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식자재 이커머스 플랫폼 비지니스의 서비스품질 영향요인이 재구매의도에 미치는 영향에 관한 연구: 충성도의 매개효과를 고려하여

  • 이미경;하규수
    • 한국벤처창업학회:학술대회논문집
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    • 2023.04a
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    • pp.7-10
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    • 2023
  • IT기술의 발전과 스마트기기의 대중화로 인한 정보통신기술의 눈부신 발전으로 온라인 플랫폼을 통한 식품구매 비중이 급격히 증가하여 온·오프라인의 경계를 없어지고 있다. 더군다나 COVID-19 팬데믹은 반조리식품, 밀키트 등 홈쿡(Home-cook) 온라인시장을 급격히 확산시키며 소비자 구매추세를 오프라인에서 온라인으로 완전히 바꿔놓는 전환점이 되었다. 이런 트랜드를 반영하듯 다양한 온라인 식자재 이커머스 플랫폼의 출현하면서 브랜드마다 각각의 차별점을 내세우고 있으나 경쟁은 치열해지고 차별화는 더욱 어려운 게 현실이다. 이는 기업이 소비자에게 일방향으로 정보 또는 상품 및 서비스를 제공 하는 수직적 관계가 아닌, 수평적 쌍방향 관계로의 발전으로 이어져 브랜드가 가지고 있는 가치에 대해 보다 정직하게 보여주어야 소비자의 신뢰를 얻을 수 있게 되었다(Kotler, 2017). 또한, 과거에 소비자들의 만족도가 높았던 서비스도 현재 환경에서는 소비자의 니즈를 충족시키지 못하는 경우가 증가하고 있다(조윤오, 2018). 이는 서비스에 대한 소비자의 기대와 니즈가 지속적으로 변화하고 있다는 것을 의미하며, 이에 따라 기업은 소비자들의 새로운 요구를 만족시키기 위하여 다양한 서비스를 개발 및 제공하는 것이 중요하다고 사료된다(김광재 등, 2011). 이미 높은 인지도를 가진 플랫폼일지라도 지속가능한 우위를 선점하기 어려운 상황에서 온라인 플랫폼에 대한 소비자의 긍정적인 태도와 재구매를 유도하기 위해 제품 본질 뿐 아니라 서비스 차별화를 꾀하고 있고 차별화된 포지션을 차지하기 위해 온라인 플랫폼에 대한 소비자 인식과 서비스 품질 요인을 측정하여 고객이 중시하는 요인에 집중하는 것이 필요하다. 이에 본 연구는 온라인 플랫폼을 통해 식자재를 구매하는 소비자의 꾸준한 방문과 구매를 유인하기 위해 어떤 변수의 영향력을 높여야 소비자 재구매의도를 증가시킬 수 있는지 방법을 모색하고 온라인 플랫폼 기업 및 스타트업의 경영전략 마련에 목적이 있다. 이를 위해 식자재 구매 플랫폼 품질속성, 서비스품질 정도,, 충성도의 전반적인 영향관계를 파악하는 연구 과제를 설정하고, 식자재 이커머스 온라인 플랫폼 이용 전반에 대한 평가를 실시할 예정이다. 이러한 과정을 통해 도출된 결과는 식자재 이커머스 플랫폼 운영 전략을 세우는데 유용한 자료가 될 것이라 기대하며, 기존의 온라인 식품구매 플랫폼의 서비스품질 요인과 소비자 행동 간의 관계를 설명하는 것과는 다른 새로운 시사점을 제공할 수 있다는 측면에서 의미 있는 연구가 될 것이다. 또한, 다양한 산업에서의 플랫폼 비지니스 모델 적용을 위한 전략 수립을 하는 데에 필요한 기초자료를 마련하고자 한다.

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Analysis of Prompt Engineering Methodologies and Research Status to Improve Inference Capability of ChatGPT and Other Large Language Models (ChatGPT 및 거대언어모델의 추론 능력 향상을 위한 프롬프트 엔지니어링 방법론 및 연구 현황 분석)

  • Sangun Park;Juyoung Kang
    • Journal of Intelligence and Information Systems
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    • v.29 no.4
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    • pp.287-308
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    • 2023
  • After launching its service in November 2022, ChatGPT has rapidly increased the number of users and is having a significant impact on all aspects of society, bringing a major turning point in the history of artificial intelligence. In particular, the inference ability of large language models such as ChatGPT is improving at a rapid pace through prompt engineering techniques. This reasoning ability can be considered as an important factor for companies that want to adopt artificial intelligence into their workflows or for individuals looking to utilize it. In this paper, we begin with an understanding of in-context learning that enables inference in large language models, explain the concept of prompt engineering, inference with in-context learning, and benchmark data. Moreover, we investigate the prompt engineering techniques that have rapidly improved the inference performance of large language models, and the relationship between the techniques.

