• Title/Summary/Keyword: determinants of innovation

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Research Trends and Its Determinants in Mobile Commerce Research (1999-2012)

  • Ko, Chang-Ryong
    • Asian Journal of Innovation and Policy
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    • v.2 no.2
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    • pp.150-172
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    • 2013
  • This paper wanted to find out research trends and its determinants on mobile commerce research reviewing 439 articles from 1999, the starting year of this field to 2012. Our analytical framework has 4 categories such as general, technology, consumer and firm, and 14 sub-categories. The results are as follows: First, studies on mobile commerce can be divided into 5 stages. Second, trends of mobile commerce are closely related to the evolution of mobile technologies such as communication technologies and devices (2G, 3G, 3G+, 4G LTE, LTE-A). Third, this field was led by USA until 2005 and has been led by Taiwan after 2006. Fourth, China, Korea, UK and Canada are also leading countries, all of which have mobile device manufacturers. Research trends of non-manufacturing countries and manufacturing countries are different from each other. In addition, the trends of leading countries are different from each other reflecting each country's business needs.

The Determinants of R&D and Product Innovation Pattern in High-Technology Industry and Low-Technology Industry: A Hurdle Model and Heckman Sample Selection Model Approach (고기술산업과 저기술산업의 제품혁신패턴 및 연구개발 결정요인 분석: Hurdle 모형과 Heckman 표본선택모형을 중심으로)

  • Lee, Yunha;Kang, Seung-Gyu;Park, Jaemin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.76-91
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    • 2019
  • There have been many studies to examine the patterns in innovations reflecting industry-specific characteristics from an evolutionary economics perspective. The purpose of this study is to identify industry-specific differences in product innovation patterns and determinants of innovation performance. For this, Korean manufacturing is classified into high-tech industries and low-tech industries according to technology intensity. It is also pointed out that existing research does not reflect the decision-making process of firms' R&D implementations. In order to solve this problem, this study presents a Heckman sample selection model and a double-hurdle model as alternatives, and analyzes data from 1,637 firms in the 2014 Survey on Technology of SMEs. As a result, it was confirmed that the determinants and patterns of manufacturing in small and medium-size enterprise (SME) product innovation are significantly different between high-tech and low-tech industries. Also, through an extended empirical model, we found that there exist a sample selection bias and a hurdle-like threshold in the decision-making process. In this study, the industry-specific features and patterns of product innovation are examined from a multi-sided perspective, and it is meaningful that the decision-making process for manufacturing SMEs' R&D performance can be better understood.

A Dynamic Panel Analysis of the Determinants of Adoption of Industrial Robots (동적 패널모형을 이용한 산업용 로봇 도입의 결정요인 분석)

  • Jeong, Jin-Hwa;Im, Dong-Geun
    • Journal of Technology Innovation
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    • v.26 no.4
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    • pp.173-198
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    • 2018
  • In this paper, we analyze the determinants of the adoption of industrial robots using the data from 42 countries, and thereby examine the factors underlying the rapid expansion of industrial robots in Korea. To this end, the industrial robot data for the years 2001-2016 were drawn from the World Robotics dataset of the International Federation of Robotics (IFR). The explanatory variables included labor market environment variables and innovation capacity variables extracted from the dataset of the relevant international organizations. For data analysis, the Arellano-Bond dynamic panel analysis was performed to control for the endogeneity problem of some explanatory variables. The empirical results confirmed the exceptionally rapid expansion of industrial robots in Korea as compared to other countries, even when considering the national income level, employment cost, and innovation capacity. This phenomenon could be attributed to both the demand-side and supply-side factors. For one thing, changes in the labor market environment, such as an increase in employment costs, have led to an increase of the corporate demand for industrial robots. For another, the supply-side factors, such as an increase in the capital intensity and innovation capacity of companies, have also contributed to the widespread adoption of industrial robots.

Theoretical review on the determinants of innovation resistance (혁신저항의 결정요인에 관한 이론적 고찰)

  • An, Byeong-Deok;An, Gwan-Yeong
    • Proceedings of the Safety Management and Science Conference
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    • 2012.04a
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    • pp.107-116
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    • 2012
  • While technological development being rapid, competition among companies have been very intensive over the world. To hold their competitive power or make sustainable development, it is very imperative for them to attempt innovation. But almost of all innovations were followed by people's resistance to change, and many innovation appeared to be not successful. The objective of this paper is to review the topic of resistance to change in the related literature, and look at the relationship between innovation resistance and many variables like CEO's personality, employee's personality, organizational culture, and defensive behavior.

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A Literature Review of Performance Determinants of Business Incubator Based on Foreign English Literatures (창업보육 인큐베이터의 성과결정 요인에 관한 문헌연구: 외국 문헌을 중심으로)

  • Lee, Kyoung-Joo;Choi, Jong-In
    • Journal of Technology Innovation
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    • v.19 no.3
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    • pp.115-140
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    • 2011
  • The fact that innovation activities of venture firms and start-ups play crucial role in driving industrial development and economic growth has significantly increased the importance of business incubator and techno-park which promote new businesses creations. This review paper aims at not only generating performance measurement index of business incubators but also categorizing performance determinants in accordance with three different theoretical perspectives of resource-based view, strategy patterns, and social networks. Futhermore, as future direction of research, this paper emphasizes structured research efforts on the critical effects of incubator's governance patterns, external and regional contexts, and analysis of government incubator policy.

