• Title/Summary/Keyword: Technological Innovation Management Factors

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Organizing knowledge ecosystems: The influence of organizational capabilities of platform leaders on multi-firm collaborations for knowledge creation (지식생태계의 조직화: 플랫폼 리더의 조직역량이 지식창출을 위한 기업간 협력의 확장에 미치는 영향)

  • Jung, Dongil;Park, Sangchan;Kim, Bokyung
    • Knowledge Management Research
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    • v.16 no.2
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    • pp.1-27
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    • 2015
  • This paper presents a knowledge-based view of platform-centered collaborations among multiple organizations. Studies of technological innovation and knowledge creation have broadened beyond their initial emphasis on internal development within an organization or simple exchange of ideas between two parties toward complex collaboration among many organizations at the level of platform-based knowledge ecosystems. Platforms serve as an interface between different groups of producers and consumers in a variety of multi-sided knowledge markets such as smartphone operating systems and video games industries. This study is an exploratory examination to offer theoretical understanding of how the organizational capabilities of platform leaders help expand a network of platform participants. The growth of platform participants is particularly important in the early stage of any platforms as the concept of network effects suggests that the platform with the largest number of participants will capture entire markets. Building upon organization studies and network economics theory on multisided markets, this paper focuses on the role of platform leaders in expanding platform-based collaboration. In our view, platform leaders develop varying levels of three organizational capabilities to discern quality of potential participants, to attract them to actually participate in collaboration, and to maintain long-term exchange relations in the ecosystem. We suggest that the capabilities of platform leaders will have a positive effect on the expansion of platform participants to secure network effects, and also examine several contextual factors that moderate the relationship between a platform leader's capacity and platform expansion.

An Analysis on the Core Competence Through the VRIO Model of CJ CGV (CJ CGV의 VRIO 모델을 통한 핵심역량분석)

  • Kim, En-A
    • Journal of Korea Entertainment Industry Association
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    • v.13 no.3
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    • pp.333-342
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    • 2019
  • The purpose of this study is to compare and analyze the cases of the multiplex cinema industry of CJ CGV, Lotte Cinema and Megabox to study what CJ CGV's innovative core competence is from a management strategy perspective. Through this, the core competence strategies, Value, Rareness, Inimitability, and Organization(VRIO) were analyzed in order to derive from the major success factors based on the expansion process of Cultureplex. According to the analysis results, CJ CGV's differentiated value roots from Cultureplex, which CJ CGV priorities in creating movie theaters a cultural entertainment hub. The ability of CJ CGV in transforming the cinema into a cultural and living playground through technological innovation is it's cutting edge from its competitors under the rareness factor. A CJ CGV attains its inimitability by establishing social brand power as an inclusive social contribution. An organization of CJ CGV is a globalization worldwide. CJ CGV is to increase the brand value of cultural experience movie theaters and enhance customer satisfaction by expanding the use of existing movie theaters and pioneering with innovative development to theaters. As more to be sought out from this thesis, CJ CGV has steadily increased its competitive edge, raising its core competence of business value.

The Effect of Personality Types of Work-Learning Dual Program Workers on Training Achievement (일학습병행 학습근로자의 성격유형이 훈련성취도에 미치는영향)

  • Su-Jin Han;Soo-Yong Park;Dong-Hyung Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.47 no.2
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    • pp.107-115
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    • 2024
  • With the advent of the 4th Industrial Revolution, changes in the market environment and employment environment are accelerating due to smart technological innovation, and securing professional manpower and developing human resources for domestic small and medium-sized enterprises is becoming very important. Recently, most of the domestic small and medium-sized enterprises are experiencing hiring difficulties, and the development and training of human resources to overcome this is still lacking in systemization, despite much support from the government. This reflects the reality that it is not easy to invest training costs and time to adapt new employees to small and medium-sized businesses. Based on these problems, the work-study parallel project was introduced to cultivate practical talent in small and medium-sized businesses. Work-study parallel training is carried out in the form of mentoring between corporate field teachers and learning workers in actual workplaces, and even if the training is the same, there are differences depending on the learner's attitude, learning motivation, and training achievement. Ego state is a theory that can identify personality types and has the advantage of being able to understand and acknowledge oneself and others and intentionally improve positive factors to induce optimized interpersonal relationships. Accordingly, the purpose of this study is to analyze the attitudes of learning workers, who are the actual subjects for improving the performance of work-study parallel projects and establishing a stable settlement within the company, based on their ego status. Through this study, we aim to understand the impact of the personality type of learning workers on training performance and to suggest ways to improve training performance through work-study parallelism.

