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Pallet Size Optimization for Special Cargo based on Neighborhood Search Algorithm (이웃해 탐색 알고리즘 기반의 특수화물 팔레트 크기 최적화)

  • Hyeon-Soo Shin;Chang-Hyeon Kim;Chang-Wan Ha;Hwan-Seong Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.250-251
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    • 2023
  • The pallet, typically a form of tertiary packaging, is a flat structure used as a base for the unitization of goods in the supply chain. In addition, standard pallets such as T-11 and T-12 are used throughout the logistics industry to reduce the cost and enhance the efficiency of transportation. However, in the case of special cargo, it is impossible to handle such cargo using a standard pallet due to its size and weight, so many have developed and are now using their customized pallet. Therefore, this study suggests a pallet size optimization method to calculate the optimal pallet size, which minimizes the loss of space on a pallet. The main input features are the specifications and the storage quantity of each cargo, and the optimization method that has modified the Neighborhood Search Algorithm calculates the optimal pallet size. In order to verify the optimality of the developed algorithm, a comparative analysis has been conducted through simulation.

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Understanding the Influence of Funder Characteristics on Information Processing and Pledging Intention on a Reward-based Crowdfunding Platform (보상기반 크라우드 펀딩 플랫폼에서 투자자의 특성이 정보 처리 및 투자 의사결정에 미치는 영향)

  • Ilyoo Barry Hong;KwangWook Gang;Hoon S. Cha
    • Information Systems Review
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    • v.25 no.4
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    • pp.265-290
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    • 2023
  • Even though crowdfunding has become popular as a novel means of raising capital for early-stage ventures and startups through an Internet-based platform, it is unclear how a funder's characteristics, such as motivation and ability, influence their information processing and pledging decision. This study aims to propose and test a research model for determining the relationships between a funder's personal attributes, information processing style, and funding intention. To test the research model, we collected data from 139 Amazon Mechanical Turk participants through an online questionnaire survey. The findings indicate that a funder's self-efficacy has a positive effect on heuristic processing but has no significant effect on systematic processing. By contrast, a funder's personal relevance positively influences both systematic and heuristic processing. Furthermore, heuristic processing, as well as perceived value and perceived risk, influence pledging intentions positively. Our findings potentially contribute to improving the design of crowdfunding platforms to better support a funder's information needs. Based on our findings, we discuss the implications of our study as well as the directions for future research.

The Signaling Effect of Government R&D Subsidies on Inducing Venture Capital Funding (스타트업 대상 정부 R&D 지원금의 벤처 투자 유도 효과)

  • Hong, Seulki;Bae, Sung Joo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.6
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    • pp.39-50
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    • 2022
  • Based on the signaling theory, this study examined whether startups are more likely to attract venture investment when receiving government R&D subsidies. First, we reviewed previous studies of the investment decision-making process of venture capitalists and understood the conditions that influence investment decisions. Based on previous studies on the signal effect of government subsidies, particularly government R&D grants, on inducing private fund investment, this study revealed a mechanism to induce venture investment by startups. In addition, in order to verify whether government R&D subsidies have the effect of inducing venture investment, an empirical analysis was conducted based on data from startups under seven years and certified as a venture companies in 2021. This paper used PSM(Propensity Score Matching) method and DID(Difference In Difference) analysis for an empirical study to analyze the average treatment effect on the treated group(beneficiary startups of government R&D grants). As a result of empirical analysis, companies that receive more government R&D subsidies after starting a business are more likely to attract venture investment. From two to three years after conducting the first government R&D project, startups that received government R&D grants attracted more venture investment than those that did not. The results of this paper demonstrate that government R&D projects can also affect the venture investment ecosystem, giving policy implications to government R&D projects targeting startups. It is also expected to suggest strategic implications to startups that need new funding.

The Effect of Angel Investment on Corporate Financial Performance (엔젤투자가 기업의 재무적 성과에 미치는 영향)

  • Sang Chang Lee;Byungkwon Lim;Chun-Kyu Kim
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.18 no.5
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    • pp.109-121
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    • 2023
  • This paper examines whether angel investors affect startup's financial performance (profitability and growth ratios) in the Korean startup market over 10 years period from 2009 to 2018. In particular, we consider not only the behavior of angel investor such as the investment amount or the type of investments (stocks, bonds) but also the type of angle investor (individual or corporation). Our empirical results are as follows. First, we find that the startup's profitability ratios are higher after the investment of angel investors. However, the growth ratios show different results in assets and sales. Second, we identify that the investment amount of angel investors negatively affects on the startup's growth ratios. Lastly, we find that equity investment such as common stock or preferred stock and the individual angel investors such as personal investment association or professional angels show higher financial performance than bond investment or corporate angel investors. Overall, our findings imply that angel investors positively affect startup's financial performance. In particular, we infer that the superior financial performance is largely attributed to monitor startups by participating as shareholders or to select more carefully by the individual angel investors who may be exposed to more investment risk. In conclusion, our findings support that angel investors play a positive role in the Korean venture investment market.