Advancing the Frontier in Alkaline Promoter Performance Evaluation: Exploring Simplified Adoption Methods (알칼리 촉진제 성능 측정의 새로운 전환점: 도입 방식의 단순화를 통한 탐구)

  • Wonjoong Yoon;Jiyeon Lee;Jaehoon Kim
    • Clean Technology
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    • v.30 no.1
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    • pp.62-67
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    • 2024
  • In this study, an alkali metal Na was introduced into iron-based catalysts used in the carbon dioxide-based Fischer-Tropsch process by wet impregnation and physical mixing methods to compare their performance. The as-prepared catalysts were evaluated for reactivity at 3.5 MPa, 330 ℃, feed ratio of H2/CO2 = 3 with a space velocity of 4,000 mL h-1 gcat-1. Comparing the two catalysts, it was found that Na was uniformly distributed throughout the catalyst when wet-impregnated, but Na for physically mixed catalyst was relatively located on the surface of the catalyst. In addition, the wet-impregnated catalyst showed higher liquid hydrocarbon (C5+) yield and lower CO selectivity. In conclusion, the effect of Na distribution in the catalyst on the reaction was identified and can be controlled by the introduction method.

Development of a Stock Trading System Using M & W Wave Patterns and Genetic Algorithms (M&W 파동 패턴과 유전자 알고리즘을 이용한 주식 매매 시스템 개발)

  • Yang, Hoonseok;Kim, Sunwoong;Choi, Heung Sik
    • Journal of Intelligence and Information Systems
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    • v.25 no.1
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    • pp.63-83
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    • 2019
  • Investors prefer to look for trading points based on the graph shown in the chart rather than complex analysis, such as corporate intrinsic value analysis and technical auxiliary index analysis. However, the pattern analysis technique is difficult and computerized less than the needs of users. In recent years, there have been many cases of studying stock price patterns using various machine learning techniques including neural networks in the field of artificial intelligence(AI). In particular, the development of IT technology has made it easier to analyze a huge number of chart data to find patterns that can predict stock prices. Although short-term forecasting power of prices has increased in terms of performance so far, long-term forecasting power is limited and is used in short-term trading rather than long-term investment. Other studies have focused on mechanically and accurately identifying patterns that were not recognized by past technology, but it can be vulnerable in practical areas because it is a separate matter whether the patterns found are suitable for trading. When they find a meaningful pattern, they find a point that matches the pattern. They then measure their performance after n days, assuming that they have bought at that point in time. Since this approach is to calculate virtual revenues, there can be many disparities with reality. The existing research method tries to find a pattern with stock price prediction power, but this study proposes to define the patterns first and to trade when the pattern with high success probability appears. The M & W wave pattern published by Merrill(1980) is simple because we can distinguish it by five turning points. Despite the report that some patterns have price predictability, there were no performance reports used in the actual market. The simplicity of a pattern consisting of five turning points has the advantage of reducing the cost of increasing pattern recognition accuracy. In this study, 16 patterns of up conversion and 16 patterns of down conversion are reclassified into ten groups so that they can be easily implemented by the system. Only one pattern with high success rate per group is selected for trading. Patterns that had a high probability of success in the past are likely to succeed in the future. So we trade when such a pattern occurs. It is a real situation because it is measured assuming that both the buy and sell have been executed. We tested three ways to calculate the turning point. The first method, the minimum change rate zig-zag method, removes price movements below a certain percentage and calculates the vertex. In the second method, high-low line zig-zag, the high price that meets the n-day high price line is calculated at the peak price, and the low price that meets the n-day low price line is calculated at the valley price. In the third method, the swing wave method, the high price in the center higher than n high prices on the left and right is calculated as the peak price. If the central low price is lower than the n low price on the left and right, it is calculated as valley price. The swing wave method was superior to the other methods in the test results. It is interpreted that the transaction after checking the completion of the pattern is more effective than the transaction in the unfinished state of the pattern. Genetic algorithms(GA) were the most suitable solution, although it was virtually impossible to find patterns with high success rates because the number of cases was too large in this simulation. We also performed the simulation using the Walk-forward Analysis(WFA) method, which tests the test section and the application section separately. So we were able to respond appropriately to market changes. In this study, we optimize the stock portfolio because there is a risk of over-optimized if we implement the variable optimality for each individual stock. Therefore, we selected the number of constituent stocks as 20 to increase the effect of diversified investment while avoiding optimization. We tested the KOSPI market by dividing it into six categories. In the results, the portfolio of small cap stock was the most successful and the high vol stock portfolio was the second best. This shows that patterns need to have some price volatility in order for patterns to be shaped, but volatility is not the best.