The Effects of Entrepreneur's Competence and Technology Commercialization Capabilities on Business Performance of Technology-based Start-ups (기술창업기업의 기업가 역량과 기술사업화 능력이 경영성과에 미치는 영향)

  • Yang, Soo-Hee;Kim, Myung-Seuk;Jung, Hwa-Young
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.6 no.4
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    • pp.195-213
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    • 2011
  • The purpose of this study is to investigate the factors that determine the performance of technological start-ups from resource-based view of firm. This study analyzed the correlation among the entrepreneur's competence, technology commercialization capabilities and business performance. This study is designed to examine (1)the effect of entrepreneur's competence, technology commercialization capabilities on business performance; and (2) the causal relationships and the mediator effects among the latent variables and business performance. Data for the study was compiled through surveys on entrepreneurs representing 125 technological start-ups. Empirical results of the hypothesis testing are summarized as follows : The results indicate that both two variable groups have positively influenced the outcome of business performance. Especially strategic competence was highly related to commercialization capabilities and business performance. The technology commercialization capabilities as a parameter had a significant influence on business performance.

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Prediction of patent lifespan and analysis of influencing factors using machine learning (기계학습을 활용한 특허수명 예측 및 영향요인 분석)

  • Kim, Yongwoo;Kim, Min Gu;Kim, Young-Min
    • Journal of Intelligence and Information Systems
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    • v.28 no.2
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    • pp.147-170
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    • 2022
  • Although the number of patent which is one of the core outputs of technological innovation continues to increase, the number of low-value patents also hugely increased. Therefore, efficient evaluation of patents has become important. Estimation of patent lifespan which represents private value of a patent, has been studied for a long time, but in most cases it relied on a linear model. Even if machine learning methods were used, interpretation or explanation of the relationship between explanatory variables and patent lifespan was insufficient. In this study, patent lifespan (number of renewals) is predicted based on the idea that patent lifespan represents the value of the patent. For the research, 4,033,414 patents applied between 1996 and 2017 and finally granted were collected from USPTO (US Patent and Trademark Office). To predict the patent lifespan, we use variables that can reflect the characteristics of the patent, the patent owner's characteristics, and the inventor's characteristics. We build four different models (Ridge Regression, Random Forest, Feed Forward Neural Network, Gradient Boosting Models) and perform hyperparameter tuning through 5-fold Cross Validation. Then, the performance of the generated models are evaluated, and the relative importance of predictors is also presented. In addition, based on the Gradient Boosting Model which have excellent performance, Accumulated Local Effects Plot is presented to visualize the relationship between predictors and patent lifespan. Finally, we apply Kernal SHAP (SHapley Additive exPlanations) to present the evaluation reason of individual patents, and discuss applicability to the patent evaluation system. This study has academic significance in that it cumulatively contributes to the existing patent life estimation research and supplements the limitations of existing patent life estimation studies based on linearity. It is academically meaningful that this study contributes cumulatively to the existing studies which estimate patent lifespan, and that it supplements the limitations of linear models. Also, it is practically meaningful to suggest a method for deriving the evaluation basis for individual patent value and examine the applicability to patent evaluation systems.

Type and Dependency of R&D Cooperation Partners and Innovation Performance: An Empirical Study with Korean Venture Firms (R&D 협력 파트너 유형 및 의존도와 혁신의 성과: 한국 벤처기업들을 대상으로 한 실증연구)

  • Kim, Nami;Kim, Eonsoo
    • The Journal of Small Business Innovation
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    • v.19 no.4
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    • pp.1-17
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    • 2016
  • The purpose of this study is to suggest an efficient way for ventures to achieve innovation performance through R&D cooperative arrangements. Achieving innovation is one of the critical factors for the survival of ventures. Unlike established firms, ventures often do not have the specialized assets necessary to take technological developments to the product and market stages. Young and resource-constrained firms can achieve innovation by finding and accessing to the complementary resources from R&D cooperation. In the current business environment, many firms are likely to engage in multiple simultaneous R&D cooperations with different partners. Recent research stream addresses the importance of efficient cooperation management from the holistic portfolio perspective. Since maintaining the multiple cooperative relations require substantial amount of time and effort, managing cooperative relationships play a more important role to resource-constrained firms. In order to find an efficient composition of R&D cooperative partners, we mainly focus on the diversity of partner type and dependence level in partnership. We analyze the data on Korean manufacturing ventures collected in the Korean Innovation Survey (KIS) which was conducted by the Science and Technology Policy Institute (STEPI). The KIS questionnaire assesses the existence of cooperative relationships with different types of partners respectively. The types of cooperating partners are affiliated companies, suppliers, clients & customers, competitors or other firms in the same industry, consulting firms, universities, and research institutes. We confirm that ventures obtain relatively higher benefits from R&D cooperation compared with established firms in terms of innovation performance. The results show that a moderate level of diversity in cooperative partner type composition increases innovation. Moreover, diversity of cooperation dependency among the partners enhances innovation performance. Likewise, concentrating on the quality aspects of cooperative composition, such as diversity of partners and degree of dependencies, this study offers some implications for ventures in managing partners from an integrative perspective.

