Objective: Minerals are one of the important nutrients for supporting the growth of sheep grazing in the highland, northwest of China. The experiment was conducted to investigate the relationship of both macro and micro minerals in sheep grazing in the highlands of six districts located in the Qilian Mountain of China. Methods: Samples of herbage (n = 240) and soil (n = 240) were collected at random in a "W" shape across the area designated for harvesting from 24 farms, where the sheep commonly graze in October (winter) for mineral analyses. In addition, serum samples were taken via jugular vein from 20 sheep per farm from 24 farms (n = 480 samples in total) for serum minerals analyses. Mean values of macro and micro minerals were statistically compared among districts and the correlations among soil-plant-animal were statistically analyzed and correlations were regressed, as well. Results: The results revealed that there were variations for both macro and micro minerals among districts. Statistical analysis of the correlation coefficients between herbage and sheep were significantly different for most of the minerals but not for P, Cu, and Se. Many correlation regression coefficients were found significantly different among minerals of herbage, soil, and sheep serum especially those of K, Na, Fe, Mn, and Zn (between herbage and sheep serum), and Fe and Mn (between herbage and soil), Na, Fe, Mn, and Zn (between soil and sheep serum), respectively. The regression coefficient equations derived under this experiment for prediction of Ca (R2 = 0.618), K (R2 = 0.803), Mg (R2 = 0.767), Na (R2 = 0.670), Fe (R2 = 0.865),Zn (R2 = 0.950), Mn (R2 = 0.936), and Se (R2 = 0.630), resulted in significant R2 values. Conclusion: It is inferred that the winter herbage minerals in all the districts were below the recommended levels for macro minerals which indicated there would be some mineral deficiencies in sheep grazing the herbage in these regions. Supplemental minerals may therefore play an important role in balancing the minerals available from the herbage in winter and would lead to increased productivity in sheep on the highland areas of China. These findings could be potentially applied to the other regions for improving the livestock productivity.
Journal of the Korea Academia-Industrial cooperation Society
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v.15
no.7
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pp.4148-4156
/
2014
The aim of this paper was to suggest a national R&D performance measurement index from a new perspective. Government is trying to transit the R&D paradigm from 'catch-up' into 'lead- forward'. The problem of the existing performance evaluation was first identified, and the performance evaluation method of domestic & overseas research center & government was then reviewed. In particular, this study first referred to the creation & innovation indices, and focused on the national innovation and R&D ecosystem. Next, D'Aveni's Hypercompetition theory was applied to suggest a new performance measurement index, and AHP analysis interviewed from the domestic R&D performance evaluation experts was performed. This study contributes to the new national R&D performance index for the creative economy.
Service R&D that adds high value to existing products and service by scientification, IT convergence, intellectualization is a core business of creative economy. It is necessary to examine the service R&D revitalization plan by establishing service R&D hub researching the service R&D because a shortage of facility and infrastructure makes impossible to turn ideas into products (service). This research aims at establishing the implementation plan of service R&D hub that invigorates local service industries and contributes to carry out the plan. Service R&D hub is a focal point of service R&D activities which inter-connects service R&D activities distributed across ministries of central government and fields of studies, and which invigorates service R&D activities and enhances competitive power of service industries in Korea. It is necessary to establish main hub like Service Engineering Research Center in Japan and Fraunhofer IAO in Germany which take the lead in national service R&D activities, and make it build the solid foundation of service R&D activities in public sector and also create service innovation ecosystem. Considering the interdisciplinary characters of service R&D, it is essential to establish additional sub-hubs to meet a variety of demands of service R&D. It is also necessary to establish 'Living Lab', an open innovation system, which connects research institutions, universities, and corporates to make them target the specific fields of their own, and enhance open R&D and innovation in service industries.
Regarding a long-term strategic plan in the food and agriculture sector, R&D policies and investment trends in major overseas countries are reviewel. The importance of efficient resource management is emphasized along with continuous government support for R&D in the agri-food industry. In response to facing social issues such as climate change, food security, food safety, health, and environment, research and innovation agenda is mainly focused on harmony between economy and environment, human nutrition and health as well as animal and plant health, and an integrated ecosystem approach. Particularly in the food sector, public investment is generally made in food safety, nutrition and health, and private investment for food processing and manufacturing. Public-private collaboration is carried out in order to enhance the efficiency of R&D innovation and development strategies in the agri-food industry.
