• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.43-62
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• 2022

This paper is a study to analyze when ISV(independent software company) has more active participation in the platform ecosystem. According to previous studies, companies are active in technological innovation when they can appropriate the outcome of innovation and when they have complementary assets (marketing, manufacturing capabilities, etc.) that can convert the innovation into value. The effect of these two conditions to join platform ecosystem is investigated. The duplication between the ISV's product portfolio and platform service is also included as an independent variable. The two sample groups are composed of independent SW companies that signed a partner agreement with platform companies and non-participating companies in the platform. As a result of empirical study, it is found that the patent rights do not affect participation in the platform. The ISVs might have believed that the benefits from cooperation with platform companies are greater than the risks of exposure to innovative technologies and unique Biz models. On the other hand, downstream's capability and the duplication of product portfolio affect participation in the platform. If ISVs have the downstream capability to transform cooperation into value creation, ISVs are actively participating in the platform. In addition, cooperation is active when the product portfolio is complementary to platform service rather than competition. This study is the empirical study of open innovation between Korean independent software companies and digital platform companies. There are similar prior studies abroad, but there are no similar studies in Korea. It is meaningful in that the determinants of platform ecosystem participation were investigated through empirical analysis by composing a sample group of companies participating in the platform ecosystem and companies not participating in the platform ecosystem.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.25-53
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• 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 Korea Technology Innovation Society Conference
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• 2006.11a
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• pp.103-116
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• 2006

The recycle economy is the first stage of knowledge economy. In March 2005, the author attended the forum of 'Festival of Thinkers' in the capital of United Arab Emirates, Abu Dhabi. Through five day' discussing with 10 Nobel Prize winners and 18 thinkers from five continents, the conception of Recycle Economy is regulated. The former principle of '3R' in clean production has been expanded to '5R' in new recycle economy, adding concept of 'rethink' and 'repair' to the 'reduce, reuse and recycle' This article makes a full exposition to the origin, contents and its innovation to the classical western economics of the new recycle economics. Before the 2008 Beijing Olympics, the article discusses the application of new recycle economy in terms of promoting the ability of national innovation system and independent innovation, city construction and the industry innovation concerning Beijing's features.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.96.2-96
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• 2002

In this paper, a new method for the mixed image separation is presented using the independent component analysis, the innovation process, and the expectation-maximization. In general, the independent component analysis (ICA) is one of the widely used statistical signal processing scheme that represents the information from observations as a set of random variables in the form of linear combinations of another statistically independent component variables. In various useful applications, ICA provides a more meaningful representation of the data than the principal component analysis through the transformation of the data to be quasi-orthogonal to each other, which can be utilized in linear p...

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.29
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• pp.89-119
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• 2006

The almost studies that is related to an e-Trade and an e-Marketplace only have been focused on the diffusion and acceptance since the innovation was adopted in markets. The existing studies failed to notice the resistance of innovation in the course of accepting innovation. The resistance of innovation, however, is not the contrary concept of acceptance, it is should be understood as a construct which can explain the course of the diffusion and acceptance. This study will be analysed as follows: First, nevertheless the resistance of users is important, it couldn't be presented systematically through acceptance of innovation, accordingly the concept of resistance of innovation will derive concept from review of literature researched on prior researches. Second, the factors which can be affected to the resistance of innovation of the main trade firms which use the e-Marketplace will draw. Third, we identify some of determinants that can affect to resistance of user by empirical study, also we investigate how participation can be affected by using a contingency variable. The independent variables used through researched review are the characteristic factors of trade e-Marketplace which was consisted of relative advantage, suitability and complexity, the characteristic factors of trade firms which was consisted of propensity of innovation and attitude, and the characteristic of service quality which was consisted of reliability and reaction. This research also examines the association between independent variables and the resistance of user(dependent variable) by using a variable on participation of user(moderator variable). The sample surveys for this study have been used 109, this study was analysed by the SPSS 12.0 of statistical tool. According to the proved hypothesis there are three important factors which affected the resistance of user. One factor was the relative advantage and complexity from the point of view on the trade firms characteristics of e-marketplace, another factor was the propensity of innovation from the point of view on the trade firms factors, the third factor was the reliance from the point of view on the service quality factors. The results also provided that relative advantage and suitability among the characteristics of e-Marketplace and the reliability among the service quality characteristics have moderated in the moderated regression which was tested the association independent variables and dependent variables while participation of user was using for contingency variable.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.1
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• pp.79-90
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• 2014