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A Study on Improvement of the KONEX, the Emerging Exchange for SMEs and Startups (코넥스(KONEX)시장의 재도약을 위한 제도개선 연구)

  • Kim, Yun Kyung;Shin, Hyun-Han;Joe, Byoung-Moon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.1
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    • pp.177-189
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    • 2022
  • This study proposes policy recommendations for the Korea New Exchange ("KONEX"), which is a financial platform for SMEs and startups that relied on indirect and policy financing in the past. SMEs and venture firms with limited human and physical listing resources can grow through market incubation, and venture capitalists expect an early exit or return on investment. However, the lack of liquidity and sluggish trading volume have weakened the function of the market. Despite prior policy efforts, the number of newly listed companies has decreased while listing demand for KOSDAQ and K-OTC has increased. This study aims to suggest short- and long-term improvements in regulations and throughout the KONEX firms' listing life cycle. First, the minimum deposit requirement on individual investors should be abolished to increase the number of investors. Second, information disclosure should be conducted by firms so that the nominated advisor can focus on discovering and supporting new listed companies. Third, in order to increase trading volume, the 5% dispersion rule should be changed to 25% dispersion incentive principle. Fourth, a new track without profit condition in expedited transfer listing should be introduced because the KOSDAQ relaxes the profit realization requirements for listing. Lastly, transfer listing without additional review for firms that fulfill ownership dispersion, information disclosure, and investor protection will strengthen the incubating role of the KONEX.

Identifying the Cause of Speculative Investment in Cryptocurrency Investment: Based on the Theory of Bounded Rationality (암호화폐 투자에서 투자자들의 투기적 행동을 야기하는 원인 규명: 제한된 합리성 이론을 기반으로)

  • Eunyoung Kim;Byungcho Kim
    • Information Systems Review
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    • v.22 no.1
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    • pp.33-57
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    • 2020
  • Although cryptocurrency which can promote innovation in the blockchain ecosystem is published for many useful purposes, in Korea, cryptocurrency is recognized only as a means of investment for the profit. The fact emphasizes only the speculative nature of the cryptocurrency, so investor negates the fundamental purpose of cryptocurrency and hinders innovation in the blockchain ecosystem. The purpose of this study is to investigate the cause of cryptocurrency perception and speculative behavior of domestic cryptocurrency investors from an academic perspective. We use a model that reflects the traditional considerations and cryptocurrency's characteristics in investment. Using the model, we can explain the cause of misperception of cryptocurrency through the theory of bounded rationality. In building the research model, we use variables of venture and angel investor's consideration used in investment decisions and collect the keywords from indexes of whitepaper to reflect the properties of cryptocurrency. This study mentions that, due to the imitations presented by Simon, individuals are forced to perceive cryptocurrency as a means of speculation and to make irrational decisions that impair ecosystem health. We analyze whether there is a significant difference in rationality in decision made by the sample under limited knowledge and imperfect information constraints. As a result, imperfect information constraints led investors to consider only irrational criteria in decision making. From this result, this study suggests that information asymmetry needs to be relaxed so that investment can be pursued together with rational investment and development of blockchain ecosystem. In addition, the industry can capture strategic insights for successful financing through ICO by enabling better understanding of investor decision-making.