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A Study on The Determinants of New Product Development Performance (신제품개발성과에 영향을 미치는 요인연구)

  • Lee, Kwang-Soo;Ree, Min-Ho;Ree, Sang-Bok
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2010.04a
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    • pp.310-320
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    • 2010
  • In this study, factors affecting the development of new products and research about the relevance of the factors based on the research model was configured. Existing research and technology commercialization process of discrimination that occur in the importance of risk management and open innovation company's competitive advantage in new product development and affect the reporter know what the effect is used as a control variable effects. Factor in the development of new products through research and innovation capacity and knowledge management activities, the introduction of open innovation and enterprise level ever due to the level of risk management controls and the need for effective research to study the model was proposed.

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The Determinants of IT Assimilation and Its Effect on Organizational Performance : An Innovation Diffusion Theory Perspective (정보기술동화의 결정요인 및 기업성과에 미치는 영향 : 혁신확산이론의 관점)

  • Kwahk, Kee-Young;Im, So-Yeon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.33 no.1
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    • pp.149-168
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    • 2008
  • Many organizations have introduced information technology (IT) as an innovation to gain competitive advantages as business environments have become increasingly complex and rapidly changing. Despite the large investment of IT, there have been mixed results about whether IT creates business values. Considering that IT assimilation may play an important role in explaining IT productivity paradox, this study examines the formation of IT assimilation and its effect on the organizational performance. To do so, this study suggests a research model based on Innovation Diffusion Theory by incorporating organization system, communication channel, change acceptability, and innovation factors, and then attempts to empirically explore the role of IT assimilation for enhanced organizational performance using data collected at the organizational level. Structural equation analysis using AMOS provides significant support for part of proposed relationships. Specifically, we have found encouraging results on the role of IT assimilation by identifying its mediating effect on the organizational performance. Theoretical and practical implications of the findings are discussed accordingly.

Decision Criteria and Affecting Factors in Information Technology Adoption - Innovation Characteristics and Critical Mass Perspective - (정보기술 도입 결정기준 및 영향 요인 - 혁신특성과 핵심집단 관점 -)

  • Park, J.-Hun
    • Asia pacific journal of information systems
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    • v.9 no.4
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    • pp.125-142
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    • 1999
  • The increased investment in technological innovations makes the investigation of factors affecting technology adoption more interesting. Several perspectives have been proposed to explain the determinants of information technology adoption. While the traditional innovation diffusion research streams try to explain and predict adoption behavior with the adopter's perceptions about the characteristics of the innovation itself, critical mass theorists argue that adoption behavior as a collective action is based on what their business partners are doing and whether there exists enough critical mass to justify the investment. Drawing on theses two perspectives, this study investigates the decision criteria in the adoption of information technology as innovation and factors affecting the decision criteria. The survey results reveal that the adoption behavior is affected both by innovation characteristics and by critical mass's activity. Correlation analysis, t-test, and stepwise regression models also show that as the environmental uncertainty is getting higher, adoption decision is affected more by what others are doing, and that highly competitive organizations seem to play the role of critical mass.

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What Determines the Openness of Korean Manufacturing Firms to External Knowledge? (한국 제조 기업들의 외부지식 활용 결정요인 연구)

  • Moon, Seong-Wuk
    • Journal of Korea Technology Innovation Society
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    • v.14 no.3
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    • pp.405-430
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    • 2011
  • I examine what factors influence a firm's openness to external sources of knowledge in the Korean manufacturing sector. Related literature suggests a firm's appropriability strategy, absorptive capacity, technology entrepreneurship, firm size and industry-level technological opportunities as possible determinants. Using Korean Manufacturing Innovation Survey, I test how these factors influence the degree of openness of Korean manufacturing firm. I find the followings: First, when the appropriability strategy becomes tighter, a firm becomes more open to external sources. Second, when the share of highly educated employees increases, a firm becomes more open. Third, when a firm is a technology entrepreneur, the openness increases. Fourth, a large firm is likely to be more open. Lastly, ample technological opportunities increase the openness. In Korean manufacturing industries, the highly educated employees and technology entrepreneurship are more influential factors for a firm's openness.

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정보통신기술의 확산과 결정요인

  • 서환주;안정화
    • Journal of Technology Innovation
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    • v.9 no.2
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    • pp.56-76
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    • 2001
  • The main purpose of this study is to analyse the digital divide and th determinants of ICT diffusion rate in Korean industries. We estimate the ICT diffusion function using the pooling data for this analysis. The results are as follows. First, the ICT capital accumulated in machinery & equipment, electrical machinery and construction industry is estimated to be 83% of total In capital stock in the 90s. Second, using the panel analysis, we find positive correlation among ICT diffusion, network effect and accumulation of human capital, which is more prominent in the service sector. Third, the estimation results show that the additional 1% increase of human capital accumulation will allow to increase the 0.69% of ICT capital intensity in Korean industries.

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