The Purpose of this study is to empirically examine the impact of various internal and external innovation activities of SMEs on their innovation performances in the field of electronics and communication industry. Drawing upon the literature review, internal and external innovation activities are defined and conceptualized, and independent, dependent and moderator variables are developed. We have used survey-based data for this study from the survey of technology innovation activities in manufacturing industry, which was conducted by the Science and Technology Policy Institute (STEPI) in 2010. The main result of this study shows that there were no significant differences in the impact of innovation activities on market performance according to the size of SMEs. On the other hands, we found that there were significant differences in the impact of innovation activities on technological innovation performance according to the size of SMEs. Therefore, in order to make high technological innovation performance, companies in the field of electronics and communication industry need to properly implement the internal and external innovation activities by considering their size.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.9-17
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• 2013

The purpose of this study is to figure out the impacts of technological innovation and cost management on productivity in small shipping industries to come up with developmental implications. To achieve this, a survey was carried out to 150 workers in small shipbuilding industries through April 2 to April 20, 2012. As for findings stated above, technological innovation and cost management in the Korean small shipbuilding industries were key factors that elevate financial and non-financial productivity. In the light of low technological prowess and cost structure of small shipbuilding industries, their productivity can be improved when intensive cost management with production factor technology as know-how is realized through quality management, which product development technology is the top priority as an independent niche strategy. Consequently, the combination of infrastructures in small shipbuilding industries with continuous efforts for cost reduction by the link to the systematized structure can't only secure their independent competitiveness, but raise their productivity.

• World Technopolis Review
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• v.8 no.1
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• pp.21-42
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• 2019

The purpose of this research was to investigate the factors influencing global expansion/scalability of Kenyan Small and Medium Enterprises (SMEs). Factor analysis and multiple/multivariate regression analysis to determine the functional relationship between independent variables (factors) and the dependent variable was used. The independent variables were: innovation & technology, fitness/appropriateness of management, global marketing strategy; and support environment and the dependent variable, global expansion/scalability. Data was collected from a survey of randomly selected firms of 205, drawn from a population of 440 firms from Kenya Manufacturers Directory, with 175 firms responding. The key findings from the research in relation to Kenyan SMEs were that: there is a functional relationship between global market strategy and global expansion; there is a functional relationship between innovation and technology orientation and global expansion, there is no significant functional relationship between supportive environment of firms and their global expansion; and there is no significant functional relationship between fitness/appropriateness of management and global expansion/scalability. The implications for practice is that the ranking of the factors in order of priority supports focusing concern on the orientation of business strategy toward global market strategy, market research geared at obtaining foreign market intelligence, innovation and technology, product adaptation, service orientation, collaborative ventures, and long-range vision as key factors in making Kenyan firms successful in the international market. The implication for policy and practice is that there is need for collaboration between industry and government in pursuing policies for global expansion/scalability and among SMEs and large enterprises particularly in areas of rapid technological change.

• Asia-Pacific Journal of Business
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• v.11 no.4
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• pp.177-188
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• 2020

Purpose - The purpose of this study was to examine the effect of government R&D programs on firm innovation activities. Design/methodology/approach - This study analyzed survey data on innovation survey in Korea. To investigate our research hypothesis we used ordered logit regression analysis. Findings - This study unveils different effects of diverse government R&D programs on firm innovation activities. Most of government programs-R&D tax incentives, information/training, and marketing supports-have positive effects on management innovation activities and negative effects of the usage of procurement programs on management innovation efforts. Some government programs-R&D tax incentives, R&D grants, information/training-have positive effects on technological innovation activities. Research implications or Originality - This paper investigates the effects of diverse government R&D programs on technological and management innovation activities. We examine simultaneous effects of multiple government R&D programs rather than effects of independent R&D programs. This result can contribute to develop more effective government R&D programs to support firm innovation activities.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.257-263
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• 2022

The objective of this study was to see how artificial intelligence applications affected organizational innovation in Jordanian commercial banks. Both independent and dependent variables were measured in three dimensions: expert systems, neural network systems, and fuzzy logic systems for artificial intelligence applications variable. Product innovation, process innovation, and management innovation for the organizational innovation variable. To achieve study objectives, a questionnaire was developed and distributed to a sample of one hundred fifty-three managers in Jordanian commercial banks, who were selected according to the simple random sampling method. Except for the neural network systems dimension, which comes in at an average level, the study indicated that there is a high level of organizational innovation and artificial intelligence applications. Furthermore, the findings revealed that artificial intelligence applications have a significant impact on organizational innovation in Jordanian commercial banks, with the most important artificial intelligence application being a fuzzy logic system. The study suggested keeping track of technological advancements in the field of artificial intelligence applications and incorporating them into banking operations by benchmarking with the best commercial bank practices and allocating a portion of the budget to technological applications and infrastructure development, as well as balancing between technology use and information security risks to ensure client privacy is protected.