• Title/Summary/Keyword: Innovation factors

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A Study on Growth and Development Impact Factors for Innovation Cluster: A Case of the Daedeok Innopolis (혁신클러스터의 성장에 영향을 미치는 구성요인 분석: 대덕연구개발특구를 중심으로)

  • Cheong, Young-Chul;Lee, Sunje
    • Journal of Technology Innovation
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    • v.24 no.1
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    • pp.189-219
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    • 2016
  • Innovation clusters have developed a key policy indicator in the level of national competitiveness. Many countries have enhanced their regional competitiveness by fostering innovation clusters at the national, regional, and industrial level. In Korea, the cluster policy has been introduced and employed to a national policy as a means of facilitating a regional innovation for over two decades. This study analyze that the changes of the institutional, physical and social configurations of innovation clusters. In particular, we identified configuration factors which are the growth and development impact factors of individual subjects from the case study of the Daedeok Innopolis. Also, the factors are derived and identified priorities of the configuration factors by using Analytic Hierarchy Process (AHP) method in long term perspective. As a result, we provide the growth of individual innovation subjects, as well as the growth of the cluster caused by the cyclic causality among configuration factors. Also, we can suggest that innovation policy from priorities of configuration factors for innovation cluster which the priorities have lessons for policy implementation and new cluster policy agenda in Korea, in specific, the Daedeok Innopolis.

A Study on the Affecting Factors and Performance of IS Organizational Innovation - Use of the IS Development Methodology as an Object of Innovation - (IS 조직혁신의 영향요인과 성과에 관한 연구 - IS 개발방법론을 혁신 대상으로 -)

  • Chang, Yoon-Hee
    • Asia pacific journal of information systems
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    • v.12 no.3
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    • pp.135-167
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    • 2002
  • This research focuses on the IS development methodology as an object of innovation in an IS organization. It has two main research objectives. It was intended to understand the critical affecting factors which have an effect on the processing of each level in the dynamic and evolving innovation process. There are two levels of innovation process: initiation and implementation. It was also intended to understand the performance of IS organizational innovation. We found three main results by the LISREL analysis. First, main factors affecting initiation level of innovation are innovative tendency of IS members, communication level of IS organization, existence of champion manager, IS performance gap, executive supporting to IS, and relative advantage of IS development methodology. At the implementation level, it was understood that the existence of champion manager, executive support, and relative advantage of IS development methodology were the main factors promoting to use the innovation, and the complexity of innovation was a negative factor adopting the usage of innovation. Second, the quality of the previous level in the gradual innovation activities gives very notable affection to the continuous next level. Finally, it was found that the qualitative performance like the documentation, collaborative team approach, IS developer's awareness and ability corresponding to their task and so on was improved due to the IS organizational innovation. This research provides the standard framework for the IS organizational innovation in a structural way. In the practical aspect, it may be used as the principle for introducing and using the IS development methodology.

A Case Study of the Hindrance Factors of Open Innovation in Korean Large-Scale Companies Focused on WFGM Model (국내 대기업의 개방형 혁신 저해요인에 대한 WFGM 관점 분석 사례)

  • Cho, Yo-Han;Ryu, Christopher J.;Lim, Gyoo-Gun;Lee, Dae-Chul
    • Journal of Information Technology Applications and Management
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    • v.19 no.2
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    • pp.249-263
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    • 2012
  • Recently the open innovation is considered as one of the important issues for the survival strategy of a company in the industry. There have been several researches and practices on this topic. However, previous researches are mainly focused on the study of successful cases and some statistical analyses on the relationship between the open innovation and its performance. There are rare researches on the hindrance factors in the practical level. This paper tries to find some hinderance factors for the open innovation in Korean large-scale companies based on the WFGM(Want-Find-Get-Manage) model proposed by Gene Slowinski(2006). Especially this research focused on each processes of open innovation by in-depth interviews for two representative large companies in Korea. From the result of this research we come to know that the critical hindrance factor in the WANT step is the uncertain definition of the necessary technologies for the company. Issues on establishing and maintaining the innovation network are in the FIND step. Technology evaluation, technology introduction channel and technology copying issues are in the GET step. Communication issues, technology feasibility and lack of competition are in the MANAGE step. This paper finds some hindrance factors in each process step of open innovation, which gives some implications for the companies that want to adopt open innovation.

