; (3) a significantly positive relationship of some technology acquisition methods to the firms' leadership position exists,

• International conference on construction engineering and project management
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• 2007.03a
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• pp.450-458
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• 2007

This paper presents the results of a statistical analysis and its research findings focusing on the learning aspect in the process of international joint ventures (IJVs). The contents of this paper is derived from a sample of 96 field cases based on a proposed conceptual model of effective learning for international construction joint ventures (ICJVs). The paper presents a brief review on the conceptual model with hypotheses and summarized the key results of statistical analysis including factor and multiple regression analysis for the testing of the validity of the proposed conceptual model and its associated research hypotheses. Among other research findings, the research confirms that ICJVs provides an excellent platform of in-action learning for construction organization and suggests that good outcomes in learning could be reaped by a company who has a clear learning intent from the beginning and subsequently take corresponding learning actions during the full process of the joint venture.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.759-768
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• 2007

Construction is one of the most hazardous industries due to its unique nature. Recent occurrences of highly publicised and criticized construction site accidents have highlighted the immediate need for the construction industry to address safety hazards. Safety used to be addressed as an isolated issue in the past, but the problem of safety is an emergent property of a system. In general, it seems that both industrial practitioners and government officials have tended to address safety by focusing on technical aspects and looking for immediate causes of accidents after they have taken place. The objective of this paper is to examine issues and critical factors that affect the safety standards from a holistic point of view. The job of making worksites safe should not just fall squarely on the contractors but should be shared by all parties in the value chain of construction activities.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.1033-1039
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• 2020

Vietnam is conducting an export-led growth model and labour-intensive industries contributing majorly to the total export value. In the context of Industry 4.0, the labour-based industries are significantly affected; hence, enhancing productivity is the key measure to maintain these industries. The garment industry contributes significantly to the total export value of Vietnam. Based on meta-frontier framework, the approach of data envelopment analysis is used to measure technical efficiency of Vietnamese garment firms and the global Malmquist TFP index is utilised to identify productivity change and its components including efficiency, technology and technical gaps between different groups of firms. The data of Vietnamese garment firms from 2013 to 2018 collected from the Vietnam General Statistic Office is used in this study. The results show that: (i) The total factor productivity of Vietnamese garment firms growth, technical progress is the main contributor; (ii) The private garment sector is the leading group; (iii) There is a large technological gap among Vietnamese garment sectors. The private and FDI garment firms have experienced a growth in all components of total factor productivity change. Meanwhile, technological progress change is the main reason to constrain the productivity growth of state-owned garment firms.