Development Process of the 88 Seoul Olympic Park as Sculpture Park and Its Discourses (88올림픽공원 조각공원의 조성 과정 및 전후 담론의 해석)

  • Shin, Myungjin;Sung, Jong-Sang;Pae, Jeong-Hann
    • Journal of the Korean Institute of Landscape Architecture
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    • v.48 no.1
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    • pp.46-56
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    • 2020
  • The 88 Olympic Park is a monumental urban park in Seoul, developed to commemorate South Korea's hosting of the 1988 Seoul Olympic Games. Initially conceived to emphasize the event slogan, 'Cultural Olympics,' which was driven by the Korean government, the park, already designed and constructed by 1986, was reconfigured into a sculpture park following two international outdoor sculpture Olympiads and an invitational sculpture exhibition. This study takes a look at the process of redesigning the park into sculpture park and the socio-political discussions surrounding such a process, in order to reconsider the significance of the 88 Seoul Olympic Park with regards to Korean landscape architectural history. Several discussions within Korean society arose during the redesign process. First, there were critiques on the artwork selection during the early phase of the project. Second, issues regarding the conservation of the national heritage site, Mongchon-tosung, located within the park, gave rise to a larger discourse on heritage preservation in Seoul. Third, discussions regarding the formation of the park identity, or lack thereof, prevalent. Through this study, the 88 Seoul Olympic Park presents itself as an example where large park construction in Seoul caused discussions regarding globalization, nationalism, publicness and art to be brought forth. This paper concludes that the 88 Seoul Olympic Park is a cultural landscape that requires further examination and exploration as it provides rich historical context for understanding the history of cultural and artistic practices in Korean urban landscapes.

Return-to-Work Experiences among Nurses after Receiving Cancer Treatment (암 치료를 받은 간호사의 직장복귀 경험)

  • Kim, Mi-Hye;Kim, Jeong-Seon;Kim, Han-Na
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.215-225
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    • 2016
  • The purpose this study was to explore the return-to-work experience of nurses after receiving cancer treatment. The participants of this research were 6 registered nurses who were working when they were diagnosed with cancer. Data were collected by individual in-depth interviews from January 5 to January 29, 2016 and analyzed using phenomenological methodology by Colaizzi(1978). The study results revealed that the return-to-work experiences of nurses after receiving cancer treatment may be categorized as 'Enduring hardly', 'Living a balance in my turning point', 'Reborn' and may be identified with 9 theme clusters and 27 themes. Their experience of returning to work as a nurse after cancer treatment consisted of expressing difficulty in handling both work and treatment. Despite that, they came to live a more mature life after their disease and came to affirm their existence through their work. Thus, an improved working environment to manage both work and treatment and continual support and assistance from society is deemed necessary.

Factors Affecting Hydration Rate of Black Soybeans (검정콩의 흡수속도(吸水速度)에 미치는 영향인자)

  • Kim, Woo-Jung;Shin, Ea-Sook;Kim, Chong-Kun;Yang, Cha-Bum
    • Korean Journal of Food Science and Technology
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    • v.17 no.1
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    • pp.41-44
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    • 1985
  • Dried black soybeans were soaked in water at the temperature range of $4^{\circ}C-100^{\circ}C$ and in the solution having various concentration of salt and sugar, in order to investigate their effects on water absorption characteristics. The hydration rate was determined by the method of weight gain during soaking. The times required to reach specified degrees of hydration were reduced logarithmically by increase of temperature, with showing a break point in their Z-values at $60^{\circ}C$. The temperature effect on hydrations of black soybeans was higher at the temperature below $60^{\circ}C$. Increase of NaCl or sucrose concentration in soaking solution reduced the hydration rate. The Z-values were changed at the concentration of 25% for sucrose and 16% for NaCl. The activation energy for hydration of 30%-50% was found to be 5.7-7.2Kcal/mole. The higher activation energy was required to reach higher degree of hydration.