A Study on the Factors Affecting the Implementation Process of Information System Development Methodology (시스템 개발방법론의 구현 프로세스에 미치는 영향요인에 관한 연구)

  • 장윤희;이재범
    • Korean Management Science Review
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    • v.19 no.1
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    • pp.197-224
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    • 2002
  • Our study focuses on the implementation of IS development methodology as the innovation of IS organization. We have two main research objectives. We Intend to understand the critical factors affecting the implementation process of IS methodology. We also intend to deeply analyze the relationship among the implementation processes of methodology. The whole innovation process is divided into detailed four levels tilth dynamic and evolving Point of clew a cognition level, an adoption level, an acceptance level and an usage level. The results of our study are as follows. The main factors affecting initiation level of the IS methodology are the innovativeness of IS members, the existence of champion manager, training, the existence of IS performance gap, executive supports for IS organization, and the relative advantage of IS development methodology At the Implementation level, It is understood that the existence of champion manager executive supports, training and the relative advantage of innovation are the main factors. However, the complexity of Innovation is a megative factor about the quality of accepting and using the methodology In Innovation process. In performing the Innovation process, the Previous level gives very notable affection to the continuous next level. However it's also understood that positive attitude of adoption level does not directly affect the quality of using Innovation. Therefore, IS managers must pay attention to manacle each level of the Innovation Process to successfully accomplish the Implementation of IS methodology.

Impact of Innovation Cluster Activating Factors on Business Performance: Focusing on the SMEs Case of Daedeok Innopolis (혁신클러스터 활성화 요인이 기업의 경영성과에 미치는 영향: 대덕연구개발특구 중소기업을 중심으로)

  • Park, Hwogeun;Bae, Kwanpyo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.4
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    • pp.149-163
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    • 2023
  • The policy of promoting innovation clusters aims to enhance the competitiveness of industries by strengthening the linkages between industry sectors and research sectors in specific regions. In Korea, after the concept of innovation clusters was introduced by the OECD in 1997, Korean government actively pursued policies based on this concept in the fields of industry, region, and science and technology. Previous policies and research on the activation of innovation clusters have tended to focus on the exchange and collaboration among members. However, this study focused on enhancing the competitiveness of industries and regions, in other words, strengthening the competitiveness of companies, which is the fundamental reason for fostering innovative clusters. Accordingly, this study aimed to analyze the impact of factors activating innovation clusters on the business performance of SMEs located in the Daedeok Innopolis. To achieve this, based on the essential concept of innovation clusters such as industrial agglomeration factors, networking factors, innovation generation factors, the study derived factors for activating innovation clusters and verified hypotheses using the survey results of 175 companies. Among the factors activating innovation clusters, industrial agglomeration and innovation generation were found to have a positive impact on the business performance of companies. However, networking factors were analyzed to have no significant influence on the business performance of companies. This study differentiates itself by addressing the factors for activating innovation clusters through empirical analysis, unlike previous case-based studies. Furthermore, considering the difference between intuitive judgments on networking factors in innovation clusters and their actual impact on business performance, the study raised the practical significance of conducting a comprehensive examination from various perspectives, such as the socially and culturally embedded structures in the region, the characteristics of specialized industries, and the needs of cluster members, to develop more effective policies for innovation clusters.

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An Empirical Study on the Factors Affecting the Innovation Resistance to Information Technology of Trade According to Adoption Stage - Focused on the e-Marketplace - (무역정보기술(貿易情報技術)의 수용단계별(受容段階別) 혁신저항(革新抵抗)에 관한 연구(硏究) - 무역(貿易) e-Marketplace를 중심(中心)으로 -)

  • Song, Sun-Yok
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.25
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    • pp.211-241
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    • 2005
  • Innovation resistance toward technology products such as e-Marketplace is an important concept in business to business marketing. But most of researches and literatures have not been focused on innovation resistance. Therefore, the objective of this paper is to confirm key factors that effects on the innovation resistance. Additionally this study will be revealed the factors affecting the innovation resistance to information technology of trade according to adopting stage. Based on the past literatures, the innovation resistance of users can be viewed as dependent on two sets of factors came from the study of Innovation Resistance Model(Ram, 1987):perceived innovation(e-Marketplace) characteristics and user(trading company) characteristics. Perceived innovation characteristics consists of relative advantage, compatibility, perceived risk, complexity, inhibitory effect on the adoption of profitable innovation. The user characteristics consist of innovativeness, beliefs and attitude toward existing trade method. And user adoption stage came from the study of Innovation Diffusion(Roger, 1995). To make it simple, this study divides group1(knowledge/persuasion/decision) and group2(implementation/confirmation). In the result of the empirical study, the hypothesis 1, hypothesis 2, hypothesis 4 were supported partially and hypothesis 3 was completely supported.