KAIST 교수창업 활성화 사례 연구

  • 안태욱
    • 한국벤처창업학회:학술대회논문집
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    • 2024.04a
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    • pp.157-160
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    • 2024
  • KAIST는 다수의 성공 창업 사례와 국내 창업생태계에서 기술창업 발생지로 역사적 의미를 이어오고 있다. 최근 KAIST의 교원 창업이 매년 증가하고 있으며 딥테크 분야 창업으로 성장률과 생존율이 매우 높게 나타나 많은 주목을 받고 있다. 국가적으로도 매우 중요한 혁신기술창업 집적지라는 평가를 받고 있다. 대표적인 기업가적 대학인 KAIST는 기술창업 요람이라고 불리며 오랫동안 캠퍼스 창업생태계를 구축해오고 있다. 또한, 대한민국 창업생태계가 발전하면서 창업기업을 가장 많이 배출시킨 기관으로 혁신적인 창업문화를 선도해 오고 있다. 최근 KAIST의 신문화전략 1 Lab 1 Startup 비전을 수립하였고, 과학기술의 우수한 기술력을 바탕으로 연구실 R&D 기술을 혁신창업으로 이어지는 사업화를 위한 변화와 혁신을 주도하고 있다. 신문화전략 이후 몇 년 동안 교원들이 더욱 창업에 많은 관심을 가지기 시작하였고, 실질적으로 KAIST의 혁신 창업기업 수가 증가하였다. 이러한 결과는 신문화 전략 외에도 다양한 교원창업 성공사례 확산, 교원창업 활성화를 위해 제도개선, 아이디어 발굴부터 기술사업화 지원, 자금조달, 비즈니스 모델 고도화, 기술사업화 및 글로벌 창업지원, 창업 인프라를 제공하고 있기 때문이다. 하지만 KAIST의 창업을 한 교수를 대상으로 세부적으로 기술창업 성공 사례와 핵심요인에 대해서 분석한 연구는 매우 부족하다. 이에 본 연구에서는 KAIST에서는 교원창업 분야에서 성공적인 창업기업을 배출되고 있는 현상에 관한 사례, KAIST의 특화된 창업지원프로그램 소개, 교원 창업 성공 사례들이 어떻게 가능한지에 관한 요인과 그 이유를 탐색하고자 한다. 교수 창업 활성화를 위한 규정, 제도, 창업지원프로그램 등에 대해서 분석을 하고자 한다. 그러므로 본 연구에서는 대표성이 있는 KAIST N차(연쇄 창업가) 창업을 한 A 교수의 사례를 중심으로 어떻게 지속해서 창업하고 있는지, 성공 요인이 무엇인지, 어떻게 하면 교원창업이 활성화될 수 있는지 요인들을 파악하고, 연쇄 창업 방법론이 무엇인지 사례조사와 함께 선행연구 문헌 자료 조사, 인터뷰를 중심으로 연구하여 대한민국에서 실질적인 교수창업이 활성화될 수 있는 활성화 모델을 제시하고자 한다. 따라서 본 연구를 통해 교원창업에 있어서 실질적인 애로사항, 현황, 여러 번 인터뷰를 통해 핵심 요인과 원인을 파악하고자 한다. 국가적으로 대학 교원 창업 활성화 모델이 필요한 시점에 실효성이 있고 성과를 창출할 수 있는 활성화 모델을 제시하여 대학의 우수한 연구, 인적 자원을 활용한 혁신 창업 활성화 모델을 새롭게 제시하여 기업가적 대학으로 발전하고 교원들이 적극적으로 창업에 관심을 가지고 성공적인 성과를 창출할 수 있도록 체계를 만들고자 한다. 본 연구에서 제시하는 A교수의 N차(5개 창업) 창업한 사례 연구를 통해 대학 교원들의 혁신창업 활성화를 위한 정책적, 실무적 시사점을 도출하고자 한다.

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Study on Customer Satisfaction Performance Evaluation through e-SCM-based OMS Implementation (e-SCM 기반 OMS 구현을 통한 고객 만족 성과평가에 관한 연구)

  • Hyungdo Zun;ChiGon Kim;KyungBae Yoon
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.891-899
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    • 2024
  • The Fourth Industrial Revolution is centered on a personalized demand fulfillment economy and is all about transformation and flexible processing that can deliver what customers want in real time across space and time. This paper implements the construction and operation of a packaging platform that can instantly procure the required packaging products based on real-time orders and evaluates its performance. The components of customer satisfaction are flexible and dependent on the situation which requires efficient management of enterprise operational processes based on an e-SCM platform. An OMS optimized for these conditions plays an important role in maximizing and differentiating the efficiency of a company's operations and improving its cost advantage. OMS is a system of mass customization that provides efficient MOT(Moment of Truth) logistics services to meet the eco-friendly issues of many individual customers and achieve optimized logistics operation goals to enhance repurchase intentions and sustainable business. OMS precisely analyzes the collected data to support information and decision-making related to efficiency, productivity, cost and provide accurate reports. It uses data visualization tools to express data visually and suggests directions for improvement of the operational process through statistics and prediction analysis.