Journal of the Economic Geographical Society of Korea
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v.25
no.3
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pp.339-356
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2022
This study focuses on Hokkaido University Research & Business Park in Japan as an example of establishing a regional innovation ecosystem on campus based on the outstanding research and university-industry collaboration capabilities of local universities in non-metropolitan areas with weak foundations for start-ups and corporate growth. Hokkaido University Research & Business Park established a mid-to long-term plan using the idle sites on campus, and was developed through a gradual development process since 2003. The promotion of university-industry collaboration was pursued through an industrial-based approach of establishing a bio-industry cluster considering the characterization of local universities and the foundation of local industries. It also provides various corporate support services through cooperative governance between local industry, universities, research institutes and the government. This strategy for creating Hokkaido University Research & Business Park provides important policy implications for various policies and projects that promote regional development by utilizing university campuses like the campus innovation park project.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.3
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pp.105-119
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2021
The innovation cluster is formed by cooperation and networking among a number of actors, including companies, universities, research institutes, government and other supporting organizations, but the main subject of innovation in the venture ecosystem, which can be said to be the core of the innovation cluster, is the enterprise. Therefore, enterprises in innovation cluster can be seen as a major user of the innovation cluster policy. In order for the policy to be executed smoothly, policy acceptance is important. However, existing research on policy prioritization tends to be centered on policy providers, so it is necessary to check them from the perspective of policy users. Accordingly, this study conducted discussions from a two-way perspective to establish the correct policy direction through a balanced perspective between a policy provider-centered top-down perspective and a policy user's bottom-up perspective. First, the factors for activating the innovation cluster (three factors in the first level and 14 factors in the second level) were derived through prior research and expert interviews. After that, the importance of the factors for activating the innovation cluster was analyzed using AHP (Analytic Hierarchy Process) for the policy provider group and the user group in the Daedeok Innopolis, a representative case of innovation cluster policy. As a result of analyzing the importance of the innovation cluster activation factors from the perspectives of policy providers and users, some similarities were also seen, but overall differences in mutual perception were found. It was found that the policy provider group focused on innovation creation factors, while the policy user group viewed innovation creation, clusters, and industrial location factors from a more balanced perspective. This study is meaningful in that it deals with both perspectives in a balanced way by expanding the targets from the existing policy provider-centered research to policy users. In addition, practical contributions exist in the aspect of providing basic data so that policies can be carried out based on corporate needs in fostering innovation clusters.
As the 4th industrial revolution progresses, foreign countries are promoting smart manufacturing innovation through digital transformation as a priority task early on to secure a competitive edge in the manufacturing industry. In response, the Korean government is also promoting a policy to enhance the competitiveness of small and medium-sized manufacturing companies by promoting digital transformation in the corporate sector to meet the global trend of the 4th industrial revolution era. Manufacturing powerhouses such as Germany and Japan see manufacturing as a key sector in digital transformation and are leading related policies, while emerging countries such as China are also promoting manufacturing innovation strategies such as building digital infrastructure and creating a digital innovation ecosystem. Korea is promoting the 'Korean-style smart factory dissemination and expansion strategy' by transforming Germany's manufacturing innovation strategy for smart factory supply to suit the domestic situation. However, the policy to supply smart factories so far has been conducted with support from individual companies under the leadership of the government, and most of the smart factories are at the basic level, and it is evaluated that there are limitations such as the lack of manpower to operate smart factories. In addition, while the current policy focuses on expanding the supply of smart factories in SMEs, it is necessary to establish a smart manufacturing system through linkages between large and small businesses in order to achieve the original goal of establishing a smart manufacturing system. Therefore, it can be said that from the standpoint of small and medium-sized enterprises (SMEs), who are consumers of smart factories, it can be said that the digital transformation policy can achieve the expected results only when appropriate incentives are provided for the introduction of smart factories in a situation where management resources such as funds, technology, and human resources are lacking. In addition, it is judged that the uncertainty of the performance of digital investment always exists, and as long as large and small companies are maintained as an ecosystem of delivery and subcontracting, there is very little incentive for small and medium-sized manufacturing companies to voluntarily invest in or advance digital transformation. Therefore, the digital transformation policy of small and medium-sized manufacturing companies in the future has practical significance in that it suggests that there is a need to seek ways to attract SMEs' digital-related voluntary investment.
