• Title/Summary/Keyword: Commercialization of technology

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Flora and Life Form of Habitats for Nannophya pygmaea Rambur (꼬마잠자리 서식지의 식물상과 생활형)

  • Kim, Myung-Hyun;Han, Min-Su;Choi, Chul-Mann;Pang, Hye-Sun;Jung, Myung-Pyo;Na, Young-Eun;Kang, Kee-Kyung
    • Korean Journal of Environmental Agriculture
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    • v.29 no.2
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    • pp.206-213
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    • 2010
  • The aim of this study was to provide basic informations for restoring a habitat of Nannophy pygmaea Rambur. Environments and flora of the habitats were investigated in Youngdong, Sanbuk, and Nongam South Korea. The habitats were abandoned paddy fields with tree-unshaded space and with the water depths of about 2 - 10 cm all the year round. The water quality was recorded 5.44 - 7.33 in pH, 0.017 - 0.480 dS/m in EC, 1.34 - 4.94 mg/L in T-N and 0.06 - 0.46 mg/L in T-P. The pH and EC showed a wide range values, and T-N and T-P showed a high values comparatively. This result implies that a water quality does not important as the condition for a habitat of the species. A total of 86 vascular plant taxa belonging to 35 families, 60 genera, 67 species, 2 subspecies, 14 varieties and 3 forma were recognized in the habitats. Twenty two species (25.6%) overlapped among the habitats; Equisetum arvense, Salix koreensis, Persicaria thunbergii, Stellaria alsine var. undulata, Hypericum laxum, Kummerowia striata, Epilobium pyrricholophum, Oenanthe javanica, Mosla dianthera, Utricularia vulgaris var. japonica, Plantago asiatica, Eupatorium lindleyanum, Juncus diastrophanthus, J. effusus var. decipiens, J. papillosus, Aneilema keisak, Alopecurus aequalis, Arthraxon hispidus, Carex dickinsii, Cyperus sanguinolentus, Eleocharis acicularis for. longiseta and E. congesta. Biological type was determined to be HH-R5-D4-e(t) type; HH 39 taxa (45.3%), R5 42 taxa (48.8%), D4 59 taxa (68.6%) and e (or t) 23 taxa (26.7%).

A Study on the Importance and Priorities of the Investment Determinants of Startup Accelerators (스타트업 액셀러레이터 투자결정요인의 중요도 및 우선순위에 대한 연구)

  • Heo, Joo-yeun
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.6
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    • pp.27-42
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    • 2020
  • Startup accelerators have emerged as new investment entities that help early startups, which are not easy to survive continuously due to lack of funds, commercialization capabilities, and experiences. As their positive performance on early startups and the ecosystem has been proven, the number of early startups which want to receive their investment is also increasing. However, they are vaguely preparing to attract accelerators' investment because they do not have any information on what factors the accelerators consider important. In addition, researches on startup accelerators are also at an early level, so there are no remarkable prior studies on factors that decide on investment. Therefore, this study aims to help startups prepare for investment attraction by looking at what factors are important for accelerators to invest, and to provide meaningful implications to academia. In the preceding study, we derived five upper level categories, 26 lower level accelerators' investment determinants through the qualitative meta-synthesis method, secondary data analysis, observation on US accelerators and in-depth interviews. In this study, we want to derive important implications by deriving priorities of the accelerators' investment determinants. Therefore, we used AHP that are evaluated as the suitable methodology for deriving importance and priority. The analysis results show that accelerators value market-related factors most. This means that startups that are subject to investment by accelerators are early-stage startups, and many companies have not fully developed their products or services. Therefore, market-related factors that can be evaluated objectively seem to be more important than products (or services) that are still ambiguous. Next, it was found that the factors related to the internal workforce of startups are more important. Since accelerators want to develop their businesses together with start-ups and team members through mentoring, ease of collaboration with them is very important, which seems to be important. The overall priority analysis results of the 26 investment determinants show that 'customer needs' and 'founders and team members' understanding of customers and markets' (0.62) are important and high priority factors. The results also show that startup accelerators consider the customer-centered perspective very important. And among the factors related to startups, the most prominent factor was the founder's openness and execution ability. Therefore, it can be confirmed that accelerators consider the ease of collaboration with these startups very important.

Theoretical Study on Modeling Success Factors of Overseas Agricultural Startups (해외 농업스타트업 성공요인 모델링에 관한 이론적 고찰)

  • Jinhwan, Park;Sangsoon, Kim
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.1
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    • pp.85-106
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    • 2023
  • This study reviewed and derived the success factors of overseas agricultural startups and studied their integrated research model. Agricultural startups and general startups have in common that poor resources and infrastructure exist from a resource-based perspective after startup, but a differentiated approach from general startups is required due to the nature of the primary industry of agriculture. In this study, we approach the company internal factors (human resources/vision/distribution network capacity/capital capacity/cultivated crops/physical resources/farming technology, etc.) and external factors (agricultural infrastructure/laws/regulations/relationship with surrounding society, etc.) We tried to build a research model that can be integrated by focusing on various existing research models, success factors, and entrepreneurship. Through this, it is intended to present an integrated model that is practically helpful to business performance to entrepreneurs, business-related persons, and researchers who need an integrated understanding of agricultural startups at home and abroad. made for purpose In this paper, a standard model was established through three types (existing agricultural startup, small and medium-sized business startup, multinational company, and comprehensive approach) according to size and characteristics for modeling agricultural startup success factors. Through this, a total of 9 success factors (agricultural management, external environment, manager/founder characteristics, corporate identity, business management, organizational culture, infrastructure, commercialization capability, and sustainable growth) were derived. The implication of this study is that the success factors of agricultural startups were comprehensively presented based on 'entrepreneurship' for various domestic and foreign agricultural startup cases. By confirming the systematic categorization, a standard model for future agricultural startup success factors was presented, and as a result, a foundation was presented for systematic research and practical effectiveness of related research in the future.

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