A Study on Global Initiatives on Greenhouse Gas Reduction in the International Aviation (항공분야 기후변화 대응 현황 - 최근 ICAO 고위급회의 논의를 중심으로 -)

  • Maeng, Sung-Gyu;Hwang, Ho-Won
    • The Korean Journal of Air & Space Law and Policy
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    • v.24 no.2
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    • pp.47-67
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    • 2009
  • In recent years, greenhouse gas (GHG) reduction has become high priority issue in international aviation. GHG emissions from the aviation sector only accounts for approximately 2 percent of total GHG emissions in the world. However, as with GHG gases in other sectors, it has been pointed out as a contributing factor to global warming and there is an ongoing conversation in the aviation community to establish international framework for emissions reductions. In the case of international aviation, effects of aviation activities of a State go beyond the airports and airspace of that State. This makes compiling of GHG emissions data very difficult. There are also other legal and technical issues, namely the principle of “Common but Differentiated Responsibility (CBDR)” under the United Nations Framework Convention on Climate Change (UNFCCC) and “Fair Opportunity” principle of the Chicago Convention. For all these reason, it is expected that it will not be an easy job to establish an internationally agreed mechanism for reducing emissions in spite of continuing collaboration among States. UN adopted the UNFCCC in 1990 and the Kyoto Protocol in 1997 to impose common but differentiated responsibility on emissions reductions. In international aviation, ICAO has been taking the lead in measures for the aviation sector. In this role, ICAO held the High-level Meeting on International Aviation and Climate Change on 7 to 9 October 2009 at its Headquarters in Montreal and endorsed recommendations on reducing GHG from international aviation which will also be reported to the 15th Meeting of the Conference of the Parties (COP15). Key items include basic principle in global aviation emissions reduction: aspirational goals and implementation options: strategies and measures to achieve goals: means to measure and monitor the implementation; and financial and human resources. It is very likely that the Republic of Korea will be included among the Parties subject to mandatory limitation or reduction of GHG emissions after 2013. Therefore, it is necessary for Korea to thoroughly analyze ICAO measures to develop comprehensive measures for reducing aviation emissions and to take proactive actions to prepare for future discussions on critical issues after COP15.

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A Study on the Buyer's Decision Making Models for Introducing Intelligent Online Handmade Services (지능형 온라인 핸드메이드 서비스 도입을 위한 구매자 의사결정모형에 관한 연구)

  • Park, Jong-Won;Yang, Sung-Byung
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.119-138
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    • 2016
  • Since the Industrial Revolution, which made the mass production and mass distribution of standardized goods possible, machine-made (manufactured) products have accounted for the majority of the market. However, in recent years, the phenomenon of purchasing even more expensive handmade products has become a noticeable trend as consumers have started to acknowledge the value of handmade products, such as the craftsman's commitment, belief in their quality and scarcity, and the sense of self-esteem from having them,. Consumer interest in these handmade products has shown explosive growth and has been coupled with the recent development of three-dimensional (3D) printing technologies. Etsy.com is the world's largest online handmade platform. It is no different from any other online platform; it provides an online market where buyers and sellers virtually meet to share information and transact business. However, Etsy.com is different in that shops within this platform only deal with handmade products in a variety of categories, ranging from jewelry to toys. Since its establishment in 2005, despite being limited to handmade products, Etsy.com has enjoyed rapid growth in membership, transaction volume, and revenue. Most recently in April 2015, it raised funds through an initial public offering (IPO) of more than 1.8 billion USD, which demonstrates the huge potential of online handmade platforms. After the success of Etsy.com, various types of online handmade platforms such as Handmade at Amazon, ArtFire, DaWanda, and Craft is ART have emerged and are now competing with each other, at the same time, which has increased the size of the market. According to Deloitte's 2015 holiday survey on which types of gifts the respondents plan to buy during the holiday season, about 16% of U.S. consumers chose "homemade or craft items (e.g., Etsy purchase)," which was the same rate as those for the computer game and shoes categories. This indicates that consumer interests in online handmade platforms will continue to rise in the future. However, this high interest in the market for handmade products and their platforms has not yet led to academic research. Most extant studies have only focused on machine-made products and intelligent services for them. This indicates a lack of studies on handmade products and their intelligent services on virtual platforms. Therefore, this study used signaling theory and prior research on the effects of sellers' characteristics on their performance (e.g., total sales and price premiums) in the buyer-seller relationship to identify the key influencing e-Image factors (e.g., reputation, size, information sharing, and length of relationship). Then, their impacts on the performance of shops within the online handmade platform were empirically examined; the dataset was collected from Etsy.com through the application of web harvesting technology. The results from the structural equation modeling revealed that the reputation, size, and information sharing have significant effects on the total sales, while the reputation and length of relationship influence price premiums. This study extended the online platform research into online handmade platform research by identifying key influencing e-Image factors on within-platform shop's total sales and price premiums based on signaling theory and then performed a statistical investigation. These findings are expected to be a stepping stone for future studies on intelligent online handmade services as well as handmade products themselves. Furthermore, the findings of the study provide online handmade platform operators with practical guidelines on how to implement intelligent online handmade services. They should also help shop managers build their marketing strategies in a more specific and effective manner by suggesting key influencing e-Image factors. The results of this study should contribute to the vitalization of intelligent online handmade services by providing clues on how to maximize within-platform shops' total sales and price premiums.