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Patent Valuation for Fair Royalty Distribution in Patent Pool (특허풀에서의 공평한 로열티 분배를 위한 특허가치평가)

  • Kim, Young-Ki;Park, Seong-Taek;Lee, Seung-Jun
    • Journal of Digital Convergence
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    • v.8 no.1
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    • pp.41-53
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    • 2010
  • In this paper, we discuss patent pool and a patent valuation scheme for fair royalty distribution among the patents in a pool. In the knowledge-based economy, intellectual capital-the accumulation of technology and know-how-is recognized as the most important source of company's competitive advantage and economic growth. By providing exclusive rights to patent holders, the patent system aims to encourage innovation-invention & commercialization of new technologies-in order to raise the standard of living. However, drawbacks of patent system, which occur as the number of patents issued increases rapidly and patent ownership is fragmented, may slow down the innovation efforts seriously. A promising solution is the patent pool approach, which was for instance employed by the U.S. congress during World War I to free the airplane manufacturers from the patent tangle by letting them license all the patents for a fee. It is necessary to figure out relative technological contribution of patent for fair distribution of royalty revenues among patent holders. The Rating/Ranking Method seems to fit to that valuation purpose. We examined technology valuation models from various organizations and selected a set of more influential valuation factors which can be incorporated as scoring criteria in the Rating/Ranking Method.

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How Market Reacts on the Metaverse Initiatives? An Event Study (메타버스 투자 추진이 기업 가치에 미치는 영향 분석: 이벤트 연구 방법론)

  • Mina Baek;Jeongha Kim;Dongwon Lee
    • Information Systems Review
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    • v.25 no.4
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    • pp.183-204
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    • 2023
  • Due to the COVID-19 pandemic, lots of occasions need to be held in online environment. This is the reason why "Metaverse" gets lots of attention in 2021. A number of companies made announcements on Metaverse, and this situation also boomed stock market. This paper investigates the relationship between Metaverse initiatives and business value of the firm (i.e., stock prices). We examine this relationship by using event study method with Lexis-Nexis News data from 2019 to 2021. The results indicate that Metaverse initiatives significantly impact positive influence on firm's value. In the technological perspective, technical factors affect more positive market returns, including Metaverse enablers (e.g., NFT, VR devices, digital twin) and common infrastructure (e.g., semiconductor, AI, cloud), and especially virtual environment was emphasized. Additionally, in the strategical perspective, radical innovation (e.g., pivoting, acquisition) impact more positive market return rather than incremental innovation (e.g., partnership, investment). Also, firms from non-service industries can achieve benefits from Metaverse initiatives rather than service industry in some degree.

A Study about Impact of Mindfulness on Perceived Factors of Information Technology Acceptance (마음챙김이 정보기술 수용의 인지적 요인에 미치는 영향 연구)

  • Hyun Mo Kim;Ying Ying Pang;Joo Seok Park
    • Information Systems Review
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    • v.21 no.1
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    • pp.1-22
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    • 2019
  • Mindfulness is the process of actively noticing new things. Today, companies have introduced and run mindfulness programs because the mindfulness has possible applications of productivity and innovation in corporation. However, role of mindfulness has not been clearly investigated in behavior research of Information System. The purpose of this study is to confirm the effects of mindfulness on technology acceptance process. Based on UTAUT Model, we examined how mindfulness in technology acceptance process moderate antecedent factors of acceptance intentions and use behavior. For empirical research, we conducted a survey on acceptance of smart watch of internet of things for employees of companies applying the mindfulness programs. then, we analyzed survey sample in empirical methodologies. Based on the empirical analysis, cognizance of alternative technologies in mindfulness factors increased the impact of performance expectancy on acceptance intention. Novelty seeking in mindfulness factors increased the impact of effort expectancy on acceptance intention. Awareness of local context in mindfulness factors decreased the impact of social influence on acceptance intention. engagement with technology in mindfulness factors increased the impact of facilitating conditions on use behavior. This study suggests academic implications and practical implications based on the results of the research. The implications will help to support and extend the theory of technology acceptance model while providing practical insights for IT acceptance by suggesting ways to utilize mindfulness in corporation.

A Comparative Study on the Determinants Priority of the Royalty in National R&D Project: Focused on the Case of 'N' Center's Technology Transfer (국책 연구 성과의 유상 기술이전 시 기술공급 기관과 기술도입 기업 간 기술료 결정요인 비교에 관한 연구 : N 사업단에 참여한 대학과 중소기업 사례를 중심으로)

  • Baek, Jong-il;Hyun, Byung-hwan
    • Journal of Korea Technology Innovation Society
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    • v.20 no.2
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    • pp.430-457
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    • 2017
  • The purpose of this study is to present meaningful information and policy implications concerning the determinants of royalties of technology transfer to stakeholder. To identify key determinants of royalties in technology transfer, this study conducted AHP survey analysis (Survey period: 01/09~31/10, 2016) of 96 government-funded research centers and 85 companies which were participants of the R&D project "Next Generation BioGreen21" of R.D.A in the "N" center from 2011 to 2015. Research results show that both parties acknowledge 'Technical considerations for determining the profitability of the technologies' and 'The interest and willingness of the management group' as critical factors for the determinants of royalties. The difference of each party is that private companies acknowledge 'Available budget plan' as a critical factor while the government-funded research centers value 'Market competitiveness'. These findings suggest four main policy implications which are the investigation of technological demands reflecting specific needs of industrial sites, the diversification of royalty payments for private companies, the differentiated research evaluation system for the purpose of technology transfer and the planning of public R&D project reflecting research time span of private companies.