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Innovation Capacity of Student: A Case Study in Vietnam

  • DO, Anh Duc;PHAM, Nguyen Nguyen Thao;NGUYEN, Thi Minh Phuong;TU, Van Son;NGUYEN, Cam Nhung;NGUYEN, Hai Duong
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.189-199
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    • 2021
  • This study aimed to explore the factors affecting the innovation capacity of students at the National Economics University, Vietnam. Researchers used the innovation capacity model based on six factors, including personality traits, future orientation, creative skills, social interaction, content knowledge, and management skills. The empirical analysis used data from the survey of 303 students at National Economics University, Vietnam, with reliable tools (SPSS 26.0 software). The data were analyzed by testing the reliability of the scales, correlation analysis, and Pearson' Linear Correlation Coefficient, exploratory factor analysis, as well as regression model based on the survey data. The research results identified the following factors affecting innovation capacity of students: management skills, social interaction, and personality traits have the strongest impact on innovation capacity of students; content knowledge has the following strongest effects on innovation capacity of students; and finally the creative skills that affects on innovation capacity of students. There is also a positive relationship between all the factors and innovation capacity of students. The result can serve as useful reference sources for scholars who are interested in the innovation field. It also helps university's managers and policymakers build the appropriate environment to improve innovation capacity of students.

A Model Study on the Effect of Technological Innovation Factors in IT Industry (IT산업의 기술혁신 영향 요인에 대한 모형 연구)

  • Park, Tae-Hoon;Park, Kyung-Hye
    • Journal of Digital Convergence
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    • v.10 no.5
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    • pp.177-183
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    • 2012
  • The technological innovation of IT industry is the competitive tool for them to survive in the environment of an intensive competition. This technological innovation is critical in the survival of firms, but various factors should be considered to embody technological innovation success. This paper aims to identify the determinant factors of the outcome which influence the technological innovation based on the IT industry, and set up a model for measuring technological innovation success with its relevant understanding through the preceding studies. In addition, research with other related research model is to parallel.

Innovation Capabilities and Small and Medium Enterprises' Performance: An Exploratory Study

  • ALI, Hazem;HAO, Yunhong;AIJUAN, Chen
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.959-968
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    • 2020
  • Research underlined that Small and Medium Enterprises' performance is enhanced by different types of innovation capabilities. This research tends to present a comprehensive model to explain the relationship between innovation capabilities and SMEs' financial and operational performance. Specifically, this study tends to achieve three objectives: explores the set of product, process, organizational and marketing innovation capabilities possessed by owners/managers of SMEs and their impact on Chinese manufacturing SMEs' operational and financial performance dimensions, identify the determinants of innovation capabilities, and determine the contextual factors that moderate innovation capabilities and SMEs' performance. This research employed a qualitative research method using in-depth interviews with eight owners/managers of Chinese manufacturing SMEs. Research findings revealed that product and marketing innovation capabilities have a significant impact on SMEs' financial performance while process and organizational innovation capabilities positively influence SMEs' operational performance. The major determinants of innovation capabilities involved availability of sufficient organizational resources, entrepreneurial orientation, knowledge development and external networks. The contextual moderating factors on the relationship between innovation capabilities and SMEs' performance involved internal factors which are: SME size, SMEs' owner/manager work experience, entrepreneurial mindset; and external factors: market dynamism and cooperation strategies. This paper ends by drawing some concluding remarks and proposing future research avenues.

The Effect of Innovation Intermediaries on Firm's Absorptive Capacity : Focusing on Moderating Effect of Innovation Environmental Factors (혁신중개인이 기업의 흡수역량에 미치는 영향 : 혁신환경요인의 조절효과를 중심으로)

  • Lee, Sunje;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
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    • v.21 no.1
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    • pp.354-384
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    • 2018
  • This paper aims at analyzing the effect of the relationship between innovation intermediaries and firms on firms' absorptive capacity from the perspectives of social capital. And it also analyzes how firms' innovation environment influences on their absorptive capacity in this process. For this purpose, we carry out an empirical analysis on 200 firms in the Daedeok Innopolis, which is the representative innovation cluster in Korea. According to this study, firm's absorptive capacity is positively affected by the reliability and frequency of firms' communication with innovation intermediaries. However, the geographic proximity does not have significant influence. Also, the innovation environmental factors play a positive moderating role in the absorptive capacity of firms, and the social factors have a distinct significant influence on it directly. Based on these findings, this paper would make a contribution to recognize the importance of innovation intermediaries in innovation process and their role as preceding factors to firms' absorptive capacity, as well as innovative environment in the innovation process.