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A Study on Smart Eco-city and Ubiquitous Administrative Spatial Informatization : In terms of Water Pollution and Disaster Prevention of Busan Ecodeltacity (스마트생태도시와 유비쿼터스 행정공간정보화연구 -부산 에코델타시티 수질오염 재난방재 측면에서-)

  • Lee, Sang-Yun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.9
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    • pp.827-840
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    • 2016
  • In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the city disaster prevention system with big data, aspects of the era change. Therefore, this study was to derive a desirable vision for the big data city disaster prevention informatization in terms of ICT city disaster prevention system development as preparedness for the city disaster by applying 'scenario planning' as a foresight method. Soon this study derived a successful city disaster prevention informatization strategy as preparedness for the city disaster, for example, in terms of water pollution and disaster prevention of Busan Ecodeltacity. It proposed the big data city disaster prevention informatization system with the use of the administrative aspects of information with spatial informatization as big data information. Also this study explored the future leadership strategy of the big data city disaster prevention informatization in smart society and smart eco-city. Eventually in 2030 to around, in order to still remain our city disaster prevention informatization as a leading ICT nation, this study suggested the following strategy. It is important to ready the advanced ubiquitous administrative spatial informatization and ICT disaster prevention system with big data in terms of water pollution and disaster prevention of Busan Ecodeltacity.

A Study on the Role of Computer-Added Stenography in Scientific Investigation (과학적 조사기법에 적합한 컴퓨터 속기의 역할에 관한 연구)

  • Lee, Gyu-An
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.4
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    • pp.533-537
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    • 2011
  • The revision of the criminal procedure act in 2008 marked a great turnaround in the criminal trial system in our country, and the criminal trial system has been based on the trial priority principle from then on. People in general have been entitled to participate in criminal trials, which can be called the jury system, and their awareness of the law has consequently been taken to another level. And the principle of trial by evidence that requires fair process, explanation and scientific evidence is realized in a manner to be appropriate at people(jury)'s level. The prosecution was introduced a video recording system to ensure the efficiency of scientific criminal investigation and assisted every prosecutor's office across the nation to hire computer-added stenographers to back up the documentation of statements during video recording. The purpose of this study was to examine the Korean and foreign computer-added stenography systems and the prospect of computer-added stenography of the video recording system that has been utilized to make a scientific investigation. The effort by this study to look into the roles and prospect of computer-added stenography in the video recording system that has been introduced to improve the efficiency of scientific investigation, which the prosecution pursues, is expected to expedite the advancement of criminal investigation, to guarantee the protection of human rights and to shed new light on the importance and status of computer-added stenography in the trial priority principle.

Increase in Moisture Barrier Properties of Alginate-based Films by Composting with Fatty Acids and $CaCl_{2}$ Treatment (지방산과 $CaCl_{2}$ 처리에 의한 알긴산 필름의 수분저항성 증진)

  • Rhim, Jong-Whan;Kim, Ji-Hye
    • Korean Journal of Food Science and Technology
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    • v.36 no.3
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    • pp.432-439
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    • 2004
  • Increase in water vapor barrier properties of sodium alginate films was studied by preparing composite films with fatty acids, i.e., lauric, palmitic, stearic, and oleic acids, and by treatment with 3% $CaCl_{2}$ solution for 3 min. Film thickness, surface color, microstructure, tensile strength (TS), elongation at break (E), water vapor permeability (WVP), water solubility (WS), and sorption isotherm of films were investigated. Microstructure of films observed with SEM was changed by fatty acid and $CaCl_{2}$ treatments. TS decreased 25-70% depending on fatty acid used, and increased 1.5- to 2-fold by $CaCl_{2}$ treatment. E decreased by both fatty acid and $CaCl_{2}$ treatments. Except oleic acid, WVP decreased significantly (p<0.05) by forming composite films with fatty acids, particularly with stearic acid, WVP decreased more than two-fold. WS also decreased by fatty acid and $CaCl_{2}$ treatments. In stearic acid, WS decreased about 30-fold by combined treatment of fatty acid and $CaCl_{2}$. Sorption isotherm showed typical biphasic pattern with deliquescent point of 0.75. Results of isotherms and BET monolayer moisture content indicated hydrophilicity of film decreased by $CaCl_{2}$ treatment.