Shedding new light on the research trend on entrepreneurial ecosystems in the 40-year history of the Asia Pacific Journal of Small Business, this study aims at exploring a potential measurement framework of ecological inputs and outputs in an entrepreneurial ecosystem that promotes entrepreneurship at geographical and spatial levels. As a result of the analysis of research on the entrepreneurial ecosystem in the journal, we found that prior studies emphasized the managerial importance of various ecological factors on the premise of possible causalities between the factors and entrepreneurship. However, empirical research to verify the premised causality has been underexplored yet. This literature gap may lead to unbalanced development of conceptual and case studies that identify requirements for successful entrepreneurial ecosystems based on experiential facts, thereby hindering the generalization of the research results for practical implications. In that there is a growing interest in creating and operating productive entrepreneurial ecosystems as an innovation engine that drives national and regional economic growth, it is necessary to explore and develop the measurement framework for ecological factors that can be used in future empirical research. Hereupon, we apply a conceptual model of 'input-output-outcome-impact' to categorize individual environmental factors identified in prior studies. Based on the model. We operationalize ecological input factors as the financial, intellectual, institutional, and social capitals, and ecological output factors as the establishment-based, innovation-based, and performance-based entrepreneurship. Also, we propose several longitudinal databases that future empirical research can use in analyzing the potential causality between the ecological input and output factors. The proposed framework of entrepreneurial ecosystems, which focuses on measuring ecological input and output factors, has a high application value for future research that analyzes the causality.
Kim, Yong Jin;Kim, Ki-Chan;Song, Chang Seok;Kang, Myung Soo
The Journal of Small Business Innovation
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v.20
no.4
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pp.3-10
/
2018
With the advancement in digital transformation with smart technologies and the collapse of industry borders, increasing is the importance of understanding customer problems, fostering employee capabilities, and enhancing the partner capabilities to properly provide the best service to customers. This is what is called the humane entrepreneurship in the 4th Industrial Revolution. Humane entrepreneurship is believed to play a critical role in developing business ecosystems and thus economic growth of nations. We empirically tested the ideas that 1) entrepreneurship as a meta-structuring action shape the healthiness of business ecosystem and 2) subsequently both entrepreneurship and business ecosystems affect economic development of a country. The results indicate that humane entrepreneurship does not directly affect healthiness of business ecosystem, but the balanced humane entrepreneurship together with opportunity in business ecosystems has a positive relationship with GDP growth. In other words, opportunity can be appropriated by entrepreneurs who have balanced sense between human and enterprise dimension. Data collection and methodologies are discussed further in the paper.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.6
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pp.1-26
/
2020
The term 'Unicorns' in the corporate ecosystem was firstly introduced by Aileen Lee in 2013. It has been actively discussed in South Korea particularly to compare the level of the 'start-up ecosystem' from a global perspective. Accordingly, the Korean government has recently set a policy goal 'to nurture 20 Korean unicorn companies by 2022'. While the phenomenon of 'Unicorn Club Company' has been brought to the level of policy objectives and spread more widely to the public, existing academic research to understand its substantial and underlying implications has been insufficient. First, in this study, the characteristics of 479 'Unicorn Club' companies in 2019 were analyzed in-depth. Previous research has focused on the general status and trend by analyzing the number of unicorn companies by country and industry classifications. However, this study conducted a qualitative exploratory analysis by investigating descriptive statistics about unicorn companies, including their investors, while providing case studies. Also, cluster analysis, ANOVA, and multi-level regression were employed for quantitative exploration. The characteristics of individual companies were examined based on the "ERIS Model (Entrepreneur - Industry(Market) - Resource - Strategy Model)". Secondly, factors influencing its valuations were examined in connection with the previously analyzed characteristic variables and investor characteristics. Finally, based on these, the future direction of the "Unicorn Phenomenon" from the perspective of "Enterprise Ecosystem" and productively using it from the perspective of the public policy is suggested.
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